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September 23, 2025European Atherosclerosis Journal

Proteomic analysis for prediction of type 2 diabetes identifies cardiovascular disease-related proteins

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Authors

FKFikria KarinanurBWBrooke N. WolfordIFIngrid Sørdal Følling

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Overview

Cohort study reveals significant associations between specific proteins and type 2 diabetes, suggesting potential biomarkers for cardiovascular disease risk.

Key Points

  • 584 proteins were significantly associated with type 2 diabetes, highlighting their potential as biomarkers.
  • Key findings include that CILP2 and MXRA8 are linked to a decreased risk for diabetes, while PLXB2 and NFASC are linked to an increased risk.
  • The study utilized binary logistic regression to assess protein concentration associations, adjusted for key variables.
  • These findings underscore the importance of lipid metabolism proteins as targets for early intervention in cardiovascular disease risk.

Cite This Study

Karinanur et al. (2025) studied this question.

synapsesocial.com/papers/68d43edd713b0b5dfea7e829https://doi.org/10.56095/eaj.v4i2.111
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Blood plasma proteome-wide association study implicates new proteins in type 2 diabetes mellitus pathogenesis.2025 · 2 citations
  2. 2Exploring Biomarkers in Type 2 Diabetes Mellitus versus Normoglycemia Identified through High-Throughput Proteomics: A Systematic Review and Meta-Analysis2025
  3. 3Integrative proteomic analysis provides novel therapeutic insights for etiological subtypes of diabetes2025 · 3 citations
  4. 4Type 2 Diabetes Mellitus, Cognitive Performance, and Incident Dementia; Identifying Mediating Pathways and Biomarkers From the Plasma Proteome2025
  5. 5Proteomics‐enabled learning machine algorithms enhance the prediction of cardiovascular diseases in patients with type 2 diabetes mellitus2025 · 2 citations