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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2023.1119805</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Polymorphisms of the <italic>MxA</italic> and <italic>MxB</italic> genes are associated with biochemical indices and viral subtypes in Yunnan HCV patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Mengzhu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Geng</surname>
<given-names>Jiawei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Peng</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1069067"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yue</surname>
<given-names>Ming</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1260882"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xia</surname>
<given-names>Xueshan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>A-Mei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1864547"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Faculty of Life Science and Technology, Kunming University of Science and Technology</institution>, <addr-line>Kunming, Yunnan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Infectious Diseases, The First People's Hospital of Yunnan Province</institution>, <addr-line>Yunnan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Public Health, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Kunming Medical University</institution>, <addr-line>Yunnan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Bin Zhou, Nanjing Agricultural University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jianchao Wei, Chinese Academy of Agricultural Sciences, China; Limin Chen, Chinese Academy of Medical Sciences and Peking Union Medical College, China; Li Huang, Chinese Academy of Agricultural Sciences, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: A-Mei Zhang, <email xlink:href="mailto:zam1980@yeah.net">zam1980@yeah.net</email>; Xueshan Xia, <email xlink:href="mailto:oliverxia2000@aliyun.com">oliverxia2000@aliyun.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Virus and Host, a section of the journal Frontiers in Cellular and Infection Microbiology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1119805</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 He, Liu, Geng, Liu, Huang, Yue, Xia and Zhang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>He, Liu, Geng, Liu, Huang, Yue, Xia and Zhang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Hepatitis C virus (HCV) infection was the primary reason causing critical hepatic Q7 diseases. Although direct-acting antiviral agents (DAA) were widely used in clinics, anti-drug mutation, the outcome of patients with different viral subtypes, and recurrence suggested that HCV pathogenic mechanism should be studied further. HCV infection, replication, and outcome were influenced by the IFNL4 and itsdownstream genes (MxA and MxB). However, whether genetic polymorphisms of these genes played necessary roles required verification in the Yunnan population.</p>
</sec>
<sec>
<title>Methods and Results</title>
<p>After analyzing the genotypes and allele frequencies of seven single nucleotide polymorphisms (SNP), we found the association between the genotype and allele frequencies of rs11322783 in the IFNL4 gene and HCV infection in Yunnan population. Furthermore, the genetic polymorphisms of the MxA and MxB genescould influence liver function of HCV patients. The indirect bilirubin (IBIL) and albumin (ALB) levels showed significant differences among HCV patients, who carried various genotypes. The IBIL levels were associated with genotypes of rs17000900 (P= 0.025) and rs2071430 (P= 0.037) in the MxA gene, and ALB levels were associated with genotypes of rs2838029 (P= 0.010) in the MxB gene. Similarly, the genotypes of SNPs also showed significant difference in patients infected with subtype 3a (P=0.035) and 2a (P=0.034). However, no association was identified between expression level and SNPs of the MxA and MxB genes. Furthermore, HCV subtype 3b was found to be the predominantly epidemic strain in Yunnan Province. </p>
</sec>
<sec>
<title>Conclusion</title>
<p>In conclusion, the association between biochemical indices/HCV subtypes and SNPs in the MxA and MxB genes was identified in Yunnan HCV population. </p>
</sec>
</abstract>
<kwd-group>
<kwd>HCV infection</kwd>
<kwd>biochemical indices</kwd>
<kwd>subtype</kwd>
<kwd>
<italic>MxA</italic>
</kwd>
<kwd>
<italic>MxB</italic>
</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="18"/>
<page-count count="8"/>
<word-count count="3793"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Hepatitis C virus (HCV) infection could lead to critical hepatitis diseases, such as cirrhosis and hepatocellular carcinoma (HCC). Although direct-acting antivirals (DAAs) drugs are used worldwide, approximately 1.75 million new HCV infections occurred in 2015 <xref ref-type="bibr" rid="B13">(W.H.O, 2017)</xref>. The mortality trends of infectious hepatitis disease were increasing from 2000 to 2015, differing from other popular infectious diseases, such as human immunodeficiency virus (HIV), tuberculosis (TB), and malaria. Thus, the pathogenic mechanisms of HCV infection should be studied further.</p>
