Evidence map›Paper›PMID 41081959›Full record

ArticleFunctional & integrative genomics2025

RAPGEF6 is a key biomarker with temporal characteristics in sepsis and exacerbates inflammation and oxidative stress by NF-κB-mediated necroptosis.

Yang Fang, Hui Chen, Xinyi Yang, Yuanhua Lu, Ling Wu, Zhijian Sun, Xiufang Ouyang, Wei Wan, Zhuohui Liu, Ning Zhao and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 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. Review
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

12 authors.

Yang Fang *Department of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Hui Chen *Department of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Xinyi YangDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Yuanhua LuDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Ling WuDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Zhijian SunDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Xiufang OuyangDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Wei WanDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Zhuohui LiuDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Ning ZhaoDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China.
Wenqiang TaoDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China. ndyfy09700@ncu.edu.cn.
Fen LiuDepartment of Critical Care Medicine, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, P.R. China. ndyfy01300@ncu.edu.cn.

Funding

Jiangxi Provincial Graduate Innovation Special Fund Project YC2024-B075the Jiangxi Province Double Thousand Talent Plan ixsq2023201040the National Natural Science Foundation of China 81460292the Natural Science Foundation of Jiangxi Province 20232ACB206046
6 · The paper itself

Abstract

Biomarkers identified through integrated bioinformatics approaches often exhibit limited temporal stability during sepsis progression. To address this limitation, temporal changes in the serum transcriptome of sepsis patients were analyzed at multiple time points to investigate underlying pathological mechanisms. The datasets GSE54514 and GSE212092 from the Gene Expression Omnibus (GEO) database were used for gene identification and validation. The key marker RAPGEF6 with temporal characteristics was identified by integrating time-series clustering analysis, differential expression analysis, weighted gene co-expression network analysis (WGCNA), and single-cell data analysis. Stable RAPGEF6-knockdown RAW264.7 macrophages were generated using lentiviral shRNA delivery to investigate the role of RAPGEF6 in sepsis. A total of 2,701 genes showed time-associated expression patterns during sepsis progression. Integrative analysis combining differential expression and WGCNA-derived modules identified three hub genes: RAPGEF6, CHD9, and POGULT1. RAPGEF6 showed the highest area under the receiver operating characteristic curve (AUROC) of 0.9206 (95% CI: 0.8383-1). Immune infiltration analysis indicated that RAPGEF6 had the strongest correlation with M1 macrophages (correlation coefficient = 0.42). The analysis of single-cell data targeting key genes and external experiments confirmed this finding. RAPGEF6 expression in macrophages increased during the early phase of lipopolysaccharide (LPS) stimulation and then decreased over time. Stable knockout of RAPGEF6 in macrophages using lentiviral vectors attenuated LPS-induced inflammatory responses and oxidative stress by inhibiting NF-κB-mediated necroptosis. Time-series transcriptomic analysis revealed highly dynamic gene expression trajectories in sepsis patients. RAPGEF6, identified as a key biomarker with temporal characteristics, may regulate inflammation and oxidative stress via NF-κB-mediated necroptosis.

Indexed as

Guanine Nucleotide Exchange FactorsInflammationNecroptosisNF-kappa BOxidative StressSepsisAnimalsBiomarkersHumansMacrophagesMiceRAW 264.7 CellsBiomarkersGuanine Nucleotide Exchange FactorsNF-kappa BNecroptosisNF-κB signaling pathwayRAPGEF6SepsisSingle-cell RNA-seqTime-series transcriptomic analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.