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<XML>
  <JOURNAL>   
    <YEAR>2019</YEAR>
    <VOL>11</VOL>
    <NO>2</NO>
    <MOSALSAL>41</MOSALSAL>
    <PAGE_NO>78</PAGE_NO>  
    <ARTICLES>

<ARTICLE>
    <TitleE>Microbiota and Autism spectrum disorder</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Autism spectrum disorder (ASD) represents a neurodevelopmental condition characterized by two main deficits: impaired social communication and interaction; restricted and repetitive patterns of interests, behaviors or activities &lt;sup&gt;1&lt;/sup&gt; with prevalence ranges from 2 to 20 per 1,000, worldwide &lt;sup&gt;1,2&lt;/sup&gt;. Presently, core symptoms of autism have no approved treatment. Autistic disorder management emphasis is on behavioral and educational modalities that target the core symptoms &lt;sup&gt;3&lt;/sup&gt;. Psychopharmacologic interventions are introduced to improve daily function and treat associated behavioral problems including hyperactivity, irritability, and aggression; leading to support the implementation of behavioral approaches through reducing the interfering symptoms &lt;sup&gt;3&lt;/sup&gt;.&lt;br /&gt;
In recent years, a growing number of studies have found evidence implicating dysregulation of immune responses and neuroinflammatory mechanisms in patients with ASD &lt;sup&gt;3&lt;/sup&gt;. Dysregulation of T helper cells &lt;sup&gt;4&lt;/sup&gt;, increased plasma levels of proinflammatory cytokines such as interleukin 1, 6 and 8 &lt;sup&gt;1-3&lt;/sup&gt;, increased proliferation and activation of B cells and natural killer cells &lt;sup&gt;4&lt;/sup&gt;, decreased serum levels of immunoglobulin G and M &lt;sup&gt;5&lt;/sup&gt; in presence of immunoglobulin G autoantibodies against neuron-axon filament and glial fibrillary acidic proteins &lt;sup&gt;6&lt;/sup&gt;, and increased microglial and astrocytic density and activation &lt;sup&gt;5&lt;/sup&gt; have been documented.&lt;br /&gt;
Risperidone, as a serotonin 5-HT (2A) receptor antagonist that can attenuate dopamine release as well &lt;sup&gt;3&lt;/sup&gt;, is the only drug approved by the Food and Drug Administration (FDA) for the treatment of irritability in children with ASD. In recent years, research correlates risperidone use with significant weight gain &lt;sup&gt;3&lt;/sup&gt; and with high rate of relapse after discontinuation of the medication in children with ASD &lt;sup&gt;4&lt;/sup&gt;. Despite this, due to lack of insight into the exact pathogenesis of ASD, no new medication could be approved as an adjuvant or standalone treatment for patients with ASD.&amp;nbsp;&lt;br /&gt;
The fact that diet has a huge influence on our health should be common knowledge by now. But what research has been showing us in recent years is just how fundamental the influence of diet on our health can be. Surprising links between diet and a number of previously unsuspected diseases are being continuously established. But food does not affect us only after we are born, it actually starts to shape our health during pre-natal development. Many of these associations between diet and disease, including neurological diseases, are now known to be modulated by the gut microbiota. Research on the gut-brain axis is a blooming field where new and important findings keep streaming. Individuals with ASD often also have gastrointestinal problems and dysbiosis of the gut microbiota, being unclear whether an altered gut flora is a cause of a comorbidity of ASD. It has been suggested that changes in the gut microbiota may indeed play a role in the development of the behavioral symptoms associated with ASD, but the possible mechanisms of this link remain unknown &lt;sup&gt;6&lt;/sup&gt;.&lt;br /&gt;
As for autism, this link may come down to a particular molecule called interleukin-17a (or IL-17a), which is produced by the immune system. The molecule has already been associated with conditions like rheumatoid arthritis, multiple sclerosis, and psoriasis, and has been shown to serve an important role in preventing infections, notably those of the fungal kind. Importantly, it can also influence the way the brain develops in the womb.&lt;br /&gt;
The effects of the microbiome on the development of MIA-induced autism could be prevented either by modifying the pregnant mother&amp;rsquo;s microbiome, or by directly blocking IL-17a signaling.&lt;br /&gt;
Although ASD primarily impacts the brain, over recent years, links with other systems have become clear, in particular, gastrointestinal (issues seem to occur more often in individuals with ASD than in the rest of the population &lt;sup&gt;6&lt;/sup&gt;.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>129</FPAGE>
            <TPAGE>129</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Shahin</Name>
<MidName></MidName>
<Family>Akhondzadeh</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Psychiatric Research Center, Roozbeh Hospital, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Psychiatric Research Center, Roozbeh Hospital, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Editorial</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10348.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Zhang XC, Shu LQ, Zhao XS, Li XK. Autism spectrum disorders: autistic phenotypes and complicated mechanisms. World J Pediatr 2019;15(1):17-25. ##Khalaj M, Saghazadeh A, Shirazi E, Shalbafan MR, Alavi K, Shooshtari MH, et al. Palmitoylethanolamide as adjunctive therapy for autism: Efficacy and safety results from a randomized controlled trial. J Psychiatr Res 2018;103:104-111. ##Hajizadeh-Zaker R, Ghajar A, Mesgarpour B, Afarideh M, Mohammadi MR, Akhondzadeh S. l-Carnosine as an adjunctive therapy to risperidone in children with autistic disorder: A randomized, double-blind, placebo-controlled trial. J Child Adolesc Psychopharmacol 2018;28(1):74-81. ##Ghaleiha A, Alikhani R, Kazemi MR, Mohammadi MR, Mohammadinejad P, Zeinoddini A, et al. Minocycline as adjunctive treatment to risperidone in children with autistic disorder: A randomized, double-blind placebo-controlled trial. J Child Adolesc Psychopharmacol 2016; 26(9):784-791. ##Fattorusso A, Di Genova L, Dell&#39;Isola GB, Mencaroni E, Esposito S. Autism spectrum disorders and the gut microbiota. Nutrients 2019;11(3). ##Pulikkan J, Mazumder A, Grace T. Role of the gut microbiome in autism spectrum disorders. Adv Exp Med Biol 2019;1118:253-269.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Review of Different Sequence Motif Finding Algorithms</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;The DNA motif discovery is a primary step in many systems for studying gene function.&amp;nbsp; Motif discovery plays a vital role in identification of Transcription Factor Binding Sites (TFBSs) that help in learning the mechanisms for regulation of gene expression. Over the past decades, different algorithms were used to design fast and accurate motif discovery tools. These algorithms are generally classified into consensus or probabilistic approaches that many of them are time-consuming and easily trapped in a local optimum. Nature-inspired algorithms and many of combinatorial algorithms are recently proposed to overcome these problems. This paper presents a general classification of motif discovery algorithms with new sub-categories that facilitate building a successful motif discovery algorithm. It also presents a summary of comparison between them.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>130</FPAGE>
            <TPAGE>148</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Fatma</Name>
<MidName></MidName>
<Family>Hashim</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biomedical Engineering, Helwan University</Organization>
</Organizations>
<Universities>
<University>Department of Biomedical Engineering, Helwan University</University>
</Universities>
<Countries>
<Country>Egypt</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mai</Name>
<MidName></MidName>
<Family>Mabrouk</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biomedical Engineering, Misr University for Science and Technology (MUST)</Organization>
</Organizations>
<Universities>
<University>Department of Biomedical Engineering, Misr University for Science and Technology (MUST)</University>
</Universities>
<Countries>
<Country>Egypt</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Walid</Name>
<MidName></MidName>
<Family>Al-Atabany</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biomedical Engineering, Helwan University</Organization>
</Organizations>
<Universities>
<University>Department of Biomedical Engineering, Helwan University</University>
</Universities>
<Countries>
<Country>Egypt</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Algorithms</KeyText></KEYWORD><KEYWORD><KeyText>Bioinformatics</KeyText></KEYWORD><KEYWORD><KeyText>Consensus</KeyText></KEYWORD><KEYWORD><KeyText>Gene expression regulation</KeyText></KEYWORD><KEYWORD><KeyText>Nucleotide motif</KeyText></KEYWORD><KEYWORD><KeyText>Protein binding</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10368.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
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Hybrid multiobjective artificial bee colony with differential evolution applied to motif finding. Evol Comput Mach Learn Data Min Bioinform 2013;7833:68-79.##Machhi V, Patel MS, Degama J. Motif finding with application to the transcription factor binding sites problem. Int J Comput Appl 2015;120(15):7-10.##Bouamama S, Boukerram A, Al-Badarneh AF. Motif finding using ant colony optimization. ANTS 2010; 6234:464-471.##Yang CH, Liu YT, Chuang LY. DNA motif discovery based on ant colony optimization and expectation maximization. Proceedings of the International MultiConference of Engineers and Computer Scientists; 2011 March 16-18; Hong Kong.##Elewa ES, Abdelhalim M, Mabrouk MS. Adaptation of cuckoo search algorithm for the motif finding problem.  2014 10th International Computer Engineering Conference (ICENCO); 2014 Dec 29-30; Giza: Egypt. New York: IEEE. p. 87-91.##Makolo A, Osofisan A, Adebiyi E. Comparative ana-lysis of similarity check mechanism for motif extra-ction. African J Computing &amp; ICT 2012;5 (1):53-58. ##Liu XS, Brutlag DL, Liu JS. An algorithm for finding protein–DNA binding sites with applications to chromatin-immunoprecipitation microarray experiment-s. Nat Biotechnol 2002;20(8):835-839.  ##Mendes ND, Casimiro AC, Santos PM, S&#225;-Correia I, Oliveira AL, Freitas AT. MUSA: a parameter free algorithm for the identification of biologically significant motifs. Bioinformatics. 2006;22(24):2996-3002.  ##Hu J, Yang YD, Kihara D. EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences. BMC Bioinformatics 2006;7:342. ##Bussemaker HJ, Li H, Siggia ED. Building a dictionary for genomes: identification of presumptive regulatory sites by statistical analysis. Proc Natl Acad Sci U S A 2000;97(18):10096-100. ##Wang G, Yu T, Zhang W. WordSpy: identifying transcription factor binding motifs by building a dictionary and learning a grammar. Nucleic Acids Res 2005;33(Web Server issue):W412-6. ##Goldberg DE. Genetic algorithms in search, optimi-zation and machine learning. 1st ed. Boston, MA, USA: Addison-Wesley Longman Publishing Co; 1989. 412 p. ##Koza JR. Genetic programming: on the programming of computers by means of natural selection. Vol. 1. USA: MIT Press; 1992. 825 p.##Storn R, Price K. Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 1997;11(4):341-359.##Beyer HG, Schwefel HP. Evolution strategies-A com-prehensive introduction. Nat Comput 2002;1:3-52.##De Jong KA. Evolutionary Computation. A Unified Approach. Cambridge, MA, USA: MIT Press; 2006. 268 p.##Civicioglu P, Besdok E. A conceptual comparison of the Cuckoo-search, particle swarm optimization, differential evolution and artificial bee colony algorithms. Artif Intell Rev 2013;39(4):315-346.##Viswanathan GM, Afanasyev V, Buldyrev S, Murphy E. L&#233;vy flight search patterns of wandering albatrosses. Nature 1996;381:413-415.##Niu B, Wang H. Bacterial colony optimization. Discrete Dynamics in Nature and Society  2012;2012.##Shah-Hosseini H. The intelligent water drops algorithm: a nature-inspired swarm-based optimization algori-thmInt. J Bio-Inspired Computation 2009;1:71-79.##Karaboga D, Akay B, Ozturk C. Artificial bee colony (ABC) optimization algorithm for training feed-forward neural networks. International Conference on Modeling Decisions for Artificial Intelligence 2007;4617:318-329.##Dorigo M, Maniezzo V, Colorni A. Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 1996; 26(1):29-41.##Chauhan R, Agarwal P. A Review: Applying genetic algorithms for motif discovery. Int J Computer Technology &amp; Applications 2012;3(4):1510-1515.##Lee MT. Motif finding,&quot; class notes for GCB 535 / CIS 535, Department of Computer and Information Science, University of Pennsylvania, 10 Oct 2004.