<p>Interferons (IFNs) are the common used drugs for HCV infection therapy, and they could active Jak/STAT signaling pathway and further induce some interferon-stimulated genes (ISGs) (<xref ref-type="bibr" rid="B6">Heim and Thimme, 2014</xref>). The expression and function of Interferon lambda 4 (<italic>IFNL4</italic>) gene is controlled by its genetically transcriptional regulation (<xref ref-type="bibr" rid="B18">Zhou et&#xa0;al., 2020</xref>). The <italic>MyXovirus resistance</italic> (<italic>Mx</italic>) genes belongs to the ISGs family. Firstly, the <italic>MyXovirus resistance 1</italic> (<italic>MxA</italic> or <italic>Mx1</italic>) gene was identified as one of the main protected factors for mice against influenza viruses (<xref ref-type="bibr" rid="B8">Lindenmann, 1964</xref>). Then, it is investigated that the <italic>MxA</italic> gene belonged to natural immune system and had wide-spectra anti-virus activity, which is induced by interferon (<xref ref-type="bibr" rid="B4">Haller et&#xa0;al., 2018</xref>). Although the antiviral activity of the <italic>MxB</italic> gene is limited compared to the <italic>MxA</italic> gene, it could interfere with HCV RNA replication by interacting with the NS5A protein (<xref ref-type="bibr" rid="B14">Yi et&#xa0;al., 2019</xref>). These reports suggested the <italic>Mxs</italic> genes were necessary natural factors for inhibiting HCV in patients.</p>
<p>To date, the genetic polymorphisms of the <italic>MxA</italic> gene have been reported to be associated with HCV infection or clearance of those with HCV infection (<xref ref-type="bibr" rid="B3">Garcia-Alvarez et&#xa0;al., 2017</xref>), but whether single nucleotide polymorphisms (SNPs) of the <italic>MxB</italic> gene could influence HCV infection, biochemical characteristics, or outcome of HCV patients are not clear. In this study, the SNPs of the <italic>MxA</italic> and <italic>MxB</italic> genes in HCV patients and controls from Yunnan Province were analyzed.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Individuals and clinical data</title>
<p>We recruited 347 patients with chronic HCV infection and 448 normal controls from the First People&#x2019;s Hospital of Yunnan Province from 2019 to 2022. 3 mL of whole blood was collected from each individual. The patients were diagnosed as chronic HCV infected persons by the symptoms and liver function test. All HCV-infected patients were identified to be anti-HCV positive by HCV ELISA Kit (ORTHO, USA), and all patients were without any medical treatment when we collected the samples. All patients were identified without serious liver disease, such as fibrosis, cirrhosis and hepatocellular carcinoma). The basic information and liver function data of all samples [including alanine transaminase (ALT), aspartate transaminase (AST), total bilirubin (TBIL), direct bilirubin (DBIL), indirect bilirubin (IBIL), total protein (TP), albumin (ALB), globin (GLOB)] of HCV patients were collected for further analysis. Based on the clinical phenotype and biochemical indexes, all chronic HCV infected patients were identified without Hepatitis B virus (HBV) or HIV infection by using Quantitative CLIA Kit (Autobio, China) and Anti-HIV ELISA Kit (WANTAI, China). Written informed consents of the Declaration of Helsinki were obtained from all participants prior to the study. The institutional review board of Kunming University of Science and Technology approved this study.</p>
</sec>
<sec id="s2_2">
<title>HCV RNA loading quantification and genotyping</title>
<p>HCV RNA was abstracted from 100 &#xb5;L serum of patients by using TIANamp Virus RNA Kit (TIANGEN, China), and viral RNA load was quantified by using the primers and probe in our previous study (<xref ref-type="bibr" rid="B10">Song et&#xa0;al., 2019</xref>). The detection limit was set at 1,000 copies/mL. HCV RNA was further transformed as log10&#x2010;transformation. The NS5B gene of HCV was genotyped in each patient by using the method described in our previous study (<xref ref-type="bibr" rid="B16">Zhang et&#xa0;al., 2014</xref>).</p>
</sec>
<sec id="s2_3">
<title>SNP selection and genotyping</title>
<p>Genomic DNA was extracted from whole blood by using the Blood Genomic DNA Miniprep Kit (Axygen, USA). Seven tagSNPs were genotyped by using SnapShot method according to previous study (<xref ref-type="bibr" rid="B17">Zheng et&#xa0;al., 2022</xref>), including two SNPs (rs11322783 and rs117648444) in the <italic>IFNL4</italic> gene, two SNPs (rs2071430 and rs17000900) in the <italic>MxA</italic> gene and three SNPs (rs9982944, rs408825, and rs2838029) in the <italic>MxB</italic> gene,. Then, 10% of the genotyping results were further identified by using Sanger sequencing method.</p>
</sec>
<sec id="s2_4">
<title>RNA expression level detection</title>
<p>Total RNA was extracted from 200 &#xb5;L whole blood of HCV patients using the RNAsimple Total RNA Kit (TIANGEN, China). Then, the level of RNA expression of the <italic>MxA</italic> and <italic>MxB</italic> genes was detected using fluorescent quantitative real-time PCR. The primers for quantifying target genes were GTGCATTGCAGAAGGTCAGA/CTGGTGATAGGCCATCAGGT (for the <italic>MxA</italic> gene) and CAGAGGCAGCGGAATCGTAA/TGAAGCTCTAGCTCGGTGTTC (for the <italic>MxB</italic> gene). The <italic>GAPDH</italic> gene was used as the reference gene, and the primers for quantification were GGCATCCTGGGCTACACTGAG/CATACCAGGAAATGAGCTTGAC. The ChamQ SYBR<sup>&#xae;</sup> qPCR Master Mix (Vazyme, China) and Quant Gene 9600 were used to determine the RNA expression levels of the <italic>MxA</italic> and <italic>MxB</italic> genes of HCV patients.</p>
</sec>
<sec id="s2_5">
<title>Data analysis</title>
<p>The genotype and allele frequencies between HCV patients and controls are analyzed by using Chi-square text. A student t test (two tailed) was used to compare viral load between two HCV subtypes, biochemical indices among patients with different genotypes, and RNA level expression of <italic>MxA</italic> and <italic>MxB</italic> genes. The correlation analysis was used to determine the relationship between viral load of HCV and RNA level of the <italic>MxA</italic> or <italic>MxB</italic> gene (two-sided). A <italic>P</italic>-value less than 0.05 is considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>The gender ratio (male: female) was similar between HCV patient group (1.4:1) and controls (1.6:1). There were 201 males and 146 females in the HCV patients, and 275 males and 173 females in the control group. The mean age was 44.70 &#xb1; 0.89 and 40.58 &#xb1; 0.53 years in the HCV patients and controls, respectively. The genotype and allele frequencies, excluding SNP rs11322783, showed no significant difference between HCV patients and controls. Genotype &#x394;G/T of rs11322783 showed significantly lower frequency in HCV patients (0%) than that in controls (5.58%); however, the frequency of genotype TT was statistically higher in HCV patients (99.42%) than that in controls (94.20%) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Similarly, allele &#x394;G of rs11322783 was a protective factor for HCV infection in Yunnan, with a frequency of 0.58% (4/694) and 3.01% (27/896) in patients and controls, respectively. This result suggested genotype and allele of rs11322783 could influence HCV infection in the Yunnan population.