Abstract
Background
Noninvasive methods to accurately and conveniently evaluate liver fibrosis are desirable. MicroRNA (miR) is one of the candidates. MiRs are small RNAs consisting of 19–25 nucleotides that negatively regulate many target genes at transcriptional levels. Recently, many researchers have focused on circulating miRs in the blood stream as biomarkers. Hepatic miR-122 has been reported to have an association with viral replication and hepatic fibrosis in chronic hepatitis B virus (HBV) and hepatic C virus (HCV) infection.
Methods
We measured serum miR-122 levels in HBV- and HCV-infected patients confirmed with liver biopsy. We also investigated a novel liver fibrosis marker Wisteria floribunda agglutinin-positive Mac-2 binding protein [WFA(+)-M2BP]. We evaluated the diagnostic usefulness of these markers in hepatic fibrosis and inflammation of patients with chronic viral infection.
Results
The serum miR-122 levels of HBV-infected patients were higher than those of the control subjects. In HBV-infected patients, the serum miR-122 levels of patients with advanced liver fibrosis were significantly lower. Serum WFA(+)-M2BP was significantly higher dependent on both the staging of fibrosis and the grading of inflammatory activity in patients with both HBV and HCV infection. We also observed that higher serum WFA(+)-M2BP levels augmented the prediction of advanced liver fibrosis among HBV-infected patients with lower serum miR-122 levels.
Conclusions
A lower serum miR-122 level is a useful predictor of advanced liver fibrosis in HBV-infected patients. Serum WFA(+)-M2BP could predict liver fibrosis in both HBV and HCV infection. The combination of these markers may result in the more accurate evaluation of liver fibrosis in HBV infection.
Introduction
The presence of liver cirrhosis is an independent predictor of hepatocellular carcinoma development in chronic hepatitis B virus (HBV) [1] and hepatitis C virus (HCV) infection [2]. It is important to evaluate the staging of liver fibrosis in clinical daily practice when seeing patients with chronic liver diseases. Liver biopsy is a cornerstone for the histological assessment of the liver in the evaluation and management of patients with liver disease [3], although there are some complications and technical issues such as the false-negative sampling error [4]. A liver biopsy usually requires patients to be hospitalized. For these reasons, non-invasive methods to evaluate liver fibrosis have been developed, and easier methods are urgently needed [1,2].
Exosomes are a type of extracellular vesicle. They are derived from the budding of the inner endosomal membrane, form multivesicular bodies and fuse with the plasma membrane. Exosomes include proteins, microRNAs (miR) and viruses [5]. MiRs are small noncoding RNA molecules of 19–25 nucleotides and regulate gene expression at post translational steps. The liver has a numerous endogenous miRs that play important roles in the regulation of biological processes such as cell proliferation and liver fibrosis [6]. MiRs circulate in a cell-free form in body fluids including serum, mostly in exosomes and protein-RNA complexes [7]. We and others have also reported an association between HBV infection and several miRs [8–10]. Attention should also be paid to serum miRs as liquid biopsy markers [11].
MiR-122 is a miR that is abundant in liver. Mir-122 stimulates translation of HCV RNA [12] and is one of the therapeutic targets [13]. An association between miR-122 and HBV infection, including HBV replication [14] and therapeutic effects [15], has also been reported.
Wisteria floribunda agglutinin-positive Mac-2 binding protein [WFA(+)-M2BP] is a newly recognized fibrosis marker that was developed as a marker for HCV infection in Japan [16,17]. M2BP is a heavily N-glycosylated glycoprotein and is secreted as a ligand of galectin-3 (Mac-2) [18]. Changes in the quality and quantity of M2BP produced are observed during the progression of fibrosis, and these are induced by changes in N-glycosylation [16,17].
In the present study, we measured serum miR-122 and WFA(+)-M2BP in liver biopsy-proven HBV and HCV patients. We report that the combination of these non-invasive markers is useful a diagnostic tool for liver fibrosis in HBV-infected patients. These results could shed new light on non-invasive diagnosis in patients with HBV infection and advanced liver fibrosis.
