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Katamesh BE, Futela P, Vincent A, Thilagar B, Whipple M, Hassan AR, Abuelazm M, Nanda S, Anstine C, Singla A. Navigating the Proteomic Landscape of Menopause: A Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1473. [PMID: 39336514 PMCID: PMC11434514 DOI: 10.3390/medicina60091473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 08/23/2024] [Accepted: 08/31/2024] [Indexed: 09/30/2024]
Abstract
Background and Objectives: Proteomics encompasses the exploration of protein composition, regulation, function, and pathways. Its influence spans diverse clinical fields and holds promise in addressing various women's health conditions, including cancers, osteoporosis, and cardiovascular disorders. However, no comprehensive summary of proteomics and menopausal health exists. Our objective was to summarize proteomic profiles associated with diseases and disorders in peri- and postmenopausal women. Materials and Methods: We conducted a comprehensive search of databases including PubMed, Google Scholar, the Cochrane database, Elsevier, and ScienceDirect until 2022. A total of 253 studies were identified, and 41 studies met the inclusion criteria to identify data of interest. These included the study design, disease, and proteomics/proteins of significance, as described by the authors. Results: The 41 studies covered diverse areas, including bone disorders (10 studies), cardiovascular diseases (5 studies), oncological malignancies (10 studies), and various conditions, such as obesity, nonalcoholic liver disease, the effects of hormone replacement therapy, and neurological diseases (16 studies). The results of our study indicate that proteomic profiles correlate with heart disease in peri- and postmenopausal women, with distinct sex differences. Furthermore, proteomic profiles significantly differ between women with and without osteoporosis. Additionally, patients with breast, ovarian, and endometrial cancer exhibit notable variations in proteomic profiles compared to those without these conditions. Conclusions: Proteomics has the potential to enhance risk assessment and disease monitoring in peri- and postmenopausal women. By analyzing unique protein profiles, clinicians can identify individuals with heightened susceptibility to specific diseases or those already affected by established conditions. This review suggests that there is sufficient preliminary data related to proteomics in peri- and postmenopausal women for early identification of cardiovascular disease, osteoporosis, and cancers, disease monitoring, and tailoring individualized therapies. Rigorous validation studies involving large populations are essential before drawing definitive conclusions regarding the clinical applicability of proteomic findings.
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Affiliation(s)
- Basant E Katamesh
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Pragyat Futela
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
- Department of Internal Medicine, Metro Health Medical Center, Cleveland, OH 44109, USA
| | - Ann Vincent
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Bright Thilagar
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Mary Whipple
- School of Nursing, University of Minnesota, Minneapolis, MN 55455, USA
| | - Abdul Rhman Hassan
- Department of Ophthalmology, Wayne State University School of Medicine, Detroit, MI 48201, USA
| | | | - Sanjeev Nanda
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Christopher Anstine
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
| | - Abhinav Singla
- Division of General Internal Medicine, Mayo Clinic, Rochester, MN 55905, USA
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Qiao Y, Gu M, Wang X, Chen R, Kong L, Li S, Li J, Liu Q, Hou S, Wang Z. Revealing Dynamics of Protein Phosphorylation: A Study on the Cashmere Fineness Disparities in Liaoning Cashmere Goats. Mol Biotechnol 2024:10.1007/s12033-024-01244-0. [PMID: 39117978 DOI: 10.1007/s12033-024-01244-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 07/18/2024] [Indexed: 08/10/2024]
Abstract
Exploring the landscape of protein phosphorylation, this investigation focuses on skin samples from LCG (Liaoning Cashmere Goats), characterized by different levels of cashmere fineness. Employing LC-MS/MS technology, we meticulously scrutinized FT-LCG (fine-type Liaoning Cashmere Goats) and CT-LCG (coarse-type Liaoning Cashmere Goats). Identifying 512 modified proteins, encompassing 1368 phosphorylated peptide segments and 1376 quantifiable phosphorylation sites, our exploration further revealed consistent phosphorylation sites in both groups. Analysis of phosphorylated peptides unveiled kinase substrates, prominently featuring Protein Kinase C, Protein Kinase B and MAPK3-MAPK1-MAPK7-NLK-group. Differential analysis spotlighted 28 disparate proteins, comprising six upregulated and twenty-two downregulated. Cluster analysis showcased the robust clustering efficacy of the two sample groups. GO (Gene Ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) enrichment analyses underscored the significance of the purine metabolism pathway, suggesting its pivotal role in modulating cashmere fineness in LCG. Notably, through differential protein analysis, two crucial proteins were identified: HSL-X (hormone-sensitive lipase isoform X1) and KPRP (keratinocyte proline-rich protein). Further evidence supports LIPE and KPRP as key genes regulating cashmere fineness, paving the way for promising avenues in further research. These findings not only contribute to a nuanced understanding of protein-level dynamics in cashmere but also provide a theoretical foundation for the selective breeding of superior Liaoning Cashmere Goat strands.
