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Szudy-Szczyrek A, Mlak R, Pigoń-Zając D, Krupski W, Mazurek M, Tomczak A, Chromik K, Górska A, Koźlik P, Juda A, Kokoć A, Dubaj M, Sacha T, Niedoszytko M, Helbig G, Szczyrek M, Szumiło J, Małecka-Massalska T, Hus M. Role of sclerostin in mastocytosis bone disease. Sci Rep 2025; 15:161. [PMID: 39747949 PMCID: PMC11697018 DOI: 10.1038/s41598-024-83851-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Accepted: 12/17/2024] [Indexed: 01/04/2025] Open
Abstract
Mastocytosis is a heterogeneous group of disorders, characterized by accumulation of clonal mast cells which can infiltrate several organs, most often spine (70%). The pathogenesis of mastocytosis bone disease is poorly understood. The main aim of the study was to investigate whether neoplastic mast cells may be the source of sclerostin and whether there is an association between sclerostin and selected bone remodeling markers with mastocytosis related bone disease. We assessed sclerostin, bioactive sclerostin, and SOST gene expression in HMC-1.2 human mast cell culture supernatants and plasma of SM patients (n = 39). We showed that human mast cells can secrete sclerostin, and after their stimulation with IL-6, there is a significant increase in SOST gene expression. We observed significantly higher levels of sclerostin in patients diagnosed with more advanced disease. We observed a statistically significant correlation between concentations of sclerostin and its bioactive form and the concentration of alkaline phosphatase (ALP), and between sclerostin and interleukin-6 (IL-6). We observed that significantly higher sclerostin concentrations are present in patients with increased sclerosis of the spongy bone. Sclerostin may serve as a marker of more advanced disease and bone disease in mastocytosis. Further studies are justified to evaluate its role in mastocytosis.
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Affiliation(s)
- Aneta Szudy-Szczyrek
- Department of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, Lublin, Staszica Street 11, 20-081, Poland
| | - Radosław Mlak
- Department of Laboratory Diagnostics, Medical University of Lublin, Lublin, Poland
| | | | - Witold Krupski
- Department of Medical Radiology, Medical University of Lublin, Lublin, Poland
| | - Marcin Mazurek
- Department of Human Physiology, Medical University of Lublin, Lublin, Poland
| | - Aleksandra Tomczak
- Department of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, Lublin, Staszica Street 11, 20-081, Poland
| | - Karolina Chromik
- Department of Hematology and Bone Marrow Transplantation, Medical University of Silesia in Katowice, Katowice, Poland
| | - Aleksandra Górska
- Department of Pulmonology and Allergology, Medical University of Gdańsk, Gdańsk, Poland
| | - Paweł Koźlik
- Chair of Hematology, Jagiellonian University, Kraków, Poland
| | - Adrian Juda
- Department of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, Lublin, Staszica Street 11, 20-081, Poland
| | - Anna Kokoć
- Department of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, Lublin, Staszica Street 11, 20-081, Poland
| | - Maciej Dubaj
- Department of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, Lublin, Staszica Street 11, 20-081, Poland.
| | - Tomasz Sacha
- Chair of Hematology, Jagiellonian University, Kraków, Poland
| | - Marek Niedoszytko
- Department of Pulmonology and Allergology, Medical University of Gdańsk, Gdańsk, Poland
| | - Grzegorz Helbig
- Department of Hematology and Bone Marrow Transplantation, Medical University of Silesia in Katowice, Katowice, Poland
| | - Michał Szczyrek
- Department of Pneumonology, Oncology and Allergology, Medical University of Lublin, Lublin, Poland
| | - Justyna Szumiło
- Department of Clinical Pathomorphology, Medical University of Lublin, Lublin, Poland
| | | | - Marek Hus
- Department of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, Lublin, Staszica Street 11, 20-081, Poland
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Afsar B, Afsar RE, Caliskan Y, Lentine KL. The Relationship between Sclerostin and Kidney Transplantation Mineral Bone Disorders: A Molecule of Controversies. Calcif Tissue Int 2024; 115:339-361. [PMID: 39078512 PMCID: PMC11405501 DOI: 10.1007/s00223-024-01261-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Accepted: 07/06/2024] [Indexed: 07/31/2024]
Abstract
Kidney transplantation is the most effective treatment option for most patients with end-stage kidney disease due to reduced mortality, decreased cardiovascular events and increased quality of life compared to patients treated with dialysis. However, kidney transplantation is not devoid of both acute and chronic complications including mineral bone disorders (MBD) which are already present in patients with chronic kidney disease (CKD) before kidney transplantation. The natural history of MBD after kidney transplantation is variable and new markers are needed to define MBD after kidney transplantation. One of these promising molecules is sclerostin. The main action of sclerostin is to inhibit bone formation and mineralization by blocking osteoblast differentiation and function. In kidney transplant recipients (KTRs), various studies have shown that sclerostin is associated with graft function, bone parameters, vascular calcification, and arterial stiffness although non-uniformly. Furthermore, data for inhibition of sclerostin with monoclonal antibody romosozumab for treatment of osteoporosis is available for general population but not in KTRs which osteoporosis is highly prevalent. In this narrative review, we have summarized the studies investigating the change of sclerostin before and after kidney transplantation, the relationship between sclerostin and laboratory parameters, bone metabolism and vascular calcification in the context of kidney transplantation. We also pointed out the uncertainties, explained the causes of divergent findings and suggest further potential study topics regarding sclerostin in kidney transplantation.
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Affiliation(s)
- Baris Afsar
- Department of Nephrology, School of Medicine, Suleyman Demirel University, Isparta, Turkey.
