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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ETM</journal-id>
<journal-title-group>
<journal-title>Experimental and Therapeutic Medicine</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-0981</issn>
<issn pub-type="epub">1792-1015</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/etm.2016.3375</article-id>
<article-id pub-id-type="publisher-id">ETM-0-0-3375</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Ratio of microRNA-122/155 in isoniazid-induced acute liver injury in mice</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Song</surname><given-names>Lei</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref>
<xref rid="af2-etm-0-0-3375" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Zhongrui</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Jinling</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Xuebin</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>He</surname><given-names>Lei</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Shi</surname><given-names>Zhe</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Gao</surname><given-names>Li</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author"><name><surname>Feng</surname><given-names>Fumin</given-names></name>
<xref rid="af1-etm-0-0-3375" ref-type="aff">1</xref>
<xref rid="c1-etm-0-0-3375" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-etm-0-0-3375"><label>1</label>Key Laboratory of Coal Mine Health and Safety, School of Public Health, North China University of Science and Technology, Tangshan, Hebei 063000, P.R. China</aff>
<aff id="af2-etm-0-0-3375"><label>2</label>Bayan Nur Center for Disease Control and Prevention, Bayan Nur, Inner Mongolia 015000, P.R. China</aff>
<author-notes>
<corresp id="c1-etm-0-0-3375"><italic>Correspondence to</italic>: Professor Fumin Feng, Key Laboratory of Coal Mine Health and Safety, School of Public Health, North China University of Science and Technology, 57 Jian-She Road, Tangshan, Hebei 063000, P.R. China, E-mail: <email>fm_feng@sina.com</email></corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>08</month>
<year>2016</year></pub-date>
<pub-date pub-type="epub">
<day>20</day>
<month>05</month>
<year>2016</year></pub-date>
<volume>12</volume>
<issue>2</issue>
<fpage>889</fpage>
<lpage>894</lpage>
<history>
<date date-type="received"><day>16</day><month>05</month><year>2015</year></date>
<date date-type="accepted"><day>15</day><month>01</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Song et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Liver injury is a major hindrance to the treatment of tuberculosis (TB) patients due to the primary side effects associated with anti-TB drugs. Several investigations have identified sensitive biomarkers for the early diagnosis of anti-TB drug-induced liver injury (ADLI), including the use of microRNAs (miRNAs/miRs). However, the association between miR-122/155 and ADLI remains unknown. Thus, the present study used reverse transcription-quantitative polymerase chain reaction to observe changes in tissue miR-122/155 expression levels during the course of liver injury in mice. Liver injury was induced by the administration of isoniazid (INH), a first-line anti-TB drug. miR-122/155 expression levels were quantified at seven time points throughout 1 day (0.25, 0.75, 1.5, 6, 12, 18 and 24 h) based on the pharmacokinetics of INH in mice. Notably, over the timecourse of INH-induced liver injury, the tissue miR-122 expression level significantly decreased at 0.25 h, which is the peak concentration time of INH, compared with the control group (P&#x003C;0.05). The change was more rapid than that of the serum aminotransferase and miR-155, which were significantly increased at 0.75 h. In addition, the pathological score correlated with the ratio of miR-122/miR-155 (r=&#x2212;0.779; P&#x003C;0.01). In conclusion, the miR-122/155 ratio may be utilized as a sensitive biomarker for ADLI, which could contribute to the early diagnosis of patients following anti-TB treatment.</p>
</abstract>
<kwd-group>
<kwd>antituberculosis drug-induced liver injury</kwd>
<kwd>epigenetics</kwd>
<kwd>microRNAs</kwd>
<kwd>microRNA-122</kwd>
<kwd>microRNA-155</kwd>
