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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">AJMB</journal-id>
			<journal-title>Avicenna Journal of Medical Biotechnology</journal-title>
			<issn pub-type="ppub">2008-2835</issn>
			<issn pub-type="epub">2008-4625</issn>
			<publisher>
				<publisher-name>Avicenna Research Institute</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">AJMB-2-145</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Synchronous Comparison of <italic>Mycobacterium tuberculosis</italic> Epidemiology Strains by &#x201C;MIRU-VNTR&#x201D; and &#x201C;MIRU-VNTR and Spoligotyping&#x201D; Technique</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author" corresp="yes">
					<name>
						<surname>Jafarian</surname>
						<given-names>Mehdi</given-names>
					</name>
					<xref ref-type="aff" rid="AF0001">1</xref>
					<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Aghali-Merza</surname>
						<given-names>Muayed</given-names>
					</name>
					<xref ref-type="aff" rid="AF0001">1</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Farnia</surname>
						<given-names>Parissa</given-names>
					</name>
					<xref ref-type="aff" rid="AF0001">1</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Ahmadi</surname>
						<given-names>Mojtaba</given-names>
					</name>
					<xref ref-type="aff" rid="AF0001">1</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Masjedi</surname>
						<given-names>Mohammad Reza</given-names>
					</name>
					<xref ref-type="aff" rid="AF0002">2</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Velayati</surname>
						<given-names>Ali Akbar</given-names>
					</name>
					<xref ref-type="aff" rid="AF0002">2</xref>
				</contrib>
			</contrib-group>
			<aff id="AF0001">
				<label>1</label>Mycobacteriology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</aff>
			<aff id="AF0002">
				<label>2</label>National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran</aff>
			<author-notes>
				<corresp id="cor1">
				<label>&#x002A;</label>
					<bold>Corresponding author:</bold> Mehdi Jafarian, M.Sc., Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran. <bold>Tel:</bold> +98 21 20109505. <bold>E-mail:</bold> <email xlink:href="mehdijafariandormency@gmail.com">mehdijafariandormency@gmail.com</email>
				</corresp>
			</author-notes>
			<pub-date pub-type="ppub">
				<season>July-September</season>
				<year>2010</year>
			</pub-date>
			<volume>2</volume>
			<issue>3</issue>
			<fpage>145</fpage>
			<lpage>152</lpage>
			<history>
				<date date-type="received">
					<day>05</day>
					<month>09</month>
					<year>2010</year>
				</date>
				<date date-type="accepted">
					<day>25</day>
					<month>09</month>
					<year>2010</year>
				</date>
			</history>
			<permissions>
				<copyright-statement>Copyright &#x00A9; 2010 Avicenna Research Institute</copyright-statement>
				<copyright-year>2010</copyright-year>
				<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc/3.0/">
					<p>This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.</p>
				</license>
			</permissions>
			<abstract>
					<p>Molecular epidemiology analyses are frequently used in determining epidemiology of tuberculosis. Recently, Mycobacterial Interspersed Repetitive Unit Variable Number Tandem Repeat (MIRU-VNTR) and Spoligotyping has become an important method, as it allows high-through put, discriminatory and reproducible analysis of clinical isolate. The purpose of this study is to compare techniques of &#x201C;MIRU-VNTR&#x201D; versus &#x201C;MIRU-VNTR and Spoligotyping&#x201D; together for study of genetic pattern of <italic>Mycobacterium tuberculosis (M. tuberculosis)</italic> strains. Sixty <italic>M. tuberculosis (MTB)</italic> isolates were selected (30 susceptible, 30 multi-drug resistant) for this study. Thereafter, the &#x201C;MIRU-VNTR and Spoligotyping&#x201D; were performed to identify their genetic patterns. The frequency of unknown genetic pattern of MTB was compared using technique of &#x201C;MIRU-VNTR&#x201D; alone versus &#x201C;MIRU-VNTR and Spoligotyping&#x201D; together. The MIRU-VNTR allelic diversity at each of the loci was calculated by Hunter &#x2013; Gaston Discriminatory Index (HGDI). Based on differentiation index of all strains 10, 16, 26, 31 and 40 loci were identified as the most distinctive (HGI &#x2265;0.6) and 2, 4, 20 and 24 as the weakest distinctive locus (HGI &#x2264;0.3). By using MIRU-VNTR technique 38% (n = 23) of isolates could not be typed, whereas by applying &#x201C;MIRU-VNTR and Spoligotyping&#x201D; together only 15% (n = 9) of isolates remained unknown (p = 0.004). For sensitive strains, the difference was significant (67% <italic>vs</italic>. 90%, p = 0.028), but only marginally significant for drug resistant strains (57% <italic>vs</italic>. 80%, p = 0.052). The discrimination power of 12-locus MIRU-VNTR and Spoligotyping was equal to that of MIRU-VNTR analysis. If appropriate loci are added to the standard MIRU analysis, MIRU-VNTR genotyping could be a valuable tool for strain typing and epidemiological research of <italic>M. tuberculosis</italic>. With this approach a more clear understanding about genetic pattern of <italic>MTB</italic> can be achieved.</p>
			</abstract>
			<kwd-group>
				<kwd>Alleles</kwd>
				<kwd>Genetic Loci</kwd>
				<kwd>Molecular epidemiology</kwd>
				<kwd><italic>Mycobacterium tuberculosis</italic></kwd>
				<kwd>Restriction fragment length polymorphism</kwd>
			</kwd-group>
		</article-meta>
