Multiplex proteomic platforms provide excellent tools for investigating associations between
multiple proteins and disease (eg, diabetes) with possible prognostic, diagnostic, and …

Aims The epidemiological association between diabetes and cardiovascular disease is well
established, but the pathophysiological link is complex and multifactorial. We investigated …

With an estimated prevalence of 463 million affected, type 2 diabetes represents a major
challenge to health care systems worldwide. Analyzing the plasma proteomes of individuals …

Aims/hypothesis The pathogenesis of type 2 diabetes is not fully understood. We
investigated whether circulating levels of preselected proteins were associated with the …

Understanding early determinants of type 2 diabetes is essential for refining disease
prevention strategies. Proteomic technology may provide a useful approach to identify novel …

The objective of the present study was to identify proteins that contribute to pathophysiology
and allow prediction of incident type 2 diabetes or incident prediabetes. We quantified 14 …

Proteomics has been used to study type 2 diabetes, but the majority of available data are
from White participants. Here, we extend prior work by analyzing a large cohort of self …

OBJECTIVE The plasma proteome preceding diabetes can improve our understanding of
diabetes pathogenesis. RESEARCH DESIGN AND METHODS In 8,923 Atherosclerosis Risk …

Aims/hypothesis Multiplex proteomics could improve understanding and risk prediction of
major adverse cardiovascular events (MACE) in type 2 diabetes. This study assessed 80 …

The increasing prevalence of type 2 diabetes poses a major challenge to societies
worldwide. Blood-based factors like serum proteins are in contact with every organ in the …