| Literature DB >> 24244713 |
Edmondo Falleti1, Sara Cmet, Carlo Fabris, Giovanna Fattovich, Annarosa Cussigh, Davide Bitetto, Elisa Ceriani, Ilaria Lenisa, Denis Dissegna, Donatella Ieluzzi, Anna Rostello, Mario Pirisi, Pierluigi Toniutto.
Abstract
Vitamin D serum levels seem to influence antiviral response in chronic hepatitis C. Vitamin D pathway is controlled by genes presenting functional single nucleotide polymorphisms (SNPs). Data regarding the association between these polymorphisms and the rate of sustained viral response (SVR) following antiviral treatment in chronic hepatitis C virus (HCV) infection are largely incomplete. Aim of this study was to evaluate if the carriage of different SNPs of these genes could influence the rate of SVR in patients treated with interferon plus ribavirin. Two hundred and six HCV positive patients treated with PEG-interferon plus ribavirin were retrospectively evaluated. Polymorphic loci rs7041 G>T and rs4588 C>A of the vitamin D transporter GC-globulin, rs10741657 G>A of the vitamin D 25 hydroxylase CYP2R1 and rs10877012 G>T of vitamin D 1-hydroxylase CYP27B1 were genotyped. A genetic model named VDPFA (vitamin D Pathway Functional Alleles) was constructed considering for each patient the sum (from 0 to 8), derived from every functional allele carried, associated with the achievement of SVR. Three groups were identified: those carrying ≤4 VDPFA (N=108), those carrying 5-6 VDPFA (N=78) and those carrying ≥7 VDPFA (N=20). Significant associations were found between the rates of SVR and the VDPFA value both in all (61/108, 53/78, 17/20, p=0.009) and in 1/4-5 HCV genotypes (17/56, 23/43, 6/8, p=0.003). Moreover in patients who don't achieve rapid viral response (RVR) SVR and VDPFA were found to be in stronger associations in all (12/55, 17/39, 7/9, p<0.001) and in 1/4-5 HCV genotypes (4/41, 12/31, 5/6, p=0.001). VDPFA value ≥7 could aid to select, among RVR negative difficult to treat 1/4-5 HCV genotypes, those achieving SVR. These observations could permit to extend the indication to adopt dual antiviral therapy beyond RVR positivity rule without reducing the chances of SVR.Entities:
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Year: 2013 PMID: 24244713 PMCID: PMC3828272 DOI: 10.1371/journal.pone.0080764
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic and clinical characteristics of the studied population at baseline (N=206).
| Age years | 48 (40-60) | |
| Female gender | 100 (48.5%) | |
| Body mass index kg/m2 | 24 (22-27) | |
| HCV genotypes | 1 | 92 (44.7%) |
| 2 | 61 (29.6%) | |
| 3 | 38 (18.4%) | |
| 4-5 | 15 (7.3%) | |
| HCV RNA (x 103 IU/mL) | 700 (292-1717) | |
| Cholesterol mg/dL | 170 (145-194) | |
| ALT IU/mL | 68 (41-115) | |
| γ-GT IU/mL | 38 (21-72) | |
| HOMA | 1.9 (1.0-3.5) | |
| Use of pegylated interferon-α-2a | 61 (29.6%) | |
| Grading pre-treatment* | 2 (2-4) | |
| Staging pre-treatment* | 2 (1-3) | |
| Alcohol consumption g/day | 0 (0-10) | |
Continuous variables are presented as median (inter-quartile range) while categorical variables are presented as frequencies (%). ALT=alanine aminotransferase, γ-GT=gamma-glutamyl transpeptidase, HOMA=homeostasis model assessment, * available in 142 patients
Rates of sustained viral response in chronic hepatitis C virus (HCV) infected patients treated with pegylated interferon-α and ribavirin in relationship to baseline demographic and clinical predictors.
