ArticleHereditas2020
Investigation of the gene co-expression network and hub genes associated with acute mountain sickness.
Article in Hereditas, 2020. 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, 7 citations in OpenAlex.
- Identifying causal genetic variants for high-altitude adaptation through blood eQTL analysis in plateau populations.Communications biology · 2026Article
- The correlation of DPM1 overexpression with immune infiltration and poor prognosis in hepatocellular carcinoma.Discover oncology · 2025Article
- Expressions, immune associations, and prognostic values of mitochondrial ribosomal protein MRPL3 in the pan cancer landscape.Discover oncology · 2025Article
- Transcriptomic signatures of severe acute mountain sickness during rapid ascent to 4,300 m.Frontiers in physiology · 2024Article
- Transcriptomic profiles of multiple organ dysfunction syndrome phenotypes in pediatric critical influenza.Frontiers in immunology · 2023Article
- Potential of ATP5MG to Treat Metabolic Syndrome-Associated Cardiovascular Diseases.Frontiers in cardiovascular medicine · 2022Article
- Abnormal Expression of Mitochondrial Ribosomal Proteins and Their Encoding Genes with Cell Apoptosis and Diseases.International journal of molecular sciences · 2020Review
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundAcute mountain sickness has become a heavily researched topic in recent years. However, the genetic mechanism and effects have not been elucidated. Our goal is to construct a gene co-expression network to identify the key modules and hub genes associated with high altitude hypoxia.
resultsThe GSE46480 dataset of rapidly transported healthy adults with acute mountain sickness was selected and analyzed by weighted gene co-expression network analysis (WGCNA) to construct a co-expression network. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the data set were carried out using Database for Annotation Visualization and Integrated Discovery (DAVID), and the hub genes were selected. We found that the turquoise module was most significantly correlated with acute mountain sickness. The functional enrichment analysis showed that the turquoise module was related to the apoptotic process, protein transport, and translation processes. The metabolic pathway analysis identified hsa03010:ribosome and hsa04144:endocytosis as the most important pathways in the turquoise module. Ten top 10 hub genes (MRPL3, PSMC6, AIMP1, HAT1, DPY30, ATP5L, COX7B, UQCRB, DPM1, and COMMD6) for acute mountain sickness were identified.
conclusionOne module and 10 hub genes were identified, which were related to acute mountain sickness. The reference provided by this module may help to elucidate the mechanism of acute mountain sickness. In addition, the hub genes may be used in the future as a biomarker and therapeutic target for accurate diagnosis and treatment.
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