- Department of Nephrology, Saint Loui University, Saint Louis University Hospital, Saint Louis, MO, USA.
| | - Rengin Elsurer Afsar
- Department of Nephrology, School of Medicine, Suleyman Demirel University, Isparta, Turkey
- Department of Nephrology, Saint Loui University, Saint Louis University Hospital, Saint Louis, MO, USA
| | - Yasar Caliskan
- Department of Nephrology, Saint Loui University, Saint Louis University Hospital, Saint Louis, MO, USA
| | - Krista L Lentine
- Department of Nephrology, Saint Loui University, Saint Louis University Hospital, Saint Louis, MO, USA
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Petrović M, Brković V, Baralić M, Marić I, Petković N, Stanković S, Lalić N, Stanisavljević D, Đukanović L, Ležaić V. Comparative Analysis of Vascular Calcification Risk Factors in Pre-Hemodialysis and Prevalent Hemodialysis Adult Patients: Insights into Calcification Biomarker Associations and Implications for Intervention Strategies in Chronic Kidney Disease. Diagnostics (Basel) 2024; 14:824. [PMID: 38667470 PMCID: PMC11049133 DOI: 10.3390/diagnostics14080824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 04/06/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
This retrospective study aimed to compare risk factors for vascular calcification (VC) between pre-hemodialysis (HD) and prevalent HD adult patients while investigating associations with calcification biomarkers. Baseline data from 30 pre-HD and 85 HD patients were analyzed, including iPTH, vitamin D, FGF 23, fetuin-A, sclerostin, and VC scores (Adragao method). Prevalence of VC was similar in both groups, but HD patients had more frequent VC scores ≥ 6. Pre-HD patients were older, with higher prevalence of hypertension and less frequent use of calcium phosphate binders. Both groups showed similar patterns of hyperphosphatemia, low vitamin D, and iPTH. Fetuin-A and sclerostin levels were higher in pre-HD, while FGF 23 was elevated in HD patients. Higher VC risk in pre-HD patients was associated with male gender, older age, lower fetuin-A and higher sclerostin, lower ferritin, and no vitamin D treatment, while in HD patients with higher sclerostin, FGF 23 and urea, and lower iPTH. Conclusion: Biomarkers could be measurable indicators of biological processes underlying VC in CKD patients that may serve as a potential guide for considering personalized therapeutic approaches. Further studies are needed to elucidate the underlying pathways.
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Affiliation(s)
- Marko Petrović
- Department of Nephrology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.P.); (M.B.)
| | - Voin Brković
- Department of Nephrology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.P.); (M.B.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia (L.Đ.)
| | - Marko Baralić
- Department of Nephrology, University Clinical Centre of Serbia, 11000 Belgrade, Serbia; (M.P.); (M.B.)
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia (L.Đ.)
| | - Ivko Marić
- Special Hospital for Internal Diseases, 11550 Lazarevac, Serbia
| | - Nenad Petković
- Fresenius Medical Care Dialysis Center, 76230 Šamac, Bosnia and Herzegovina
| | - Sanja Stanković
- Centre for Medical Biochemistry, University Clinical Centre of Serbia, 11000 Belgrade, Serbia;
- Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia
| | - Nataša Lalić
- Uromedica Polyclinic Belgrade, 11000 Belgrade, Serbia
| | | | - Ljubica Đukanović
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia (L.Đ.)
| | - Višnja Ležaić
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia (L.Đ.)
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Laster M, Pereira RC, Noche K, Gales B, Salusky IB, Albrecht LV. Sclerostin, Osteocytes, and Wnt Signaling in Pediatric Renal Osteodystrophy. Nutrients 2023; 15:4127. [PMID: 37836411 PMCID: PMC10574198 DOI: 10.3390/nu15194127] [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: 08/05/2023] [Revised: 09/07/2023] [Accepted: 09/19/2023] [Indexed: 10/15/2023] Open
Abstract
The pathophysiology of chronic kidney disease-mineral and bone disorder (CKD-MBD) is not well understood. Specific factors secreted by osteocytes are elevated in the serum of adults and pediatric patients with CKD-MBD, including FGF-23 and sclerostin, a known inhibitor of the Wnt signaling pathway. The molecular mechanisms that promote bone disease during the progression of CKD are incompletely understood. In this study, we performed a cross-sectional analysis of 87 pediatric patients with pre-dialysis CKD and post-dialysis (CKD 5D). We assessed the associations between serum and bone sclerostin levels and biomarkers of bone turnover and bone histomorphometry. We report that serum sclerostin levels were elevated in both early and late CKD. Higher circulating and bone sclerostin levels were associated with histomorphometric parameters of bone turnover and mineralization. Immunofluorescence analyses of bone biopsies evaluated osteocyte staining of antibodies towards the canonical Wnt target, β-catenin, in the phosphorylated (inhibited) or unphosphorylated (active) forms. Bone sclerostin was found to be colocalized with phosphorylated β-catenin, which suggests that Wnt signaling was inhibited. In patients with low serum sclerostin levels, increased unphosphorylated "active" β-catenin staining was observed in osteocytes. These data provide new mechanistic insight into the pathogenesis of CKD-MBD and suggest that sclerostin may offer a potential biomarker or therapeutic target in pediatric renal osteodystrophy.
