Evidence map›Paper›PMID 36947599›Full record

ArticleScience robotics2023

Anti-inflammatory therapy enables robot-actuated regeneration of aged muscle.

S L McNamara, B R Seo, B R Freedman, E B Roloson, J T Alvarez, C T O'Neill, H H Vandenburgh, C J Walsh, D J Mooney

Open access · greenAbstract read
In one paragraph

Article in Science robotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

S L McNamaraJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-5940-2560
B R SeoJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
B R FreedmanJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-9406-773X
E B RolosonJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-8675-568X
J T AlvarezJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0003-0679-895X
C T O'NeillJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-6902-9985
H H VandenburghDepartment of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA.
C J WalshJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0002-2744-917X
D J MooneyJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-6299-1194
Harvard University · USBrown University · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
ENGINEERING SKELETAL MUSCLE WITH BIODEGRADABLE HYDROGELSR01DE013349 · NIDCR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MOONEY, DAVID J · 2000 to 2022
$9.3M
Multifunctional tough adhesive hydrogels to recruit, expand, and deliver tendoncells during aging and injuryK99AG065495 · NIA · HARVARD UNIVERSITY · PI FREEDMAN, BENJAMIN ROSS · 2020 to 2022
$341k
The role of mechanical stimulation in macrophage-mediated skeletal muscle regeneration in an in vitro injury modelF31AR075367 · NIAMS · HARVARD UNIVERSITY · PI MCNAMARA, STEPHANIE · 2019 to 2022
$111k
NIAMS NIH HHS F31 AR075367NIA NIH HHS K99 AG065495NIDCR NIH HHS R01 DE013349NIGMS NIH HHS T32 GM007753NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

Robot-actuated mechanical loading (ML)-based therapies ("mechanotherapies") can promote regeneration after severe skeletal muscle injury, but the effectiveness of such approaches during aging is unknown and may be influenced by age-associated decline in the healing capacity of skeletal muscle. To address this knowledge gap, this work used a noninvasive, load-controlled robotic device to impose highly defined tissue stresses to evaluate the age dependence of ML on muscle repair after injury. The response of injured muscle to robot-actuated cyclic compressive loading was found to be age sensitive, revealing not only a lack of reparative benefit of ML on injured aged muscles but also exacerbation of tissue inflammation. ML alone also disrupted the normal regenerative processes of aged muscle stem cells. However, these negative effects could be reversed by introducing anti-inflammatory therapy alongside ML application, leading to enhanced skeletal muscle regeneration even in aged mice.

Indexed as

RegenerationRoboticsAnimalsAnti-Inflammatory AgentsMiceMuscle, SkeletalAnti-Inflammatory Agents

Identifiers

PMID36947599
PMCPMC10328427
OpenAlexW4353040076

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.