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Affiliation(s)
- Yanjun Qiao
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Xiaowei Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Lingchao Kong
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Shuaitong Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Jiaqi Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Qingkun Liu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Sibing Hou
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
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Becerra-Cervera A, Argoty-Pantoja AD, Aparicio-Bautista DI, López-Montoya P, Rivera-Paredez B, Hidalgo-Bravo A, Velázquez-Cruz R. Proteomic Biomarkers Associated with Low Bone Mineral Density: A Systematic Review. Int J Mol Sci 2024; 25:7526. [PMID: 39062769 PMCID: PMC11277462 DOI: 10.3390/ijms25147526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/07/2024] [Accepted: 07/07/2024] [Indexed: 07/28/2024] Open
Abstract
Osteoporosis is a globally relevant public health issue. Our study aimed to summarize the knowledge on the proteomic biomarkers for low bone mineral density over the last years. We conducted a systematic review following the PRISMA guidelines; the scoured databases were PubMed, Web of Sciences, Scopus, and EBSCO, from inception to 2 June 2023. A total of 610 relevant studies were identified and 33 were assessed for eligibility. Finally, 29 studies met the criteria for this systematic review. The risk of bias was evaluated using the Joanna Briggs Institute Critical Appraisal Checklist tool. From the studies selected, 154 proteins were associated with changes of bone mineral density, from which only 10 were reported in at least two articles. The protein-protein network analysis indicated potential biomarkers involved in the skeletal system, immune system process, regulation of protein metabolic process, regulation of signaling, transport, cellular component assembly, cell differentiation, hemostasis, and extracellular matrix organization. Mass spectrometry-based proteomic profiling has allowed the discovery of new biomarkers with diagnostic potential. However, it is necessary to compare and validate the potential biomarkers in different populations to determine their association with bone metabolism and evaluate their translation to the clinical management of osteoporosis.
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Affiliation(s)
- Adriana Becerra-Cervera
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
- National Council of Humanities, Science and Technology (CONAHCYT), Mexico City 03940, Mexico
| | - Anna D. Argoty-Pantoja
- Research Center in Policies, Population and Health, School of Medicine, National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico; (A.D.A.-P.); (B.R.-P.)
| | - Diana I. Aparicio-Bautista
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
| | - Priscilla López-Montoya
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
| | - Berenice Rivera-Paredez
- Research Center in Policies, Population and Health, School of Medicine, National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico; (A.D.A.-P.); (B.R.-P.)
| | - Alberto Hidalgo-Bravo
- Department of Genomic Medicine, National Institute of Rehabilitation, Mexico City 14389, Mexico;
| | - Rafael Velázquez-Cruz
- Genomics of Bone Metabolism Laboratory, National Institute of Genomic Medicine (INMEGEN), Mexico City 14610, Mexico; (A.B.-C.); (D.I.A.-B.); (P.L.-M.)
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Wang J, Xue M, Hu Y, Li J, Li Z, Wang Y. Proteomic Insights into Osteoporosis: Unraveling Diagnostic Markers of and Therapeutic Targets for the Metabolic Bone Disease. Biomolecules 2024; 14:554. [PMID: 38785961 PMCID: PMC11118602 DOI: 10.3390/biom14050554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 04/25/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024] Open
Abstract
Osteoporosis (OP), a prevalent skeletal disorder characterized by compromised bone strength and increased susceptibility to fractures, poses a significant public health concern. This review aims to provide a comprehensive analysis of the current state of research in the field, focusing on the application of proteomic techniques to elucidate diagnostic markers and therapeutic targets for OP. The integration of cutting-edge proteomic technologies has enabled the identification and quantification of proteins associated with bone metabolism, leading to a deeper understanding of the molecular mechanisms underlying OP. In this review, we systematically examine recent advancements in proteomic studies related to OP, emphasizing the identification of potential biomarkers for OP diagnosis and the discovery of novel therapeutic targets. Additionally, we discuss the challenges and future directions in the field, highlighting the potential impact of proteomic research in transforming the landscape of OP diagnosis and treatment.
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Affiliation(s)
- Jihan Wang
- Xi’an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi’an 710072, China; (J.W.)
| | - Mengju Xue
- School of Medicine, Xi’an International University, Xi’an 710077, China
| | - Ya Hu
- Department of Medical College, Hunan Polytechnic of Environment and Biology, Hengyang 421000, China
| | - Jingwen Li
- Xi’an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi’an 710072, China; (J.W.)
- Research and Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518057, China
| | - Zhenzhen Li
- Xi’an Key Laboratory of Stem Cell and Regenerative Medicine, Institute of Medical Research, Northwestern Polytechnical University, Xi’an 710072, China; (J.W.)
- Research and Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518057, China
| | - Yangyang Wang
- School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China
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Ma C, Yu R, Li J, Chao J, Liu P. Targeting proteostasis network in osteoporosis: Pathological mechanisms and therapeutic implications. Ageing Res Rev 2023; 90:102024. [PMID: 37532006 DOI: 10.1016/j.arr.2023.102024] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 07/11/2023] [Accepted: 07/28/2023] [Indexed: 08/04/2023]
Abstract
As the most common bone disease, osteoporosis (OP) increases bone fragility and makes patients more vulnerable to the threat of osteoporotic fractures. With the ageing population in today's society, OP has become a huge and growing public health problem. Unfortunately, the clear pathogenesis of OP is still under exploration, and effective interventions are still scarce. Therefore, exploring new targets for pharmacological interventions to develop promising therapeutic drugs for OP is of great clinical value. Previous studies have shown that normal bone remodeling depends on proteostasis, whereas loss of proteostasis during ageing leads to the dysfunctional proteostasis network (PN) that fails to maintain bone homeostasis. Nevertheless, only a few studies have revealed the pathophysiological relationship between bone metabolism and a single component of PN, yet the role of PN as a whole in the pathogenesis of OP is still under investigation. This review comprehensively summarized the role of PN in the pathogenesis of OP and further discussed the potential of PN as innovative drug targets for the therapy of OP.
