Evidence map›Paper›PMID 40255307›Full record

ArticleBioinformation2025

Identification of key candidates associated with chronic hepatitis E viral infection.

Zoya Shafat, Anam Farooqui, Naaila Tamkeen, Nazim Khan, Asimul Islam, Shama Parveen

Abstract read
In one paragraph

Article in Bioinformation, 2025. 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
–field-weighted citation impact
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. 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

6 authors.

Zoya ShafatCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Anam FarooquiCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Naaila TamkeenDepartment of Biosciences, Jamia Millia Islamia, New Delhi, India.
Nazim KhanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Asimul IslamCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.
Shama ParveenCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An in-depth understanding of chronic hepatitis E viral infection is of interest as the underlying molecular mechanisms remain unexplored. An analysis of mRNA expression profile revealed a total of 69, 157 and 411 Differentially Expressed Genes (DEG) for mild, moderate and severe hepatitis E viral infection, respectively. We found 8 up-regulated genes BATF2, OASL, IFI44L, IFIT3, RSAD2, IFIT1, RASGRP3 and IFI27 having association with persistent hepatitis E viral infection. Of these genes, 6 (OASL, IFI27, IFIT1, IFIT3, RSAD2 and IFI44L) were in protein-protein interaction network and at each stage of infection. Thus, this data provides insights into key genes and linked pathways which could be targeted to offer better interventions for chronic hepatitis E viral infection.

Indexed as

chronic hepatitis E viral infectiondifferentially expressed genesenrichment analysisHepatitis E virusprotein-protein interaction network

Identifiers

PMID40255307
PMCPMC12008787

What OpenQuestion holds

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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 OpenQuestion graph.