	</front>
	<body>
		<sec id="S0001" sec-type="intro">
			<title>Introduction</title>
			<p>Tuberculosis is one of the main factors of vital statistic in the third world countries. Ninety percent of all tuberculosis patients live in third world countries (<xref ref-type="bibr" rid="CIT0001">1</xref>). In some regions like Saharan desert in Africa 1000 of 100,000 people are infected with tuberculosis and HIV co-infection, among which one out of three dies from HIV virus (<xref ref-type="bibr" rid="CIT0002">2</xref>). Recent, spread and rise in multi-drug resistant <italic>M. tuberculosis (MTB)</italic> isolate had worsened the matter. In addition, the worldwide development of transport and migration contributes to globalize these threats. Therefore, there is an urgent need to understand and estimate the incidence of tuberculosis in large and small biographical ranges (<xref ref-type="bibr" rid="CIT0003">3</xref>).</p>
			<p>In this context, effective methods for accurate identification and typing is required. However, all the current typing markers suffer from significant drawbacks. For example DNA fingerprinting method based on IS6110 is a powerful tool to study molecular epidemiology of <italic>MTB</italic> isolates. But RFLP based on IS6110 typing is difficult and time consuming, and cannot be applied to <italic>MTB</italic> strains with low or no IS6110 banding patterns (<xref ref-type="bibr" rid="CIT0004">4</xref>).</p>
			<p>Spoligotyping analyzes the Direct Repeat (DR) locus in the genome of <italic>M. tuberculosis</italic>, which is composed of a cluster of 36 <italic>bp</italic> repeat sequences interspersed with unique spacers of 35 to 41 <italic>bp</italic>. By using a reverse Southern blotting technique, the variability in the spacer sequences can be interrogated and recorded in a digital code (<xref ref-type="bibr" rid="CIT0005">5</xref>). Although this method provides digital typing data, it is only measuring variability in a single locus and does not generally provide sufficient discrimination for outbreak investigation (<xref ref-type="bibr" rid="CIT0006">6</xref>).</p>
			<p>Another molecular technique for strain typing of <italic>MTB</italic> is based on Variable Number Tandem Repeats (VNTRs) of Mycobacterial Interspersed Repetitive Units (MIRUs). The repeated units are 52 to 77 nucleotides in length and the number of repeated units can be determined by the size of the entire locus. Previous studies demonstrated the importance of MIRU-VNTR method for tracking epidemiological key events such as transmission or relapse and provide non-ambiguous data which are highly portable between different laboratories (<xref ref-type="bibr" rid="CIT0007">7</xref>).</p>
			<p>The purpose of this study was to compare the frequency of unknown genetic pattern of <italic>MTB</italic> isolates by using single technique of &#x201C;MIRU-VNTR&#x201D; versus the combined techniques of &#x201C;MIRU-VNTR and Spoligotyping&#x201D;.</p>
		</sec>
		<sec id="S0002" sec-type="materials|methods">
			<title>Materials and Methods</title>
			<sec id="S20003">
				<title>Design and setting</title>
				<p>The study was conducted in Mycobacteriology Research Center, NRITLD, Shahid Beheshti University of Medical Sciences, Tehran, Iran (2009).</p>
			</sec>
			<sec id="S20004">
				<title>Participants and sampling</title>
				<p>Sixty <italic>MTB</italic> isolate along with their clinical files (30 sensitive and 30 multi-drug resistant <italic>MTB</italic> from Mycobacteriology bank in MRC) were used for this study.</p>
			</sec>
			<sec id="S20005">
				<title>Extraction DNA</title>
				<p>DNA from <italic>M. tuberculosis</italic> isolates was extracted from growth on LJ slants by a well standized method. In brief, fifty <italic>&#x00B5;l</italic> of Lysozyme (Merck, Germany) was added to the mycobacterial suspension in 400 <italic>&#x00B5;l</italic> of water, followed by stirring and incubation at 37 &#x00B0;<italic>C</italic>. Ten <italic>&#x00B5;l</italic> with 10 <italic>mg/ml</italic> of proteinase K (Merck, Germany) was added to the sample, which was incubated for 10 <italic>min</italic> at 65&#x00B0;<italic>C</italic>, and then heated at 100&#x00B0;<italic>C</italic> for 30 <italic>min</italic>. One volume of phenol/ chloroform/ isoamyl-alcohol 25: 24: 1 was added to the supernatant, mixed by inversion and centrifuged at 12,000 <italic>xg</italic> for 10 <italic>min</italic>. The aqueous phase was transferred to other tubs, and the extraction procedure was repeated. A volume of chloroform/ isoamyl-alcohol 24: 1 was added and mixed by inversion followed by centrifugation for 10 <italic>min</italic> at 12,000 <italic>xg</italic>. One hundred <italic>&#x00B5;l</italic> of 5 <italic>M</italic> Nacl and two volumes of absolute ethanol were added to the supernatant. Samples were incubated for 60 <italic>min</italic> at &#x2212;20&#x00B0;<italic>C</italic> and centrifuged for 15 <italic>min</italic> at 12,000 <italic>xg</italic>. The pellet was washed twice with 1 <italic>ml</italic> of 70% ethanol and re suspended in 200 <italic>&#x00B5;l</italic> of 0.1 x TE buffer (1 <italic>mM</italic> Tris- Hcl, 0.1 <italic>mM</italic> EDTA, Ph 8). Four <italic>&#x00B5;l</italic> of this sample was used for PCR (<xref ref-type="bibr" rid="CIT0008">8</xref>).</p>
			</sec>
			<sec id="S20006">
				<title>MIRU &#x2013; VNTR typing</title>
