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Aging drives cerebrovascular network remodeling and functional changes in the mouse brain

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Listed:
  • Hannah C. Bennett

    (The Pennsylvania State University)

  • Qingguang Zhang

    (The Pennsylvania State University
    Michigan State University)

  • Yuan-ting Wu

    (The Pennsylvania State University
    Cedars-Sinai Medical Center)

  • Steffy B. Manjila

    (The Pennsylvania State University)

  • Uree Chon

    (The Pennsylvania State University
    Neurosciences Graduate Program, Stanford University)

  • Donghui Shin

    (The Pennsylvania State University)

  • Daniel J. Vanselow

    (The Pennsylvania State University)

  • Hyun-Jae Pi

    (The Pennsylvania State University)

  • Patrick J. Drew

    (The Pennsylvania State University
    The Pennsylvania State University)

  • Yongsoo Kim

    (The Pennsylvania State University
    The Pennsylvania State University)

Abstract

Aging is frequently associated with compromised cerebrovasculature and pericytes. However, we do not know how normal aging differentially impacts vascular structure and function in different brain areas. Here we utilize mesoscale microscopy methods and in vivo imaging to determine detailed changes in aged murine cerebrovascular networks. Whole-brain vascular tracing shows an overall ~10% decrease in vascular length and branching density with ~7% increase in vascular radii in aged brains. Light sheet imaging with 3D immunolabeling reveals increased arteriole tortuosity of aged brains. Notably, vasculature and pericyte densities show selective and significant reductions in the deep cortical layers, hippocampal network, and basal forebrain areas. We find increased blood extravasation, implying compromised blood-brain barrier function in aged brains. Moreover, in vivo imaging in awake mice demonstrates reduced baseline and on-demand blood oxygenation despite relatively intact neurovascular coupling. Collectively, we uncover regional vulnerabilities of cerebrovascular network and physiological changes that can mediate cognitive decline in normal aging.

Suggested Citation

  • Hannah C. Bennett & Qingguang Zhang & Yuan-ting Wu & Steffy B. Manjila & Uree Chon & Donghui Shin & Daniel J. Vanselow & Hyun-Jae Pi & Patrick J. Drew & Yongsoo Kim, 2024. "Aging drives cerebrovascular network remodeling and functional changes in the mouse brain," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50559-8
    DOI: 10.1038/s41467-024-50559-8
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    References listed on IDEAS

    as
    1. Qingguang Zhang & Morgane Roche & Kyle W. Gheres & Emmanuelle Chaigneau & Ravi T. Kedarasetti & William D. Haselden & Serge Charpak & Patrick J. Drew, 2019. "Cerebral oxygenation during locomotion is modulated by respiration," Nature Communications, Nature, vol. 10(1), pages 1-15, December.
    2. Yevgeniy B. Sirotin & Aniruddha Das, 2009. "Anticipatory haemodynamic signals in sensory cortex not predicted by local neuronal activity," Nature, Nature, vol. 457(7228), pages 475-479, January.
    3. Antoine Bergel & Elodie Tiran & Thomas Deffieux & Charlie Demené & Mickaël Tanter & Ivan Cohen, 2020. "Adaptive modulation of brain hemodynamics across stereotyped running episodes," Nature Communications, Nature, vol. 11(1), pages 1-19, December.
    4. Antoine Bergel & Elodie Tiran & Thomas Deffieux & Charlie Demené & Mickaël Tanter & Ivan Cohen, 2020. "Publisher Correction: Adaptive modulation of brain hemodynamics across stereotyped running episodes," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
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