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author Frenzel, Stefan
Bis, Joshua C.
Gudmundsson, Elias F.
O’Donnell, Adrienne
Simino, Jeannette
Yaqub, Amber
Bartz, Traci M.
Brusselle, Guy G. O.
Bülow, Robin
DeCarli, Charles S.
Ewert, Ralf
Gharib, Sina A.
Ghosh, Saptaparni
Gireud-Goss, Monica
Gottesman, Rebecca F.
Ikram, M. Arfan
Knopman, David S.
Launer, Lenore J.
London, Stephanie J.
Longstreth, W.T.
Lopez, Oscar L.
Melo van Lent, Debora
O’Connor, George
Satizabal, Claudia L.
Shrestha, Srishti
Sigurdsson, Sigurdur
Stubbe, Beate
Talluri, Rajesh
Vasan, Ramachandran S.
Vernooij, Meike W.
Völzke, Henry
Wiggins, Kerri L.
Yu, Bing
Beiser, Alexa S.
Gudnason, Vilmundur
Mosley, Thomas
Psaty, Bruce M.
Wolters, Frank J.
Grabe, Hans J.
Seshadri, Sudha
author_facet Frenzel, Stefan
Bis, Joshua C.
Gudmundsson, Elias F.
O’Donnell, Adrienne
Simino, Jeannette
Yaqub, Amber
Bartz, Traci M.
Brusselle, Guy G. O.
Bülow, Robin
DeCarli, Charles S.
Ewert, Ralf
Gharib, Sina A.
Ghosh, Saptaparni
Gireud-Goss, Monica
Gottesman, Rebecca F.
Ikram, M. Arfan
Knopman, David S.
Launer, Lenore J.
London, Stephanie J.
Longstreth, W.T.
Lopez, Oscar L.
Melo van Lent, Debora
O’Connor, George
Satizabal, Claudia L.
Shrestha, Srishti
Sigurdsson, Sigurdur
Stubbe, Beate
Talluri, Rajesh
Vasan, Ramachandran S.
Vernooij, Meike W.
Völzke, Henry
Wiggins, Kerri L.
Yu, Bing
Beiser, Alexa S.
Gudnason, Vilmundur
Mosley, Thomas
Psaty, Bruce M.
Wolters, Frank J.
Grabe, Hans J.
Seshadri, Sudha
author_sort Frenzel, Stefan
collection PubMed
description BACKGROUND: Previous studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent. OBJECTIVE: To study the cross-sectional associations of pulmonary function with structural brain variables. METHODS: Data from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses. RESULTS: FEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume. CONCLUSION: In cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden.
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spelling pubmed-97122272022-12-01 Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis Frenzel, Stefan Bis, Joshua C. Gudmundsson, Elias F. O’Donnell, Adrienne Simino, Jeannette Yaqub, Amber Bartz, Traci M. Brusselle, Guy G. O. Bülow, Robin DeCarli, Charles S. Ewert, Ralf Gharib, Sina A. Ghosh, Saptaparni Gireud-Goss, Monica Gottesman, Rebecca F. Ikram, M. Arfan Knopman, David S. Launer, Lenore J. London, Stephanie J. Longstreth, W.T. Lopez, Oscar L. Melo van Lent, Debora O’Connor, George Satizabal, Claudia L. Shrestha, Srishti Sigurdsson, Sigurdur Stubbe, Beate Talluri, Rajesh Vasan, Ramachandran S. Vernooij, Meike W. Völzke, Henry Wiggins, Kerri L. Yu, Bing Beiser, Alexa S. Gudnason, Vilmundur Mosley, Thomas Psaty, Bruce M. Wolters, Frank J. Grabe, Hans J. Seshadri, Sudha J Alzheimers Dis Research Article BACKGROUND: Previous studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent. OBJECTIVE: To study the cross-sectional associations of pulmonary function with structural brain variables. METHODS: Data from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses. RESULTS: FEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume. CONCLUSION: In cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden. IOS Press 2022-11-22 /pmc/articles/PMC9712227/ /pubmed/36213999 http://dx.doi.org/10.3233/JAD-220667 Text en © 2022 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Frenzel, Stefan
Bis, Joshua C.
Gudmundsson, Elias F.
O’Donnell, Adrienne
Simino, Jeannette
Yaqub, Amber
Bartz, Traci M.
Brusselle, Guy G. O.
Bülow, Robin
DeCarli, Charles S.
Ewert, Ralf
Gharib, Sina A.
Ghosh, Saptaparni
Gireud-Goss, Monica
Gottesman, Rebecca F.
Ikram, M. Arfan
Knopman, David S.
Launer, Lenore J.
London, Stephanie J.
Longstreth, W.T.
Lopez, Oscar L.
Melo van Lent, Debora
O’Connor, George
Satizabal, Claudia L.
Shrestha, Srishti
Sigurdsson, Sigurdur
Stubbe, Beate
Talluri, Rajesh
Vasan, Ramachandran S.
Vernooij, Meike W.
Völzke, Henry
Wiggins, Kerri L.
Yu, Bing
Beiser, Alexa S.
Gudnason, Vilmundur
Mosley, Thomas
Psaty, Bruce M.
Wolters, Frank J.
Grabe, Hans J.
Seshadri, Sudha
Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis
title Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis
title_full Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis
title_fullStr Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis
title_full_unstemmed Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis
title_short Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis
title_sort associations of pulmonary function with mri brain volumes: a coordinated multi-study analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712227/
https://www.ncbi.nlm.nih.gov/pubmed/36213999
http://dx.doi.org/10.3233/JAD-220667
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