Patients and methods
Patients
Ninety-one patients with chronic HBV infection and 108 patients with chronic HCV infection, who received liver biopsy between January 1996 and November 2012 at the Department of Gastroenterology, Chiba University Medical School Hospital, Chiba, Japan were consecutively enrolled in this study. All patients were treatment-naïve. Twenty-three control subjects without liver disease were also enrolled. Sera were stored at -20°C until testing at Chiba University, Graduate School of Medicine. This study was approved by the ethics committee of Chiba University, Graduate School of Medicine (No. 1241/1841). This study protocol conformed to the ethical guidelines of the Helsinki Declaration. Participation in the study was posted at our institutions. Written informed consent for liver biopsy was obtained from all patients. Baseline characteristics are listed in Table 1.
Table 1. Baseline characteristics of the patients.
CHB (n = 91) | CHC (n = 108) | Control (n = 23) | |
---|---|---|---|
Age (years old) | 41.0 ± 10.4* | 54.8 ± 11.2** | 38.5 ± 10.3 |
Gender (male/female) | 66/25*,** | 49/59 | 11/12 |
AST (IU/L) | 83.8 ± 88.0* | 63.7 ± 41.6 | N.D. |
ALT (IU/L) | 139.6 ± 168.1*,** | 75.7 ± 58.7** | 10.8 ± 4.3 |
Platelets (x 103/mL) | 181.4 ± 63.7 | 170.2 ± 65.4 | N.D. |
HBV DNA (Log copies/mL) | 6.0 ± 2.2 | N.A. | N.A. |
HBeAg (positive/negative) | 71/20 | N.A. | N.A. |
HCV genotypes (1/2) | N.A. | 71/37 | N.A. |
HCV RNA (L/H) | N.A. | 6/103 | N.A. |
APRI | 1.53 ± 1.62 | 1.32 ± 1.13 | N.D. |
FIB-4 | 2.01 ± 2.03* | 2.96 ± 2.07 | N.D. |
Liver fibrosis (F1/F2/F3/F4) | 39/22/20/10 | 46/26/19/17 | N.D. |
Inflammatory activity (A1/A2/A3) | 33/43/15 | 41/55/12 | N.D. |
MiR-122 level (fold) | 260.5 ± 551.1*,** | 12.2 ± 25.9 | 3.70 ± 8.13 |
WFA(+)-M2BP level (C.O.I.) | 1.26 ± 1.55*,** | 2.84 ± 3.03** | 0.44 ± 0.19 |
Data are presented as the mean ± standard deviation.
* p<0.05 vs CHC group;
** p<0.05 vs Control group;
AST, aspartate aminotransferase; ALT, alanine aminotransferase; APRI, AST to platelet ratio index; FIB-4, Fibrosis 4; HCV RNA L, < 100 KIU/mL; HCV RNA H, ≥ 100 KIU/mL; N.A., not applicable; N.D., not done; CHB, chronic hepatitis B; CHC, chronic hepatitis C; Control, control subjects.
Clinical and laboratory assessments
Hematological and biochemical tests were measured by standard laboratory techniques in the central laboratories of Chiba University Hospital. Cirrhosis of the liver was diagnosed by ultrasound, computed tomography, and histology.
Measurement of hepatitis viral markers
HBV DNA was measured using a Roche Amplicor PCR assay (detection limits: 2.6 log IU/mL; Roche Diagnostics, Tokyo, Japan). HBsAg, HBeAg and anti-HCV were determined by ELISA (Abbott, Chicago, IL, USA) [19]. HCV RNA was measured by RT-PCR (COBAS AMPLICOR HCV MONITOR assay version 2.0, Roche Diagnostics, Tokyo, Japan). HCV serotyping was determined by detecting antibodies against group-specific recombinant proteins for serotypes 1 and 2 in the putative HCV NS4 protein region by an enzyme immunoassay that is commonly used in Japan [20].
