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EDITORIAL article

Front. Aging, 05 March 2024
Sec. Aging, Metabolism and Redox Biology
This article is part of the Research Topic Effects of Vascular Function and Aging on Brain Circulation and Neurodegeneration View all 6 articles

Editorial: Effects of vascular function and aging on brain circulation and neurodegeneration

Benjamin Petersen,Benjamin Petersen1,2Sharon Negri,Sharon Negri1,2Madison Milan,Madison Milan1,2Helen Shi,Helen Shi1,2Zeke Reyff,Zeke Reyff1,2Cade Ballard,Cade Ballard1,2Jennifer Ihuoma,Jennifer Ihuoma1,2Andrea Di FrancescoAndrea Di Francesco3Stefano Tarantini,,,,
Stefano Tarantini1,2,4,5,6*
  • 1Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
  • 2Vascular Cognitive Impairment and Neurodegeneration Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
  • 3Calico Life Sciences LLC, South San Francisco, CA, United States
  • 4Peggy and Charles Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
  • 5Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
  • 6International Training Program in Geroscience, Doctoral School of Basic and Translational Medicine/Department of Public Health, Semmelweis University, Budapest, Hungary

The aging process prompts morphological, structural, and functional changes in the vasculature of our bodies (Weijs et al., 2023). These alterations occur in both health and disease and serve as mechanistic foundations for many cardiovascular and cerebrovascular diseases that are prevalent in the aging population (Vestergaard et al., 2022; Lu et al., 2023). Cardiovascular and cerebrovascular diseases are the most common cause of death among older people in the United States (Jaul and Barron, 2017), accounting for nearly 1/3rd of all deaths in the United States by the age of 65, and approximately 2/3rd of all deaths by the age of 85. With the percentage of the population over the age of 65 set to increase from 12% to 22% in the next 30 years (Ferruc et al., 2008), understanding and treating age-related vascular disease is paramount (Bloom et al., 2022).

Aging in the brain is characterized by a vast array of functional and structural alterations of the microcirculation (Schulz et al., 2022; Negri et al., 2023), contributing to the pathogenesis of age-related diseases including vascular cognitive impairment, Alzheimer’s disease, and mild cognitive impairment (Williamson et al., 2024). Growing interest and understanding of the role of the aging vasculature in the context of the age-related loss of cognitive function (Gorelick et al., 2011) has prompted many investigative efforts to better understand the macro and microvascular mechanisms underlying the development of dementia (Yabluchanskiy et al., 2021).

The collection of papers published in the Research Topic: Effects of vascular function and aging on brain circulation and neurodegeneration underlines the growing interest and understanding of the role of the aging vasculature, in the context of age-related neurodegeneration. The goal of this Research Topic is to gather and summarize the evidence that relates to the mechanisms underlying the neurodegenerative disease of aging.

In an original article, Zhang et al. retrospectively analyzed the neurological outcomes of 408 patients with acute anterior circulation strokes treated with mechanical thrombectomy who were concomitantly in hyperglycemic states. The study stratified the patients into four quartiles based on the stress hyperglycemia ratio (SHR), defined as the fasting plasma glucose (mmol/L) divided by glycosylated hemoglobin (%). Interquartile comparison of functional neurologic outcomes, determined by the modified Rankin Scale, was performed at the 3-month follow-up. The findings of the study suggest that stress hyperglycemia, as indicated by higher SHR, is independently associated with increased risks of 3-month all-cause mortality and intracerebral hemorrhage, as well as lower rates of major neurological improvement following an anterior circulation stroke treated with mechanical thrombectomy. Importantly, these associations were observed irrespective of the diabetic status of the patient. The study suggests that the SHR can be a useful quantitative indicator of adverse outcomes and functional neurologic recovery in patients undergoing mechanical thrombectomy for acute anterior circulation stroke. Ultimately, this paper establishes an important framework in which future investigations can seek to determine ideal glucose control targets in the setting of an acute ischemic stroke treated with mechanical thrombectomy.

The association between the hemoglobin to red cell distribution width ratio (HRR) and clinical outcomes in acute ischemic stroke (AIS) patients undergoing mechanical thrombectomy (MT) was explored by Feng et al. in an original article. Researchers measured HRR at the time of admission and 24 h post mechanical thrombectomy. The study, consisting of 310 patients in total, revealed that those who died or had a poor prognosis following the stroke had significantly lower HRR levels at both time points. While HRR at admission was not linked to outcomes, HRR after 24 h was independently associated with poor prognosis and death. The study suggests that HRR, a rapidly measurable marker, could serve as an independent prognostic indicator for AIS patients undergoing mechanical thrombectomy, ultimately providing a valuable clinical tool.