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| N=131 (63.6%) | p | N=46 (43.0%) | p | |
| Age <50 years | 73 (55.7%) | 0.823 | 32 (69.6%) | 0.340 |
| Female gender | 65 (49.6%) | 0.683 | 20 (43.5%) | 0.803 |
| Body mass index <25 Kg/m2 | 84 (64.1%) | 0.250 | 32 (69.6%) | 0.340 |
| HOMA index <3 | 97 (74.0%) | 0.185 | 36 (78.3%) | 0.208 |
| Cholesterol >200 mg/dL | 36 (27.5%) | 0.002 | 11 (23.9%) | 0.024 |
| ALT <60 IU/mL | 57 (43.5%) | 0.623 | 22 (47.8%) | 0.592 |
| γ-GT <80 IU/mL | 114 (87.0%) | <0.001 | 39 (84.8%) | 0.016 |
| HCV RNA <600.000 IU/mL | 59 (45.0%) | 0.281 | 27 (58.7%) | 0.020 |
| HCV genotype 2-3 | 85 (64.9%) | <0.001 | - | - |
| Use of pegylated interferon-α-2b | 88 (67.2%) | 0.182 | 26 (56.5%) | 0.039 |
| Cumulative dose of double therapy >80% | 113 (86.3%) | 0.021 | 38 (82.6%) | 0.205 |
| Alcohol consumption <20 g/day | 115 (87.8%) | 0.739 | 40 (87.0%) | 0.806 |
| IL-28B rs12979860 C/C | 60 (45.8%) | <0.001 | 24 (52.2%) | <0.001 |
| 25(OH) vitamin D >15 ng/mL | 98 (74.8%) | 0.026 | 38(82.6%) | 0.009 |
Data are presented for all and difficult to treat HCV genotypes. The statistical analysis was performed by means of Pearson chi-square test. HOMA=homeostasis model assessment, ALT=alanine aminotransferase, γ-GT=gamma-glutamyl transpeptidase, IL-28B=interleukin 28B
Rates of sustained viral response (SVR) in relationship with GC rs7041 G>T, GC rs4588 C>A, CYP2R1 rs10741657 G>A, CYP27B1 rs10877012 G>T polymorphic loci allele frequencies.
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| N=131 | N=75 | N=46 | N=61 | ||||||||
| GC rs7041 G>T | G | 0.561 | 0.540 | 1.089 | 0.713-1.663 | 0.679 | 0.565 | 0.549 | 1.067 | 0.596-1.910 | 0.815 |
| GC rs4588 C>A | C | 0.741 | 0.707 | 1.184 | 0.739-1.897 | 0.458 | 0.826 | 0.713 | 1.911 | 0.936-3.934 | 0.055 |
| CYP2R1 rs10741657 G>A | G | 0.733 | 0.607 | 1.778 | 1.135-2.788 | 0.008 | 0.707 | 0.607 | 1.562 | 0.843-2.900 | 0.129 |
| CYP27B1 rs10877012 G>T | T | 0.290 | 0.253 | 1.204 | 0.746-1.947 | 0.422 | 0.304 | 0.238 | 1.403 | 0.730-2.968 | 0.275 |
Data are presented considering all patients and difficult to treat HCV genotypes. The statistical analysis was performed by means of Pearson chi-square test. O.R.=odds ratio, C.I.=confidence interval
Figure 1Viral response in relationship with Vitamin D Pathway Functional Alleles (VDPFA).
Rates of rapid viral response (RVR), complete early viral response (cEVR), end of treatment viral response (EOT) and sustained viral response (SVR) in relationship with the number of Vitamin D Pathway Functional Alleles (VDPFA) carried. Data refer to all patients. Statistical analysis was performed by means of chi-square test for linear trend.
Rates of rapid viral response (RVR), complete early viral response (cEVR), end of treatment viral response (EOT) and sustained viral response (SVR) in relationship with the number of Vitamin D Pathway Functional Alleles (VDPFA) carried. Data refer to difficult to treat HCV genotypes. Statistical analysis was performed by means of chi-square test for linear trend.
