Evidence map›Paper›PMID 40705358›Full record

ArticleShock (Augusta, Ga.)2026

Novel Susceptibility Genes for Sepsis Revealed by a Cross-Tissue Transcriptome-Wide Association Study.

Linfeng Tao, Ning Zhu, Yue Zhu, Chao Li, Yiyuan Pan, Yan Chen, Jun Liu

Abstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2026. 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

7 authors.

Linfeng TaoGusu School of Nanjing Medical University, Department of Critical Care Medicine and Emergency, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Clinical Medical Center of Critical Care Medicine, Suzhou, China.
Ning ZhuGusu School of Nanjing Medical University, Department of Critical Care Medicine and Emergency, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Clinical Medical Center of Critical Care Medicine, Suzhou, China.
Yue ZhuDepartment of Breast and Thyroid Surgery, the Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou, China.
Chao LiGusu School of Nanjing Medical University, Department of Critical Care Medicine and Emergency, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Clinical Medical Center of Critical Care Medicine, Suzhou, China.
Yiyuan PanGusu School of Nanjing Medical University, Department of Critical Care Medicine and Emergency, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Clinical Medical Center of Critical Care Medicine, Suzhou, China.
Yan ChenGusu School of Nanjing Medical University, Department of Critical Care Medicine and Emergency, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Clinical Medical Center of Critical Care Medicine, Suzhou, China.
Jun LiuGusu School of Nanjing Medical University, Department of Critical Care Medicine and Emergency, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou Clinical Medical Center of Critical Care Medicine, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis, a life-threatening syndrome triggered by a dysregulated host response to infection, continues to impose a substantial global health burden. Advances in genomics and transcriptomics now enable systematic exploration of sepsis pathogenesis at the genetic level. The integration of genome-wide association studies and transcriptome-wide association studies (TWAS) offers a powerful framework to identify causal genetic variants and delineate molecular mechanisms underlying sepsis susceptibility and clinical outcomes.

methodsA cross-tissue TWAS was implemented using UTMOST to integrate sepsis genome-wide association studies summary statistics with transcriptomic data from the Genotype-Tissue Expression version 8 (GTEx v8) project. Candidate genes were validated through complementary approaches: FUSION, FOCUS, and MAGMA. Tissue-specific and pathway enrichment analyses were applied to prioritize sepsis-associated genes and characterize their functional roles in disease-relevant biological processes. Bayesian colocalization and two-sample Mendelian randomization (MR) analyses were employed to infer putative causal relationships between prioritized genes and sepsis risk.

resultsFour genes-ZCCHC4, PDGFB, C18orf54, and ATG4B-demonstrated significant associations with sepsis susceptibility in cross-tissue analyses. Two-sample MR provided evidence for causal effects of genetically regulated expression of these genes on sepsis risk. Bayesian colocalization identified shared causal variants between sepsis-associated loci and expression quantitative trait loci (eQTLs), implicating dysregulation of inflammatory and autophagy pathways in sepsis pathogenesis.

conclusionsOur results highlight the efficacy of cross-tissue TWAS in mapping sepsis-associated loci and elucidating the genetic architecture underlying sepsis susceptibility. These prioritized loci constitute compelling targets for functional validation and represent actionable candidates for therapeutic intervention in sepsis.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudySepsisTranscriptomeHumanseQTLsMAGMASepsisTWASUTMOST

Identifiers

PMID40705358
PMCPMC13023095

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.