Wang et al. reviewed the existing literature on the underlying mechanisms of myogenic, metabolic, and endothelial factors that contribute to cerebral blood flow autoregulation and the potential impact of impaired cerebral blood flow autoregulation on cognitive impairment. The review challenges the traditional understanding of Alzheimer’s Disease (AD) as a neurodegenerative disease solely related to beta-amyloid and tau proteins, as current treatments targeting these factors have been inadequate. The role of cerebrovascular dysfunction in AD development is explored, citing multiple studies demonstrating vascular dysfunction preceding Aβ accumulation and cognitive impairment. Additionally, the paper presents a new hypothesis of a three-line myogenic response defense mechanism for cerebral blood flow dysregulation. Wang et al. hypothesize that the loss of cerebral blood flow autoregulation may limit blood flow to ischemic regions, or conversely, increase blood flow and pressure to the vasculature of the brain, leading to decreased capillary and blood-brain barrier integrity and exacerbating cognitive impairment.

In a systematic review, Zhang et al. evaluated the association between intracranial and extracranial atherosclerotic stenosis and white matter hyperintensities, which are key neuroimaging manifestations of cerebral small vessel diseases. In this review and meta-analysis of twenty-one eligible studies, extracranial atherosclerotic stenosis was significantly associated with increased incidence and volume of white matter hyperintensities, whereas intracranial atherosclerotic stenosis was insignificantly associated with white matter hyperintensities. The study highlights the impact of white matter hyperintensities on various adverse outcomes, including cognitive impairment and stroke risk. The meta-analysis underscores the need for longitudinal studies to further evaluate the relationship between white matter hyperintensities and cognitive impairment as well as to assess the potential of interventions in preventing white matter hyperintensity progression.

Liu et al., in an original article, also investigated white matter hyperintensity progression in response to optimal systolic and diastolic blood pressure control. A longitudinal retrospective study was conducted, including 457 patients classified based on white matter hyperintensity severity. The findings from the study suggested that both baseline and longitudinal mean systolic blood pressure (SBP), diastolic blood pressure (DBP), and SBP standard deviation were significantly associated with white matter hyperintensity severity. An average SBP of 130–140 mmHg was associated with a higher risk of white matter hyperintensity progression, while a target means SBP of <130 mmHg and mean DBP of <80 mmHg were associated with a lower risk of white matter hyperintensity progression. The study suggests that controlling SBP and DBP within specific thresholds could be crucial in preventing or slowing white matter hyperintensity progression, providing insights into optimal blood pressure management for individuals at risk of cognitive dysfunction associated with white matter hyperintensities.

The evidence presented in these articles complements the existing body of work surrounding cerebrovascular aging by providing further insight into the intricate relationships between cerebrovascular structure, function, and age-associated cognitive decline. The aging process induces significant changes in the vasculature, contributing to the development of cerebrovascular diseases, which is a major cause of mortality among older individuals. While these studies provide valuable insights, it is crucial to acknowledge the limitations and advocate for further research to enhance understanding of these intricate relationships and pave the way for more effective preventive and therapeutic strategies in the realm of age-related neurodegenerative diseases.

Author contributions

BP: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. SN: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. MM: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. HS: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. ZR: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. CB: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. JI: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. AD: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization. ST: Writing–review and editing, Writing–original draft, Visualization, Validation, Supervision, Software, Resources, Project administration, Methodology, Investigation, Funding acquisition, Formal Analysis, Data curation, Conceptualization.

Funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from the National Institute on Aging (NIA R03AG070479, NIA K01AG073614 and R21AG080775), the American Heart Association AHA CDA941290, the HEvolution Foundation, the NIA-supported Geroscience Training Program in Oklahoma (T32AG052363), the NIA-supported Oklahoma Nathan Shock Center, and the NIGMS supported Center of Biomedical Research Excellence (CoBRE) (1P20GM125528-01A1). This research was supported by the Oklahoma Shared Clinical and Translational Resources (U54GM104938) with an Institutional Development Award (IDeA) from NIGMS. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Conflict of interest

Author AD was employed by Calico Life Sciences LLC.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

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Keywords: dementia, cognitive function, blood-brain barrer, neurovascular function, vascular oxidative stress

Citation: Petersen B, Negri S, Milan M, Shi H, Reyff Z, Ballard C, Ihuoma J, Di Francesco A and Tarantini S (2024) Editorial: Effects of vascular function and aging on brain circulation and neurodegeneration. Front. Aging 5:1385066. doi: 10.3389/fragi.2024.1385066

Received: 11 February 2024; Accepted: 16 February 2024;
Published: 05 March 2024.

Edited and reviewed by:

Jianhua Zhang, University of Alabama at Birmingham, United States

Copyright © 2024 Petersen, Negri, Milan, Shi, Reyff, Ballard, Ihuoma, Di Francesco and Tarantini. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Stefano Tarantini, c3RlZmFuby10YXJhbnRpbmlAb3Voc2MuZWR1

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.