				<p>PCR was performed in 25 <italic>&#x00B5;l</italic> volume that contained 5 to 50 <italic>ng</italic> of DNA, 0.5 <italic>&#x00B5;m</italic> of specific primers (<xref ref-type="table" rid="T0001">Table 1</xref>) in the presence of 1.5 <italic>m</italic> MgCl<sub>2</sub>, 100 <italic>&#x00B5;m</italic> of each d NTP, 70 <italic>m</italic> PCR buffer and 1.25 <italic>u</italic> recombinant DNA polymerase (Cinagen Co. Iran) (<xref ref-type="bibr" rid="CIT0009">9</xref>). DNA was amplified by general PCR. All PCRs were initiated by a 10 <italic>min</italic> denaturizing step at 72 &#x00B0;<italic>C</italic>. The temperature cycles for different types of PCRs were as follow: 35 cycles of 1 <italic>min</italic> at 94 &#x00B0;<italic>C</italic>, annealing temperatures were used as follow: 61, 60, 64, 67, 65, 64, 61, 64, 58, 63, 62 and 64 for MIRU loci 2, 4, 10, 16, 20, 23, 24, 26, 27, 31, 39 and 40, respectively. Also the MIRU copy numbers in the 12 MIRU-VNTR loci are shown in <xref ref-type="table" rid="T0002">Table 2</xref>, (<xref ref-type="bibr" rid="CIT0005">5</xref>).
</p>
				<table-wrap id="T0001">
				<label>Table 1</label>
					<caption>
						<p>Primer sequence of the MIRU-VNTR loci and Spoligotyping in this study</p>
					</caption>
					<table frame="hsides" rules="groups">
						<thead>
							<tr>
								<th align="left">Locus of MIRU</th>
								<th align="center">Primer sequence (5<sup>&#x2032;</sup>&#x2192;3<sup>&#x2032;</sup>)</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left">
									<bold>2</bold>
								</td>
								<td align="center">TGGACTTGCAGCAATGGACCAACT F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">TACTCGGACGCCGGCTCAAAA&#x2018; R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>4</bold>
								</td>
								<td align="center">GCGCGAGAGCCCGAACTGC F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">GCGCAGCAGAAACGTCAGC R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>10</bold>
								</td>
								<td align="center">GTTCTTGACCAACTGCAGTCGTCC F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">GCCACCTTGGTGATCAGCTACCT R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>16</bold>
								</td>
								<td align="center">TCGGTGATCGGGTCCAGTCCAAGTA F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">CCCGTCGTGCAGCCCTGGTAC R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>20</bold>
								</td>
								<td align="center">TCGGAGAGATGCCCTTCGAGTTAG F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">GGAGACCGCGACCAGGTACTTGTA R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>23</bold>
								</td>
								<td align="center">CAGCGAAACGAACTGTGCTATCAC F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">CGTGTCCGAGCAGAAAAGGGTAT R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>24</bold>
								</td>
								<td align="center">CGACCAAGATGTGCAGGAATACAT F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">GGGCGAGTTGAGCTCACAGAA R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>26</bold>
								</td>
								<td align="center">CCCGCCTTCGAAACGTCGCT F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">TGGACATAGGCGACCAGGCGAATA R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>27</bold>
								</td>
								<td align="center">TCGAAAGCCTCTGCGTGCCAGTAA F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">GCGATGTGAGCGTGCCACTCAA R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>31</bold>
								</td>
								<td align="center">ACTGATTGGCTTCATACGGCTTTA F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">GTGCCGACGTGGTCTTGAT R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>39</bold>
								</td>
								<td align="center">CGCATCGACAAACTGGAGCCAAAC F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">CGGAAACGTCTACGCCCCACACAT R</td>
							</tr>
							<tr>
								<td align="left">
									<bold>40</bold>
								</td>
								<td align="center">GGGTTGCTGGATGACAACGTGT F</td>
							</tr>
							<tr>
								<td align="left"/>
								<td align="center">GGGTGATCTCGGCGAAATCAGATA R</td>
							</tr>
							<tr>
								<td align="left" colspan="2">
									<hr/>
								</td>
							</tr>
							<tr>
								<td align="left">
									<bold>Locus of Spoligotyping</bold>
								</td>
								<td align="center">Primer sequence (5<sup>&#x2032;</sup>&#x2192;3<sup>&#x2032;</sup>)</td>
							</tr>
							<tr>
								<td align="left" colspan="2">
									<hr/>
								</td>
							</tr>
							<tr>
								<td align="left">
									<bold>DR</bold>
									<sub>
										<bold>a</bold>
									</sub>
								</td>
								<td align="center">Biotin- GGTTTTGGGTCTGACGAC</td>
							</tr>
							<tr>
								<td align="left">
									<bold>DRb</bold>
								</td>
								<td align="center">CCGAGAGGGGACGGAAAC</td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn>
							<p>MIRU-VNTR: Mycobacterial Interspersed Repetitive Unit Variable Number Tandem Repeat</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
				<table-wrap id="T0002">
				<label>Table 2</label>
					<caption>
						<p>MIRU locus information for <italic>M. tuberculosis</italic> H37RV</p>
					</caption>
					<table frame="hsides" rules="groups">
						<thead>
							<tr>
								<th align="left">MIRU alias</th>
								<th align="center">Locus name</th>
								<th align="center">Location on H37RV genome</th>
								<th align="center">Expected length in H37RV</th>
								<th align="center">No. of repeat and size repeat</th>
								<th align="center">Size of repeat (<italic>bp</italic>)</th>
							</tr>
						</thead>
						<tbody>
							<tr>
								<td align="left"><bold>MIRU 02</bold></td>
