Evidence map›Paper›PMID 42147809›Full record

ArticleHuman mutation2026

Integrative Systems Biology and Experimental Validation Unveil GALNT14 as a Novel Diagnostic Biomarker and Therapeutic Target for Sepsis.

Xiuqi Zhu, Yi Zhai, Jiali Yao, Yue Chen, Wenhan Ge

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Human mutation, 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

5 authors.

Xiuqi ZhuDepartment of Critical Care Medicine, Jinhua Hospital Affiliated to Zhejiang University, Jinhua, China.
Yi ZhaiNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China, nju.edu.cn.
Jiali YaoDepartment of Critical Care Medicine, Jinhua Hospital Affiliated to Zhejiang University, Jinhua, China.ORCID https://orcid.org/0000-0001-6312-6207
Yue ChenNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China, nju.edu.cn.ORCID https://orcid.org/0009-0004-6299-700X
Wenhan GeDepartment of Emergency, The Affiliated Huai'an Hospital of Xuzhou Medical University and The Second People's Hospital of Huai'an, Huai'an, China, xzmc.edu.cn.ORCID https://orcid.org/0009-0003-6792-0979

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis lacks reliable biomarkers for early diagnosis and treatment. This study integrates systems biology approaches, weighted gene coexpression network analysis (WGCNA), and experimental validation to identify novel diagnostic and therapeutic targets. Methods: Four sepsis-related GEO datasets were analyzed to identify differentially expressed genes (DEGs) and coexpression modules. Machine learning algorithms screened candidate biomarkers from the intersection of DEGs and module hub genes, validated via ROC analysis and immune infiltration assessment. The biological function of the top candidate was verified in vitro using LPS-stimulated THP-1 cells. Results: Conclusion: Through a synergistic framework of AI-driven bioinformatics and wet-lab verification, this study identifies

Indexed as

BiomarkersN-AcetylgalactosaminyltransferasesSepsisSystems BiologyApoptosisComputational BiologyCytokinesGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansPolypeptide N-acetylgalactosaminyltransferaseTHP-1 CellsBiomarkersCytokinesN-AcetylgalactosaminyltransferasesPolypeptide N-acetylgalactosaminyltransferasebiomarkerGALNT14immune infiltrationinflammatory responsesepsissystems biologytherapeutic targetWGCNA

Identifiers

PMID42147809
PMCPMC13171704

What OpenQuestion holds

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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.