##Lawrence CE, Reilly AA. An expectation maximization (EM) algorithm for the identification and characteri-zation of common sites in unaligned biopolymer sequences. Proteins 1990;7(1):41-51. ##Machanick P, Bailey TL. MEME-ChIP: motif analysis of large DNA datasets. Bioinformatics 2011;27(12): 1696-1697. ##Bailey TL, Williams N, Misleh C, Li WW. MEME: discovering and analyzing DNA and protein sequence motifs. Nucleic Acids Res 2006;34(web server issue): W369-W373. ##Bailey TL, Bod&#233;n M, Whitington T, Machanick P. The value of position-specific priors in motif discovery using MEME. BMC Bioinformatics 2010;11:179. ##Tanaka E, Bailey TL, Keich U. Improving MEME via a two-tiered significance analysis. Bioinformatics 2014;30 (14):1965-1973. ##Ma W, Noble WS, Bailey TL. Motif-based analysis of large nucleotide data sets using MEME-ChIP. Nat Protoc 2014;9(6):1428-1450.  ##Liu JS, Neuwald AF, Lawrence CE. Bayesian models for multiple local sequence alignment and Gibbs sampling strategies. J Am Stat Assoc 1995;90(432): 1156-1170##Fister Jr I, Yang XS, Fister I, Brest J, Fister D. A brief review of nature-inspired algorithms for optimization. arXiv preprint arXiv 2013:1307.4186v1.##Malhotra R, Singh N, Singh Y. Genetic algorithms: Concepts, design for optimization of process controllers. Computer Inform Sci 2011;4(2):39.##Le T, Altman T, Gardiner K. HIGEDA: a hierarchical gene-set genetics based algorithm for finding subtle motifs in biological sequences. Bioinformatics 2010;26 (3):302-309. ##Thompson W, Rouchka EC, Lawrence CE. Gibbs recursive sampler: finding transcription factor binding sites. Nucleic Acids Res 200331(13):3580-3585. ##Lo NW, Changchien SW, Chang YF, Lu TC. Human promoter prediction based on sorted consensus sequence patterns by genetic algorithms, Proceedings of the International Congress on Biological and Medical Engineering, 2002, p. 1540.##Kennedy J. Particle swarm optimization. In: Sammut C, Webb GI,(eds). Encyclopedia of machine learning. Boston, MA: Springer; 2011. 1061 p.##Chang BC, Ratnaweera A, Halgamuge SK, Watson HC. Particle swarm optimisation for protein motif discovery. Genet Program Evolvable Mach 2004;5(2):203-214.##Karaboga, Dervis. (2005). An Idea Based on Honey Bee Swarm for Numerical Optimization, Technical Report - TR06. Technical Report, Erciyes University. ##Yang XS, Deb S. Cuckoo search via L&#233;vy flights. In: Nature &amp; Biologically Inspired Computing. 2009 World Congress on Nature &amp; Biologically Inspired Computing (NaBIC); 2009 9-11 Dec; Coimbatore, India. USA: IEEE, 2010. p.210-214.##Yang XS, Deb S. Engineering optimisation by cuckoo search. Int J Mathematical Modelling and Numerical Optimisation 2010;1(4):330-343.##Yang XS, Deb S. Multiobjective cuckoo search for design optimization. Comput Oper Res 2013;40(6): 1616-1624.##Pavlyukevich I. L&#233;vy flights, non-local search and simulated annealing. J Comput Phys 2007;226(2):1830-1844.##Yang XS, Deb S. Cuckoo search: recent advances and applications. Neural Comput Appl 2014;24:169-174.##Rouchka EC, Hardin CT. rMotifGen: random motif generator for DNA and protein sequences. BMC Bioinformatics 2007;8:292. ##Ponty Y, Termier M, Denise A. GenRGenS: software for generating random genomic sequences and structures. Bioinformatics 2006;22(12):1534-1535. ##McDonald E, Brown CT. Working with big data in bioinformatics. The Performance of Open Source Applications. http://www.aosabook.org/en/posa/working-with-big-data-in-bioinformatics.html##Pavesi G, Zambelli F, Pesole G. WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequences. BMC Bioinformatics 2007;8:46 ##Li L. Graphic network based methods in discovering TFBS motifs [master&#39;s thesis]. [Ohio (USA)]: The Ohio State University; 2012. 38 p.##Boucher C. Combinatorial and probabilistic approaches to motif recognition [Phd thesis]. [Waterloo, Ontario, Canada]: University of Waterloo; 2010. 138 p.##Lones M, Tyrrell A. Regulatory motif discovery using a population clustering evolutionary algorithm. IEEE/ ACM Transactions on Computational Biology and Bioinformatics 2007;4(3):403-414.##Stormo GD, Hartzell GW. Identifying protein-binding sites from unaligned DNA fragments. Proc Natl Acad Sci USA 1989;86(4):1183-1187. ##Trelea IC. The particle swarm optimization algorithm: convergence analysis and parameter selection. Inf Process Lett 2003;85(6):317-325.##Hassan R, Cohanim B, De Weck O, Venter G. A comparison of particle swarm optimization and the genetic algorithm. Proceedings of the 46th AIAA/ ASME/ASCE/AHS/ASC Structures, Structural Dynamics &amp; Material Conference; 2005 April 18-21; Austin, Texas, p. 1897.##Li M, Du W, Nian F. An adaptive particle swarm optimization algorithm based on directed weighted complex network. Math Probl Eng Volume 2014, 7 pages.##Zhu J, Zhang MQ. SCPD: a promoter database of the yeast Saccharomyces cerevisiae. Bioinformatics 1999; 15(7-8):607-611. ##Mart&#237;nez-Arellano G, Brizuela CA. Comparison of simple encoding schemes in GA’s for the motif finding problem: Preliminary results. In:  Sagot MF, Walter MEMT, (eds). Advances in Bioinformatics and Computational Biology. BSB 2007. Lecture Notes in Computer Science, vol 4643. Springer, Berlin, Heidelberg, 2007, p. 22-33.##Tompa M, Li N, Bailey TL, Church GM, De Moor B, Eskin E, Favorov AV, et al. Assessing computational tools for the discovery of transcription factor binding sites. Nat Biotechnol 2005;23(1):137-144. ##Chan TM, Leung KS, Lee KH. Proceedings of the 7th annual conference on Genetic and evolutionary computation. TFBS identification by position-and consensus-led genetic algorithm with local filtering; 2007 Jul 7-11; London, England, p. 377-384.##Kumar B, Kumar D. A review on artificial bee colony  algorithm. Int J Eng Technol 2013;2(3):175.##Gonz&#225;lez-&#193;lvarez DL, Vega-Rodr&#237;guez MA, G&#243;mez-Pulido JA, S&#225;nchez-P&#233;rez JM. Solving the motif discovery problem by using differential evolution with pareto tournaments. Proceedings of the 2010 IEEE Congress on Evolutionary Computation (CEC 2010); 2010 July 18-23; Barcelona, Spain. Los Alamitos: IEEE Computer Society; p.4140-4147. ##Gonz&#225;lez-&#193;lvarez DL, Vega-Rodr&#237;guez MA, Pulido JAG, S&#225;nchez-P&#233;rez JM. EvoBIO&#39;11 Proceedings of the 9th European conference on Evolutionary computation, machine learning and data mining in bioinformatics. Finding motifs in DNA sequences applying a multiobjective artificial bee colony (MOABC) algorithm; 2011 April 27-29; Torino, Italy: Springer-Verlag Berlin, Heidelberg, pp. 89-100.##Hashim F, Mabrouk MS, Al-Atabany W. GWOMF: Grey Wolf Optimization for motif finding. Proceedings of the 13th International Computer Engineering Conference (ICENCO); 2017 Dec 27-28; Cairo, Egypt. New York: IEEE. 405 p.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>CRISPR/Cas9 System for Efficient Genome Editing and Targeting in the Mouse NIH/3T3 Cells</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: The Clustered, Regularly Interspaced, Short Palindromic Repeats (CRISPR) and CRISPR-associated protein (Cas) system has been used as a powerful tool for genome engineering. In this study, the application of this system is reported for targeting &lt;em&gt;Rag&lt;/em&gt; genes to produce mutant mouse NIH/3T3 cell line. The &lt;em&gt;Rag1&lt;/em&gt; and &lt;em&gt;Rag2&lt;/em&gt; genes are essential for generation of mature B and T lymphocytes. Disruption of &lt;em&gt;Rag&lt;/em&gt; genes causes disease like Severe Combined Immunodeficiency syndrome (SCID). Here, the efficiency and specificity of CRISPR system were tested with highly active sgRNAs to generate novel mutations in the NIH/3T3 mouse cell line.&lt;br /&gt;
Methods: Four single guide RNAs were designed to target sequences in the coding region of the &lt;em&gt;Rag1&lt;/em&gt; and &lt;em&gt;Rag2&lt;/em&gt; genes. Four sgRNA-CAS9 plasmids were tested to target &lt;em&gt;Rag1&lt;/em&gt; and &lt;em&gt;Rag2&lt;/em&gt;.&amp;nbsp;&lt;br /&gt;
Results: Based on T7 endonuclease assay and sequencing analysis, the expression of sgRNAs targeting two sites in &lt;em&gt;Rag1&lt;/em&gt; resulted in deletion of the intervening DNA fragment. The expression of sgRNAs with Cas9 targeting two sites in &lt;em&gt;Rag2 &lt;/em&gt;gene resulted in indel mutations at both sites. In this report, fragment deletion in &lt;em&gt;Rag1&lt;/em&gt;&amp;nbsp;gene was detected in about 50% of transfected cells.&lt;br /&gt;
Conclusion: Therefore, CRISPR/Cas9 system can be highly efficient and specific when gRNAs are designed rationally and provides a powerful approach for genetic engineering of cells and model animals.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>149</FPAGE>
            <TPAGE>155</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Maryam</Name>
<MidName></MidName>
<Family>Mehravar</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR</Organization>
</Organizations>
<Universities>
<University>Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Abolfazl</Name>
<MidName></MidName>
<Family>Shirazi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECRResearch Institute of Animal Embryo Technology, Shahrekord University</Organization>
</Organizations>
<Universities>
<University>Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECRResearch Institute of Animal Embryo Technology, Shahrekord University</University>
</Universities>
<Countries>
<Country>IranIran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mohammad Mehdi</Name>
<MidName></MidName>
<Family>Mehrazar</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR</Organization>
</Organizations>
<Universities>
<University>Reproductive Biotechnology Research Center, Avicenna Research Institute, ACECR</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mahboobeh</Name>
<MidName></MidName>
<Family>Nazari</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Monoclonal Antibody Research Center, Avicenna Research Institute, ACECR</Organization>
</Organizations>
<Universities>
<University>Monoclonal Antibody Research Center, Avicenna Research Institute, ACECR</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mehdi</Name>
<MidName></MidName>
<Family>Banan</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Genetics Research Center, University of Social Welfare and Rehabilitation Sciences</Organization>
</Organizations>
<Universities>
<University>Genetics Research Center, University of Social Welfare and Rehabilitation Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Cell line</KeyText></KEYWORD><KEYWORD><KeyText>Deletion</KeyText></KEYWORD><KEYWORD><KeyText>Gene editing</KeyText></KEYWORD><KEYWORD><KeyText>Mice</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10369.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Carroll D, Morton JJ, Beumer KJ, Segal DJ. Design, construction and in vitro testing of zinc finger nucleases. Nat Protoc 2006;1(3):1329-1341. ##Sanjana NE, Cong L, Zhou Y, Cunniff MM, Feng G, Zhang F. A transcription activator-like effector toolbox for genome engineering. Nat Protoc 2012;7(1):171-192. ##Pennisi E. The CRISPR craze. Science 2013;341(6148):833-836. ##Cong L, Ran FA, Cox D, Lin S, Barretto R, Habib N, et al. Multiplex genome engineering using CRISPR/Cas systems. Science 2013;339(6121):819-823. ##Mali P, Yang L, Esvelt KM, Aach J, Guell M, DiCarlo JE, et al. RNA-guided human genome engineering via Cas9. Science 2013;339(6121):823-826. ##Baker M. Gene editing at CRISPR speed. Nat Biotechnol 2014;32(4):309-313. ##Jore MM, Lundgren M, Van Duijn E, Bultema JB, Westra ER, Waghmare SP, et al. Structural basis for CRISPR RNA-guided DNA recognition by Cascade. Nat Struct Mol Biol 2011;18(5):529-536. ##Canver MC, Bauer DE, Dass A, Yien YY, Chung J, Masuda T, et al. Characterization of genomic deletion efficiency mediated by clustered regularly interspaced palindromic repeats (CRISPR)/Cas9 nuclease system in mammalian cells. J Biol Chem 2014;289(31):21312-21324. ##DiCarlo JE, Norville JE, Mali P, Rios X, Aach J, Church GM. Genome engineering in Saccharomyces cerevisiae using CRISPR-Cas systems. Nucleic Acids Res 2013;41(7):4336-4343. ##Gasiunas G, Barrangou R, Horvath P, Siksnys V. Cas9-crRNA ribonucleoprotein complex mediates specific DNA cleavage for adaptive immunity in bacteria. Proc Natl Acad Sci USA 2012;109(39):E2579-E2586. ##Jinek M, East A, Cheng A, Lin S, Ma E, Doudna J. RNA-programmed genome editing in human cells.Elife 2013;2:e00471.##Delerue F, Ittner LM. Genome editing in mice using CRISPR/Cas9: achievements and prospects. Clon Transgen 2015;4:135.##Shan Q, Wang Y, Li J, Zhang Y, Chen K, Liang Z, et al. Targeted genome modification of crop plants using a CRISPR-Cas system. Nat Biotechnol 2013;31(8):686-688. ##Hu W, Kaminski R, Yang F, Zhang Y, Cosentino L, Li F, et al. RNA-directed gene editing specifically eradicates latent and prevents new HIV-1 infection. Proc Natl Acad Sci USA 2014;111(31):11461-11466. ##Matsunaga T, Yamashita JK. Single-step generation of gene knockout-rescue system in pluripotent stem cells by promoter insertion with CRISPR/Cas9. Biochem Biophys Res Commun 2014;444(2):158-163. ##Horii T, Tamura D, Morita S, Kimura M, Hatada I. Generation of an ICF syndrome model by efficient genome editing of human induced pluripotent stem cells using the CRISPR system. Int J Mol Sci 2013;14(10):19774-19781. ##Cho SW, Kim S, Kim JM, Kim JS. Targeted genome engineering in human cells with the Cas9 RNA-guided endonuclease. Nat Biotechnol 2013;31(3):230-232. ##Fu Y, Foden JA, Khayter C, Maeder ML, Reyon D, Joung JK, et al. High-frequency off-target mutagenesis induced by CRISPR-Cas nucleases in human cells. Nat Biotechnol 2013;31(9):822-826. ##Beliz&#225;rio JE. Immunodeficient mouse models: an over-view. The Open Immunology J 2009;2(1):79-85.