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Affiliation(s)
- Marciana Laster
- Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA; (M.L.); (R.C.P.); (K.N.); (B.G.)
| | - Renata C. Pereira
- Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA; (M.L.); (R.C.P.); (K.N.); (B.G.)
| | - Kathleen Noche
- Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA; (M.L.); (R.C.P.); (K.N.); (B.G.)
| | - Barbara Gales
- Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA; (M.L.); (R.C.P.); (K.N.); (B.G.)
| | - Isidro B. Salusky
- Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, CA 90024, USA; (M.L.); (R.C.P.); (K.N.); (B.G.)
| | - Lauren V. Albrecht
- Department of Pharmaceutical Sciences, School of Pharmacy, University of California, Irvine, CA 92697, USA
- Department of Developmental and Cell Biology, School of Biological Sciences, University of California, Irvine, CA 92697, USA
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TAO L, HE M, LU Y, ZHENG J, YE Y. Expression of sclerostin and bone morphogenetic protein-7 (BMP-7) in serum of patients with chronic kidney disease-mineral and bone disorder (CKD-MBD) and their correlation with calcium and phosphorus metabolism. FOOD SCIENCE AND TECHNOLOGY 2023. [DOI: 10.1590/fst.48822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Lijiang TAO
- Department of the Chinese People's Liberation Army, China
| | - Minjuan HE
- Department of the Chinese People's Liberation Army, China
| | - Yisheng LU
- Department of the Chinese People's Liberation Army, China
| | - Jie ZHENG
- Department of the Chinese People's Liberation Army, China
| | - Yili YE
- Taizhou Hospital of Traditional Chinese Medicine, China
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Pereira LAL, Meng C, Amoedo MAG, Mendes MTDSCPF, Marques MAMP, Frazão JMMD, Weigert ALL. Etelcalcetide controls secondary hyperparathyroidism and raises sclerostin levels in hemodialysis patients previously uncontrolled with cinacalcet. Nefrologia 2022:S2013-2514(22)00139-0. [PMID: 36437202 DOI: 10.1016/j.nefroe.2022.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Accepted: 09/04/2021] [Indexed: 06/16/2023] Open
Abstract
INTRODUCTION There is scarce clinical experience with etelcalcetide in patients with secondary hyperparathyroidism uncontrolled with cinacalcet. The effect of etelcalcetide on serum sclerostin levels remains to be clarified. MATERIALS AND METHODS Prospective cohort study in prevalent hemodialysis patients with uncontrolled sHPT under cinacalcet for at least 3 months, mean parathyroid hormone (PTH)>800pg/mL and calcium (Ca)>8.3mg/dL. Etelcalcetide 5mg IV/HD was initiated after cinacalcet washout. Levels of PTH, Ca, and phosphorus (Pi) followed monthly for 6 months. Plasma sclerostin levels measured before etelcalcetide treatment and after 6 months. RESULTS Thirty-four patients were enrolled, 19 (55.9%) male gender. Mean age 60.7 (± 12.3) years; median time on HD 82.5 (7-296) months and median cinacalcet dose was 180mg/week (Interquartile Range: 180-270). Serum Ca, Pi and PTH levels showed a significant reduction after etelcalcetide treatment from 8.8mg/dL, 5.4mg/dL and 1005pg/mL to 8.1mg/dL (p=0.08), 4.9mg/dL (p=0.01) and 702pg/mL (p<0.001), respectively. Median etelcalcetide dose remained at 5mg/HD. Plasma sclerostin concentration increased from 35.66pmol/L (IQR11.94-54.58) to 71.05pmol/L (IQR54.43-84.91) (p<0.0001). CONCLUSION Etelcalcetide improved sHPT control in this group of patients, previously under cinacalcet treatment, and significantly increased plasma sclerostin concentration. The impact of etelcalcetide treatment on sclerostin levels is a novel finding.
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Affiliation(s)
- Luciano Artur Lopes Pereira
- Institute of Investigation and Innovation in Health, University of Porto, Portugal; INEB - National Institute of Biomedical Engineering, University of Porto, Portugal; Nephrology Department, Centro Hospitalar e Universitário de São João, Porto, Portugal.
| | - Catarina Meng
- Institute of Investigation and Innovation in Health, University of Porto, Portugal; INEB - National Institute of Biomedical Engineering, University of Porto, Portugal
| | | | | | | | - João Miguel Machado Dória Frazão
- Institute of Investigation and Innovation in Health, University of Porto, Portugal; INEB - National Institute of Biomedical Engineering, University of Porto, Portugal; Nephrology Department, Centro Hospitalar e Universitário de São João, Porto, Portugal
| | - André Luiz Loureiro Weigert
- Nephrology Department, Hospital Santa Cruz, Carnaxide, Portugal; Pharmacology Department, School of Medicine, University of Lisbon, Lisbon, Portugal
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ALTINIŞIK HB, ALTINIŞIK U, AŞIK M. SIRS tanılı hastalarda enflamasyon ve kemik döngüsü arasındaki ilişkinin sklerostin ve Dickkopf-1 (DKK-1) düzeyleri ile değerlendirilmesi. FAMILY PRACTICE AND PALLIATIVE CARE 2022. [DOI: 10.22391/fppc.1102573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction: In intensive care units (ICU), patients remain bedridden for a long time. In addition, severe infections are frequently seen in ICUs. Both prolonged immobilization and serious infections are associated with bone tissue loss. The Wnt pathway has recently been focused on evaluating bone tissue loss. The Wnt pathway participates in both infections and the formation of bone tissue. Wnt pathway inhibitors sclerostin and Dickkopf-1 (DKK-1) inhibit bone formation and increase osteoclastic activity. In this study, we aimed to examine bone turnover by the Wnt inhibitors sclerostin and DKK-1 and their possible associations with inflammation in SIRS patients.Methods: We included 30 patients diagnosed with systemic inflammatory response syndrome (SIRS) in the study group and 16 in the control group. Serum sclerostin, DKK-1, white blood cell (WBC), and C-Reactive Protein (CRP) levels on the day of SIRS diagnosis (basal), the 7th, 14th, and 21stdays were evaluated in the study group, and the results were compared with the control group.Results: When the control group was