Identification and Validation of Novel Biomarkers for Unstable Angina Using Olink Proteomics

Unstable angina (UA) represents a prevalent cardiovascular condition characterized by significant morbidity and mortality, necessitating the development of effective early diagnostic biomarkers. This study sought to identify plasma protein biomarkers associated with UA utilizing Olink proteomics. A cohort of 120 participants, comprising 60 individuals diagnosed with UA and 60 healthy controls, was recruited. A total of 92 inflammation-related plasma proteins were quantified through a proximity extension assay. In the discovery cohort, differential expression analysis revealed significant alterations in 49 proteins, which were predominantly enriched in cytokine-mediated signaling and MAPK pathways, as demonstrated by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Least absolute shrinkage and selection operator regression and random forest methodologies prioritized three biomarkers─SPON2, PTX3, and GBGT1─that exhibited elevated levels in UA patients compared to controls. Receiver operating characteristic analysis demonstrated area under the curve values of 0.859, 0.937, and 0.900 for SPON2, PTX3, and GBGT1, respectively. A combined diagnostic model incorporating these three proteins achieved an AUC of 0.979 and demonstrated robust performance in an independent validation cohort. These results suggest that SPON2, PTX3, GBGT1, and their composite model hold promise as diagnostic biomarkers for UA.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-12-25
DOI
https://doi.org/10.1021/acs.jproteome.5c00831
Primary Topic
Biomarkers in Disease Mechanisms
Type
article
Field-Weighted Citation Impact
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article

Identification and Validation of Novel Biomarkers for Unstable Angina Using Olink Proteomics

Jungang Pang, Ting Cao, Shaohua Tan, Jun Liu et al.
Journal of Proteome Research
Biomarkers in Disease Mechanisms
article

Identification and Validation of Novel Biomarkers for Unstable Angina Using Olink Proteomics

Jungang Pang, Ting Cao, Shaohua Tan, Jun Liu, Wenli Li
article en

Abstract

Unstable angina (UA) represents a prevalent cardiovascular condition characterized by significant morbidity and mortality, necessitating the development of effective early diagnostic biomarkers. This study sought to identify plasma protein biomarkers associated with UA utilizing Olink proteomics. A cohort of 120 participants, comprising 60 individuals diagnosed with UA and 60 healthy controls, was recruited. A total of 92 inflammation-related plasma proteins were quantified through a proximity extension assay. In the discovery cohort, differential expression analysis revealed significant alterations in 49 proteins, which were predominantly enriched in cytokine-mediated signaling and MAPK pathways, as demonstrated by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses. Least absolute shrinkage and selection operator regression and random forest methodologies prioritized three biomarkers─SPON2, PTX3, and GBGT1─that exhibited elevated levels in UA patients compared to controls. Receiver operating characteristic analysis demonstrated area under the curve values of 0.859, 0.937, and 0.900 for SPON2, PTX3, and GBGT1, respectively. A combined diagnostic model incorporating these three proteins achieved an AUC of 0.979 and demonstrated robust performance in an independent validation cohort. These results suggest that SPON2, PTX3, GBGT1, and their composite model hold promise as diagnostic biomarkers for UA.

Journal of Proteome ResearchVol. 25(2)
Guangzhou University of Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 36%
Biomarkers in Disease Mechanisms
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