ArticleScientific reports2019
Monocytes affect bone mineral density in pre- and postmenopausal women through ribonucleoprotein complex biogenesis by integrative bioinformatics analysis.
Article in Scientific reports, 2019. 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.
- Artificial Intelligence for Osteoporosis Diagnosis, Risk Prediction and Therapy: Current Advances, Clinical Challenges, and Future Perspectives.Clinical interventions in aging · 2026Review
- Preliminary lipidomics and transcriptomics reveals stage-specific dynamic metabolic patterns from menopause transition to postmenopause.Frontiers in endocrinology · 2026Article
- Integrative single-cell RNA-seq and ATAC-seq identifies transcriptional and epigenetic blueprint guiding osteoclastogenic trajectory.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2025Article
- A Machine Learning Framework for Screening Plasma Cell-Associated Feature Genes to Estimate Osteoporosis Risk and Treatment Vulnerability.Biochemical genetics · 2025Article
- Identification and Assessment of lncRNAs and mRNAs in PM2.5-Induced Hepatic Steatosis.International journal of molecular sciences · 2025Article
- Identification and Evaluation of Hub Long Non-Coding RNAs and mRNAs in PM2.5-Induced Lung Cell Injury.International journal of molecular sciences · 2025Article
- The heart-bone connection: relationships between myocardial infarction and osteoporotic fracture.American journal of physiology. Heart and circulatory physiology · 2024Review
- Single-cell RNAseq provides insight into altered immune cell populations in human fracture nonunions.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023Article
- Identification and Evaluation of Hub Long Noncoding RNAs and mRNAs in High Fat Diet Induced Liver Steatosis.Nutrients · 2023Article
- Weighted gene co-expression identification of CDKN1A as a hub inflammation gene following cardiopulmonary bypass in children with congenital heart disease.Frontiers in surgery · 2022Article
- Screening of Important Markers in Peripheral Blood Mononuclear Cells to Predict Female Osteoporosis Risk Using LASSO Regression Algorithm and SVM Method.Evolutionary bioinformatics online · 2022Article
- Consensus gene modules related to levels of bone mineral density (BMD) among smokers and nonsmokers.Bioengineered · 2021Article
- Article
- Identification of the Biomarkers and Pathological Process of Heterotopic Ossification: Weighted Gene Co-Expression Network Analysis.Frontiers in endocrinology · 2020Article
- Integrative Analyses of Genes Associated With Osteoporosis in CD16+ Monocyte.Frontiers in endocrinology · 2020Article
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7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Osteoporosis is one of the most common metabolic bone disease among pre- and postmenopausal women. As the precursors of osteoclast cells, circulating monocytes play important role in bone destruction and remodeling. The aim of study is to identify potential key genes and pathways correlated with the pathogenesis of osteoporosis. Then we construct novel estimation model closely linked to the bone mineral density (BMD) with key genes. Weighted gene co-expression network analysis (WGCNA) were conducted by collecting gene data set with 80 samples from gene expression omnibus (GEO) database. Besides, hub genes were identified by series of bioinformatics and machine learning algorithms containing protein-protein interaction (PPI) network, receiver operating characteristic curve and Pearson correlation. The direction of correlation coefficient were performed to screen for gene signatures with high BMD and low BMD. A novel BMD score system was put forward based on gene set variation analysis and logistic regression, which was validated by independent data sets. We identified six modules correlated with BMD. Finally 100 genes were identified as the high bone mineral density signatures while 130 genes were identified as low BMD signatures. Besides, we identified the significant pathway in monocytes: ribonucleoprotein complex biogenesis. What's more, our score validated it successfully.
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