Total and Structural Carotid Artery Stiffness Are Associated With Cognitive Decline and Structural Brain Abnormalities Related to Alzheimer Disease and Alzheimer Disease‐Related Dementias Pathology: The Multi‐Ethnic Study of Atherosclerosis
Arterial stiffness is associated with pathological changes underlying Alzheimer disease and related dementias. Total pulse wave velocity can be subdivided into 2 main mechanisms: structural arterial stiffness (S-PWV) due to intrinsic remodeling of the artery wall and load-dependent arterial stiffnes...
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Published in | Journal of the American Heart Association Vol. 14; no. 9; p. e039925 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley and Sons Inc
06.05.2025
Wiley |
Subjects | |
Online Access | Get full text |
ISSN | 2047-9980 2047-9980 |
DOI | 10.1161/JAHA.124.039925 |
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Abstract | Arterial stiffness is associated with pathological changes underlying Alzheimer disease and related dementias. Total pulse wave velocity can be subdivided into 2 main mechanisms: structural arterial stiffness (S-PWV) due to intrinsic remodeling of the artery wall and load-dependent arterial stiffness due to increased blood pressure.
In this prospective cohort study, MESA (Multi-Ethnic Study of Atherosclerosis) participants completed B-mode carotid ultrasounds from which carotid total pulse wave velocity was calculated. S-PWV was calculated by adjusting pulse wave velocity to 120/80 mmHg using a nonlinear pressure-diameter relationship, and load-dependent arterial stiffness was derived by subtracting S-PWV from total pulse wave velocity. Participants had repeated cognitive assessments with the Cognitive Abilities Screening Instrument, Digit Symbol Coding, and Digit Span combined into a global cognitive composite (N=2489). Brain magnetic resonance imaging was used to generate total gray matter volume (N=906), white matter hyperintensity volume (N=896), and total white matter fractional anisotropy (N=810). Multivariable linear fixed and mixed effects regression models related standardized pulse wave velocity components to neuroimaging and cognitive decline parameters, respectively. Greater S-PWV was associated with greater longitudinal cognitive decline in global cognitive composite score (β=-0.05,
=0.002) and subtests, whereas greater load-dependent arterial stiffness was not associated with longitudinal cognitive decline. Greater S-PWV was associated with lower gray matter volume (β=-3183.4,
=0.013) and higher log white matter hyperintensity volume (β=0.20,
<0.001), whereas load-dependent arterial stiffness was associated with lower total white matter fractional anisotropy (β=-0.004,
≤0.001).
Higher structural stiffness of the carotid artery is associated with cognitive decline, whereas both structural and load-dependent stiffness are associated with brain structural abnormalities common in Alzheimer disease-related dementias. |
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AbstractList | Background Arterial stiffness is associated with pathological changes underlying Alzheimer disease and related dementias. Total pulse wave velocity can be subdivided into 2 main mechanisms: structural arterial stiffness (S‐PWV) due to intrinsic remodeling of the artery wall and load‐dependent arterial stiffness due to increased blood pressure. Methods and Results In this prospective cohort study, MESA (Multi‐Ethnic Study of Atherosclerosis) participants completed B‐mode carotid ultrasounds from which carotid total pulse wave velocity was calculated. S‐PWV was calculated by adjusting pulse wave velocity to 120/80 mmHg using a nonlinear pressure‐diameter relationship, and load‐dependent arterial stiffness was derived by subtracting S‐PWV from total pulse wave velocity. Participants had repeated cognitive assessments with the Cognitive Abilities Screening Instrument, Digit Symbol Coding, and Digit Span combined into a global cognitive composite (N=2489). Brain magnetic resonance imaging was used to generate total gray matter volume (N=906), white matter hyperintensity volume (N=896), and total white matter fractional anisotropy (N=810). Multivariable linear fixed and mixed effects regression models related standardized pulse wave velocity components to neuroimaging and cognitive decline parameters, respectively. Greater S‐PWV was associated with greater longitudinal cognitive decline in global cognitive composite score (β=–0.05, P=0.002) and subtests, whereas greater load‐dependent arterial stiffness was not associated with longitudinal cognitive decline. Greater S‐PWV was associated with lower gray matter volume (β=–3183.4, P=0.013) and higher log white matter hyperintensity volume (β=0.20, P<0.001), whereas load‐dependent arterial stiffness was associated with lower total white matter fractional anisotropy (β=–0.004, P≤0.001). Conclusions Higher structural stiffness of the carotid artery is associated with cognitive decline, whereas both structural and load‐dependent stiffness are associated with brain structural abnormalities common in Alzheimer disease‐related dementias. Arterial stiffness is associated with pathological changes underlying Alzheimer disease and related dementias. Total pulse wave velocity can be subdivided into 2 main mechanisms: