ArticleBMC medical genomics2024
Identification of mitochondria-related biomarkers in childhood allergic asthma.
Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- E2F2 promotes asthmatic lung injury and airway remodeling by regulating NBR1-mediated epithelial-mesenchymal transition.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Lactobacillus rhamnosus regulates airway epithelial cell senescence through the ADCK5/PI3K/AKT signaling axis and alleviates airway inflammation in asthma.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Identification and validation of candidate biomarkers associated with mitochondria and 18 types of programmed cell death in trigeminal neuralgia: insights from transcriptome sequencing.Frontiers in molecular neuroscience · 2026Article
- Investigating the Mechanisms of Mitochondrial Dysfunction in Ischemic Stroke and Predicting Therapeutics Through Machine Learning and Integrated Bioinformatics.Current medicinal chemistry · 2026Article
- Systems-level analysis uncovers eight hub genes and a resveratrol-based therapeutic strategy for ischemic stroke.Frontiers in pharmacology · 2026Article
- The ADCK Kinase Family: Key Regulators of Bioenergetics and Mitochondrial Function and Their Implications in Human Cancers.International journal of molecular sciences · 2025Review
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4 authors.
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Abstract
backgroundThe mechanism of mitochondria-related genes (MRGs) in childhood allergic asthma (CAS) was unclear. The aim of this study was to find new biomarkers related to MRGs in CAS.
methodsThis research utilized two CAS-related datasets (GSE40888 and GSE40732) and extracted 40 MRGs from the MitoCarta3.0 Database. Initially, differential expression analysis was performed on CAS and control samples in the GSE40888 dataset to obtain the differentially expressed genes (DEGs). Differentially expressed MRGs (DE-MRGs) were obtained by overlapping the DEGs and MRGs. Protein protein interactions (PPI) network of DE-MRGs was created and the top 10 genes in the degree ranking of Maximal Clique Centrality (MCC) algorithm were defined as feature genes. Hub genes were obtained from the intersection genes from the Least absolute shrinkage and selection operator (LASSO) and EXtreme Gradient Boosting (XGBoost) algorithms. Additionally, the expression validation was conducted, functional enrichment analysis, immune infiltration analysis were finished, and transcription factors (TFs)-miRNA-mRNA regulatory network was constructed.
resultsA total of 1505 DEGs were obtained from the GSE40888, and 44 DE-MRGs were obtained. A PPI network based on these 44 DE-MRGs was created and revealed strong interactions between ADCK5 and MFN1, BNIP3 and NBR1. Four hub genes (NDUFAF7, MTIF3, MRPS26, and NDUFAF1) were obtained by taking the intersection of genes from the LASSO and XGBoost algorithms based on 10 signature genes which obtained from PPI. In addition, hub genes-based alignment diagram showed good diagnostic performance. The results of Gene Set Enrichment Analysis (GSEA) suggested that hub genes were closely related to mismatch repair. The B cells naive cells were significantly expressed between CAS and control groups, and MTIF3 was most strongly negatively correlated with B cells naive. In addition, the expression of MTIF3 and MRPS26 may have influenced the inflammatory response in CAS patients by affecting mitochondria-related functions. The quantitative real-time polymerase chain reaction (qRT‒PCR) results showed that four hub genes were all down-regulated in the CAS samples.
conclusionNDUFAF7, MTIF3, MRPS26, and NDUFAF1 were identified as an MRGs-related biomarkers in CAS, which provides some reference for further research on CAS.
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