type 2 diabetes Archive — Page 1 of 3

Rows of labeled blood collection tubes with purple caps arranged in a plastic tray, with barcodes visible on several tubes.
February 1, 2024

A biomarker for early Type 2 diabetes

Genetic analyses suggest that branched chain amino acids may be a sensitive biomarker of early or subclinical Type 2 diabetes and could be used to identify risk and implement preventive measures.

Person using a handheld blood glucose meter with a test strip on a fingertip; a lancing device and small container sit nearby.
January 4, 2024

Study shows liraglutide results in increased insulin sensitivity independent of weight loss

Four researchers pose in a laboratory beside scientific equipment and shelving: a man in a light shirt, an older man in a suit and glasses, a woman in a purple top and cardigan, and a woman in a black top.
December 4, 2023

Study links gene network and pancreatic beta cell defects to Type 2 diabetes

A comprehensive study that integrates multiple analytic approaches has linked a regulatory gene network and functional defects in insulin-producing pancreatic beta cells to Type 2 diabetes.

Portrait of a smiling woman with brown hair and bangs, wearing a dark sweater and a silver necklace against a pale wall.
March 15, 2023

Ashcroft named to receive Vanderbilt Prize in Biomedical Science

Professor Dame Frances Ashcroft, a British physiologist known internationally for her work on insulin secretion, Type 2 diabetes and neonatal diabetes, is the recipient of the 2023 Vanderbilt Prize in Biomedical Science.

Gloved hand holding a blood sample tube above a rack of color-coded laboratory tubes.
February 21, 2023

Diabetes drug may improve asthma

New biomarker finding strengthens the case for using GLP-1R agonists to treat patients with Type 2 diabetes who also suffer from asthma.

Abstract green and blue digital network with glowing grid lines, data points, and layered wave-like forms around a dark central area.
October 24, 2022

Metabolic signatures of Type 2 diabetes risk

Vanderbilt epidemiologists found 32 blood metabolites associated with obesity and showed that adding these to traditional disease prediction models improves accuracy of determining Type 2 diabetes risk.