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Wei F, Hughes M, Omer M, Ngo C, Pugazhendhi AS, Kolanthai E, Aceto M, Ghattas Y, Razavi M, Kean TJ, Seal S, Coathup M. A Multifunctional Therapeutic Strategy Using P7C3 as A Countermeasure Against Bone Loss and Fragility in An Ovariectomized Rat Model of Postmenopausal Osteoporosis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308698. [PMID: 38477537 PMCID: PMC11151083 DOI: 10.1002/advs.202308698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Indexed: 03/14/2024]
Abstract
By 2060, an estimated one in four Americans will be elderly. Consequently, the prevalence of osteoporosis and fragility fractures will also increase. Presently, no available intervention definitively prevents or manages osteoporosis. This study explores whether Pool 7 Compound 3 (P7C3) reduces progressive bone loss and fragility following the onset of ovariectomy (OVX)-induced osteoporosis. Results confirm OVX-induced weakened, osteoporotic bone together with a significant gain in adipogenic body weight. Treatment with P7C3 significantly reduced osteoclastic activity, bone marrow adiposity, whole-body weight gain, and preserved bone area, architecture, and mechanical strength. Analyses reveal significantly upregulated platelet derived growth factor-BB and leukemia inhibitory factor, with downregulation of interleukin-1 R6, and receptor activator of nuclear factor kappa-B (RANK). Together, proteomic data suggest the targeting of several key regulators of inflammation, bone, and adipose turnover, via transforming growth factor-beta/SMAD, and Wingless-related integration site/be-catenin signaling pathways. To the best of the knowledge, this is first evidence of an intervention that drives against bone loss via RANK. Metatranscriptomic analyses of the gut microbiota show P7C3 increased Porphyromonadaceae bacterium, Candidatus Melainabacteria, and Ruminococcaceae bacterium abundance, potentially contributing to the favorable inflammatory, and adipo-osteogenic metabolic regulation observed. The results reveal an undiscovered, and multifunctional therapeutic strategy to prevent the pathological progression of OVX-induced bone loss.
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Affiliation(s)
- Fei Wei
- Biionix ClusterUniversity of Central FloridaOrlandoFL82816USA
| | - Megan Hughes
- School of BiosciencesCardiff UniversityWalesCF10 3ATUK
| | - Mahmoud Omer
- Biionix ClusterUniversity of Central FloridaOrlandoFL82816USA
| | - Christopher Ngo
- Biionix ClusterUniversity of Central FloridaOrlandoFL82816USA
- College of MedicineUniversity of Central FloridaOrlandoFL32827USA
| | | | - Elayaraja Kolanthai
- Advanced Materials Processing and Analysis Centre, Nanoscience Technology Center (NSTC)University of Central FloridaOrlandoFL32826USA
| | - Matthew Aceto
- College of MedicineUniversity of Central FloridaOrlandoFL32827USA
| | - Yasmine Ghattas
- College of MedicineUniversity of Central FloridaOrlandoFL32827USA
| | - Mehdi Razavi
- Biionix ClusterUniversity of Central FloridaOrlandoFL82816USA
- College of MedicineUniversity of Central FloridaOrlandoFL32827USA
| | - Thomas J Kean
- Biionix ClusterUniversity of Central FloridaOrlandoFL82816USA
- College of MedicineUniversity of Central FloridaOrlandoFL32827USA
| | - Sudipta Seal
- Biionix ClusterUniversity of Central FloridaOrlandoFL82816USA
- College of MedicineUniversity of Central FloridaOrlandoFL32827USA
- Advanced Materials Processing and Analysis Centre, Nanoscience Technology Center (NSTC)University of Central FloridaOrlandoFL32826USA
| | - Melanie Coathup
- Biionix ClusterUniversity of Central FloridaOrlandoFL82816USA
- College of MedicineUniversity of Central FloridaOrlandoFL32827USA
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Protein tyrosine phosphatases in skeletal development and diseases. Bone Res 2022; 10:10. [PMID: 35091552 PMCID: PMC8799702 DOI: 10.1038/s41413-021-00181-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/29/2021] [Accepted: 09/14/2021] [Indexed: 12/24/2022] Open
Abstract
Skeletal development and homeostasis in mammals are modulated by finely coordinated processes of migration, proliferation, differentiation, and death of skeletogenic cells originating from the mesoderm and neural crest. Numerous molecular mechanisms are involved in these regulatory processes, one of which is protein posttranslational modifications, particularly protein tyrosine phosphorylation (PYP). PYP occurs mainly through the action of protein tyrosine kinases (PTKs), modifying protein enzymatic activity, changing its cellular localization, and aiding in the assembly or disassembly of protein signaling complexes. Under physiological conditions, PYP is balanced by the coordinated action of PTKs and protein tyrosine phosphatases (PTPs). Dysregulation of PYP can cause genetic, metabolic, developmental, and oncogenic skeletal diseases. Although PYP is a reversible biochemical process, in contrast to PTKs, little is known about how this equilibrium is modulated by PTPs in the skeletal system. Whole-genome sequencing has revealed a large and diverse superfamily of PTP genes (over 100 members) in humans, which can be further divided into cysteine (Cys)-, aspartic acid (Asp)-, and histidine (His)-based PTPs. Here, we review current knowledge about the functions and regulatory mechanisms of 28 PTPs involved in skeletal development and diseases; 27 of them belong to class I and II Cys-based PTPs, and the other is an Asp-based PTP. Recent progress in analyzing animal models that harbor various mutations in these PTPs and future research directions are also discussed. Our literature review indicates that PTPs are as crucial as PTKs in supporting skeletal development and homeostasis.
