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Semaglutide and cardiovascular outcomes in patients with obesity and prevalent heart failure: a prespecified analysis of the SELECT trial

We aimed to investigate if semaglutide was beneficial in patients with atherosclerotic cardiovascular disease with a history of heart failure compared with placebo; if there was a difference in outcome in patients designated as having heart failure with preserved ejection fraction compared with heart failure with reduced ejection fraction; and if the efficacy and safety of semaglutide in patients with heart failure was related to baseline characteristics or subtype of heart failure.

Semaglutide and cardiovascular outcomes in patients with obesity and prevalent heart failure: a prespecified analysis of the SELECT trial Read More »

The burden of cardiovascular disease in Asia from 2025 to 2050: a forecast analysis for East Asia, South Asia, South-East Asia, Central Asia, and high-income Asia Pacific regions

Given the rapidly growing burden of cardiovascular disease (CVD) in Asia, this study forecasts the CVD burden and associated risk factors in Asia from 2025 to 2050.

The burden of cardiovascular disease in Asia from 2025 to 2050: a forecast analysis for East Asia, South Asia, South-East Asia, Central Asia, and high-income Asia Pacific regions Read More »

The metabolic consequences of ‘yo-yo’ dieting are markedly influenced by genetic diversity

The research investigates the effects of weight loss and weight cycling on metabolic outcomes, highlighting the significant influence of genetic diversity. C57BL/6 J mice showed a return to baseline metabolic conditions after weight loss, while genetically diverse DOz mice exhibited persistent metabolic issues and greater variability. The study concludes that weight cycling is detrimental, leading to hyperinsulinemia and elevated insulin secretion, with no lasting benefits from prior weight loss.

The metabolic consequences of ‘yo-yo’ dieting are markedly influenced by genetic diversity Read More »

Network modeling approaches for metabolic diseases and diabetes

This research paper discusses the use of network modeling methods to study metabolic diseases, specifically inborn errors of metabolism, diabetes, and metabolism-related inflammation and autoimmune disorders. The main focus is on identifying causal agents and understanding the multifactorial mechanisms underlying these diseases. The paper also highlights the role of the gut microbiome in metabolic diseases, particularly in diabetes. However, there are limitations and gaps in current research that require further attention.

Network modeling approaches for metabolic diseases and diabetes Read More »

The association between serum high-density lipoprotein and hemoglobin A1c in T2DM: Evidence from a nationwide cross-sectional study in diabetic patients

This study found a U-shaped relationship between HDL and HbA1c levels in T2DM patients, with an inflection point at 59 mg/dl. Males with higher HDL are more likely to achieve glycemic control, while females show a U-shaped relationship. Further research is needed to understand this gender-specific correlation.

The association between serum high-density lipoprotein and hemoglobin A1c in T2DM: Evidence from a nationwide cross-sectional study in diabetic patients Read More »

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