FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3159432323> ?p ?o ?g. }

• W3159432323 endingPage "1878" @default.
• W3159432323 startingPage "1868" @default.
• W3159432323 abstract "Aim To evaluate the distribution of intramyocellular lipids (IMCLs) and extramyocellular lipids (EMCLs) as well as total fat content in abdominal skeletal muscle by magnetic resonance imaging (MRI) using a dedicated segmentation algorithm in subjects with type 2 diabetes (T2D), prediabetes and normoglycaemic controls. Materials and Methods Subjects from a population-based cohort were classified with T2D, prediabetes or as normoglycaemic controls. Total myosteatosis, IMCLs and EMCLs were quantified by multiecho Dixon MRI as proton-density fat-fraction (in %) in abdominal skeletal muscle. Results Among 337 included subjects (median age 56.0 [IQR: 49.0-64.0] years, 56.4% males, median body mass index [BMI]: 27.2 kg/m2), 129 (38.3%) were classified with an impaired glucose metabolism (T2D: 49 [14.5%]; prediabetes: 80 [23.7%]). IMCLs were significantly higher than EMCLs in subjects without obesity (5.7% [IQR: 4.8%-7.0%] vs. 4.1% [IQR: 2.7%-5.8%], P < .001), whereas the amounts of IMCLs and EMCLs were shown to be equal and significantly higher in subjects with obesity (both 6.7%, P < .001). Subjects with prediabetes and T2D had significantly higher amounts of IMCLs and EMCLs compared with normoglycaemic controls (P < .001). In univariable analysis, prediabetes and T2D were significantly associated with both IMCLs (prediabetes: β: 0.76, 95% CI: 0.28-1.24, P = .002; T2D: β: 1.56, 95% CI: 0.66-2.47, P < .001) and EMCLs (prediabetes: β: 1.54, 95% CI: 0.56-2.51, P = .002; T2D: β: 2.15, 95% CI: 1.33-2.96, P < .001). After adjustment for age and gender, the association of IMCLs with prediabetes attenuated (P = 0.06), whereas for T2D, both IMCLs and EMCLs remained significantly and positively associated (P < .02). Conclusion There are significant differences in the amount and distribution ratio of IMCLs and EMCLs between subjects with T2D, prediabetes and normoglycaemic controls. Therefore, these patterns of intramuscular fat distribution by MRI might serve as imaging biomarkers in both normal and impaired glucose metabolism." @default.
• W3159432323 created "2021-05-10" @default.
• W3159432323 creator A5001900750 @default.
• W3159432323 creator A5012231306 @default.
• W3159432323 creator A5013221062 @default.
• W3159432323 creator A5014041342 @default.
• W3159432323 creator A5015192785 @default.
• W3159432323 creator A5021542554 @default.
• W3159432323 creator A5024319534 @default.
• W3159432323 creator A5032266841 @default.
• W3159432323 creator A5036003428 @default.
• W3159432323 creator A5042911536 @default.
• W3159432323 creator A5047348776 @default.
• W3159432323 creator A5052223589 @default.
• W3159432323 creator A5056509281 @default.
• W3159432323 creator A5057463669 @default.
• W3159432323 creator A5061297697 @default.
• W3159432323 creator A5069218966 @default.
• W3159432323 date "2021-05-17" @default.
• W3159432323 modified "2023-10-16" @default.
• W3159432323 title "Distribution patterns of intramyocellular and extramyocellular fat by magnetic resonance imaging in subjects with diabetes, prediabetes and normoglycaemic controls" @default.
• W3159432323 cites W1995726350 @default.
• W3159432323 cites W2011117130 @default.
• W3159432323 cites W2012898950 @default.
• W3159432323 cites W2014160361 @default.
• W3159432323 cites W2025024762 @default.
• W3159432323 cites W2040459468 @default.
• W3159432323 cites W2041432351 @default.
• W3159432323 cites W2075408008 @default.
• W3159432323 cites W2082440419 @default.
• W3159432323 cites W2115830695 @default.
• W3159432323 cites W2133711136 @default.
