Vascular Aging Markers and Blood Biomarkers of Neurodegeneration

Abstract Background Age‐related changes in the systemic and cerebral vasculature adversely affect brain health and may contribute to neurodegeneration. However, the relationship between markers of systemic (arterial stiffness) and cerebral (flow pulsatility) vascular aging with neurodegeneration remains unclear. This study aimed to evaluate the associations of arterial stiffness and flow pulsatiility with blood biomarkers of neurodegeneration. Method A subset of 80 participants (Mage = 81+7, 63% female, 78% Latinx) from the Northern Manhattan Study completed carotid ultrasound, transcranial doppler (TCD) ultrasonography, and blood sampling. Arterial stiffness was used as a proxy for systemic vascular aging and measured using pulse wave velocity (PWV) obtained from the Vicorder device or carotid doppler. Middle cerebral artery pulsatility index (MCA PI) was used as a proxy for cerebral vascular aging and measured bilaterally using TCD. Blood biomarkers were derived using Simoa Neurology 4‐Plex E kit for: Aβ40, Aβ42, Ptau181, GFAP, and NfL. The ratio of Aβ42 to Aβ40 (Aβ42/Aβ40) was also calculated and included as an outcome measure. We examined the associations of aortic stiffness, common carotid stiffness, internal carotid stiffness, and MCA PI with each blood biomarker, with and without adjustment for age and sex. Result MCA PI was associated with increased concentration of Aβ40 (βstandardized = .26, p = .03), p‐tau181 (βstandardized = .31, p = .01), GFAP (βstandardized = .36, p = .002), and NfL (βstandardized = .33, p = .01) but not with Aβ42 (βstandardized = .18, p = .13) or Aβ42/Aβ40 ratio (βstandardized = ‐.05, p = .54). In adjusted models, only the association between MCA PI and ptau181 remained significant (βstandardized = .31, p = .03). There was no association between arterial stiffness measures and blood biomarkers. Conclusion Elevated pulsatility in the middle cerebral arteries was associated with increased concentration of blood biomarkers of neurodegeneration; however, associations were attenuated for all blood biomarkers except for p‐tau181 after adjusting for age and sex. These preliminary findings suggest surrogate markers of cerebral vascular aging may be more robust predictors of neurodegeneration. While statistical power was limited by small sample size, future research examining these relationships in larger samples is warranted.

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Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.095771
Primary Topic
GDF15 and Related Biomarkers
Type
article
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article

Vascular Aging Markers and Blood Biomarkers of Neurodegeneration

Mitchell S.V. Elkind, Antonio J Spagnolo Allende, Tatjana Rundek, José Gutierrez et al.
Alzheimer s & Dementia
GDF15 and Related Biomarkers
article

Vascular Aging Markers and Blood Biomarkers of Neurodegeneration

Mitchell S.V. Elkind, Antonio J Spagnolo Allende, Tatjana Rundek, José Gutierrez, Jennifer J. Manly, Salwa Rahman, Stephanie Cosentino, Randolph S. Marshall, Vanessa A. Guzman, Maliyah Panton
article en

Abstract

Abstract Background Age‐related changes in the systemic and cerebral vasculature adversely affect brain health and may contribute to neurodegeneration. However, the relationship between markers of systemic (arterial stiffness) and cerebral (flow pulsatility) vascular aging with neurodegeneration remains unclear. This study aimed to evaluate the associations of arterial stiffness and flow pulsatiility with blood biomarkers of neurodegeneration. Method A subset of 80 participants (Mage = 81+7, 63% female, 78% Latinx) from the Northern Manhattan Study completed carotid ultrasound, transcranial doppler (TCD) ultrasonography, and blood sampling. Arterial stiffness was used as a proxy for systemic vascular aging and measured using pulse wave velocity (PWV) obtained from the Vicorder device or carotid doppler. Middle cerebral artery pulsatility index (MCA PI) was used as a proxy for cerebral vascular aging and measured bilaterally using TCD. Blood biomarkers were derived using Simoa Neurology 4‐Plex E kit for: Aβ40, Aβ42, Ptau181, GFAP, and NfL. The ratio of Aβ42 to Aβ40 (Aβ42/Aβ40) was also calculated and included as an outcome measure. We examined the associations of aortic stiffness, common carotid stiffness, internal carotid stiffness, and MCA PI with each blood biomarker, with and without adjustment for age and sex. Result MCA PI was associated with increased concentration of Aβ40 (βstandardized = .26, p = .03), p‐tau181 (βstandardized = .31, p = .01), GFAP (βstandardized = .36, p = .002), and NfL (βstandardized = .33, p = .01) but not with Aβ42 (βstandardized = .18, p = .13) or Aβ42/Aβ40 ratio (βstandardized = ‐.05, p = .54). In adjusted models, only the association between MCA PI and ptau181 remained significant (βstandardized = .31, p = .03). There was no association between arterial stiffness measures and blood biomarkers. Conclusion Elevated pulsatility in the middle cerebral arteries was associated with increased concentration of blood biomarkers of neurodegeneration; however, associations were attenuated for all blood biomarkers except for p‐tau181 after adjusting for age and sex. These preliminary findings suggest surrogate markers of cerebral vascular aging may be more robust predictors of neurodegeneration. While statistical power was limited by small sample size, future research examining these relationships in larger samples is warranted.

Alzheimer s & DementiaVol. 20(S8)
American Heart Association (US), Albert Einstein College of Medicine (US), University of Miami (US), Columbia University Irving Medical Center (US), Columbia University (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 57%
GDF15 and Related Biomarkers
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