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Affiliation(s)
- Cong Ma
- Department of Orthopedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430077, China; Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ronghui Yu
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Junhong Li
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jiashuo Chao
- Department of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Ping Liu
- Department of Orthopedics, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430077, China.
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Pimenta-Lopes C, Sánchez-de-Diego C, Deber A, Egea-Cortés A, Valer JA, Alcalá A, Méndez-Lucas A, Esteve-Codina A, Rosa JL, Ventura F. Inhibition of C5AR1 impairs osteoclast mobilization and prevents bone loss. Mol Ther 2023; 31:2507-2523. [PMID: 37143324 PMCID: PMC10422003 DOI: 10.1016/j.ymthe.2023.04.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 12/22/2022] [Accepted: 04/28/2023] [Indexed: 05/06/2023] Open
Abstract
Age-related and chemotherapy-induced bone loss depends on cellular senescence and the cell secretory phenotype. However, the factors secreted in the senescent microenvironment that contribute to bone loss remain elusive. Here, we report a central role for the inflammatory alternative complement system in skeletal bone loss. Through transcriptomic analysis of bone samples, we identified complement factor D, a rate-limiting factor of the alternative pathway of complement, which is among the most responsive factors to chemotherapy or estrogen deficiency. We show that osteoblasts and osteocytes are major inducers of complement activation, while monocytes and osteoclasts are their primary targets. Genetic deletion of C5ar1, the receptor of the anaphylatoxin C5a, or treatment with a C5AR1 inhibitor reduced monocyte chemotaxis and osteoclast differentiation. Moreover, genetic deficiency or inhibition of C5AR1 partially prevented bone loss and osteoclastogenesis upon chemotherapy or ovariectomy. Altogether, these lines of evidence support the idea that inhibition of alternative complement pathways may have some therapeutic benefit in osteopenic disorders.
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Affiliation(s)
- Carolina Pimenta-Lopes
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - Cristina Sánchez-de-Diego
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - Alexandre Deber
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - Andrea Egea-Cortés
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - José Antonio Valer
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - Albert Alcalá
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - Andrés Méndez-Lucas
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - Anna Esteve-Codina
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science & Technology, 08028 Barcelona, Spain; Universitat Pompeu Fabra, 08003 Barcelona, Spain
| | - Jose Luis Rosa
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain
| | - Francesc Ventura
- Departament de Ciències Fisiològiques, Universitat de Barcelona, IDIBELL, 08907 L'Hospitalet de Llobregat, Spain.
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Zhang Y, Shi L, Wang F, Wang L, Min N, Wen L, Xue Q. Screening for autophagy/hypoxia/ferroptosis/pyroptosis-related genes of tendon injury and repair in a rat model after celecoxib and lactoferrin treatment. J Orthop Surg Res 2023; 18:383. [PMID: 37231424 DOI: 10.1186/s13018-023-03856-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/13/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Tendon injuries are among the most common musculoskeletal disorders. Celecoxib possesses an effective anti-inflammatory activity in the tendon injury treatment. Lactoferrin has a great potential for the tendon regeneration. However, the efficacy of celecoxib combined with lactoferrin in the treatment of tendon injury has not been reported. In this study, we aimed to investigate the effect of celecoxib and lactoferrin on tendon injury and repair, and screen for the crucial genes associated with the tendon injury and repair. METHODS The rat tendon injury models were established and divided into four groups: normal control group (n = 10), tendon injury model group (n = 10), celecoxib treatment group (n = 10), and celecoxib + lactoferrin treatment group (n = 10). Then, RNA sequencing was performed to identify differentially expressed lncRNAs (DElncRNAs), miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) in celecoxib treatment group and celecoxib + lactoferrin treatment group. Next, autophagy/hypoxia/ferroptosis/pyroptosis-related DEmRNAs were further identified. Subsequently, functional enrichment, protein-protein interaction (PPI) network and transcriptional regulatory network construction for these genes were performed. RESULTS The animal study demonstrated that combinational administration of celecoxib with lactoferrin rescued the harmful effects caused by celecoxib in the treatment of tendon injury. Compared to tendon injury model group, 945 DEmRNAs, 7 DEmiRNAs and 34 DElncRNAs were obtained in celecoxib treatment group, and 493 DEmRNAs, 8 DEmiRNAs and 21 DElncRNAs were obtained in celecoxib + lactoferrin treatment group, respectively. Subsequently, 376 celecoxib + lactoferrin treatment group-specific DEmRNAs were determined. Then, 25 DEmRNAs associated with autophagy/hypoxia/ferroptosis/pyroptosis were identified. CONCLUSIONS Several genes, such as, Ppp1r15a, Ddit4, Fos, Casp3, Tgfb3, Hspb1 and Hspa8, were identified to be associated with tendon injury and repair.
