Evidence map›Paper›PMID 40635873›Full record

ArticlebioRxiv : the preprint server for biology2025

Cell type-specific contributions to impaired blood-brain barrier and cerebral metabolism in presymptomatic 5XFAD mice.

Minmin Yao, Na Sun, Raleigh Linville, Zhiliang Wei, Aaron Kakazu, Yuxiao Ouyang, Ruoxuan Li, Lida Du, Haitong Wang, Yuan Zhou and 8 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Minmin YaoDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Na SunComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA.
Raleigh LinvilleDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, USA.
Zhiliang WeiThe Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Aaron KakazuDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Yuxiao OuyangDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Ruoxuan LiDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Lida DuDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Haitong WangDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Yuan ZhouDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Yanli JiangDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.
Ziqin ZhangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Anna LiF.M. Kirby Research Center, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.
Hanzhang LuThe Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jiadi XuDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
Manolis KellisComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, 32 Vassar St, Cambridge, Massachusetts 02139, USA.ORCID 0000-0001-7113-9630
Myriam HeimanDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology; Cambridge, USA.
Wenzhen DuanDivision of Neurobiology, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of medicine, Baltimore, Maryland, USA.

Funding

Single Cell Transcriptomic and Epigenomic Dissection of Opioid and Cocaine Responses in HIVU01DA053631 · NIDA · BROAD INSTITUTE, INC. · PI HEIMAN, MYRIAM, KELLIS, MANOLIS · 2021 to 2025
$12.6M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Peter CM Van Zijl · 2021 to 2026
$9.9M
Single-cell multi-region transcriptional and epigenomic dissection of VCID.RF1NS129032 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HEIMAN, MYRIAM, KELLIS, MANOLIS · 2022 to 2022
$3.1M
Cerebrospinal fluid exchange in Alzheimer's disease characterized by advanced MRI techniquesR01AG080104 · NIA · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI JIadi Xu · 2023 to 2026
$2.9M
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
Pathophysiological mechanisms of hypoperfusion in mouse models of Alzheimer?s disease and small vessel diseaseR01AG081932 · NIA · JOHNS HOPKINS UNIVERSITY · PI Zhiliang Wei · 2023 to 2026
$2.1M
Single-cell multi-region transcriptional and epigenomic dissection of VCID.R01NS129032 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Myriam Heiman, Manolis Kellis · 2025 to 2026
$2.1M
Emerging role of glymphatic clearance in Huntington's diseaseR01NS127344 · NINDS · JOHNS HOPKINS UNIVERSITY · PI Wenzhen Duan, JIadi Xu · 2023 to 2026
$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
Single Cell Dissection of Cerebrovascular Dysfunction in Parkinson's Disease and Amyotrophic Lateral SclerosisF32NS128067 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LINVILLE, RALEIGH MILLER · 2022 to 2024
$213k
NIA NIH HHS R01 AG071515NIA NIH HHS R01 AG080104NIA NIH HHS R01 AG081932NIBIB NIH HHS P41 EB031771NIDA NIH HHS U01 DA053631NINDS NIH HHS F32 NS128067NINDS NIH HHS R01 NS124084NINDS NIH HHS R01 NS127344NINDS NIH HHS R01 NS129032NINDS NIH HHS RF1 NS129032
6 · The paper itself

Abstract

Altered cerebral metabolism and blood-brain barrier (BBB) dysfunction are emerging as critical contributors to the preclinical phase of Alzheimer's disease (AD), underscoring their role in early pathogenesis. To identify sensitive biomarkers before irreversible neuronal loss and cognitive decline, we examined 5XFAD mice at 3 months of age by applying multiple advanced MRI techniques. Arterial spin tagging based MRI revealed increased BBB permeability and water extraction fraction, indicating compromised BBB integrity at the early stage of pathogenesis in 5×FAD mice. Despite preserved cerebral blood flow, a decreased unit mass cerebral metabolic rate of oxygen (CMRO

Indexed as

Alzheimer’s diseaseblood brain barriercerebral metabolismhistone lactylationneuroimaging biomarkerssingle cell transcriptomics

Identifiers

PMID40635873
PMCPMC12240590

What Socratic holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.