Evidence map›Paper›PMID 41194984›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2025

Bioinformatics-based screening and validation of ferroptosis-related genes in sepsis and type 2 diabetes mellitus.

Heng Xiao, Zhonghua Ding, Cheng Liu, Xu He, Yanyan Tao

Abstract read
In one paragraph

Article in Experimental biology and medicine (Maywood, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Heng XiaoDepartment of Emergency Medicine, First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Zhonghua DingDepartment of Emergency Medicine, First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Cheng LiuDepartment of Critical Care Medicine, First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Xu HeDepartment of Pharmacy, Peking University People's Hospital, Beijing, China.
Yanyan TaoDepartment of Emergency Medicine, First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging clinical evidence underscores a bidirectional epidemiological linkage between sepsis and type 2 diabetes mellitus (T2DM). This study mechanistically investigates the underlying pathogenesis of this comorbidity, specifically focusing on the role of ferroptosis-related genes in its pathogenesis. A total of 1204 shared genes between sepsis and T2DM were screened using datasets from sepsis (GSE65682) and T2DM (GSE76894). GO and KEGG enrichment analyses, combined with WGCNA, were performed to identify key pathways and hub genes. Three signaling pathways-MAPK, adherens junction, and peroxisome-were significantly associated with the sepsis-T2DM interaction. Subsequent Pearson correlation analysis implicated ferroptosis as a critically involved process. Five core ferroptosis-related genes, including CDC25B, DPP7, FBXO31, PTCD3, and CNPY2, were were identified and experimentally validated using qRT-PCR. Furthermore, based on cMAP, we screened eight candidate drugs targeting these genes. Echinacea and Ibudilast were predicted to possess the greatest preclinical potential among them. This study provides a deeper insight into the shared pathogenesis of sepsis and T2DM, highlighting the pivotal role of ferroptosis in the development and progression of this comorbidity. Our findings offer preliminary insights into the sepsis-T2DM comorbidity, highlighting ferroptosis as a potential key pathological mechanism and identifying candidate targets for future therapeutic exploration.

Indexed as

Computational BiologyDiabetes Mellitus, Type 2FerroptosisSepsisGene Expression ProfilingHumansSignal Transductiondrug predictionferroptosispathwaysepsistype 2 diabetes mellitus

Identifiers

PMID41194984
PMCPMC12583109

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.