Skip to main content
Erschienen in: BMC Gastroenterology 1/2017

Open Access 01.12.2017 | Research article

CCL4 is the only predictor for non-responder in GT-1 CHC patients with favorable IL28B genotype when treated with PegIFN/RBV

verfasst von: Chia-Chen Lin, Shih-Huan Su, Wen-Juei Jeng, Chien-Hao Huang, Wei Teng, Wei-Ting Chen, Yi-Cheng Chen, Chun-Yen Lin, I-Shyan Sheen

Erschienen in: BMC Gastroenterology | Ausgabe 1/2017

Abstract

Background

Chemokines/cytokines play important roles in the pathogenesis of chronic hepatitis C (CHC). However, their clinical characteristics and implications in treatment responses to pegylated interferon plus ribavirin treatment (PegIFN/RBV) have not been fully illustrated yet. In this study, we intended to investigate the possible predictability of serum chemokines/cytokines on the treatment response in Taiwanese of CHC, genotype-1 (GT-1).

Methods

60 Patients with GT-1 CHC infection who had been treated with PegIFN/RBV were enrolled, including 27 (45%) with sustained virological response (SVR), 11 (18%) with relapse after 48 weeks of treatment and 22 (37%) non-response (NR). Clinical parameters, seven chemokines/cytokines, CCL3, CCL4, CXCL9, CXCL10, CXCL11, IL-10 and IFN-γ, and genotypes of rs12979860, the single nucleotide polymorphisms (SNPs) of interleukin-28B (IL28B) were analyzed for their relationship to treatment response.

Results

Baseline serum levels of CXCL10, CXCL11, CCL3 and CCL4 were significantly higher in NR group while comparing with non-NR group. (CXCL10: p = 0.001; CXCL11: p < 0.001; CCL3: p = 0.006; CCL4: p = 0.005). However, only rs12979860 CC genotype was the independent factors for NR in GT-1 CHC infection (OR, 8.985; p = 0.008). In addition, baseline serum level of CCL4 was found to be the only independent factor for NR in GT-1 CHC patients with favorable IL28B genotype (OR, 1.134; p = 0.039).

Conclusions

IL28B genotype is the predictor for NR in GT-1 CHC patients treated with PegIFN/RBV, while baseline serum level of CCL4 is the only predictor for NR in GT-1 CHC patients with favorable IL28B genotype.
Abkürzungen
CHC
Chronic hepatitis C
DAAs
Direct antiviral agents
EVR
Early virological responses
GT-1
Genotype-1
HCC
Hepatocellular carcinoma
IL28B
Interleukin-28B
NR
Non-response
PegIFN/RBV
Pegylated interferon plus ribavirin treatment
RVR
Rapid virological response
SVR
Sustained virological response

Background

Chronic hepatitis C is currently one of the leading causes of cirrhosis and hepatocellular carcinoma (HCC) in the whole-wide world [1, 2]. Eradication of HCV virus infection could reduce the risk of cirrhosis, hepatocellular carcinoma and hepatic decompensation [3, 4]. Though the direct antiviral agents (DAAs) are now the standard of care in Western countries [5], dual therapy of pegylated interferon-α/ribavirin (PegIFN/RBV) still is a popular and effective treatment in several countries where DAAs are not available or not affordable [68]. In the treatment with PegIFN/RBV, the patients with non-response (NR) are a troublesome group of patients [9]. Even in the era of DAAs, NR group also highlight a special group of patient that needs special attention [10]. Recently, in the present newer generation of DAAs, this group of patients has finally achieved satisfactory SVR rate. However, in the next development of chronic hepatitis C treatment, shorter duration of interferon-free DAAs will be a hot issue to be investigated [11]. In this possible new trend of treatment development, this potential NR group is worthy of re-revaluation.
Host immune response strongly correlates to the success of antiviral treatment. According to the previous studies, chemokines/cytokines do play important roles in the pathogenesis of chronic hepatitis C. Chemokines and chemokine receptors are crucial in T cell recruitment into infected sites and are involved in inflammation, infection and tissue damage [12, 13]. Type I interferons upregulate either directly or indirectly the expression of CCL3–5, which were potent ligands of the chemokine receptors CCR5 and CCR1. Similarly, Type II interferons are recognized as the most potent inducers of CXCL9–10, which bind to the chemokine receptor-CXCR3 [13]. A previous study revealed that the predominant liver infiltration by majorly CCR5 high/ CXCR3 high phenotype CD8+ lymphocytes in GT-1 CHC patients correlates to intrahepatic chemokine expression level and the inflammatory activity of chronic hepatitis C [14, 15]. However, the clinical implications in treatment responses to pegylated interferon plus ribavirin (PegIFN/RBV) treatment have not yet been fully illustrated. In the era of PegIFN/RBV treatment, the treatment would be terminated if HCV RNA still detectable by 24 weeks (so-called NR). The host immune reaction between non-responder and responder under Peg-IFN/RBV remained unclear. Here, we examined the impact of cytokine and chemokine (CXCL9, CXCL10, CXCL11, CCL3, CCL4, IFN-γ and IL10) from peripheral blood mononuclear cells between NR and non-NR to elucidate why host immune failed to response toward PegIFN/RBV treatment.

