Evidence map›Paper›PMID 40258847›Full record

ArticleScientific reports2025

Identifying biomarkers distinguishing sepsis after trauma from trauma-induced SIRS based on metabolomics data: a retrospective study.

Yi Gou, Jing-Jing Liu, Jun-Fei Zhang, Wan-Peng Yang, Jian-Zhong Yang, Ke Feng

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Yi Gou *Department of Emergency Medical, General Hospital of Ningxia Medical University, Yinchuan, 750003, Ningxia, China.
Jing-Jing Liu *Department of Emergency Medical, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, China.
Jun-Fei ZhangDepartment of Emergency Medical, General Hospital of Ningxia Medical University, Yinchuan, 750003, Ningxia, China.
Wan-Peng YangDepartment of Emergency Medical, General Hospital of Ningxia Medical University, Yinchuan, 750003, Ningxia, China.
Jian-Zhong YangDepartment of Emergency Medical, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830011, China. yjz6542@126.com.
Ke FengDepartment of Emergency Medical, General Hospital of Ningxia Medical University, Yinchuan, 750003, Ningxia, China. fengkedoct@163.com.

Funding

the Key Project of the Natural Science Foundation of Autonomous Region in 2023 2023AAC02068the Key Research and Development Program of Ningxia 2022BEG02049
6 · The paper itself

Abstract

Sepsis after trauma and trauma-induced SIRS have similar symptoms, making their differentiation challenging. Therefore, biomarkers are needed to differentiate between sepsis after trauma and trauma-induced SIRS. We hypothesized that sepsis following trauma induces distinct alterations in blood metabolism compared to trauma-induced SIRS and sought to identify metabolite biomarkers in blood that could differentiate between the two. In this retrospective study, the existing blood metabolomics data from 60 patients without trauma-induced SIRS, 40 patients with trauma-induced SIRS, and 50 non-trauma control cases were analyzed. Among 40 traumatic patients with SIRS, 16 developed sepsis (SDS group), 24 did not develop sepsis (SDDS group) within the subsequent two-week period after trauma. A pairwise comparison between SDS group and SDDS group was used to screen the differential metabolites as biomarkers distinguishing sepsis after trauma from trauma-induced SIRS. Using partial least‑squares discriminant analysis, we demonstrated that SDS group was metabolically distinct from the SDDS group. A total of 37 differential metabolites were found between SDS group and SDDS group. We selected 5 most significantly different metabolites between SDS and SDDS groups as biomarkers to discriminate sepsis after trauma from trauma-induced SIRS, which were 7-alpha-carboxy-17-alpha-carboxyethylandrostan lactone phenyl ester, docosatrienoic acid, SM 8:1;2O/26:1, SM 34:2;2O, and N1-[1-(3-isopropenylphenyl)-1-methylethyl]-3-oxobutanamide. Our study has identified the potential of these biomarkers for differentiating sepsis after trauma from trauma-induced SIRS. This not only provides a new approach for the early diagnosis of sepsis after trauma but also lays a solid foundation for further research based on targeted metabolomics, which may lead to the development of more effective treatment strategies in the future.

Indexed as

BiomarkersMetabolomicsSepsisSystemic Inflammatory Response SyndromeWounds and InjuriesAdultAgedDiagnosis, DifferentialFemaleHumansMaleMiddle AgedRetrospective StudiesBiomarkersBiomarkersMetabolomicsSepsisSIRSTrauma

Identifiers

PMID40258847
PMCPMC12012006

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.