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The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury
Zhao ZJ, Wei DP, Zheng RZ, Peng T, Xiao X, Li FS.. Computational and mathematical methods in medicine, 2021-04-16
Topic: Brain proteins, microglia and lab models
Traumatic brain injury (TBI) is a major cause of morbidity and mortality, both in adult and pediatric populations. However, the dynamic changes of gene expression profiles following TBI have not been fully understood. In this study, we identified the differentially expressed genes (DEGs) following TBI.
Key findings
- However, the dynamic changes of gene expression profiles following TBI have not been fully understood.
- In this study, we identified the differentially expressed genes (DEGs) following TBI.
- Remarkably, Serpina3n, Asf1b, Folr1, LOC100366216, Clec12a, Olr1, Timp1, Hspb1, Lcn2, and Spp1 were identified as the top 10 with the highest statistical significance.
- The weighted gene coexpression analysis (WGCNA) identified 12 functional modules from the DEGs, which showed specific expression patterns over time and were characterized by enrichment analysis.
Why it matters
This study analyzed gene expression changes after traumatic brain injury and identified functional gene modules. It is about traumatic brain injury biology and does not report a treatment, cure or prevention for Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 41/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 39 of the 96 points we could judge it on, which is 41 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Computational and mathematical methods in medicine) |
| Journal's citation record | 1 / 4 | Computational and Mathematical Methods in Medicine: journal h-index 100 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2021 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 4 / 7 | Cited 52 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 7.4 citations a year over 7 year(s) since 2021 |
| Impact for its field and year | 2 / 6 | Cited 2.3× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 2 / 4 | Cited 49 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | OpenAlex's profile for last-listed author Fusheng Li holds only 8 work(s), too few to judge a track record — left out of this score |
| Institution's track record | 1 / 3 | Shanghai Jiao Tong University: institution h-index 975 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 6 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 33953790) |
| Free to read | 2 / 2 | Free to read |
| Points | 39 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 39 of the 96 points we could judge it on is 41 out of 100. |
| Total | 41 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1155/2021/5511598
- PubMed: 33953790
- Original source →
- Free full text: Computational and Mathematical Methods in Medicine →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
APA 7th
Zhao, Z. J., Wei, D. P., Zheng, R. Z., Peng, T., Xiao, X., & Li, F. S. (2021). The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury. Computational and mathematical methods in medicine. https://doi.org/10.1155/2021/5511598
Vancouver
Zhao ZJ, Wei DP, Zheng RZ, Peng T, Xiao X, Li FS. The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury. Computational and mathematical methods in medicine. 2021. doi:10.1155/2021/5511598. PMID: 33953790.
BibTeX
@article{zhao2021-33953790,
author = {Zhao, Z. J. and Wei, D. P. and Zheng, R. Z. and Peng, T. and Xiao, X. and Li, F. S.},
title = {{The Gene Coexpression Analysis Identifies Functional Modules Dynamically Changed After Traumatic Brain Injury}},
journal = {Computational and mathematical methods in medicine},
year = {2021},
doi = {10.1155/2021/5511598},
pmid = {33953790},
url = {https://doi.org/10.1155/2021/5511598}
}
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.