Evidence map›Paper›PMID 41180608›Full record

ArticleInfection and drug resistance2025

PTGDS: As a Specific Biomarker for Septic Cardiomyopathy.

Linghan Leng, Chenglin Wang, Yaxing Deng, Yingchun Hu, Yan Xu

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Linghan LengDepartment of Intensive Care Unit, Chengdu Fifth People's Hospital (The Second Clinical Medical College, Affiliated Fifth People's Hospital of Chengdu University of Traditional Chinese Medicine), Chengdu, Sichuan, People's Republic of China.
Chenglin WangDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Yaxing DengDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.
Yingchun HuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.ORCID 0000-0002-5465-4638
Yan XuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Screening specific biomarkers for Septic Cardiomyopathy (SCM) to provide research targets for early identification and prognosis assessment. Methods: Peripheral blood samples from 20 sepsis patients and 10 healthy volunteers were collected for RNA sequencing. Subsequently, an intersection was taken between the differentially expressed genes in sepsis and the heart-specific expressed genes. This intersecting gene set was subjected to PPI analysis, GO enrichment, and KEGG pathway analysis. Survival analysis was employed to screen for potential hub gene and assess the relationship between the gene and prognosis. ROC curve was used to determine the diagnostic value of the hub target. Single-cell RNA sequencing was utilized to identify the cellular localization of the core gene, aiding in the selection of reliable cell lines for experimental validation. Results: The sepsis differential gene intersected with 1000 heart-specific genes for 40 targets. Survival analysis identified PTGDS as a potential core gene, with its expression levels positively correlating with the prognosis of sepsis patients. Notably, PTGDS emerged as a promising candidate, achieving an AUC of 0.898 in ROC curve analysis for diagnosing sepsis. It is important to note that these findings are based on an initial, proof-of-principle cohort with a limited sample size. Single-cell RNA sequencing demonstrated that PTGDS is primarily expressed in NK cells and T cells. A violin plot showed that the expression of PTGDS was lower in the sepsis group compared to the normal group. Conclusion: Our study identifies PTGDS as a novel diagnostic biomarker for sepsis with potential involvement in SCM. These results highlight the potential of PTGDS as a target for future diagnostic development and mechanistic research, paving the way for improved clinical stratification of septic patients at risk of cardiac complications.

Indexed as

diagnosisprognosisPTGDSRNA sequencingseptic cardiomyopathy

Identifiers

PMID41180608
PMCPMC12577610

What Socratic holds

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Registered trials

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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.