Longitudinal Repeated Protein Measurements in a Multiethnic Cohort Identify Novel Diabetes Biomarkers That Reveal Unique Disease Pathways.

Authors

Zsu-Zsu Chen, Michael Y Mi, Jacob Barber, Gaurav Tiwari, Charleen D Adams, Shuliang Deng, Christopher Y Shin, Laurie Farrell, Prashant Rao, Daniel E Cruz, James G Wilson, Magdalena Sevilla-Gonzalez, Yii-Der Ida Chen, Xiuqing Guo, Mark O Goodarzi, Kent D Taylor, Usman A Tahir, Stephen S Rich, Alexis C Wood, Robert E Gerszten, Jerome I Rotter

Published in

Diabetes. Sep 08, 2026. Epub Sep 08, 2026.

Abstract

There is up to a fourfold increase in diabetes biomarkers identified with longitudinal repeated versus single time point proteomic measurements. The increase in biomarkers identified with longitudinal repeated measurements is supported by a similar proportion being nominated as causal for type 2 diabetes with Mendelian randomization. Proteins unique to the longitudinal repeated analyses highlighted biological pathways (e.g., posttranslational protein modification and cellular structure and cycle regulation) that were distinct from pathways enriched among the shared proteins (e.g., small-molecule metabolic and catabolic processes). Longitudinal protein measurements identify additional novel disease biomarkers and disparate biological pathways compared with single measurement analyses.

PMID:
42709505
Bibliographic data and abstract were imported from PubMed on 09 Sep 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.