Methods

Patient recruitment

We retrospectively analyzed naive GT-1 CHC patients who had been treated with PegIFN/RBV at Chang Gung Memorial Hospital, Linkou Medical center with available stored serum between 2011 and 2013. There were 22 patients with treatment outcome of non-responder. Therefore, 38 age and gender matched non-NR patients with stored serum were recruited as well (Table 1). Patients with other concomitant liver diseases, such as hepatitis B virus, human immunodeficiency virus, alcoholic liver disease, and autoimmune hepatitis, were excluded. Liver cirrhosis was evaluated by liver biopsy or by FIB-4.
Table 1
Baseline Characteristics of CHC, GT1 Patients
Variables
Overall
NR (22)a
non-NR (38)a
P value
Age (years)
58.23 ± 9.19
55.6 ± 9.2
59.8 ± 9.0
0.090
Male (%)
55.0
50.0
57.9
0.599
BMI (Kg/m2)
25.44 ± 3.22
25.5 ± 3.7
25.4 ± 2.9
0.865
AST (U/L)
80.85 ± 40.27
91 ± 48
75 ± 34
0.118
ALT (U/L)
105.63 ± 59.86
108 ± 53
104 ± 64
0.797
HCV RNA (log10 IU/ml)
3.38(5.17)b
2.48(4.74)b
3.72(5.66)b
0.591
Diabetes Mellitus (%)
25.0
13.6
31.6
0.215
IL28B (CC %)
75.0
50.0
89.5
0.001
Liver cirrhosis (%)
28.3
45.5
18.4
0.038
anumber of patients shown in parentheses
bmedian (IQR) shown in parentheses
Data are shown as mean ± standard deviation. Statistic analysis was done by Mann-Whitney test for comparison. Significant P values are shown in bold. AST, aspartate aminotransferase; ALT, alanine aminotransferase; HCV, hepatitis C virus; IL28B, Interleukin-28B
The treatment regimens of our patients were standard weight-based pegylated interferon plus ribavirin (PegIFN/RBV) treatment (peginterferon alfa-2a (180 mcg/week) or peginterferon alfa-2b (1.5 mcg/kg/week) subcutaneously plus weight-based ribavirin (1000 mg/d for weight < 75 kg and 1200 mg/d for weight > 75 kg)). Patients who did not fulfill the 80/80/80 adherence rule were excluded. Patients with no rapid virological response (RVR) had received a 48-week treatment while 24-week treatment for patients with RVR and low baseline viral load (HCV-RNA <0.4 × 106 IU/ml). No early virological responses (EVR) as the stop rule was applied to the treatment regimen. Treatment was terminated if detectable HCV-RNA at week 24 weeks.
Definitions of the treatment responses by serum level of HCV-RNA, assessed according to international definitions, were undetectable HCV-RNA 24 weeks after the cessation of treatment as sustained virological response (SVR), positive HCV-RNA at the end of at least 24 weeks of treatment as NR, and positive HCV-RNA after 48 weeks of treatment as relapser.

