Language
English
Publication Date
12-1-2024
Journal
Clinical Journal of the American Society of Nephrology
DOI
10.2215/CJN.0000000000000559
PMID
39432369
PMCID
PMC11637700
PubMedCentral® Posted Date
10-21-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Background: The onset of diabetic kidney disease (DKD) in youth with type 2 diabetes (T2D) mellitus often occurs early, leading to complications in young adulthood. Risk biomarkers associated with the early onset of DKD are urgently needed in youth with T2D.
Methods: We conducted an in-depth analysis of 6596 proteins (SomaScan 7K) in 374 baseline plasma samples from the Treatment Options for Type 2 Diabetes in Adolescents and Youth study to identify multiprotein signatures associated with the onset of albuminuria (urine albumin-to-creatinine ratio ≥30 mg/g), a rapid decline in eGFR (annual eGFR decline >3 ml/min per 1.73 m2 and/or ≥3.3% at two consecutive visits), and hyperfiltration (≥135 ml/min per 1.73 m2 at two consecutive visits). Elastic net Cox regression with ten-fold cross-validation was applied to the top 100 proteins (ranked by P value) to identify multiprotein signatures of time to development of DKD outcomes.
Results: Participants in the Treatment Options for Type 2 Diabetes in Adolescents and Youth study (14±2 years, 63% female, 7±6 months diabetes duration) experienced high rates of early DKD: 43% developed albuminuria, 48% hyperfiltration, and 16% rapid eGFR decline. Increased levels of seven and three proteins were predictive of shorter time to develop albuminuria and rapid eGFR decline, respectively; 118 proteins predicted time to development of hyperfiltration. Elastic net Cox proportional hazards models identified multiprotein signatures of time to incident early DKD with concordance for models with clinical covariates and selected proteins between 0.81 and 0.96, whereas the concordance for models with clinical covariates only was between 0.56 and 0.63.
Conclusions: Our research sheds new light on proteomic changes early in the course of youth-onset T2D that associate with DKD. Proteomic analyses identified promising risk factors that predict DKD risk in youth with T2D and could deepen our understanding of DKD mechanisms and potential interventions.
Published Open-Access
yes
Recommended Citation
Pyle, Laura; Choi, Ye Ji; Narongkiatikhun, Phoom; et al., "Proteomic Analysis Uncovers Multiprotein Signatures Associated with Early Diabetic Kidney Disease in Youth with Type 2 Diabetes Mellitus" (2024). Faculty and Staff Publications. 5775.
https://digitalcommons.library.tmc.edu/baylor_docs/5775
Visual Abstract
Comments
Clinical Trial registry name and registration number:: NCT00081328.