<kwd>isoniazid</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Tuberculosis (TB), which is a chronic infectious disease caused by <italic>Mycobacterium tuberculosis</italic>, is a global burden, with 8.7 million new cases and 1.4 million mortalities reported in 2011 (<xref rid="b1-etm-0-0-3375" ref-type="bibr">1</xref>). Anti-TB drug-induced liver injury (ADLI) is a severe adverse effect of TB treatment and may negatively affect treatment compliance.</p>
<p>Isoniazid (INH) is a first-line therapy for the treatment of TB, however, hepatotoxicity is a frequently observed side effect of INH that may progress into liver cirrhosis (<xref rid="b2-etm-0-0-3375" ref-type="bibr">2</xref>).</p>
<p>The current biomarkers for liver injury [serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST)] are adequate indicators of damage or altered liver function (<xref rid="b3-etm-0-0-3375" ref-type="bibr">3</xref>). However, the aforementioned parameters are unable to conclusively identify liver injury. In addition, serum ALT and AST activity also increase following the injury of other organs, and therefore are not selective for liver injury (<xref rid="b4-etm-0-0-3375" ref-type="bibr">4</xref>). Thus, gene expression variations are preferable for the classification of hepatotoxicants (<xref rid="b5-etm-0-0-3375" ref-type="bibr">5</xref>). Our previous study used epigenetics to identify that DNA methylation is a more sensitive marker for the detection of ADLI (<xref rid="b6-etm-0-0-3375" ref-type="bibr">6</xref>). Furthermore, recent studies have revealed that microRNA (miRNA/miR) may be used as a novel biomarker for mRNA regulatory genes (<xref rid="b7-etm-0-0-3375" ref-type="bibr">7</xref>,<xref rid="b8-etm-0-0-3375" ref-type="bibr">8</xref>).</p>
<p>miRNAs are small (18&#x2013;25 nt) endogenous, non-coding RNA molecules that regulate post-transcriptional gene expression through RNA interference, or through inhibition of translational initiation and progression (<xref rid="b9-etm-0-0-3375" ref-type="bibr">9</xref>). Over 30&#x0025; of mammalian genes are regulated by miRNA (<xref rid="b10-etm-0-0-3375" ref-type="bibr">10</xref>); therefore, miRNAs are important in a wide variety of physiological and pathological processes (<xref rid="b11-etm-0-0-3375" ref-type="bibr">11</xref>). It has been reported that miRNA expression levels differ significantly in various diseases, indicating the potential for their use as biomarkers (<xref rid="b12-etm-0-0-3375" ref-type="bibr">12</xref>&#x2013;<xref rid="b14-etm-0-0-3375" ref-type="bibr">14</xref>).</p>
<p>Among miRNAs, miR-122, which accounts for ~70&#x0025; of the total miRNA in the adult liver, is associated with liver biology and disease, including cell cycle progression, hepatocellular carcinogenesis (<xref rid="b15-etm-0-0-3375" ref-type="bibr">15</xref>), lipid metabolism (<xref rid="b16-etm-0-0-3375" ref-type="bibr">16</xref>) and fibrosis (<xref rid="b17-etm-0-0-3375" ref-type="bibr">17</xref>). Furthermore, miR-122 has been confirmed as a potential biomarker for the diagnosis of hepatotoxicity caused by acetaminophen (<xref rid="b18-etm-0-0-3375" ref-type="bibr">18</xref>) and alcohol (<xref rid="b19-etm-0-0-3375" ref-type="bibr">19</xref>). In addition, miR-155 is a multi-functional miRNA known to have a regulatory role in numerous biological processes, including immunity (<xref rid="b20-etm-0-0-3375" ref-type="bibr">20</xref>), inflammation (<xref rid="b21-etm-0-0-3375" ref-type="bibr">21</xref>), atherosclerosis (<xref rid="b22-etm-0-0-3375" ref-type="bibr">22</xref>) and cancer (<xref rid="b23-etm-0-0-3375" ref-type="bibr">23</xref>). However, it has been demonstrated that liver tissue miR-155 expression levels are increased in non-alcoholic steatohepatitis and hepatocellular carcinoma, and the expression levels were associated with disease severity (<xref rid="b24-etm-0-0-3375" ref-type="bibr">24</xref>,<xref rid="b25-etm-0-0-3375" ref-type="bibr">25</xref>). These findings suggest a strong association between the miR-122/155 ratio and liver injury. Although much is known concerning the effects of liver injury, information on miR-122/155 expression and ADLI remains limited.</p>