structural arterial stiffness (S-PWV) due to intrinsic remodeling of the artery wall and load-dependent arterial stiffness due to increased blood pressure. In this prospective cohort study, MESA (Multi-Ethnic Study of Atherosclerosis) participants completed B-mode carotid ultrasounds from which carotid total pulse wave velocity was calculated. S-PWV was calculated by adjusting pulse wave velocity to 120/80 mmHg using a nonlinear pressure-diameter relationship, and load-dependent arterial stiffness was derived by subtracting S-PWV from total pulse wave velocity. Participants had repeated cognitive assessments with the Cognitive Abilities Screening Instrument, Digit Symbol Coding, and Digit Span combined into a global cognitive composite (N=2489). Brain magnetic resonance imaging was used to generate total gray matter volume (N=906), white matter hyperintensity volume (N=896), and total white matter fractional anisotropy (N=810). Multivariable linear fixed and mixed effects regression models related standardized pulse wave velocity components to neuroimaging and cognitive decline parameters, respectively. Greater S-PWV was associated with greater longitudinal cognitive decline in global cognitive composite score (β=-0.05, =0.002) and subtests, whereas greater load-dependent arterial stiffness was not associated with longitudinal cognitive decline. Greater S-PWV was associated with lower gray matter volume (β=-3183.4, =0.013) and higher log white matter hyperintensity volume (β=0.20, <0.001), whereas load-dependent arterial stiffness was associated with lower total white matter fractional anisotropy (β=-0.004, ≤0.001). Higher structural stiffness of the carotid artery is associated with cognitive decline, whereas both structural and load-dependent stiffness are associated with brain structural abnormalities common in Alzheimer disease-related dementias. Arterial stiffness is associated with pathological changes underlying Alzheimer disease and related dementias. Total pulse wave velocity can be subdivided into 2 main mechanisms: structural arterial stiffness (S-PWV) due to intrinsic remodeling of the artery wall and load-dependent arterial stiffness due to increased blood pressure.BACKGROUNDArterial stiffness is associated with pathological changes underlying Alzheimer disease and related dementias. Total pulse wave velocity can be subdivided into 2 main mechanisms: structural arterial stiffness (S-PWV) due to intrinsic remodeling of the artery wall and load-dependent arterial stiffness due to increased blood pressure.In this prospective cohort study, MESA (Multi-Ethnic Study of Atherosclerosis) participants completed B-mode carotid ultrasounds from which carotid total pulse wave velocity was calculated. S-PWV was calculated by adjusting pulse wave velocity to 120/80 mmHg using a nonlinear pressure-diameter relationship, and load-dependent arterial stiffness was derived by subtracting S-PWV from total pulse wave velocity. Participants had repeated cognitive assessments with the Cognitive Abilities Screening Instrument, Digit Symbol Coding, and Digit Span combined into a global cognitive composite (N=2489). Brain magnetic resonance imaging was used to generate total gray matter volume (N=906), white matter hyperintensity volume (N=896), and total white matter fractional anisotropy (N=810). Multivariable linear fixed and mixed effects regression models related standardized pulse wave velocity components to neuroimaging and cognitive decline parameters, respectively. Greater S-PWV was associated with greater longitudinal cognitive decline in global cognitive composite score (β=-0.05, P=0.002) and subtests, whereas greater load-dependent arterial stiffness was not associated with longitudinal cognitive decline. Greater S-PWV was associated with lower gray matter volume (β=-3183.4, P=0.013) and higher log white matter hyperintensity volume (β=0.20, P<0.001), whereas load-dependent arterial stiffness was associated with lower total white matter fractional anisotropy (β=-0.004, P≤0.001).METHODS AND RESULTSIn this prospective cohort study, MESA (Multi-Ethnic Study of Atherosclerosis) participants completed B-mode carotid ultrasounds from which carotid total pulse wave velocity was calculated. S-PWV was calculated by adjusting pulse wave velocity to 120/80 mmHg using a nonlinear pressure-diameter relationship, and load-dependent arterial stiffness was derived by subtracting S-PWV from total pulse wave velocity. Participants had repeated cognitive assessments with the Cognitive Abilities Screening Instrument, Digit Symbol Coding, and Digit Span combined into a global cognitive composite (N=2489). Brain magnetic resonance imaging was used to generate total gray matter volume (N=906), white matter hyperintensity volume (N=896), and total white matter fractional anisotropy (N=810). Multivariable linear fixed and mixed effects regression models related standardized pulse wave velocity components to neuroimaging and cognitive decline parameters, respectively. Greater S-PWV was associated with greater longitudinal cognitive decline in global cognitive composite score (β=-0.05, P=0.002) and subtests, whereas greater load-dependent arterial stiffness was not associated with longitudinal cognitive decline. Greater S-PWV was associated with lower gray matter volume (β=-3183.4, P=0.013) and higher log white matter hyperintensity volume (β=0.20, P<0.001), whereas load-dependent arterial stiffness was associated with lower total white matter fractional anisotropy (β=-0.004, P≤0.001).Higher structural stiffness of the carotid artery is associated with cognitive decline, whereas both structural and load-dependent stiffness are associated with brain structural abnormalities common in Alzheimer disease-related dementias.CONCLUSIONSHigher structural stiffness of the carotid artery is associated with cognitive decline, whereas both structural and load-dependent stiffness are associated with brain structural abnormalities common in Alzheimer disease-related dementias. |