Laboratory assay

The HCV-RNA levels were measured by commercial quantitative polymerase chain reaction (PCR) assay, either VERSANT HCV RNA 3.0. Assay (HCV 3.0 bDNA assay, Bayer Diagnostics, Berkeley, Calif., lower limit of detection: 5.2 × 102 IU/ml) or COBAS TaqMan HCV Test (TaqMan HCV; Roche Molecular Systems Inc., Branchburg, N.J., lower limit of detection: 15 IU/ml). Serum sample was tested further by COBAS® AMPLICOR HCV Test, v2.0 (CA V2.0, Roche Diagnostic Systems., lower limit of detection: 50 IU/ml) if non-detection of HCV-RNA by VERSANT HCV RNA 3.0. Assay. HCV genotype was determined by a genotype specific probe based assay in the 5′ untranslated region (LiPA; Innogenetics, Ghent, Belgium).
Seven chemokines and cytokines assessed in this study were CXCL9–11, CCL3–4, IL-10 and IFN-γ. Serum samples were analyzed by BD Cytometric Bead Array Human Inflammatory Cytokines Kit, produced by Becton, Dickinson and Company BD Biosciences, U.S.

Genomic DNA extraction and IL28 B genotyping

Anti-coagulated peripheral blood was obtained from HCV patients. Genomic DNA was isolated from EDTA anti-coagulated peripheral blood using the Puregene DNA isolation kit (Gentra Systems, Minneapolis, MN) as previously described. The oligonucleotide sequences flanking ten IL28B polymorphisms were designed as primers for Taqman allelic discrimination. The allele specific primers for rs12979860 were labeled with a fluorescent dye (FAM and VIC) and used in the PCR reaction. Aliquots of the PCR product were genotyped with allele specific probe of SNPs using real-time PCR (ABI).

Ethics statements

All patients in this study provided written informed consent. The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the ethical committees of Chang Gung Memorial Hospital.

Statistical analysis

Chi-square test was used to compare the categorical variables of the groups. Continuous variables were compared with student’s t test or Mann-Whitney U test. Logistic regression analyses for predictors of treatment response were conducted using patients’ demographic, clinical variables, IL28B SNPs and serum levels of chemokines/cytokines. The clinical variables included gender, age, viral load of HCV-RNA, grading of modified HAI and fibrosis stages, body mass index (BMI), Glycohemoglobin (HbA1c), aspartate aminotransferase (AST), alanine aminotransferase (ALT), and rs12979860 SNPs. The odds ratios (OR) and 95% confidence intervals (95% CI) were also calculated. All P values less than 0.05 by the two-tailed test were considered statistically significant. Variables that achieved a statistical significance less than 0.10 on univariate analysis were entered into multivariate logistic regression analysis to identify the significant independent predictive factors. All statistical analyses were performed with statistical software, SPSS for Windows (version 19, SPSS. Inc., Chicago, IL, USA).

Results

Patients’ characteristics

A total of 60 patients with chronic hepatitis C genotype 1 infection were recruited into analysis. The majority of the patients are non-cirrhotic (71.7%) and more than half are male (55%). Twenty-two patients were NR and the other 38 are responders (non-NR) (including 27 patients with SVR and11 patients with relapse after 48 weeks of treatment (relapser) (Table 1).
By comparison of baseline characteristics, there were no significant differences between NR and non-NR groups in terms of age, gender, BMI, baseline viral load, serum levels of liver enzymes and diabetes mellitus. However, the frequency of IL28B-related rs12979860 CC genotype in NR group was significantly lower than that in non-NR group (NR vs. Non-NR: 50.0% vs. 89.5%, p = 0.001). In addition, a significantly higher percentage of liver cirrhosis was associated in non-response group (NR vs. non-NR = 45.5% vs. 18.4%, p = 0.038) (Table 1).