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Affiliation(s)
- Yaonan Zhang
- Orthopaedic Department, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Lei Shi
- Orthopaedic Department, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Fei Wang
- Orthopaedic Department, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Lin Wang
- Orthopaedic Department, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Nan Min
- Orthopaedic Department, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Liangyuan Wen
- Orthopaedic Department, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
| | - Qingyun Xue
- Orthopaedic Department, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
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Kovács OT, Tóth E, Ozohanics O, Soltész-Katona E, Marton N, Buzás EI, Hunyady L, Drahos L, Turu G, Nagy G. Proteomic Changes of Osteoclast Differentiation in Rheumatoid and Psoriatic Arthritis Reveal Functional Differences. Front Immunol 2022; 13:892970. [PMID: 35860269 PMCID: PMC9289121 DOI: 10.3389/fimmu.2022.892970] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/31/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundOsteoclasts play a crucial role in the maintenance, repair, and remodeling of bones of the adult vertebral skeleton due to their bone resorption capability. Rheumatoid arthritis (RA) and psoriatic arthritis (PsA) are associated with increased activity of osteoclasts.ObjectivesOur study aimed to investigate the dynamic proteomic changes during osteoclast differentiation in healthy donors, in RA, and PsA.MethodsBlood samples of healthy donors, RA, and PsA patients were collected, and monocytes were isolated and differentiated into osteoclasts in vitro using macrophage colony-stimulating factor (M-CSF) and receptor activator of nuclear factor κB ligand (RANK-L). Mass spectrometry-based proteomics was used to analyze proteins from cell lysates. The expression changes were analyzed with Gene Set Enrichment Analysis (GSEA).ResultsThe analysis of the proteomic changes revealed that during the differentiation of the human osteoclasts, expression of the proteins involved in metabolic activity, secretory function, and cell polarity is increased; by contrast, signaling pathways involved in the immune functions are downregulated. Interestingly, the differences between cells of healthy donors and RA/PsA patients are most pronounced after the final steps of differentiation to osteoclasts. In addition, both in RA and PsA the differentiation is characterized by decreased metabolic activity, associated with various immune pathway activities; furthermore by accelerated cytokine production in RA.ConclusionsOur results shed light on the characteristic proteomic changes during human osteoclast differentiation and expression differences in RA and PsA, which reveal important pathophysiological insights in both diseases.
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Affiliation(s)
- Orsolya Tünde Kovács
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary
- Department of Physiology, Semmelweis University, Budapest, Hungary
| | - Eszter Tóth
- Institute of Organic Chemistry, Eötvös Loránd Research Network, Research Centre for Natural Sciences, Budapest, Hungary
| | - Olivér Ozohanics
- Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Eszter Soltész-Katona
- Department of Physiology, Semmelweis University, Budapest, Hungary
- Eötvös Loránd Research Network and Semmelweis University (ELKH-SE) Laboratory of Molecular Physiology, Eötvös Loránd Research Network, Budapest, Hungary
| | - Nikolett Marton
- Department of Radiology, Medical Imaging Centre, Semmelweis University, Budapest, Hungary
| | - Edit Irén Buzás
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary
- Eötvös Loránd Research Network and Semmelweis University (ELKH-SE) Immune-Proteogenomics Research Group, Budapest, Hungary
- Hungarian Centre of Excellence for Molecular Medicine - Semmelweis University (HCEMM-SU) Extracellular Vesicles Research Group, Budapest, Hungary
| | - László Hunyady
- Department of Physiology, Semmelweis University, Budapest, Hungary
- Eötvös Loránd Research Network and Semmelweis University (ELKH-SE) Laboratory of Molecular Physiology, Eötvös Loránd Research Network, Budapest, Hungary
- Institute of Enzymology, Eötvös Loránd Research Network, Research Centre for Natural Sciences, Budapest, Hungary
| | - László Drahos
- Institute of Organic Chemistry, Eötvös Loránd Research Network, Research Centre for Natural Sciences, Budapest, Hungary
| | - Gábor Turu
- Department of Physiology, Semmelweis University, Budapest, Hungary
- Eötvös Loránd Research Network and Semmelweis University (ELKH-SE) Laboratory of Molecular Physiology, Eötvös Loránd Research Network, Budapest, Hungary
- *Correspondence: Gábor Turu,
| | - György Nagy
- Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary
- Department of Rheumatology and Clinical Immunology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary
- Heart and Vascular Centre, Semmelweis University, Budapest, Hungary
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9
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Saxena Y, Routh S, Mukhopadhaya A. Immunoporosis: Role of Innate Immune Cells in Osteoporosis. Front Immunol 2021; 12:687037. [PMID: 34421899 PMCID: PMC8374941 DOI: 10.3389/fimmu.2021.687037] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 07/22/2021] [Indexed: 12/11/2022] Open
Abstract
Osteoporosis or porous bone disorder is the result of an imbalance in an otherwise highly balanced physiological process known as 'bone remodeling'. The immune system is intricately involved in bone physiology as well as pathologies. Inflammatory diseases are often correlated with osteoporosis. Inflammatory mediators such as reactive oxygen species (ROS), and pro-inflammatory cytokines and chemokines directly or indirectly act on the bone cells and play a role in the pathogenesis of osteoporosis. Recently, Srivastava et al. (Srivastava RK, Dar HY, Mishra PK. Immunoporosis: Immunology of Osteoporosis-Role of T Cells. Frontiers in immunology. 2018;9:657) have coined the term "immunoporosis" to emphasize the role of immune cells in the pathology of osteoporosis. Accumulated pieces of evidence suggest both innate and adaptive immune cells contribute to osteoporosis. However, innate cells are the major effectors of inflammation. They sense various triggers to inflammation such as pathogen-associated molecular patterns (PAMPs), damage-associated molecular patterns (DAMPs), cellular stress, etc., thus producing pro-inflammatory mediators that play a critical role in the pathogenesis of osteoporosis. In this review, we have discussed the role of the innate immune cells in great detail and divided these cells into different sections in a systemic manner. In the beginning, we talked about cells of the myeloid lineage, including macrophages, monocytes, and dendritic cells. This group of cells explicitly influences the skeletal system by the action of production of pro-inflammatory cytokines and can transdifferentiate into osteoclast. Other cells of the myeloid lineage, such as neutrophils, eosinophils, and mast cells, largely impact osteoporosis via the production of pro-inflammatory cytokines. Further, we talked about the cells of the lymphoid lineage, including natural killer cells and innate lymphoid cells, which share innate-like properties and play a role in osteoporosis. In addition to various innate immune cells, we also discussed the impact of classical pro-inflammatory cytokines on osteoporosis. We also highlighted the studies regarding the impact of physiological and metabolic changes in the body, which results in chronic inflammatory conditions such as ageing, ultimately triggering osteoporosis.