<p>miR-122/155 regulate a large number of genes and consequently are involved in numerous biological processes, including the response to environmental chemicals. Therefore, the present study hypothesized that the levels of miR-122/155 in the liver tissue and blood may serve as a biomarker for ADLI. Consequently, miR-122/155 expression levels in the liver tissue of mice with INH-induced ADLI were analyzed to identify changes in miR-122/155 expression levels over a 24-h period. The aim of this was to confirm the effectiveness of the miR-122/155 ratio as quantitative marker for ADLI.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Animals</title>
<p>A total of 64 Kunming mice (32 males and 32 females; 5 weeks old; body weight, 18&#x2013;22 g; certificate no. 2009&#x2013;0004) were obtained from Beijing HFK Bioscience Co., Ltd. (Beijing, China). The present study was approved by the ethics committee of North China University of Science and Technology (Tangshan, China). To establish the ADLI models, mice were orally administered INH (0.2 ml/mouse; 180 mg/kg body weight; Shenyang Hongqi Pharmaceutical Co., Ltd., Liaoning, China; batch no. 1204081) dissolved in double-distilled water (ddH<sub>2</sub>0) to a final concentration of 18 mg/ml. Blood and liver tissue samples were collected at 0.25, 0.75, 1.5, 6, 12, 18 and 24 h following the administration of INH or ddH<sub>2</sub>0 (control group; n=8 per time point/group). In order to harvest the liver, the mice were sacrificed by cervical dislocation. The blood samples were centrifuged at 1,370 &#x00D7; g for 10 min at 4&#x00B0;C, and the serum was collected and stored at &#x2212;80&#x00B0;C until use. A section of the liver from the porta hepatis was fixed in 10&#x0025; neutral buffered formalin (Tianjin Kemiou Chemical Reagent Co., Ltd., Tianjin, China) and the remaining liver was preserved at &#x2212;80&#x00B0;C.</p>
</sec>
<sec>
<title>Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)</title>
<p>Total RNA was isolated from the livers of mice using a benchtop homogenizer (no. TGL-16B; Shanghai Anting Scientific Instrument Factory, Shanghai, China) with TRIzol<sup>&#x00AE;</sup> reagent (cat no. 15596-018; Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA), according to the manufacturer&#x0027;s protocol. The total RNA concentration was quantified using a UV-VIS spectrophotometer (product no. TU-1901; Beijing Purkinje General Instrument Co., Ltd. Beijing, China). The RNA quality and integrity was assessed by measuring the absorbance ratio at 260 and 280 nm, and by performing 1&#x0025; agarose gel electrophoresis. RNA was reverse transcribed into cDNA using miR-122/155 and U6-specific RT primers and the TaqMan MicroRNA Reverse Transcription kit (product no. 4366596; Applied Biosystems; Thermo Fisher Scientific, Inc.) on a C1000 Touch Thermo Cycler (Bio-Rad Laboratories, Inc., Hercules, CA, USA), according to the manufacturer&#x0027;s protocols. The cycling conditions for the RT reaction were as follows: 16&#x00B0;C for 30 min, 42&#x00B0;C for 30 min, 85&#x00B0;C for 5 min and 4&#x00B0;C for 1 min. The presence of miR-122/155 was confirmed using Platinum SYBR Green qPCR SuperMix-UDG (cat no. 11733-038; Invitrogen; Thermo Fisher Scientific, Inc, Waltham, MA, USA) on a StepOnePlus Real-Time PCR System (Applied Biosystems; Thermo Fisher Scientific, Inc.). U6 small nuclear RNA (snRNA) was used as the miRNA internal control. The primers were designed using Primer Premier software (version 5.0; Premier Biosoft International, Palo Alto, CA, USA) and were synthesized by Invitrogen (Thermo Fisher Scientific, Inc.). The primer and probe sequences for the RT-qPCR are presented in <xref rid="tI-etm-0-0-3375" ref-type="table">Table I</xref>. The PCR cycling conditions were as follows: 50&#x00B0;C for 1 min, followed by 40 cycles of 95&#x00B0;C for 15 sec and 60&#x00B0;C for 1 min. Relative miRNA production was calculated using the 2<sup>&#x2212;&#x2206;&#x2206;Cq</sup> method (<xref rid="b26-etm-0-0-3375" ref-type="bibr">26</xref>), where C<sub>q</sub> is the quantification cycle. All reactions were run in triplicate, and the results were normalized to U6 snRNA.</p>
</sec>
<sec>
<title>Biochemical assay and pathological examination</title>
