Evidence map›Paper›PMID 41566375›Full record

ArticleBMC research notes2026

Comprehensive insights into sepsis-induced cardiac dysfunction through proteomics and metabolomics.

Heyu Ji, Ting Xiao, Peijun Li, Junmei Xu, Yulong Cui

Abstract read
In one paragraph

Article in BMC research notes, 2026. 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.

Heyu JiDepartment of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Ting XiaoDepartment of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China.
Peijun LiDepartment of Anesthesiology, Shenzhen Baoan Women's and Children's Hospital, Jinan University, Shenzhen, 518102, Guangdong, China.
Junmei XuDepartment of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China. 13975148864@139.com.
Yulong CuiDepartment of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China. cuiyulong@csu.edu.cn.

Funding

National Key Research and Development Program of China 2018YFC2001902National Natural Science Foundation of China 81974018
6 · The paper itself

Abstract

objectiveSepsis remains a leading cause of mortality worldwide, with cardiac dysfunction contributing substantially to sepsis-related deaths. Due to the unique biology of myocardial tissue, the mechanisms underlying sepsis-induced cardiac injury are incompletely understood. This exploratory study aimed to apply integrated proteomic and metabolomic profiling to characterize molecular alterations in cardiac tissue from a cecal ligation and puncture mouse model of sepsis.

resultsComparative analysis identified 118 significantly altered proteins (75 upregulated and 43 downregulated) and 190 significantly altered metabolites (174 upregulated and 16 downregulated). Integrated pathway and network analyses implicated biological processes including platelet activation, mineral absorption, drug metabolism, terpenoid backbone biosynthesis, and butanoate metabolism. Notably, several previously under-recognized proteins (Prpsap1, Qsox1 and Prph), were identified as differentially expressed and ranked highly in our integrated network analyses, while prostaglandin H2, prostaglandin I2, thromboxane A2 and L-glutamine emerged as central metabolic nodes. These data extend the molecular landscape of septic cardiomyopathy and nominate prioritized candidates for orthogonal validation and mechanistic study.

Indexed as

CardiomyopathiesMetabolomeMetabolomicsMyocardiumProteomeProteomicsSepsisAnimalsDisease Models, AnimalMaleMiceMice, Inbred C57BLProteomeCardiac dysfunctionNovel biomarkerProteomics and metabolomicsSepsis

Identifiers

PMID41566375
PMCPMC12905927

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.