Evidence mapPaperPMID 33709257Full record

ArticleNeurochemical research2021

Bioinformatic Analysis of Exosomal MicroRNAs of Cerebrospinal Fluid in Ischemic Stroke Rats After Physical Exercise.

Mudan Huang, Chongjun Xiao, Liying Zhang, Lili Li, Jing Luo, Lilin Chen, Xiquan Hu, Haiqing Zheng

Abstract read
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In one paragraph

Article in Neurochemical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 15 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

8 authors at 1 institution in 1 country.

Mudan Huang *Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
Chongjun Xiao *Department of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
Liying ZhangDepartment of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
Lili LiDepartment of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
Jing LuoDepartment of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
Lilin ChenDepartment of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
Xiquan HuDepartment of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China.
Haiqing ZhengDepartment of Rehabilitation Medicine, The Third Affiliated Hospital, Sun Yat-Sen University, No. 600, Tianhe Road, Guangzhou, 510630, China. zhenghq2@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-7385-3037
Sun Yat-sen University · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2019A1515011106National Natural Science Foundation of China 81572228National Natural Science Foundation of China 81972151
6 · The paper itself

Abstract

Physical exercise is beneficial to the structural and functional recovery of post-ischemic stroke, but its molecular mechanism remains obscure. Herein, we aimed to explore the underlying mechanism of exercise-induced neuroprotection from the perspective of microRNAs (miRNAs). Adult male Sprague-Dawley (SD) rats were randomly distributed into 4 groups, i.e., the physical exercise group with the transient middle cerebral artery occlusion (tMCAO) surgery (PE-IS, n = 28); the physical exercise group without tMCAO surgery (PE, n = 6); the sedentary group with tMCAO surgery (Sed-IS, n = 28); and the sedentary group without tMCAO surgery (Sed, n = 6). Notably, rats in the PE-IS and PE groups were subjected to a running exercise for 28 days while rats in the Sed-IS and Sed groups received no exercise training. After long-term exercise, exosomal miRNAs of cerebrospinal fluid (CSF) were analyzed using high-throughput sequencing. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were employed for the differentially expressed miRNAs. Physical exercise improved the neurological function and attenuated the lesion expansion after stroke. In total, 41 differentially expressed miRNAs were screened for the GO and KEGG analysis. GO enriched terms were associated with the central nervous system, including cellular response to retinoic acid, vagus nerve morphogenesis, cellular response to hypoxia, dendritic cell chemotaxis, cell differentiation, and regulation of neuron death. Besides, these differentially expressed miRNAs were linked to the pathophysiological process of stroke, including axon guidance, NF-kappa B signaling pathway, thiamine metabolism, and MAPK signaling pathway according to KEGG analysis. In summary, exercise training significantly alleviated the neurological damage at both functional and structural levels. Moreover, the differentially expressed miRNAs regulating multiple signal pathways were potentially involved in the neuroprotective effects of physical exercise. Therefore, these miRNAs altered by physical exercise might represent the therapeutic strategy for cerebral ischemia.

Indexed as

AnimalsComputational BiologyExosomesGene OntologyInfarction, Middle Cerebral ArteryIschemic StrokeMaleMicroRNAsNeuroprotectionPhysical Conditioning, AnimalRatsRats, Sprague-DawleySignal TransductionMicroRNAsCerebral ischemiaExerciseExosomesFunctional enrichment analysismiRNAs

Identifiers

PMID33709257
OpenAlexW3133829952

What Socratic 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 Socratic graph.