Author | Gepner, Adam D. Luchsinger, José A. Nasrallah, Ilya Korcarz, Claudia Ding, Jingzhong Hayden, Kathleen M. DeConne, Theodore M. Heckbert, Susan R. Carlsson, Cynthia Habes, Mohamad Tanley, Jordan Lockhart, Samuel N. Pewowaruk, Ryan Hughes, Timothy M. Williams, Jeremy R. |
AuthorAffiliation | 5 Department of Epidemiology University of Washington–School of Public Health Seattle WA USA 9 Department of Medicine and Epidemiology Columbia University Irving Medical Center New York NY USA 7 Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA 2 William S. Middleton Memorial Veterans Hospital Madison WI USA 3 Department of Internal Medicine, Section on Gerontology and Geriatric Medicine Wake Forest School of Medicine Winton‐Salem NC USA 4 Ryan Pewowaruk Research Consulting Madison WI USA 10 Department of Social Sciences and Health Policy, Division of Public Health Sciences Wake Forest School of Medicine Winston‐Salem NC USA 1 Department of Cardiovascular Medicine University of Wisconsin–School of Medicine and Public Health Madison WI USA 8 Department of Radiology University of Pennsylvania Philadelphia PA USA 6 Neuroimage Analytics Laborator |
AuthorAffiliation_xml | – name: 9 Department of Medicine and Epidemiology Columbia University Irving Medical Center New York NY USA – name: 10 Department of Social Sciences and Health Policy, Division of Public Health Sciences Wake Forest School of Medicine Winston‐Salem NC USA – name: 8 Department of Radiology University of Pennsylvania Philadelphia PA USA – name: 2 William S. Middleton Memorial Veterans Hospital Madison WI USA – name: 4 Ryan Pewowaruk Research Consulting Madison WI USA – name: 1 Department of Cardiovascular Medicine University of Wisconsin–School of Medicine and Public Health Madison WI USA – name: 6 Neuroimage Analytics Laboratory, and Biggs Institute Neuroimaging Core Biggs Alzheimer’s Institute, University of Texas San Antonio Health Science Center San Antonio TX USA – name: 7 Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania Philadelphia PA USA – name: 3 Department of Internal Medicine, Section on Gerontology and Geriatric Medicine Wake Forest School of Medicine Winton‐Salem NC USA – name: 5 Department of Epidemiology University of Washington–School of Public Health Seattle WA USA |
Author_xml | – sequence: 1 givenname: Jeremy R. orcidid: 0000-0002-8346-9490 surname: Williams fullname: Williams, Jeremy R. – sequence: 2 givenname: Theodore M. orcidid: 0000-0002-9704-6499 surname: DeConne fullname: DeConne, Theodore M. – sequence: 3 givenname: Ryan orcidid: 0000-0003-1190-7196 surname: Pewowaruk fullname: Pewowaruk, Ryan – sequence: 4 givenname: Claudia orcidid: 0000-0001-9691-9027 surname: Korcarz fullname: Korcarz, Claudia – sequence: 5 givenname: Jordan surname: Tanley fullname: Tanley, Jordan – sequence: 6 givenname: Cynthia orcidid: 0000-0001-5743-1563 surname: Carlsson fullname: Carlsson, Cynthia – sequence: 7 givenname: Susan R. orcidid: 0000-0002-7100-512X surname: Heckbert fullname: Heckbert, Susan R. – sequence: 8 givenname: Mohamad orcidid: 0000-0001-9447-5805 surname: Habes fullname: Habes, Mohamad – sequence: 9 givenname: Ilya orcidid: 0000-0003-2346-7562 surname: Nasrallah fullname: Nasrallah, Ilya – sequence: 10 givenname: Samuel N. orcidid: 0000-0002-0893-5420 surname: Lockhart fullname: Lockhart, Samuel N. – sequence: 11 givenname: José A. orcidid: 0000-0002-5886-3648 surname: Luchsinger fullname: Luchsinger, José A. – sequence: 12 givenname: Jingzhong surname: Ding fullname: Ding, Jingzhong – sequence: 13 givenname: Kathleen M. orcidid: 0000-0002-7745-3513 surname: Hayden fullname: Hayden, Kathleen M. – sequence: 14 givenname: Timothy M. orcidid: 0000-0002-2919-7199 surname: Hughes fullname: Hughes, Timothy M. – sequence: 15 givenname: Adam D. orcidid: 0000-0002-5869-2850 surname: Gepner fullname: Gepner, Adam D. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40314392$$D View this record in MEDLINE/PubMed |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 This article was sent to Jose Rafael Romero, MD, Associate Editor, for review by expert referees, editorial decision, and final disposition. For Sources of Funding and Disclosures, see page 9. Supplemental Material is available at https://www.ahajournals.org/doi/suppl/10.1161/JAHA.124.039925 |
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Title | Total and Structural Carotid Artery Stiffness Are Associated With Cognitive Decline and Structural Brain Abnormalities Related to Alzheimer Disease and Alzheimer Disease‐Related Dementias Pathology: The Multi‐Ethnic Study of Atherosclerosis |
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