SwePub
Sök i LIBRIS databas

  Utökad sökning

WFRF:(Di Somma Salvatore)
 

Sökning: WFRF:(Di Somma Salvatore) > Metabolome-Defined ...

Metabolome-Defined Obesity and the Risk of Future Type 2 Diabetes and Mortality

Ottosson, Filip (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups,Danish Serum Institute, Copenhagen
Smith, Einar (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups
Ericson, Ulrika (författare)
Lund University,Lunds universitet,Diabetes - kardiovaskulär sjukdom,Forskargrupper vid Lunds universitet,Diabetes - Cardiovascular Disease,Lund University Research Groups
visa fler...
Brunkwall, Louise (författare)
Lund University,Lunds universitet,Diabetes - kardiovaskulär sjukdom,Forskargrupper vid Lunds universitet,Diabetes - Cardiovascular Disease,Lund University Research Groups
Orho-Melander, Marju (författare)
Lund University,Lunds universitet,Diabetes - kardiovaskulär sjukdom,Forskargrupper vid Lunds universitet,Diabetes - Cardiovascular Disease,Lund University Research Groups
Di Somma, Salvatore (författare)
Sapienza University of Rome,Global Research in Acute Conditions (GREAT)
Antonini, Paola (författare)
Global Research in Acute Conditions (GREAT)
Nilsson, Peter M (författare)
Lund University,Lunds universitet,Internmedicin - epidemiologi,Forskargrupper vid Lunds universitet,Internal Medicine - Epidemiology,Lund University Research Groups
Fernandez, Céline (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups
Melander, Olle (författare)
Lund University,Lunds universitet,Kardiovaskulär forskning - hypertoni,Forskargrupper vid Lunds universitet,Cardiovascular Research - Hypertension,Lund University Research Groups
visa färre...
 (creator_code:org_t)
2022-03-14
2022
Engelska.
Ingår i: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 45:5, s. 1260-1267
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • OBJECTIVE: Obesity is a key risk factor for type 2 diabetes; however, up to 20% of patients are normal weight. Our aim was to identify metabolite patterns reproducibly predictive of BMI and subsequently to test whether lean individuals who carry an obese metabolome are at hidden high risk of obesity-related diseases, such as type 2 diabetes.RESEARCH DESIGN AND METHODS: Levels of 108 metabolites were measured in plasma samples of 7,663 individuals from two Swedish and one Italian population-based cohort. Ridge regression was used to predict BMI using the metabolites. Individuals with a predicted BMI either >5 kg/m2 higher (overestimated) or lower (underestimated) than their actual BMI were characterized as outliers and further investigated for obesity-related risk factors and future risk of type 2 diabetes and mortality.RESULTS: The metabolome could predict BMI in all cohorts (r2 = 0.48, 0.26, and 0.19). The overestimated group had a BMI similar to individuals correctly predicted as normal weight, had a similar waist circumference, were not more likely to change weight over time, but had a two times higher risk of future type 2 diabetes and an 80% increased risk of all-cause mortality. These associations remained after adjustments for obesity-related risk factors and lifestyle parameters.CONCLUSIONS: We found that lean individuals with an obesity-related metabolome have an increased risk for type 2 diabetes and all-cause mortality compared with lean individuals with a healthy metabolome. Metabolomics may be used to identify hidden high-risk individuals to initiate lifestyle and pharmacological interventions.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

Publikations- och innehållstyp

art (ämneskategori)
ref (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy