Obesity-related TyG indices, reflecting insulin resistance, were linked to higher risk of retinal arteriosclerosis. Findings highlight how metabolic dysfunction and poor cardiovascular health contribute to early microvascular injury, reinforcing the need for integrated risk assessment.
Source : https://pubmed.ncbi.nlm.nih.gov/41948357/
Insulin resistance due to lipodystrophy syndromes is an uncommon but important cause of diabetes. It is often overlooked due to limited awareness. Standard glucose-lowering therapies often fail to achieve durable...
Lipodystrophy is a rare cause of insulin resistance and early diabetes, often misdiagnosed. Genetic causes like SHORT syndrome should be suspected in lean patients with atypical features and poor response to standard therapies.
Source : https://pubmed.ncbi.nlm.nih.gov/41918976/
The physiological roles of prolactin extend beyond its classical functions in reproductive regulation. Emerging evidence indicates that prolactin is involved in energy homeostasis and may interact pathophysiologically with obesity; this...
Source : https://pubmed.ncbi.nlm.nih.gov/41774188/
The global rise in obesity and depression, two highly prevalent and often comorbid disorders has intensified interest in the gut-brain axis as a shared biological link. Mounting evidence indicates that...
Review links gut dysbiosis to obesity-depression comorbidity via SCFAs, GLP-1, bile acids modulating metabolism, inflammation, mood through gut-brain axis; GLP-1RAs (semaglutide), psychobiotics, FMT offer dual-targeting therapeutic promise.
Did you know? Experts highlight that relying solely on BMI may overlook important phenotypic differences in obesity and associated cardiometabolic risks. Recent consensus recommendations emphasize integrating anthropometric, biochemical, and emerging digital tools to better capture obesity heterogeneity and guide more personalized prevention and management strategies.
Could expanding obesity assessment beyond BMI help improve risk stratification and clinical decision-making in patients with obesity?
Could expanding obesity assessment beyond BMI help improve risk stratification and clinical decision-making in patients with obesity?