								<td align="left">H37RV0154-53 <italic>bp</italic>
								</td>
								<td align="center">154111</td>
								<td align="center">508</td>
								<td align="center">2 (53)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf1.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU 04</bold></td>
								<td align="left">H37RV0580-77 <italic>bp</italic>
								</td>
								<td align="center">580546</td>
								<td align="center">353</td>
								<td align="center">3(77)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf2.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU 10</bold></td>
								<td align="left">H37RV0959-53 <italic>bp</italic>
								</td>
								<td align="center">959868</td>
								<td align="center">643</td>
								<td align="center">3(53)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf3.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU16</bold></td>
								<td align="left">H37RV1644-53 <italic>bp</italic>
								</td>
								<td align="center">1644026</td>
								<td align="center">671</td>
								<td align="center">2(53)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf4.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU20</bold></td>
								<td align="left">H37RV2059-77 <italic>bp</italic>
								</td>
								<td align="center">2059429</td>
								<td align="center">591</td>
								<td align="center">2(77)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf5.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU23</bold></td>
								<td align="left">H37RV2531-53 <italic>bp</italic>
								</td>
								<td align="center">2531560</td>
								<td align="center">873</td>
								<td align="center">6(53)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf6.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU24</bold></td>
								<td align="left">H37RV2387-54 <italic>bp</italic>
								</td>
								<td align="center">2684427</td>
								<td align="center">447</td>
								<td align="center">1(52)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf7.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU26</bold></td>
								<td align="left">H37RV2996-51 <italic>bp</italic>
								</td>
								<td align="center">2996002</td>
								<td align="center">614</td>
								<td align="center">3(51)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf8.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU27</bold></td>
								<td align="left">H37RV3006-53 <italic>bp</italic>
								</td>
								<td align="center">3006875</td>
								<td align="center">657</td>
								<td align="center">3(53)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf9.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU31</bold></td>
								<td align="left">H37RV3192-53 <italic>bp</italic>
								</td>
								<td align="center">3192168</td>
								<td align="center">651</td>
								<td align="center">3(53)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf10.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU39</bold></td>
								<td align="left">H37RV4348-53 <italic>bp</italic>
								</td>
								<td align="center">4348401</td>
								<td align="center">646</td>
								<td align="center">2(53)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf11.tif"/></td>
							</tr>
							<tr>
								<td align="left"><bold>MIRU40</bold></td>
								<td align="left">H37RV0802-54 <italic>bp</italic>
								</td>
								<td align="center">802194</td>
								<td align="center">408</td>
								<td align="center">1(54)</td>
								<td align="left"><inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ilf12.tif"/></td>
							</tr>
						</tbody>
					</table>
					<table-wrap-foot>
						<fn>
							<p>MIRU-VNTR: Mycobacterial Interspersed Repetitive Unit Variable Number Tandem Repeat</p>
						</fn>
					</table-wrap-foot>
				</table-wrap>
			</sec>
			<sec id="S20007">
				<title>Analysis</title>
				<p>Genetic analysis patterns MIRU-VNTR for each strain to a twenty digit profile from right to left indicate loci 2, 4, 10, 16, 20, 23, 24, 26, 27, 31, 39 and 40, respectively. For example pattern of genetic strains H37RV (<italic>M. tuberculosis</italic> standard strain) a 2, 3, 3, 2, 2, 6, 1, 3, 3, 3, 2 and 1 is the genetic pattern that can be seen in this model in <xref ref-type="fig" rid="F0001">Figure 1A</xref> (<xref ref-type="bibr" rid="CIT0010">10</xref>).</p>
				<fig id="F0001">
					<label>Figure 1</label>
					<caption>
						<p>A) PCR products of the various <italic>M. tuberculosis</italic> H37RV isolates with using primer that amplify 12 locus MIRU-VNTR. Lane M, 100-<italic>bp</italic> molecular marker. B) Genotypic of <italic>M. tuberculosis</italic> H37RV. Spoligotyping is from the MIRU-VNTR plus database MIRU-VNTR: Mycobacterial Interspersed Repetitive Units Variable Number Tandem Repeat</p>
					</caption>
					<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-g001.tif" alt-version="no"/>
				</fig>
			</sec>
			<sec id="S20008">
				<title>Spoligotyping</title>
