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Maurer, E.* ; Rospleszcz, S. ; Rathmann, W.* ; Thorand, B. ; Peters, A. ; Schlett, C.L.* ; Bamberg, F.* ; Kiefer, L.S.*

MRI-based phenotyping for osteosarcopenic adiposity in subjects from a population-based cohort.

Geriatrics 9:150 (2024)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Objective: Imaging biomarkers of bone, muscle, and fat by magnetic resonance imaging (MRI) may depict osteopenia, sarcopenia, and adiposity as the three different conditions of osteosarcopenic adiposity (OSA). Methods: Subjects from a prospective, population-based case-control study underwent a health assessment and 3 Tesla whole-body MRI scan. Imaging biomarkers of bone (bone marrow fat-fraction (BMFF)), skeletal muscle (skeletal muscle FF (SMFF)), and fat (total adipose tissue (TAT)) were determined. Participants were allocated to one phenotype according to the OSA complex. Results: Among 363 participants forming the study cohort, 81 (22.3%, 48.1% males, 62.4 ± 6.9 years) were allocated into the OSA subgroup. Participants with an OSA phenotype were significantly older compared to all remaining subjects and showed the highest grades of SMFF (all p < 0.005). Together with subjects from the osteopenic sarcopenia group, OSA subjects exhibited the highest amounts of BMFF and together with the three other adiposity-containing subgroups also exhibited the highest BMIs. The highest prevalence of an impaired glucose tolerance as well as significantly higher blood pressure, blood dyslipidemia, and hepatic steatosis was found in the OSA subgroup (all p < 0.005). Conclusions: MR biomarkers of bone, skeletal muscle and fat are feasible for body composition phenotyping and may allow for targeted risk stratification in suspected OSA syndrome.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Imaging Biomarker ; Magnetic Resonance Imaging ; Osteosarcopenic Adiposity ; Phenotyping ; Population-based Cohort Imaging; Obesity; Sarcopenia; Bone; Fat; Complications; Association; Predictor; Mortality; Disease; Tissue
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 2308-3417
e-ISSN 2308-3417
Zeitschrift Geriatrics
Quellenangaben Band: 9, Heft: 6, Seiten: , Artikelnummer: 150 Supplement: ,
Verlag MDPI
Verlagsort St Alban-anlage 66, Ch-4052 Basel, Switzerland
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
POF Topic(s) 30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-010
G-504000-002
Förderungen Siemens Healthineers
German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)
Munchner Zentrum fur Gesundheitswissenschaften (MC-Health), Ludwig-Maximilians-Universitat Munchen, as part of LMUinnovativ
State of Bavaria
Helmholtz Zentrum Munchen, German Research Center for Environmental Health - Bundesministerium fur Bildung und Forschung (BMBF)
DOI 10.3390/geriatrics9060150
WOS ID 001385465200001
Scopus ID 85213365468
PubMed ID 39584951
Erfassungsdatum 2024-12-03
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