Evidence map›Paper›PMID 36640948›Full record

ArticleNeuroImage2023

Non-contrast assessment of blood-brain barrier permeability to water in mice: An arterial spin labeling study at cerebral veins.

Zhiliang Wei, Hongshuai Liu, Zixuan Lin, Minmin Yao, Ruoxuan Li, Chang Liu, Yuguo Li, Jiadi Xu, Wenzhen Duan, Hanzhang Lu

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 39 citations in OpenAlex.

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  16. Heterogeneous blood-brain barrier dysfunction in cerebral small vessel diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Zhiliang WeiThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA. Electronic address: zhiliang.wei@jhu.edu.
Hongshuai LiuDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA.
Zixuan LinThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA.
Minmin YaoDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA.
Ruoxuan LiDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA.
Chang LiuDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA.
Yuguo LiThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA.
Jiadi XuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA.
Wenzhen DuanDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 North Wolfe Street, CMSC 8-121, Baltimore, MD 21287, USA; The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: wduan2@jhmi.edu.
Hanzhang LuThe Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 600N. Wolfe Street, Park 326, Baltimore, MD 21287, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

Sleep and Circadian Dysfunction, Brain and Neurobehavioral Development in AutismP50HD103538 · NICHD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI S. Ali Fatemi, Bradley L Schlaggar · 2020 to 2026
$9.9M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Advanced MRI biomarkers in HD mouse models translatable to humans: nature history and response to therapeuticsR01NS124084 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN · 2022 to 2025
$2.6M
Non-contrast MR imaging of blood-brain-barrier permeability in Alzheimer's diseaseR01AG064792 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2020 to 2023
$2.6M
Blood-brain barrier dysfunction in Alzheimer's disease: from humans to animal modelsRF1AG071515 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2021 to 2021
$2.4M
Emerging role of glymphatic clearance in Huntington's diseaseR01NS127344 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Wenzhen Duan, JIadi Xu · 2023 to 2026
$2.0M
Advanced MRI biomarkers in HD mouse models translatable to humans: nature history and response to therapeuticsR56NS124084 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN · 2021 to 2021
$522k
Brain oxygen consumption as an MRI biomarker of neurodegeneration in a model of Alzheimer?s diseaseR21AG058413 · NIA · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2019
$465k
Characterization and validation of cerebrovascular reactivity (CVR) as a biomarker of vascular dementia in mouse modelsR21NS119960 · NINDS · JOHNS HOPKINS UNIVERSITY · PI WEI, ZHILIANG · 2021 to 2021
$465k
Imaging brain glucose uptake by onVDMP MRI in Huntington's DiseaseR21NS118079 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN, XU, JIADI · 2020 to 2020
$465k
NIA NIH HHS R01 AG064792NIA NIH HHS R21 AG058413NIA NIH HHS RF1 AG071515NIBIB NIH HHS P41 EB031771NICHD NIH HHS P50 HD103538NINDS NIH HHS R01 NS124084NINDS NIH HHS R01 NS127344NINDS NIH HHS R21 NS118079NINDS NIH HHS R21 NS119960NINDS NIH HHS R56 NS124084
6 · The paper itself

Abstract

Blood-brain barrier (BBB) plays a critical role in protecting the brain from toxins and pathogens. However, in vivo tools to assess BBB permeability are scarce and often require the use of exogenous contrast agents. In this study, we aimed to develop a non-contrast arterial-spin-labeling (ASL) based MRI technique to estimate BBB permeability to water in mice. By determining the relative fraction of labeled water spins that were exchanged into the brain tissue as opposed to those that remained in the cerebral veins, we estimated indices of global BBB permeability to water including water extraction fraction (E) and permeability surface-area product (PS). First, using multiple post-labeling delay ASL experiments, we estimated the bolus arrival time (BAT) of the labeled spins to reach the great vein of Galen (VG) to be 691.2 ± 14.5 ms (N = 5). Next, we investigated the dependence of the VG ASL signal on labeling duration and identified an optimal imaging protocol with a labeling duration of 1200 ms and a PLD of 100 ms. Quantitative E and PS values in wild-type mice were found to be 59.9 ± 3.2% and 260.9 ± 18.9 ml/100 g/min, respectively. In contrast, mice with Huntington's disease (HD) revealed a significantly higher E (69.7 ± 2.4%, P = 0.026) and PS (318.1 ± 17.1 ml/100 g/min, P = 0.040), suggesting BBB breakdown in this mouse model. Reproducibility studies revealed a coefficient-of-variation (CoV) of 4.9 ± 1.7% and 6.1 ± 1.2% for E and PS, respectively. The proposed method may open new avenues for preclinical research on pathophysiological mechanisms of brain diseases and therapeutic trials in animal models.

Indexed as

Blood-Brain BarrierCerebral VeinsAnimalsCerebrovascular CirculationMagnetic Resonance ImagingMicePermeabilityReproducibility of ResultsSpin LabelsWaterSpin LabelsWaterArterial spin labelingBlood-brain barrierMouseMRIPermeability surface-area productWater extraction

Identifiers

PMID36640948
PMCPMC9908858
OpenAlexW4315607481

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.