compared with the basal SIRS, there was a significant elevation in both sclerostin (p=0.003) and DKK-1 (p=0.001). Statistical analysis showed significant decreases in sclerostin levels between basal and the 7th, 14th, and 21st days (p=0.033, p=0.003, p=0.002, respectively). Similarly, significant decreases in DKK-1 levels between basal and the 7th and 21st days (p=0.015, p=0.001, respectively) and an insignificant decrease on the 14th day (p=0.191) was observed. Sclerostin was positively and significantly correlated with WBC and CRP in basal and 7th-day measurements and WBC in 7th and 14th days. DKK-1 is positively and significantly correlated with WBC in basal and 7th-daymeasurements, while DKK-1 negatively correlates with CRP in basal-7th-day measurements.Conclusion: In this study, it was shown for the first time that the Wnt antagonists sclerostin and DKK-1 values are high in SIRS patients in ICU. Both biomarker levels decreased in parallel with the treatment. However, it could not be associated with disease severity and inflammatory marker levels. We believe that monitoring the change of Wnt antagonists will be useful in demonstrating bone turnover in patients with SIRS.Keywords: Dickkopf-1, Intensive care unit, Sclerostin, Systemic inflammatory response syndrome, Wnt signaling pathway, Bone turnover
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Affiliation(s)
- Hatice Betül ALTINIŞIK
- Department of Anesthesiology and Reanimation, Faculty of Medicine, Canakkale Onsekiz Mart University, Canakkale
| | - Uğur ALTINIŞIK
- Department of Anesthesiology and Reanimation, Birinci International Hospital, Istanbul
| | - Mehmet AŞIK
- Department of Endocrinology And Metabolic Diseases, Mugla
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Etelcalcetide controls secondary hyperparathyroidism and raises sclerostin levels in hemodialysis patients previously uncontrolled with cinacalcet. Nefrologia 2021. [DOI: 10.1016/j.nefro.2021.09.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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Li SS, Zhang ZQ, He DW, He AL, Liu QF. Meta-analysis of the association between sclerostin level and adverse clinical outcomes in patients undergoing maintenance haemodialysis. Ther Adv Chronic Dis 2021; 12:2040622320967148. [PMID: 34471512 PMCID: PMC8404645 DOI: 10.1177/2040622320967148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Accepted: 09/25/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Studies regarding the relationship of sclerostin (Scl) with clinical outcomes in patients undergoing maintenance haemodialysis have yielded controversial findings. This meta-analysis was performed to investigate the predictive role of Scl in this patient population. METHODS Several electronic medical databases (e.g. PubMed, Embase, Web of Science and Cochrane Library) were searched for eligible studies through December 20, 2019. Summary hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated based on Scr level (high or low) using a random or fixed effects model. RESULTS From among 641 initially screened publications, 16 eligible studies were included in this meta-analysis. A high Scl level was not associated with cardiovascular events [HR = 0.8 (95% CI, 0.42-1.35)] or all-cause mortality [HR = 0.93 (95% CI, 0.56-1.54)]. There was high heterogeneity, but no evidence of publication bias. Interestingly, a high Scl level was associated with reduced cardiovascular events [HR = 0.44 (95% CI, 0.29-0.69)] in the subgroup by shorter follow-up period or all-cause mortality [pooled HR = 0.58 (95% CI, 0.36-0.91)] by shorter dialysis vintage. CONCLUSION This meta-analysis indicated that a high Scl level did not predict total clinical outcomes in patients undergoing maintenance haemodialysis despite survival benefits in the subgroups. The predictive role of Scl in these patients should be further evaluated in large prospective studies.
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Affiliation(s)
- Sha-Sha Li
- Clinical Research & Lab Centre, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China Immunology Laboratory, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China
| | - Zhi-Qin Zhang
- Biobank, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China
| | - Da-Wei He
- Clinical Research & Lab Centre, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, China
| | - Ao-Lin He
- Clinical Research & Lab Centre, Affiliated Kunshan Hospital of Jiangsu University, 91 Qianjin West Road, Kunshan, Jiangsu, 215300, China
| | - Qi-Feng Liu
- Department of Nephrology, Affiliated Kunshan Hospital of Jiangsu University, 91 Qianjin West Road, Kunshan, Jiangsu, 215300, China
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Huo Z, Liu X, Wu Y, Liang Y, Xu R, Ma Y, Song L, Shen J, Tang X. Development of chemiluminescence method based on serum type I collagen hydroxyl terminal peptide β special sequence (β-CTX). Scandinavian Journal of Clinical and Laboratory Investigation 2021; 81:494-501. [PMID: 34325600 DOI: 10.1080/00365513.2021.1952484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
The objective of this work is to develop and verify the analytical performance of a chemiluminescence immunoassay for the specific sequence β-carboxy-terminal cross-linking telopeptide of type I collagen (β-CTX) in human serum. Two specific monoclonal antibodies (mAb-8A03 and mAb-3D12) with high affinity for β-CTX were selected, and, under optimized conditions, a chemiluminescence immunoassay method (CLIA) for β-CTX was established. The CLIA of β-CTX detected β-CTX in a wide range of 2.0-6000 ng/L. The recovery rate in serum is 95-105%, the specificity is high, and the cross-reaction rate with common easily interfering substances is low (not more than 0.01%). The CLIA correlates well with Roche electrochemiluminescence immunoassay (ECLIA), with a correlation coefficient of 0.9551, which fully meets the requirements of clinical analysis. The developed β-CTX CLIA kit has high sensitivity and good stability. It has the same performance as the commercial Roche ECLIA kit and can be applied clinically.