##Chapdelaine P, Pichavant C, Rousseau J, Paques F, Tremblay J. Meganucleases can restore the reading frame of a mutated dystrophin. Gene Ther 2010;17(7):846-858. ##M&#233;noret S, Fontani&#232;re S, Jantz D, Tesson L, Thinard R, R&#233;my S, et al. Generation of Rag1-knockout immunodeficient rats and mice using engineered meganucleases. FASEB J 2013;27(2):703-711. ##Niu Y, Shen B, Cui Y, Chen Y, Wang J, Wang L, et al. Generation of gene-modified cynomolgus monkey via Cas9/RNA-mediated gene targeting in one-cell embryos. Cell 2014;156(4):836-843. ##Ji Y, Resch W, Corbett E, Yamane A, Casellas R, Schatz DG. The in vivo pattern of binding of RAG1 and RAG2 to antigen receptor loci. Cell 2010;141(3):419-431. ##Doench JG, Hartenian E, Graham DB, Tothova Z, Hegde M, Smith I, et al. Rational design of highly active sgRNAs for CRISPR-Cas9–mediated gene inactivation. Nat Biotechnol 2014;32(12):1262-1267. ##Gagnon JA, Valen E, Thyme SB, Huang P, Ahkmetova L, Pauli A, et al. Efficient mutagenesis by Cas9 protein-mediated oligonucleotide insertion and large-scale assessment of single-guide RNAs. PloS One 2014;9(5):e98186. ##Qi LS, Larson MH, Gilbert LA, Doudna JA, Weissman JS, Arkin AP, et al. Repurposing CRISPR as an RNA-guided platform for sequence-specific control of gene expression. Cell 2013;152(5):1173-1183. ##Momin S, Georgescu M. Comparison of transfection efficiency between commercially available transfection reagents. 2016. Available from: https://www.biontex.com/media/references/HeLa_transfection_plasmid_DNA_Metafectene%20PRO_Biontex_Georgescu.pdf##Mean R, Pierides A, Deltas C, Koptides M. Modification of the enzyme mismatch cleavage method using T7 endonuclease I and silver staining. Biotechniques 2004;36(5):758-760. ##Vouillot L, Th&#233;lie A, Pollet N. Comparison of T7E1 and surveyor mismatch cleavage assays to detect mutations triggered by engineered nucleases. G3 (Bethesda) 2015;5(3):407-415. ##Xiao A, Wang Z, Hu Y, Wu Y, Luo Z, Yang Z, et al. Chromosomal deletions and inversions mediated by TALENs and CRISPR/Cas in zebrafish. Nucleic Acids Res 2013;41(14):e141-e141. ##Zhou J, Wang J, Shen B, Chen L, Su Y, Yang J, et al. Dual sgRNAs facilitate CRISPR/Cas9‐mediated mouse genome targeting. FEBS J 2014;281(7):1717-1725. ##Zhang L, Jia R, Palange NJ, Satheka AC, Togo J, An Y, et al. Large genomic fragment deletions and insertions in mouse using CRISPR/Cas9. PloS One 2015;10(3):e0120396. ##Bauer DE, Canver MC, Orkin SH. Generation of genomic deletions in mammalian cell lines via CRISPR/Cas9. Journal of visualized experiments: J Vis Exp 2015;(95):52118.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Expression Patterns for TETs, LGR5 and BMI1 in Cancer Stem-like Cells Isolated from Human Colon Cancer</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: Colon tumor is generated and maintained by a small subset of chemo-resistant cancer cells known as Cancer Stem-like Cells (CSCs) that are able to self-renew and differentiate into various cell types within the cancer milieu. CSCs are identified through expression of CD133 that is the most important surface marker of these cells. Epithelial Cell Adhesion Molecule (EpCAM) is another colon CSCs marker. Other markers that are probably involved in colon tumorigenesis are Leucine-rich repeat-containing G-protein-coupled Receptor 5 (LGR5), B cell-specific Moloney murine leukemia virus insertion site 1 (BMI1) and Ten-Eleven Translocations (TETs).&amp;nbsp;&lt;br /&gt;
Methods: Here, mRNA expression rates of &lt;em&gt;LGR5&lt;/em&gt;, &lt;em&gt;BMI1&lt;/em&gt; and &lt;em&gt;TETs&lt;/em&gt; were surveyed by real-time PCR. After collection and digestion, colon samples were used to isolate CD133 and EpCAM positive CSCs through evaluation of AC133 EpCAM by Magnetic Activated Cell Sorting (MACS) and flow cytometry. Real-time PCR was carried out for assessing expressions of LGR5, BMI1 and TETs.&amp;nbsp;&lt;br /&gt;
Results: High expressions for &lt;em&gt;LGR5&lt;/em&gt;, &lt;em&gt;BMI1&lt;/em&gt;, &lt;em&gt;TET1&lt;/em&gt; and &lt;em&gt;TET2&lt;/em&gt; in the CD133 and EpCAM positive CSCs (p&amp;le;0.05 &lt;em&gt;vs.&lt;/em&gt; non-CSCs) were found. &lt;em&gt;TET3&lt;/em&gt;, however, showed no significant changes for mRNA expression in the CSCs.&amp;nbsp;&lt;br /&gt;
Conclusion: In conclusion, high mRNA expressions for &lt;em&gt;LGR5&lt;/em&gt;, &lt;em&gt;BMI1&lt;/em&gt;, &lt;em&gt;TET1&lt;/em&gt; and &lt;em&gt;TET2&lt;/em&gt; in the CD133 and EpCAM positive CSCs may be a useful criterion for better identification of the cells involved in colon cancer in order to specify therapeutic targets against this type of cancer.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>156</FPAGE>
            <TPAGE>161</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Nader</Name>
<MidName></MidName>
<Family>Atlasy</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Anatomy, Faculty of Medicine, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Anatomy, Faculty of Medicine, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Fardin</Name>
<MidName></MidName>
<Family>Amidi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Anatomy, Faculty of Medicine, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Anatomy, Faculty of Medicine, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Keywan</Name>
<MidName></MidName>
<Family>Mortezaee</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Anatomy, Faculty of Medicine, Kurdistan University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Anatomy, Faculty of Medicine, Kurdistan University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mohammad Sadegh</Name>
<MidName></MidName>
<Family> Fazeli</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Surgery, Imam Khomeini Hospital, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Surgery, Imam Khomeini Hospital, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Seyed Javad</Name>
<MidName></MidName>
<Family>Mowla</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Genetics, Faculty of Life Sciences, Tarbiat Modares University</Organization>
</Organizations>
<Universities>
<University>Department of Genetics, Faculty of Life Sciences, Tarbiat Modares University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Fatemeh</Name>
<MidName></MidName>
<Family>Malek</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Anatomy, Faculty of Medicine, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Anatomy, Faculty of Medicine, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Colon</KeyText></KEYWORD><KEYWORD><KeyText>Flow cytometry</KeyText></KEYWORD><KEYWORD><KeyText>Molony murine leukemia virus</KeyText></KEYWORD><KEYWORD><KeyText>Neoplastic stem cells</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10361.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Wahab SR, Islam F, Gopalan V, Lam AK-y. The identifications and clinical implications of cancer stem cells in colorectal cancer. Clin Colorectal Cancer 2017;16(2):93-102.##Sahlberg SH, Spiegelberg D, Glimelius B, Stenerl&#246;w B, Nestor M. Evaluation of cancer stem cell markers CD133, CD44, CD24: association with AKT isoforms and radiation resistance in colon cancer cells. PloS One 2014;9(4):e94621. ##O’Brien CA, Pollett A, Gallinger S, Dick JE. A human colon cancer cell capable of initiating tumour growth in immunodeficient mice. Nature 2007;445(7123):106-110.##Ricci-Vitiani L, Lombardi DG, Pilozzi E, Biffoni M, Todaro M, Peschle C, et al. Identification and expansion of human colon-cancer-initiating cells. Nature 2006;445 (7123):111-115.##de Sousa e Melo F, Kurtova AV, Harnoss JM, Kljavin N, Hoeck JD, Hung J, et al. A distinct role for Lgr5+ stem cells in primary and metastatic colon cancer. Nature 2017;543(7647):676-680.##Fathi A, Mosaad H, Hussein S, Roshdy M, Ismail EI. Prognostic significance of CD133 and ezrin expression in colorectal carcinoma. IUBMB Life 2017;69(5):328-340.##Sureban SM, Qu D, Houchen CW. Regulation of miRNAs by agents targeting the tumor stem cell markers DCLK1, MSI1, LGR5, and BMI1. Curr Pharmacol Rep 2015;1(4):217–222.##Wu XS, Xi HQ, Chen L. Lgr5 is a potential marker of colorectal carcinoma stem cells that correlates with patient survival. World J Surg Oncol 2012;10(1):244.##Scourzic L, Mouly E, Bernard OA. TET proteins and the control of cytosine demethylation in cancer. Genome Med 2015;7(1):9. ##Kinney SRM, Pradhan S. Ten eleven translocation enzymes and 5-hydroxymethylation in mammalian development and cancer. In: Epigenetic Alterations in Oncogenesis: Springer; 2013. p. 57-79.##Kemper K, Sprick MR, de Bree M,  Scopelliti A,  Vermeulen L, Hoek M, et al. The AC133 epitope, but not the CD133 protein, is lost upon cancer stem cell differentiation. Cancer Res 2010;70(2):719-729.##Saigusa S, Tanaka K, Toiyama Y,  Yokoe T, Okugawa Y, Ioue Y, et al. Correlation of CD133, OCT4, and SOX2 in rectal cancer and their association with distant recurrence after chemoradiotherapy. Ann Surg Oncol 2009;16(12):3488-3498.##Kemper K, Versloot M, Cameron K,  Colak S, de Sousa e Melo F, de Jong JH, et al. Mutations in the Ras-Raf Axis underlie the prognostic value of CD133 in colorectal cancer. Clin Cancer Res 2012;18(11):3132-3141.##Gazzaniga P, Gradilone A, Petracca A,  Nicolazzo C,  Raimondi C, Iacovelli R, et al. Molecular markers in circulating tumour cells from metastatic colorectal cancer patients. J Cell Mol Med 2010;14(8):2073-2077.##Wu F, Zhu J, Mao Y, Li X, Hu B, Zhang D. Associations between the epithelial-mesenchymal transition phenotypes of circulating tumor cells and the clinicopathological features of patients with colorectal cancer. Dis Markers 2017;2017:9474532.##Zhou F, Qi Y, Xu H, Wang Q, Gao X, Guo H. Expression of EpCAM and Wnt/beta-catenin in human colon cancer. Genet Mol Res 2015;14(2):4485-4494.##Hanusova V, Skalova L, Kralova V, Matouskovs P. The effect of flubendazole on adhesion and migration in SW-480 and SW620 colon cancer cells. Anticancer Agents Med Chem 2018;18(6):837-846.##Lugli A, Iezzi G, Hostettler I, Muraro MG, Mele V, Tornillo L, et al. Prognostic impact of the expression of putative cancer stem cell markers CD133, CD166, CD44s, EpCAM, and ALDH1 in colorectal cancer. Br J Cancer 2010;103(3):382-390.##Liu Z, Dai W, Jiang L, Cheng Y. Over-expression of LGR5 correlates with poor survival of colon cancer in mice as well as in patients. Neoplasma 2014;61(2):177-185.##Oost KC, van Voorthuijsen L, Fumagalli A,  Lindeboom RGH, Sprangers J, Omerzu M, et al. Specific labeling of stem cell activity in human colorectal organoids using an ASCL2-responsive minigene. Cell Rep 2018;22(6):1600-1614.##Takahashi H, Ishii H, Nishida N, Takemasa I, Mizushima T, Ikeda M, et al. Significance of Lgr5+ ve cancer stem cells in the colon and rectum. Annals Surg Oncol 2011;18(4):1166-1174.##Liu Z, Dai W, Jiang L, Cheng Y. Over-expression of LGR5 correlates with poor survival of colon cancer in mice as well as in patients. Neoplasma 2013;61(2):177-185.##Fesler A, Liu H, Ju J. Modified miR-15a has therapeutic potential for improving treatment of advanced stage colorectal cancer through inhibition of BCL2, BMI1, YAP1 and DCLK1. Oncotarget 2018;9(2):2367.##Espersen MLM, Olsen J, Linnemann D, H&#248;gdall E, Troelsen JT. Clinical implications of intestinal stem cell  markers in colorectal cancer. Clin Colorectal Cancer 2015;14(2):63-71.##Kreso A, van Galen P, Pedley NM,  Lima-Fernandes E, Frelin C, Davis T, et al. Self-renewal as a therapeutic target in human colorectal cancer. Nat Med 2014;20(1):29-36.##L&#243;pez-Arribillaga E, Rodilla V, Pellegrinet L, Guiu J, Iglesias M, Roman AC, et al. Bmi1 regulates murine intestinal stem cell proliferation and self-renewal downstream of Notch. Development 2015;142(1):41-50.##Asfaha S, Hayakawa Y, Muley A,  Stokes S, Graham TA, Ericksen R, et al. Krt19+/Lgr5− cells are radioresistant cancer initiating stem cells in the colon and intestine. Cell Stem Cell 2015;16(6):627-638.##Neri F, Dettori D, Incarnato D,  Krepelova A, Rapelli S, Maldotti M, et al. TET1 is a tumour suppressor that inhibits colon cancer growth by derepressing inhibitors of the WNT pathway. Oncogene 2015;34(32):4168-4176.##Chen ZX, Riggs AD. DNA methylation and demethylation in mammals. J Biol Chem 2011;286(21):18347-18353.##Hu X, Zhang L, Mao SQ, Li Z, Chen J, Zhang RR, et al. Tet and TDG mediate DNA demethylation essential for mesenchymal-to-epithelial transition in somatic cell reprogramming. Cell Stem Cell 2014;14(4):512-522.##Zheng X, Pang B, Gu G,  Gao T, Zhang R, Pang Q, et al. Melatonin inhibits glioblastoma stem-like cells through suppression of EZH2-notch1 signaling axis. Int J Biol Sci 2017;13(2):245-253.##Akbarzadeh M, Movassaghpour AA, Ghanbari H, Kheirandish M, Fathi Maroufi N, Rahbarghazi R, et al. The potential therapeutic effect of melatonin on human ovarian cancer by inhibition of invasion and migration of cancer stem cells. Scientific Reports 2017;7(1):17062.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Optimization of Fermentation Conditions for Reteplase Expression by Escherichia coli Using Response Surface Methodology</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: Expression of heterologous proteins at large scale is often a challenging job due to plasmid instability, accumulation of acetate and oxidative damage in bioreactors. Therefore, it is necessary to optimize parameters influencing cell growth and expression of recombinant protein.&amp;nbsp;&amp;nbsp;&lt;br /&gt;
Methods: In the present study, the optimal culture conditions for expression of reteplase by &lt;em&gt;Escherichia coli (E. coli)&lt;/em&gt; BL21 (DE3) in a bench-top bioreactor was determined. Response Surface Methodology (RSM) based on Box-Behnken design was used to evaluate the effect of three variables (&lt;em&gt;i.e&lt;/em&gt;., temperature, shaking speed and pH) and their interactions with cellular growth and protein production. The obtained data were analyzed by Design Expert software.&lt;br /&gt;
Results: Based on results of 15 experiments, a response surface quadratic model was developed which was used to explain the relation between production of reteplase and three investigated variables. The high value of &amp;quot;R-Squared&amp;quot; (0.9894) and F-value of 51.99 confirmed the accuracy of this model. According to the developed model, the optimum fermentation conditions for reteplase expression were temperature of 32&amp;deg;&lt;em&gt;C&lt;/em&gt;, shaking speed of 210 &lt;em&gt;rpm&lt;/em&gt;, and pH of 8.4. This predicted condition was applied for the production of reteplase in the bioreactor leading to a protein yield of 188 &lt;em&gt;mg/l&lt;/em&gt;.&lt;br /&gt;
Conclusion: Our results indicate the significant role of culture conditions (&lt;em&gt;e.g&lt;/em&gt;., pH, temperature and oxygen supply) in protein expression at large scale and confirm the need for optimization. The proposed strategy here can also be applied to experimental set-up of optimization for fermentation of other proteins.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>162</FPAGE>
            <TPAGE>168</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Hamze</Name>
<MidName></MidName>
<Family>Zare</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Hamid</Name>
<MidName></MidName>
<Family>Mir Mohammad Sadeghi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Vajihe</Name>
<MidName></MidName>
<Family>Akbari</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Pharmaceutical Biotechnology and Isfahan Pharmaceutical Research Center, Faculty of Pharmacy, Isfahan University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Bioreactors</KeyText></KEYWORD><KEYWORD><KeyText>&lt;i&gt;Escherichia coli&lt;/i&gt;</KeyText></KEYWORD><KEYWORD><KeyText>Fermentation</KeyText></KEYWORD><KEYWORD><KeyText>Reteplase</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10371.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Campbell J, Hilleman DE. Recombinant peptides in thrombolysis. Seminars in Thrombosis and Hemostasis 2010;36(5):529-536.##Wooster MB, Luzier AB. Reteplase: a new thrombolytic for the treatment of acute myocardial infarction. Ann Pharmacother 1999;33(3):318-324. ##Barnett AA. FDA follows Europe to approve reteplase. The Lancet 1996;348(9037):1306.##Nordt TK, Bode C. Thrombolysis: newer thrombolytic agents and their role in clinical medicine. Heart 2003;89(11):1358-1362.##Hilleman DE, Tsikouris JP, Seals AA, Marmur JD. Fibrinolytic agents for the management of ST‐segment elevation myocardial infarction. Pharmacotherapy 2007;27(11):1558-1570.##Zou M, Chu J. Expression of reteplase in recombinant Pichia pastoris. Pharm Biotechnol 2008;15(3):172-175.##Aflakiyan S, Sadeghi HM, Shokrgozar M, Rabbani M, Bouzari S, Jahanian-Najafabadi A. Expression of the recombinant plasminogen activator (reteplase) by a non-lytic insect cell expression system. Res Pharm Sci 2013;8(1):9-15.##Hidalgo D, Abdoli-Nasab M, Jalali-Javaran M, Bru-Mart&#237;nez R, Cusid&#243; RM, Corchete P, et al. Biotechnological production of recombinant tissue plasminogen activator protein (reteplase) from transplastomic tobacco cell cultures. Plant Physiol Biochem 2017;118:130-137.##Chen R. Bacterial expression systems for recombinant protein production: E. coli and beyond. Biotechnol Adv 2012;30(5):1102-1107.##Gadgil M, Kapur V, Hu WS. Transcriptional response of Escherichia coli to temperature shift. Biotechnol Prog 2005;21(3):689-699.##Tripathi NK. High yield production of heterologous proteins with Escherichia coli. Defence Sci J 2009;59(2):137-146.##Hsu YL, Wu WT. A novel approach for scaling-up a fermentation system. Biochem Eng J 2002;11(2-3):123-130.##Schmidt FR. Optimization and scale up of industrial fermentation processes. Appl Microbiol Biotechnol 2005;68(4):425-435.##Baş D, Boyacı IH. Modeling and optimization I: Usability of response surface methodology. J Food Eng 2007;78(3):836-845.##Bezerra MA, Santelli RE, Oliveira EP, Villar LS, Escaleira LA. Response surface methodology (RSM) as a tool for optimization in analytical chemistry. Talanta 2008;76(5):965-977.##Liu N, Jiang J, Yan F, Xu Y, Yang M, Gao Y, et al. Optimization of simultaneous production of volatile fatty acids and bio-hydrogen from food waste using response surface methodology. RSC Advances 2018;8(19):10457-10464.##Giovanni M. Response surface methodology and product optimization. Food Technol 1983;37(11):41-45.##Akbari V, Sadeghi HMM, Jafarian-Dehkordi A, Abedi D, Chou CP. Improved biological activity of a single chain antibody fragment against human epidermal growth factor receptor 2 (HER2) expressed in the periplasm of Escherichia coli. Protein Expr Purif 2015;116:66-74.##Shafiee F, Moazen F, Rabbani M, Sadeghi HMM. Expression and activity evaluation of reteplase in Escherichia coli TOP10. J Paramedical Sci 2015;6(3):58-64.##Sadeghi HM, Rabbani M, Rismani E, Moazen F, Khodabakhsh F, Dormiani K, et al. Optimization of the expression of reteplase in Escherichia coli. Res Pharm Sci 2011;6(2):87-92.##Schmidt FR. Optimization and scale up of industrial fermentation processes. Appl Microbiol Biotechnol 2005;68(4):425-435. ##Grabherr R, Nilsson E, Striedner G, Bayer K. Stabilizing plasmid copy number to improve recombinant protein production. Biotechnol Bioeng 2002;77(2):142-147.##Jensen EB, Carlsen S. Production of recombinant human growth hormone in Escherichia coli: expression of different precursors and physiological effects of glucose, acetate, and salts. Biotechnol Bioeng 1990;36(1):1-11.##Coleman ME, Tamplin ML, Phillips JG, Marmer BS. Influence of agitation, inoculum density, pH, and strain on the growth parameters of Escherichia coli O157: H7-relevance to risk assessment. Int J Food Microbiol 2003;83(2):147-160.##Ferreira SC, Bruns R, Ferreira H, Matos G, David J, Brandao G, et al. Box-Behnken design: an alternative for the optimization of analytical methods. Anal Chim Acta 2007;597(2):179-186.##Wang H, Wang F, Wei D. Impact of oxygen supply on rtPA expression in Escherichia coli BL21 (DE3): ammonia effects. Appl Microbiol Biotechnol 2009;82(2):249-259.##Qoronfleh MW. Dissolved oxygen concentration affects the accumulation of HIV-1 recombinant proteins in Escherichia coli. Appl Biochem Biotechnol 1999;80(2):107-120.##Stancik LM, Stancik DM, Schmidt B, Barnhart DM, Yoncheva YN, Slonczewski JL. pH-dependent expression of periplasmic proteins and amino acid catabolism in Escherichia coli. J Bacteriol 2002;184(15):4246-4258.##O’Donnell D, Wang L, Xu J, Ridgway D, Gu T, Moo-Young M. Enhanced heterologous protein production in Aspergillus niger through pH control of extracellular protease activity. Biochem Eng J 2001;8(3):187-193.##Choi JH, Lee SY. Secretory and extracellular production of recombinant proteins using Escherichia coli. Appl Microbiol Biotechnol 2004;64(5):625-635. ##Ukkonen K, Vasala A, Ojamo H, Neubauer P. High-yield production of biologically active recombinant protein in shake flask culture by combination of enzyme-based glucose delivery and increased oxygen transfer. Microbial Cell Fact 2011;10:107. ##M&#252;hlmann M, Forsten E, Noack S, B&#252;chs J. Optimizing recombinant protein expression via automated induction profiling in microtiter plates at different temperatures. Microb Cell Fact 2017;16(1):220.##Mogk A, Mayer MP, Deuerling E. Mechanisms of protein folding: molecular chaperones and their application in biotechnology. Chembiochem 2002;3(9):807-814.##Ferrer M, Chernikova TN, Yakimov MM, Golyshin PN, Timmis KN. Chaperonins govern growth of Escherichia coli at low temperatures. Nat Biotechnol 2003;21(11):1266-1267.##de Groot NS, Ventura S. Effect of temperature on protein quality in bacterial inclusion bodies. FEBS Lett 2006;580(27):6471-6476.##Brinkmann U, Mattes RE, Buckel P. High-level expression of recombinant genes in Escherichia coli is dependent on the availability of the dnaY gene product. Gene 1989;85(1):109-114.##Kohnert U, Rudolph R, Verheijen JH, Jacoline E, Weening-Verhoeff D, Stern A, et al. Biochemical properties of the kringle 2 and protease domains are maintained in the refolded t-PA deletion variant BM 06.022. Protein Eng Des Sel 1992;5(1):93-100.##Zhuo X-F, Zhang Y-Y, Guan Y-X, Yao S-J. Co-expression of disulfide oxidoreductases DsbA/DsbC markedly enhanced soluble and functional expression of reteplase in Escherichia coli. J Biotechnol 2014;192:197-203.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Development of Sensitive and Rapid RNA Transcription-based Isothermal Amplification Method for Detection of Mycobacterium tuberculosis</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: The accurate and early diagnosis of tuberculosis is important for its effective management. During the last decade, several molecular methods for detection of Tuberculosis (TB) have been developed. Since RNA especially mRNA has a generally much shorter half-life than DNA, its detection may be useful for the assessment of viability of bacteria. This research is a Nucleic Acid Sequence Based Amplification-Enzyme Linked Immunosorbent Assay (NASBA-ELISA) which was designed and developed for rapid detection of viable &lt;em&gt;Mycobacterium tuberculosis (M. tuberculosis)&lt;/em&gt;.&amp;nbsp;&lt;br /&gt;
Methods: Oligonucleotide primers targeting &lt;em&gt;tuf&lt;/em&gt; gene encoding viability marker EF-Tu mRNAs were selected and used for the amplification of mycobacterial RNA by the isothermal NASBA Digoxigenin (DIG) labeling process and incorporated with DIG-UTP, reverse transcriptase and T7 RNA polymerase.&amp;nbsp;&lt;br /&gt;
Results: Using the NASBA-ELISA system, as little as 17.5 &lt;em&gt;pg&lt;/em&gt; of RNA of &lt;em&gt;M. tuberculosis&lt;/em&gt; was detected within 4 &lt;em&gt;hr&lt;/em&gt; and no interference was encountered in the amplification and detection of viable &lt;em&gt;M. tuberculosis&lt;/em&gt; in the presence of non-target RNA or DNA. Results obtained from the clinical specimens showed 97 and 75% of sensitivity and specificity, respectively.&lt;br /&gt;
Conclusion: The NASBA-ELISA system offers several advantages in terms of sensitivity, rapidity and simplicity for detection of &lt;em&gt;M. tuberculosis&lt;/em&gt;. Furthermore, due to its simplicity and high sensitivity feature, it could be used in limited access laboratories in a cost-effective manner.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>169</FPAGE>
            <TPAGE>175</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Reihaneh</Name>
<MidName></MidName>
<Family>Ramezani</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biomedical Sciences, Women Research Center, Alzahra UniversityDepartment of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University</Organization>
</Organizations>
<Universities>
<University>Department of Biomedical Sciences, Women Research Center, Alzahra UniversityDepartment of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University</University>
</Universities>
<Countries>
<Country>IranIran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mahdi</Name>
<MidName></MidName>
<Family>Forouzandeh Moghadam</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University</Organization>
</Organizations>
<Universities>
<University>Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mohammad Javad</Name>
<MidName></MidName>
<Family>Rasaee</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University</Organization>
</Organizations>
<Universities>
