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Association of TNF-α and CCL5 with response to interferon-based therapy in patients with HCV 1 genotype.
Danilau, Dzmitry; Litvinchuk, Dzmitry; Solovey, Nikita; Krasko, Olga; Karpov, Igor.
  • Danilau D; Belarusian State Medical University, Minsk, Belarus.
  • Litvinchuk D; Belarusian State Medical University, Minsk, Belarus.
  • Solovey N; Belarusian State Medical University, Minsk, Belarus.
  • Krasko O; The United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk, Belarus.
  • Karpov I; Belarusian State Medical University, Minsk, Belarus.
Clin Exp Hepatol ; 3(1): 16-22, 2017 Mar.
Article en En | MEDLINE | ID: mdl-28856285
ABSTRACT
AIM OF THE STUDY To evaluate the role of potential genetic predictors -308G/A TNF-α and -403G/A CCL5 in treatment for HCV 1 genotype. MATERIAL AND

METHODS:

Treatment results of 130 patients with chronic hepatitis C 1 genotype according to different genotypes of IL28B, CCL5, and TNF-α were analysed using multiple logistic regression.

RESULTS:

IL28B genotypes CC/CT/TT were found in 27 (20.8%), 74 (56.9%), and 29 (22.3%) patients. Genotypes GG/GA/AA of -308G/A TNF-α were revealed in 98 (75.4%), 30 (23.1%), and 2 (1.5%) patients. Genotypes GG/GA/AA of -403G/A CCL5 were revealed in 86 (66.2%), 39 (30%), and 5 (3.8%) patients, respectively. The previously known effect of IL28B was observed. IL28B TT genotype decreased end of treatment response (EOTR) rates by a factor of 29.0 (95% CI 6.4-183). The combination of CCL5 GG and IL28B CT genotypes increased the risk of failure to achieve EOTR by a factor of 28.5 (95% CI 7.2-160). Genotypes GA and AA of TNF-α (-308) G/A SNP increased the risk of relapse in patients who achieved EOTR (OR = 9.4; 95% CI 2.4-48).

CONCLUSIONS:

Practitioners may benefit from using these predictors when considering indications for the antiviral therapy and deciding on the treatment regimen.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Año: 2017 Tipo del documento: Article