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Frequencies of SNPs in the <italic>IFNL4</italic>, <italic>MxA</italic>, and <italic>MxB</italic> gene in Yunnan HCV patients and controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">SNP genotype/allele</th>
<th valign="top" align="center">HCV patients (N=347)</th>
<th valign="top" align="center">Controls (N=448)</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
<th valign="top" align="center">OR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">rs11322783 (<italic>IFNL4</italic>)</th>
</tr>
<tr>
<td valign="top" align="left">Genotype&#x394;G/&#x394;G</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.584</td>
<td valign="top" align="center">2.591 (0.300-37.63)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x394;G/T</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">0.0001 (0-0.165)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TT</td>
<td valign="top" align="center">345</td>
<td valign="top" align="center">422</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">10.63 (2.695-45.68)</td>
</tr>
<tr>
<td valign="top" align="left">Allele &#x394;G</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">27</td>
<td valign="top" rowspan="2" align="center">0.0004</td>
<td valign="top" align="center">0.187 (0.070-0.517)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T</td>
<td valign="top" align="center">690</td>
<td valign="top" align="center">869</td>
<td valign="top" align="center">5.360 (1.936-14.32)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">rs117648444 (<italic>IFNL4</italic>)</th>
</tr>
<tr>
<td valign="top" align="left">Genotype AA</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AG</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">1.109 (0.368-3.025)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GG</td>
<td valign="top" align="center">341</td>
<td valign="top" align="center">441</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">0.902 (0.331-2.718)</td>
</tr>
<tr>
<td valign="top" align="left">Allele A</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">7</td>
<td valign="top" rowspan="2" align="center">0.922</td>
<td valign="top" align="center">1.108 (0.371-3.018)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;G</td>
<td valign="top" align="center">688</td>
<td valign="top" align="center">889</td>
<td valign="top" align="center">0.903 (0.331-2.699)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">rs2071430 (<italic>MxA</italic>)</th>
</tr>
<tr>
<td valign="top" align="left">Genotype GG</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">217</td>
<td valign="top" align="center">0.675</td>
<td valign="top" align="center">0.932 (0.706-1.229)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GT</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">188</td>
<td valign="top" align="center">0.776</td>
<td valign="top" align="center">1.053 (0.793-1.396)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TT</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">0.913</td>
<td valign="top" align="center">1.057 (0.656-1.669)</td>
</tr>
<tr>
<td valign="top" align="left">Allele G</td>
<td valign="top" align="center">474</td>
<td valign="top" align="center">622</td>
<td valign="top" rowspan="2" align="center">0.672</td>
<td valign="top" align="center">0.949 (0.757-1.178)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T</td>
<td valign="top" align="center">220</td>
<td valign="top" align="center">274</td>
<td valign="top" align="center">1.054 (0.849-1.305)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">rs17000900 (<italic>MxA</italic>)</th>
</tr>
<tr>
<td valign="top" align="left">Genotype AA</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.401</td>
<td valign="top" align="center">0.589 (0.229-1.457)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AC</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">114</td>
<td valign="top" align="center">0.867</td>
<td valign="top" align="center">1.041 (0.753-1.431)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CC</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">321</td>
<td valign="top" align="center">0.966</td>
<td valign="top" align="center">1.020 (0.745-1.387)</td>
</tr>
<tr>
<td valign="top" align="left">Allele A</td>
<td valign="top" align="center">103</td>
<td valign="top" align="center">140</td>
<td valign="top" rowspan="2" align="center">0.719</td>
<td valign="top" align="center">0.941 (0.716-1.239)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;C</td>
<td valign="top" align="center">591</td>
<td valign="top" align="center">756</td>
<td valign="top" align="center">1.063 (0.807-1.397)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">rs9982944 (<italic>MxB</italic>)</th>
</tr>
<tr>
<td valign="top" align="left">Genotype AA</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.876</td>
<td valign="top" align="center">0.930 (0.555-1.552)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AG</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">222</td>
<td valign="top" align="center">0.331</td>
<td valign="top" align="center">0.861 (0.652-1.135)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GG</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">186</td>
