Evidence map›Paper›PMID 42801117›Full record

ArticleJournal of inflammation research2026

Integrated Multi-Omics Analyses Identify TYMP as a Candidate Protective Immunoregulatory Marker in CD4⁺ T Cells During Sepsis.

Yanan Wang, Jianglin Zhao, Yushi Zhang, Ji Shen, Yuan Shi, Qingxiang Liu, Xuefeng Zhang

Abstract read
In one paragraph

Article in Journal of inflammation research, 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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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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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

7 authors.

Yanan Wang *Department of Critical Care Medicine, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, 214400, People's Republic of China.ORCID 0000-0001-7481-4531
Jianglin Zhao *Department of Critical Care Medicine, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, 214400, People's Republic of China.ORCID 0009-0004-2856-2459
Yushi Zhang *Department of Critical Care Medicine, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, 214400, People's Republic of China.
Ji ShenDepartment of Critical Care Medicine, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, 214400, People's Republic of China.ORCID 0009-0001-3994-3482
Yuan ShiDepartment of Critical Care Medicine, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, 214400, People's Republic of China.
Qingxiang LiuDepartment of Emergency Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, 210029, People's Republic of China.ORCID 0000-0002-5098-9254
Xuefeng ZhangDepartment of Critical Care Medicine, The Affiliated Jiangyin Hospital of Nantong University, Wuxi, 214400, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cellular heterogeneity in sepsis complicates the identification of cell-specific therapeutic targets. We aimed to identify genetically supported candidate immunogenetic regulators associated with sepsis through integrative multi-omics analyses. Methods: We conducted an integrative observational multi-omics study combining single-cell expression quantitative trait locus-based Mendelian randomization (sc-eQTL MR), bulk transcriptomic survival analysis, genetic colocalization, single-cell RNA sequencing (scRNA-seq), and a prospective observational clinical cohort. Publicly available summary-level or de-identified datasets were analyzed, including FinnGen sepsis GWAS data (GWAS ID: finn-b-O15_PUERP_SEPSIS), OneK1K sc-eQTL data, bulk transcriptomic data (GSE65682), and scRNA-seq datasets (GSE167363 and GSE151263). For prospective validation, 30 consecutive adult patients admitted to the intensive care unit who fulfilled the Sepsis-3 criteria were enrolled at the Affiliated Jiangyin Hospital of Nantong University between January 2026 and April 2026. Peripheral blood was collected within 24 hours after fulfillment of the Sepsis-3 criteria. TYMP concentrations in plasma were quantified using ELISA. Results: TYMP showed a nominal inverse association with sepsis susceptibility in CD4 effector memory/TEMRA cells (OR = 0.644, P = 0.008) in the exploratory MR screening, while genetic colocalization suggested a shared genetic signal with sepsis susceptibility (PPH4 = 0.78). In an independent cohort of 30 patients with sepsis, plasma TYMP levels were significantly elevated in survivors than in non-survivors (124.9 ± 20.7 vs 109.6 ± 15.1 pg/mL, P = 0.033). TYMP exhibited prognostic value for 28-day mortality (AUC = 0.701, P = 0.042), and elevated TYMP expression was associated with improved survival (HR = 0.259, P = 0.029). Single-cell and pseudotime analyses associated TYMP-expressing CD4⁺T cells with immunoregulatory transcriptional programs involving hypoxia and TGFB1 signaling. Pseudotime analysis demonstrated dynamic transcriptional reprogramming toward an immunoregulatory state. Conclusion: Integrated genetic, transcriptomic, single-cell, and clinical analyses nominate TYMP as a genetically supported candidate protective immunoregulatory marker associated with CD4⁺T cells in sepsis.

Indexed as

CD4+T cellsinflammation regulationmendelian randomizationsepsissingle-cell eQTLsingle-cell transcriptomicsTYMP

Identifiers

PMID42801117
PMCPMC13615804

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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 OpenQuestion graph.