Evidence map›Paper›PMID 40115322›Full record

ArticleJournal of inflammation research2025

Novel Identification of CD74 as a Biomarker for Diagnosing and Prognosing Sepsis Patients.

Kaibo Hu, Ao Shi, Yuan Shu, Shivon Sudesh, Jitao Ling, Yixuan Chen, Fuzhou Hua, Shuchun Yu, Jing Zhang, Peng Yu

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Article in Journal of inflammation research, 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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1 · What the graph read from it

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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

10 authors.

Kaibo Hu *Department of Endocrinology and Metabolism, second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Ao Shi *Faculty of Medicine, St George's University of London, London, UK.ORCID 0000-0002-2970-4832
Yuan ShuDepartment of Endocrinology and Metabolism, second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Shivon SudeshFaculty of Medicine, St George's University of London, London, UK.
Jitao LingDepartment of Endocrinology and Metabolism, second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Yixuan ChenThe second Clinical Medical College, Nanchang University, Nanchang, People's Republic of China.
Fuzhou HuaDepartment of Anesthesiology, second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Shuchun YuDepartment of Anesthesiology, second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Jing ZhangDepartment of Anesthesiology, second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Peng YuDepartment of Endocrinology and Metabolism, second Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Sepsis, a life-threatening inflammatory condition due to an imbalanced response to infections, has been a major concern. Necroptosis, a newly discovered programmed cell death form, plays a crucial role in various inflammatory diseases. Our study aims to identify necroptosis - related genes (NRGs) and explore their potential for sepsis diagnosis. Patients and methods: We used weighted gene co-expression network analysis to identify gene modules associated with sepsis. Cox regression and Kaplan-Meier methods were employed to assess the diagnostic and prognostic value of these genes. Single-cell and immune infiltration analyses were carried out to explore the immune environment in sepsis. Plasma CD74 protein levels were quantified in our samples, and relevant clinical data from electronic patient records were analyzed for correlation. Results: CD74 was identified through the intersection of the hub genes of sepsis and NRGs related modules. Septic patients had lower CD74 expression compared to healthy controls. The CD74-based diagnostic model showed better performance in the training dataset (AUC, 0.79 [95% CI, 0.75-0.84]), was cross-validated in external datasets, and demonstrated better performances than other published diagnostic models. Pathway analysis and single-cell profiling supported further exploration of CD74-related inflammation and immune response in sepsis. Conclusion: This study presents the first quantitative assessment of human plasma CD74 in sepsis patients. CD74 levels were significantly lower in the sepsis cohort. CD74 warrants further exploration as a potential prognostic and therapeutic target for sepsis.

Indexed as

CD74diagnosisimmunityprognosissepsis

Identifiers

PMID40115322
PMCPMC11922779

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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.