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Circulating Proteome and Progression of Type 2 Diabetes
Wanglong Gou1,2, Liang Yue2,3,4, Xin-Yi Tang5
1Key Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, China.
The Journal of Clinical Endocrinology and Metabolism
|February 20, 2022
Summary
Researchers identified seven proteomic biomarkers linked to type 2 diabetes (T2D) risk. A protein risk score (PRS) combining these biomarkers showed increased T2D likelihood, particularly when interacting with red meat consumption.
Area of Science:
- Biochemistry
- Genomics
- Epidemiology
Background:
- Circulating proteomes offer potential intervention targets for type 2 diabetes (T2D).
- Identifying proteomic biomarkers is crucial for understanding T2D development and risk stratification.
Purpose of the Study:
- To identify proteomic biomarkers associated with incident type 2 diabetes (T2D).
- To assess the joint effect of identified biomarkers with dietary or lifestyle factors on T2D risk.
Main Methods:
- Nested case-control studies (discovery and validation cohorts) were established for incident T2D.
- Untargeted mass spectrometry-based proteomics and interpretable machine learning were integrated to identify biomarkers.
- A protein risk score (PRS) was constructed and evaluated for its association with T2D, glycemic traits, and interactions with lifestyle factors.
Main Results:
- Seven proteins (SHBG, CAND1, APOF, SELL, MIA3, CFH, IGHV1-2) were identified as proteomic biomarkers for incident T2D.
- A higher PRS was positively associated with incident T2D and unfavored glycemic trait trajectories.
- A significant multiplicative interaction was observed between red meat intake and PRS on T2D risk.
Conclusions:
- Proteomic biomarkers for incident T2D were identified in Chinese populations.
- Higher red meat intake may synergistically interact with these proteomic biomarkers, increasing T2D risk.
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