<University>Department of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Microbial viability</KeyText></KEYWORD><KEYWORD><KeyText>&lt;i&gt;Mycobacterium tuberculosis&lt;/i&gt;</KeyText></KEYWORD><KEYWORD><KeyText>NASBA-ELISA</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10372.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Desjardin LE, Perkins MD, Wolski K, Haun S, Teixeira L, Chen Y, et al. Measurement of sputum Mycobacterium tuberculosis messenger RNA as a surrogate for response to chemotherapy. Am J Respir Crit Care Med 1999;160(1):203-10.##Hellyer TJ, DesJardin LE, Hehman GL, Cave MD, Eisenach KD. Quantitative analysis of mRNA as a marker for viability of Mycobacterium tuberculosis. J Clin Microbiol 1999;37(2):290-295.##Scuderi G, Golmohammadi M, Cubero J, L&#243;pez MM, Cirvilleri G, Llop P. Development of a simplified NASBA protocol for detecting viable cells of the citrus pathogen Xanthomonas citri subsp. citri under different treatments. Plant Pathology 2010;59(4):764-772.##Global tuberculosis report: World Health Organization; 2014.##Garg SK, Tiwari RP, Tiwari D, Singh R, Malhotra D, Ramnani VK, et al. Diagnosis of tuberculosis: available technologies, limitations, and possibilities. J Clin Lab Anal 2003;17(5):155-163.##Katoch VM. Advances in molecular diagnosis of tuberculosis. Med J Armed Forces India 2003;59(3):182-186.##Bahrmand AR, Velayati AA, Bakayev VV. Treatment monitoring and prevalence of drug resistance in tuberculosis patients in Tehran. Int J Tuberc Lung Dis 2000;4(6):544-549.##Katoch VM. Newer diagnostic techniques for tuberculosis. Indian J Med Res 2004;120(4):418-428.##Fusco V, Quero GM. Nucleic acid-based methods to identify, detect and type pathogenic bacteria occurring in milk and dairy products, structure and function of food engineering Ayman Amer Eissa, IntechOpen. DOI: 10.5772/49937. Available from: https://www.intechopen.com/books/structure-and-function-of-food-engineering/nucleic-acid-based-methods-to-identify-detect-and-type-pathogenic-bacteria-occurring-in-milk-and-dai##van der Vliet GM, Schepers P, Schukkink RA, van Gemen B, Klatser PR. Assessment of mycobacterial viability by RNA amplification. Antimicrob Agents Chemother 1994;38(9):1959-1965. ##Jean J, Blais B, Darveau A, Fliss I. Detection of hepatitis A virus by the nucleic acid sequence-based amplification technique and comparison with reverse transcription-PCR. Appl Environ Microbiol 2001;67(12):5593-5600. ##Brink AA, Vervoort MB, Middeldorp JM, Meijer CJ, van den Brule AJ. Nucleic acid sequence-based amplification, a new method for analysis of spliced and unspliced Epstein-Barr virus latent transcripts, and its comparison with reverse transcriptase PCR. J Clin Microbiol 1998;36(11):3164-3169. ##Guatelli JC, Whitfield KM, Kwoh DY, Barringer KJ, Richman DD, Gingeras TR. Isothermal, in vitro amplification of nucleic acids by a multienzyme reaction modeled after retroviral replication. Proc Natl Acad Sci USA 1990;87(5):1874-1878. ##Deiman B, van Aarle P, Sillekens P. Characteristics and applications of nucleic acid sequence-based amplification (NASBA). Mol Biotechnol 2002;20(2):163-179. ##Heim A, Grumbach IM, Zeuke S, Top B. Highly sensitive detection of gene expression of an intronless gene: amplification of mRNA, but not genomic DNA by nucleic acid sequence based amplification (NASBA). Nucleic Acids Res 1998;26(9):2250-2251. ##Oudshoorn P, Klatser PR, inventors; bioMerieux BV assignee. EF-Tu mRNA as a marker for viability of bacteria. United States patent US 6489110B1. 2002 Dec 03. ##Paul S, Laochumroonvorapong P, Kaplan G. Comparable growth of virulent and avirulent Mycobacterium tuberculosis in human macrophages in vitro. J Infect Dis 1996;174(1):105-112. ##Neonakis IK, Gitti Z, Krambovitis E, Spandidos DA. Molecular diagnostic tools in mycobacteriology. J Microbiol Methods 2008;75(1):1-11. ##Pfyffer GE, Palicova F. Mycobacterium: General Characteristics, Laboratory Detection, and Staining Procedures. In: Versalovic J, Carroll KC, Funke G, Jorgensen JH, Landry ML, (eds). Manual of Clinical Microbiology. 10th ed. Washington, D.C.: ASM Press; 2011.##Jacobson GR, Rosenbusch JP. Abundance and membrane association of elongation factor Tu in E. coli. Nature 1976;261(5555):23-26. ##Jean J, Blais B, Darveau A, Fliss I. Rapid detection of human rotavirus using colorimetric nucleic acid sequence-based amplification (NASBA)-enzyme-linked immuno-sorbent assay in sewage treatment effluent. FEMS Microbiol Lett 2002;210(1):143-147. ##Malek L, Sooknanan R, Compton J. Nucleic Acid Sequence-Based Amplification (NASBA™). In: Hilario E, Mackay J, (eds). Protocols for Nucleic Acid Analysis by Nonradioactive Probes. Totowa, NJ: Humana Press; p. 253-260.##Simpkins SA, Chan AB, Hays J, P&#246;pping B, Cook N. An RNA transcription-based amplification technique (NASBA) for the detection of viable Salmonella enterica. Lett Appl Microbiol 2000;30(1):75-79. ##Uyttendaele M, Debevere J, Lindqvist R. Evaluation of buoyant density centrifugation as a sample preparation method for NASBA-ELGA detection of Campylobacter jejuni in foods. Food Microbiol 1999;16(6):575-582.##Nadal A, Coll A, Cook N, Pla M. A molecular beacon-based real time NASBA assay for detection of Listeria monocytogenes in food products: role of target mRNA secondary structure on NASBA design. J Microbiol Methods 2007;68(3):623-632. ##Schultz SJ, Champoux JJ. RNase H activity: structure, specificity, and function in reverse transcription. Virus Res 2008;134(1-2):86-103. ##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Bacteriostatic Potency of Fe2O3 Against Enterococcus faecalis in Synergy with Antibiotics by DDST Method</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: In this study, bacteriostatic potency of the Iron oxide nanoparticles against &lt;em&gt;Enterococcus faecalis (E. faecalis) &lt;/em&gt;(a clinical sample and the ATCC11700 strain) was investigated.&lt;br /&gt;
Methods: Nanoparticles&amp;rsquo; bacteriostatic concentration was determined and used to appraise the characteristics of the Iron Oxide (Fe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;) against the isolates. Antimicrobial examinations with 10&lt;sup&gt;8&lt;/sup&gt;&lt;em&gt;cfu.ml&lt;/em&gt;&lt;sup&gt;-1&lt;/sup&gt; were performed at the baseline. Due to evaluation level of potency, after performing Minimum Inhibitory Concentration (MIC), the assessment of death kinetic and susceptibility constant of nanoparticles was done by suspension at two MICs in 0 to 360 &lt;em&gt;min&lt;/em&gt; treatment time.&lt;br /&gt;
Results: Fe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; nanoparticles in size range of 10-50 &lt;em&gt;nm&lt;/em&gt; demonstrated the most effective susceptibility reaction against &lt;em&gt;E. faecalis&lt;/em&gt; and ATCC11700 strain in Z=78.125 &lt;em&gt;ml/&amp;mu;g&lt;/em&gt;&lt;sup&gt;-1&lt;/sup&gt; and 39.0625 &lt;em&gt;ml/&amp;mu;g&lt;/em&gt;&lt;sup&gt;-1&lt;/sup&gt;, respectively. The kinetic reaction of E. faecalis against Fe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; suspension was supposed to be decreased through the elapse of treatment time, whereas increased concentration was along with bacteria growth after a certain time. So, the efficient concentration of nanoparticles was applied with semi-sensitive and antibiotic resistant for both strains. However, synergism of Fe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; nanoparticles with Ceftazidime and Clindamycin revealed a higher susceptibility compared with Fe2O3 nanoparticles alone against &lt;em&gt;E. faecalis&lt;/em&gt;.&lt;br /&gt;
Conclusion: The experimental results reveal that Fe&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;3 &lt;/sub&gt;has a strong antimicrobial effect at a certain concentration over the time so could potentially be used for bacterial inhibition and this feature will be strengthened in combination with antibiotics.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>176</FPAGE>
            <TPAGE>179</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Erfan</Name>
<MidName></MidName>
<Family>Shahbazi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Microbiology, Shahid Beheshti University</Organization>
</Organizations>
<Universities>
<University>Department of Microbiology, Shahid Beheshti University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Firouzeh</Name>
<MidName></MidName>
<Family>Moreshedzadeh</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Cell and Molecular Biology, University of Tehran</Organization>
</Organizations>
<Universities>
<University>Department of Cell and Molecular Biology, University of Tehran</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Davood</Name>
<MidName></MidName>
<Family>Zaeifi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biology, Tehran North Branch, Islamic Azad University</Organization>
</Organizations>
<Universities>
<University>Department of Biology, Tehran North Branch, Islamic Azad University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>&lt;i&gt;Enterococcus faecalis&lt;/i&gt;</KeyText></KEYWORD><KEYWORD><KeyText>Ferric oxide</KeyText></KEYWORD><KEYWORD><KeyText>Nanopaticles</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10366.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Hasani A, Sharifi Y, Ghotaslou R, Naghili B, Hasani A, Aghazadeh M, et al. Molecular screening of virulence genes in high-level gentamicin-resistant Enterococcus faecalis and Enterococcus faecium isolated from clinical specimens in Northwest Iran. Indian J Med Microbiol 2012;30(2):175-181.##Sadeghifard N, Kazemian H, Mohebi R, Sekawi Z, Khosravi A, Valizadeh N, et al. Epidemiological alteration in pathogens found in ground meat in Iran: unexpected predominance of vancomycin-resistant Enterococcus faecalis. GMS Hyg Infect Control 2015;10:Doc12.##Feizabadi MM, Maleknejad P, Asgharzadeh A, Asadi S, Shokrzadeh L, Sayadi S. Prevalence of aminoglycoside-modifying enzymes genes among isolates of Enterococcus faecalis and Enterococcus faecium in Iran. Microb Drug Resist 2006;12(4):265-268.##Mohammadi F, Ghafourian S, Mohebi R, Taherikalani M, Pakzad I, Valadbeigi H, et al., Enterococcus faecalis as multidrug resistance strains in clinical isolates in Imam Reza Hospital in Kermanshah, Iran. Br J Biomed Sci 2015;72(4):182-184.##Gajan EB, Abashov R, Aghazadeh M, Eslami H, Oskouei SG, Mohammadnejad D. Vancomycin-resistant Enterococcus faecalis from a wastewater treatment plant in Tabriz, Iran. Pak J Biol Sci 2008;11(20):2443-2446.##Sharifi Y, Hasani A, Ghotaslou R, Varshochi M, Hasani A, Aghazadeh M, et al. Survey of virulence determinants among vancomycin resistant enterococcus faecalis and enterococcus faecium isolated from clinical specimens of hospitalized patients of north west of Iran. Open Microbiol J 2012;6:34-39.##Khani M, Fatollahzade M, Pajavand H, Bakhtiari S, Abiri R. Increasing prevalence of aminoglycoside-resistant enterococcus faecalis isolates due to the aac(6&#39;)-aph(2&quot;) gene: a therapeutic problem in Kermanshah, Iran. Jundishapur J Microbiol 2016;9(3):e28923.##Heidari H, Hasanpour S, Ebrahim-Saraie HS, Mota-medifar M. Ebrahim-Saraie. High incidence of virulence factors among clinical enterococcus faecalis isolates in southwestern Iran. Infect Chemother 2017;49(1):51-56.##Feizabadi MM, Asadi S, Zohari M, Gharavi S, Etemadi G. Genetic characterization of high-level gentamicin-resistant strains of Enterococcus faecalis in Iran. Can J Microbiol 2004;50(10):869-872.##Gupta AK, Gupta M. Synthesis and surface engineering of iron oxide nanoparticles for biomedical applications. Biomaterials 2005;26(18):3995-4021.##Wu W, Jiang CZ, Roy VA. Designed synthesis and surface engineering strategies of magnetic iron oxide nanoparticles for biomedical applications. Nanoscale 2016;8(47):19421-19474.##Kohler N, Sun C, Wang J, Zhang M. Methotrexate-modified superparamagnetic nanoparticles and their intracellular uptake into human cancer cells. Langmuir 2005;21(19):8858-8864.##Chertok, B, Moffat BA, David AE, Yu F, Bergemann C, Ross BD, et al. Iron oxide nanoparticles as a drug delivery vehicle for MRI monitored magnetic targeting of brain tumors. Biomaterials 2008;29(4):487-496.##Pareta RA, Taylor E, Webster TJ. Increased osteoblast density in the presence of novel calcium phosphate coated magnetic nanoparticles. Nanotechnology 2008;19(26):265101.##Ortiz de Oru&#233; Lucana D, Wedderhoff I, Groves MR. ROS-mediated signalling in bacteria: zinc-containing cys-x-x-cys redox centres and iron-based oxidative stress. J Signal Transduct 2012;2012:605905.##Cornelis, P, Wei Q, Andrews SC, Vinckx T. Iron homeostasis and management of oxidative stress response in bacteria. Metallomics 2011;3(6):540-549.##Barry AL, Craig WA, Nadler H, Reller LB, Sanders CC, Swenson JM. Methods for determining bactericidal activity of antimicrobial agents: approved guideline. USA: National Committee for Clinical Laboratory Standards; 1999. Vol. 19, No 18.##Food, U. and D. Administration, Division of Anti-infective and Ophthalmology Drug Products (HFD-520)-Microbiological data for antibacterial drug products-development, analysis, and presentation. FDA. 2005.https://www.accessdata.fda.gov/drugsatfda_docs/nda/2005/021821orig1s000micror.pdf.##Fathi Azar Khavarani M, Najafi M, Shakibapour Z, Zaeifi D. kinetics activity of yersinia intermedia against ZnO nanoparticles either synergism antibiotics by double-disc synergy test method. Iran J Biotechnol 2016;14(1):39-44.##Balouiri M, Sadiki M, Ibnsouda SK. Methods for in vitro evaluating antimicrobial activity: A review. J Pharm Anal 2016;6(2):71-79.##Asakawa S, B&#252;nemann E, Frossard E. Microbially Mediated Processes. In: Huang PM, Li Y, Sumner ME, editors. Handbook of Soil Sciences. Boca Raton, Florida: CRC Press; 2011. p. 1-52.##Limbach LK, Wick P, Manser P, Grass RN, Bruinink A, Stark WJ. Exposure of engineered nanoparticles to human lung epithelial cells:  influence of chemical composition and catalytic activity on oxidative stress. Environ Sci Technol 2007;41(11):4158-4163.##Wu B, Huang R, Sahu M, Feng X, Biswas P, Tang YJ. Bacterial responses to Cu-doped TiO2 nanoparticles. Sci Total Environ 2010;408(7):1755-1758.##Ruparelia JP, Chatterjee AK, Duttagupta SP, Mukherji S. Strain specificity in antimicrobial activity of silver and copper nanoparticles. Acta Biomater 2008;4(3):707-716.##Yoon KY, Hoon Byeon J, Park JH, Hwang J. Susceptibility constants of Escherichia coli and Bacillus subtilis to silver and copper nanoparticles. Sci Total Environ 2007;373(2-3):572-575.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Immunogenicity of Cork and Loop Domains of Recombinant Baumannii acinetobactin Utilization Protein in Murine Model</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: &lt;em&gt;Acinetobacter baumannii (A. baumannii) &lt;/em&gt;is a bothersome fatal patho-gen, particularly in healthcare system. Persistence and successful invasion of &lt;em&gt;A. baumannii &lt;/em&gt;in vertebrate host cells largely depends on iron acquisition methods. Sidero-phore molecules and Iron-Regulated Outer Membrane Proteins (IROMPs) are the two essential members of iron acquisition system. Siderophores are secreted by bacteria to bind peripheral ferric iron and the IROMPs are expressed at the bacterial outer membrane as the receptor of ferric-siderophore complex. BauA is the corresponding siderophore receptor of &lt;em&gt;A. baumannii&lt;/em&gt;. In this study, an attempt was made to assess the immunogenicity of antigenic domains of BauA which could be effective in iron uptake restriction and protection against bacterial invasion of the host cells.&amp;nbsp;&lt;br /&gt;
