Evidence map›Paper›PMID 32190622›Full record

ArticleWorld journal of clinical cases2020

Repair mechanism of astrocytes and non-astrocytes in spinal cord injury.

Xiang-Yun Liu, Jian-Wei Guo, Jian-Qiang Kou, Yuan-Liang Sun, Xiu-Jun Zheng

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Recent Advances in the Treatment of Spinal Cord Injury.The archives of bone and joint surgery · 2024
    Review
  4. Article
  5. Article
  6. The role of lncRNA-MEG/miR-21-5p/PDCD4 axis in spinal cord injury.American journal of translational research · 2021
    Article
  7. Article
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

5 authors at 1 institution in 1 country.

Xiang-Yun LiuDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China.
Jian-Wei GuoDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China.
Jian-Qiang KouDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China.
Yuan-Liang SunDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China.
Xiu-Jun ZhengDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China. xiyi5148141@163.com.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal cord injury (SCI) is a destructive disease that incurs huge personal and social costs, and there is no effective treatment. Although the pathogenesis and treatment mechanism of SCI has always been a strong scientific focus, the pathogenesis of SCI is still under investigation.

aimTo determine the key genes based on the modularization of in-depth analysis, in order to identify the repair mechanism of astrocytes and non-astrocytes in SCI.

methodsFirstly, the differences between injured and non-injured spinal cord of astrocyte (HA), injured and non-injured spinal cord of non-astrocyte (FLOW), injured spinal cord of non-injured astrocyte (HA) and non-injured spinal cord of non-astrocyte (FLOW), and non-injured spinal cord of astrocyte (HA) and non-astrocyte (FLOW) were analyzed. The total number of differentially expressed genes was obtained by merging the four groups of differential results. Secondly, the genes were co-expressed and clustered. Then, the enrichment of GO function and KEGG pathway of module genes was analyzed. Finally, non-coding RNA, transcription factors and drugs that regulate module genes were predicted using hypergeometric tests.

resultsIn summary, we obtained 19 expression modules involving 5216 differentially expressed genes. Among them, miR-494, XIST and other genes were differentially expressed in SCI patients, and played an active regulatory role in dysfunction module, and these genes were recognized as the driving genes of SCI. Enrichment results showed that module genes were significantly involved in the biological processes of inflammation, oxidation and apoptosis. Signal pathways such as NF-kappa B/A20, AMPK and MAPK were significantly regulated. In addition, non-coding RNA pivot (including miR-136-5p and let-7d-5p,

conclusionOverall, this study uncovered a co-expression network of key genes involved in astrocyte and non-astrocyte regulation in SCI. These findings helped to reveal the core dysfunction modules, potential regulatory factors and driving genes of the disease, and to improve our understanding of its pathogenesis.

Indexed as

AstrocyteDysfunction moduleModule genesNon-astrocyteRepair mechanismSpinal cord injury

Identifiers

PMID32190622
PMCPMC7062612
OpenAlexW3010329350

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.