Evidence map›Paper›PMID 39424992›Full record

ReviewNature protocols2025

A mouse model of volumetric muscle loss and therapeutic scaffold implantation.

Caroline Hu, Gladys Chiang, Alex H-P Chan, Cynthia Alcazar, Karina H Nakayama, Marco Quarta, Thomas A Rando, Ngan F Huang

Abstract readReview
In one paragraph

Review in Nature protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  14. Bioactive materials · 2025
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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

8 authors.

Caroline HuVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Gladys ChiangVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Alex H-P ChanThe Stanford Cardiovascular Institute, Stanford University, Palo Alto, CA, USA.ORCID 0000-0002-1244-7673
Cynthia AlcazarDepartment of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA.
Karina H NakayamaDepartment of Biomedical Engineering, Oregon Health and Science University, Portland, OR, USA.
Marco QuartaVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Thomas A RandoVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.ORCID 0000-0001-5843-8564
Ngan F HuangVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA. ngantina@stanford.edu.ORCID 0000-0003-2298-6790

Funding

Technology Development P2CHD086843 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AMBROSIO, FABRISIA · 2015 to 2024
$10.5M
Regenerative engineering for complex extremity traumaR01AR080150 · NIAMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Karina Nakayama · 2023 to 2026
$2.1M
Development of a Bioengineered Therapeutic Device for the Prevention of LymphedemaR01CA285372 · NCI · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI Ngan F. Huang, Michael Vitoldovich Paukshto · 2024 to 2026
$1.6M
Engineered matrix microarrays to enhance the regenerative potential of iPSC-derived endothelial cellsR01HL142718 · NHLBI · STANFORD UNIVERSITY · PI HEILSHORN, SARAH C, HUANG, NGAN F. · 2018 to 2021
$1.6M
Spatial patterning modulates tissue revascularization and regenerationR00HL136701 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI NAKAYAMA, KARINA · 2020 to 2022
$741k
Biomaterials for delivery and maintenance of tip endothelial cellsR21HL172096 · NHLBI · UNIVERSITY OF CALIFORNIA, MERCED · PI HUANG, NGAN F., MCCLOSKEY, KARA E · 2024 to 2025
$643k
Novel Highly Regenerative and Scalable Progenitor Cell Exosomes for Treating Peripheral Artery DiseaseR41HL170875 · NHLBI · SERINA THERAPEUTICS, INC. · PI HUANG, NGAN F., LEE, JI EUN · 2023 to 2023
$341k
BLRD VA I01 BX004259BLRD VA IK6 BX006309National Science Foundation (NSF) 1829534 and 2227614NCI NIH HHS R01 CA285372NHLBI NIH HHS R00 HL136701NHLBI NIH HHS R01 HL142718NHLBI NIH HHS R21 HL172096NHLBI NIH HHS R41 HL170875NIAMS NIH HHS R01 AR080150NICHD NIH HHS P2C HD086843RRD VA I01 RX001222RRD VA I21 RX004898U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01AR080150, R00HL136701U.S. Department of Health & Human Services | National Institutes of Health (NIH) R01 HL142718, R41HL170875, R21 HL172096-01, and P2CHD086843U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) P2CHD086843U.S. Department of Veterans Affairs (Department of Veterans Affairs) RX001222U.S. Department of Veterans Affairs (Department of Veterans Affairs) RX001222, 1I01BX004259, and IK6BX006309
6 · The paper itself

Abstract

Skeletal myofibers naturally regenerate after damage; however, impaired muscle function can result in cases when a prominent portion of skeletal muscle mass is lost, for example, following traumatic muscle injury. Volumetric muscle loss can be modeled in mice using a surgical model of muscle ablation to study the pathology of volumetric muscle loss and to test experimental treatments, such as the implantation of acellular scaffolds, which promote de novo myogenesis and angiogenesis. Here we provide step-by-step instructions to perform full-thickness surgical ablation, using biopsy punches, and to remove a large volume of the tibialis anterior muscle of the lower limb in mice. This procedure results in a reduction in muscle mass and limited regeneration capacity; the approach is easy to reproduce and can also be applied to larger animal models. For therapeutic applications, we further explain how to implant bioscaffolds into the ablated muscle site. With adequate training and practice, the surgical procedure can be performed within 30 min.

Indexed as

Muscle, SkeletalTissue ScaffoldsAnimalsDisease Models, AnimalMiceRegeneration

Identifiers

PMID39424992
PMCPMC11896750

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.