<td valign="top" align="center">0.253</td>
<td valign="top" align="center">1.191 (0.900-1.578)</td>
</tr>
<tr>
<td valign="top" align="left">Allele A</td>
<td valign="top" align="center">217</td>
<td valign="top" align="center">302</td>
<td valign="top" align="center">0.330</td>
<td valign="top" align="center">0.895 (0.724-1.103)</td>
</tr>
<tr>
<td valign="top" align="left">G</td>
<td valign="top" align="center">477</td>
<td valign="top" align="center">594</td>
<td valign="top" align="center"/>
<td valign="top" align="center">1.118 (0.907-1.382)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">rs408825 (<italic>MxB</italic>)</th>
</tr>
<tr>
<td valign="top" align="left">Genotype CC</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.659</td>
<td valign="top" align="center">0.782 (0.354-1.619)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CT</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">0.149</td>
<td valign="top" align="center">1.263 (0.940-1.696)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TT</td>
<td valign="top" align="center">217</td>
<td valign="top" align="center">299</td>
<td valign="top" align="center">0.247</td>
<td valign="top" align="center">0.832 (0.622-1.114)</td>
</tr>
<tr>
<td valign="top" align="left">Allele C</td>
<td valign="top" align="center">141</td>
<td valign="top" align="center">167</td>
<td valign="top" rowspan="2" align="center">0.438</td>
<td valign="top" align="center">1.113 (0.870-1.431)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T</td>
<td valign="top" align="center">553</td>
<td valign="top" align="center">729</td>
<td valign="top" align="center">0.899 (0.699-1.149)</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">rs2838029 (<italic>MxB</italic>)</th>
</tr>
<tr>
<td valign="top" align="left">Genotype AA</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.477</td>
<td valign="top" align="center">0.514 (0.102-2.390)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AG</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">0.543</td>
<td valign="top" align="center">1.159 (0.765-1.739)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GG</td>
<td valign="top" align="center">294</td>
<td valign="top" align="center">385</td>
<td valign="top" align="center">0.705</td>
<td valign="top" align="center">0.908 (0.618-1.348)</td>
</tr>
<tr>
<td valign="top" align="left">Allele A</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">68</td>
<td valign="top" rowspan="2" align="center">0.878</td>
<td valign="top" align="center">1.048 (0.727-1.520)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;G</td>
<td valign="top" align="center">639</td>
<td valign="top" align="center">828</td>
<td valign="top" align="center">0.954 (0.658-1.376)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>347 chronic HCV infected persons and 448 controls were used to analyze genotypes and allele frequencies of seven SNPs.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The biochemical data was analyzed among 270 HCV patients with different genotypes of each SNP (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The IBIL levels showed a significant difference among various genotypes of two SNPs in the <italic>MxA</italic> gene of HCV patients. In HCV patients with genotype AC of rs17000900 or genotype GT of rs2071430, the IBIL level were significantly higher than that in the other patients. The ALB levels were much lower in HCV patients carried genotype AA and AG of rs2838029 than other patients. These results suggested genetic polymorphisms of the <italic>MxA</italic> and <italic>MxB</italic> genes could influence the liver function of HCV patients.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Biochemical indexes analysis among HCV patients with various SNP genotypes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Biochemical features (unit)</th>
<th valign="top" colspan="4" align="center">rs17000900</th>
<th valign="top" colspan="4" align="center">rs2071430</th>
</tr>
<tr>
<th valign="top" align="center">AA</th>
<th valign="top" align="center">AC</th>
<th valign="top" align="center">CC</th>
<th valign="top" align="center">
<italic>P</italic>- value</th>
<th valign="top" align="center">GG</th>
<th valign="top" align="center">GT</th>
<th valign="top" align="center">TT</th>
<th valign="top" align="center">
<italic>P</italic>- value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">88.67 &#xb1; 21.70</td>
<td valign="top" align="center">10.7.4 &#xb1; 30.30</td>
<td valign="top" align="center">72.11 &#xb1; 7.05</td>
<td valign="top" align="center">0.271</td>
<td valign="top" align="center">76.11 &#xb1; 10.48</td>
<td valign="top" align="center">90.14 &#xb1; 19.53</td>
<td valign="top" align="center">76.13 &#xb1; 8.80</td>
<td valign="top" align="center">0.775</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">115.2 &#xb1; 23.16</td>
<td valign="top" align="center">124.0 &#xb1; 28.82</td>
<td valign="top" align="center">91.13 &#xb1; 9.71</td>
<td valign="top" align="center">0.371</td>
<td valign="top" align="center">92.42 &#xb1; 14.29</td>
<td valign="top" align="center">105.5 &#xb1; 18.69</td>
<td valign="top" align="center">115.4 &#xb1; 14.95</td>
<td valign="top" align="center">0.742</td>
</tr>
<tr>
<td valign="top" align="left">TBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">15.60 &#xb1; 4.03</td>
<td valign="top" align="center">28.06 &#xb1; 5.61</td>
<td valign="top" align="center">19.97 &#xb1; 2.37</td>
<td valign="top" align="center">0.262</td>
<td valign="top" align="center">19.24 &#xb1; 1.99</td>
<td valign="top" align="center">27.11 &#xb1; 4.74</td>
<td valign="top" align="center">13.87 &#xb1; 1.43</td>
<td valign="top" align="center">0.120</td>
</tr>
<tr>
<td valign="top" align="left">DBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">7.27 &#xb1; 2.22</td>
<td valign="top" align="center">14.71 &#xb1; 4.18</td>
