Background: The diabetes burden in sub-Saharan Africa is rising, but there is little African data on associations between diet, insulin resistance, and beta-cell dysfunction.
Objective: We investigated the association between dietary patterns and insulin resistance and beta-cell dysfunction among adults in Mwanza, Tanzania.
Methods: In a cross-sectional study involving adults with or without HIV, insulin resistance and beta-cell dysfunction were calculated from plasma insulin and glucose measures during an oral glucose tolerance test. Diet data were collected using a validated food frequency questionnaire and dietary patterns were derived by principal component analysis and reduced rank regression. Logistic regression analysis was used to assess the association between exposure variables (dietary patterns terciles) with outcome variables (insulin resistance and beta-cell dysfunction), adjusting for HIV status, age, sex, body mass index, alcohol consumption, and smoking.
Results: Of 462 participants, the mean age was 42 (±12) years, 58% were females, and 60% were HIV-infected. Carbohydrate-dense patterns were associated with more insulin resistance by HOMA-IR (aOR 2.7, 95% CI 1.5; 4.8) and Matsuda index (aOR 3.7, 95% CI 2.0; 6.7), but not with either HOMA-β, insulinogenic index or oral disposition index. The level of adherence to either the vegetable-rich or vegetable-poor pattern was not associated with any of the markers of insulin resistance or beta-cell dysfunction. HIV infection did not affect the association between patterns of diet and glucose metabolism outcomes.
Conclusion: The lack of association between either vegetable-rich or vegetable-poor patterns with insulin resistance or beta cell dysfunction requires further research.
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http://dx.doi.org/10.1038/s41430-024-01518-5 | DOI Listing |
Background: Type 2 diabetes mellitus (T2DM) is among the modifiable risk factors for Alzheimer's disease (AD) and ranks among the leading chronic diseases globally. It is characterized by elevated blood glucose levels and insulin resistance, which over time may impair memory performance. More so, saliva appears to be a promising biomarker for the diagnosis of AD since conventional methods appear invasive and expensive in the country.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
UNAM, School of Medicine, Department of Physiology, CDMX, DF, Mexico.
Background: Type 2 diabetes mellitus (T2DM) is characterized by hyperglycemia and insulin resistance. Historically, it is linked to greater cognitive decline and risk of Alzheimer's dementia. Although deregulations in the insulin signaling pathway have been identified, further investigation is needed.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Wake Forest Alzheimer's Disease Research Center, Winston-Salem, NC, USA.
Background: Diet composition is associated with neurodegenerative disease risk including Alzheimer's Disease (AD). The adverse effects of Western-style diets may be moderated, in part, by systemic as well as central inflammation, whereas the neuroprotective effects of Mediterranean diets may work through mechanisms that promote anti-inflammatory phenotypes. Systemic inflammation also may induce insulin resistance, another risk factor for AD.
View Article and Find Full Text PDFBackground: Alzheimer's disease and type 2 diabetes mellitus rank among the top ten leading global causes of death. The association between diabetes and Alzheimer's is linked to chronic low-grade inflammation, hyperinsulinemia, and the interplay between peripheral and central insulin resistance, influencing insulin signalling. We evaluated the association between diabetes and Alzheimer's-related neuropathology in cognitively unimpaired older adults with diabetes.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Wake Forest University School of Medicine, Winston Salem, NC, USA.
Background: Insulin signaling deregulation in the brain is a critical risk factor for Alzheimer's disease (AD); however, molecular changes in this pathway during AD pathogenesis cannot be currently accessed in clinical setting due to lack of brain tissues. Here, we propose small extracellular vesicles (sEV) characterization as a non-invasive approach to assess the status of insulin signaling in the AD brain.
Method: In postmortem brain tissues of cognitively normal (CN) and AD (n=5 each) subjects, expression of 84 genes, involved in insulin signaling and resistance was analyzed using pathway specific PCR array.
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