<p>Serum ALT and AST levels were determined using an automatic biochemical analyzer (no. 7180; Hitachi, Tokyo, Japan), according to the manufacturer&#x0027;s protocol. Formalin-fixed samples were embedded in paraffin, sectioned (4-&#x00B5;m thickness), and stained with hematoxylin and eosin (H&#x0026;E; Beijing Solarbio Science &#x0026; Technology Co., Ltd., Beijing, China) for microscopic examination (CX21; Olympus Corporation, Tokyo, Japan). The degree of liver tissue injury was determined using a semi-quantitative method (<xref rid="b27-etm-0-0-3375" ref-type="bibr">27</xref>), in which the liver lesion severity number was multiplied by the weighted coefficient. The liver lesion severity numbers were as follows: Hepatocellular congestion, hemorrhage, 1; hepatocyte degeneration water, 1; inflammatory cell infiltration, 1; and hepatocyte necrosis, 3. The degree of liver injury was then calculated.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>The data are expressed as the mean &#x00B1; standard deviation. Statistical differences between groups were determined using Students t-tests. Multiple group comparisons were performed using analysis of variance in combination with a Tukey&#x0027;s or Dunnett&#x0027;s post-hoc test. Statistical analyses were conducted using SPSS software, version 17 (SPSS, Inc., Chicago, IL, USA). P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Histopathology and biochemistry of mouse liver</title>
<p>Histological examinations were performed on liver specimens (<xref rid="f1-etm-0-0-3375" ref-type="fig">Fig. 1A-H</xref>) and the associated scores of the liver injury are displayed in <xref rid="f2-etm-0-0-3375" ref-type="fig">Fig. 2</xref>. The livers of the INH-treated mice exhibited evidence of damaged cells from the 0.25 h time point (<xref rid="f1-etm-0-0-3375" ref-type="fig">Figs. 1B</xref> and <xref rid="f2-etm-0-0-3375" ref-type="fig">2</xref>). Thus, an INH-induced liver injury model was established. Furthermore, at the 0.75 h time point, evidence of inflammatory cell infiltration was observed (<xref rid="f1-etm-0-0-3375" ref-type="fig">Fig. 1C</xref>).</p>
<p>The serum ALT and AST levels (<xref rid="f3-etm-0-0-3375" ref-type="fig">Fig. 3</xref>) were increased at different time points of INH-induced liver injury (<xref rid="f3-etm-0-0-3375" ref-type="fig">Fig. 3</xref>). The serum ALT and AST levels were significantly higher 0.75 and 1.5 h after INH administration compared with the control group (P&#x003C;0.05; <xref rid="f3-etm-0-0-3375" ref-type="fig">Fig. 3</xref>), however, liver injury was observed from 0.25 h onwards (<xref rid="f2-etm-0-0-3375" ref-type="fig">Fig. 2</xref>).</p>
<p>Thus, the present study determined that the variations in serum ALT and AST occur subsequent to the histopathological changes caused by INH-induced liver injury.</p>
</sec>
<sec>
<title>Changes in tissue miR-122/155 expression in mice with INH-induced liver injury</title>
<p>miR-122/155 expression levels were observed in the mice liver the tissues over a 24-h period (<xref rid="f4-etm-0-0-3375" ref-type="fig">Fig. 4</xref>). The miR-122 levels were significantly declined at 0.25 h, with a 56.50&#x00B1;27.77&#x0025;-fold decrease observed compared with the control (P&#x003C;0.05). Although the expression levels of miR-122 were marginally increased at the other time points, they were immediately followed by small declines in expression, and the expression levels remained lower, as compared with the control (<xref rid="f4-etm-0-0-3375" ref-type="fig">Fig. 4A</xref>). These results suggest that miR-122 expression levels decline during INH-induced liver injury. Conversely, miR-155 levels were significantly increased at 0.75 h (11.25&#x00B1;1.43&#x0025;-fold increase; P&#x003C;0.05) and reached peak expression levels at the 12-h time point (39.04&#x00B1;4.10&#x0025;-fold increase; P&#x003C;0.01; <xref rid="f4-etm-0-0-3375" ref-type="fig">Fig. 4B</xref>). These results suggest that tissue miR-155 expression levels are elevated during INH-induced liver injury. Notably, the expression levels of miR-122 were altered more rapidly in response to INH-induced liver injury, as compared with miR-155 (<xref rid="f4-etm-0-0-3375" ref-type="fig">Fig. 4C</xref>).</p>
</sec>
<sec>
