ArticlePeerJ2022
Identifying changes in immune cells and constructing prognostic models using immune-related genes in post-burn immunosuppression.
Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- [A prospective randomized controlled study on the curative effects of enteral immunonutrition support therapy in adult burn patients at nutritional risk].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2022Trial
- Microbiotherapy: an emerging adjunct for burn wound healing.Frontiers in cellular and infection microbiology · 2026Review
- Transcriptomic profiling of burn patients reveals key lactylation-related genes and their molecular mechanisms.Frontiers in medicine · 2025Article
- Suppression of overactivated immunity in the early stage is the key to improve the prognosis in severe burns.Frontiers in immunology · 2024Article
- Molecular imbalance mechanism of skin and blood leucocytes in severe burn patients at different burn times.Annals of translational medicine · 2022Article
- A case of toxic epidermal necrolysis comorbid with severe burns.Acute medicine & surgeryArticle
- Systemic immune response of burns from the acute to chronic phase.Acute medicine & surgeryReview
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBurn patients are prone to infection as well as immunosuppression, which is a significant cause of death. Currently, there is a lack of prognostic biomarkers for immunosuppression in burn patients. This study was conducted to identify immune-related genes that are prognosis biomarkers in post-burn immunosuppression and potential targets for immunotherapy.
methodsWe downloaded the gene expression profiles and clinical data of 213 burn patients and 79 healthy samples from the Gene Expression Omnibus (GEO) database. Immune infiltration analysis was used to identify the proportion of circulating immune cells. Functional enrichment analyses were carried out to identify immune-related genes that were used to build miRNA-mRNA networks to screen key genes. Next, we carried out correlation analysis between immune cells and key genes that were then used to construct logistic regression models in GSE77791 and were validated in GSE19743. Finally, we determined the expression of key genes in burn patients using quantitative reverse transcription polymerase chain reaction (qRT-PCR).
resultsA total of 745 differently expressed genes were screened out: 299 were up-regulated and 446 were down-regulated. The number of Th-cells (CD4+) decreased while neutrophils increased in burn patients. The enrichment analysis showed that down-regulated genes were enriched in the T-cell activation pathway, while up-regulated genes were enriched in neutrophil activation response in burn patients. We screened out key genes (
conclusionWe found that
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