IL28B genotype is the only predictor for NR

The baseline pre-treatment level of chemokines/cytokines, including CXCL9, CXCL10, CXCL11, CCL3, CCL4, IFN-γ and IL10 were measured between NR and non-NR. CXCL10, CXCL11, CCL3 and CCL 4 were significantly higher in NR group while comparing with non-NR group (CXCL10: NR vs. non-NR = 241.06 ± 289.14 vs. 74.25 ± 122.03, p = 0.001; CXCL11: NR vs. non-NR = 56.35 ± 66.41 vs. 19.14 ± 53.86, p < 0.001; CCL3: NR vs. non-NR = 2.73 ± 4.12 vs. 0.95 ± 2.03, p = 0.006; CCL4: NR vs. non-NR = 50.44 ± 37.00 vs. 28.00 ± 29.91, p = 0.005) (figure 1).
Furthermore, the impacts of these chemokines/cytokines were evaluated along with baseline clinical factors by logistic regression analysis. By univariate logistic regression analysis (Table 2), rs12979860 CC genotype, CXCL10, CXCL11, CCL3, CCL4 and liver cirrhosis were the factors for non-NR. However, rs12979860 CC genotype was the only independent factor for NR by multivariate logistic analysis. (Table 2).
Table 2
Predictors of NR in the patients of CHC GT1, Treated with P/R by univariate and multivariate Logistic regression analysis
Variables
UV
MV
OR
95%C.I
P value
OR
95%C.I
P value
IL28B
8.500
2.246–32.174
0.002
8.985
1.778–45.406
0.008
CXCL9
1.000
0.999–1.001
0.584
   
CXCL10
1.005
1.001–1.009
0.012
1.004
0.997–1.011
0.292
CXCL11
1.011
1.001–1.021
0.039
0.999
0.985–1.013
0.839
CCL3
1.270
0.987–1.634
0.064
1.292
0.910–1.835
0.152
CCL4
1.021
1.003–1.039
0.022
1.011
0.980–1.042
0.500
IFN-γ
1.015
1.022–0.696
0.663
   
IL10
1.023
0.845–0.397
0.800
   
Liver cirrhosis
0.271
0.084–0.876
0.029
0.267
0.058–1.223
0.089
UV Univariate logistic regression analysis. MV Multivariate logistic regression analysis. OR Odds ratio, CI Confidence interval
Significant P values are shown in bold

CCL4 is the only predictor in CHC GT1 patients with advantageous IL28B genotype

The IL28B genotype polymorphism has significant impact on the treatment outcome with PegIFN/RBV but host immune factors for prediction of NR among the patients with advantageous rs12979860 CC allele were uncertained. Considering patients with rs12979860 CC allele, higher percentage of cirrhosis in the patients with NR was revealed (NR vs. non-NR = 45.5% vs. 17.6%, p = 0.039) (Table 3), and so were CXCL10, CXCL11, CCL3 and CCL 4 (CXCL10: NR vs. non-NR = 257.40 ± 344.48 vs. 63.43 ± 105.32, p = 0.004; CXCL11: NR vs. non-NR = 54.98 ± 68.95 vs. 13.78 ± 40.60, p < 0.001; CCL3: NR vs. non-NR = 3.87 ± 5.50 vs. 0.87 ± 2.05, p = 0.005; CCL4: NR vs. non-NR = 60.89 ± 43.32 vs. 25.73 ± 25.64, p = 0.007) (figure 2). CXCL10, CXCL11, CCL3, CCL4 and liver cirrhosis were the predictive factors for non-NR by univariate logistic analysis, but only the CCL4 was the independent predictor for non-NR by multivariate logistic analysis. (Table 4) Thus, our study indicated the advantageous genotype of IL28B is the only predictor for NR. As for patients with CC allele of rs12979860, higher baseline level of CCL4 is the only predictor for NR.
Table 3
Baseline Characteristics of CHC, GT1 and IL28B-CC patients
Variables
Overall
NR (11)a
non-NR (34)a
P value
Age (years)
59.60 ± 8.62
60.00 ± 7.01
59.47 ± 9.17
0.862
Male (%)
60.0
63.6
58.8
0.725
BMI (Kg/m2)
25.24 ± 3.01
25.56 ± 3.39
25.14 ± 2.92
0.693
AST (U/L)
75.76 ± 35.93
85 ± 42
73 ± 34
0.313
ALT (U/L)
98.82 ± 55.79
104 ± 56
97 ± 56
0.741
HCV RNA (log10 IU/ml)
2.39(6.22)b
4.09(12.27)b
3.97(5.56)b
0.927
Diabetes Mellitus (%)
26.7
13.6
32.3
0.072
Liver cirrhosis (%)
24.4
45.5
17.6
0.039
anumber of patients shown in parentheses
bmedian (IQR) shown in parentheses
Data are shown as mean ± standard deviation. Statistic analysis was done by Mann-Whitney test for comparison. Significant P values are shown in bold. AST, aspartate aminotransferase; ALT, alanine aminotransferase; HCV, hepatitis C virus; IL28B, Interleukin-28B
Table 4
Predictors of NR in the patients of CHC GT1 and IL28B-CC, Treated with P/R by univariate and multivariate Logistic regression analysis
Variables
UV
MV
OR
95%C.I
P value
OR
95%C.I
P value
CXCL9
1.001
1.000–1.002
0.117
   