<td valign="top" align="center">10.57 &#xb1; 1.86</td>
<td valign="top" align="center">0.533</td>
<td valign="top" align="center">9.86 &#xb1; 1.57</td>
<td valign="top" align="center">14.82 &#xb1; 3.62</td>
<td valign="top" align="center">6.23 &#xb1; 0.69</td>
<td valign="top" align="center">0.228</td>
</tr>
<tr>
<td valign="top" align="left">IBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">8.33 &#xb1; 1.83</td>
<td valign="top" align="center">13.35 &#xb1; 1.81</td>
<td valign="top" align="center">9.47 &#xb1; 0.57</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">9.49 &#xb1; 0.56</td>
<td valign="top" align="center">12.29 &#xb1; 1.34</td>
<td valign="top" align="center">7.64 &#xb1; 0.78</td>
<td valign="top" align="center">0.037</td>
</tr>
<tr>
<td valign="top" align="left">TP (g/L)</td>
<td valign="top" align="center">74.33 &#xb1; 3.05</td>
<td valign="top" align="center">74.29 &#xb1; 0.91</td>
<td valign="top" align="center">73.98 &#xb1; 0.46</td>
<td valign="top" align="center">0.940</td>
<td valign="top" align="center">74.14 &#xb1; 0.55</td>
<td valign="top" align="center">73.93 &#xb1; 0.69</td>
<td valign="top" align="center">74.36 &#xb1; 1.23</td>
<td valign="top" align="center">0.944</td>
</tr>
<tr>
<td valign="top" align="left">ALB (g/L)</td>
<td valign="top" align="center">39.17 &#xb1; 2.44</td>
<td valign="top" align="center">40.85 &#xb1; 0.71</td>
<td valign="top" align="center">40.72 &#xb1; 0.40</td>
<td valign="top" align="center">0.781</td>
<td valign="top" align="center">40.63 &#xb1; 0.52</td>
<td valign="top" align="center">40.78 &#xb1; 0.52</td>
<td valign="top" align="center">40.86 &#xb1; 1.04</td>
<td valign="top" align="center">0.971</td>
</tr>
<tr>
<td valign="top" align="left">GOLB (g/L)</td>
<td valign="top" align="center">35.17 &#xb1; 2.60</td>
<td valign="top" align="center">33.47 &#xb1; 0.68</td>
<td valign="top" align="center">33.34 &#xb1; 0.41</td>
<td valign="top" align="center">0.737</td>
<td valign="top" align="center">33.63 &#xb1; 0.55</td>
<td valign="top" align="center">33.20 &#xb1; 0.50</td>
<td valign="top" align="center">33.43 &#xb1; 1.03</td>
<td valign="top" align="center">0.845</td>
</tr>
<tr>
<td valign="bottom" rowspan="2" align="left">Biochemical features (unit)</td>
<td valign="top" colspan="4" align="center">rs9982944</td>
<td valign="top" colspan="4" align="center">rs408825</td>
</tr>
<tr>
<td valign="top" align="center">AA</td>
<td valign="top" align="center">AG</td>
<td valign="top" align="center">GG</td>
<td valign="top" align="center">
<italic>P</italic>- value</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">TT</td>
<td valign="top" align="center">
<italic>P</italic>- value</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">74.65 &#xb1; 10.88</td>
<td valign="top" align="center">85.78 &#xb1; 17.83</td>
<td valign="top" align="center">79.85 &#xb1; 11.04</td>
<td valign="top" align="center">0.929</td>
<td valign="top" align="center">77.33 &#xb1; 17.05</td>
<td valign="top" align="center">100.6 &#xb1; 23.89</td>
<td valign="top" align="center">72.00 &#xb1; 7.98</td>
<td valign="top" align="center">0.379</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">97.77 &#xb1; 17.90</td>
<td valign="top" align="center">102.5 &#xb1; 17.06</td>
<td valign="top" align="center">99.30 &#xb1; 15.07</td>
<td valign="top" align="center">0.986</td>
<td valign="top" align="center">83.67 &#xb1; 17.47</td>
<td valign="top" align="center">115.1 &#xb1; 22.52</td>
<td valign="top" align="center">93.46 &#xb1; 11.17</td>
<td valign="top" align="center">0.595</td>
</tr>
<tr>
<td valign="top" align="left">TBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">15.65 &#xb1; 2.19</td>
<td valign="top" align="center">23.52 &#xb1; 4.21</td>
<td valign="top" align="center">21.83 &#xb1; 2.41</td>
<td valign="top" align="center">0.640</td>
<td valign="top" align="center">20.09 &#xb1; 3.07</td>
<td valign="top" align="center">27.72 &#xb1; 5.77</td>
<td valign="top" align="center">19.10 &#xb1; 1.76</td>
<td valign="top" align="center">0.202</td>
</tr>
<tr>
<td valign="top" align="left">DBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">7.11 &#xb1; 1.11</td>
<td valign="top" align="center">12.84 &#xb1; 3.26</td>
<td valign="top" align="center">11.21 &#xb1; 1.78</td>
<td valign="top" align="center">0.655</td>
<td valign="top" align="center">9.88 &#xb1; 2.39</td>
<td valign="top" align="center">16.50 &#xb1; 4.62</td>
<td valign="top" align="center">9.04 &#xb1; 1.11</td>
<td valign="top" align="center">0.129</td>
</tr>
<tr>
<td valign="top" align="left">IBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">8.54 &#xb1; 1.18</td>
<td valign="top" align="center">10.74 &#xb1; 1.09</td>
<td valign="top" align="center">10.66 &#xb1; 0.85</td>
<td valign="top" align="center">0.639</td>
<td valign="top" align="center">10.21 &#xb1; 1.03</td>
<td valign="top" align="center">11.22 &#xb1; 1.25</td>
<td valign="top" align="center">10.14 &#xb1; 0.78</td>
<td valign="top" align="center">0.731</td>
</tr>
<tr>
<td valign="top" align="left">TP (g/L)</td>
<td valign="top" align="center">74.13 &#xb1; 1.30</td>
<td valign="top" align="center">74.23 &#xb1; 0.60</td>
<td valign="top" align="center">73.89 &#xb1; 0.63</td>
<td valign="top" align="center">0.922</td>
<td valign="top" align="center">75.11 &#xb1; 2.48</td>
<td valign="top" align="center">73.56 &#xb1; 0.76</td>
<td valign="top" align="center">74.30 &#xb1; 0.49</td>
<td valign="top" align="center">0.621</td>
</tr>
<tr>
<td valign="top" align="left">ALB (g/L)</td>
<td valign="top" align="center">39.48 &#xb1; 1.23</td>
<td valign="top" align="center">40.96 &#xb1; 0.46</td>
<td valign="top" align="center">40.71 &#xb1; 0.56</td>
<td valign="top" align="center">0.509</td>
<td valign="top" align="center">40.22 &#xb1; 2.07</td>
<td valign="top" align="center">40.11 &#xb1; 0.60</td>
<td valign="top" align="center">41.09 &#xb1; 0.43</td>