Histological analysis of the liver
Liver tissues were obtained using a 14-gauge Tru-cut biopsy needle (Baxter, Deerfield, IL, USA), or 16 or 18-gauge BARD Max-Core (Tempe, AZ, USA). The biopsy specimen was immediately fixed with 10% formalin (Wako, Tokyo, Japan) and stained with hematoxylin-eosin. Staging of liver fibrosis and grading of the activity of liver inflammation were independently assessed by at least three experienced hepatologists. Liver fibrosis staging was defined as follows: no fibrosis (F0), fibrous expansion of portal area (F1), fibrous expansion of portal area with portal-to-portal bridging fibrosis (F2), marked bridging fibrosis with occasional nodules (F3) or cirrhosis (F4). Grading of the activity of liver inflammation was defined as follows: none or minimal (A0), mild (A1), moderate (A2) or severe (A3) [21,22].
Measurement of fibrosis markers
Serum WFA(+)-M2BP was measured using an HISCL M2BPGi assay kit (Sysmex Co., Kobe, Japan) [17]. The aspartate aminotransferase (AST) to alanine aminotransferase (ALT) ratio (AAR) was calculated using the following equation: AAR = AST/ALT. The AST to platelet ratio index (APRI) was calculated using the following equation: APRI = [AST (/35 IU/L)/platelet counts (103/μL)] × 100 [23]. Fibrosis 4 (FIB-4) score was calculated using the following equation: FIB-4 = [AST (IU/L) × Age (years)]/[ALT (IU/L)1/2 × platelet counts (103/μL)] [23].
MiR extraction and quantification
For extraction of miRs, 300 μL of serum was used. After addition of 100 fmol of Caenorhabditis elegans miR-39 (cel-39) mimics (Qiagen, Hilden, Germany) as the spike-in control, total RNA was extracted from the serum with NucleoSpin miRNA Plasma (Macherey-Nagel GmbH & Co KG, Düren, Germany). cDNA was synthesized using a TaqMan MicroRNA Reverse Transcription kit (Applied Biosystems, Foster City, CA) with miRNA-specific primers for miR-122 and cel-39. For miR quantification, real-time PCR was conducted using gene-specific TaqMan assay kits with a StepOne Real-Time PCR System (Applied Biosystems). Real-time PCR was performed in duplicates. The relative amount of miR-122 was calculated using the 2-ddCt method with cel-39 for normalization [6].
Statistical analysis
Data were analyzed with the chi-square test, Student’s t-test, and Mann-Whitney’s U-test. A p<0.05 was considered to be statistically significant. Statistical analyses and the receiver operating characteristic (ROC) curve analysis were performed using JMP Pro 12 (SAS Institute Inc., Cary, NC, USA).
Results
Patients’ characteristics in the present study
The characteristics of the patients in this study are shown in Table 1. Males were 72.5%, 45.3% and 47.8% of the study population, and the median age were 40 (range 25–68), 57.5 (range 22–71) and 35 (range 24–65) years in the 91 patients chronically infected with HBV, the 108 patients chronically infected with HCV and 23 control subjects, respectively. In the HBV-positive patients, HBeAg-positive patients were predominant (78%). In HCV patients, HCV genotype 1-infected patients were predominant (66%). In control subjects, 47.8% were male, and the mean age was 38.5±10.3 years.
We also performed liver biopsy in all HBV- and HCV-infected patients in this study. Advanced liver fibrosis (F3 or F4) was observed in 30 (33%) and 36 (33%) in HBV- and HCV-infected patients, respectively (N.S.) (Table 1). Severe liver inflammation was observed in 12 (13%) and 12 (11%) in HBV- and HCV-infected patients, respectively (N.S.) (Table 1). The level of the fibrosis marker FIB-4 was significantly lower in HBV-infected patients than HCV-infected patients (p<0.05).
Serum miR-122 levels in patients infected with HBV and HCV
The serum miR-122 levels of HBV-infected patients were higher than those of control subjects (p<0.05) (Table 1). Of interest, the serum miR-122 levels of HBV-infected patients were higher than those of HCV-infected patients (p<0.05) (Table 1).
