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The postmenopausal period in women is associated with decreased circulating estrogen levels, which accelerate bone loss and increase the risk of fracture. Here, we gained novel insight into the molecular mechanisms mediating bone loss in ovariectomized (OVX) mice, a model of human menopause, using co-expression network analysis. Specifically, we generated a co-expression network consisting of 53 gene modules using expression profiles from intact and OVX mice from a panel of inbred strains. The expression of four modules was altered by OVX, including module 23 whose expression was decreased by OVX across all strains. Module 23 was enriched for genes involved in the response to oxidative stress, a process known to be involved in OVX-induced bone loss. Additionally, module 23 homologs were co-expressed in human bone marrow. Alpha synuclein (Snca) was one of the most highly connected "hub" genes in module 23. We characterized mice deficient in Snca and observed a 40% reduction in OVX-induced bone loss. Furthermore, protection was associated with the altered expression of specific network modules, including module 23. In summary, the results of this study suggest that Snca regulates bone network homeostasis and ovariectomy-induced bone loss.
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http://dx.doi.org/10.1038/srep29475 | DOI Listing |
Eur J Orthop Surg Traumatol
September 2025
All India Institute of Medical Sciences Bhubaneswar, Bhubaneswar, India.
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View Article and Find Full Text PDFCurr Sports Med Rep
September 2025
Department of Orthopaedics, University of North Carolina School of Medicine, Chapel Hill, NC.
Glenohumeral instability is a common injury affecting contact and collision athletes. Male sex, younger age at time of first dislocation, and contact sports participation are risk factors for recurrent instability. MRI is the gold standard to evaluate soft tissue structures, while CT is beneficial in quantifying glenoid bone loss and identifying on-track and off-track Hill-Sachs lesions.
View Article and Find Full Text PDFAdv Mater
September 2025
State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.
Bone defect therapy frequently encounters bacterial infections and chronic inflammation, which impair bone regeneration and threaten implant stability. Iron oxide nanoparticles have attracted attention due to cost-effectiveness, biocompatibility, and metabolic safety. However, iron oxide nanoparticles still struggle to balance low-temperature efficient antibacterial activity, effective immunomodulation, and bone regeneration.
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View Article and Find Full Text PDFJ Oral Biol Craniofac Res
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Neura Integrasi Solusi, Jl. Kebun Raya No. 73, Rejowinangun, Kotagede, Yogyakarta, 55171, Indonesia.
Background: Periodontal disease is an inflammatory condition causing chronic damage to the tooth-supporting connective tissues, leading to tooth loss in adults. Diagnosing periodontitis requires clinical and radiographic examinations, with panoramic radiographs crucial in identifying and assessing its severity and staging. Convolutional Neural Networks (CNNs), a deep learning method for visual data analysis, and Dense Convolutional Networks (DenseNet), which utilize direct feed-forward connections between layers, enable high-performance computer vision tasks with reduced computational demands.
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