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Resistin as a potential diagnostic biomarker for sepsis: insights from DIA and ELISA analyses.
Lan, Youyu; Guo, Wentao; Chen, Wenhao; Chen, Muhu; Li, Shaolan.
Afiliación
  • Lan Y; Department of Rheumatology and Immunology, the Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Jiangyang District, Luzhou, 646000, Sichuan, China.
  • Guo W; Department of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China.
  • Chen W; Department of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China.
  • Chen M; Department of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China. cmh6186@swmu.edu.cn.
  • Li S; Department of Emergency Medicine, The Affiliated Hospital, Southwest Medical University, Jiangyang District, Luzhou City, 646000, Sichuan Province, China. lishaolan883@swmu.edu.cn.
Clin Proteomics ; 21(1): 46, 2024 Jul 01.
Article en En | MEDLINE | ID: mdl-38951753
ABSTRACT

PURPOSE:

The primary objective of this investigation is to systematically screen and identify differentially expressed proteins (DEPs) within the plasma of individuals afflicted with sepsis. This endeavor employs both Data-Independent Acquisition (DIA) and enzyme-linked immunosorbent assay (ELISA) methodologies. The overarching goal is to furnish accessible and precise serum biomarkers conducive to the diagnostic discernment of sepsis.

METHOD:

The study encompasses 53 sepsis patients admitted to the Affiliated Hospital of Southwest Medical University between January 2019 and December 2020, alongside a control cohort consisting of 16 individuals devoid of sepsis pathology. Subsequently, a subset comprising 10 randomly selected subjects from the control group and 22 from the sepsis group undergoes quantitative proteomic analysis via DIA. The acquired data undergoes Gene Ontology (GO) and Kyoto Encyclopedia of Genes (KEGG) analyses, facilitating the construction of a Protein-Protein Interaction (PPI) network to discern potential markers. Validation of core proteins is then accomplished through ELISA. Comparative analysis between the normal and sepsis groups ensues, characterized by Receiver Operating Characteristic (ROC) curve construction to evaluate diagnostic efficacy.

RESULT:

A total of 187 DEPs were identified through bioinformatic methodologies. Examination reveals their predominant involvement in biological processes such as wound healing, coagulation, and blood coagulation. Functional pathway analysis further elucidates their engagement in the complement pathway and malaria. Resistin emerges as a candidate plasma biomarker, subsequently validated through ELISA. Notably, the protein exhibits significantly elevated levels in the serum of sepsis patients compared to the normal control group. ROC curve analysis underscores the robust diagnostic capacity of these biomarkers for sepsis.

CONCLUSION:

Data-Independent Acquisition (DIA) and Enzyme-Linked Immunosorbent Assay (ELISA) show increased Resistin levels in sepsis patients, suggesting diagnostic potential, warranting further research.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Clin Proteomics Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Clin Proteomics Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido