Evidence map›Paper›PMID 38189131›Full record

ArticleAmerican journal of physiology. Cell physiology2024

Predicting myosin heavy chain isoform from postdissection fiber length in human skeletal muscle fibers.

Grace E Privett, Austin W Ricci, Julissa Ortiz-Delatorre, Damien M Callahan

Open access · hybridAbstract read
In one paragraph

Article in American journal of physiology. Cell physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 4 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

4 authors at 1 institution in 1 country.

Grace E PrivettDepartment of Human Physiology, University of Oregon, Eugene, Oregon, United States.
Austin W RicciDepartment of Human Physiology, University of Oregon, Eugene, Oregon, United States.
Julissa Ortiz-DelatorreDepartment of Human Physiology, University of Oregon, Eugene, Oregon, United States.
Damien M CallahanDepartment of Human Physiology, University of Oregon, Eugene, Oregon, United States.ORCID 0000-0001-6845-0196
University of Oregon · US

Funding

Protein modification and the aging phenotype of human skeletal muscleR21AG077125 · NIA · UNIVERSITY OF OREGON · PI CALLAHAN, DAMIEN MARK · 2023 to 2024
$405k
NIA NIH HHS R21 AG077125
6 · The paper itself

Abstract

Experimental techniques in single human skeletal muscle cells require manual dissection. Unlike other mammalian species, human skeletal muscle is characterized by a heterogeneous mixture of myosin heavy chain (MHC) isoforms, typically used to define "fiber type," which profoundly influences cellular function. Therefore, it is beneficial to predict MHC isoform at the time of dissection, facilitating a more balanced fiber-type distribution from a potentially imbalanced sample. Although researchers performing single fiber dissection report predicting fiber-type based on mechanical properties of fibers upon dissection, a rigorous examination of this approach has not been performed. Therefore, we measured normalized fiber length (expressed as a % of the length of the bundle from which the fiber was dissected) in single fibers immediately following dissection. Six hundred sixty-eight individual fibers were dissected from muscle tissue samples from healthy, young adults to assess whether this characteristic could differentiate fibers containing MHC I ("slow" fiber type) or not ("fast" fiber type). Using receiver operator characteristic (ROC) curves, we found that differences in normalized fiber length (114 ± 13%, MHC I; 124 ± 17%, MHC IIA,

Indexed as

Muscle Fibers, SkeletalMyosin Heavy ChainsAgedAnimalsFemaleHumansMaleMammalsMuscle, SkeletalProtein IsoformsReproducibility of ResultsYoung AdultMyosin Heavy ChainsProtein Isoformsfiber lengthMHCROCskeletal muscle

Identifiers

PMID38189131
PMCPMC11193481
OpenAlexW4390669033

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.