Evidence map›Paper›PMID 33229721›Full record

ArticleNeural regeneration research2021

Identification of four differentially expressed genes associated with acute and chronic spinal cord injury based on bioinformatics data.

Su-Ping Niu, Ya-Jun Zhang, Na Han, Xiao-Feng Yin, Dian-Ying Zhang, Yu-Hui Kou

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 20 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

6 authors at 2 institutions in 2 countries.

Su-Ping NiuKey Laboratory of Trauma and Neural Regeneration (Peking University), Ministry of Education; Office of Academic Research, Peking University People's Hospital, Beijing, China.
Ya-Jun ZhangKey Laboratory of Trauma and Neural Regeneration (Peking University), Ministry of Education; Trauma Medicine Center, Peking University People's Hospital, Beijing, China.
Na HanKey Laboratory of Trauma and Neural Regeneration (Peking University), Ministry of Education; Office of Academic Research, Peking University People's Hospital, Beijing, China.
Xiao-Feng YinKey Laboratory of Trauma and Neural Regeneration (Peking University), Ministry of Education; Department of Trauma and Orthopedics, Peking University People's Hospital, Beijing, China.
Dian-Ying ZhangKey Laboratory of Trauma and Neural Regeneration (Peking University), Ministry of Education; Department of Trauma and Orthopedics, Peking University People's Hospital, Beijing, China.
Yu-Hui KouKey Laboratory of Trauma and Neural Regeneration (Peking University), Ministry of Education; Department of Trauma and Orthopedics, Peking University People's Hospital, Beijing, China.
Peking University People's Hospital · CNMinistry of Education · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex pathological changes occur during the development of spinal cord injury (SCI), and determining the underlying molecular events that occur during SCI is necessary for the development of promising molecular targets and therapeutic strategies. This study was designed to explore differentially expressed genes (DEGs) associated with the acute and chronic stages of SCI using bioinformatics analysis. Gene expression profiles (GSE45006, GSE93249, and GSE45550) were downloaded from the Gene Expression Omnibus database. SCI-associated DEGs from rat samples were identified, and Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed. In addition, a protein-protein interaction network was constructed. Approximately 66 DEGs were identified in GSE45550 between 3-14 days after SCI, whereas 2418 DEGs were identified in GSE45006 1-56 days after SCI. Moreover, 1263, 195, and 75 overlapping DEGs were identified between these two expression profiles, 3, 7/8, and 14 days after SCI, respectively. Additionally, 16 overlapping DEGs were obtained in GSE45006 1-14 days after SCI, including Pank1, Hn1, Tmem150c, Rgd1309676, Lpl, Mdh1, Nnt, Loc100912219, Large1, Baiap2, Slc24a2, Fundc2, Mrps14, Slc16a7, Obfc1, and Alpk3. Importantly, 3882 overlapping DEGs were identified in GSE93249 1-6 months after SCI, including 3316 protein-coding genes and 567 long non-coding RNA genes. A comparative analysis between GSE93249 and GSE45006 resulted in the enrichment of 1135 overlapping DEGs. The significant functions of these 1135 genes were correlated with the response to the immune effector process, the innate immune response, and cytokine production. Moreover, the biological processes and KEGG pathways of the overlapping DEGs were significantly enriched in immune system-related pathways, osteoclast differentiation, the nuclear factor-κB signaling pathway, and the chemokine signaling pathway. Finally, an analysis of the overlapping DEGs associated with both acute and chronic SCI, assessed using the expression profiles GSE93249 and GSE45006, identified four overlapping DEGs: Slc16a7, Alpk3, Lpl and Nnt. These findings may be useful for revealing the biological processes associated with SCI and the development of targeted intervention strategies.

Indexed as

bioinformaticsdifferential expressionfactorgeneimmune responseinjurypathwaysproteinspinal cord

Identifiers

PMID33229721
PMCPMC8178775
OpenAlexW3099116604

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.