ArticleEndocrine2020
Identification of common key genes and pathways between type 1 diabetes and multiple sclerosis using transcriptome and interactome analysis.
Article in Endocrine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
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- Comprehensive analysis of PPPCs family reveals the clinical significance of PPP1CA and PPP4C in breast cancer.Bioengineered · 2022Article
- RNA Sequencing of CD4Journal of molecular neuroscience : MN · 2021Article
- Review
- Elucidate multidimensionality of type 1 diabetes mellitus heterogeneity by multifaceted information.Scientific reports · 2021Article
- PathExNET: A tool for extracting pathway expression networks from gene expression statistics.Computational and structural biotechnology journal · 2021Article
- The twin cytokines interleukin-34 and CSF-1: masterful conductors of macrophage homeostasis.Theranostics · 2021Review
- Mapping T Cell Responses to Native and Neo-Islet Antigen Epitopes in at Risk and Type 1 Diabetes Subjects.Frontiers in immunology · 2021Article
- Assessment of Post-Radiation Time Effect on Gene Expression Profiles ofJournal of lasers in medical sciences · 2021Article
- Exploring the Reversible Effects of UV Laser Radiation on the Gene Expression Profiles ofJournal of lasers in medical sciences · 2021Article
- Centrality Analysis of Protein-Protein Interaction Networks and Molecular Docking Prioritize Potential Drug-Targets in Type 1 Diabetes.Iranian journal of pharmaceutical research : IJPR · 2020Article
- Immunological reactions by T cell and regulation of crucial genes in treated celiac disease patients.Gastroenterology and hepatology from bed to bench · 2020Article
- Gene Activation as a Cell Protection Mechanism Against Gamma-Ray radiation.Journal of lasers in medical sciences · 2020Article
- Exploring the Role of MicroRNAs and Associated Proteins in Multiple Sclerosis.Basic and clinical neuroscienceArticle
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeType 1 diabetes (T1D) and multiple sclerosis (MS) are classified as T cell-mediated autoimmune diseases. Although convergent evidence proposed common genetic architecture for autoimmune diseases, it remains a challenge to identify them. This study aimed to determine common gene signature and pathways in T1D and MS via systems biology approach.
methodsGene expression profiles of peripheral blood mononuclear cells (PBMCs) and pancreatic-β cells in T1D as well as PBMCs and cerebrospinal fluid (CSF) in MS were analyzed in our previous published data, and differential expressed genes were integrated with protein-protein interactions data to construct Query-Query PPI (QQPPI) networks. In this study, QQPPI networks were further analyzed to investigate more central genes, functional modules and complexes shared in T1D and MS progression. Lastly, the interaction of common genes with drugs was also explored.
resultsSeveral cytokines such as IL-23A, IL-32, IL-34, and IL-37 tend to be differentially expressed in both diseases. In addition, PSMA1, MYC, SRPK1, YBX1, HNRNPM, NF-κB2, IKBKE, RAC1, FN1, ARRB2, ESR1, HSP90AB1, and PPP1CA were common high central genes in QQPPI networks corresponding to each disease. Proteasome, spliceosome, immune responses, apoptosis, cellular communication/signaling transduction mechanism, interaction with environment, and activity of intercellular mediators were shared biological processes in T1D and MS. Finally, azathioprine, melatonin, resveratrol, and geldanamycin identified as prioritized drugs for the treatment of patients with T1D and MS.
conclusionsThis study represented novel key genes and pathways shared between T1D and MS, which may facilitate the identification of potential therapeutic targets in these diseases.
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