Evidence map›Paper›PMID 40642113›Full record

ArticlebioRxiv : the preprint server for biology2025

Optimization of Tissue Clearing Methods and Imaging Conditions for 3D Visualization of the Vasculature of the Adult Murine Knee.

Azeez O Ishola, Athira Pillai, Taeyong Ahn, RE-JOIN Consortium, Chih-Wei Hsu, Brendan Lee, Nele Haelterman, Joshua D Wythe

Abstract readPreprint
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. 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

8 authors.

Azeez O IsholaDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Athira PillaiDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
Taeyong AhnDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.
RE-JOIN Consortium
Chih-Wei HsuDepartment of Integrative Physiology; Optical Imaging and Vital Microscopy Core, Advanced Technology Cores; Department of Education, Innovation and Technology, Baylor College of Medicine, Houston, TX 77030, USA.
Brendan LeeDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Nele HaeltermanDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Joshua D WytheDepartment of Cell Biology, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.ORCID 0000-0002-3225-2937

Funding

RE-JOIN NEURONAL ANATOMY, CONNECTIVITY, AND PHENOTYPIC INNERVATION OF THE KNEE JOINTUC2AR082200 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI Benjamin R Arenkiel, Brendan Lee · 2022 to 2026
$14.4M
NIAMS NIH HHS UC2 AR082200
6 · The paper itself

Abstract

The vasculature is an essential regulator of tissue oxygenation, metabolism, and immune surveillance under developmental and homeostatic conditions, as well as in regeneration and disease. Within the musculoskeletal system, blood vessels are involved in bone development and resorption, and they also mediate the inflammatory processes that contribute to diseases affecting the joints, including osteoarthritis. Historically, visualization of vascular networks in joints has been limited to conventional histological approaches due to technical limitations and the inherit structure of the skeletal muscle and bones. Recent advances in optical tissue clearing technologies and 3D fluorescence imaging approaches enabling three-dimensional analysis in whole, intact tissues offer an entrée to interrogate musculoskeletal development and disease at a cellular resolution. However, these techniques were not originally developed to image hard mineralized tissues, such as the femur and tibias. To circumvent these challenges, we have optimized tissue decalcification conditions and systematically compared aqueous- and solvent-based tissue clearing approaches to establish an optimal pipeline for clearing and imaging of mineralized tissues with superior resolution of the vasculature. Collectively, this work shows that optical clearing and lightsheet microscopy presents a viable method for generating high-resolution images of the murine hindlimb vasculature, with potential applications in aging and disease modeling.

Indexed as

Hindlimbmicro-CTTissue ClearingVasculature

Identifiers

PMID40642113
PMCPMC12244493

What Socratic holds

Textmetadata
LicenceCC BY-NC-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.