In HBV-infected patients, the serum miR-122 levels of patients with severe liver fibrosis (F3 or F4) (20.3±19.0-fold) were significantly lower than those with mild or moderate liver fibrosis (F1 or F2) (192±232-fold; p<0.05). Additionally, the serum miR-122 levels of patients with severe inflammatory activity (A3) (23.7±20.6-fold) tended to be lower than those with mild or moderate (A1 or A2) (135±168-fold; p = 0.08) (Fig 1A).
On the other hand, in HCV-infected patients, the serum miR-122 levels did not differ among either the different fibrosis stages or the different inflammatory activity grades (F1 or F2, 4.70±7.14-fold vs. F3 or F4, 5.10±4.53-fold, N.S; A1 or A2, 4.04±5.60-fold vs. A3, 6.17±5.21-fold, N.S) (Fig 1B). These results suggest that lower serum miR-122 levels may be indicative of advanced liver fibrosis in HBV-infected patients.
Serum WFA(+)-M2BP levels in patients infected with HBV and HCV
The serum WFA(+)-M2BP levels of HBV- and HCV-infected patients were higher than those of control subjects (p<0.05) (Table 1). The serum WFA(+)-M2BP levels of HBV-infected patients were lower than those of HCV-infected patients (p<0.01) (Table 1). The serum WFA(+)-M2BP levels were higher dependent on both the staging of liver fibrosis and grading of liver inflammatory activity in HBV-infected patients (F1 or F2, 0.89±0.69 C.O.I. vs. F3 or F4, 2.0±2.3 C.O.I., p<0.05; A1 or A2, 1.1±1.3 C.O.I. vs. A3, 2.3±2.3 C.O.I., p<0.05) (Fig 2A). The serum WFA(+)-M2BP levels were higher dependent on both the staging of liver fibrosis and grading of liver inflammatory activity in HCV-infected patients (F1 or F2, 1.7±1.3 C.O.I. vs. F3 or F4, 5.1±4.1 C.O.I., p<0.05; A1 or A2, 2.1±2.1 C.O.I. vs. A3, 3.2±2.9 C.O.I., p<0.05) (Fig 2B).
The combination of serum miR-122 and serum WFA(+)-M2BP is useful for the prediction of advanced liver fibrosis in chronic HBV infection
The receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic ability of serum miR-122 and serum WFA(+)-M2BP for the presence of severe fibrosis. The area under the curve (AUC) of serum miR-122 for the prediction of severe fibrosis in HBV-infected patients was 0.068, which is comparable to other indexes, such as the APRI or FIB-4 index (AUC of 0.681 or 0.701, respectively). The AUC of serum WFA(+)-M2BP for the prediction of severe fibrosis in HBV-infected patients (AUC of 0.680) was almost the same as that of serum miR-122 (Fig 3A). Together, the combination of serum miR-122 and serum WFA(+)-M2BP in patients with chronic hepatitis B may have good diagnostic ability for severe fibrosis.
On the other hand, the AUC of serum miR-122 in HCV-infected patients was 0.409, which shows a lower diagnostic ability of serum miR-122 for the prediction of severe fibrosis in chronic HCV infection. In contrast, serum WFA(+)-M2BP showed a higher AUC close to that of FIB-4 index (Fig 3B). Serum WFA(+)-M2BP in patients with chronic hepatitis C possesses good diagnostic ability for severe fibrosis, as previously reported.
Performance of serum miR-122 and serum WFA(+)-M2BP for predicting advanced liver fibrosis
In 91 HBV-infected patients, a serum miR-122 level lower than 71-fold was identified in 49 (54%) patients, and 23 of them (47%) had advanced liver fibrosis (Table 2). On the other, 42 patients with a serum miR-122 level higher than 71-fold, 7 (17%) had advanced liver fibrosis (Table 2). In the 90 HBV-infected patients, serum WFA(+)-M2BP levels higher than 1 C.O.I. augmented the prediction of advanced liver fibrosis among the HBV-infected patients with a serum miR-122 level lower than 71-fold (Table 2). However, the combination of these two factors did not augment the prediction of advanced liver fibrosis among the HCV-infected patients with serum WFA(+)-M2BP higher than 2 C.O.I. (Table 3).
