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Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment
Background: Specification of adipose tissues by whole-body magnetic resonance imaging (MRI) was performed and related to pulmonary function parameters in a population-based cohort. Methods: 203 study participants underwent whole-body MRI and pulmonary function tests as part of the KORA (Cooperative...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938839/ https://www.ncbi.nlm.nih.gov/pubmed/35314623 http://dx.doi.org/10.3390/tomography8020046 |
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author | von Krüchten, Ricarda Rospleszcz, Susanne Lorbeer, Roberto Hasic, Dunja Peters, Annette Bamberg, Fabian Schulz, Holger Karrasch, Stefan Schlett, Christopher L. |
author_facet | von Krüchten, Ricarda Rospleszcz, Susanne Lorbeer, Roberto Hasic, Dunja Peters, Annette Bamberg, Fabian Schulz, Holger Karrasch, Stefan Schlett, Christopher L. |
author_sort | von Krüchten, Ricarda |
collection | PubMed |
description | Background: Specification of adipose tissues by whole-body magnetic resonance imaging (MRI) was performed and related to pulmonary function parameters in a population-based cohort. Methods: 203 study participants underwent whole-body MRI and pulmonary function tests as part of the KORA (Cooperative Health Research in the Augsburg Region) MRI study. Both visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were derived from the T1-Dixon sequence, and hepatic adipose tissue from the proton density fat fraction (PDFF(hepatic)). Associations between adipose tissue parameters and spirometric indices such as forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and Tiffeneau-index (FEV1/FVC) were examined using multivariate linear regression analysis excluding cofounding effects of other clinical parameters. Results: VAT (β = −0.13, p = 0.03) and SAT (β = −0.26, p < 0.001), but not PDFF(hepatic) were inversely associated with FEV1, while VAT (β = −0.27, p < 0.001), SAT (β = −0.41, p < 0.001), and PDFF(hepatic) (β = −0.17, p = 0.002) were inversely associated with FVC. PDFF(hepatic) was directly associated with the Tiffeneau index (β = 2.46, p < 0.001). Conclusions: In the adjusted linear regression model, VAT was inversely associated with all measured spirometric parameters, while PDFF(hepatic) revealed the strongest association with the Tiffeneau index. Non-invasive adipose tissue quantification measurements might serve as novel biomarkers for respiratory impairment. |
format | Online Article Text |
id | pubmed-8938839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89388392022-03-23 Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment von Krüchten, Ricarda Rospleszcz, Susanne Lorbeer, Roberto Hasic, Dunja Peters, Annette Bamberg, Fabian Schulz, Holger Karrasch, Stefan Schlett, Christopher L. Tomography Article Background: Specification of adipose tissues by whole-body magnetic resonance imaging (MRI) was performed and related to pulmonary function parameters in a population-based cohort. Methods: 203 study participants underwent whole-body MRI and pulmonary function tests as part of the KORA (Cooperative Health Research in the Augsburg Region) MRI study. Both visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were derived from the T1-Dixon sequence, and hepatic adipose tissue from the proton density fat fraction (PDFF(hepatic)). Associations between adipose tissue parameters and spirometric indices such as forced vital capacity (FVC), forced expiratory volume in 1 s (FEV1) and Tiffeneau-index (FEV1/FVC) were examined using multivariate linear regression analysis excluding cofounding effects of other clinical parameters. Results: VAT (β = −0.13, p = 0.03) and SAT (β = −0.26, p < 0.001), but not PDFF(hepatic) were inversely associated with FEV1, while VAT (β = −0.27, p < 0.001), SAT (β = −0.41, p < 0.001), and PDFF(hepatic) (β = −0.17, p = 0.002) were inversely associated with FVC. PDFF(hepatic) was directly associated with the Tiffeneau index (β = 2.46, p < 0.001). Conclusions: In the adjusted linear regression model, VAT was inversely associated with all measured spirometric parameters, while PDFF(hepatic) revealed the strongest association with the Tiffeneau index. Non-invasive adipose tissue quantification measurements might serve as novel biomarkers for respiratory impairment. MDPI 2022-02-27 /pmc/articles/PMC8938839/ /pubmed/35314623 http://dx.doi.org/10.3390/tomography8020046 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article von Krüchten, Ricarda Rospleszcz, Susanne Lorbeer, Roberto Hasic, Dunja Peters, Annette Bamberg, Fabian Schulz, Holger Karrasch, Stefan Schlett, Christopher L. Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment |
title | Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment |
title_full | Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment |
title_fullStr | Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment |
title_full_unstemmed | Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment |
title_short | Whole-Body MRI-Derived Adipose Tissue Characterization and Relationship to Pulmonary Function Impairment |
title_sort | whole-body mri-derived adipose tissue characterization and relationship to pulmonary function impairment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938839/ https://www.ncbi.nlm.nih.gov/pubmed/35314623 http://dx.doi.org/10.3390/tomography8020046 |
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