Evidence map›Paper›PMID 39382494›Full record

ArticleThe Indian journal of medical research2024

Hepatitis C virus genotypes among population with reported risk factors in Assam, north-east India: Emergence of genotype-8.

Sagarika Das, Devyashree Medhi, Anjan Jyoti Talukdar, Dina Raja, Kishore Sarma, Anisha Sarma, Lahari Saikia

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sagarika DasDepartment of Microbiology, Gauhati Medical College and Hospital, Guwahati, India.
Devyashree MedhiDepartment of Microbiology, Dhubri Medical College and Hospital, Dhubri, India.
Anjan Jyoti TalukdarDepartment of Medicine, Gauhati Medical College and Hospital, Guwahati, India.
Dina RajaDepartment of Microbiology, Gauhati Medical College and Hospital, Guwahati, India.
Kishore SarmaDepartment of Computational Biology & Biotechnology, Mahapurusha Srimanta Sankaradeva Vishwavidyalaya, Nagaon, Assam, India.
Anisha SarmaDepartment of Microbiology, Gauhati Medical College and Hospital, Guwahati, India.
Lahari SaikiaDepartment of Microbiology, Gauhati Medical College and Hospital, Guwahati, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives Hepatitis C virus (HCV) exhibits extensive genetic diversity in infected hosts. There are few published reports of HCV genotype (GT) distribution from the north-east Indian States lying close to the 'Golden Triangle' known for illicit drug trafficking. Real-time knowledge of HCVGT distribution is important for studies on epidemiologic aspects and virus evolution and for the development of new target-specific, direct-acting antiviral drugs. This study aims to examine the distribution of HCVGTs and their subtypes in different risk groups from Assam, north-east India. Methods It is a hospital-based cross-sectional study. Plasma samples reactive for anti-HCV antibody in enzyme-linked immunosorbent assay (ELISA) were subjected to viral load test and genotyping by real-time Reverse Transcription-Polymerase Chain Reaction (RT-PCR) or characterization of non-structural protein NS5B region by nested PCR. Nucleotide sequences were subjected to phylogenetic analysis. Results The most common HCVGT detected was GT-3 (95.89%), followed by GT-1 (3.42%), GT-6xa (0.34%) and GT-8 (0.34%). The mean age of subjects was 30.24 yr, and males outnumbered females. The most commonly associated risk factor was injecting drug use (IDU) (74.31%), followed by tattooing and/or piercing (33.22%), transfusion of blood/blood products (10.27%), and haemodialysis (9.25%). Co-infection with human immunodeficiency virus (HIV) was found in 17.8 per cent, and with Hepatitis B virus (HBV) in 3.42 per cent of the cases. Interpretation & conclusions The detection of HCVGT-8 makes this the first report from Assam and the second from India as per the authors' knowledge. This may indicate strain's endemic nature in India. The increasing trend of HCV infection among young IDUs and HCV-HIV co-infection indicates the need for enhancing surveillance and intensified prevention efforts among young adults.

Indexed as

GenotypeHepacivirusHepatitis CPhylogenyAdolescentAdultCross-Sectional StudiesFemaleHIV InfectionsHumansIndiaMaleMiddle AgedRisk FactorsViral LoadViral Nonstructural ProteinsViral Nonstructural ProteinsGenotype-8HCV genotypesHCV-HIV co-infectionhepatitis C virusintravenous drug userNS5B region

Identifiers

PMID39382494
PMCPMC11463879

What Socratic holds

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LicenceCC BY-NC-SA
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.