40 papers
Endocrinology explores the complex network of hormones that regulate nearly every function in the human body, from metabolism and growth to mood and reproduction. When this delicate chemical signaling system falters, it can lead to a wide range of conditions, including diabetes, thyroid disorders, and fertility issues. Understanding these mechanisms is vital for developing treatments that restore balance and improve quality of life.
At Gist.Science, we make the latest research from medRxiv accessible to everyone. We process every new preprint in this category as it becomes available, transforming dense medical findings into clear, plain-language overviews alongside detailed technical summaries. This approach ensures that both curious readers and specialists can stay informed without getting lost in jargon.
Below are the latest endocrinology preprints we have processed, offering fresh insights into how our internal chemistry shapes health and disease.
This large cross-sectional study of 1,300 women with polycystic ovary syndrome (PCOS) found that thyroid autoimmunity is not associated with a more severe cardiometabolic or androgenic phenotype, suggesting that anti-TPO positivity alone does not identify a metabolically high-risk PCOS subgroup.
This study utilizing UK Biobank data reveals that while the Edmonton Obesity Staging System and the Lancet Commission Diagnostic Model show high concordance for established disease, they differ significantly in early-stage classification due to distinct operational definitions of organ dysfunction, suggesting that integrating both frameworks could enhance obesity risk stratification and intervention targeting.
This study applies a causal mediation framework enhanced by a Causally-constrained Linear Autoencoder to continuous glucose monitoring data from Type 1 Diabetes patients, revealing significant heterogeneity in how carbohydrate intake affects glucose levels through direct versus insulin-mediated pathways, particularly highlighting systematic under-compensation at dinner that is masked by population-average analyses.
This cross-sectional NHANES study reveals that kidney stones are independently associated with reduced femoral neck bone mineral density, a relationship partially mediated by an altered calcium-to-phosphorus ratio, particularly among younger individuals and those without chronic kidney disease.
This study projects that following the 2026 patent expiry, generic semaglutide could be produced for as little as 140 annually and made available in 160 countries covering the majority of the global obesity and type 2 diabetes burden, though equitable access will depend on addressing device costs and secondary patents through coordinated policy action.
In a large cohort of young women with polycystic ovary syndrome, data-driven clustering identified two distinct endocrine-metabolic phenotypes, including a rare thyroid/autoimmune-enriched subgroup associated with a higher prevalence of atherogenic lipid profiles, highlighting the value of integrated profiling for early cardiometabolic risk stratification beyond traditional diagnostic criteria.
This study validates the reliability and structure of the Diabetes Diet Adherence Scale (D-DAS) for Indian type 2 diabetes patients, finding it to be a robust measurement tool while revealing that only 68.3% of participants adhered to their prescribed diet plans.
This study identifies SPARC as a promising biomarker for active thyroid eye disease by demonstrating its elevated expression in orbital fibroblasts, its correlation with disease severity and thyroid hormone levels, and its decline following the active phase of the condition.
This study analyzes metabolic signatures in 476 Michigan Medicine patients to demonstrate that obesity status significantly modulates the severity of metabolic and cardiovascular symptoms associated with Cushing's disease, highlighting the need to account for obesity when evaluating the disease's effects.
This prospective observational study introduces and validates the adipo-B index as a superior, unified metric for assessing systemic metabolic status and therapeutic response in type 2 diabetes by integrating adipose tissue insulin resistance and pancreatic beta-cell function across multiple treatment strategies.