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.
In a retrospective analysis of 2,296 real-world GLP-1 receptor agonist users, higher engagement with a breath-based metabolic monitoring device was significantly associated with greater 24-week weight loss and improved metabolic flexibility, though the observational nature of the study precludes definitive causal conclusions.
This study demonstrates that accounting for age-related increases in HbA1c through age-adjusted values or a higher threshold (≥6.0%) in adults ≥30 years more accurately quantifies Type 1 Diabetes progression risk in islet autoantibody-positive individuals, thereby preventing the overestimation of risk that occurs with standard dysglycemia criteria.
This UK audit reveals that despite the critical role of National Governing Bodies in ensuring safe sports participation, only a small minority (2%) have dedicated policies to support athletes with Type 1 Diabetes, with similarly scarce provisions for those with asthma, epilepsy, and allergies, highlighting an urgent need for comprehensive national policy development.
In a cross-sectional study of 1,300 young women with polycystic ovary syndrome, androgen-related biomarkers were found to be independently associated with specific complete blood count-derived inflammatory indices, particularly red cell distribution width and platelet-to-lymphocyte ratio, even after accounting for insulin resistance.
This longitudinal proteogenomic study of 458 participants elucidates the molecular mechanisms driving the progression from prediabetes to type 2 diabetes by identifying predictive plasma proteins, mapping genetic variants, and establishing causal links between allele-driven protein expression and key metabolic traits, thereby supporting the view that these conditions represent stages on a unified metabolic spectrum.
This study utilizes integrated miRNA-mRNA profiling of human visceral adipose tissue to identify specific dysregulated regulatory networks and candidate biomarkers that drive the pathological transition from obesity to type 2 diabetes.
This study demonstrates that a commercially available IA-2 ELISA can effectively replace the radiobinding assay for calculating progression likelihood scores, enabling accurate risk stratification of early-stage type 1 diabetes children to clinical disease.
The COSMOS-DIGITAL feasibility study demonstrates that fully decentralized clinical trials utilizing online patient communities can successfully recruit individuals on antiobesity medications and achieve high completion rates for at-home self-blood testing and digital surveys, thereby validating this approach for capturing real-world treatment experiences.
In a real-world analysis of over 4,000 patients, the majority maintained stable weight or continued losing weight for up to a year after their last GLP-1RA prescription, with exercise counseling identified as a significant factor associated with durable weight loss.
This systematic review and meta-analysis of 1,247 samples reveals that gut microbiome alterations in Type 2 Diabetes are subtle and inconsistent during early stages but become pronounced and reproducible in patients with complications, suggesting microbiome-based biomarkers are more effective for tracking disease progression than for early detection.