Table 2. Predictive values for advanced liver fibrosis in patients infected with HBV.
PPV | NPV | Sensitivity | Specificity | Accuracy | |
---|---|---|---|---|---|
Serum miR-122 (< 71-fold) (n = 91) | 47% | 83% | 77% | 57% | 64% |
Serum WFA(+)-M2BP (> 1 C.O.I.) (n = 90) | 53% | 81% | 67% | 70% | 69% |
Serum miR-122 (< 71-fold) or serum WFA(+)-M2BP (> 1 C.O.I.) (n = 90) | 44% | 93% | 93% | 42% | 59% |
Serum miR-122 (< 71-fold) and serum WFA(+)-M2BP (> 1 C.O.I.) (n = 90) | 64% | 76% | 47% | 87% | 74% |
PPV, positive predictive value; NPV, negative predictive value
Table 3. Predictive values for advanced liver fibrosis in patients infected with HCV.
PPV | NPV | Sensitivity | Specificity | Accuracy | |
---|---|---|---|---|---|
Serum miR-122 (> 16-fold) (n = 108) | 25% | 65% | 14% | 79% | 57% |
Serum WFA(+)-M2BP (> 2 C.O.I.) (n = 108) | 57% | 83% | 69% | 74% | 72% |
Serum miR-122 (> 16-fold) or serum WFA(+)-M2BP (> 2 C.O.I.) (n = 108) | 49% | 82% | 72% | 63% | 66% |
Serum miR-122 (> 16-fold) and serum WFA(+)-M2BP (> 2 C.O.I.) (n = 108) | 36% | 67% | 11% | 90% | 64% |
PPV, positive predictive value; NPV, negative predictive value
Discussion
Liver fibrosis assessment in liver disease, including in patients with chronic HBV infection, is an important issue [24]. Our observations suggest that the serum miR-122 levels from patients with advanced liver fibrosis were showed lower than those from patients with non-advanced liver fibrosis in HBV infection. Moreover, higher serum WFA(+)-M2BP levels augmented the prediction of advanced liver fibrosis among HBV-infected patients with lower serum miR-122 (Table 2). However, serum miR-122 levels did not differ between patients with advanced liver fibrosis and patients with non-advanced liver fibrosis in HCV infection. However, serum WFA(+)-M2BP levels from HCV-infected patients with advanced liver fibrosis showed higher values than those from HCV-infected patients with non-advanced liver fibrosis, supporting the previous study [16].
Serum WFA(+)-M2BP predicts liver fibrosis and progression to hepatocellular carcinoma (HCC) in patients with chronic HBV infection [25]. Nishikawa et al. [26] reported that the GMPH score using 4 parameters [gamma-glutamyl transpeptidase, WFA(+)-M2BP, platelet count and hyaluronic acid] is useful for the detection of advanced liver fibrosis in patients with chronic hepatitis B. The present study demonstrated that the combination of serum miR-122 and WFA(+)-M2BP could predict advanced liver fibrosis in patients with HBV infection. During the follow-up, HCC occurred in 2 patients with chronic hepatitis B. At the baseline, serum miR-122/WFA(+)-M2BP were 0.20-fold/0.4 C.O.I. (observation period: 3538 days) and 4.6-fold/0.17 C.O.I. (observation period: 6100 days), in one cirrhotic patients who was dead from HCC and one non-cirrhotic patient who is alive with HCC, respectively (Tables A-B in S1 File). As the number of patients was small in the present study, further studies will be needed to clarify whether these markers are useful for the prediction of the occurrence of HCC.
The present study also found that serum miR-122 levels from patients with severe liver inflammation showed lower values than those from patients with non-severe liver inflammation in HBV infection. Hepatic expression of miR-122 in HBV patients has been reported to not be associated with viral load or liver injury [27].