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Affiliation(s)
- Zhen Huo
- Medcial School, Anhui University of Science & Technology, Huainan, China.,Institute of Environment-Friendly Materials and Occupational Health, Anhui University of Science and Technology, Wuhu, China
| | - Xueke Liu
- Department of Clinical Laboratory Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China
| | - Yongfeng Wu
- Department of Clinical Laboratory Medicine, Yijishan Hospital, Wannan Medical College, Wuhu, China
| | - Yong Liang
- Huai'an Hospital, Xuzhou Medical College and Huai'an Second Hospital, Huai'an, China
| | - Ruyue Xu
- Medcial School, Anhui University of Science & Technology, Huainan, China.,Institute of Environment-Friendly Materials and Occupational Health, Anhui University of Science and Technology, Wuhu, China
| | - Yongfang Ma
- Medcial School, Anhui University of Science & Technology, Huainan, China.,Institute of Environment-Friendly Materials and Occupational Health, Anhui University of Science and Technology, Wuhu, China
| | - Li Song
- Medcial School, Anhui University of Science & Technology, Huainan, China.,Institute of Environment-Friendly Materials and Occupational Health, Anhui University of Science and Technology, Wuhu, China
| | - Jing Shen
- Medcial School, Anhui University of Science & Technology, Huainan, China.,Institute of Environment-Friendly Materials and Occupational Health, Anhui University of Science and Technology, Wuhu, China
| | - Xiaolong Tang
- Medcial School, Anhui University of Science & Technology, Huainan, China.,Institute of Environment-Friendly Materials and Occupational Health, Anhui University of Science and Technology, Wuhu, China
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Ahn SH, Ko MM, Song JH, Jung JH. Changes in plasma sclerostin level associated with use of a medium cut-off dialyzer in end-stage renal disease. Kidney Res Clin Pract 2021; 40:120-134. [PMID: 33745263 PMCID: PMC8041631 DOI: 10.23876/j.krcp.20.173] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 12/01/2020] [Indexed: 12/04/2022] Open
Abstract
Background Larger middle molecules are important substances associated with cardiovascular complications in end- stage renal disease. Unfortunately, larger middle molecules are not reliably removed by a high -flux dialyzer. A medium cut-off (MCO) membrane could effectively remove larger middle molecules. This study aimed to identify the long-term effect of the MCO membrane for changes of larger middle molecules. Methods Thirty-four patients were prospectively analyzed for 12 months. The enrolled patients were divided into control and MCO groups. We measured the plasma levels of growth differentiation factor 15, sclerostin, and fibroblast growth factor 23 in larger middle molecules and those of biomarkers including small solutes. Single-pool Kt/V (spKt/V) and reduction ratios also were evaluated. Results Plasma sclerostin did not increase significantly in patients using the MCO dialyzer (135.294 [–637.726 to 908.314], p = 0.715). And there was a significant difference in change of plasma sclerostin level between the two groups (–1,646.916 [–3,015.150 to –278.682], p = 0.033). Furthermore, a negative association between calcium and sclerostin was not observed in the MCO group (r = –0.142, p = 0.587). Solute clearance of larger middle molecules in the MCO group was significantly higher. Moreover, spKt/V values for patients in the MCO group were significantly increased without albumin loss. Values are presented as mean (95% confidence interval [CI]) or adjusted mean (95% CI). Conclusion The MCO dialyzer can increase dialytic adequacy and suppress the increase in plasma sclerostin level without significant albumin loss in patients with end-stage renal disease.
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Affiliation(s)
- Seon-Ho Ahn
- Division of Nephrology, Department of Internal Medicine, Wonkwang University Hospital, Wonkwang University School of Medicine Hospital, Iksan, Republic of Korea
| | - Mi Mi Ko
- KM Fundamental Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Ju Hung Song
- Division of Nephrology, Department of Internal Medicine, Wonkwang University Hospital, Wonkwang University School of Medicine Hospital, Iksan, Republic of Korea
| | - Jong Hwan Jung
- Division of Nephrology, Department of Internal Medicine, Wonkwang University Hospital, Wonkwang University School of Medicine Hospital, Iksan, Republic of Korea
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12
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Aditya S, Rattan A. Sclerostin inhibition: A novel target for the treatment of postmenopausal osteoporosis. J Midlife Health 2021; 12:267-275. [PMID: 35264832 PMCID: PMC8849148 DOI: 10.4103/jmh.jmh_106_20] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 01/15/2021] [Accepted: 12/11/2021] [Indexed: 11/29/2022] Open
Abstract
Osteoporosis, a widespread skeletal disorder with a substantial economic load, is characterized by increased porosity of the bones resulting in vulnerability to fractures. When activated, the canonical Wnt signaling pathway results in osteoblastogenesis and bone formation. A Wnt ligand forms a complex with low-density lipoprotein receptor-related proteins 5 and 6 (Lrp5/6) and stimulates intracellular signaling cascades, leading to nuclear translocation of β-catenin and transcription of downstream molecules involved in osteoblast differentiation, maturation, and survival. Sclerostin (SOST), a glycoprotein produced by osteocytes, is an extracellular Wnt antagonist that blocks the binding of Wnt ligands to Lrp5/6, preventing the activation of the pathway and osteoblast-mediated bone formation subsequently. Inhibition of SOST represents a new therapeutic paradigm for the treatment of osteoporosis. Monoclonal antibodies to SOST include romosozumab, blosozumab, and setrusumab. With its unique dual effect of increasing bone formation (anabolic action) and decreasing bone resorption, the Food and Drug Administration approved romosozumab, a promising new treatment for postmenopausal osteoporosis. Its efficacy and safety have been established in trials. However, patients at high risk of cardiovascular or cerebrovascular events should not be prescribed romosozumab.
