Evidence map›Paper›PMID 39209134›Full record

ArticleActa biomaterialia2024

Strain-dependent dynamic re-alignment of collagen fibers in skeletal muscle extracellular matrix.

Ross P Wohlgemuth, Sathvik Sriram, Kyle E Henricson, Daryl T Dinh, Sarah E Brashear, Lucas R Smith

Abstract read
In one paragraph

Article in Acta biomaterialia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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

6 authors.

Ross P WohlgemuthDepartment of Neurobiology, Physiology, & Behavior, University of California Davis, United States.
Sathvik SriramDepartment of Neurobiology, Physiology, & Behavior, University of California Davis, United States.
Kyle E HenricsonDepartment of Neurobiology, Physiology, & Behavior, University of California Davis, United States.
Daryl T DinhDepartment of Neurobiology, Physiology, & Behavior, University of California Davis, United States.
Sarah E BrashearDepartment of Neurobiology, Physiology, & Behavior, University of California Davis, United States.
Lucas R SmithDepartment of Neurobiology, Physiology, & Behavior, University of California Davis, United States; Department of Physical Medicine and Rehabilitation, University of California Davis, United States. Electronic address: lucsmith@ucdavis.edu.

Funding

Interdependency of fibroadipogenic progenitors and extracellular matrix that drive skeletal muscle fibrosisR01AR079545 · NIAMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LUCAS R SMITH · 2022 to 2026
$2.5M
Using collagenase to target collagen architecture in fibrotic skeletal muscle to reduce stiffness and promote tissue regeneration.F31AR082695 · NIAMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI WOHLGEMUTH, ROSS PAUL · 2024 to 2024
$28k
NIAMS NIH HHS F31 AR082695NIAMS NIH HHS R01 AR079545
6 · The paper itself

Abstract

Collagen fiber architecture within the skeletal muscle extracellular matrix (ECM) is significant to passive muscle mechanics. While it is thought that collagen fibers re-orient themselves in response to changes in muscle length, this has not been dynamically visualized and quantified within a muscle. The goal of this study was to measure changes in collagen alignment across a range of muscle lengths and compare the corresponding alignment to muscle mechanics. We hypothesized that collagen fibers dynamically increase alignment in response to muscle stretching, and this change in alignment is related to passive muscle stiffness. Further, we hypothesized that digesting collagen fibers with collagenase would reduce the re-alignment response to muscle stretching. Using DBA/2J and D2.mdx mice, we isolated extensor digitorum longus (EDL), soleus, and diaphragm muscles for collagenase or sham treatment and decellularization to isolate intact or collagenase-digested decellularized muscles (DCMs). These DCMs were mechanically tested and imaged using second harmonic generation microscopy to measure collagen alignment across a range of strains. We found that collagen alignment increased in a strain-dependent fashion, but collagenase did not significantly affect the strain-dependent change in alignment. We also saw that the collagen fibers in the diaphragm epimysium (surface ECM) and perimysium (deep ECM) started at different angles, but still re-oriented in the same direction in response to stretching. These robust changes in collagen alignment were weakly related to passive DCM stiffness. Overall, we demonstrated that the architecture of muscle ECM is dynamic in response to strain and is related to passive muscle mechanics. STATEMENT OF SIGNIFICANCE: Our study presents a unique visualization and quantification of strain-induced changes in muscle collagen fiber alignment as they relate to passive mechanics. Using dynamic imaging of collagen in skeletal muscle we demonstrate that as skeletal muscle is stretched, collagen fibers re-orient themselves along the axis of stretch and increase their alignment. The degree of alignment and the increase in alignment are each weakly related to passive muscle stiffness. Collagenase treatments further demonstrate that the basis for muscle Extracellular matrix stiffness is dependent on factors beyond collagen crosslinking and alignment. Together the study contributes to the knowledge of the structure-function relationships of muscle extracellular matrix to tissue stiffness relevant to conditions of fibrosis and aberrant stiffness.

Indexed as

CollagenExtracellular MatrixMuscle, SkeletalAnimalsCollagenasesMaleMiceMice, Inbred DBAStress, MechanicalCollagenCollagenasesCollagen architectureExtracellular matrixMuscle mechanicsSecond harmonic generationSkeletal muscle

Identifiers

PMID39209134
PMCPMC11804869

What OpenQuestion holds

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LicenceCC BY
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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.