The serum miR-122 levels from patients with chronic HBV infection are higher than those from patients with chronic HCV infection and healthy controls. Several miRNAs, including miR-122, miR-22, and miR-99a, have been reported to be up-regulated at least 1.5-fold in serum of HBV-infected patients [28]. MiR-122 is involved in HBV replication [14,29] and the regulation of cell proliferation [14,30] in HBV infection. In HCV infection, miR-122 is associated with hepatocyte proliferation [31], apoptosis [32], lipid metabolism [33], interferon response [6], liver fibrosis [6], and HCV replication [12,13]. Further studies will be needed at this point.
MiR-122 and WFA(+)-M2BP are mainly produced by hepatocytes and hepatic stellate cells, respectively [13,34]. At the present time, we do not know whether WFA(+)-M2BP secreted by hepatic stellate cells is modulated by miR-122 produced by hepatocytes. In conclusion, a lower serum miR-122 level is a useful predictor of advanced liver fibrosis in HBV-infected patients. Serum WFA(+)-M2BP could also predict liver fibrosis in HBV and HCV infection. The combination of these serum markers as liquid biopsies may result in the more accurate evaluation of liver fibrosis in HBV infection. Circulating miR-122 and WFA(+)-M2BP are promising biomarkers for liver fibrosis and the prognosis of HBV-infected individuals.
Supporting information
Acknowledgments
We thank Dr. R. Sasaki, Dr. W. W. Nan and Prof. N. Kato for valuable discussions.
Data Availability
All relevant data are within the paper and its Supporting Information file.
Funding Statement
This work was supported by a research grants from MSD, Chugai Pharmaceutical (AC-1-20160603004715-334801), Abbvie (201606_CASE No.58) and Sysmex. This research was (partially) supported by the Research Program on Hepatitis from the Japan Agency for Medical Research and Development, AMED. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Kim SU, Kim BK, Park JY, Kim do Y, Ahn SH, Song K, et al. Transient Elastography is Superior to FIB-4 in Assessing the Risk of Hepatocellular Carcinoma in Patients With Chronic Hepatitis B. Medicine (Baltimore). 2016;95: e3434. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Masuzaki R, Tateishi R, Yoshida H, Goto E, Sato T, Ohki T, et al. Prospective risk assessment for hepatocellular carcinoma development in patients with chronic hepatitis C by transient elastography. Hepatology. 2009;49:1954–1961. 10.1002/hep.22870 [DOI] [PubMed] [Google Scholar]
- 3.Rockey DC, Caldwell SH, Goodman ZD, Nelson RC, Smith AD; American Association for the Study of Liver Diseases. Liver biopsy. Hepatology. 2009;49:1017–1044. 10.1002/hep.22742 [DOI] [PubMed] [Google Scholar]
- 4.Yoshimoto K, Ono N, Okamura T, Sata M. Recent progress in the diagnosis and therapy for veno-occlusive disease of the liver. Leuk Lymphoma. 2003;44:229–234. 10.1080/1042819021000029704 [DOI] [PubMed] [Google Scholar]
- 5.Devhare PB, Ray RB. A novel role of exosomes in the vaccination approach. Ann Transl Med. 2017;5:23 10.21037/atm.2016.12.75 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Nakamura M, Kanda T, Sasaki R, Haga Y, Jiang X, Wu S, et al. MicroRNA-122 Inhibits the Production of Inflammatory Cytokines by Targeting the PKR Activator PACT in Human Hepatic Stellate Cells. PLoS One. 2015;10:e0144295 10.1371/journal.pone.0144295 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Witwer KW. Circulating microRNA biomarker studies: pitfalls and potential solutions. Clin Chem 2015;61:56–63. 10.1373/clinchem.2014.221341 [DOI] [PubMed] [Google Scholar]