<title>Correlation of pathological and biochemical changes with INH-induced liver injury</title>
<p>Liver injury score was correlated to changes in biochemistry over the 24-h period during INH-induced liver injury. An association was observed between liver injury score and the following: miR-122 expression, miR-155 expression, the ratio of miR-122/155 and the ratio of miR-155/122, in which the ratio of miR-122/155 exhibited the most significant correlation (r=&#x2212;0.779; P&#x003C;0.001). However, liver injury scores revealed no correlation with ALT or AST. In conclusion, the ratio of miR-122/155 has a greater degree of correlation with liver damage compared with ALT, AST, miR-122 and miR-155 expression (<xref rid="tII-etm-0-0-3375" ref-type="table">Table II</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>miRNAs are important in a wide variety of physiological and pathological processes (<xref rid="b28-etm-0-0-3375" ref-type="bibr">28</xref>). Recently, miRNAs have been revealed as potential biomarkers for the diagnosis of several diseases. In the present study, tissue miR-122 was examined as a potential marker of hepatocyte damage, and miR-155 as a marker of inflammation in INH-induced liver injury. A mouse model of INH-induced liver injury was established and changes in tissue miR-122/155 expression levels at different time points during liver injury were analyzed.</p>
<p>Changes in miR-122/155 expression levels in INH-induced liver injury were recorded at seven time points (0.25, 0.75, 1.5, 6, 12, 18 and 24 h) based on the known pharmacokinetics of INH in mice (<xref rid="b29-etm-0-0-3375" ref-type="bibr">29</xref>). Double the recommended dosage for humans for was administered to replicate the initial dosing administered to humans in clinical treatment. The present study identified that tissue miR-122/155 expression levels significantly changed during liver injury. Compared with the control group, tissue miR-122 expression levels decreased during INH-induced liver injury. In a previous study involving the use of a mouse model administered with acetaminophen, miR-122 expression levels in the tissue were also observed to decrease (<xref rid="b30-etm-0-0-3375" ref-type="bibr">30</xref>). The aforementioned study also indicated that the damaged cells within the liver tissue resulted in the transport or release of cellular miRNAs into the peripheral circulation (<xref rid="b30-etm-0-0-3375" ref-type="bibr">30</xref>). Notably, in the present study, tissue miR-122 expression levels initially decreased and initiated two upward trends after 0.25 h and 1.5 h. The aforementioned change may be a result of the pharmacokinetics of INH, as the peak concentration times of INH and its metabolite hydrazine, which are the primary chemical substances that give rise to INH-induced liver injury, are 0.25 h and 1.5 h, respectively (<xref rid="b29-etm-0-0-3375" ref-type="bibr">29</xref>). As the peak concentration times correspond to the increase in miR-122 expression levels, we hypothesize that there may be an association between miR-122 and the peak concentration times of INH; however, further investigation is required.</p>
<p>The target genes of miR-155, including interleukin-1 and v-ets avian erythroblastosis virus E26 oncogene homolog 1, are associated with the immune and hematopoietic systems (<xref rid="b31-etm-0-0-3375" ref-type="bibr">31</xref>,<xref rid="b32-etm-0-0-3375" ref-type="bibr">32</xref>). To investigate the role of miR-155 during liver injury, the present study examined the dynamic changes in miR-155 expression levels in the livers of mice with INH-induced liver injury. Liver tissues were observed under a microscope with H&#x0026;E staining to investigate the inflammatory response at 0.25 h. miR-155 expression levels displayed an overall upward trend in the present study, suggesting that tissue miR-155 expression levels increase during inflammatory responses, reaching peak levels at 12 h and declining thereafter. Notably, the changes in miR-155 expression occur later than those of miR-122, which may be a result of the complex internal environment. An association between miR-155 and inflammatory factors was also observed in the present study. miR-155 has previously been demonstrated to promote autoimmune inflammation