CXCL10
1.006
1.000–1.012
0.034
0.985
0.965–1.005
0.150
CXCL11
1.014
1.000–1.029
0.054
1.020
0.995–1.046
0.118
CCL3
1.305
0.998–1.706
0.052
4.822
0.407–57.146
0.212
CCL4
1.032
1.007–1.057
0.010
1.134
1.006–1.277
0.039
IFN-γ
0.948
0.830–1.084
0.439
   
IL10
0.943
0.720–1.236
0.673
   
Liver cirrhosis
0.257
0.059–1.128
0.072
0.005
0.000–1.108
0.055
UV Univariate logistic regression analysis. MV Multivariate logistic regression analysis. OR Odds ratio, CI Confidence interval
Significant P values are shown in bold

Discussion

In the present study, we focus on this group of patients with NR and found the rs12979860 non-CC genotype were strongly associated with treatment outcome of NR. Furthermore, in patients with advantageous rs12979860 CC genotype, higher baseline serum level of CCL4 was the only factor that is independently associated with non-response.
The role of IL28B genotype in predicting Peg/RBV treatment outcome like non-responder had been explored before like our previous studies [16, 17] and others [1820]. Interesting, in the rapid advance of DAAs treatment, the role of IL28B on the SVR had gradually dwindled when treatment regimen are non- pegylated-IFN based [21]. However, in consideration of minor group with possible treatment failure by DAAs, the IL28B might still have impacts on the outcome [21].
The finding about chemokines be influential to the treatment outcome was compatible with another report that serum CXCL10 and CCL4 levels decreased significantly in GT-1 CHC patients with virological response [22]. Furthermore, CCL3, CCL4, CCL5, CXCL9, CXCL10 and CXCL11 were found to increase in both liver and peripheral blood during chronic hepatitis C in several studies [14, 22, 23]. The intra-hepatic levels of CXCL11 and CXCL10 were reported to correlate with HCV disease severity [13]. Patients with high CXCL10 at baseline were much less likely to achieve SVR, and the CXCL10 level was observed to be decreased following successful antiviral therapy [24, 25]. In HCV-infected livers, inflammation and fibrosis are mainly located in the portal areas, which may explain the up-regulation of CCL3–5 in the portal tracts [13]. However, the relationship existed between CCL3, CCL4 levels and the therapeutic responses were still controversial. A study showed that a low pretreatment CCL4 concentration was not only an independent predictor of early but also sustained virological response in CHC patients, while another study didn’t found significant differences [26, 27]. Interestingly, patients of advantageous IL28B genotype predominated among all recruited patients in the former study. To the best of our knowledge, no study yet had analyzed baseline CCL4 level in patient groups of advantageous IL28B genotype.
There were some limitations for this study. First of all, it was a retrospective study. However, in the new era of DAAs treatment, it is difficult to conduct a large-scale study just focused on PegIFN/RBV treatment. In addition, it is a medium-size study with case number of 60. However, in this scale of study, the serum levels of CCL4 become the only predictor for NR in patients with advantageous IL28B genotype. Therefore, it has emphasized the importance of CCL4 among other serum chemokines, especially in considering the future shorter duration of treatment for chronic hepatitis C patients receiving shorter duration of interferon-free DAAs.

Conclusion

IL28B genotype is the predictor for non-responder in GT-1 CHC patients treated with PegIFN/RBV, while baseline serum level of CCL4 is the only predictor for non-responder in GT-1 CHC patients with favorable IL28B genotype.

Acknowledgements

All the authors have read this manuscript and approved the submission for publication. All authors fulfill the criteria given in the Authorship defined by your journal.
All authors concur with the submission and none of the data have been previously reported or are under consideration for publication elsewhere. No conflict of interest exists for any of the authors.