- 8.Jiang X, Kanda T, Wu S, Nakamura M, Miyamura T, Nakamoto S, et al. Regulation of microRNA by hepatitis B virus infection and their possible association with control of innate immunity. World J Gastroenterol. 2014;20:7197–7206. 10.3748/wjg.v20.i23.7197 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Sarkar N, Panigrahi R, Pal A, Biswas A, Singh SP, Kar SK, et al. Expression of microRNA-155 correlates positively with the expression of Toll-like receptor 7 and modulates hepatitis B virus via C/EBP-β in hepatocytes. J Viral Hepat. 2015;22:817–827. 10.1111/jvh.12390 [DOI] [PubMed] [Google Scholar]
- 10.Qiao DD, Yang J, Lei XF, Mi GL, Li SL, Li K, et al. Expression of microRNA-122 and microRNA-22 in HBV-related liver cancer and the correlation with clinical features. Eur Rev Med Pharmacol Sci. 2017;21:742–747. [PubMed] [Google Scholar]
- 11.Schwarzenbach H. Circulating nucleic acids as biomarkers in breast cancer. Breast Cancer Res. 2013;15:211 10.1186/bcr3446 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Henke JI, Goergen D, Zheng J, Song Y, Schüttler CG, Fehr C, et al. microRNA-122 stimulates translation of hepatitis C virus RNA. EMBO J. 2008;27:3300–3310. 10.1038/emboj.2008.244 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Lanford RE, Hildebrandt-Eriksen ES, Petri A, Persson R, Lindow M, Munk ME, et al. Therapeutic silencing of microRNA-122 in primates with chronic hepatitis C virus infection. Science. 2010;327:198–201. 10.1126/science.1178178 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Wang S, Qiu L, Yan X, Jin W, Wang Y, Chen L, et al. Loss of microRNA 122 expression in patients with hepatitis B enhances hepatitis B virus replication through cyclin G(1) -modulated P53 activity. Hepatology. 2012;55:730–741. 10.1002/hep.24809 [DOI] [PubMed] [Google Scholar]
- 15.Cheng HR, Kao JH, Wu HL, Tseng TC, Liu CH, Yang HC, et al. Clinical significance of circulating miR-122 in patients with dual chronic hepatitis B and C virus infection. Hepatol Int. 2015;9:35–42. 10.1007/s12072-014-9591-z [DOI] [PubMed] [Google Scholar]
- 16.Yamasaki K, Tateyama M, Abiru S, Komori A, Nagaoka S, Saeki A, et al. Elevated serum levels of Wisteria floribunda agglutinin-positive human Mac-2 binding protein predict the development of hepatocellular carcinoma in hepatitis C patients. Hepatology. 2014;60:1563–1570. 10.1002/hep.27305 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Haga Y, Kanda T, Sasaki R, Nakamura M, Takahashi K, Wu S, et al. Serum Wisteria Floribunda Agglutinin-Positive Mac-2 Binding Protein Could Not Always Predict Early Cirrhosis in Non-Viral Liver Diseases. Diseases. 2016;4:38. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Inohara H, Akahani S, Koths K, Raz A. Interactions between galectin-3 and Mac-2-binding protein mediate cell-cell adhesion. Cancer Res. 1996;56:4530–4534. [PubMed] [Google Scholar]
- 19.Kamezaki H, Kanda T, Wu S, Nakamoto S, Arai M, Maruyama H, et al. Emergence of entecavir-resistant mutations in nucleos(t)ide-naive Japanese patients infected with hepatitis B virus: virological breakthrough is also dependent on adherence to medication. Scand J Gastroenterol. 2011;46:1111–1117. 10.3109/00365521.2011.584898 [DOI] [PubMed] [Google Scholar]
- 20.Tanaka T, Tsukiyama-Kohara K, Yamaguchi K, Yagi S, Tanaka S, Hasegawa A, et al. Significance of specific antibody assay for genotyping of hepatitis C virus. Hepatology. 1994;19:1347–1353. [PubMed] [Google Scholar]