Methods: The antigenic domains of &lt;em&gt;bauA&lt;/em&gt; were amplified from &lt;em&gt;A. baumannii &lt;/em&gt;ATCC-19606. The PCR products were ligated into pET32a and expressed in&lt;em&gt; Escherichia coli (E. coli)&lt;/em&gt; BL21 (DE3). Purification of recombinant domains was done by Nickel-Nitri-lotriacetic Acid (Ni-NTA) affinity chromatography. The recombinant domains were injected into BALB/C mice separately and in combination. Sero-reactivities of the recombinant proteins and mouse challenge tests were carried out.&amp;nbsp;&lt;br /&gt;
Results: The antibodies raised in mice could successfully recognize and bind antigenic domains. Passive immunization studies accomplished by immune rabbit serum inhibited the establishment of infection in mice.&lt;br /&gt;
Conclusion: The results adapted from the present study disclose the protective role of functional domains of BauA, especially the cork domain, suggesting a novel recombinant immunogen candidate.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>180</FPAGE>
            <TPAGE>186</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Hamid</Name>
<MidName></MidName>
<Family>Esmaeilkhani</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biology, Shahed UniversityMolecular Microbiology Research Center, Shahed University</Organization>
</Organizations>
<Universities>
<University>Department of Biology, Shahed UniversityMolecular Microbiology Research Center, Shahed University</University>
</Universities>
<Countries>
<Country>IranIran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Iraj</Name>
<MidName></MidName>
<Family>Rasooli</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biology, Shahed UniversityMolecular Microbiology Research Center, Shahed University</Organization>
</Organizations>
<Universities>
<University>Department of Biology, Shahed UniversityMolecular Microbiology Research Center, Shahed University</University>
</Universities>
<Countries>
<Country>IranIran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Masoomeh</Name>
<MidName></MidName>
<Family>Hashemi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biology, Shahed University</Organization>
</Organizations>
<Universities>
<University>Department of Biology, Shahed University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Shahram</Name>
<MidName></MidName>
<Family>Nazarian</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Biology, College of Basic Sciences, Imam Hussein University</Organization>
</Organizations>
<Universities>
<University>Department of Biology, College of Basic Sciences, Imam Hussein University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Fatemeh</Name>
<MidName></MidName>
<Family>Sefid</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Departeman of Biology, Science and Art University</Organization>
</Organizations>
<Universities>
<University>Departeman of Biology, Science and Art University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>&lt;i&gt;Acinetobackr baumannii&lt;/i&gt;</KeyText></KEYWORD><KEYWORD><KeyText>Immune sera</KeyText></KEYWORD><KEYWORD><KeyText>Iron</KeyText></KEYWORD><KEYWORD><KeyText>Siderophore</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10367.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Vergidis P, Falagas ME. Control of Multi-Drug Resistant Acinetobacter Infections. In: Antibiotic Policies, Edition. Springer, 2012, p. 117-125.##Camp C, Tatum OL. A review of Acinetobacter baumanniias a highly successful pathogen in times of war. Lab Med 2015;41(11):649-657.##Garc&#237;a-Quintanilla M, Pulido MR, L&#243;pez-Rojas R, Pach&#243;n R, McConnell MJ. Emerging therapies for multidrug resistant Acinetobacter baumannii. Trend Microbiol 2013;21(3):157-163.##Dexter C, Murray GL, Paulsen IT, Peleg AY. Community-acquired Acinetobacter baumannii: clinical characteristics, epidemiology and pathogenesis. Expert Rev Anti Infect Ther 2015;13(5):567-573.##De Bonis P, Lofrese G, Scoppettuolo G, Spanu T, Cultrera R, Labonia M,et al. Intraventricular versus intravenous colistin for the treatment of extensively drug resistant Acinetobacter baumannii meningitis. Eur J Neurol 2016;23(1):68-75.##Hsu LY, Apisarnthanarak A, Khan E, Suwantarat N, Ghafur A, Tambyah PA. Carbapenem-resistant Acinetobacter baumannii and Enterobacteriaceae in South and Southeast Asia. Clin Microbiol Rev 2017;30(1):1-22.##Mosqueda N, Espinal P, Cosgaya C, Viota S, Plasensia V, Alvarez-Lerma F, et al. Globally expanding carbapenemase finally appears in Spain: nosocomial outbreak of Acinetobacter baumannii producing plasmid-encoded OXA-23 in Barcelona, Spain. Antimicrob Agents Chemother 2013;57(10):5155-5157.##Romanelli RM, Jesus LA, Clemente WT, Lima SS, Rezende EM, Coutinho RL, et al. Outbreak of resistant Acinetobacter baumannii: measures and proposal for prevention and control. Braz J Infect Dis 2009;13(5):341-347.##Farshadzadeh Z, Hashemi FB, Rahimi S, Pourakbari B, Esmaeili D, Haghighi MA, et al. Wide distribution of carbapenem resistant Acinetobacter baumannii in burns patients in Iran. Front Microbiol 2015;6:1146.##Fern&#225;ndez-Cuenca F, Mart&#237;nez-Mart&#237;nez L, Conejo MC, Ayala JA, Perea EJ, Pascual A. Relationship between beta-lactamase production, outer membrane protein and penicillin-binding protein profiles on the activity of carbapenems against clinical isolates Acinetobacter baumannii. J Antimicrob Chemother 2003;51(3):565-574.##Zarrilli R, Pournaras S, Giannouli, Tsakris A. Global evolution of multidrug-resistant Acinetobacter baumannii clonal lineages. Int J Antimicrob Agents 2013;41(1):11-19.##Gaddy JA, Arivett BA, McConnell MJ, L&#243;pez-Rojas R, Pach&#243;n J, Actis LA. Role of acinetobactn-mediated iron acquisition functions in the interaction of Acinetobacter baumannii strain ATCC 19606T with human lung epithelial cells, Galleria mellonella caterpillars, and mice. Infect Immun 2012;80(3):1015-1024.##Abu Kwaik Y, Bumann D. Microbial quest for food in vivo:‘nutritional virulence’as an emerging paradigm. Cell Microbiol 2013;15(6):882-890.##Olive AJ, Sassetti CM. Metabolic crosstalk between host and pathogen: sensing, adapting and competing. Nature Rev Microbiol 2016;14(4):221-234.##Takahashi A, Yomoda S, Kobayashi I, Okubo T, Tsunoda M, Iyobe S. Detection of carbapenemase-producing acinetobacter baumannii in a hospital. J Clin Microbiol 2000;38(2):526-529.##Wuest WM, Sattely ES, Walsh CT. Three siderophores from one bacterial enzymatic assembly line. J Am Chem Soc 2009;131(14):5056-5057.##Shapiro JA, Wencewicz TA. Acinetobactin isomerization enables adaptive iron acquisition in Acinetobacter baumannii through pH-triggered siderophore swapping. ACS Infect Dis 2015;2(2):157-168.##Zimbler DL, Penwell WF, Gaddy JA, Menke SM, Tomaras AP, Connerly PL. Iron acquisition functions expressed by the human pathogen Acinetobacter baumannii. Biometals 2009;22(1):23-32.##Song WY, Jeong D, Kim J, Lee MW, Oh MH, Kim HJ. Key structural elements for cellular uptake of Acinetobactin, a major siderophore of Acinetobacter baumannii. Org Lett 2017;19(3):500-503.##Sefid F, Rasooli I, Jahangiri A. In silico determination and validation of baumannii acinetobactin utilization a structure and ligand binding site. Biomed Res Int 2013;2013:17284.##Nwugo CC, Gaddy JA, Zimbler DL, Actis LA. Deciphering the iron response in Acinetobacter baumannii: a proteomics approach. J Proteomics 2011;74(1):44-58.##Goel VK, Kapil A. Monoclonal antibodies against the iron regulated outer membrane proteins of Acinetobacter baumannii are bactericidal. BMC Microbiol 2001;1:16.##Sefid F, Rasooli I, Jahangiri A, Bazmara H. Functional exposed amino acids of BauA as potential immunogen against Acinetobacter baumannii. Acta Biotheor 2015;63(2):129-149.##Krewulak KD, Vogel HJ. Structural biology of bacterial iron uptake. Biochim Biophys Acta 2008;1778(9):1781-1804.##Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem 1976;72:248-254.##Lobaina Y, Trujillo H, Garc&#237;a D, Gambe A, Chacon Y, Blanco A, et al. The effect of the parenteral route of administration on the immune response to simultaneous nasal and parenteral immunizations using a new HBV therapeutic vaccine candidate. Viral Immunol 2010;23(5):521-529.##William LA, Larry KP, Benjamin S, Bruce GW, John KI, John CW. General recommendations on immunization. Morbidity and Mortality Weekly Report (MMWR) 2002; 51(RR02):1-36.##Kumar VS, Gautam V, Balakrishna K, Kumar S. Overexpression, purification, and immunogenicity of recombinant porin proteins of Salmonella enterica Serovar Typhi (S. Typhi). J Microbiol Biotechnol 2009;19(9):1034-1040.##Malickbasha M, Arunachalam R, Senthilkumar B, Rajasekarapandian M, Annadurai G. Effect of ompR gene mutation in expression of ompC and ompF of Salmonella typhi. Interdiscip Sci 2010;2(2):157-162.##Baghal SM, Gargari SL, Rasooli I. Production and immunogenicity of recombinant ferric enterobactin protein (FepA). Int J Infect Dis 2010;14 Suppl 3:e166-170.##Esmaeilkhani H, Rasooli I, Nazarian S, Sefid F. In vivo validation of the immunogenicity of recombinant baumannii acinetobactin utilization a protein (rBauA). Microb Pathog 2016;98:77-81.##Fattahian Y, Rasooli I, Mousavi Gargari SL, Rahbar MR, Darvish Alipour Astaneh S, Amani J. Protection against Acinetobacter baumannii infection via its functional deprivation of biofilm associated protein (Bap). Microb Pathog 2011;51(6):402-406.##Toobak H, Rasooli I, Talei D, Jahangiri A, Owlia P, Darvish Alipour Astaneh S. Immune response variations to Salmonella enterica serovar Typhi recombinant porin proteins in mice. Biologicals 2013;41(4):224-230.##Rahbar MR, Rasooli I, Mousavi Gargari SL, Amani J, Fattahian Y. In silico analysis of antibody triggering biofilm associated protein in Acinetobacter baumannii. J Theor Biol 2010;266(2):275-290.##Sangroodi YH, Rasooli I, Nazarian S, Ebrahimizadeh W, Sefid F. Immunogenicity of conserved cork and &#223;-barrel domains of baumannii acinetobactin utilization protein in an animal model. Turk J Med Sci 2015;45(6):1396-1402.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Single Nucleotide Polymorphism of TYK2 Gene and Susceptibility to Rheumatoid Arthritis in Iranian Population</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: Rheumatoid Arthritis (RA) is a debilitating disorder in which the immune system mainly targets the synovial tissue. Janus kinase family including tyrosine kinase 2 (TYK2) is one of the crucial mediators of the downstream signaling pathway of inflammatory cytokines that further contributes to RA pathogenesis. In this study, the association of &lt;em&gt;TYK2&lt;/em&gt; gene rs34536443 polymorphism, which may affect the function of TYK protein and, hence, the inflammatory settings, with RA susceptibility was investigated. Moreover, its correlation with demographic and serological features of the patients was assessed.&amp;nbsp;&lt;br /&gt;
Methods: In the present study, 700 RA patients and 700 sex, age and ethnicity-matched healthy individuals as the control group were included. MGB TaqMan real-time allelic discrimination method was used to determine the rs34536443 polymorphism. Rheumatoid factor, anti-cyclic citrullinated peptide antibody, erythrocyte sedimentation rate and C-reactive protein were also measured.&lt;br /&gt;
Results: The frequency of rs34536443 minor allele (C allele) was not different between patients and control group [1.7 &lt;em&gt;vs&lt;/em&gt;. 2.61 percent, OR (95% CI)=1.35 (0.78-2.33);p=0.27]. There was not a statistically significant association between rs34536443 genotypes and RA susceptibility. Genotypes of rs34536443 polymorphism were associated nor with demographic neither with serological features of RA patients.&amp;nbsp;&lt;br /&gt;
Conclusion: In the present study, there was not any association between &lt;em&gt;TYK2&lt;/em&gt; gene rs34536443 polymorphism with either disease susceptibility, demographic and serological features of Iranian RA patients. These findings are not compatible with previous works from other ethnicities, further supporting the role of genetics in disease susceptibility.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>187</FPAGE>