				<p>Spoligotyping was performed as previously described by Kamerbeek et al (<xref ref-type="bibr" rid="CIT0011">11</xref>). The DR region was amplified by PCR using primers derived from the DR sequence. Fifty <italic>&#x00B5;l</italic> of the following reaction mixture was used for the PCR: 10 <italic>ng</italic> of DNA, 20 <italic>pmol</italic> each of primers DR<sub>a</sub> and DR<sub>b</sub>, each deoxynucleoside triphosphate at 200 <italic>mM</italic>, PCR buffer, and 0.5 <italic>u</italic> of taq polymerase (Cinagen Co. Iran). The mixture was heated for 2 <italic>min</italic> at 94 &#x00B0;<italic>C</italic> and subjected to 30 cycles of 30 <italic>sec</italic> at 94 &#x00B0;<italic>C</italic>, 30 <italic>sec</italic> at 55 &#x00B0;<italic>C</italic>, and 1 <italic>min</italic> at 72 &#x00B0;<italic>C</italic>. The amplified DNA was hybridized to a set of 43 immobilized oligo-nucleotides, each corresponding to one of the unique spacer DNA sequence within the DR locus.</p>
				<p>The sequence of the oligonucleotides used is given in <xref ref-type="table" rid="T0002">Table 2</xref>. These oligonucleotides were covalently bound to a hybridization membrane for hybridization. Twenty <italic>&#x00B5;l</italic> of the amplified PCR product was diluted in 150 <italic>&#x00B5;l</italic> of 2 Saline &#x2013; Sodium Phosphate &#x2013; EDTA (SSPE), supplemented with 0.1% sodium dodecyl sulfate, and heat denatured. The diluted samples (130 <italic>&#x00B5;l</italic>) were pipetted in to the parallel channels in such a way that the channels of the miniblotter apparatus were perpendicular to the rows of oligonucleotides deposited previously. Hybridization was done for 60 <italic>min</italic> at 60 &#x00B0;<italic>C</italic>.</p>
				<p>After hybridization, the membrane was washed as previously described. Detection of hybridizing DNA was done using a (chemilu-minescent ammersham ECL direct nucleotide acid) detection kit. The 4 digit binary result was converted in to a 15 digit octal designa-tion as previously described (<xref ref-type="bibr" rid="CIT0012">12</xref>).</p>
			</sec>
			<sec id="S20009">
				<title>Analysis</title>
				<p>These rational systems (<xref ref-type="fig" rid="F0001">Figure 1B</xref>) are based on the identification of the spoligotype pattern as a 43- digit binary number (taking a negative as 0 and positive as 1), which can be presented in a shorter format by converting to either octal or hexadecimal formats. For the octal system, the pattern is read in groups of 3, as 3 &#x2013; digit binary number can be read as a single digit octal number. In this way the binary series 000, 001, 010, 011, 100, 101, 110, 111 is read respectively as 0, 1, 2, 3, 4, 5, 6, 7. Following 14 groups of 3, the 43<sup>rd</sup> spacer is read on its own, simply as 0 or 1 (<xref ref-type="bibr" rid="CIT0013">13</xref>).</p>
			</sec>
			<sec id="S20010">
				<title>MIRU-VNTR plus</title>
				<p>The information was analysed by MIRU-VNTR plus website. MIRU-VNTR plus software compares and analyses the received information with the information bank in its own software.</p>
			</sec>
			<sec id="S20011">
				<title>Codes of ethics</title>
				<p>This study was short term research project and information regarding each patient kept confidential. The study was approved by the medical board of NRITLD.</p>
			</sec>
			<sec id="S20012">
				<title>Statistical analysis</title>
				<p>The Hunter &#x2013; Gaston Discriminatory Index (HGDI) described by Hunter and Gaston (Hunter and Gaston, 2003) was used as a numerical index for MIRU-VNTR discriminatory power. HGDI was calculated by using the following formula: (<xref ref-type="bibr" rid="CIT0014">14</xref>)
 <disp-formula id="UFD1">
						<mml:math id="UM1">
							<mml:mrow>
								<mml:mi>D</mml:mi>
								<mml:mo>=</mml:mo>
								<mml:mn>1</mml:mn>
								<mml:mo>-</mml:mo>
								<mml:mfrac>
									<mml:mn>1</mml:mn>
									<mml:mrow>
										<mml:mi>N</mml:mi>
										<mml:mo stretchy="false">(</mml:mo>
										<mml:mi>N</mml:mi>
										<mml:mo>-</mml:mo>
										<mml:mn>1</mml:mn>
										<mml:mo stretchy="false">)</mml:mo>
									</mml:mrow>
								</mml:mfrac>
								<mml:munderover>
									<mml:mo>&#x02211;</mml:mo>
									<mml:mrow>
										<mml:mi>j</mml:mi>
										<mml:mo>=</mml:mo>
										<mml:mn>1</mml:mn>
									</mml:mrow>
									<mml:mi>s</mml:mi>
								</mml:munderover>
								<mml:mrow>
									<mml:msub>
										<mml:mi>x</mml:mi>
										<mml:mi>j</mml:mi>
									</mml:msub>
									<mml:mo stretchy="false">(</mml:mo>
									<mml:msub>
										<mml:mi>x</mml:mi>
										<mml:mi>j</mml:mi>
									</mml:msub>
									<mml:mo>-</mml:mo>
									<mml:mn>1</mml:mn>
									<mml:mo stretchy="false">)</mml:mo>
								</mml:mrow>
							</mml:mrow>
						</mml:math>
						<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-ueq1.tif" alternate-form-of="UFD1"/>
					</disp-formula>
				</p>
				<p>Where, <italic>N</italic> stands for the total number of strains in the typing scheme, <italic>S</italic> stands for the total number of different MIRU-VNTR patterns, and <italic>xj</italic> stands for the number of strains belonging to the Jth pattern.</p>
				<p>P less than 0.05 was considered as significant. Statistical package SPSS (<xref ref-type="bibr" rid="CIT0015">15</xref>) was used for analysis of data. Chi square was used to determine possible difference by means of unknown <italic>MTB</italic> strains between the single and combined techniques.</p>
			</sec>
		</sec>
		<sec id="S0013" sec-type="results">
			<title>Results</title>
			<p>As it shown in <xref ref-type="table" rid="T0003">Table 3</xref> 34% of susceptible strains could not identified by MIRU-VNTR, and the remaining 66% were identified as Haarlem family (17%), Dehli/ CAS (17%), NEW1 (14%), and LAM, Uganda and M.X families were 7%. Similarly, 44% drug resistant strains could not be identified by MIRU-VNTR technique. Using both &#x201C;MIRU-VNTR and Spoligotyping&#x201D; techniques together significantly reduced the percentage of unknown strains (<xref ref-type="table" rid="T0003">Table 3</xref>).
