Mexican Americans suffer from a disproportionate burden of modifiable risk factors, which may contribute to the health disparities in MCI and AD.
The purpose of this study was to elucidate the impact of comorbid depression and diabetes on proteomic outcomes among community-dwelling Mexican American adults and elders.
Data from participants enrolled in the Health and Aging Brain among Latino Elders (HABLE) study was utilized. Participants were 50 or older and identified as Mexican American (N = 559). Cognition was assessed via neuropsychological test battery and diagnoses of MCI and AD adjudicated by consensus review. The sample was stratified into four groups: Depression only, Neither depression nor diabetes, diabetes only, and comorbid depression and diabetes. Proteomic profiles were created via Support Vector Machine (SVM) analyses.
Medical diagnoses impacted the relative importance of the individual proteins.
Medical comorbidities may impact the proteomics of MCI and AD, which lend support for a precision medicine approach to treating this disease.