            <TPAGE>191</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Azadeh</Name>
<MidName></MidName>
<Family>Mohamadhosseini</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Immunology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Immunology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Reza</Name>
<MidName></MidName>
<Family>Mansouri</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Immunology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Department of Immunology, Faculty of Medicine, Shahid Sadoughi University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Ali</Name>
<MidName></MidName>
<Family>Javinani</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Amir</Name>
<MidName></MidName>
<Family>Ashraf-Ganjouei</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Massoumeh</Name>
<MidName></MidName>
<Family>Akhlaghi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Saeed</Name>
<MidName></MidName>
<Family>Aslani</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Elham</Name>
<MidName></MidName>
<Family>Hamzeh</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Ahmadreza</Name>
<MidName></MidName>
<Family>Jamshidi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Nooshin</Name>
<MidName></MidName>
<Family>Ahmadzadeh</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Mahdi</Name>
<MidName></MidName>
<Family>Mahmoudi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Rheumatology Research Center, Tehran University of Medical Sciences</Organization>
</Organizations>
<Universities>
<University>Rheumatology Research Center, Tehran University of Medical Sciences</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Rheumatoid arthritis</KeyText></KEYWORD><KEYWORD><KeyText>Single-nucleotide polymorphism</KeyText></KEYWORD><KEYWORD><KeyText>TYK2 kinase</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10374.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Grassi W, De Angelis R, Lamanna G, Cervini C. The clinical features of rheumatoid arthritis. Eur J Radiol 1998;27(Suppl 1):S18-24.##Rudan I, Sidhu S, Papana A, Meng SJ, Xin-Wei Y, Wang W, et al. Prevalence of rheumatoid arthritis in low- and middle-income countries: A systematic review and analysis. J Glob Health 2015;5(1):010409.##Cross M, Smith E, Hoy D, Carmona L, Wolfe F, Vos T, et al. The global burden of rheumatoid arthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis 2014;73(7):1316-1322.##Choy E. Understanding the dynamics: pathways involved in the pathogenesis of rheumatoid arthritis. Rheumatology (Oxford) 2012;51(Suppl 5):v3-11.##Schwartz DM, Kanno Y, Villarino A, Ward M, Gadina M, O&#39;Shea JJ. JAK inhibition as a therapeutic strategy for immune and inflammatory diseases. Nat Rev Drug Discov 2017;16(12):843-862.##Yamaoka K, Saharinen P, Pesu M, Holt VET, Silvennoinen O, O&#39;Shea JJ. The Janus kinases (Jaks). Genome Biol 2004;5(12):253.##Krolewski JJ, Lee R, Eddy R, Shows TB, Dalla-Favera R. Identification and chromosomal mapping of new human tyrosine kinase genes. Oncogene 1990;5(3):277-282.##Eyre S, Bowes J, Diogo D, Lee A, Barton A, Martin P, et al. High density genetic mapping identifies new susceptibility loci for rheumatoid arthritis. Nat Genet 2012;44(12):1336-1340.##Lee YH, Choi SJ, Ji JD, Song GG. Associations between PXK and TYK2 polymorphisms and systemic lupus erythematosus: a meta-analysis. Inflamm Res 2012;61(9):949-954.##Lopez-Isac E, Campillo-Davo D, Bossini-Castillo L, Guerra SG, Assassi S, Simeon CP, et al. Influence of TYK2 in systemic sclerosis susceptibility: a new locus in the IL-12 pathway. Ann Rheum Dis 2016;75(8):1521-1526. ##Sato K, Shiota M, Fukuda S, Iwamoto E, Machida H, Inamine T, et al. Strong evidence of a combination polymorphism of the tyrosine kinase 2 gene and the signal transducer and activator of transcription 3 gene as a DNA-based biomarker for susceptibility to Crohn’s disease in the Japanese population. J Clin Immunol 2009;29(6):815-825.##Ban M, Goris A, Lorentzen &#197;R, Baker A, Mihalova T, Ingram G, et al. Replication analysis identifies TYK2 as a multiple sclerosis susceptibility factor. Eur J Hum Genet 2009;17(10):1309-1313.##Kay J, Upchurch KS. ACR/EULAR 2010 rheumatoid arthritis classification criteria. Rheumatology 2012;51(Suppl_6):vi5-vi9.##Kochl S, Niederstatter H, Parson W. DNA extraction and quantitation of forensic samples using the phenol-chloroform method and real-time PCR. Methods Mol Biol 2005;297:13-30.##Tao JH, Zou YF, Feng XL, Li J, Wang F, Pan FM, Ye DQ. Meta-analysis of TYK2 gene polymorphisms association with susceptibility to autoimmune and inflammatory diseases. Mol Biol Rep 2011;38(7):4663-4672.##Diogo D, Bastarache L, Liao KP, Graham RR, Fulton RS, Greenberg JD, et al. TYK2 protein-coding variants protect against rheumatoid arthritis and autoimmunity, with no evidence of major pleiotropic effects on non-autoimmune complex traits. PLoS One 2015;10(4):e0122271.##Hinks A, Cobb J, Marion MC, Prahalad S, Sudman M, Bowes J, et al. Dense genotyping of immune-related disease regions identifies 14 new susceptibility loci for juvenile idiopathic arthritis. Nat Genet 2013;45(6):664-669.##Zervou MI, Dimopoulou DG, Eliopoulos E, Trachana M, Pratsidou-Gkertsi P, Andreou A, et al. Τhe genetics of juvenile idiopathic arthritis: Searching for new susceptibility loci. Mol Med Rep 2017;16(6):8793-8798.##Myrthianou E, Zervou MI, Budu-Aggrey A, Eliopoulos E, Kardassis D, Boumpas DT, et al. Investigation of the genetic overlap between rheumatoid arthritis and psoriatic arthritis in a Greek population. Scand J Rheumatol 2017;46(3):180-186.##Couturier N, Bucciarelli F, Nurtdinov RN, Debouverie M, Lebrun-Frenay C, Defer G, et al. Tyrosine kinase 2 variant influences T lymphocyte polarization and multiple sclerosis susceptibility. Brain 2011;134(3):693-703.##Smolen JS, Aletaha D, Redlich K. The pathogenesis of rheumatoid arthritis: new insights from old clinical data? Nat Rev Rheumatol 2012;8(4):235-243. ##Lazzari E, Jefferies CA. IRF5-mediated signaling and implications for SLE. Clin Immunol 2014;153(2):343-352. ##Cohen SB, Tanaka Y, Mariette X, Curtis JR, Lee EB, Nash P, et al. Long-term safety of tofacitinib for the treatment of rheumatoid arthritis up to 8.5 years: integrated analysis of data from the global clinical trials. Annals of the Rheumatic Diseases Published Online First: 31 January 2017.##Cutolo M. The kinase inhibitor tofacitinib in patients with rheumatoid arthritis: latest findings and clinical potential. Ther Adv Musculoskelet Dis 2013;5(1):3-11. ##Cutolo M, Meroni M. Clinical utility of the oral JAK inhibitor tofacitinib in the treatment of rheumatoid arthritis. J Inflamm Res 2013;6:129-137. ##Catlett I, Aras U, Liu Y, Bei D, Girgis I, Murthy B, et al. SAT0226 A first-in-human, study of BMS-986165, a selective, potent, allosteric small molecule inhibitor of tyrosine kinase 2. Annals Rheumatic Dis 2017;76(Suppl 2):859.##Gillooly K, Zhang Y, YangX, Zupa-Fernandez A, Cheng L, Strnad J, et al. BMS-986165 is a highly potent and selective allosteric inhibitor of Tyk2, blocks IL-12, IL-23 and type I interferon signaling and provides for robust efficacy in preclinical models of systemic lupus erythematosus and inflammatory bowel disease [abstract]. Arthritis Rheumatol 2016;68(suppl 10). ##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Antibiotic Susceptibility Patterns and Prevalence of Some Extended Spectrum  Beta-Lactamases Genes in Gram-Negative Bacteria Isolated from Patients Infected with Urinary Tract Infections in Al-Najaf City, Iraq </TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: Urinary Tract Infection (UTI) in patients with Chronic Kidney Disease (CKD) caused by multi-drug resistance and Extended Spectrum Beta Lactamase (ESBL)-producing gram-negative bacteria has been increased in different countries. The aim of the present study was to detect the antibiotic susceptibility patterns and the distribution of &lt;em&gt;Bla-TEM, Bla-SHV &lt;/em&gt;and&lt;em&gt; Bla-CTX-M&lt;/em&gt; genes in gram-negative bacteria isolated from outpatients infected with UTI, with and without CKD in Al-Najaf city, Iraq.&amp;nbsp;&lt;br /&gt;
Methods: A total of 120 non-duplicate urine samples were collected from outpatients (37 male and 83 female) infected with UTI in Al-Najaf city, Iraq; 60 samples from patients Without Kidney Disease (WKD) and 60 samples from patients with CKD. The antibiotic susceptibility testing was done according to Kirby-Bauer method. PCR technique was performed to investigate the prevalence of &lt;em&gt;Bla-TEM&lt;/em&gt;, &lt;em&gt;Bla-SHV&lt;/em&gt; and&lt;em&gt; Bla-CTX-M &lt;/em&gt;genes.&lt;br /&gt;
Results: A total of 126 different gram-negative bacterial strains were isolated. &lt;em&gt;Escherichia coli (E. coli)&lt;/em&gt; was the most prevalent bacterium (49 isolates) followed by &lt;em&gt;Idebsiella pneumonia (K. pneumonia) &lt;/em&gt;(35 isolates), &lt;em&gt;Pseudomonas aeruginosa (P. aeruginosa)&lt;/em&gt; (18 isolates), &lt;em&gt;Citrobacter freundii (C. freundii) &lt;/em&gt;(12 isolates), &lt;em&gt;Enterobocter aerogenes (E. aerogenes)&lt;/em&gt; (8 isolates) and &lt;em&gt;Proteus mirabilis (P. mirabilis)&lt;/em&gt; (4 isolates). All bacterial isolates from UTI patients with CKD were resistant to antibiotics and carried &lt;em&gt;Bla-TEM&lt;/em&gt;, &lt;em&gt;Bla-SHV &lt;/em&gt;and &lt;em&gt;Bla-CTX-M&lt;/em&gt; genes more than isolates from UTI patients with WKD.&lt;br /&gt;
Conclusion: This study demonstrated that all bacterial isolates from UTI patients with CKD were more virulent than isolates from UTI patients with WKD.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>192</FPAGE>
            <TPAGE>201</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Heba Takleef</Name>
<MidName></MidName>
<Family>Majeed</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Microbiology, Faculty of Science, University of Kufa</Organization>
</Organizations>
<Universities>
<University>Department of Microbiology, Faculty of Science, University of Kufa</University>
</Universities>
<Countries>
<Country>Iraq</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Ahmed Abduljabbar</Name>
<MidName></MidName>
<Family>Jaloob Aljanaby</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Microbiology, Faculty of Science, University of Kufa</Organization>
</Organizations>
<Universities>
<University>Department of Microbiology, Faculty of Science, University of Kufa</University>
</Universities>
<Countries>
<Country>Iraq</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>Iraq</KeyText></KEYWORD><KEYWORD><KeyText>Chronic kidney disease</KeyText></KEYWORD><KEYWORD><KeyText>SHV</KeyText></KEYWORD><KEYWORD><KeyText>TEM</KeyText></KEYWORD><KEYWORD><KeyText>Urinary tract infection</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10364.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
            <REF>Naderi A, Kasra-Kermanshahi R, Gharavi S, Imani Fooladi AA, Abdollahpour Alitappeh M, Saffarian P. Study of antagonistic effects of Lactobacillus strains as probiotics on multi drug resistant (MDR) bacteria isolated from urinary tract infections (UTIs). Iran J Basic Med Sci 2014;17(3):201-208.##Aljanaby AAJ, Alhasnawi HMRJ. Phenotypic and molecular characterization of multidrug resistant Klebsiella pneumoniae isolated from different clinical sources in Al-Najaf province-Iraq. Pak J Biol Sci 2017;20(5):217-232.##Bogdanova-Mihaylova P, Burke D, O&#39;Dwyer JP, Bradley D, Williams JA, Cronin SJ, et al. Aciclovir-induced acute kidney injury in patients with &#39;suspected viral encephalitis&#39; encountered on a liaison neurology service. Ir J Med Sci 2018;187(3):777-780.##Espinar MJ, Miranda IM, Costa-de-Oliveira S, Rocha R, Rodrigues AG, Pina-Vaz C. Urinary tract infections in Kidney transplant patients due to Escherichia coli and Klebsiella pneumoniae-producing extended-spectrum β-Lactamases: risk factors and molecular epidemiology. PLoS One 2015;10(8):e0134737.##Mazzariol A, Bazaj A, Cornaglia G. Multi-drug-resistant Gram-negative bacteria causing urinary tract infections: a review. J Chemother 2017;29(sup1):2-9.##Nigussie D, Amsalu A. Prevalence of uropathogen and their antibiotic resistance pattern among diabetic patients. Turk J Urol 2017;43(1):85-92.##Aljanaby AAJ, Medhat AR. Prevalence of some antimicrobials resistance associated-genes in Salmonella typhi isolated from patients infected with Typhoid Fever. J Biol Sci 2017;17(4):171-184.##Bakhshi B, Dehghan-Mouriaabadi A, Kiani P. Heterogeneity of multidrug-resistant Salmonella enterica isolates with increasing frequency of resistance to Ciprofloxacin during a 4-year period in Iran. Microb Drug Resist 2018;24(4):479-488. ##Afema JA, Ahmed S, Besser TE, Jones LP, Sischo WM, Davis MA. Molecular epidemiology of dairy cattle-associated Escherichia coli carrying blaCTX-M genes in Washington State. Appl Environ Microbiol 2018;84(6). pii: e02430-17.##Yang B, Yang F, Wang S, Wang Q, Liu Z, Feng W, et al. Analysis of the spectrum and antibiotic resistance of uropathogens in outpatients at a tertiary hospital. J Chemother 2018;30(3):145-149.