Thread by @nick_krontiris

The findings of this study suggest that inflammation (glycated proteins and small:total HDL particle ratio) and muscle metabolism (creatinine, creatine) may play a substantial role in the development of type 2 diabetes.

- The aim of this study was to combine nuclear magnetic resonance-based metabolomics and machine learning to find a glucose-independent molecular signature associated with future type 2 diabetes mellitus development.

- A case-control design nested in a population-based cohort ([e-mail] study) was used in this study.

- The [e-mail] Study is the first national study in Spain to examine the prevalence of diabetes and impaired glucose regulation.

- It consisted of 4700 individuals with metabolomic data available (43% men), with ages ranging from 18 to 93 years old, of whom 2181 participated in the follow-up 8 years later.

- Glyc A was the strongest predictor of diabetes mellitus, whereas Glyc B, Glyc F and the small to total particle ratios of HDL were all associated with a lower risk of developing type 2 diabetes mellitus.

- Moreover, creatinine and creatine were also associated with a lower risk of developing type 2 diabetes.

- Some other variables were also found suggestive of being associated with the risk of developing type 2 diabetes:

Acetone, lactate, histidine, TG to cholesterol ratios of LDL and small to total particle ratios of LDL were associated with an increased risk, while alanine and TG to cholesterol ratios of HDL were associated with a decreased risk of developing type 2 diabetes.

Finally, analysis also suggested that, at high Glyc B levels, the effect of Glyc A on diabetes development was no longer statistically significant.

NMR-based metabolomic profiling identifies inflammation and muscle-related metabolites as predictors of incident type 2 diabetes mellitus beyond glucose: The [e-mail] study

doi.org/10.1016/j.diab…

#MetabolicSyndrome #Cholesterol #Triglycerides #Inflammation #Obesity #Diabetes