</p>
			<table-wrap id="T0003">
			<label>Table 3</label>
				<caption>
					<p>Frequency of sensitive and drug resistance strains of <italic>MTB</italic> by &#x201C;MIRU-VNTR&#x201D; assay versus &#x201C;MIRU-VNTR and Spoligotyping&#x201D; together</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left">Families</th>
							<th align="center">MIRU-VNTR No. (%)</th>
							<th align="center">MIRU-VNTR+ Spoligotyping No. (%)</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left"><bold>Sensitive strains</bold></td>
							<td align="left"/>
							<td align="left"/>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Known</bold></td>
							<td align="center">20 (67) Case</td>
							<td align="center">27 (90) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Haarlem</bold></td>
							<td align="center">5 (16) Case</td>
							<td align="center">7 (23) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Dehli/CAS</bold></td>
							<td align="center">5 (16) Case</td>
							<td align="center">8 (26) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;NEW1</bold></td>
							<td align="center">4 (14) Case</td>
							<td align="center">6 (20) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;LAM</bold></td>
							<td align="center">2 (7) Case</td>
							<td align="center">2 (7) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Uganda1</bold></td>
							<td align="center">2 (7) Case</td>
							<td align="center">2 (7) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;M.X</bold></td>
							<td align="center">2 (7) Case</td>
							<td align="center">2 (7) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Unknown</bold></td>
							<td align="center">10 (33) Case</td>
							<td align="center">3 (10) Case</td>
						</tr>
						<tr>
							<td colspan="3" align="left"><bold>Multi-drug resistant strains</bold></td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Known</bold></td>
							<td align="center">17 (57) Case</td>
							<td align="center">24 (80) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Haarlem</bold></td>
							<td align="center">4 (14) Case</td>
							<td align="center">6 (20) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Dehli/CAS</bold></td>
							<td align="center">4 (14) Case</td>
							<td align="center">5 (16) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;LAM</bold></td>
							<td align="center">3 (10) Case</td>
							<td align="center">4 (14) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Uganda 1</bold></td>
							<td align="center">2 (7) Case</td>
							<td align="center">2 (7) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Cameron</bold></td>
							<td align="center">1(3) Case</td>
							<td align="center">2 (7) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Beijing</bold></td>
							<td align="center">1 (3) Case</td>
							<td align="center">1(3) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Ghana</bold></td>
							<td align="center">0 (0) Case</td>
							<td align="center">1(3) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Bovis</bold></td>
							<td align="center">1 (3) Case</td>
							<td align="center">1(3) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Caparie</bold></td>
							<td align="center">1 (3) Case</td>
							<td align="center">1(3) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;M.X</bold></td>
							<td align="center">0 (0) Case</td>
							<td align="center">1(3) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Unknown</bold></td>
							<td align="center">13 (43) Case</td>
							<td align="center">6(20) Case</td>
						</tr>
						<tr>
							<td colspan="3" align="left"><bold>All strains</bold></td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Known</bold></td>
							<td align="center">37 (62) Case</td>
							<td align="center">51(85) Case</td>
						</tr>
						<tr>
							<td align="left"><bold>&#x2003;Unknown</bold></td>
							<td align="center">23 (38) Case</td>
							<td align="center">9(15) Case</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn>
						<p>MIRU-VNTR: Mycobacterial Interspersed Repetitive Units Variable Number Tandem Repeat</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>As shown in <xref ref-type="table" rid="T0003">Table 3</xref>, thirteen strains with unknown sample (by &#x201C;MIRU-VNTR&#x201D; technique) decreased to 6 strains by using &#x201C;MIRU-VNTR and Spoligotyping&#x201D; technique. On the other hand strains (samples specified) increased by using the two techniques; because of the setting of the family samples for some of the unknown strains (<xref ref-type="table" rid="T0003">Table 3</xref>).</p>
			<p>Overall by using &#x201C;MIRU-VNTR&#x201D; technique, 38% of isolates could not be identified whereas by applying &#x201C;MIRU-VNTR and Spoligotyping&#x201D; together only 15% of the isolates remained unknown (p &#x003C; 0.05).</p>
			<p>In <xref ref-type="table" rid="T0004">Table 4</xref>, the allelic differences for MIRU loci had accounted based on HGDI statistic formula; that is loci 20, 24 and 27 had lower allele difference (HGDI &#x2264;0.3), loci 31, 39 and 40 were in middle (0.3 &#x2264;HGDI &#x2264;0.6) and loci 10, 16, 23 and 26 had the most allele difference among the locus MIRU (HGDI &#x2265;0.6).
</p>
			<table-wrap id="T0004">
			<label>Table 4</label>
