Vestnik Rossiiskoi akademii meditsinskikh nauk · 2015
[Mathematic Model for Prediction of Liver Fibrosis Progression Rate in Patients with Chronic Hepatitis C Based on Combination of Genomic Markers].
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Samokhodskaia L M, Starostina E E, Yarovaya E B, Krasnova T N, Mukhin N A, Tkachuk V A, Sadovnichy V A
Аннотация
AIM OF STUDY: To evaluate clinical significance of different combinations of gene polymorphisms IL-1b, IL-6, IL-10, TNF, HFE, TGF-b, ATR1, N0S3894, CYBA, AGT, MTHFR, FII, FV, FVII, FXIII, ITGA2, ITGB3, FBG, PAI and their prognostic value for prediction of liver fibrosis progression rate in patients with chronic hepatitis C (CHC).
SUBJECTS AND METHODS: 118 patients with CHC were divided into "fast" and "slow" (fibrosis rate progression ≥ 0.13 and < 0.13 fibrosis units/yr; n = 64 and n = 54) fibrosis groups. Gene polymorphisms were determined. Statistical analysis was performed using Statistica 10.
RESULTS: A allele (p = 0.012) and genotype AA (p = 0.024) of AGT G-6T gene, as well as T allele (p = 0.013) and MT+TT genotypes (p = 0.005) of AGT 235 M/T gene were significantly more common in "fast fibrosers" than in "slow fibrosers". Patients with genotype TT of CYBA 242 C/T had a higher fibrosis progression rate than patients with CC+CT genotype (p = 0.02). Our analysis showed a protective effect of TTgenotype of ITGA2 807 C/T on fibrosis progression rate (p = 0.03). There was a trend (p < 0.15) to higher fibrosis progression rate in patients with mutant alleles and genotypes of TGFb +915 G/C, FXIII 103 G/T, PAI-675 5G/4G genes. Other gene polymorphisms were not associated with enhanced liver fibrosis. To build a mathematical modelfor prediction of liverfibrosis progression rate we performed coding with scores for genotypes and virus genotype. Total score correlated with the fibrosis progression rate (R = 0.39, p = 0.000).
CONCLUSION: Determination of genetic profile of the patient and virus genotype allows to predict the course of CHC.
SUBJECTS AND METHODS: 118 patients with CHC were divided into "fast" and "slow" (fibrosis rate progression ≥ 0.13 and < 0.13 fibrosis units/yr; n = 64 and n = 54) fibrosis groups. Gene polymorphisms were determined. Statistical analysis was performed using Statistica 10.
RESULTS: A allele (p = 0.012) and genotype AA (p = 0.024) of AGT G-6T gene, as well as T allele (p = 0.013) and MT+TT genotypes (p = 0.005) of AGT 235 M/T gene were significantly more common in "fast fibrosers" than in "slow fibrosers". Patients with genotype TT of CYBA 242 C/T had a higher fibrosis progression rate than patients with CC+CT genotype (p = 0.02). Our analysis showed a protective effect of TTgenotype of ITGA2 807 C/T on fibrosis progression rate (p = 0.03). There was a trend (p < 0.15) to higher fibrosis progression rate in patients with mutant alleles and genotypes of TGFb +915 G/C, FXIII 103 G/T, PAI-675 5G/4G genes. Other gene polymorphisms were not associated with enhanced liver fibrosis. To build a mathematical modelfor prediction of liverfibrosis progression rate we performed coding with scores for genotypes and virus genotype. Total score correlated with the fibrosis progression rate (R = 0.39, p = 0.000).
CONCLUSION: Determination of genetic profile of the patient and virus genotype allows to predict the course of CHC.