Evidence map›Paper›PMID 42620101›Full record

ArticleResearch square2026

Regional Cerebrospinal Fluid Motility as a Key Determinant of Soluble Amyloid-β Levels and Kinetics.

Helia Hosseini, Aristeidis Sotiras, Chihiro Sato, Donald L Elbert, Braden Yang, Nelly Joseph-Mathurin, Vitaliy Ovod, Bruce W Patterson, Brian A Gordon, Sarah J Keefe and 3 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Helia HosseiniMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Aristeidis SotirasMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Chihiro SatoDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0002-7639-8727
Donald L ElbertDepartment of Neurology, University of Washington, Seattle, WA, United States.ORCID 0000-0001-6480-9536
Braden YangMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0002-2558-4132
Nelly Joseph-MathurinMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0002-9735-5152
Vitaliy OvodDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0001-6722-4883
Bruce W PattersonCenter for Human Nutrition, Washington University School of Medicine, St. Louis, MO, United States.
Brian A GordonMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0003-2109-2955
Sarah J KeefeMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Suzanne E SchindlerDepartment of Neurology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0002-1680-1465
Tammie L S BenzingerMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0002-8114-0552
Arash NazeriMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States.ORCID 0000-0001-6983-0641

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
VISUAL DYSFUNCTIONS IN ALZHEIMER'S DISEASEP50AG008012 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI HERRUP, KARL · 1988 to 2005
$11.1M
Redefining Chiari Type I Malformation through Genetically, Radiologically, and Clinically-Derived Endophenotypes that are Predictive of Long-Term Neurological OutcomeP01NS131131 · NINDS · WASHINGTON UNIVERSITY · PI David Delmar Limbrick, Chenyang Lu · 2023 to 2026
$7.6M
Staging Alzheimer disease with blood-based biomarkersR01AG070941 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2021 to 2025
$4.3M
Tau Kinetics in the human CNS in vivo and in vitroK01AG062796 · NIA · WASHINGTON UNIVERSITY · PI SATO, CHIHIRO · 2019 to 2022
$477k
NIA NIH HHS K01 AG062796NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS P50 AG008012NIA NIH HHS R01 AG070941NIDDK NIH HHS P30 DK056341NINDS NIH HHS P01 NS131131
6 · The paper itself

Abstract

Alzheimer's disease and cerebral amyloid angiopathy are characterized by the accumulation of amyloid-β (Aβ) species, yet the human fluid-physiological mechanisms that regulate soluble Aβ transport and clearance remain poorly understood. Aβ40, the dominant vascular Aβ species, remains relatively soluble and accumulates preferentially along vascular basement membranes, making it especially relevant to CSF-mediated clearance pathways. Here, we used non-invasive low b-value diffusion MRI to quantify regional effective CSF motility in a large multimodal cohort from the Knight Alzheimer Disease Research Center, including participants with CSF biomarkers (n = 502), plasma biomarkers (n = 459), amyloid PET imaging (n = 270), and stable isotope labeling kinetics data (n = 40). Effective CSF motility was quantified as mean pseudo-diffusivity (MΨ) and mapped using CSF pseudo-diffusion spatial statistics with a data-driven CSF Waterways atlas. Higher regional CSF motility was consistently associated with higher CSF Aβ40 concentrations, with convergent voxel-wise and region-of-interest effects across ventricular and extra-axial CSF compartments that were most prominent in peri-Sylvian CSF pathways. Across regions, CSF motility measures collectively explained approximately 18% of the variance in CSF Aβ40. A weaker, spatially restricted association was also observed with plasma Aβ40. In contrast, associations with CSF Aβ42 were smaller, anatomically limited, and further attenuated among participants with amyloid deposition on PET. In participants with stable isotope labeling kinetics, higher transventricular and cranio-cervical CSF motility was associated with earlier peak enrichment of labeled Aβ40 and Aβ42, while greater lateral ventricular motility was associated with faster fractional turnover of both peptides. Collectively, these findings identify effective CSF motility as an important physiological determinant of soluble Aβ levels in plasma and CSF, linking regional CSF dynamics to in vivo Aβ transport and turnover, with potential relevance to cerebral amyloid angiopathy and Alzheimer's disease.

Indexed as

amyloid β clearanceCSF flowglymphatic systemintramural peri-arterial drainagelow b-dMRI

Identifiers

PMID42620101
PMCPMC13484840

What Socratic holds

Textmetadata
LicenceCC BY
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.