Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans.

By E. Rhee, Susan Cheng, Martin G. Larson, G. Walford, G. Lewis, Elizabeth L. McCabe, Elaine Yang, Laurie A. Farrell, Caroline S. Fox, C. O’Donnell and 6 more. Journal of Clinical Investigation, 2011

605 citations recorded by the source corpus.

Subfields: Endocrinology, Diabetes and Metabolism, Molecular Biology, Nutrition and Dietetics

View Paper: https://www.semanticscholar.org/paper/948a916d9405ce5b60d40f6bc7fc04ce5983c57e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Endocrinology, Diabetes and Metabolism

1. F. B. Hu
2. M. Schulze
3. W. Willett
4. Vasanti S. Malik

In Molecular Biology

1. B. Kahn
2. David S. Wishart
3. Thomas Illig
4. Jerzy Adamski
5. Jianguo Xia
6. Jasmine Chong
7. Beomsoo Han
8. Igor Sinelnikov

In Nutrition and Dietetics

1. M. Schulze
2. H. Boeing
3. B. Kahn
4. David S. Wishart
5. F. B. Hu
6. A. Hruby
7. W. Willett
8. G. Hoffmann

Citations in the corpus

• Identification of Serum Metabolites Associated With Risk of Type 2 Diabetes Using a Targeted Metabolomic Approach (2013, result): “Similar observations have recently been reported for fatty acid compositions of erythrocyte membrane phospholipids (54) and triglycerides (55), suggesting that lipids with a shorter chain length and saturated fatty acid residues may trigger development of T2D, whereas those containing longer chains ”
• Metabolomics for Investigating Physiological and Pathophysiological Processes. (2019, background): “Interestingly, a similar TAG profile has been found (in large cohort studies) to be present in individuals who have acquired insulin resistance (393).”
• Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis (2016, background): “Authors concluded that lipids of lower carbon number and lower double-bond content, especially triacylglycerols (TAGs), were associatedwith higher risk of prediabetes and type 2 diabetes, while those with higher carbon number and more double bondswere associatedwith lower risk (9).”
• Discovery of a class of endogenous mammalian lipids with anti-diabetic and anti-inflammatory effects (2014, background): “The major pathogenic factors underlying T2D are resistance to insulin action in peripheral tissues and dysregulated insulin secretion.”