ArticleBMC nephrology2021
Comprehensive analysis of diabetic nephropathy expression profile based on weighted gene co-expression network analysis algorithm.
Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Transcriptome meta-analysis and validation to discovery of hub genes and pathways in focal and segmental glomerulosclerosis.BMC nephrology · 2024Pooled it
- Metabolome panels as potential noninvasive biomarkers for primary glomerulonephritis sub-types: meta-analysis of profiling metabolomics studies.Scientific reports · 2023Pooled it
- Mechanisms of IGF1R signaling in type 2 diabetes-related neurodegeneration and therapeutic implications of exercise.European journal of medical research · 2025Article
- In-silico identification of therapeutic targets in pancreatic ductal adenocarcinoma using WGCNA and Trader.Scientific reports · 2024Article
- Identification and Validation of Novel Metastasis-Related Immune Gene Signature in Breast Cancer.Breast cancer (Dove Medical Press) · 2024Article
- Interaction of Biochemical Processes between Chronic Obstructive Pulmonary Disease (COPD), Pulmonary Arterial Hypertension (PAH), and Coronavirus Disease 2019 (COVID-19).Polish journal of microbiology · 2023Article
- Article
- Editorial: A year in review: discussions in systems endocrinology.Frontiers in endocrinology · 2023Article
- Identification of a novel immune landscape signature as effective diagnostic markers related to immune cell infiltration in diabetic nephropathy.Frontiers in immunology · 2023Article
- Proteomic Analysis of Mouse Kidney Tissue Associates Peroxisomal Dysfunction with Early Diabetic Kidney Disease.Biomedicines · 2022Article
- Upregulation of T Cell Receptor Signaling Pathway Components in Gestational Diabetes Mellitus Patients: Joint Analysis of mRNA and circRNA Expression Profiles.Frontiers in endocrinology · 2021Article
- Metabolic Variation Dictates Cardiac Pathogenesis in Patients With Tetralogy of Fallot.Frontiers in pediatrics · 2021Article
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3 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic nephropathy (DN) is the major complication of diabetes mellitus, and leading cause of end-stage renal disease. The underlying molecular mechanism of DN is not yet completely clear. The aim of this study was to analyze a DN microarray dataset using weighted gene co-expression network analysis (WGCNA) algorithm for better understanding of DN pathogenesis and exploring key genes in the disease progression.
methodsThe identified differentially expressed genes (DEGs) in DN dataset GSE47183 were introduced to WGCNA algorithm to construct co-expression modules. STRING database was used for construction of Protein-protein interaction (PPI) networks of the genes in all modules and the hub genes were identified considering both the degree centrality in the PPI networks and the ranked lists of weighted networks. Gene ontology and Reactome pathway enrichment analyses were performed on each module to understand their involvement in the biological processes and pathways. Following validation of the hub genes in another DN dataset (GSE96804), their up-stream regulators, including microRNAs and transcription factors were predicted and a regulatory network comprising of all these molecules was constructed.
resultsAfter normalization and analysis of the dataset, 2475 significant DEGs were identified and clustered into six different co-expression modules by WGCNA algorithm. Then, DEGs of each module were subjected to functional enrichment analyses and PPI network constructions. Metabolic processes, cell cycle control, and apoptosis were among the top enriched terms. In the next step, 23 hub genes were identified among the modules in genes and five of them, including FN1, SLC2A2, FABP1, EHHADH and PIPOX were validated in another DN dataset. In the regulatory network, FN1 was the most affected hub gene and mir-27a and REAL were recognized as two main upstream-regulators of the hub genes.
conclusionsThe identified hub genes from the hearts of co-expression modules could widen our understanding of the DN development and might be of targets of future investigations, exploring their therapeutic potentials for treatment of this complicated disease.
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