<td valign="top" align="center">0.403</td>
</tr>
<tr>
<td valign="top" align="left">GOLB (g/L)</td>
<td valign="top" align="center">34.61 &#xb1; 1.16</td>
<td valign="top" align="center">33.24 &#xb1; 0.49</td>
<td valign="top" align="center">33.38 &#xb1; 0.55</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">34.78 &#xb1; 2.74</td>
<td valign="top" align="center">33.51 &#xb1; 0.658</td>
<td valign="top" align="center">33.30 &#xb1; 0.40</td>
<td valign="top" align="center">0.733</td>
</tr>
<tr>
<td valign="bottom" rowspan="2" align="left">Biochemical features (unit)</td>
<td valign="top" colspan="4" align="center">rs2838029</td>
<td valign="top" rowspan="10" colspan="4" align="center"/>
</tr>
<tr>
<td valign="top" align="center">AA &amp; AG</td>
<td valign="top" colspan="2" align="center">GG</td>
<td valign="top" align="center">
<italic>P</italic>- value</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">106.6 &#xb1; 42.92</td>
<td valign="top" colspan="2" align="center">77.25 &#xb1; 7.90</td>
<td valign="top" align="center">0.961</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">112.5 &#xb1; 39.99</td>
<td valign="top" colspan="2" align="center">98.30 &#xb1; 9.73</td>
<td valign="top" align="center">0.794</td>
</tr>
<tr>
<td valign="top" align="left">TBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">25.73 &#xb1; 5.53</td>
<td valign="top" colspan="2" align="center">21.40 &#xb1; 2.50</td>
<td valign="top" align="center">0.517</td>
</tr>
<tr>
<td valign="top" align="left">DBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">14.90 &#xb1; 4.57</td>
<td valign="top" colspan="2" align="center">11.05 &#xb1; 1.89</td>
<td valign="top" align="center">0.581</td>
</tr>
<tr>
<td valign="top" align="left">IBIL (&#xb5;mol/L)</td>
<td valign="top" align="center">10.83 &#xb1; 1.26</td>
<td valign="top" colspan="2" align="center">10.45 &#xb1; 0.732</td>
<td valign="top" align="center">0.599</td>
</tr>
<tr>
<td valign="top" align="left">TP (g/L)</td>
<td valign="top" align="center">73.31 &#xb1; 1.33</td>
<td valign="top" colspan="2" align="center">74.22 &#xb1; 0.42</td>
<td valign="top" align="center">0.411</td>
</tr>
<tr>
<td valign="top" align="left">ALB (g/L)</td>
<td valign="top" align="center">38.88 &#xb1; 0.90</td>
<td valign="top" colspan="2" align="center">41.07 &#xb1; 0.37</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">GOLB (g/L)</td>
<td valign="top" align="center">34.40 &#xb1; 1.11</td>
<td valign="top" colspan="2" align="center">33.23 &#xb1; 0.36</td>
<td valign="top" align="center">0.498</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Biochemical indices were analyzed in 270 HCV patients with different genotypes of each SNP. The indices were expressed by mean &#xb1; SE.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In total, HCV subtypes were determined in 339 HCV patients (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Subtype 3b was the main subtype in Yunnan HCV patients occurring in 42.18% of individuals (n= 143). The frequencies of HCV subtype 3a (n= 59, 17.40%), 1b (n= 51, 15.04%), 2a (n= 45, 13.27%), and 6 (n= 40, 11.80%) were similar in Yunnan population. Only one sample belonged to subtype 5b. Although HCV viral load was detected in only 137 patients, the viral load was compared among HCV patients with different subtypes (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The results showed significantly higher viral load existed in the patients with subtype 6 than in patients with subtype 2a (<italic>P</italic>= 0.029) or 3b (<italic>P</italic>= 0.003). The viral load was statistically higher in the patients with subtype 1b than those with subtype 3b. These results suggested that the viral load of HCV patients might be affected by HCV subtypes.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The distribution of HCV subtypes in this study. Totally 339 HCV patients were used to detect HCV subtypes. The subtype 3b was dominant in Yunnan Province.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1119805-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Comparison of viral load among 137 HCV patients with different subtypes. The viral loads were transformed into log10 of the copy numbers. A <italic>P</italic> value less than 0.05 was considered as significant difference.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1119805-g002.tif"/>
</fig>
<p>The frequencies distribution of subtypes in HCV patients with different genotypes of each SNP in the <italic>MxA</italic> and <italic>MxB</italic> genes were analyzed (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). The frequency of subtype 3a was lower in patients carried genotype GG of rs9982944 (11.69%, 18/154) than in those with genotype AA (25%, 7/28) or AG (22.08%, 34/154). The frequency of subtype 2a was significantly lower in HCV patients with genotype AG of rs408825 (6.84%, 8/117) than in those with genotype AA (16.98%, 36/212) or GG (11.11%, 1/9). These results suggested the possible protective role of genotype GG of rs9982944 and genotype AG of rs408825 against HCV subtype 3b and 2a infection, respectively.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>HCV subtypes frequencies in patients carried with different SNP genotypes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">HCV subtypes</th>
<th valign="top" colspan="3" align="center">SNP Genotypes</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"/>
<td valign="top" colspan="4" align="center">rs2071430</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">GG</td>
<td valign="top" align="center">GT</td>
<td valign="top" align="center">TT</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">1b</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.150</td>
</tr>
<tr>
<td valign="top" align="left">2a</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.335</td>
</tr>
<tr>
<td valign="top" align="left">3a</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.695</td>
