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Search: L773:2045 2322 > Ahlström Håkan 1953 > Integration of whol...

Integration of whole-body [18F]FDG PET/MRI with non-targeted metabolomics can provide new insights on tissue-specific insulin resistance in type 2 diabetes

Diamanti, Klev, 1987- (author)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Institutionen för cell- och molekylärbiologi
Visvanathar, Robin (author)
Uppsala universitet,Radiologi
Pereira, Maria J., 1981- (author)
Uppsala universitet,Klinisk diabetologi och metabolism
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Cavalli, Marco (author)
Uppsala universitet,Medicinsk genetik och genomik,Science for Life Laboratory, SciLifeLab
Pan, Gang (author)
Uppsala universitet,Medicinsk genetik och genomik,Science for Life Laboratory, SciLifeLab
Kumar, Chanchal (author)
Skrtic, Stanko (author)
Risérus, Ulf, 1967- (author)
Uppsala universitet,Klinisk nutrition och metabolism
Eriksson, Jan W. (author)
Uppsala universitet,Klinisk diabetologi och metabolism
Kullberg, Joel, 1979- (author)
Uppsala universitet,Radiologi,Antaros Medical AB, Mölndal, Sweden
Komorowski, Jan (author)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Beräkningsbiologi och bioinformatik,Institute of Computer Science, PAN, Warsaw, Poland
Wadelius, Claes, 1955- (author)
Uppsala universitet,Science for Life Laboratory, SciLifeLab,Medicinsk genetik och genomik
Ahlström, Håkan, 1953- (author)
Uppsala universitet,Radiologi,Antaros Medical AB, Mölndal, Sweden
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 (creator_code:org_t)
2020-05-20
2020
English.
In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 10:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Alteration of various metabolites has been linked to type 2 diabetes (T2D) and insulin resistance. However, identifying significant associations between metabolites and tissue-specific phenotypes requires a multi-omics approach. In a cohort of 42 subjects with different levels of glucose tolerance (normal, prediabetes and T2D) matched for age and body mass index, we calculated associations between parameters of whole-body positron emission tomography (PET)/magnetic resonance imaging (MRI) during hyperinsulinemic euglycemic clamp and non-targeted metabolomics profiling for subcutaneous adipose tissue (SAT) and plasma. Plasma metabolomics profiling revealed that hepatic fat content was positively associated with tyrosine, and negatively associated with lysoPC(P-16:0). Visceral adipose tissue (VAT) and SAT insulin sensitivity (Ki), were positively associated with several lysophospholipids, while the opposite applied to branched-chain amino acids. The adipose tissue metabolomics revealed a positive association between non-esterified fatty acids and, VAT and liver Ki. Bile acids and carnitines in adipose tissue were inversely associated with VAT Ki. Furthermore, we detected several metabolites that were significantly higher in T2D than normal/prediabetes. In this study we present novel associations between several metabolites from SAT and plasma with the fat fraction, volume and insulin sensitivity of various tissues throughout the body, demonstrating the benefit of an integrative multi-omics approach.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

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