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June 7, 2026Diabetes

1391-P: Plasma Proteomic Risk Modeling of Chronic Kidney Disease Progression in Latino Adults with Diabetes

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Why the study?

Does a plasma proteomic risk score predict CKD progression in Latino adults with type 2 diabetes?

Population

70 Latino adults with type 2 diabetes (31 progressors, 39 non-progressors) from El Banco por Salud biobank

Design

Cohort

Authors

DCDAWN K. COLETTANFNASRIN FATIMAKMKAYLA MCCABE

Discussion

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Overview

A novel 16-protein plasma risk score can identify CKD progression in Latino adults with type 2 diabetes, addressing a gap in population-specific risk models.

Key Points

  • This study aims to create a plasma proteomic risk score specifically for tracking chronic kidney disease progression in Latino adults with type 2 diabetes.
  • Analyzed plasma proteomics of 70 Latino adults with type 2 diabetes (31 progressors, 39 non-progressors).
  • Developed a proteomic risk score using LASSO logistic regression on 5,415 proteins.
  • Defined CKD progression through linear regression of urine albumin-to-creatinine ratio over time.
  • Identified 16 proteins significantly associated with CKD progression, forming a plasma proteomic risk score.
  • Progressors had clinically relevant differences in serum creatinine and urine ACR levels compared to non-progressors (P<0.05).
  • Progressors also displayed trends for younger age and higher HbA1c, although not statistically significant.

Structured PICO

Does a plasma proteomic risk score predict CKD progression in Latino adults with type 2 diabetes?

P
Population
70 Latino adults with type 2 diabetes (31 progressors, 39 non-progressors) from El Banco por Salud biobank
I
Intervention
Plasma proteomic risk score (16 proteins identified via LASSO regression)
O
Outcome
Chronic kidney disease (CKD) progression defined using individual-level linear regression of urine albumin-to-creatinine ratio (ACR) over time (positive slopes indicated progression)surrogate

A novel 16-protein plasma risk score can identify CKD progression in Latino adults with type 2 diabetes, addressing a gap in population-specific risk models.

Cite This Study

COLETTA et al. (2026) studied this question.

synapsesocial.com/papers/6a250ae37def13d035e1aef3https://doi.org/10.2337/db26-1391-p
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Also Consider

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

  1. 12247-P: Uncertainty-Calibrated Prediction of Cardiovascular–Kidney–Liver–Metabolic Disease Using Clinical Biomarkers and Plasma Proteomics2026
  2. 2Integrative metabolomic and proteomic analysis of diabetic kidney disease progression with younger‐onset type 2 diabetes2025 · 3 citations
  3. 3Protein profiles and associated biological pathways among different aetiologies of chronic kidney disease: new insights from DAPA-CKD2025 · 2 citations
  4. 4Protein risk scores enable precise prediction of cardiovascular events in chronic kidney disease patients2025 · 1 citations
  5. 5Plasma Interleukin 22 Predicts Progression of Early Diabetic Kidney Disease2025 · 2 citations