Evidence map›Paper›PMID 37063869›Full record

ArticleFrontiers in immunology2023

Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients.

Lixia Huang, Wei Qin, Zirui Guo, Xiaoyu Li, Fajiu Li, Xiang Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 4 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 3 institutions in 2 countries.

Lixia HuangDepartment of Immunology, School of Medicine, Jianghan University, Wuhan, China.
Wei QinDepartment of Immunology, School of Medicine, Jianghan University, Wuhan, China.
Zirui GuoDepartment of Materials (D-MATL), ETH Zurich, Zurich, Switzerland.
Xiaoyu LiDepartment of Immunology, School of Medicine, Jianghan University, Wuhan, China.
Fajiu LiDepartment of Pulmonary and Critical Care Medicine, Affiliated Hospital of Jianghan University, Wuhan, China.
Xiang WangTianyuan Translational Medicine R&D Team, School of Medicine, Jianghan University, Wuhan, China.
Jianghan University · CNWuhan Sixth Hospital · CNETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although many studies have demonstrated the existing neurological symptoms in COVID-19 patients, the mechanisms are not clear until now. This study aimed to figure out the critical molecular and immune infiltration situations in the brain of elderly COVID-19 patients. Methods: GSE188847 was used for the differential analysis, WGCNA, and immune infiltration analysis. We also performed GO, KEGG, GSEA, and GSVA for the enrich analysis. Results: 266 DEGs, obtained from the brain samples of COVID-19 and non-COVID-19 patients whose ages were over 70 years old, were identified. GO and KEGG analysis revealed the enrichment in synapse and neuroactive ligand-receptor interaction in COVID-19 patients. Further analysis found that asthma and immune system signal pathways were significant changes based on GSEA and GSVA. Immune infiltration analysis demonstrated the imbalance of CD8+ T cells, neutrophils, and HLA. The MEpurple module genes were the most significantly different relative to COVID-19. Finally, RPS29, S100A10, and TIMP1 were the critical genes attributed to the progress of brain damage. Conclusion: RPS29, S100A10, and TIMP1 were the critical genes in the brain pathology of COVID-19 in elderly patients. Our research has revealed a new mechanism and a potential therapeutic target.

Indexed as

AsthmaBrain InjuriesCOVID-19AgedBrainGenes, RegulatorHumansbrain damageCOVID-19long COVIDlung-brain axisRPS 29S100A10sequelaeTIMP 1

Identifiers

PMID37063869
PMCPMC10102454
OpenAlexW4362518872

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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.