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Affiliation(s)
- Yogesh Saxena
- Department of Biological Sciences, Indian Institute of Science Education and Research Mohali, Mohali, India
| | - Sanjeev Routh
- Department of Biological Sciences, Indian Institute of Science Education and Research Mohali, Mohali, India
| | - Arunika Mukhopadhaya
- Department of Biological Sciences, Indian Institute of Science Education and Research Mohali, Mohali, India
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Lv M, Cui C, Chen P, Li Z. Identification of osteoporosis markers through bioinformatic functional analysis of serum proteome. Medicine (Baltimore) 2020; 99:e22172. [PMID: 32991410 PMCID: PMC7523818 DOI: 10.1097/md.0000000000022172] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Osteoporosis is a severe chronic skeletal disorder that increases the risks of disability and mortality; however, the mechanism of this disease and the protein markers for prognosis of osteoporosis have not been well characterized. This study aims to characterize the imbalanced serum proteostasis, the disturbed pathways, and potential serum markers in osteoporosis by using a set of bioinformatic analyses. In the present study, the large-scale proteomics datasets (PXD006464) were adopted from the Proteome Xchange database and processed with MaxQuant. The differentially expressed serum proteins were identified. The biological process and molecular function were analyzed. The protein-protein interactions and subnetwork modules were constructed. The signaling pathways were enriched. We identified 209 upregulated and 230 downregulated serum proteins. The bioinformatic analyses revealed a highly overlapped functional protein classification and the gene ontology terms between the upregulated and downregulated protein groups. Protein-protein interactions and pathway analyses showed a high enrichment in protein synthesis, inflammation, and immune response in the upregulated proteins, and cell adhesion and cytoskeleton regulation in the downregulated proteins. Our findings greatly expand the current view of the roles of serum proteins in osteoporosis and shed light on the understanding of its underlying mechanisms and the discovery of serum proteins as potential markers for the prognosis of osteoporosis.
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Affiliation(s)
- Mengying Lv
- Institute of Translational Medicine, Medical College, Yangzhou University
- Jiangsu Key Laboratory of Experimental and Translational Non-coding RNA Research, Yangzhou, Jiangsu, PR China
| | - Chuanlong Cui
- School of Graduate Studies, Rutgers, The State University of New Jersey, Newark, NJ
| | - Peng Chen
- No. 5 Region, The First Affiliated Hospital of Guangzhou University of Chinese Medicine
| | - Ziqi Li
- Department of Joint Diseases, The Third Affiliated Hospital of Guangzhou University of Chinese Medicine
- Traumatology and Orthopedics Institute of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
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11
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Bhattacharya A, Ghosh P, Prasad R, Ghosh A, Das K, Roy A, Mallik S, Sinha DK, Sen P. MAP Kinase driven actomyosin rearrangement is a crucial regulator of monocyte to macrophage differentiation. Cell Signal 2020; 73:109691. [PMID: 32531262 DOI: 10.1016/j.cellsig.2020.109691] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 06/05/2020] [Accepted: 06/06/2020] [Indexed: 12/31/2022]
Abstract
Rearrangement of actin cytoskeleton correlates significantly with the immune responses as the perturbation of cytoskeletal dynamics leads to many immune deficiencies. Mechanistic insights into this correlation remain unknown. Cellular spreading, the most characteristic phenotype associated with monocyte to macrophage differentiation, led us to investigate the contribution of actomyosin dynamics in monocyte differentiation. Our observation revealed that actomyosin reorganization intrinsically governs the process of monocyte to macrophage differentiation. Further, we established that the MAPK-driven signaling pathways regulate the cellular actomyosin dynamics that direct monocyte to macrophage differentiation. We also identified P42/44 Mitogen-Activated Protein Kinase (P42/44 MAPK), P38 Mitogen-Activated Protein Kinase (P38 MAPK), MAP Kinase Activated Protein Kinase 2 (MK-2), Heat Shock Protein 27 (Hsp-27), Lim Kinase (Lim K), non-muscle cofilin (n-cofilin), Myosin Light Chain Kinase (MLCK) and Myosin Light Chain (MLC) as critical components of the signaling network. Moreover, we have shown the involvement of the same signaling cascade in 3D gel-like microenvironment induced spontaneous monocyte to macrophage differentiation and in human blood-derived PBMC differentiation. Our study reveals new mechanistic insights into the process of monocyte to macrophage differentiation.