</tr>
<tr>
<td valign="top" align="left">3b</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.310</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.354</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" colspan="4" align="center">rs17000900</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">AA</td>
<td valign="top" align="center">AC</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">1b</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.362</td>
</tr>
<tr>
<td valign="top" align="left">2a</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">0.318</td>
</tr>
<tr>
<td valign="top" align="left">3a</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.325</td>
</tr>
<tr>
<td valign="top" align="left">3b</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">0.121</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">0.396</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" colspan="4" align="center">rs9982944</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">AA</td>
<td valign="top" align="center">AG</td>
<td valign="top" align="center">GG</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">1b</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">0.334</td>
</tr>
<tr>
<td valign="top" align="left">2a</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">0.288</td>
</tr>
<tr>
<td valign="top" align="left">3a</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" align="left">3b</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">0.434</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">0.098</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" colspan="4" align="center">rs408825</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">GG</td>
<td valign="top" align="center">AG</td>
<td valign="top" align="center">AA</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">1b</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0.732</td>
</tr>
<tr>
<td valign="top" align="left">2a</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">0.034</td>
</tr>
<tr>
<td valign="top" align="left">3a</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0.873</td>
</tr>
<tr>
<td valign="top" align="left">3b</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">0.489</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" colspan="4" align="center">rs2838029</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">AA</td>
<td valign="top" align="center">AG</td>
<td valign="top" align="center">GG</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">1b</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">0.256</td>
</tr>
<tr>
<td valign="top" align="left">2a</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">0.434</td>
</tr>
<tr>
<td valign="top" align="left">3a</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">0.688</td>
</tr>
<tr>
<td valign="top" align="left">3b</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">0.251</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">0.349</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HCV subtypes were studied in 339 HCV patients with different genotypes of each SNP.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>When comparing the RNA expression level of the <italic>MxA</italic> gene and <italic>MxB</italic> gene in the patients with various genotypes of each SNP of the corresponding gene (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>), no significant difference was identified. Similarly, no correlation was identified between the RNA expression level of the <italic>MxA</italic> gene (r= 0.083, <italic>P</italic>= 0.343) or the <italic>MxB</italic> gene (r= 0.036, <italic>P</italic>= 0.691) and the viral load of HCV patients.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>RNA expressing level of the <italic>MxA</italic> and <italic>MxB</italic> gene in HCV patients with various genotypes of these two genes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Gene</th>
<th valign="top" colspan="3" align="center">RNA expressing level in various genotypes</th>
<th valign="top" align="center">
<italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">rs17000900</td>
<td valign="top" align="center">AA</td>
<td valign="top" align="center">AC</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>MxA</italic>
</td>
<td valign="bottom" align="center">3.461 &#xb1; 0.696</td>
<td valign="bottom" align="center">3.076 &#xb1; 0.321</td>
<td valign="bottom" align="center">2.573 &#xb1; 0.225</td>
<td valign="top" align="center">0.386</td>
</tr>
<tr>
<td valign="top" align="left">rs2071430</td>
<td valign="top" align="center">GG</td>
<td valign="top" align="center">GT</td>
<td valign="top" align="center">TT</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>MxA</italic>
</td>
<td valign="bottom" align="center">2.541 &#xb1; 0.296</td>
<td valign="bottom" align="center">2.930 &#xb1; 0.210</td>
<td valign="bottom" align="center">3.244 &#xb1; 0.455</td>
<td valign="top" align="center">0.332</td>
</tr>
<tr>
<td valign="top" align="left">rs9982944</td>
<td valign="top" align="center">AA</td>
<td valign="top" align="center">AG</td>
<td valign="top" align="center">GG</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>MxB</italic>
</td>
<td valign="bottom" align="center">7.401 &#xb1; 0.910</td>
<td valign="bottom" align="center">6.511 &#xb1; 0.374</td>
<td valign="bottom" align="center">6.209 &#xb1; 0.442</td>
<td valign="top" align="center">0.495</td>
</tr>
<tr>
<td valign="top" align="left">rs408825</td>
<td valign="top" align="center">CC</td>
<td valign="top" align="center">CT</td>
<td valign="top" align="center">TT</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>MxB</italic>
</td>
<td valign="bottom" align="center">7.022 &#xb1; 2.344</td>
<td valign="bottom" align="center">6.463 &#xb1; 0.387</td>
<td valign="bottom" align="center">6.460 &#xb1; 0.375</td>
<td valign="top" align="center">0.955</td>
</tr>
<tr>
