Evidence map›Paper›PMID 35854160›Full record

ReviewJournal of muscle research and cell motility2022

Mechanisms of eccentric contraction-induced muscle damage and nutritional supplementations for mitigating it.

Keita Kanzaki, Daiki Watanabe, Jiayu Shi, Masanobu Wada

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of muscle research and cell motility, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
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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 2 institutions in 1 country.

Keita KanzakiDepartment of Clinical Nutrition, Faculty of Health Science and Technology, Kawasaki University of Medical Welfare, Okayama, Japan.
Daiki WatanabeGraduate School of Humanities and Social Sciences, Hiroshima University, 1-7-1 Kagamiyama, 739-8521, Higasihiroshima-shi, Hiroshima, Japan.
Jiayu ShiGraduate School of Integrated Arts and Sciences, Hiroshima University, Hiroshima, Japan.
Masanobu WadaGraduate School of Humanities and Social Sciences, Hiroshima University, 1-7-1 Kagamiyama, 739-8521, Higasihiroshima-shi, Hiroshima, Japan. wada@hiroshima-u.ac.jp.ORCID 0000-0002-6628-0848
Hiroshima University · JPKawasaki University of Medical Welfare · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eccentric contraction (ECC) often results in large and long-lasting force deficits accompanied by muscle soreness, primarily due to muscle damage. In this sense, exercises that involve ECC are less desirable. Paradoxically, exercise training that includes a substantial eccentric phase leads to a more powerful activation of the genes responsible for skeletal muscle remodeling (e.g., hypertrophy) than other types of training that emphasize a concentric or isometric phase. Therefore, effective strategies that lessen ECC-induced muscle damage will be of interest and importance to many individuals. The purpose of this brief review is to highlight the published literature on the effects of ECC and/or nutritional supplementations on proteins, lipids, metabolic and ionic changes, and enzyme activities in skeletal muscles subjected to an acute bout of ECC. First, we discuss the potential mechanisms by which ECC causes muscle damage. Previous findings implicate a Ca

Indexed as

AntioxidantsMuscle ContractionArginineDietary SupplementsHumansMuscle, SkeletalAntioxidantsArginineCa2+ overloadL-arginineMechanical stressOxidative stressProteolysis

Identifiers

PMID35854160
OpenAlexW4286219259

What OpenQuestion holds

Textmetadata
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.