The person-specific adjusted HbA_1c addresses non-glycaemic variation in laboratory HbA_1c due to red blood cell lifespan differences, potentially providing a better marker to predict diabetes complications and guide glycaemic management.

Computational methods were used to develop accurate manual scorecards for early detection of participants at risk of type 2 diabetes based on the UK Biobank database.

Host-microbe interactions are an important influence on changing disease burdens in vulnerable remote communities.

Circulating high-molecular-weight (cHMW) adiponectin levels increased with age until centenarians, and the contribution of known major factors associated with cHMW adiponectin levels including BMI varied with age, suggesting that its physiological significance also varies with age in the oldest old.

There was substantial change in primary care activity following the onset of the COVID-19 pandemic in March 2019 as indicated by key measures reflective of clinical activity in general practice but service was largely restored by April 2021.

Unsteady state modeling of blood cell populations reveals that blood loss triggers a cellular clearance delay and a cellular production increase, and modeling provides earlier detection and individualized patient characterization.

COVID-19 negatively affected pancreatic cancer care by reducing surgical resections and pre-diagnostic testing with BMI and HbA1c, and it also negatively affected the quality of data for research.

In individuals with type 2 diabetes, downregulation of bone canonical Wnt signaling is linked to higher levels of advanced glycation end-products within the bone, contributing to lower bone strength.

Mendelian randomization suggests the possibility that the observational effects of obesity and related metabolic traits in head and neck cancer risk are overestimated.