Figure 2Effect of Vitamin D Pathway Functional Alleles (VDPFA) on antiviral response in RVR negative patients.
Rates of sustained viral response (SVR) in patients not achieving rapid viral response (RVR negative) in relationship with the number of Vitamin D Pathway Functional Alleles (VDPFA) carried. Statistical analysis was performed by means of chi-square test for linear trend.
Stepwise logistic regression analysis in identifying the independent predictors of sustained viral response.
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| O.R. | 95% C.I. | p | O.R. | 95% C.I. | p | |
| HCV genotypes: 2-3 Vs 1/4-5 | 8.51 | 3.93-18.4 | <0.001 | - | - | - | |
| IL-28B genotype: C/C Vs T/* | 2.51 | 1.14-5.53 | 0.009 | 10.3 | 3.22-32.8 | <0.001 | |
| HCV-RNA kIU/mL: ≤600 Vs >600 | 2.80 | 1.30-6.04 | 0.019 | 5.23 | 1.81-15.1 | 0.001 | |
| VDPFA: >5 Vs ≤5 | 2.30 | 1.02-5.22 | 0.040 | 3.19 | 1.08-9.40 | 0.038 | |
| Cholesterol mg/dL: >200 Vs ≤200 | 4.01 | 1.39-11.6 | 0.018 | 4.66 | 1.13-19.1 | 0.039 | |
| Serum γ-GT IU/mL: ≤80 Vs >80 | 3.31 | 1.42-7.71 | 0.001 | 3.42 | 1.06-11.1 | 0.030 | |
| 25(OH) vitamin D ng/mL: >15 Vs ≤15 | 2.42 | 1.05-5.59 | 0.019 | - | - | - | |
Data are presented considering all patients and difficult to treat HCV genotypes. The variables included in the analysis were those reported in table 2 plus the VDPFA genetic model (>5 Vs ≤5 functional alleles). O.R.=odds ratio, C.I.=confidence interval, IL-28B=interleukin 28B, VDPFA: Vitamin D Pathway Functional Alleles (G for GC rs7041, C for GC rs4588, G for CYP2R1 rs10741657 and T for CYP27B1 rs10877012 loci), PEG-IFN: pegylated interferon; γ-GT=gamma-glutamyl transpeptidase.
Stepwise logistic regression analysis in identifying the independent predictors of sustained viral response in patients not achieving rapid viral response.
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| O.R. | 95% C.I. | p | O.R. | 95% C.I. | p | ||
| HCV genotypes: 2-3 Vs 1/4-5 | 5.90 | 1.75-19.9 | 0.003 | - | - | - | |
| VDPFA: >5 Vs ≤5 | 4.54 | 1.35-15.3 | 0.018 | 4.48 | 1.19-16.8 | 0.026 | |
| Serum γ-GT IU/mL: ≤80 Vs >80 | 6.89 | 1.47-32.2 | 0.012 | 6.54 | 1.15-37.1 | 0.018 | |
| PEG-IFN-α-2b Vs PEG-IFN α-2a | 4.56 | 1.42-14.6 | 0.030 | 4.51 | 1.25-16.3 | 0.025 | |
| HOMA index < 3 Vs ≥3 | 3.80 | 1.01-14.3 | 0.008 | - | - | - | |
| Cholesterol mg/dL: >200 Vs ≤200 | - | - | - | 5.46 | 1.09-27.5 | 0.034 | |
The variables included in the analysis were those reported in table 2 plus the VDPFA genetic model (>5 Vs ≤5 functional alleles). O.R.=odds ratio, C.I.=confidence interval, IL-28B=interleukin 28B, VDPFA: Vitamin D Pathway Functional Alleles (G for GC rs7041, C for GC rs4588, G for CYP2R1 rs10741657 and T for CYP27B1 rs10877012 loci), PEG-IFN: pegylated interferon; γ-GT=gamma-glutamyl transpeptidase.