				<caption>
					<p>Allellic diversity of each MIRU-VNTR locus</p>
				</caption>
				<table frame="hsides" rules="groups">
					<tbody>
						<tr>
							<td align="left" colspan="2"><bold>Locus</bold></td>
							<td align="center"><bold>1</bold></td>
							<td align="center"><bold>2</bold></td>
							<td align="center"><bold>3</bold></td>
							<td align="center"><bold>4</bold></td>
							<td align="center"><bold>5</bold></td>
							<td align="center"><bold>6</bold></td>
							<td align="center"><bold>7</bold></td>
							<td align="center"><bold>8</bold></td>
							<td align="center"><bold>9</bold></td>
							<td align="center"><bold>HGDI</bold></td>
						</tr>
						<tr>
							<td align="left">
								<bold>2</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">1</td>
							<td align="center">60</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">0</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">33</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">0</td>
						</tr>
						<tr>
							<td align="left">
								<bold>4</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">61</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">0</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">31</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">0</td>
						</tr>
						<tr>
							<td align="left">
								<bold>10</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">1</td>
							<td align="center">18</td>
							<td align="center">14</td>
							<td align="center">11</td>
							<td align="center">13</td>
							<td align="center">4</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">70%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">16</td>
							<td align="center">5</td>
							<td align="center"/>
							<td align="center">8</td>
							<td align="center">3</td>
							<td align="center">1</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">66%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>16</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">4</td>
							<td align="center">16</td>
							<td align="center">32</td>
							<td align="center">8</td>
							<td align="center">1</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">64%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">2</td>
							<td align="center">2</td>
							<td align="center">18</td>
							<td align="center">10</td>
							<td align="center">1</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">59%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>20</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">2</td>
							<td align="center">59</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">10%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">3</td>
							<td align="center">30</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">14%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>23</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">6</td>
							<td align="center">55</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">16%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">1</td>
							<td align="center">&#x2013;</td>
							<td align="center">32</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">10%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>24</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">61</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">0.02%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">33</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">0</td>
						</tr>
						<tr>
							<td align="left">
								<bold>26</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">2</td>
							<td align="center">2</td>
							<td align="center">6</td>
							<td align="center">24</td>
							<td align="center">13</td>
							<td align="center">8</td>
							<td align="center">5</td>
							<td align="center">1</td>
							<td align="center">78%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">7</td>
							<td align="center">10</td>
							<td align="center">1</td>
							<td align="center">9</td>
							<td align="center">6</td>
							<td align="center">&#x2013;</td>
							<td align="center">76%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>27</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">3</td>
							<td align="center">3</td>
							<td align="center">55</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">17%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">1</td>
							<td align="center">30</td>
							<td align="center">2</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">14%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>31</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center"/>
							<td align="center">1</td>
							<td align="center">1</td>
							<td align="center">40</td>
							<td align="center">8</td>
							<td align="center">11</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">51%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">20</td>
							<td align="center">6</td>
							<td align="center">7</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">45%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>39</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">44</td>
							<td align="center">17</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">42%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">&#x2013;</td>
							<td align="center">1</td>
							<td align="center">20</td>