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13
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Zeng S, Slowinski T, Pommer W, Hasan AA, Gaballa MMS, Lu Y, Krämer BK, Hocher B. Sclerostin is an independent risk factor for all-cause mortality in kidney transplant recipients. Clin Exp Nephrol 2020; 24:1177-1183. [PMID: 32816133 PMCID: PMC7599189 DOI: 10.1007/s10157-020-01956-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 08/07/2020] [Indexed: 12/31/2022]
Abstract
Background Sclerostin is a hormone contributing to the bone-vascular wall cross talk and has been implicated in cardiovascular events and mortality in patients with chronic kidney disease (CKD). We analyzed the relationship between sclerostin and mortality in renal transplant recipients. Methods 600 stable renal transplant recipients (367men, 233 women) were followed for all-cause mortality for 3 years. Blood and urine samples for analysis and clinical data were collected at study entry. We performed Kaplan–Meier survival analysis and Cox regression models considering confounding factors such as age, eGFR, cold ischemia time, HbA1c, phosphate, calcium, and albumin. Optimal cut-off values for the Cox regression model were calculated based on ROC analysis. Results Sixty-five patients died during the observation period. Nonsurvivors (n = 65; sclerostin 57.31 ± 30.28 pmol/L) had higher plasma sclerostin levels than survivors (n = 535; sclerostin 47.52 ± 24.87 pmol/L) (p = 0.0036). Kaplan–Meier curve showed that baseline plasma sclerostin concentrations were associated with all-cause mortality in stable kidney transplant recipients (p = 0.0085, log-rank test). After multiple Cox regression analysis, plasma levels of sclerostin remained an independent predictor of all-cause mortality (hazard ratio, 1.011; 95% CI 1.002–1.020; p = 0.0137). Conclusions Baseline plasma sclerostin is an independent risk factor for all-cause mortality in patients after kidney transplantation. Electronic supplementary material The online version of this article (10.1007/s10157-020-01956-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shufei Zeng
- Department of Nephrology, Charité-Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany.,Fifth Department of Medicine (Nephrology/Endocrinology/Rheumatology), University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Torsten Slowinski
- Department of Nephrology, Charité-Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Wolfgang Pommer
- KfH Kuratorium für Dialyse und Nierentransplantation e.V., Bildungszentrum, Neu-Isenburg, Germany
| | - Ahmed A Hasan
- Fifth Department of Medicine (Nephrology/Endocrinology/Rheumatology), University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany.,Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Mohamed M S Gaballa
- Fifth Department of Medicine (Nephrology/Endocrinology/Rheumatology), University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany.,Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.,Faculty of Veterinary Medicine, Benha University, Moshtohor, Toukh, Egypt
| | - Yongping Lu
- Fifth Department of Medicine (Nephrology/Endocrinology/Rheumatology), University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany.,Department of Nephrology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Bernhard K Krämer
- Fifth Department of Medicine (Nephrology/Endocrinology/Rheumatology), University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Berthold Hocher
- Fifth Department of Medicine (Nephrology/Endocrinology/Rheumatology), University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany. .,Institute of Medical Diagnostics, IMD Berlin, Berlin, Germany. .,Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China. .,Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China.
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14
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Osteocyte-Related Cytokines Regulate Osteoclast Formation and Bone Resorption. Int J Mol Sci 2020; 21:ijms21145169. [PMID: 32708317 PMCID: PMC7404053 DOI: 10.3390/ijms21145169] [Citation(s) in RCA: 208] [Impact Index Per Article: 41.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 07/16/2020] [Accepted: 07/20/2020] [Indexed: 01/18/2023] Open
Abstract
The process of bone remodeling is the result of the regulated balance between bone cell populations, namely bone-forming osteoblasts, bone-resorbing osteoclasts, and the osteocyte, the mechanosensory cell type. Osteoclasts derived from the hematopoietic stem cell lineage are the principal cells involved in bone resorption. In osteolytic diseases such as rheumatoid arthritis, periodontitis, and osteoporosis, the balance is lost and changes in favor of bone resorption. Therefore, it is vital to elucidate the mechanisms of osteoclast formation and bone resorption. It has been reported that osteocytes express Receptor activator of nuclear factor κΒ ligand (RANKL), an essential factor for osteoclast formation. RANKL secreted by osteocytes is the most important factor for physiologically supported osteoclast formation in the developing skeleton and in pathological bone resorption such as experimental periodontal bone loss. TNF-α directly enhances RANKL expression in osteocytes and promotes osteoclast formation. Moreover, TNF-α enhances sclerostin expression in osteocytes, which also increases osteoclast formation. These findings suggest that osteocyte-related cytokines act directly to enhance osteoclast formation and bone resorption. In this review, we outline the most recent knowledge concerning bone resorption-related cytokines and discuss the osteocyte as the master regulator of bone resorption and effector in osteoclast formation.
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15
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Zhao B, Chen A, Wang H, Cui J, Sun Y, Xu L, Mao Y. The relationship between sclerostin and carotid artery atherosclerosis in patients with stage 3-5 chronic kidney disease. Int Urol Nephrol 2020; 52:1329-1336. [PMID: 32458213 PMCID: PMC7314717 DOI: 10.1007/s11255-020-02495-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 05/02/2020] [Indexed: 01/26/2023]
Abstract
PURPOSE Sclerostin is an antagonist of the Wnt/β-catenin pathway. We previously reported that sclerostin is closely related to carotid artery atherosclerosis and long-term outcome in hemodialysis patients. The present study investigated the association between sclerostin, renal function, and carotid artery atherosclerosis in non-dialysis patients with stage 3-5 chronic kidney disease (CKD 3-5ND). METHODS A total of 140 patients with CKD 3-5ND were enrolled in this cross-sectional study. The Chronic Kidney Disease Epidemiology Collaboration equation was used to calculate estimated glomerular filtration rate (eGFR). Atherosclerotic plaques in the carotid artery were detected by B-mode Doppler ultrasound. Blood samples were collected to assess serum sclerostin levels. Unconditional logistic regression analysis was used to identify risk factors for carotid atherosclerotic plaques. RESULTS The median eGFR was 24.9 ml/min/1.73 m2 (interquartile range [IQR] 10.0-40.3 ml/min/1.73 m2) and median serum sclerostin level was 46.76 pmol/l (IQR 30.18-67.56 pmol/l). Carotid atherosclerotic plaques were detected in 104 subjects (74.3%). There was a negative association between sclerostin level and eGFR (r = - 0.214, p = 0.011). Unconditional logistic regression analysis revealed that sclerostin level was an independent risk factor for the occurrence of carotid plaques, with an odds ratio (95% confidence interval) of 1.026 (1.003, 1.051). CONCLUSION Serum sclerostin increases with declining renal function in patients with CKD 3-5ND. Sclerostin is an independent risk factor for carotid atherosclerosis.
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Affiliation(s)
- Ban Zhao
- The Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Aiqun Chen
- The Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Haitao Wang
- The Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Ju Cui
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
| | - Ying Sun
- The Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Lengnan Xu
- The Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China
| | - Yonghui Mao
- The Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, People's Republic of China.
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16
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Liu Y, Munteanu CR, Yan Q, Pedreira N, Kang J, Tang S, Zhou C, He Z, Tan Z. Machine learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins in goats. PeerJ 2019; 7:e7840. [PMID: 31649832 PMCID: PMC6802673 DOI: 10.7717/peerj.7840] [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] [Received: 05/22/2019] [Accepted: 09/05/2019] [Indexed: 11/20/2022] Open
Abstract
Background In developing countries, maternal undernutrition is the major intrauterine environmental factor contributing to fetal development and adverse pregnancy outcomes. Maternal nutrition restriction (MNR) in gestation has proven to impact overall growth, bone development, and proliferation and metabolism of mesenchymal stem cells in offspring. However, the efficient method for elucidation of fetal bone development performance through maternal bone metabolic biochemical markers remains elusive. Methods We adapted goats to elucidate fetal bone development state with maternal serum bone metabolic proteins under malnutrition conditions in mid- and late-gestation stages. We used the experimental data to create 72 datasets by mixing different input features such as one-hot encoding of experimental conditions, metabolic original data, experimental-centered features and experimental condition probabilities. Seven Machine Learning methods have been used to predict six fetal bone parameters (weight, length, and diameter of femur/humerus). Results The results indicated that MNR influences fetal bone development (femur and humerus) and fetal bone metabolic protein levels (C-terminal telopeptides of collagen I, CTx, in middle-gestation and N-terminal telopeptides of collagen I, NTx, in late-gestation), and maternal bone metabolites (low bone alkaline phosphatase, BALP, in middle-gestation and high BALP in late-gestation). The results show the importance of experimental conditions (ECs) encoding by mixing the information with the serum metabolic data. The best classification models obtained for femur weight (Fw) and length (FI), and humerus weight (Hw) are Support Vector Machines classifiers with the leave-one-out cross-validation accuracy of 1. The rest of the accuracies are 0.98, 0.946 and 0.696 for the diameter of femur (Fd), diameter and length of humerus (Hd, Hl), respectively. With the feature importance analysis, the moving averages mixed ECs are generally more important for the majority of the models. The moving average of parathyroid hormone (PTH) within nutritional conditions (MA-PTH-experim) is important for Fd, Hd and Hl prediction models but its removal for enhancing the Fw, Fl and Hw model performance. Further, using one feature models, it is possible to obtain even more accurate models compared with the feature importance analysis models. In conclusion, the machine learning is an efficient method to confirm the important role of PTH and BALP mixed with nutritional conditions for fetal bone growth performance of goats. All the Python scripts including results and comments are available into an open repository at https://gitlab.com/muntisa/goat-bones-machine-learning.
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Affiliation(s)
- Yong Liu
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Cristian R Munteanu
- RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, A Coruña, Spain.,Biomedical Research Institute of A Coruña (INIBIC), University Hospital Complex of A Coruña (CHUAC), A Coruña, Spain
| | - Qiongxian Yan
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Nieves Pedreira
- RNASA-IMEDIR, Computer Science Faculty, University of A Coruna, A Coruña, Spain
| | - Jinhe Kang
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Shaoxun Tang
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Chuanshe Zhou
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Zhixiong He
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
| | - Zhiliang Tan
- CAS Key Laboratory for Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan, China
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17
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Abstract
The causes of the increased cardiovascular risk associated with kidney diseases partly reside in the chronic kidney disease-mineral bone disorder (CKD-MBD) syndrome. Three cardiovascular risk factors [hyperphosphatemia, vascular calcification, and elevated fibroblast growth factor 23 (FGF23)] levels have been discovered within the CKD-MBD over the last decades. In addition, sclerostin is recently presented as a new bone and vascular disease biomarker. This 22-kDa glycoprotein, secreted mainly by osteocytes, is a soluble inhibitor of the canonical Wnt pathway that has a pivotal role in bone biology and turnover. CKD patients are reported with higher levels of sclerostin, and levels decrease during dialysis. Sclerostin is associated with vascular calcification and CV risk in CKD, although data are still controversial. The question whether serum sclerostin has protective or deleterious role in CKD-MBD pathophysiology, and therefore in cardiovascular risk and overall mortality, is still open and needs to be answered. The standardization of assays and the establishment of a clear cut-off values when sclerostin starts to switch from physiological to pathophysiological role have to be another important step. Further research is needed also to define its relationship with other CKD-MBD biomarkers for future diagnostic and therapeutic strategies.
