Evidence map›Paper›PMID 36168235›Full record

ArticleJournal of medical virology2023

Hepatitis C subtyping assay failure in UK patients born in sub-Saharan Africa: Implications for global treatment and elimination.

Kazeem Adeboyejo, Barnabas J King, Theocharis Tsoleridis, Alexander W Tarr, John McLauchlan, William L Irving, Jonathan K Ball, C Patrick McClure

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Kazeem AdeboyejoSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Barnabas J KingSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Theocharis TsoleridisSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Alexander W TarrSchool of Life Sciences, University of Nottingham, Nottingham, UK.
John McLauchlanMRC-University of Glasgow Centre for Virus Research, Glasgow, UK.
William L IrvingSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Jonathan K BallSchool of Life Sciences, University of Nottingham, Nottingham, UK.
C Patrick McClureSchool of Life Sciences, University of Nottingham, Nottingham, UK.ORCID 0000-0002-1710-1049
University of Nottingham · GBMRC University of Glasgow Centre for Virus Research · GBNottingham University Hospitals NHS Trust · GB

Funding

Department of HealthMedical Research Council MC_PC_20027Medical Research Council MC_UU_12014/1Medical Research Council MR/R010307/1Medical Research Council MR/S009434/1
6 · The paper itself

Abstract

BACKGROUND AND 

aimsThe newly developed direct-acting antivirals have revolutionized the treatment of chronic hepatitis C virus (HCV), with cure rates as high as 98% in some cohorts. Although genome sequencing has demonstrated that some subtypes of HCV naturally harbor drug resistance associated substitutions (RAS), these are often overlooked as "rarities." Furthermore, commercial subtyping assays and associated epidemiological findings are skewed towards Western cohorts and whole-genome sequencing can be problematic to deploy without significant infrastructure and training support. We thus aimed to develop a simple, robust and accurate HCV subtyping pipeline, to optimize and streamline molecular detection and sequence-based typing of diverse RAS-containing subtypes.

methodsHCV serum derived from 146 individuals, whose likely source of infection was from sub-Saharan Africa (SSA) was investigated with a novel panel of single round polymerase chain reaction (PCR) assays targeting NS5B and NS5A genomic regions. Virus subtype assignments were determined by pairwise-distance analysis and compared to both diagnostic laboratory assignments and free-to-use online typing tools.

resultsPartial NS5A and NS5B sequences were respectively obtained from 131 to 135 HCV-positive patients born in 19 different countries from SSA but attending clinics in the UK. We determined that routine clinical diagnostic methods incorrectly subtyped 59.0% of samples, with a further 6.8% incorrectly genotyped. Of five commonly used online tools, Geno2Pheno performed most effectively in determining a subtype in agreement with pairwise distance analysis.

conclusionThis study provides a simple low-cost pathway to accurately subtype in SSA, guide regional therapeutic choice and assist global surveillance and elimination initiatives.

Indexed as

Hepatitis CHepatitis C, ChronicAfrica South of the SaharaAntiviral AgentsDrug Resistance, ViralGenotypeHepacivirusHumansUnited KingdomViral Nonstructural ProteinsAntiviral AgentsViral Nonstructural Proteinsdirect-acting antiviralsgenotypingHCVin house methodRT-PCRSanger sequencing

Identifiers

PMID36168235
PMCPMC10092547
OpenAlexW4297460340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.