ArticleFrontiers in immunology2022
Intimate intertwining of the pathogenesis of hypoxia and systemic sclerosis: A transcriptome integration analysis.
Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Systemic sclerosis, main culprits and involved signaling pathways.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2025Review
- Molecular Pathogenesis of Connective Tissue Disease-Associated Pulmonary Arterial Hypertension: A Narrative Review.Biomolecules · 2025Review
- Review
- Systemic Sclerosis-Associated Pulmonary Arterial Hypertension: From Bedside to Bench and Back Again.International journal of molecular sciences · 2024Review
- Establishment and analysis of a novel diagnostic model for systemic juvenile idiopathic arthritis based on machine learning.Pediatric rheumatology online journal · 2024Article
- The role of hypoxic microenvironment in autoimmune diseases.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Systemic sclerosis (SSc) is an autoimmune disease caused by various pathogenic factors, including hypoxia. Hypoxia stimulates the production of the extracellular matrix to promote fibrosis. However, the integrated function and the underlying mechanism of hypoxia in SSc are unclear. Methods: In the present study, we used Agilent SurePrint G3 Human Gene Expression v3 for the transcriptional sequencing of fibroblasts with and without hypoxia to detect differentially expressed genes (DEGs) in hypoxia. We analyzed the results with the transcriptome data of SSc lesions (GSE95065) to select the co-DEGs. Then, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed on the basis of the co-DEGs using the R package ClusterProfiler, which showed that hypoxia and cross talk of hypoxia with other pathogenic factors are involved in the pathogenesis of SSc. Furthermore, we constructed a protein-protein interaction (PPI) network of co-DEGs and screened two significant functional expression modules. Results: We identified nine hub genes (ALDH1A1, EGF, NOX4, LYN, DNTT, PTGS2, TKT, ACAA2, and ALDH3A1). These genes affect the pentose phosphate pathway, oxidative stress, and lipolysis. Conclusion: Our study provides insights into the mechanisms underlying the effects of hypoxia on SSc pathogenesis, which will help to better understand SSc pathogenesis and develop new therapeutic strategies for SSc.
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