Evidence map›Paper›PMID 41757020›Full record

ArticlebioRxiv : the preprint server for biology2026

Macroscopic to Ultrastructural Analyses Identify the Loss of Myofibrils as the Primary Mediator of Muscle Fiber Atrophy in Aging and Disuse.

Ramy K A Sayed, Anthony N Lange, Hector G Paez, Jamie E Hibbert, Marius Meinhold, Corey G K Flynn, Matilde B Z Vergara, Isabell Dobrzycki, David J Wrucke, Carlos S Zepeda and 3 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

5 · Who and what money

Authors and funding

13 authors.

Ramy K A SayedDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0003-4467-6742
Anthony N LangeDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.
Hector G PaezDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-7381-6006
Jamie E HibbertDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0001-7327-6460
Marius MeinholdDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0009-0008-2469-5827
Corey G K FlynnDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.
Matilde B Z VergaraDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.
Isabell DobrzyckiExercise and Rehabilitation Sciences Program, Department of Physical Therapy, Marquette University, Milwaukee, WI, USA.
David J WruckeExercise and Rehabilitation Sciences Program, Department of Physical Therapy, Marquette University, Milwaukee, WI, USA.
Carlos S ZepedaExercise and Rehabilitation Sciences Program, Department of Physical Therapy, Marquette University, Milwaukee, WI, USA.
Jessica J JamesExercise and Rehabilitation Sciences Program, Department of Physical Therapy, Marquette University, Milwaukee, WI, USA.ORCID 0000-0002-4712-5834
Christopher W SundbergExercise and Rehabilitation Sciences Program, Department of Physical Therapy, Marquette University, Milwaukee, WI, USA.ORCID 0000-0002-6709-4078
Troy A HornbergerDepartment of Comparative Biosciences, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-2349-1899

Funding

Fatigability of Limb Muscle in Older Adults: Protective Effects of ExerciseR01AG048262 · NIA · MARQUETTE UNIVERSITY · PI FITTS, ROBERT H, HUNTER, SANDRA K · 2015 to 2024
$6.1M
Mechanotransduction and the Regulation of Skeletal Muscle MassR01AR057347 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI HORNBERGER, TROY A · 2010 to 2019
$3.6M
Mechanotransduction and the Regulation of Skeletal Muscle MassR56AR057347 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI HORNBERGER, TROY A · 2022 to 2022
$270k
NIAMS NIH HHS R01 AR057347NIAMS NIH HHS R56 AR057347NIA NIH HHS R01 AG048262
6 · The paper itself

Abstract

Background: Aging and disuse are two of the most clinically relevant conditions associated with the loss of skeletal muscle mass, yet the ultrastructural adaptations that drive these losses remain poorly defined. In particular, it is unclear whether radial atrophy of muscle fibers is driven by a reduction in the size of the existing myofibrils, and/or the loss of myofibrils. Accordingly, the objective of this study was to define the macro-to-ultrastructural adaptations that mediate aging- and disuse-induced loss of muscle mass. Methods: Skeletal muscle structure was assessed at the macroscopic, microscopic, and ultrastructural levels in humans and mice. In humans, magnetic resonance imaging was used to quantify knee extensor muscle volume and cross-sectional area (CSA) in young (19 - 40 years) and old (65 - 84 years) adults, and vastus lateralis biopsies were analyzed for microscopic and ultrastructural adaptations using immunohistochemistry and fluorescence imaging of myofibrils with image deconvolution (FIM-ID). Parallel studies were performed in young (4 months) and aged (24 months) mice, along with the use of unilateral hindlimb immobilization to model disuse. Results: Aging led to a robust loss of skeletal muscle mass that was mediated by coordinated macro-to-ultrastructural adaptations. In humans, aging reduced knee extensor muscle volume (34%, Conclusion: This study identifies the loss of myofibrils as a central and conserved mediator of the radial atrophy of muscle fibers that occurs in response to disuse and aging, while also highlighting smaller context-dependent contributions that can arise from changes in myofibril size.

Indexed as

AtrophyFIM-IDImmobilizationMuscle FiberMyofibrilsSarcopenia

Identifiers

PMID41757020
PMCPMC12934749

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.