Type 2 & other diabetes

Adipose tissue-derived metabolite risk scores and risk for type 2 diabetes in South Asians

Int J Obes (Lond)Published Prospective cohort study

Authors' conclusion

Metabolite risk scores for intrahepatic fat and visceral fat were strongly related to incident T2D independent of measured adiposity. Use of these biomarkers to target risk stratification may help capture pre-clinical metabolic abnormalities.

Study context

Population
South Asians aged 40–84 years without known CVD or T2D, with metabolomic data, Mediators of Atherosclerosis in South Asians Living in America (MASALA) cohort; average age 55 years, 36% women, average body mass index (BMI) 25 kg/m², 6% hepatic steatosis
Participants
550 participants
Exposure
Metabolite risk scores for hepatic steatosis (MET-Liver) and visceral fat (MET-Visc) and incident T2D
Outcome
Incident T2D
Follow-up
5 years
Methodological detailsmetabolomic risk score derivation (elastic net regression), Baseline CT assessed hepatic attenuation and visceral fat area; LC-MS-based untargeted metabolomics; logistic regression adjusted for age, gender, site, BMI, physical activity, diet quality, energy intake and cholesterol-lowering medication
  • Metabolomic risk score derivation (elastic net regression)
  • Baseline CT assessed hepatic attenuation and visceral fat area; LC-MS-based untargeted metabolomics; logistic regression adjusted for age, gender, site, BMI, physical activity, diet quality, energy intake and cholesterol-lowering medication

Main finding

As reported in the abstract

Incident T2D (47 cases)

MET-Liver and higher odds of T2D, OR

2.04 (1.38, 3.03) (95% CI)

MET-Visc and higher odds of T2D, OR

2.80 (1.75, 4.46) (95% CI)

Observational data: associations, not effects.

Further findings

Metabolites of known identity
445
Metabolites in MET-Visc score
313
Metabolites in MET-Liver score
267

Original publication

Adipose tissue-derived metabolite risk scores and risk for type 2 diabetes in South Asians. Int J Obes (Lond). Published 20 January 2024. doi:10.1038/s41366-023-01457-4

Composed by AI from the published abstract and checked against it. How Briefs are made →

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