ArticleScientific reports2018
A novel approach for correction of crosstalk effects in pathway analysis and its application in osteoporosis research.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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54 citing papers in PubMed, 61 citations in OpenAlex.
- A microbiota-substrate-metabolite-target network suggests AKT1-associated links between gut microbiota-derived metabolites and osteoporosis.International microbiology : the official journal of the Spanish Society for Microbiology · 2026Article
- Targeting Osteoporosis-Osteoarthritis Comorbidity: Multi-Omics Identification of SON and Exploration of Therapeutic Agents.International journal of molecular sciences · 2026Article
- CGRP Enhances the Regeneration of Bone Defects by Regulating Bone Marrow Mesenchymal Stem Cells Through Promoting ANGPTL4 Secretion by Bone Blood Vessels.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Development and experimental validation of an osteoporosis diagnosis model based on disulfidoptosis-related genes and immune infiltration analysis.Frontiers in immunology · 2026Article
- Mendelian Randomization Revealed Potential of mTOR Inhibitors for Treatment of Osteoporosis: Evidence From GWAS and Transcriptome Data.International journal of endocrinology · 2026Article
- Analysis of immune and autophagy-related genes and their regulatory mechanisms in osteoporosis patients post-menopause.Frontiers in endocrinology · 2026Article
- A Cross-Tissue Multiomics Analysis Reveals the Protective Role of TGFBR3 in Postmenopausal Osteoporosis.International journal of genomics · 2026Article
- Synergistic effects of phytochemical cocktail and aerobic exercise on mRNA and lncRNA networks modulating bone turnover in hypothyroid mice.BioImpacts : BI · 2026Article
- PBX1 promotes osteoporosis by upregulating HMGB1 to suppress osteogenic differentiation of bone marrow mesenchymal stem cells.Stem cell research & therapy · 2025Article
- Study on differentially expressed genes and pattern recognition receptors in osteoporosis based on bioinformatics analysis.Scientific reports · 2025Article
- Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.Scientific reports · 2025Article
- A Machine Learning Framework for Screening Plasma Cell-Associated Feature Genes to Estimate Osteoporosis Risk and Treatment Vulnerability.Biochemical genetics · 2025Article
- Identification and verification of oxidative stress-related genes in the diagnosis of osteoporosis.Scientific reports · 2025Article
- Bioinformatics analysis of oxidative phosphorylation-related differentially expressed genes in osteoporosis.European journal of medical research · 2025Article
- Comprehensive bioinformatics analysis reveals novel potential biomarkers associated with aging and mitochondria in osteoporosis.Scientific reports · 2025Article
- Comprehensive Analysis of the Role of Metabolic Features in Osteoporosis: A Multi-Omics Analysis.International journal of general medicine · 2025Article
- Exploring the various functions of PHD finger protein 20: beyond the unknown.Toxicological research · 2025Review
- Identification and validation of ubiquitination-associated genes of senile osteoporosis based on bioinformatics analysis.Frontiers in immunology · 2025Article
- Identification of shared lactylation-related gene signatures between osteoporosis and chronic kidney disease.Frontiers in cell and developmental biology · 2025Article
- Exploring causal correlations between inflammatory response-related genes and osteoporosis: a Multi-Omics Mendelian Randomization Study.Archives of medical science : AMS · 2025Article
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Authors and funding
6 authors at 1 institution in 1 country.
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Abstract
Osteoporosis is a prevalent bone metabolic disease and peripheral blood monocytes represent a major systemic cell type for bone metabolism. To identify the key dysfunctional pathways in osteoporosis, we performed pathway analyses on microarray data of monocytes from subjects with extremely high/low hip bone mineral density. We first performed a traditional pathway analysis for which different pathways were treated as independent. However, genes overlap among pathways will lead to "crosstalk" phenomenon, which may lead to false positive/negative results. Therefore, we applied correction techniques including a novel approach that considers the correlation among genes to adjust the crosstalk effects in the analysis. In traditional analysis, 10 pathways were found to be significantly associated with BMD variation. After correction for crosstalk effects, three of them remained significant. Moreover, the MAPK signaling pathway, which has been shown to be important for osteoclastogenesis, became significant only after the correction for crosstalk effects. We also identified a new module mainly consisting of genes present in mitochondria to be significant. In summary, we describe a novel method to correct the crosstalk effect in pathway analysis and found five key independent pathways involved in BMD regulation, which may provide a better understanding of biological functional networks in osteoporosis.
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