Evidence map›Paper›PMID 35613843›Full record

ArticleGut2023

Defining the key intrahepatic gene networks in HCV infection driven by sex.

Emanuele Marchi, Narayan Ramamurthy, M Azim Ansari, Caroline E Harrer, STOP-HCV, Eleanor Barnes, Paul Klenerman

Open access · hybridAbstract read
In one paragraph

Article in Gut, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Emanuele MarchiNuffield Department of Medicine, University of Oxford, Oxford, UK emanuele.marchi@ndm.ox.ac.uk paul.klenerman@ndm.ox.ac.uk.ORCID 0000-0003-1741-9353
Narayan RamamurthyNuffield Department of Medicine, University of Oxford, Oxford, UK.
M Azim AnsariNuffield Department of Medicine, University of Oxford, Oxford, UK.
Caroline E HarrerNuffield Department of Medicine, University of Oxford, Oxford, UK.
STOP-HCV
Eleanor BarnesNuffield Department of Medicine, University of Oxford, Oxford, UK.
Paul KlenermanNuffield Department of Medicine, University of Oxford, Oxford, UK emanuele.marchi@ndm.ox.ac.uk paul.klenerman@ndm.ox.ac.uk.
University of Oxford · GB

Funding

Department of HealthMedical Research Council MR/K01532X/1Wellcome TrustWellcome Trust 220171/Z/20/ZWellcome Trust WT109965MA
6 · The paper itself

Abstract

objectiveThe transcriptional response in the liver during HCV infection is critical for determining clinical outcomes. This issue remains relatively unexplored as tissue access to address this at scale is usually limited. We aimed to profile the transcriptomics of HCV-infected livers to describe the expression networks involved and assess the effect on them of major predictors of clinical outcome such as IFNL4 (interferon lambda 4) host genotype and sex.

designWe took advantage of a large clinical study of HCV therapy accompanied by baseline liver biopsy to examine the drivers of transcription in tissue samples in 195 patients also genotyped genome-wide for host and viral single nucleotide polymorphisms. We addressed the role of host factors (disease status, sex, genotype, age) and viral factors (load, mutation) on transcriptional responses.

resultsWe observe key modules of transcription which can be impacted differentially by host and viral factors. Underlying cirrhotic state had the most substantial impact, even in a stable, compensated population. Notably, sex had a major impact on antiviral responses in concert with IL28B (interleukin 28B)/IFNL4 genotype, with stronger interferon and humoral responses in females. Males tended towards a dominant cellular immune response. In both sexes, there was a strong influence of the underlying host disease status and of specific viral mutations, and sex-specific expression quantitative trait loci were also observed.

conclusionThese features help define the major influences on tissue responses in HCV infection, impacting on the response to treatment and with broader implications for responses in other sex-biased infections.

Indexed as

Gene Regulatory NetworksHepatitis CAntiviral AgentsFemaleGenotypeHepacivirusHumansInterferon LambdaInterleukinsMalePolymorphism, Single NucleotideRibavirinTreatment OutcomeAntiviral AgentsIFNL4 protein, humanInterferon LambdaInterleukinsRibavirinBIOSTATISTICSGENE EXPRESSIONHEPATITIS CINFECTIOUS DISEASEINFLAMMATIONSex immunology

Identifiers

PMID35613843
PMCPMC10086281
OpenAlexW4281489677

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.