Funding

This work was supported by CMRPG3A1021, CMRPG3A1022, and CMRPG3A1023 from Medical Research Project Fund, Chang Gung Memorial Hospital, and 104–2815-C-182A-004-B from Ministry of Science and Technology, Taiwan.

Availability of data and materials

The datasets during and/or analysed during the current study available from the corresponding author on reasonable request.
In this study, all patients provided written informed consent. The study protocol conformed to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the ethical committees of Chang Gung Memorial Hospital.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
2.
3.
Zurück zum Zitat Pockros PJ, et al. Histologic outcomes in hepatitis C–infected patients with varying degrees of virologic response to interferon-based treatments. Hepatology. 2010;52(4):1193–200.CrossRefPubMed Pockros PJ, et al. Histologic outcomes in hepatitis C–infected patients with varying degrees of virologic response to interferon-based treatments. Hepatology. 2010;52(4):1193–200.CrossRefPubMed
4.
Zurück zum Zitat Swain MG, et al. A sustained virologic response is durable in patients with chronic hepatitis C treated with peginterferon alfa-2a and ribavirin. J Gastro. 2010;139(5):1593–601.CrossRef Swain MG, et al. A sustained virologic response is durable in patients with chronic hepatitis C treated with peginterferon alfa-2a and ribavirin. J Gastro. 2010;139(5):1593–601.CrossRef
5.
Zurück zum Zitat Panel AIHG. Hepatitis C guidance: AASLD-IDSA recommendations for testing, managing, and treating adults infected with hepatitis C virus. Hepatology. 2015;62(3):932–54.CrossRef Panel AIHG. Hepatitis C guidance: AASLD-IDSA recommendations for testing, managing, and treating adults infected with hepatitis C virus. Hepatology. 2015;62(3):932–54.CrossRef
6.
Zurück zum Zitat Asselah T, Marcellin P. New direct-acting antivirals' combination for the treatment of chronic hepatitis C. Liver Int. 2011;31:68–77.CrossRefPubMed Asselah T, Marcellin P. New direct-acting antivirals' combination for the treatment of chronic hepatitis C. Liver Int. 2011;31:68–77.CrossRefPubMed
7.
Zurück zum Zitat Mangia A, Andriulli A. Tailoring the length of antiviral treatment for hepatitis C. Gut. 2010;59(1):1–5.CrossRefPubMed Mangia A, Andriulli A. Tailoring the length of antiviral treatment for hepatitis C. Gut. 2010;59(1):1–5.CrossRefPubMed
8.
Zurück zum Zitat Yu M-L, Chuang W-L. Treatment of chronic hepatitis C in Asia: when east meets west. J Gastroenterol Hepatol. 2009;24(3):336–45.CrossRefPubMed Yu M-L, Chuang W-L. Treatment of chronic hepatitis C in Asia: when east meets west. J Gastroenterol Hepatol. 2009;24(3):336–45.CrossRefPubMed
9.
10.
Zurück zum Zitat Wendt A, Bourlière M. An update on the treatment of genotype-1 chronic hepatitis C infection: lessons from recent clinical trials. Ther Adv Infect Dis. 2013;1(6):191–208.CrossRefPubMedPubMedCentral Wendt A, Bourlière M. An update on the treatment of genotype-1 chronic hepatitis C infection: lessons from recent clinical trials. Ther Adv Infect Dis. 2013;1(6):191–208.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat Asselah T, Boyer N, Saadoun D, Martinot-Peignoux M, Marcellin P. Direct-acting antivirals for the treatment of hepatitis C virus infection: optimizing current IFN-free treatment and future perspectives. Liver Int. 2016;36:45–57.CrossRef Asselah T, Boyer N, Saadoun D, Martinot-Peignoux M, Marcellin P. Direct-acting antivirals for the treatment of hepatitis C virus infection: optimizing current IFN-free treatment and future perspectives. Liver Int. 2016;36:45–57.CrossRef
12.
Zurück zum Zitat Charo IF, Ransohoff RM. The many roles of chemokines and chemokine receptors in inflammation. N Engl J Med. 2006;354:610–21.CrossRefPubMed Charo IF, Ransohoff RM. The many roles of chemokines and chemokine receptors in inflammation. N Engl J Med. 2006;354:610–21.CrossRefPubMed