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Affiliation(s)
- Anindita Bhattacharya
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Purnam Ghosh
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Ramesh Prasad
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Arnab Ghosh
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Kaushik Das
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Abhishek Roy
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Suman Mallik
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Deepak Kumar Sinha
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India
| | - Prosenjit Sen
- Department of Biological Chemistry, Indian Association for the Cultivation of Science, Jadavpur, Kolkata 700032, India.
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12
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Qiu C, Yu F, Su K, Zhao Q, Zhang L, Xu C, Hu W, Wang Z, Zhao L, Tian Q, Wang Y, Deng H, Shen H. Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms. iScience 2020; 23:100847. [PMID: 32058959 PMCID: PMC6997862 DOI: 10.1016/j.isci.2020.100847] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 11/22/2019] [Accepted: 01/13/2020] [Indexed: 12/31/2022] Open
Abstract
Osteoporosis is characterized by low bone mineral density (BMD). The advancement of high-throughput technologies and integrative approaches provided an opportunity for deciphering the mechanisms underlying osteoporosis. Here, we generated genomic, transcriptomic, methylomic, and metabolomic datasets from 119 subjects with high (n = 61) and low (n = 58) BMDs. By adopting sparse multiple discriminative canonical correlation analysis, we identified an optimal multi-omics biomarker panel with 74 differentially expressed genes (DEGs), 75 differentially methylated CpG sites (DMCs), and 23 differential metabolic products (DMPs). By linking genetic data, we identified 199 targeted BMD-associated expression/methylation/metabolite quantitative trait loci (eQTLs/meQTLs/metaQTLs). The reconstructed networks/pathways showed extensive biomarker interactions, and a substantial proportion of these biomarkers were enriched in RANK/RANKL, MAPK/TGF-β, and WNT/β-catenin pathways and G-protein-coupled receptor, GTP-binding/GTPase, telomere/mitochondrial activities that are essential for bone metabolism. Five biomarkers (FADS2, ADRA2A, FMN1, RABL2A, SPRY1) revealed causal effects on BMD variation. Our study provided an innovative framework and insights into the pathogenesis of osteoporosis.
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Affiliation(s)
- Chuan Qiu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA
| | - Fangtang Yu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA
| | - Kuanjui Su
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis 38163, TN, USA
| | - Lan Zhang
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA
| | - Chao Xu
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City 73104, OK, USA
| | - Wenxing Hu
- Department of Biomedical Engineering, Tulane University, New Orleans 70118, LA, USA
| | - Zun Wang
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA; Xiangya Nursing School, Central South University, Changsha 410013, China
| | - Lanjuan Zhao
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA
| | - Qing Tian
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA
| | - Yuping Wang
- Department of Biomedical Engineering, Tulane University, New Orleans 70118, LA, USA
| | - Hongwen Deng
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA; School of Basic Medical Science, Central South University, Changsha 410013, China
| | - Hui Shen
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans 70112, LA, USA.
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13
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"Omics" Signatures in Peripheral Monocytes from Women with Low BMD Condition. J Osteoporos 2018; 2018:8726456. [PMID: 29744028 PMCID: PMC5878888 DOI: 10.1155/2018/8726456] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2017] [Accepted: 02/12/2018] [Indexed: 01/20/2023] Open
Abstract
Postmenopausal osteoporosis (PMO) is a result of increased bone resorption compared to formation. Osteoclasts are responsible for bone resorption, which are derived from circulating monocytes that undertake a journey from the blood to the bone for the process of osteoclastogenesis. In recent times, the use of high throughput technologies to explore monocytes from women with low versus high bone density has led to the identification of candidate molecules that may be deregulated in PMO. This review provides a list of molecules in monocytes relevant to bone density which have been identified by "omics" studies in the last decade or so. The molecules in monocytes that are deregulated in low BMD condition may contribute to processes such as monocyte survival, migration/chemotaxis, adhesion, transendothelial migration, and differentiation into the osteoclast lineage. Each of these processes may be crucial to the overall route of osteoclastogenesis and an increase in any/all of these processes can lead to increased bone resorption and subsequently low bone density. Whether these molecules are indeed the cause or effect is an arena currently unexplored.