<td valign="top" align="left">rs2838029</td>
<td valign="bottom" align="center">AA</td>
<td valign="bottom" align="center">AG</td>
<td valign="bottom" align="center">GG</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<italic>MxB</italic>
</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="bottom" align="center">6.372 &#xb1; 0.508</td>
<td valign="bottom" align="center">6.495 &#xb1; 0.312</td>
<td valign="top" align="center">0.874</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Although over 90% of HCV patients could be cured by using DAA, some were still treated by using IFN-&#x3b1; combined Ribavirin owing to the high price of DAA and anti-drug mutation of DAA. Thus, the mechanism of IFN against HCV was necessary to further study. IFN-&#x3b1; could activate the Jak-STAT signaling pathway and further induce MxA production, which could inhibit HCV replication (<xref ref-type="bibr" rid="B11">Stevenson et&#xa0;al., 2011</xref>). The MxB belongs to the same family as MxA and plays wide anti-virus roles. However, reports regarding how MxB inhibited HCV replication were few. Li et&#xa0;al. found that MxB competitively interacted with NS5A of HCV and reduced the combination between NS5A and CypA, which provided formation of HCV infection (<xref ref-type="bibr" rid="B7">Li et&#xa0;al., 2022</xref>). These results suggested the importance of MxA and MxB in inhibiting HCV infection and replication.</p>
<p>The genetic polymorphisms of the <italic>MxA</italic> gene were considered to influence HCV infection, viral clearance, and outcome in many studies (<xref ref-type="bibr" rid="B5">Hassany et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Zang et&#xa0;al., 2018</xref>), but no association study was performed between SNPs of the <italic>MxB</italic> gene and Chinese HCV patients. In this study, although no association was identified between SNPs of the <italic>MxA</italic> and <italic>MxB</italic> genes with HCV infection in the Yunnan population, HCV subtypes and biochemical indices demonstrated significant differences among patients with various genotypes. Zang et&#xa0;al. reported that genotype TT of rs2071430 in the <italic>MxA</italic> gene preferred to induce patients into chronic HCV infection (<xref ref-type="bibr" rid="B15">Zang et&#xa0;al., 2018</xref>). In Egyptian and Japanese HCV patients, the promoter SNPs of the <italic>MxA</italic> gene were considered independently influenced factors in response to IFN therapy (<xref ref-type="bibr" rid="B12">Suzuki et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B5">Hassany et&#xa0;al., 2017</xref>).</p>
<p>In liver allograft patients with or without HCV infection, the expression level of the <italic>MxA</italic> gene was positively associated with AST levels (&gt;40 U/L) in patients&#x2019; liver biopsies (<xref ref-type="bibr" rid="B2">Borgogna et&#xa0;al., 2009</xref>). SNP at nt-88 of the <italic>MxA</italic> gene was identified to be an independent determining factor for outcome of IFN therapy (<xref ref-type="bibr" rid="B12">Suzuki et&#xa0;al., 2004</xref>). Similarly, genotype TT of rs2071430 in the <italic>MxA</italic> gene influenced HCV infection chronicity of patients (<xref ref-type="bibr" rid="B15">Zang et&#xa0;al., 2018</xref>). Similarly, we found that genotype GT of rs2071430 was associated with high IBIL levels of patients. These suggested that genetic polymorphisms of the <italic>MxA</italic> gene might influence the pathogenic progress and outcome of patients. To the best of our knowledge, this was the first study to identify the association between genetic polymorphisms of the <italic>MxB</italic> gene and biochemical indices and subtypes of HCV patients.</p>
<p>The genotypes of rs11322783 in the <italic>IFNL4</italic> gene were widely reported as an important host genetic factor influencing viral clearance and outcome of HCV patients (<xref ref-type="bibr" rid="B1">Aka et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B9">O'Brien et&#xa0;al., 2015</xref>). The allele &#x394;G and T of rs11322783 were found to play protective and risk roles in HCV infection. However, we could not analyze the association between genotypes of rs11322783 and biochemical indices of patients owing to the few numbers of patients with genotype &#x394;G/&#x394;G. These studies suggested that SNPs of the <italic>IFNL4</italic> gene could influence HCV infection, disease progress, and treatment effect.</p>
<p>In summary, we firstly identified that genetic polymorphisms of the <italic>MxA</italic> and <italic>MxB</italic> genes were associated with biochemical indices and HCV subtypes of patients in Yunnan.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by The institutional review board of Kunming University of Science and Technology approved this study. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>A-MZ and XX designed this study. MH and ML performed the experiments. JG, PH and MY collected the samples. A-MZ and LL analyzed the data. A-MZ and MH prepared the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study is supported by the National Natural Science Foundation of China (32160148), Leading Reserve Talents of Academy and Science and Technology in Yunnan Province (2019HB002), and Yunnan Ten Thousand Talents Plan Young &amp; Elite Talents Project.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all the participants in this study. This study is supported by the National Natural Science Foundation of China (32160148), Leading Reserve Talents of Academy and Science and Technology in Yunnan Province (2019HB002), and Yunnan Ten Thousand Talents Plan Young &amp; Elite Talents Project. </p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2023.1119805/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2023.1119805/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Table_2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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