obesity

Alyssa Hasty, PhD, left, Jeffrey Rathmell, PhD, and Kamran Idrees, MD, MSCI, are part of a multidisciplinary team that received a 2023 Endeavor Award from The Mark Foundation for Cancer Research to study the connection between obesity and cancer. Team members not pictured include Kathryn Wellen, PhD, Liza Makowski, PhD, and Kathryn Beckermann, MD, PhD.

Vanderbilt-led team receives 2023 Endeavor Award from The Mark Foundation for Cancer Research

A multidisciplinary team of investigators has received a 2023 Endeavor Award from The Mark Foundation for Cancer Research to support four closely linked projects exploring the fundamental mechanisms that drive the obesity-cancer connection,

From left, Sheila Collins, PhD, Ryan Ceddia, PhD, and Heidi Hamm, PhD, and their colleagues have identified a potential new approach to reducing the global impact of obesity and diabetes. (photo by Erin O. Smith)

Releasing a brake that drives obesity and diabetes

Vanderbilt researchers have uncovered a potential new way to help curb the rapidly rising worldwide prevalence of metabolic disorders, including obesity and diabetes.

Heather Pua, MD, PhD, and Neil Sprenkle, PhD, have discovered a protective role for microRNAs in immune cell macrophages during obesity, potentially opening new therapeutic avenues.

MicroRNAs in immune cells help protect against metabolic defects in obesity: study

Vanderbilt researchers have demonstrated that a cluster of microRNAs — small pieces of RNA that regulate gene expression — work in a type of immune cells called macrophages to help protect against metabolic defects in obesity.

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.

Research network yields significant findings related to obesity

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.

1 2 3 4 7