Evidence map›Paper›PMID 28856285›Full record

ArticleClinical and experimental hepatology2017

Association of TNF-α and CCL5 with response to interferon-based therapy in patients with HCV 1 genotype.

Dzmitry Danilau, Dzmitry Litvinchuk, Nikita Solovey, Olga Krasko, Igor Karpov

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Article in Clinical and experimental hepatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dzmitry DanilauBelarusian State Medical University, Minsk, Belarus.
Dzmitry LitvinchukBelarusian State Medical University, Minsk, Belarus.
Nikita SoloveyBelarusian State Medical University, Minsk, Belarus.
Olga KraskoThe United Institute of Informatics Problems of the National Academy of Sciences of Belarus, Minsk, Belarus.
Igor KarpovBelarusian State Medical University, Minsk, Belarus.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim of the studyTo evaluate the role of potential genetic predictors -308G/A TNF-α and -403G/A CCL5 in treatment for HCV 1 genotype. MATERIAL AND

methodsTreatment 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.

resultsIL28B 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).

conclusionsPractitioners may benefit from using these predictors when considering indications for the antiviral therapy and deciding on the treatment regimen.

Indexed as

CCL5IL28Bpeginterferon alfaSNPTNF-α

Identifiers

PMID28856285
PMCPMC5497450

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