in inflammatory responses (<xref rid="b33-etm-0-0-3375" ref-type="bibr">33</xref>) and is upregulated in macrophages following stimulation by affecting inflammatory mediators (<xref rid="b34-etm-0-0-3375" ref-type="bibr">34</xref>). A further study determined that miR-155 was able to influence tumor necrosis factor-&#x03B1; expression levels to increase inflammatory injury through adjusting fas-associated death domain and inhibitor of &#x03BA;B expression (<xref rid="b35-etm-0-0-3375" ref-type="bibr">35</xref>). Furthermore, it was revealed that inflammatory mediators and miR-155 can influence one another&#x0027;s expression levels (<xref rid="b36-etm-0-0-3375" ref-type="bibr">36</xref>).</p>
<p>Currently, elevated serum levels of ALT and AST are used as a diagnosis of liver injury; however, their levels are also increased in other diseases, and differences in the levels of ALT and AST may occur later in the serum, as compared with the liver (<xref rid="b37-etm-0-0-3375" ref-type="bibr">37</xref>). Previous studies have demonstrated that miR-122 expression levels have a greater association with liver injury than serum ALT and AST levels; thus, miR-122 is a potential biomarker for the diagnosis of liver injury (<xref rid="b38-etm-0-0-3375" ref-type="bibr">38</xref>). In the current study, changes in miR-122 expression levels occurred prior to changes in serum ALT and AST levels. Previous evidence revealed that miR-122 is more sensitive and specific for liver injury compared with ALT and AST (<xref rid="b18-etm-0-0-3375" ref-type="bibr">18</xref>), which is consistent with the results of the present study. In addition, where the levels of ALT and AST were returned to normal at 6 h, the expression levels of miR-122 and histopathological changes of liver tissue remained unchanged. Therefore, the levels of ALT and AST are unable to accurately reveal the histopathological changes of the liver tissue (<xref rid="b39-etm-0-0-3375" ref-type="bibr">39</xref>).</p>
<p>At present, the ratio of ALT/AST is used to determine the degree of liver injury. In the present study, the ratio of miR-122/155 was determined by dividing miR-122 expression levels by those of miR-155. The ratio of miR-122/155 was more closely associated with the degree of liver injury than the ALT/AST ratio. miR-122 may indicate the presence of damaged hepatocytes, possibly because miR-122 is expressed by liver cells under normal physiological conditions but declines in the event of liver cell injury (<xref rid="b40-etm-0-0-3375" ref-type="bibr">40</xref>). miR-155, as an inflammation-specific miRNA, can regulate the expression of inflammatory cells (<xref rid="b41-etm-0-0-3375" ref-type="bibr">41</xref>). The current study also reported that miR-155 expression levels increase when inflammatory cells invade the liver.</p>
<p>In conclusion, the present study indicates that the ratio of miR-122/155 may be a more accurate biomarker of liver damage in INH-induced acute liver injury than the ratio of ALT/AST. Further studies involving various anti-TB drugs are, however, required to consolidate upon this finding.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The present study was supported by the Key Lab of Tangshan (grant no. 08150201A-1-8).</p>
</ack>
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</back>
<floats-group>
<fig id="f1-etm-0-0-3375" position="float">
<label>Figure 1.</label>
<caption><p>Representative hematoxylin and eosin-stained liver sections from (A) control mice and mice treated with isoniazid (180 mg/kg) for (B) 0.25, (C) 0.75, (D) 1.5, (E) 6, (F) 12, (G) 18 and (H) 24 h (original magnification, &#x00D7;100).</p></caption>
<graphic xlink:href="etm-12-02-0889-g00.jpg"/>
</fig>
<fig id="f2-etm-0-0-3375" position="float">
<label>Figure 2.</label>
<caption><p>Liver injury score of 80 mice at various time points throughout a 24-h period following the oral administration of INH (180 mg/kg). The liver injury score was determined by a semi-quantitative method. Data are presented as mean &#x00B1; standard deviation. &#x002A;P&#x003C;0.05 vs. control.</p></caption>
<graphic xlink:href="etm-12-02-0889-g01.tif"/>
</fig>
<fig id="f3-etm-0-0-3375" position="float">
<label>Figure 3.</label>
