Evidence map›Paper›PMID 41367711›Full record

ArticleExperimental and therapeutic medicine2026

Identification of early diagnostic biomarkers in venous thromboembolism: A bioinformatic analysis based on crosstalk between pyroptosis and venous thromboembolism.

Shengbin Han, Jingzhe Xu, Chenchen Yu, Hongxi Guan, Shun Ding

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2026. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Shengbin HanDepartment of Vascular Surgery, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan 650032, P.R. China.
Jingzhe XuDepartment of Vascular Surgery, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan 650032, P.R. China.
Chenchen YuDepartment of Vascular Surgery, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan 650032, P.R. China.
Hongxi GuanDepartment of Vascular Surgery, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan 650032, P.R. China.
Shun DingDepartment of Vascular Surgery, The First Affiliated Hospital, Kunming Medical University, Kunming, Yunnan 650032, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Venous thromboembolism (VTE) is a common vascular disease and a major cause of mortality. Development of early diagnostic biomarkers that accurately predict the occurrence of VTE is key for its initial management. The present study was designed to identify potential early diagnostic biomarkers based on the crosstalk between pyroptosis and VTE. The GSE19151 and GSE48000 datasets were utilized as the training and validation cohorts, respectively. Pyroptosis-related genes (PRGs) were sourced from the existing literature. Multiple bioinformatic analyses were conducted to pinpoint key PRGs in VTE. The possible functions of these genes were elucidated through gene set enrichment analysis (GSEA). Molecular regulatory networks were synthesized to probe into the underlying molecular mechanism of VTE. Moreover, a total of 5 pairs of frozen blood samples were analyzed quantifiably by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to evaluate the expression levels of these biomarkers. a total of Five critical biomarkers (RPL31, RPL34, RPL9, RPS27L and HINT1) were eventually screened, with significantly elevated expression levels observed in VTE samples in both the training and validation cohorts compared with control. The RT-qPCR results further confirmed that expression trends of these genes were consistent with those in the GSE19151 and GSE48000 datasets. GSEA indicated a correlation between the five biomarkers and ribosomal proteins as well as oxidative phosphorylation signaling pathways, suggesting their potential role in triggering VTE by regulating pyroptosis-inflammation-coagulation axis. A total of five critical pyroptosis-related biomarkers have been initially characterized, showing potential for early diagnosis of VTE. While these findings are promising, further investigation into the precise mechanisms and clinical thresholds is warranted.

Indexed as

bioinformaticsbiomarkersearly diagnosispyroptosisthrombotic inflammationvenous thromboembolism

Identifiers

PMID41367711
PMCPMC12683624

What Socratic holds

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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.