13.
Zurück zum Zitat Wald O, Weiss ID, Galun E, Peled A. Chemokines in hepatitis C virus infection: pathogenesis, prognosis and therapeutics. Cytokine. 2007;39(1):50–62.CrossRefPubMed Wald O, Weiss ID, Galun E, Peled A. Chemokines in hepatitis C virus infection: pathogenesis, prognosis and therapeutics. Cytokine. 2007;39(1):50–62.CrossRefPubMed
14.
Zurück zum Zitat Apolinario A, et al. Increased expression of T cell chemokines and their receptors in chronic hepatitis C: relationship with the histological activity of liver disease. Am J Gastroenterol Suppl. 2002;97(11):2861–70.CrossRef Apolinario A, et al. Increased expression of T cell chemokines and their receptors in chronic hepatitis C: relationship with the histological activity of liver disease. Am J Gastroenterol Suppl. 2002;97(11):2861–70.CrossRef
15.
Zurück zum Zitat Larrubia JR, et al. The role of CCR5/CXCR3 expressing CD8+ cells in liver damage and viral control during persistent hepatitis C virus infection. J Hepatol. 2007;47(5):632–41.CrossRefPubMed Larrubia JR, et al. The role of CCR5/CXCR3 expressing CD8+ cells in liver damage and viral control during persistent hepatitis C virus infection. J Hepatol. 2007;47(5):632–41.CrossRefPubMed
16.
Zurück zum Zitat Lin C-Y, et al. IL28B SNP rs12979860 is a critical predictor for on-treatment and sustained virologic response in patients with hepatitis C virus genotype-1 infection. PLoS One. 2011;6(3):e18322.CrossRefPubMedPubMedCentral Lin C-Y, et al. IL28B SNP rs12979860 is a critical predictor for on-treatment and sustained virologic response in patients with hepatitis C virus genotype-1 infection. PLoS One. 2011;6(3):e18322.CrossRefPubMedPubMedCentral
17.
Zurück zum Zitat Lin C-Y, Sheen I-S, Jeng W-J, Huang C-W, Huang C-H, Chen J-Y. Patients younger than forty years old with hepatitis C virus genotype-1 chronic infection had treatment responses similar to genotype-2 infection and not related to interleukin-28B polymorphism. Ann Gastroentol Hepatol. 2013;12(1):62–9. Lin C-Y, Sheen I-S, Jeng W-J, Huang C-W, Huang C-H, Chen J-Y. Patients younger than forty years old with hepatitis C virus genotype-1 chronic infection had treatment responses similar to genotype-2 infection and not related to interleukin-28B polymorphism. Ann Gastroentol Hepatol. 2013;12(1):62–9.
18.
Zurück zum Zitat Dill MT, et al. Interferon-induced gene expression is a stronger predictor of treatment response than IL28B genotype in patients with hepatitis C. Gastroenterol. 2011;140(3):1021–31.CrossRef Dill MT, et al. Interferon-induced gene expression is a stronger predictor of treatment response than IL28B genotype in patients with hepatitis C. Gastroenterol. 2011;140(3):1021–31.CrossRef
19.
Zurück zum Zitat Ge D, et al. Genetic variation in IL28B predicts hepatitis C treatment-induced viral clearance. Nature. 2009;461(7262):399–401.CrossRefPubMed Ge D, et al. Genetic variation in IL28B predicts hepatitis C treatment-induced viral clearance. Nature. 2009;461(7262):399–401.CrossRefPubMed
20.
Zurück zum Zitat Tanaka Y, et al. Genome-wide association of IL28B with response to pegylated interferon-alpha and ribavirin therapy for chronic hepatitis C. Nat Genet. 2009;41(10):1105–9.CrossRefPubMed Tanaka Y, et al. Genome-wide association of IL28B with response to pegylated interferon-alpha and ribavirin therapy for chronic hepatitis C. Nat Genet. 2009;41(10):1105–9.CrossRefPubMed
21.
Zurück zum Zitat Matsuura K, Watanabe T, Tanaka Y. Role of IL28B for chronic hepatitis C treatment toward personalized medicine. J Gastroenterol Hepatol. 2014;29(2):241–9.CrossRefPubMed Matsuura K, Watanabe T, Tanaka Y. Role of IL28B for chronic hepatitis C treatment toward personalized medicine. J Gastroenterol Hepatol. 2014;29(2):241–9.CrossRefPubMed