- 21.Ishak K, Baptista A, Bianchi L, Callea F, De Groote J, Gudat F, et al. Histological grading and staging of chronic hepatitis. J Hepatol. 1995;22:696–699. [DOI] [PubMed] [Google Scholar]
- 22.Ichida F, Tsuji T, Omata M, Ichida T, Inoue K, Kamimura T, et al. International Hepatology Communications 1996;6:112–119. [Google Scholar]
- 23.Nakamura M, Kanda T, Nakamoto S, Miyamura T, Jiang X, Wu S, et al. No correlation between PNPLA3 rs738409 genotype and fatty liver and hepatic cirrhosis in Japanese patients with HCV. PLoS One. 2013;8:e81312 10.1371/journal.pone.0081312 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Parikh P, Ryan JD, Tsochatzis EA. Fibrosis assessment in patients with chronic hepatitis B virus (HBV) infection. Ann Transl Med. 2017;5:40 10.21037/atm.2017.01.28 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ichikawa Y, Joshita S, Umemura T, Shobugawa Y, Usami Y, Shibata S, et al. Serum Wisteria floribunda agglutinin-positive human Mac-2 binding protein may predict liver fibrosis and progression to hepatocellular carcinoma in patients with chronic hepatitis B virus infection. Hepatol Res. 2016. March 29. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 26.Nishikawa H, Hasegawa K, Ishii A, Takata R, Enomoto H, Yoh K, et al. A proposed predictive model for advanced fibrosis in patients with chronic hepatitis B and its validation. Medicine (Baltimore). 2016;95:e4679. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wójcik K, Piekarska A, Szymańska B, Jabłonowska E. Hepatic expression of miR-122 and antioxidant genes in patients with chronic hepatitis B. Acta Biochim Pol. 2016;63:527–531. 10.18388/abp.2016_1216 [DOI] [PubMed] [Google Scholar]
- 28.Hayes CN, Akamatsu S, Tsuge M, Miki D, Akiyama R, Abe H, et al. Hepatitis B virus-specific miRNAs and Argonaute2 play a role in the viral life cycle. PLoS One. 2012;7:e47490 10.1371/journal.pone.0047490 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Qiu L, Fan H, Jin W, Zhao B, Wang Y, Ju Y, et al. miR-122-induced down-regulation of HO-1 negatively affects miR-122-mediated suppression of HBV. Biochem Biophys Res Commun. 2010;398:771–777. 10.1016/j.bbrc.2010.07.021 [DOI] [PubMed] [Google Scholar]
- 30.Fan CG, Wang CM, Tian C, Wang Y, Li L, Sun WS, et al. miR-122 inhibits viral replication and cell proliferation in hepatitis B virus-related hepatocellular carcinoma and targets NDRG3. Oncol Rep. 201;26:1281–6. 10.3892/or.2011.1375 [DOI] [PubMed] [Google Scholar]
- 31.Yarushkin AA, Kazantseva YA, Kobelev VS, Pustylnyak YA, Pustylnyak VO. Peroxisome proliferator-activated receptor γ activation inhibits liver growth through miR-122-mediated downregulation of cMyc. Eur J Pharmacol. 2017;797:39–44. 10.1016/j.ejphar.2017.01.016 [DOI] [PubMed] [Google Scholar]
- 32.Kumar S, Batra A, Kanthaje S, Ghosh S, Chakraborti A. Crosstalk between microRNA-122 and FOX family genes in HepG2 cells. Exp Biol Med (Maywood). 2017;242:436–440. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Raitoharju E, Seppälä I, Lyytikäinen LP, Viikari J, Ala-Korpela M, Soininen P, et al. Blood hsa-miR-122-5p and hsa-miR-885-5p levels associate with fatty liver and related lipoprotein metabolism-The Young Finns Study. Sci Rep. 2016;6:38262 10.1038/srep38262 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Bekki Y, Yoshizumi T, Shimoda S, Itoh S, Harimoto N, Ikegami T, et al. Hepatic stellate cells secrete WFA+ -M2BP; its role in biological interactions with Kupffer cells. J Gastroenterol Hepatol. 2016. December 22. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All relevant data are within the paper and its Supporting Information file.