| Literature DB >> 27875564 |
Taylor Aiken1, Ari Garber2, Dawn Thomas3, Nicole Hamon3, Rocio Lopez4, Rajesh Konjeti5, Arthur McCullough2, Nizar Zein2, John Fung2, Medhat Askar6, Binu V John5,7.
Abstract
BACKGROUND AND AIMS: Early post-transplant hepatic fibrosis is associated with poor outcomes and may be influenced by donor/recipient genetic factors. The rs368234815 IFNL4 polymorphism is related to the previously described IL28B polymorphism, which predicts etiology-independent hepatic fibrosis. The aim of this study was to identify the impact of donor and/or recipient IFNL4 genotype on early fibrosis among patients transplanted for hepatitis C (HCV).Entities:
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Year: 2016 PMID: 27875564 PMCID: PMC5119817 DOI: 10.1371/journal.pone.0166998
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Identification of Patient Population.
Patient Characteristics.
| Factor | Fibrosis 2-4(N = 33) | Fibrosis 0–1 (N = 83) | p-value |
|---|---|---|---|
| Recipient Age at Transplant | 54.9±6.6 | 56.2±6.3 | 0.33a |
| Recipient Male Sex | 24 (72.7%) | 62 (74.7%) | 0.83c |
| Recipient African-American | 13 (40.6%) | 8(10.4%) | 0.001c |
| Recipient CMV+ | 25 (75.8%) | 59 (71.1%) | 0.61c |
| Diagnosis | 0.090c | ||
| . HCV | 11 (33.3%) | 19 (22.9%) | |
| . HCV + alcohol | 7 (21.2%) | 14 (16.9%) | |
| . HCV + HCC | 11 (33.3%) | 42 (50.6%) | |
| . HCV + alcohol + HCC | 1 (3.0%) | 7 (8.4%) | |
| . HCV + Other | 3 (9.1%) | 1 (1.2%) | |
| HCV Genotype | 0.12c | ||
| . 1 | 29 (87.9%) | 50 (65.8%) | |
| . 2 | 1 (3.0%) | 7 (9.2%) | |
| . 3 | 2 (6.1%) | 15 (19.7%) | |
| . 4 | 1 (3.0%) | 4 (5.3) | |
| Donor Age at Death | 39.5±15.2 | 40.5±13.8 | 0.73a |
| Cold-Ischemia Time | 7.6±1.7 | 7.2±1.7 | 0.38a |
| Donor Risk Index | 2.1±0.51 | 2.1±0.49 | 0.68a |
Values presented as Mean ± SD or N (%).
p-values: a = ANOVA, c = Pearson's chi-square test.
Allele Frequency for Patient Population.
| Overall | Fibrosis 2–4 | Fibrosis 0–1 | |||||
|---|---|---|---|---|---|---|---|
| (N = 116) | (N = 33) | (N = 83) | |||||
| Factor | n | n | n | p-value | |||
| Donor rs368234815 | 114 | 32 | 82 | 0.094 | |||
| . TT/TT | 44 (38.6%) | 17 (53.1%) | 27 (32.9%) | ||||
| . TT/ΔG | 49 (43.0%) | 12 (37.5%) | 37 (45.1%) | ||||
| . ΔG/ΔG | 21 (18.4%) | 3 (9.4%) | 18 (22.0%) | ||||
| Recipient rs368234815 | 104 | 31 | 73 | 0.07 | |||
| . TT/TT | 27 (26.0%) | 4 (12.9%) | 23 (31.5%) | ||||
| . TT/ΔG | 52 (50.0%) | 16 (51.6%) | 36 (49.3%) | ||||
| . ΔG/ΔG | 25 (24.0%) | 11 (35.5%) | 14 (19.2%) | ||||
| Donor rs12979860 | 116 | 33 | 83 | 0.26 | |||
| . C/C | 48 (41.4%) | 17 (51.5%) | 31 (37.3%) | ||||
| . C/T | 49 (42.2%) | 13 (39.4%) | 36 (43.4%) | ||||
| . T/T | 19 (16.4%) | 3 (9.1%) | 16 (19.3%) | ||||
| Recipient rs12979860 | 116 | 33 | 83 | 0.25 | |||
| . C/C | 30 (25.9%) | 5 (15.2%) | 25 (30.1%) | ||||
| . C/T | 61(52.6%) | 20 (60.6%) | 41 (49.4%) | ||||
| . T/T | 25 (21.6%) | 8 (24.2%) | 17 (20.5%) | ||||
Values presented as N (column %) with Pearson’s chi-square test.
Adjusted Comparison of Genotypes.
| Genotype | Unadjusted OR | p-value | Adjusted | p-value |
|---|---|---|---|---|
| Donor rs368234815: TT/TT vs non-TT/TT | 2.33 (1.01, 5.26) | 0.049 | 3.45 (1.32, 9.09) | 0.012 |
| Recipient rs368234815: TT/TT vs non-TT/TT | 0.32 (0.10, 1.03) | 0.056 | 0.53 (0.15, 1.82) | 0.3 |
| Donor rs12979860: CC vs non-CC | 1.79 (0.77, 4.00) | 0.16 | 2.38 (0.94, 6.25) | 0.067 |
| Recipient rs12979860: CC vs non-CC | 0.42 (0.14, 1.19) | 0.10 | 0.45 (0.14, 1.47) | 0.19 |
* Recipient and donor genotypes are adjusted for recipient African-American vs. non-African-American race and recipient diagnosis (HCC vs no-HCC).
Fig 2Kaplan-Meier curves for donor/recipient rs368234815 genotype and donor/recipeient rs12979860 genotype.