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14
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Segura V, Valero ML, Cantero L, Muñoz J, Zarzuela E, García F, Aloria K, Beaskoetxea J, Arizmendi JM, Navajas R, Paradela A, Díez P, Dégano RM, Fuentes M, Orfao A, Montero AG, Garin-Muga A, Corrales FJ, Pino MMSD. In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets. Proteomes 2018; 6:proteomes6010008. [PMID: 29401756 PMCID: PMC5874767 DOI: 10.3390/proteomes6010008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2017] [Revised: 01/24/2018] [Accepted: 02/01/2018] [Indexed: 01/02/2023] Open
Abstract
Monocytes are bone marrow-derived leukocytes that are part of the innate immune system. Monocytes are divided into three subsets: classical, intermediate and non-classical, which can be differentiated by their expression of some surface antigens, mainly CD14 and CD16. These cells are key players in the inflammation process underlying the mechanism of many diseases. Thus, the molecular characterization of these cells may provide very useful information for understanding their biology in health and disease. We performed a multicentric proteomic study with pure classical and non-classical populations derived from 12 healthy donors. The robust workflow used provided reproducible results among the five participating laboratories. Over 5000 proteins were identified, and about half of them were quantified using a spectral counting approach. The results represent the protein abundance catalogue of pure classical and enriched non-classical blood peripheral monocytes, and could serve as a reference dataset of the healthy population. The functional analysis of the differences between cell subsets supports the consensus roles assigned to human monocytes.
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Affiliation(s)
- Víctor Segura
- Proteomics, Genomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona 31008, Spain.
| | - M Luz Valero
- Proteomics Unit; Central Service for Experimental Research (SCSIE), University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain.
| | - Laura Cantero
- Proteomics Unit; Central Service for Experimental Research (SCSIE), University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain.
| | - Javier Muñoz
- Spanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. Spain.
| | - Eduardo Zarzuela
- Spanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. Spain.
| | - Fernando García
- Spanish National Cancer Research Centre (CNIO), Melchor Férnandez Almagro, 3, 28029 Madrid. Spain.
| | - Kerman Aloria
- Proteomics Core Facility-SGIKER, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain.
| | - Javier Beaskoetxea
- Department of Biochemistry and Molecular Biology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain.
| | - Jesús M Arizmendi
- Department of Biochemistry and Molecular Biology, University of the Basque Country, UPV/EHU, 48940 Leioa, Spain.
| | - Rosana Navajas
- Proteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, Spain.
| | - Alberto Paradela
- Proteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, Spain.
| | - Paula Díez
- Department of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain.
- Proteomics Unit. Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain.
| | - Rosa Mª Dégano
- Department of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain.
- Proteomics Unit. Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain.
| | - Manuel Fuentes
- Department of Medicine and General Cytometry Service-Nucleus, Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain.
- Proteomics Unit. Cancer Research Centre (IBMCC/CSIC/USAL/IBSAL), 37007 Salamanca, Spain.
| | - Alberto Orfao
- Cancer Research Center. University of Salamanca-CSIC, IBSAL, 37007 Salamanca, Spain.
| | - Andrés García Montero
- Spanish National DNA Bank Carlos III, University of Salamanca, 37007 Salamanca, Spain.
| | - Alba Garin-Muga
- Proteomics, Genomics and Bioinformatics Unit, Center for Applied Medical Research, University of Navarra, Pamplona 31008, Spain.
| | - Fernando J Corrales
- Proteomics Unit, Centro Nacional de Biotecnología-CSIC, Darwin 3, 28049 Madrid, Spain.
| | - Manuel M Sánchez Del Pino
- Department of Biochemistry and Molecular Biology, University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain.
- Biotechnology and Biomedicine Interdisciplinary Research Unit (ERI BIOTECMED), University of Valencia. Dr Moliner 50, 46100 Burjassot, Spain.
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15
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Su YJ, Chen CT, Tsai NW, Huang CC, Wang HC, Kung CT, Lin WC, Cheng BC, Su CM, Hsiao SY, Lu CH. The Role of Monocyte Percentage in Osteoporosis in Male Rheumatic Diseases. Am J Mens Health 2017; 11:1772-1780. [PMID: 28901203 PMCID: PMC5675259 DOI: 10.1177/1557988317721642] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Osteoporosis is easily overlooked in male patients, especially in the field of rheumatic diseases mostly prevalent with female patients, and its link to pathogenesis is still lacking. Attenuated monocyte apoptosis from a transcriptome-wide expression study illustrates the role of monocytes in osteoporosis. This study tested the hypothesis that the monocyte percentage among leukocytes could be a biomarker of osteoporosis in rheumatic diseases. Eighty-seven males with rheumatic diseases were evaluated in rheumatology outpatient clinics for bone mineral density (BMD) and surrogate markers, such as routine peripheral blood parameters and autoantibodies. From the total number of 87 patients included in this study, only 15 met the criteria for diagnosis of osteoporosis. Both age and monocyte percentage remained independently associated with the presence of osteoporosis. Steroid dose (equivalent prednisolone dose) was negatively associated with BMD of the hip area and platelet counts were negatively associated with BMD and T score of the spine area. Besides age, monocyte percentage meets the major requirements for osteoporosis in male rheumatic diseases. A higher monocyte percentage in male rheumatic disease patients, aged over 50 years in this study, and BMD study should be considered in order to reduce the risk of osteoporosis-related fractures.