##Jorgensen S, Zurayk M, Yeung S, Terry J, Dunn M, Nieberg P, et al. Risk factors for early return visits to the emergency department in patients with urinary tract infection. Am J Emerg Med 2018;36(1):12-17.##Niumsup PR, Tansawai U, Na-Udom A, Jantapalaboon D, Assawatheptawee K, Kiddee A, et al. Prevalence and risk factors for intestinal carriage of CTX-M-type ESBLs in Enterobacteriaceae from a Thai community. Eur J Clin Microbiol Infect Dis 2018;37(1):69-75.##Moghaddam MN, Beidokhti MH, Jamehdar SA, Ghahraman M. Genetic properties of blaCTX-M and blaPER β-lactamase genes in clinical isolates of Enterobacteriaceae by polymerase chain reaction. Iran J Basic Med Sci 2014;17(5):378-383.##Bonnet R. Growing group of extended-spectrum beta-lactamases: the CTX-M enzymes. Antimicrob Agents Chemother 2004;48(1):1-14.##Sobouti B, Khosravi N, Daneshvar A, Fallah S, Moradi M, Ghavami Y. Prevalence of beta lactamase producing species of pseudomonas and acinetobacter in pediatric burn patients. Ann Burns Fire Disasters 2015;28(3):171-177.##Abdi S. Frequency of bla TEM, bla SHV, bla CTX-M, and qnrA among Escherichia coli isolated from urinary tract infection. Arch Clin Infect Dis 2014;12:9(1):1-5.##Jena J, Debata NK, Sahoo RK, Gaur M, Subudhi E. Molecular characterization of extended spectrum β-lactamase-producing Enterobacteriaceae strains isolated from a tertiary care hospital. Microb Pathog 2018;115:112-116.##Topaloglu R, Er I, Dogan BG, Bilginer Y, Ozaltin F, Besbas N, et al.  Risk factors in community-acquired urinary tract infections caused by ESBL-producing bacteria in children. Pediatr Nephrol 2010;25(5):919-925.##Goudarzi M, Azad M, Seyedjavadi SS. Prevalence of Plasmid-Mediated quinolone resistance determinants and OqxAB Efflux Pumps among Extended-Spectrum β-Lactamase producing Klebsiella pneumoniae isolated from patients with Nosocomial Urinary tract infection in Tehran, Iran. Scientifica (Cairo) 2015;2015:518167.##Jena J, Sahoo RK, Debata NK, Subudhi E. Prevalence of TEM, SHV, and CTX-M genes of extended-spectrum β-lactamase-producing Escherichia coli strains isolated from urinary tract infections in adults. 3 Biotech 2017;7(4):244.##MacFaddin JF. Biochemical Tests for Identification of Medical Bacteria, 3rd ed. Philadelphia: Williams and Wilkins; 200. 912 p.##Tan CK, Ulett KB, Steele M, Benjamin WH Jr, Ulett GC. Prognostic value of semi-quantitative bacteruria counts in the diagnosis of group B streptococcus urinary tract infection: a 4-year retrospective study in adult patients. BMC Infect Dis 2012;12:273.##Bauer AW, Kirby WM, Sherris JC, Turck M. Antibiotic suscep&#172;tibility testing by standard single disc method. Am J Clin Pathol 1966;45:493-6.##Clinical and Laboratory Standards Institute (CLSI), 2016. Performance Standards for Antimicrobial Susceptibility Testing; 26 ed. Informational Supplement. PA, USA 32(3).##Clinical and Laboratory Standards Institute CLSI, 2006. &quot;Performance standards for antimicrobial susceptibility testing&quot;, in Proceedings of the 16th International Supplement (M100-S16), National Committee for Clinical Laboratory Standards, Wayne, Pa, USA, 26(1): 35 pages.##Sarojamma V, Ramakrishna V. Prevalence of ESBL-producing Klebsiella pneumoniae isolates in tertiary care hospital. ISRN Microbiol 2011;2011:318348.##Ensor VM, Jamal W, Rotimi VO, Evans JT, Hawkey PM. Predominance of CTX-M-15 extended spectrum β-lactamases in diverse Escherichia coli and Klebsiella pneumoniae from hospital and community patients in Kuwait. Int J Antimicrob Agents 2009;33(5):487-489.##Zhang QL, Koenig W, Raum E, Stegmaier C, Brenner H, Rothenbacher D. Epidemiology of chronic kidney disease: results from a population of older adults in Germany. Prev Med 2009;48(2):122-127.##Hsiao CY, Lin HL, Lin YK, Chen CW, Cheng YC, Lee WC, et al. Urinary tract infection in patients with chronic kidney disease. Turk J Med Sci 2014;44(1):145-149.##Aljanaby AA, Gafil FA. Effect of different antibiotics on aerobic pathogenic bacteria and urinary tract infection in Al-Manathera City, Iraq: a comparative study. Res Chem Intermed 2013;39(8):3679-3687.##Shahcheraghi F, Nasiri S, Noveiri H. The survey of genes encoding beta-lactamases, in Escherichia coli resistant to beta-lactam and non-beta-lactam antibiotics. Iran J Basic Med Sci 2010;13(1):230-237. ##Skowron B, Baranowska A, Kaszuba-Zwoińska J, Więcek G, Malska-Woźniak A, Heczko P, et al. Experimental model for acute kidney injury caused by uropathogenic Escherichia coli. Postepy Hig Med Dosw (Online) 2017;71(0):520-529.##Fliser D, Laville M, Covic A, Fouque D, Vanholder R, Juillard L, et al. A European renal best practice (ERBP) position statement on the kidney disease improving global outcomes (KDIGO) clinical practice guidelines on acute kidney injury: part 1: definitions, conservative management and contrast-induced nephropathy. Nephrol Dial Transplant 2012;27(12):4263-4272.##Pinheiro HS, Mituiassu AM, Carminatti M, Braga AM, Bastos MG. Urinary tract infection caused by extended-spectrum beta-lactamase-producing bacteria in kidney transplant patients. Transplant Proc 2010;42(2):486-487. ##Mitra S, Alangaden GJ. Recurrent urinary tract infections in kidney transplant recipients. Curr Infect Dis Rep 2011; 13(6):579-587.##Hsiao CY, Yang HY, Hsiao MC, Hung PH, Wang MC. Risk factors for development of acute kidney injury in patients with urinary tract infection. PLoS One 2015;10 (7):e0133835.##Jones SR. Acute renal failure in adults with uncomplicated acute pyelonephritis reports and review. Clin Infect Dis 1992;14(1):243-246.##F&#252;nfst&#252;ck R, Ott U, Naber KG. The interaction of urinary tract infection and renal insufficiency. Int J Antimicrob Agents 2006;28 Suppl 1:S72-77.##Gilbert DN. Urinary tract infections in patients with chronic renal insufficiency. Clin J Am Soc Nephrol 2006;1(2):327-331.##Bien J, Sokolova O, Bozko P. Role of uropathogenic Escherichia coli virulence factors in development of uri nary tract infection and kidney damage. Int J Nephrol 2012;2012:681473.##Nicolle LE. Urinary tract infection in geriatric and institutionalized patients. Curr Opin Urol 2002;12(1):51-55.##Gupta K, Hooton TM, Naber KG, Wullt B, Colgan R, Miller LG, et al. International clinical practice guidelines for the treatment of acute uncomplicated cystitis and pyelonephritis in women: a 2010 update by the infectious diseases society of America and the European society for microbiology and infectious diseases. Clin Infect Dis 2011;52(5):e103-120.##Flores-Mireles AL, Walker JN, Caparon M, Hultgren SJ. Urinary tract infections: epidemiology, mechanisms of infection and treatment options. Nat Rev Microbiol 2015;13(5):269-284.##Mazzariol A, Bazaj A, Cornaglia G. Multi-drug-resistant Gram-negative bacteria causing urinary tract infections: a review. J Chemother 2017;9(sup1):2-9.##Peleg AY, Hooper DC. Hospital-acquired infections due to Gram negative bacteria. N Engl J Med 2010;362(19): 1804-1813.##Sarikhani Z, Nazari R, Nateghi Rostami M. First report of OXA-143-lactamase producing Acinetobacter baumannii in Qom, Iran. Iran J Basic Med Sci 2017; 20(11):1282-1286.##Bradford PA. Extended-spectrum β-lactamases in the 21st century: characterization, epidemiology, and detection of this important resistance threat. Clin Microbiol Rev 2001;14(4):933-951.##Jacoby GA, Medeiros AA. More extended-spectrum β-lactamases. Antimicrob Agents Chemother 1991;35(9): 1697-1704.##Bush K, Jacoby GA, Medeiros AA. A functional classification scheme for β-lactamases and its correlation with molecular structure. Antimicrob Agents Chemother 1995;39(6):1211-1233.##Walther-Rasmussen J, H&#248;iby N. Cefotaximases (CTX-M-ases), an expanding family of extended-spectrum β -lactamases. Can J Microbiol 2004;50(3):137-165.##Livermore DM. Multiple mechanisms of antimicrobial resistance in Pseudomonas aeruginosa: our worst nightmare? Clin Infect Dis 2002;34(5):634-640.##Subedi D, Vijay AK, Willcox M. Overview of mechanisms of antibiotic resistance in Pseudomonas aeruginosa: an ocular perspective. Clin Exp Optom 2018;101(2):162-171.##Aljanaby AAJ, Aljanaby IAJ. Profile of antimicrobial resistance of aerobic pathogenic bacteria isolated from different clinical infections in Al-Kufa central hospital-Iraq during period from 2015 to 2017. Res J Pharm Tech 2017;10(10):3264-3270.##</REF>
        </REFRENCE>
    </REFRENCES>
</ARTICLE>

<ARTICLE>
    <TitleE>Evaluation of the Effect of Morphine and Imiquimodon Expression of TLR2 and TLR4 from Lesion RNA Extracted from BALB/c Mice Infected with Leishmania major</TitleE>
    <TitleF></TitleF>
    <TitleLang_ID>2</TitleLang_ID>
    <ABSTRACTS>

        <ABSTRACT>
            <Language_ID>2</Language_ID>
            <CONTENT>&lt;p&gt;Background: Toll-Like Receptors (TLRs) are the cause of phagocytosis activation and destruction of the infection agents. In addition, new evidences support the idea that TLRs play a vital role in starting the acquired immunity reactions.&lt;br /&gt;
Methods: In this study, it has been attempted to infect the BALB/c mice with &lt;em&gt;Leishmania major (L. major)&lt;/em&gt; and treat them using morphine and imiquimod; then the expressions of TLR2,4 from treated lesion were studied by using Real-Time PCR method. Treatment with morphine 1 &lt;em&gt;mg/kg&lt;/em&gt;, imiquimod 5% and nalmefene 1&lt;em&gt; mg/kg&lt;/em&gt; began four weeks after the challenge. After treatment period, half of the mice of each group were killed and their lesions were isolated for RNA extraction and making cDNA. For the rest of mice, lesion size was measured weekly.&lt;br /&gt;
Results: The results showed increase of expression of &lt;em&gt;TLR2&lt;/em&gt; gene among all treated groups relative to the control, and the difference was significant (p&amp;lt;0.05). The expression of&lt;em&gt; TLR4&lt;/em&gt; gene only was reduced in groups under treatment with morphine and morphine plus nalmefene relative to the control group and in the other groups increased. The highest expression of &lt;em&gt;TLR2&lt;/em&gt; was seen in the group treated by glucantime (p&amp;lt;0.0001).&amp;nbsp;&lt;br /&gt;
Conclusion: However, in this study it was found that despite decreasing the size of lesion in all treated groups, expression of &lt;em&gt;TLR4&lt;/em&gt;&amp;nbsp; in the morphine, nalmefene, morphine plus nalmefene treated groups compared to the control group was decreased. Therefore, morphine may have a different function mechanism in treatment of the Leishmaniasis with the &lt;em&gt;L. major&lt;/em&gt;.&lt;/p&gt;
</CONTENT>
        </ABSTRACT>
    </ABSTRACTS>
    <PAGES>
        <PAGE>
            <FPAGE>202</FPAGE>
            <TPAGE>205</TPAGE>
        </PAGE>
    </PAGES>
    <AUTHORS>
        <AUTHOR>
<Name>Parisa</Name>
<MidName></MidName>
<Family>Ebrahimisadr</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Parasitology and Entomology, Faculty of Medical Sciences, Tarbiat Modares University</Organization>
</Organizations>
<Universities>
<University>Department of Parasitology and Entomology, Faculty of Medical Sciences, Tarbiat Modares University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Fatemeh</Name>
<MidName></MidName>
<Family>Ghaffarifar</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Parasitology and Entomology, Faculty of Medical Sciences, Tarbiat Modares University</Organization>
</Organizations>
<Universities>
<University>Department of Parasitology and Entomology, Faculty of Medical Sciences, Tarbiat Modares University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>John</Name>
<MidName></MidName>
<Family>Horton</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Tropical Projects</Organization>
</Organizations>
<Universities>
<University>Tropical Projects</University>
</Universities>
<Countries>
<Country>United Kingdom</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Abdolhossein</Name>
<MidName></MidName>
<Family>Dalimi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Department of Parasitology and Entomology, Faculty of Medical Sciences, Tarbiat Modares University</Organization>
</Organizations>
<Universities>
<University>Department of Parasitology and Entomology, Faculty of Medical Sciences, Tarbiat Modares University</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR><AUTHOR>
<Name>Zohreh</Name>
<MidName></MidName>
<Family>Sharifi</Family>
<NameE></NameE>
<MidNameE></MidNameE>
<FamilyE></FamilyE>
<Organizations>
<Organization>Blood Transfusion Research Center, High Institute for Education and Research in Transfusion Medicine</Organization>
</Organizations>
<Universities>
<University>Blood Transfusion Research Center, High Institute for Education and Research in Transfusion Medicine</University>
</Universities>
<Countries>
<Country>Iran</Country>
</Countries>
<EMAILS>
<Email></Email>
</EMAILS>
</AUTHOR>
    </AUTHORS>
    <KEYWORDS>
        <KEYWORD><KeyText>&lt;i&gt;Leishmania major&lt;/i&gt;</KeyText></KEYWORD><KEYWORD><KeyText>Lesions</KeyText></KEYWORD><KEYWORD><KeyText>Mice</KeyText></KEYWORD><KEYWORD><KeyText>Morphine</KeyText></KEYWORD><KEYWORD><KeyText>Toll-like receptors</KeyText></KEYWORD>
    </KEYWORDS>
    <PDFFileName>10401.pdf</PDFFileName>
    <REFRENCES>
        <REFRENCE>
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    </REFRENCES>
</ARTICLE>

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