Evidence map›Paper›PMID 40367923›Full record

ReviewNeuro-degenerative diseases2025

The Glymphatic System in Cerebrospinal Fluid Dynamics: Clinical Implications, Its Evaluation, and Application to Therapeutics.

Masahiro Ohara, Takaaki Hattori

Abstract readReview
In one paragraph

Review in Neuro-degenerative diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

2 authors.

Masahiro OharaRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA.
Takaaki HattoriDepartment of Neurology and Neurological Science, Institute of Science Tokyo, Tokyo, Japan, takaaki-hattori@umin.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe glymphatic system is a waste clearance system that facilitates the efficient removal of interstitial solutes, including neurotoxic substances such as β-amyloid, from the central nervous system. Numerous studies have highlighted its pivotal role in the pathophysiology of neurodegenerative diseases and cerebrospinal fluid (CSF) disorders. A comprehensive understanding and accurate evaluation of the glymphatic system are of significant clinical importance. Furthermore, emerging evidence suggests that modulating glymphatic activity holds therapeutic potential, including enhancing drug delivery across the brain. SUMMARY: This review consolidates current insights into the glymphatic system, addressing areas of consensus as well as ongoing controversies. The relationship between glymphatic dysfunction and CSF disorders is discussed, alongside advancements in evaluation methodologies. Additionally, therapeutic applications of glymphatic modulation are summarized, particularly its role in optimizing drug distribution within the brain. KEY MESSAGES: This review provides a comprehensive overview of the current knowledge on the glymphatic system and highlights imaging techniques used to assess human glymphatic function, including magnetic resonance imaging (MRI) with contrast agents, diffusion tensor imaging, and emerging techniques such as MRI with 17O-labeled water. Furthermore, the therapeutic implications of glymphatic modulation are discussed, and directions for future research are proposed.

Indexed as

BrainCerebrospinal FluidGlymphatic SystemNeurodegenerative DiseasesAnimalsHumansCerebrospinal fluid dynamicsDiffusion tensor imaging-ALPSDrug deliveryGlymphatic systemHydrocephalusMagnetic resonance imaging

Identifiers

PMID40367923
PMCPMC12158400

What OpenQuestion holds

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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.