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Affiliation(s)
- Yu-Jih Su
- 1 Department of Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chao Tung Chen
- 2 Department of Family Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Nai-Wen Tsai
- 3 Department of Neurology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chih-Cheng Huang
- 3 Department of Neurology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Hung-Chen Wang
- 4 Department of Neurosurgery, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Chia-Te Kung
- 5 Department of Emergency Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Wei-Che Lin
- 6 Department of Radiology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Ben-Chung Cheng
- 1 Department of Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.,7 Department of Biological Science, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Chih-Min Su
- 5 Department of Emergency Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Sheng-Yuan Hsiao
- 5 Department of Emergency Medicine, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.,7 Department of Biological Science, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Cheng-Hsien Lu
- 3 Department of Neurology, Chang Gung Memorial Hospital-Kaohsiung Medical Center, Chang Gung University College of Medicine, Kaohsiung, Taiwan.,7 Department of Biological Science, National Sun Yat-Sen University, Kaohsiung, Taiwan.,8 Department of Neurology, Xiamen Chang Gung Memorial Hospital, Xiamen, China
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16
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P4 medicine and osteoporosis: a systematic review. Wien Klin Wochenschr 2016; 128:480-491. [PMID: 27873024 DOI: 10.1007/s00508-016-1125-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 10/20/2016] [Indexed: 10/20/2022]
Abstract
BACKGROUND Osteoporosis is the most frequent bone metabolic disease. In order to improve early detection, prediction, prevention, diagnosis, and treatment of the disease, a new model of P4 medicine (personalized, predictive, preventive, and participatory medicine) could be applied. The aim of this work was to systematically review the publications of four different types of "omics" studies related to osteoporosis, in order to discover novel predictive, preventive, diagnostic, and therapeutic targets for better management of the geriatric population. METHODS To systematically search the PubMed database, we created specific groups of criteria for four different types of "omics" information on osteoporosis: genomic, transcriptomic, proteomic, and metabolomic. We then analyzed the intersections between them in order to find correlations and common pathways or molecules with important roles in osteoporosis, and with a potential application in disease prediction, prevention, diagnosis, or treatment. RESULTS Altogether, 180 publications of "omics" studies in the field of osteoporosis were found and reviewed at first selection. After introducing the inclusion and exclusion criteria (the secondary selection), 46 papers were included in the systematic review. CONCLUSIONS The intersection of reviewed papers identified five genes (ESR1, IBSP, CTNNB1, SOX4, and IDUA) and processes like the Wnt pathway, JAK/STAT signaling, and ERK/MAPK, which should be further validated for their predictive, diagnostic, or other clinical value in osteoporosis. Such molecular insights will enable us to fit osteoporosis into the P4 strategy and could increase the effectiveness of disease prediction and prevention, with a decrease in morbidity in the geriatric population.
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Daswani B, Desai M, Mitra S, Gavali S, Patil A, Kukreja S, Khatkhatay MI. Influence of bone mineral density measurement on fracture risk assessment tool® scores in postmenopausal Indian women. Post Reprod Health 2016; 22:20-4. [PMID: 26826081 DOI: 10.1177/2053369116628722] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AIM Fracture risk assessment tool® calculations can be performed with or without addition of bone mineral density; however, the impact of this addition on fracture risk assessment tool® scores has not been studied in Indian women. Given the limited availability and high cost of bone mineral density testing in India, it is important to know the influence of bone mineral density on fracture risk assessment tool® scores in Indian women. Therefore, our aim was to assess the contribution of bone mineral density in fracture risk assessment tool® outcome in Indian women. METHODS Apparently healthy postmenopausal Indian women (n = 506), aged 40-72 years, without clinical risk factors for bone disease, were retrospectively selected, and their fracture risk assessment tool® scores calculated with and without bone mineral density were compared. RESULTS Based on WHO criteria, 30% women were osteoporotic, 42.9% were osteopenic and 27.1% had normal bone mineral density. Fracture risk assessment tool® scores for risk of both major osteoporotic fracture and hip fracture significantly increased on including bone mineral density (P < 0.0001). When criteria of National Osteoporosis Foundation, US was applied number of participants eligible for medical therapy increased upon inclusion of bone mineral density, (for major osteoporotic fracture risk number of women eligible without bone mineral density was 0 and with bone mineral density was 1, P > 0.05, whereas, for hip fracture risk number of women eligible without bone mineral density was 2 and with bone mineral density was 17, P < 0.0001). CONCLUSION Until the establishment of country-specific medication intervention thresholds, bone mineral density should be included while calculating fracture risk assessment tool® scores in Indian women.
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Affiliation(s)
- Bhavna Daswani
- Division of Molecular Immunodiagnostics, National Institute for Research in Reproductive Health (ICMR), J.M. Street, Parel, Mumbai - 400012, India
| | - Meena Desai
- Division of Molecular Immunodiagnostics, National Institute for Research in Reproductive Health (ICMR), J.M. Street, Parel, Mumbai - 400012, India
| | - Sumegha Mitra
- Division of Molecular Immunodiagnostics, National Institute for Research in Reproductive Health (ICMR), J.M. Street, Parel, Mumbai - 400012, India
| | - Shubhangi Gavali
- Division of Molecular Immunodiagnostics, National Institute for Research in Reproductive Health (ICMR), J.M. Street, Parel, Mumbai - 400012, India
| | - Anushree Patil
- Division of Clinical Research, National Institute for Research in Reproductive Health (ICMR), J. M. Street, Parel, Mumbai - 400012, India
| | | | - M Ikram Khatkhatay
- Division of Molecular Immunodiagnostics, National Institute for Research in Reproductive Health (ICMR), J.M. Street, Parel, Mumbai - 400012, India
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