New MRI Technique Can Detect Early Dysfunction of Blood-Brain Barrier Associated With Small Vessel Disease
LEXINGTON, Ky. (May 5, 2021) — Collaborative research between the University of Kentucky and the University of Southern California (USC) suggests that a noninvasive neuroimaging technique may index early-stage blood-brain barrier (BBB) dysfunction associated with small vessel disease (SVD). Cerebral SVD is the most common cause of vascular cognitive impairment, with a significant proportion of cases going on to develop dementia. BBB dysfunction represents a promising early marker of SVD because the BBB regulates a number of important metabolic functions, including clearance of toxic brain substances.
Advanced BBB dysfunction can be detected with neuroimaging measures such as positron emission tomography (PET) scanning and dynamic contrast-enhanced (DCE) MRI. However, these methods require exposure to radiation or contrast agents and may only detect moderate to advanced stages of BBB tissue disruption. The UK-USC study used a novel, noninvasive MRI method called diffusion-prepared arterial spin labeling (DP-ASL), which was developed by Xingfeng Shao, Ph.D., and Danny Wang, Ph.D., at USC. The DP-ASL method indexes subtle BBB dysfunctions associated with altered water exchange rate across the BBB.
In the study, healthy older adults (67-86 years old) without cognitive impairment were scanned with the DP-ASL sequence at UK’s Magnetic Resonance Imaging and Spectroscopy Center. In addition, study participants volunteered for lumbar cerebrospinal fluid (CSF) draw as part of their enrollment in the study at UK’s Sanders-Brown Center on Aging (SBCoA). The study focused on CSF levels of amyloid-beta (Aβ), which are abnormally low when this protein is not adequately cleared from the brain into the CSF.
Results indicated that low CSF levels of Aβ were associated with a low BBB water exchange rate assessed with the DP-ASL method. “Our results suggest that DP-ASL may provide a noninvasive index of BBB clearance dysfunction prior to any detectable cognitive impairment,” said Brian Gold, Ph.D., professor in the UK Department of Neuroscience and SBCoA.
Gold is the lead author of the article, which appears in a recent issue of Alzheimer's & Dementia: The Journal of the Alzheimer's Association. Wang, a professor of Neurology and Radiology at USC, the study’s senior author, said, “Our data indicate the important role of BBB water exchange in the clearance of amyloid-beta, and the potential for using DP-ASL to noninvasively assess BBB water exchange in clinical trials of SVD.”
In addition to Gold, several others from UK contributed to the research including Dr. Gregory Jicha, professor in the Department of Neurology and SBCoA, Donna Wilcock, Ph.D., professor in the Department of Physiology and SBCoA, Tiffany Sudduth and Elayna Seago.
Results from the UK-USC study also support growing evidence that BBB dysfunction may represent a link between SVD and clinical diagnosis of Alzheimer’s disease (AD). Excess accumulation of Aβ is a hallmark feature of individuals who receive a clinical diagnosis of AD. However, Aβ pathology is also seen in many cases of SVD. Results from the UK-USC study are consistent with theories suggesting that insufficient clearance of Aβ through the BBB may impair BBB function which, in turn, may further accelerate the accumulation of Aβ in the brain. Gold noted that “an important topic for future research is why some individuals with BBB dysfunction and impaired Aβ clearance may develop cognitive declines associated with AD while others develop more vascular-like cognitive declines.”
Research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health under Award Number R01AG055449, National Institute of General Medical Sciences of the National Institutes of Health under Award Number S10OD023573, National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Numbers UH3-NS100614 and R01NS114382, National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health under Award Number R01EB028297. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.