22.
Zurück zum Zitat Apolinario A, et al. Increased circulating and intrahepatic T-cell-specific chemokines in chronic hepatitis C: relationship with the type of virological response to peginterferon plus ribavirin combination therapy. Aliment Pharmacol Ther. 2004;19(5):551–62.CrossRefPubMed Apolinario A, et al. Increased circulating and intrahepatic T-cell-specific chemokines in chronic hepatitis C: relationship with the type of virological response to peginterferon plus ribavirin combination therapy. Aliment Pharmacol Ther. 2004;19(5):551–62.CrossRefPubMed
23.
Zurück zum Zitat Larrubia JR, Benito-Martínez S, Calvino M, Sanz-de-Villalobos E, Parra-Cid T. Role of chemokines and their receptors in viral persistence and liver damage during chronic hepatitis C virus infection. World J Gastroenterol. 2008;14(47):7149–59.CrossRefPubMedPubMedCentral Larrubia JR, Benito-Martínez S, Calvino M, Sanz-de-Villalobos E, Parra-Cid T. Role of chemokines and their receptors in viral persistence and liver damage during chronic hepatitis C virus infection. World J Gastroenterol. 2008;14(47):7149–59.CrossRefPubMedPubMedCentral
24.
Zurück zum Zitat Butera D, et al. Plasma chemokine levels correlate with the outcome of antiviral therapy in patients with hepatitis C. Blood. 2005;106(4):1175–82.CrossRefPubMedPubMedCentral Butera D, et al. Plasma chemokine levels correlate with the outcome of antiviral therapy in patients with hepatitis C. Blood. 2005;106(4):1175–82.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Diago M, et al. Association of pretreatment serum interferon gamma inducible protein 10 levels with sustained virological response to peginterferon plus ribavirin therapy in genotype 1 infected patients with chronic hepatitis C. Gut. 2006;55(3):374–9.CrossRefPubMedPubMedCentral Diago M, et al. Association of pretreatment serum interferon gamma inducible protein 10 levels with sustained virological response to peginterferon plus ribavirin therapy in genotype 1 infected patients with chronic hepatitis C. Gut. 2006;55(3):374–9.CrossRefPubMedPubMedCentral
26.
Zurück zum Zitat Florholmen J, et al. A rapid chemokine response of macrophage inflammatory protein (MIP)-1α, MIP-1β and the regulated on activation, normal T expressed and secreted chemokine is associated with a sustained virological response in the treatment of chronic hepatitis C. Clin Microbiol Infect. 2011;17(2):204–9.CrossRefPubMed Florholmen J, et al. A rapid chemokine response of macrophage inflammatory protein (MIP)-1α, MIP-1β and the regulated on activation, normal T expressed and secreted chemokine is associated with a sustained virological response in the treatment of chronic hepatitis C. Clin Microbiol Infect. 2011;17(2):204–9.CrossRefPubMed
27.
Zurück zum Zitat Zhang S, et al. Pretreatment serum macrophage inflammatory protein (MIP)-1 levels predict sustained virological responses to re-treatment in patients with chronic hepatitis C virus infection. Int J Infect Dis. 2015;33:15–21.CrossRefPubMed Zhang S, et al. Pretreatment serum macrophage inflammatory protein (MIP)-1 levels predict sustained virological responses to re-treatment in patients with chronic hepatitis C virus infection. Int J Infect Dis. 2015;33:15–21.CrossRefPubMed
Metadaten
Titel
CCL4 is the only predictor for non-responder in GT-1 CHC patients with favorable IL28B genotype when treated with PegIFN/RBV
verfasst von
Chia-Chen Lin
Shih-Huan Su
Wen-Juei Jeng
Chien-Hao Huang
Wei Teng
Wei-Ting Chen
Yi-Cheng Chen
Chun-Yen Lin
I-Shyan Sheen
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
BMC Gastroenterology / Ausgabe 1/2017
Elektronische ISSN: 1471-230X
DOI
https://doi.org/10.1186/s12876-017-0724-4

Weitere Artikel der Ausgabe 1/2017

BMC Gastroenterology 1/2017 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.