<caption><p>Serum ALT and AST levels in 80 mice at various time points throughout a 24-h period following the oral administration of INH (180 mg/kg). The levels of ALT and AST were determined using an automatic biochemical analyzer. Data are presented as mean &#x00B1; standard deviation. &#x002A;P&#x003C;0.05 vs. control. ALT, alanine aminotransferase; AST, aspartate aminotransferase.</p></caption>
<graphic xlink:href="etm-12-02-0889-g02.tif"/>
</fig>
<fig id="f4-etm-0-0-3375" position="float">
<label>Figure 4.</label>
<caption><p>Relative (A) miR-122 and (B) miR-155 expression levels in 80 mice at various time points throughout a 24-h period following the oral administration of INH (180 mg/kg). (C) A comparison of the expression levels of miR-122 and miR-155 in response to INH-induced liver injury. Abundance of miR-122 and miR-155 was measured by reverse transcription-quantitative polymerase chain reaction following normalization with U6 small nuclear RNA. Data are presented as mean &#x00B1; standard deviation. &#x002A;P&#x003C;0.05, &#x002A;&#x002A;P&#x003C;0.01 vs. control. miR, microRNA.</p></caption>
<graphic xlink:href="etm-12-02-0889-g03.jpg"/>
</fig>
<table-wrap id="tI-etm-0-0-3375" position="float">
<label>Table I.</label>
<caption><p>RT-qPCR primer and probe sequences.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Gene</th>
<th align="center" valign="bottom">Primer/Probe</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">RT</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;miR-122</td>
<td align="left" valign="top">5&#x2032;-ACAATGGTGTTTGTGTCCAAACCACAAACACCATTGTCA-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;miR-155</td>
<td align="left" valign="top">5&#x2032;-ATAGGGGTTTTGGCCTCTGACTGACTCCTAATCACAATTAGC-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;U6</td>
<td align="left" valign="top">5&#x2032;-ATGGAACGCTTCACGAATTTGCGTGTCATCC-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">qPCR</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;miR-122</td>
<td align="left" valign="top">F: 5&#x2032;-GCAGCTGTGGAGTGACAATGG-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;miR-155</td>
<td align="left" valign="top">F: 5&#x2032;-GCCTGTTAAGCTAATTGTGAT-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;miR-122/155</td>
<td align="left" valign="top">R: 5&#x2032;-GTGCAGGGTCCGAGGT-3&#x2032;</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;U6</td>
<td align="left" valign="top">F: 5&#x2032;-GCAAGGATGACACGCAAT-3&#x2032;</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">R: 5&#x2032;-ATGGAACGCTTCACGAAT-3&#x2032;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-etm-0-0-3375"><p>RT-qPCR, reverse transcription-quantitative polymerase chain reaction; miR, microRNA; F, forward; R, reverse.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-etm-0-0-3375" position="float">
<label>Table II.</label>
<caption><p>Association between pathological changes and liver injury score.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Liver injury score correlation</th>
<th align="center" valign="bottom">ALT</th>
<th align="center" valign="bottom">AST</th>
<th align="center" valign="bottom">miR-122</th>
<th align="center" valign="bottom">miR-155</th>
<th align="center" valign="bottom">miR-122/miR-155</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">r-value</td>
<td align="center" valign="top">0.157</td>
<td align="center" valign="top">0.053</td>
<td align="center" valign="top">&#x2212;0.592</td>
<td align="center" valign="top">0.678</td>
<td align="center" valign="top">&#x2212;0.779</td>
</tr>
<tr>
<td align="left" valign="top">P-value</td>
<td align="center" valign="top">0.215</td>
<td align="center" valign="top">0.678</td>
<td align="center" valign="top">0.001<sup><xref rid="tfn2-etm-0-0-3375" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.001<sup><xref rid="tfn2-etm-0-0-3375" ref-type="table-fn">a</xref></sup></td>
<td align="center" valign="top">0.001<sup><xref rid="tfn2-etm-0-0-3375" ref-type="table-fn">a</xref></sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-etm-0-0-3375"><label>a</label><p>P&#x003C;0.05 vs. the control. ALT, alanine aminotransferase; AST, aspartate aminotransferase; miR, microRNA.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