• W3159432323 cites W2148020672 @default.
• W3159432323 cites W2148562280 @default.
• W3159432323 cites W2151246490 @default.
• W3159432323 cites W2160391830 @default.
• W3159432323 cites W2164122881 @default.
• W3159432323 cites W2167792970 @default.
• W3159432323 cites W2170585273 @default.
• W3159432323 cites W2170869159 @default.
• W3159432323 cites W2346503640 @default.
• W3159432323 cites W2430143578 @default.
• W3159432323 cites W2564841362 @default.
• W3159432323 doi "https://doi.org/10.1111/dom.14413" @default.
• W3159432323 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33914415" @default.
• W3159432323 hasPublicationYear "2021" @default.
• W3159432323 type Work @default.
• W3159432323 sameAs 3159432323 @default.
• W3159432323 citedByCount "13" @default.
• W3159432323 countsByYear W31594323232021 @default.
• W3159432323 countsByYear W31594323232022 @default.
• W3159432323 countsByYear W31594323232023 @default.
• W3159432323 crossrefType "journal-article" @default.
• W3159432323 hasAuthorship W3159432323A5001900750 @default.
• W3159432323 hasAuthorship W3159432323A5012231306 @default.
• W3159432323 hasAuthorship W3159432323A5013221062 @default.
• W3159432323 hasAuthorship W3159432323A5014041342 @default.
• W3159432323 hasAuthorship W3159432323A5015192785 @default.
• W3159432323 hasAuthorship W3159432323A5021542554 @default.
• W3159432323 hasAuthorship W3159432323A5024319534 @default.
• W3159432323 hasAuthorship W3159432323A5032266841 @default.
• W3159432323 hasAuthorship W3159432323A5036003428 @default.
• W3159432323 hasAuthorship W3159432323A5042911536 @default.
• W3159432323 hasAuthorship W3159432323A5047348776 @default.
• W3159432323 hasAuthorship W3159432323A5052223589 @default.
• W3159432323 hasAuthorship W3159432323A5056509281 @default.
• W3159432323 hasAuthorship W3159432323A5057463669 @default.
• W3159432323 hasAuthorship W3159432323A5061297697 @default.
• W3159432323 hasAuthorship W3159432323A5069218966 @default.
• W3159432323 hasBestOaLocation W31594323232 @default.
• W3159432323 hasConcept C126322002 @default.
• W3159432323 hasConcept C134018914 @default.
• W3159432323 hasConcept C2777180221 @default.
• W3159432323 hasConcept C2777693730 @default.
• W3159432323 hasConcept C2779668308 @default.
• W3159432323 hasConcept C2779959927 @default.
• W3159432323 hasConcept C2780221984 @default.
• W3159432323 hasConcept C2780578515 @default.
• W3159432323 hasConcept C2908647359 @default.
• W3159432323 hasConcept C511355011 @default.
• W3159432323 hasConcept C555293320 @default.
• W3159432323 hasConcept C71924100 @default.
• W3159432323 hasConcept C72563966 @default.
• W3159432323 hasConcept C99454951 @default.
• W3159432323 hasConceptScore W3159432323C126322002 @default.
• W3159432323 hasConceptScore W3159432323C134018914 @default.
• W3159432323 hasConceptScore W3159432323C2777180221 @default.
• W3159432323 hasConceptScore W3159432323C2777693730 @default.
• W3159432323 hasConceptScore W3159432323C2779668308 @default.
• W3159432323 hasConceptScore W3159432323C2779959927 @default.
• W3159432323 hasConceptScore W3159432323C2780221984 @default.
• W3159432323 hasConceptScore W3159432323C2780578515 @default.
• W3159432323 hasConceptScore W3159432323C2908647359 @default.
• W3159432323 hasConceptScore W3159432323C511355011 @default.
• W3159432323 hasConceptScore W3159432323C555293320 @default.
• W3159432323 hasConceptScore W3159432323C71924100 @default.
• W3159432323 hasConceptScore W3159432323C72563966 @default.
• W3159432323 hasConceptScore W3159432323C99454951 @default.

• next