Leigh Ann Johnson1, Fan Zhang2, Stephanie Large1, James Hall1, Sidney E O'Bryant1. 1. Department of Pharmacology and Neuroscience, Institute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA. 2. Department of Biology, University of Vermont, Burlington, VT, USA.
Abstract
BACKGROUND: Mexican Americans suffer from a disproportionate burden of modifiable risk factors, which may contribute to the health disparities in mild cognitive impairment (MCI) and Alzheimer's disease (AD). OBJECTIVE: 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. METHODS: Data from participants enrolled in the Health and Aging Brain among Latino Elders study was utilized. Participants were 50 or older and identified as Mexican American (N = 514). 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 analyses. RESULTS: In Mexican Americans, the proteomic profile of MCI may change based upon the presence of diabetes. The profile has a strong inflammatory component and diabetes increases metabolic markers in the profile. CONCLUSION: Medical comorbidities may impact the proteomics of MCI and AD, which lend support for a precision medicine approach to treating this disease.
BACKGROUND: Mexican Americans suffer from a disproportionate burden of modifiable risk factors, which may contribute to the health disparities in mild cognitive impairment (MCI) and Alzheimer's disease (AD). OBJECTIVE: 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. METHODS: Data from participants enrolled in the Health and Aging Brain among Latino Elders study was utilized. Participants were 50 or older and identified as Mexican American (N = 514). 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 analyses. RESULTS: In Mexican Americans, the proteomic profile of MCI may change based upon the presence of diabetes. The profile has a strong inflammatory component and diabetes increases metabolic markers in the profile. CONCLUSION: Medical comorbidities may impact the proteomics of MCI and AD, which lend support for a precision medicine approach to treating this disease.
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