Evidence map›Paper›PMID 33398324›Full record

ArticleBioscience reports2021

Insight into molecular profile changes after skeletal muscle contusion using microarray and bioinformatics analyses.

Na Li, Ru-Feng Bai, Chun Li, Li-Hong Dang, Qiu-Xiang Du, Qian-Qian Jin, Jie Cao, Ying-Yuan Wang, Jun-Hong Sun

Open access · goldAbstract read
In one paragraph

Article in Bioscience reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

12 citing papers in PubMed, 13 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.

Na LiSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Ru-Feng BaiKey Laboratory of Evidence Science, China University of Political Science and law, Beijing, China.
Chun LiSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Li-Hong DangSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Qiu-Xiang DuSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Qian-Qian JinSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Jie CaoSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Ying-Yuan WangSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Jun-Hong SunSchool of Forensic Medicine, Shanxi Medical University, Jinzhong 030604, Shanxi, China.
Shanxi Medical University · CNChina University of Political Science and Law · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle trauma frequently occurs in daily life. However, the molecular mechanisms of muscle healing, which partly depend on the extent of the damage, are not well understood. The present study aimed to investigate gene expression profiles following mild and severe muscle contusion, and to provide more information about the molecular mechanisms underlying the repair process. A total of 33 rats were divided randomly into control (n=3), mild contusion (n=15), and severe contusion (n=15) groups; the contusion groups were further divided into five subgroups (1, 3, 24, 48, and 168 h post-injury; n=3 per subgroup). A total of 2844 and 2298 differentially expressed genes (DEGs) were identified using microarray analyses in the mild and severe contusions, respectively. From the analysis of the 1620 coexpressed genes in mildly and severely contused muscle, we discovered that the gene profiles in functional modules and temporal clusters were similar between the mild and severe contusion groups; moreover, the genes showed time-dependent patterns of expression, which allowed us to identify useful markers of wound age. The functional analyses of genes in the functional modules and temporal clusters were performed, and the hub genes in each module-cluster pair were identified. Interestingly, we found that genes down-regulated at 24-48 h were largely associated with metabolic processes, especially of the oxidative phosphorylation (OXPHOS), which has been rarely reported. These results improve our understanding of the molecular mechanisms underlying muscle repair, and provide a basis for further studies of wound age estimation.

Indexed as

AnimalsCluster AnalysisComputational BiologyContusionsDown-RegulationGene Expression ProfilingMaleMuscle, SkeletalOligonucleotide Array Sequence AnalysisOxidative PhosphorylationProtein Interaction MapsRatsRats, Sprague-Dawleybioinformatics analysisgene expression profilemicroarraySkeletal muscle healingwound age

Identifiers

PMID33398324
PMCPMC7816072
OpenAlexW3120856593

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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.