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Zhang L, Liu YZ, Zeng Y, Zhu W, Zhao YC, Zhang JG, Zhu JQ, He H, Shen H, Tian Q, Deng FY, Papasian CJ, Deng HW. Network-based proteomic analysis for postmenopausal osteoporosis in Caucasian females. Proteomics 2015; 16:12-28. [DOI: 10.1002/pmic.201500005] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 09/06/2015] [Accepted: 10/28/2015] [Indexed: 01/18/2023]
Affiliation(s)
- Lan Zhang
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Yao-Zhong Liu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Yong Zeng
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
- College of Life Sciences and Bioengineering; Beijing Jiaotong University; Beijing P. R. China
| | - Wei Zhu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Ying-Chun Zhao
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Ji-Gang Zhang
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Jia-Qiang Zhu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Hao He
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Hui Shen
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Qing Tian
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
| | - Fei-Yan Deng
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
- Laboratory of Proteins and Proteomics, Department of Epidemiology; Soochow University School of Public Health; Suzhou P. R. China
| | - Christopher J. Papasian
- Department of Basic Medical Sciences, School of Medicine; University of Missouri - Kansas City; MO USA
| | - Hong-Wen Deng
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine; Tulane University; New Orleans LA USA
- College of Life Sciences and Bioengineering; Beijing Jiaotong University; Beijing P. R. China
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Li SM, Yang HJ, Zhou DX, Liu MY. WITHDRAWN: Associations between polymorphisms of HLA-B gene and postmenopausal osteoporosis in Chinese Han population. Hum Immunol 2014:S0198-8859(14)00172-4. [PMID: 24952211 DOI: 10.1016/j.humimm.2014.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Revised: 06/05/2014] [Accepted: 06/09/2014] [Indexed: 10/25/2022]
Abstract
This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy.
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Affiliation(s)
- Shu-Ming Li
- Department of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - Hong-Juan Yang
- Support Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
| | - Dang-Xia Zhou
- Department of Pathology, Medical School, Xi'an Jiaotong University, Xi'an 710061, China; Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi'an 710061, China.
| | - Meng-Ying Liu
- Department of Pathology, Medical School, Xi'an Jiaotong University, Xi'an 710061, China
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Li SM, Zhou DX, Liu MY. Associations between polymorphisms of HLA-B gene and postmenopausal osteoporosis in Chinese Han population. Int J Immunogenet 2014; 41:324-9. [PMID: 24917365 DOI: 10.1111/iji.12130] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2014] [Accepted: 04/27/2014] [Indexed: 11/28/2022]
Abstract
Osteoporosis is a systemic skeletal disease, which is more prevalent in postmenopausal women. Osteoporosis likely develops beginning with genetic risk. This study explored the relationships between polymorphisms of HLA-B gene and postmenopausal osteoporosis in a Chinese Han population. Polymerase chain reaction sequence-based typing (PCR-SBT) method was used for DNA typing at HLA-B locus in 70 patients with postmenopausal osteoporosis and 73 healthy controls in female Han population of Shaanxi Province, situated in north-western China. We found that 40 HLA-B alleles in postmenopausal osteoporosis patients and control subjects, respectively. Furthermore, the frequency of HLA-B* 3501 allele was significantly higher in postmenopausal osteoporosis patients than in the control group (P = 0.033), and the relative risk was 7.632 (95% CI: 0.927-62.850). Our results suggest that HLA-B* 3501 was likely an important risk factor for postmenopausal osteoporosis. As different populations have different HLA polymorphisms, further investigation of the relationship of various HLA genes and osteoporosis with larger sample size is still necessary in the future.
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Affiliation(s)
- S-M Li
- Department of Orthopedics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Wu S, Liu Y, Zhang L, Han Y, Lin Y, Deng HW. Genome-wide approaches for identifying genetic risk factors for osteoporosis. Genome Med 2013; 5:44. [PMID: 23731620 PMCID: PMC3706967 DOI: 10.1186/gm448] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
Osteoporosis, the most common type of bone disease worldwide, is clinically characterized by low bone mineral density (BMD) and increased susceptibility to fracture. Multiple genetic and environmental factors and gene-environment interactions have been implicated in its pathogenesis. Osteoporosis has strong genetic determination, with the heritability of BMD estimated to be as high as 60%. More than 80 genes or genetic variants have been implicated in risk of osteoporosis by hypothesis-free genome-wide studies. However, these genes or genetic variants can only explain a small portion of BMD variation, suggesting that many other genes or genetic variants underlying osteoporosis risk await discovery. Here, we review recent progress in genome-wide studies of osteoporosis and discuss their implications for medicine and the major challenges in the field.
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Affiliation(s)
- Shuyan Wu
- The Center for System Biomedical Research, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Rd, Yangpu district, Shanghai, 200093, China
| | - Yongjun Liu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St, New Orleans, LA 70112, USA
| | - Lei Zhang
- The Center for System Biomedical Research, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Rd, Yangpu district, Shanghai, 200093, China ; Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St, New Orleans, LA 70112, USA
| | - Yingying Han
- The Center for System Biomedical Research, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Rd, Yangpu district, Shanghai, 200093, China
| | - Yong Lin
- The Center for System Biomedical Research, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Rd, Yangpu district, Shanghai, 200093, China
| | - Hong-Wen Deng
- The Center for System Biomedical Research, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, No. 516 Jungong Rd, Yangpu district, Shanghai, 200093, China ; Center for Bioinformatics and Genomics, Department of Biostatistics and Bioinformatics, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St, New Orleans, LA 70112, USA
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