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18
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Yang J, Xu S, Chen M, Yuan Y, Zhang X, Ma Y, Wu M, Han R, Hu X, Liu R, Deng J, Guan S, Gao X, Pan M, Xu S, Shuai Z, Jiang S, Guan S, Chen L, Pan F. Serum Sclerostin and Bone Morphogenetic Protein-2 Levels in Patients with Ankylosing Spondylitis: A Meta-Analysis. Calcif Tissue Int 2019; 105:37-50. [PMID: 30911810 DOI: 10.1007/s00223-019-00542-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 03/16/2019] [Indexed: 12/17/2022]
Abstract
Various studies have investigated the serum sclerostin and bone morphogenetic protein-2 (BMP-2) levels in patients with ankylosing spondylitis (AS), but the results were inconsistent. The aim of this meta-analysis was to synthetically assess the associations of serum levels of sclerostin and BMP-2 with AS. Multiple electronic databases were searched to locate relevant articles published before November 2018. Pooled standard mean difference (SMD) with 95% confidence interval (CI) was calculated by the random-effect model. Totally, 21 studies were included. Meta-analysis results showed no significant difference between AS group and control group in serum sclerostin levels (SMD = 0.098, 95% CI - 0.395 to 0.591, p = 0.697). Nevertheless, serum BMP-2 levels in AS patients were higher than that in controls (SMD = 1.184, 95% CI 0.209 to 2.159, p = 0.017). Subgroup analysis demonstrated that European and South American AS patients had lower serum levels of sclerostin than controls. AS patients with age ≥ 40 years, erythrocyte sedimentation rate (ESR) ≤ 20 mm/h and Bath Ankylosing Spondylitis Functional Index (BASFI) < 4 had statistically significant lower serum sclerostin concentrations compared to controls. Chinese and Korean AS patients as well as patients with lower CRP had higher serum BMP-2 levels than controls, and country may be a source of heterogeneity across the studies. No publication bias existed and sensitivity analysis confirmed the stability of results. Serum BMP-2, but not sclerostin levels may be closely related to the development of AS.
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Affiliation(s)
- Jiajia Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Shanshan Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Mengya Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Yaping Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Meng Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Renfang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xingxing Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Rui Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Jixiang Deng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Shiyang Guan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Xing Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China
| | - Meijuan Pan
- Department of Rheumatism and Immunity, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, People's Republic of China
| | - Shengqian Xu
- Department of Rheumatism and Immunity, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, People's Republic of China
| | - Zongwen Shuai
- Department of Rheumatism and Immunity, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, People's Republic of China
| | - Shanqun Jiang
- School of Life Sciences, Anhui University, 111 Jiulong Road, Hefei, 230601, People's Republic of China
| | - Shihe Guan
- Department of Clinical Laboratory, The Second Hospital of Anhui Medical University, NO. 678#, Furong Road, Hefei, 230601, Anhui, People's Republic of China
| | - Liwen Chen
- Department of Clinical Laboratory, The Second Hospital of Anhui Medical University, NO. 678#, Furong Road, Hefei, 230601, Anhui, People's Republic of China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
- The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, 230032, Anhui, People's Republic of China.
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Abstract
PURPOSE OF REVIEW An elevated level of pro-inflammatory cytokines in inflammatory conditions causes bone loss and disrupts vital organ function. Osteocytes comprise > 95% of the cellular component in bone tissue, produce a range of cytokines and signaling molecules, and influence bone and other organ function. In this review, we hypothesized that an elevated level of pro-inflammatory cytokines in inflammatory conditions affects osteocyte survival and function thereby possibly amplifying inflammation, and causing bone loss and non-bone clinical complications. RECENT FINDINGS Several studies have reported that the elevated level of pro-inflammatory cytokines in inflammatory conditions alters osteocyte mechanosensitivity, causes osteocyte apoptosis, and modulates osteocyte-derived production of various inflammatory cytokines and signaling molecules. Cytokines and signaling molecules released from osteocytes affect surrounding bone cells and distant organ function in a paracrine and endocrine fashion. Inflammatory diseases including diabetes, chronic kidney disease, rheumatoid arthritis, and periodontitis affect osteocyte survival and function, and upregulate osteocyte-derived expression of sclerostin, RANKL, TNFα, FGF23, DKK1, and other signaling molecules.
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Affiliation(s)
- Miao Zhou
- Key Laboratory of Oral Medicine, Guangzhou Institute of Oral Disease, Affiliated Stomatology Hospital of Guangzhou Medical University, Huangsha Avenue 39, Guangzhou, 510140, China
| | - Shuyi Li
- Key Laboratory of Oral Medicine, Guangzhou Institute of Oral Disease, Affiliated Stomatology Hospital of Guangzhou Medical University, Huangsha Avenue 39, Guangzhou, 510140, China
| | - Janak L Pathak
- Key Laboratory of Oral Medicine, Guangzhou Institute of Oral Disease, Affiliated Stomatology Hospital of Guangzhou Medical University, Huangsha Avenue 39, Guangzhou, 510140, China.
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20
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Figurek A, Spasovski G. What is the place of sclerostin in chronic kidney disease, atherosclerosis, and ageing? Int Urol Nephrol 2019; 51:897-898. [DOI: 10.1007/s11255-019-02132-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Accepted: 03/12/2019] [Indexed: 10/27/2022]
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