In our study, MetS is not associated with cognitive performance in elderly Chinese population. However, elderly Chinese with diabetes would have lower cognition function, and the dyslipidemia might be reversely associated with the cognitive function.
There are few biomarkers of glycemic response among youth with T2D, despite increasing disease prevalence and suboptimal response to approved therapies. We hypothesized that plasma metabolites may predict glycemic outcomes in youth-onset T2D. We measured 480 metabolites in fasting plasma samples in the Treatment options for T2D in Adolescents and Youth (TODAY) study (n=391), in which youth with T2D aged 10-17 years were randomized to metformin alone, metformin + rosiglitazone, or metformin + intensive lifestyle intervention. Metabolite associations with loss of glycemic control (defined as HbA1c ≥8% for 6 months or need for insulin therapy) were modeled using Cox proportional hazards regression adjusted for baseline age, sex, race/ethnicity, BMI, treatment group, and fasting glucose. Loss of glycemic control was observed in 150 of 391 youth (mean 2.6 years). Baseline levels of 11 metabolites were associated with loss of glycemic control (FDR<0.05, Fig. 1A). Treatment group modified the association of hexose and xanthurenic acid levels with glycemic control. For both compounds, youth with higher baseline levels had a lower risk of treatment failure when randomized to metformin therapy alone (Fig. 1B). Thus, metabolomics provides insight into circulating analytes associated with loss of glycemic control, and may highlight different effects of specific treatments in youth with T2D. Disclosure Z. Chen: None. C. Lu: None. X. Shi: None. S. Zheng: None. D. Wolfs: None. P. Bjornstad: Advisory Panel; AstraZeneca, Novo Nordisk, Lilly, Horizon Therapeutics plc, Boehringer Ingelheim (Canada) Ltd., LG Chem, Consultant; Bayer Inc., Bristol-Myers Squibb Company. R. E. Gerszten: None. E. M. Isganaitis: None. Funding National Institutes of Health (K23DK127073)
In the modern society, chronic diseases are a major problem plaguing many elderly people. The problem that comes with chronic diseases is how to do proper self-management. Therefore, this study will research this issue from the perspective of the elderly to explore the root of the problem. At the same time, this study will discuss three aspects of health care, diet, and exercise. This study will research existing apps and websites, identify problems and propose solutions. At the same time, this study will design a database on the self-management of the elderly at home based on the survey results and survey data on the elderly. This study got inspiration from the DNA database classification project. This study hoped to integrate the information on the use of the drug, the number of daily use, and taboos according to the instructions of the drug, and finally integrate it into a general database.
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