							<td align="center">12</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">52%</td>
						</tr>
						<tr>
							<td align="left">
								<bold>40</bold>
							</td>
							<td align="left">
								<bold>M</bold>
							</td>
							<td align="center">3</td>
							<td align="center">5</td>
							<td align="center">41</td>
							<td align="center">12</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">50%</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">
								<bold>S</bold>
							</td>
							<td align="center">1</td>
							<td align="center">4</td>
							<td align="center">25</td>
							<td align="center">3</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">&#x2013;</td>
							<td align="center">38%</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn>
						<p>MIRU-VNTR: Mycobacterial Interspersed Repetitive Units Variable Number Tandem Repeat; S strain (Susceptible), M strain (Resistant)</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Based on <xref ref-type="table" rid="T0004">Table 4</xref> in both sensitive and resistant drug loci 10, 16 and 26 had the most allelic profile between the studied loci. Also loci 2, 4, 20 and 24 had the least allelic difference between all loci.</p>
		</sec>
		<sec id="S0014" sec-type="discussion">
			<title>Discussion</title>
			<p>This study showed that &#x201C;MIRU-VNTR&#x201D; had low discriminatory power when it is used alone in comparison to when it is used together with Spoligotyping. Using both techniques together decreased the unknown genetic strains to about 10% in sensitive strains and 20% in drug resistant strains. Therefore, for epidemiological studies we suggest to use &#x201C;MIRU-VNTR and Spoligotyping&#x201D; techniques together.</p>
			<p>DNA fingerprinting of <italic>M. tuberculosis</italic> isolates is useful for determining the extent of recent transmission in a community and the potential risk factors for recent transmission for identifying previously unsuspected transmission, monitoring the transmission of drug-resistant strains, and confirming laboratory cross contamination (<xref ref-type="bibr" rid="CIT0016">16</xref>).</p>
			<p>In this study, based on MIRU-VNTR analysis the obtained genetic patterns of sensitive and resistance strains were as follows: 13.3% and 16.6% of them belonged to Haarlem, 10% and 16.6% of the second group belonged to Dehli/ CAS (<xref ref-type="fig" rid="F0002">Figure 2A</xref>). When both &#x201C;MIRU-VNTR and Spoligotyping&#x201D; techniques were used together, the patterns of Haarlem family reduced about 23% and Dehli/CAS was increased about 26% (<xref ref-type="fig" rid="F0002">Figure 2B</xref>). These strains are the most frequent patterns in Iranian population, as shown by Farnia et al in 2004 (<xref ref-type="bibr" rid="CIT0017">17</xref>).</p>
			<fig id="F0002">
				<label>Figure 2</label>
				<caption>
					<p>A) Genotypic and characteristic of resistance and sensitive strains. MIRU-VNTR are from the MIRU-VNTR plus database, MIRU-VNTR; Mycobacterial Interspersed Repetitive Units Variable Number Tandem Repeat; B) Genotypic and other characteristics of resistant and sensitivity strains. Spoligotyping and MIRU-VNTR from the MIRU-VNTR plus database, MIRU-VNTR; Mycobacterial Interspersed Repetitive Units Variable Number Tandem Repeat; RIF: Rifampicin, INH: Isoniazid</p>
				</caption>
				<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJMB-2-145-g002.tif" alt-version="no"/>
			</fig>
			<p>In another study by Dou et al in 2002, out of 356 isolates, 66 could not be identified by Spoligotyping, but when he applied both &#x201C;MIRU-VNTR and Spoligotyping&#x201D;, the number reduced to 30 isolates (<xref ref-type="bibr" rid="CIT0018">18</xref>). In a study conducted by Goyal and co-workers (on 167 patients), Spoligotyping technique identified only genetic pattern of 67 strains but when they used RFLP and Spoligotyping together, the genetic patterns of 135 strains were identified (<xref ref-type="bibr" rid="CIT0019">19</xref>).</p>
			<p>In this study the allele differences were accounted too. According to Sola et al loci 10, 16, 23, 26 and 40 were introduced as loci with the most allele polymorphism and loci 4, 20, 24 and 27 as the most poorly discriminated loci (<xref ref-type="bibr" rid="CIT0020">20</xref>). Another study conducted by Roring et al in 2002 demonstrated that by using another locus [(VNTR) which their polymorphism is more], we can identify genetic patterns of strains and their families more carefully. In a study by Romano et al, RFLP and Spoligotyping were used to determine the molecular epidemiology of the strains (<xref ref-type="bibr" rid="CIT0021">21</xref>). In the research performed by Skuce et al it was shown that techniques like MIRU-VNTR can be replaced by IS6110 in molecular epidemiology studies (<xref ref-type="bibr" rid="CIT0022">22</xref>).</p>
		</sec>
		<sec id="S0015" sec-type="conclusion">
			<title>Conclusion</title>
			<p>The results showed that in molecular epidemiologic studies of <italic>MTB</italic>, using the two techniques of &#x201C;MIRU-VNTR and Spoligotyping&#x201D; simultaneously could disseminate the genetic patterns of <italic>MTB</italic> strains in a much better manner as compared to using only &#x201C;MIRU-VNTR&#x201D; technique.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgement</title>
			<p>This study was supported by the Mycobacteriology Research Center of Shahid Beheshti University of Medical Sciences.</p>
		</ack>
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