Evidence map›Paper›PMID 36299685›Full record

ArticleGenetics research2022

Bioinformatics Analysis Identifies TNFRSF1A as a Biomarker of Liver Injury in Sepsis TNFRSF1A is a Biomarker for Septic Liver Injury.

Shangxun Zhou, Wei Zhao, Junjie Li, Yang Huang, Jing Yang, Qianmei Wang, Yunyun Xu, Chujun Duan, Yutong Wang, Wen Yin

Open access · goldAbstract read
In one paragraph

Article in Genetics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

10 authors at 1 institution in 1 country.

Shangxun ZhouDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.
Wei ZhaoDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.
Junjie LiDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.
Yang HuangDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.
Jing YangDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.
Qianmei WangDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.
Yunyun XuDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.
Chujun DuanDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.ORCID 0000-0002-8052-073X
Yutong WangDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.ORCID 0000-0002-3026-300X
Wen YinDepartment of Emergency, Xijing Hospital, Air Force Medical University, Xi'an 710032, Shaanxi, China.ORCID 0000-0002-8108-1951
Xijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a severe disease with high mortality, and liver injury is an independent risk factor for sepsis morbidity and mortality. We analyzed co-differentially expressed genes (co-DEGs) to explore potential biomarkers and therapeutic targets for sepsis-related liver injury. Three gene expression datasets (GSE60088, GSE23767, and GSE71530) were downloaded from the Gene Expression Omnibus (GEO). DEGs were screened between sepsis and control samples using GEO2R. The association of these DEGs with infection and liver disease was analyzed by using the CTD database. GO functional analysis, KEGG pathway enrichment analysis, and protein-protein interaction (PPI) network analysis were performed to elucidate the potential molecular mechanism of DEGs. DEGs of different tissues in GSE60088 were analyzed again to obtain specific markers of septic liver injury. Mouse model of sepsis was also established by cecal ligation and puncture (CLP), and the expression of specific markers in liver, lung, and kidney tissues was analyzed using Western blot. Here, we identified 21 DEGs in three datasets with 8 hub genes, all of which showed higher inference scores in liver diseases than bacterial infections. Among them, only TNFRSF1A had a liver-specific differential expression. TNFRSF1A was also confirmed to be specifically reduced in septic liver tissues in mice. Therefore, TNFRSF1A may serve as a potential biomarker for septic liver injury.

Indexed as

Computational BiologySepsisAnimalsBiomarkersGene Expression ProfilingGene Regulatory NetworksLiverMiceReceptors, Tumor Necrosis Factor, Type IBiomarkersReceptors, Tumor Necrosis Factor, Type ITnfrsf1a protein, mouse

Identifiers

PMID36299685
PMCPMC9587912
OpenAlexW4306294610

What OpenQuestion holds

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LicenceCC BY
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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.