Yang, Lu, Wang, Lu, Ding, Wang, Zhou, Zhou, & Hu (2026). Integrative proteogenomic and observational analysis identifies potential biomarkers for latent autoimmune diabetes in adults.. Cardiovascular diabetology.
Yang, Lu, Wang, Lu, Ding, Wang, et al. Integrative proteogenomic and observational analysis identifies potential biomarkers for latent autoimmune diabetes in adults.. Cardiovascular diabetology. 2026; PMID: 42106685
Yang, Lu, Wang, et al. Integrative proteogenomic and observational analysis identifies potential biomarkers for latent autoimmune diabetes in adults.[J]. Cardiovascular diabetology. 2026.
@article{yang2026,
author = {Yang and Lu and Wang and Lu and Ding and Wang and Zhou and Zhou and Hu},
title = {Integrative proteogenomic and observational analysis identifies potential biomarkers for latent autoimmune diabetes in adults.},
journal = {Cardiovascular diabetology},
year = {2026},
note = {PMID: 42106685},
}
TY - JOUR AU - Yang AU - Lu AU - Wang AU - Lu AU - Ding AU - Wang AU - Zhou AU - Zhou AU - Hu TI - Integrative proteogenomic and observational analysis identifies potential biomarkers for latent autoimmune diabetes in adults. T2 - Cardiovascular diabetology PY - 2026 AN - PMID:42106685 ER -
Latent autoimmune diabetes in adults (LADA) shares core genetic and immunological features with type 1 diabetes (T1D) but is frequently misdiagnosed as type 2 diabetes (T2D). With few biomarkers for its timely diagnosis and management, this study integrated proteome-wide Mendelian randomisation (MR) and observational clinical analysis to identify potential LADA biomarkers.