Evidence map›Paper›PMID 34041783›Full record

ArticleAnnals of neurology2021

Blood-Brain Barrier Breakdown in Relationship to Alzheimer and Vascular Disease.

Zixuan Lin, Sandeepa Sur, Peiying Liu, Yang Li, Dengrong Jiang, Xirui Hou, Jacqueline Darrow, Jay J Pillai, Sevil Yasar, Paul Rosenberg and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

92 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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32 more citing papers are in PubMed but not listed here.

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

13 authors.

Zixuan LinDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD.
Sandeepa SurRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
Peiying LiuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
Yang LiRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
Dengrong JiangRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
Xirui HouDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD.
Jacqueline DarrowDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Jay J PillaiRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
Sevil YasarDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD.
Paul RosenbergDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Abhay MoghekarDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD.
Hanzhang LuDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD.ORCID 0000-0003-3871-1564

Funding

Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
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
An integrated vascular MR imaging suite in brain diseasesR01NS106702 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.7M
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
MR fingerprinting (MRF) perfusion imaging in cerebral vascular diseaseR01NS106711 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.2M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
Blood-brain barrier dysfunction in Alzheimer's disease: from humans to animal modelsR01AG071515 · NIA · JOHNS HOPKINS UNIVERSITY · PI Hanzhang Lu · 2024 to 2026
$1.6M
American Heart Association 19PRE34380371NIA NIH HHS P30 AG066507NIA NIH HHS R01 AG064792NIA NIH HHS R01 AG071515NIA NIH HHS RF1 AG071515NIBIB NIH HHS P41 EB015909NIBIB NIH HHS P41 EB031771NIH HHS P41 EB015909NIH HHS R01 AG064792NIH HHS R01 AG071515NIH HHS R01 NS106702NIH HHS R01 NS106711NIH HHS S10 OD021648NINDS NIH HHS R01 NS106702NINDS NIH HHS R01 NS106711
6 · The paper itself

Abstract

objectiveBlood-brain barrier (BBB) breakdown has been suggested to be an early biomarker in human cognitive impairment. However, the relationship between BBB breakdown and brain pathology, most commonly Alzheimer disease (AD) and vascular disease, is still poorly understood. The present study measured human BBB function in mild cognitive impairment (MCI) patients on 2 molecular scales, specifically BBB's permeability to water and albumin molecules.

methodsFifty-five elderly participants were enrolled, including 33 MCI patients and 22 controls. BBB permeability to water was measured with a new magnetic resonance imaging technique, water extraction with phase contrast arterial spin tagging. BBB permeability to albumin was determined using cerebrospinal fluid (CSF)/serum albumin ratio. Cognitive performance was assessed by domain-specific composite scores. AD pathology (including CSF Aβ and ptau) and vascular risk factors were examined.

resultsCompared to cognitively normal subjects, BBB in MCI patients manifested an increased permeability to small molecules such as water but was no more permeable to large molecules such as albumin. BBB permeability to water was found to be related to AD markers of CSF Aβ and ptau. On the other hand, BBB permeability to albumin was found to be related to vascular risk factors, especially hypercholesterolemia, but was not related to AD pathology. BBB permeability to small molecules, but not to large molecules, was found to be predictive of cognitive function.

interpretationThese findings provide early evidence that BBB breakdown is related to both AD and vascular risks, but their effects can be differentiated by spatial scales. BBB permeability to small molecules has a greater impact on cognitive performance. ANN NEUROL 2021;90:227-238.

Indexed as

AgedAlzheimer DiseaseAmyloid beta-PeptidesBlood-Brain BarrierCapillary PermeabilityCognitive DysfunctionCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPeptide FragmentsSerum Albumin, Humantau ProteinsVascular DiseasesALB protein, humanAmyloid beta-Peptidesamyloid beta-protein (1-42)MAPT protein, humanPeptide FragmentsSerum Albumin, Humantau Proteins

Identifiers

PMID34041783
PMCPMC8805295

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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.