Evidence map›Paper›PMID 41509260›Full record

ArticlebioRxiv : the preprint server for biology2026

Discovery of Abundant Nano-scale Lymphatic-like Vessels in Brains.

Shiju Gu, Hongquan Dong, Hao Chen, Jiang Yu, Lei Liu, Jinwu Yan, Huizhe Wang, Zhiyong Jiang, Wanqian Huang, Wei Wang and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

14 authors.

Shiju GuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Hongquan DongAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Hao ChenAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Jiang YuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Lei LiuAnn Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.ORCID 0000-0002-4604-4629
Jinwu YanAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Huizhe WangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Zhiyong JiangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Wanqian HuangAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.
Wei WangMGH Center for Translational Pain Research, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114.
Steven H LiangDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA.
Can ZhangGenetics and Aging Research Unit, McCance Center for Brain Health, MassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA, 02129.
Shiqian ShenMGH Center for Translational Pain Research, Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114.
Chongzhao RanAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital/Harvard Medical School, Room 2301, Building 149, Charlestown, Boston, Massachusetts, 02129.

Funding

Development of sensitive PET tracers of pan-Amyloid-beta species for Alzheimer's diseaseR01AG085562 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Chongzhao Ran · 2024 to 2026
$2.5M
Near infrared fluorescence imaging of reactive oxygen species in Alzheimer's diseaseR01AG055413 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI RAN, CHONGZHAO · 2018 to 2022
$2.1M
Upgrade and replacement of IVIS Spectrum imaging systemS10OD028609 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI RAN, CHONGZHAO · 2020 to 2020
$600k
Differentiating Abeta40/42 in plaques with small molecule fluorescent probesR21AG078749 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI RAN, CHONGZHAO · 2022 to 2022
$459k
Epitope alteration for detecting auto-antibodies of beta-amyloid in serumR21AG080222 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI RAN, CHONGZHAO · 2023 to 2023
$459k
NIA NIH HHS R01 AG055413NIA NIH HHS R01 AG085562NIA NIH HHS R21 AG078749NIA NIH HHS R21 AG080222NIH HHS S10 OD028609
6 · The paper itself

Abstract

As one of the most metabolically active organs, the brain requires an exceptionally efficient system for waste clearance to sustain its high metabolic demands. However, whether such a system exists-and, if so, what structural features enable its efficiency-remains incompletely understood. More than a decade ago, the "glymphatic system" was proposed to describe neurofluid transport through cerebrospinal fluid (CSF) and perivascular spaces (PVS), in conjunction with dural and meningeal lymphatic pathways. Nevertheless, it remains unresolved whether neurofluid transport is organized as a structured, vessel-like flow network. Moreover, in stark contrast to the dense network of blood capillaries in the brain, only a sparse population of lymphatic vessels has been identified, raising doubts as to whether the currently recognized lymphatic architecture alone can support efficient metabolic waste clearance. By combining expansion microscopy with CRANAD-3, a pan-β-amyloid fluorescent probe, we discovered abundant nanoscale lymphatic-like vessels (NLVs) within the brain parenchyma of both mice and humans. The majority of these structures have diameters below 1,000 nm and exhibit moderate positivity for multiple lymphatic markers, including LYVE-1, Prox-1, PDPN, and VEGFR3. NLVs frequently coil around blood vessels, and putative connections between vascular structures were observed. Notably, some NLVs traverse multiple cortical layers and display distinct orientation patterns that vary across cortical laminae. This discovery reveals a previously "hidden" vascular network in the brain parenchyma and raises the possibility that an abundant, highly organized system of nanoscale tubular structures may provide an efficient conduit for metabolic waste clearance. Such a system could represent a critical, previously unrecognized component supporting the brain's extraordinary metabolic demands.

Identifiers

PMID41509260
PMCPMC12776395

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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.