ArticleOncotarget2016
Core level regulatory network of osteoblast as molecular mechanism for osteoporosis and treatment.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Potential therapeutic targets of gastric cancer explored under endogenous network modeling of clinical data.Scientific reports · 2024Article
- Exploring the Mechanism of Icariin in Osteoporosis Based on a Network Pharmacology Strategy.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Let-7b downgrades CCND1 to repress osteogenic proliferation and differentiation of MC3T3-E1 cells: An implication in osteoporosis.The Kaohsiung journal of medical sciences · 2020Article
- Determination of vitamin D and analysis of risk factors for osteoporosis in patients with chronic pain.World journal of clinical cases · 2020Article
- miR-140-3p exhibits repressive functions on preosteoblast viability and differentiation by downregulating MCF2L in osteoporosis.In vitro cellular & developmental biology. Animal · 2020Article
- Medical Treatment for Osteoporosis: From Molecular to Clinical Opinions.International journal of molecular sciences · 2019Review
- Overexpression of CAV3 facilitates bone formation via the Wnt signaling pathway in osteoporotic rats.Endocrine · 2019Article
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Authors and funding
13 authors.
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Abstract
To develop and evaluate the long-term prophylactic treatment for chronic diseases such as osteoporosis requires a clear view of mechanism at the molecular and systems level. While molecular signaling pathway studies for osteoporosis are extensive, a unifying mechanism is missing. In this work, we provide experimental and systems-biology evidences that a tightly connected top-level regulatory network may exist, which governs the normal and osteoporotic phenotypes of osteoblast. Specifically, we constructed a hub-like interaction network from well-documented cross-talks among estrogens, glucocorticoids, retinoic acids, peroxisome proliferator-activated receptor, vitamin D receptor and calcium-signaling pathways. The network was verified with transmission electron microscopy and gene expression profiling for bone tissues of ovariectomized (OVX) rats before and after strontium gluconate (GluSr) treatment. Based on both the network structure and the experimental data, the dynamical modeling predicts calcium and glucocorticoids signaling pathways as targets for GluSr treatment. Modeling results further reveal that in the context of missing estrogen signaling, the GluSr treated state may be an outcome that is closest to the healthy state.
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