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Biedroń G, Czepiel M, Siedlar M, Korkosz M. Serum concentration of dickkopf-related protein 1 (DKK1) in psoriatic arthritis in the context of bone remodelling. Rheumatol Int 2023; 43:2175-2183. [PMID: 37750896 PMCID: PMC10587027 DOI: 10.1007/s00296-023-05452-w] [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: 08/06/2023] [Accepted: 08/30/2023] [Indexed: 09/27/2023]
Abstract
Psoriatic arthritis (PsA) is a chronic inflammatory disease, characterised by the pathological occurrence of two opposite phenomena-osteoresorption and osteogenesis. Dickkopf-related protein 1 (DKK1) which inhibits the Wingless protein (Wnt) signalling pathway has been shown to be a master regulator of bone remodeling in inflammatory rheumatic diseases. However, the exact relationship between DKK1 serum level and bone remodelling is not clear. The goal of this study is to review state-of-the-art knowledge on the association of serum DKK1 with a bone remodelling in PsA. The MEDLINE-PubMed, EMBASE, Scopus, Web of Science and DOAJ databases were searched for appropriate papers. The English terms: 'DKK1', 'Dickkopf-1' 'Dickkopf related protein 1', 'psoriatic arthritis' and 'PsA' were used for search purposes. Eight original articles and two reviews were identified up to August 2023. In four out of 8 discussed studies DKK1 serum level was higher in PsA patients than in healthy controls [Dalbeth, p < 0.01; Diani, p < 0.001; Chung, p < 0.01; Abd el Hamid, p < 0.001)], it was comparable in another (Daousiss, p = 0.430) and was lower in two (Fassio2017, p < 0.05; Fassio2019, p < 0.05). In one study, the comparative groups included patients with axial spondyloarthritis, where DKK1 serum levels were lower in PsA groups [Jadon, peripheral PsA, p = 0.01]. The true relative serum concentration of DKK1 in PsA, as well as its influence on osteogenesis and osteoresorption, is still equivocal. Further studies on this matter with consistent and stringent methodology are warranted.
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Affiliation(s)
- Grzegorz Biedroń
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Krakow, Poland
| | - Marcin Czepiel
- Department of Clinical Immunology, Institute of Pediatrics, Jagiellonian University Medical College, Krakow, Poland
| | - Maciej Siedlar
- Department of Clinical Immunology, Institute of Pediatrics, Jagiellonian University Medical College, Krakow, Poland
| | - Mariusz Korkosz
- Department of Rheumatology and Immunology, Jagiellonian University Medical College, Jakubowskiego 2, Krakow, Poland
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Fang X, Chen C, Wang ZX, Zhao Y, Jiang LQ, Fang Y, Zhang RD, Pan HF, Tao SS. Serum DKK-1 level in ankylosing spondylitis: insights from meta-analysis and Mendelian randomization. Front Immunol 2023; 14:1193357. [PMID: 37503346 PMCID: PMC10368999 DOI: 10.3389/fimmu.2023.1193357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 06/26/2023] [Indexed: 07/29/2023] Open
Abstract
Objective The purpose of this study was to precisely evaluate the serum Dickkopf-1 (DKK-1) level in patients with ankylosing spondylitis (AS) relative to that in normal controls and to test the causal relationship between DKK-1 and the risk of AS. Methods Embase, PubMed, Web of Science, WANFANG DATA, VIP, and China National Knowledge Infrastructure (CNKI) were comprehensively searched until July 2022 for pertinent studies. The pooled standardized mean difference (SMD) with a 95% confidence interval (CI) was calculated by the fixed or random-effect model. In Mendelian randomization (MR) analysis on the causal relationship between serum DKK-1 level and AS risk, the inverse variance weighting method (IVW), MR-Egger regression, weighted median method, and weighted pattern method were applied. Sensitivity analyses, including the horizontal pleiotropy test, heterogeneity test, and leave-one-out test, were also performed. Results The meta-analysis of 40 studies containing 2,371 AS patients and 1,633 healthy controls showed that there was no significant difference in DKK-1 serum level between AS patients and normal controls (pooled SMD=0.207, 95% CI =-0.418-0.832, P=0.516). The subgroup analysis of the CRP ≤ 10 mg/L group showed that AS patients had higher serum DKK-1 concentration than the healthy controls (SMD=2.267, 95% CI = 0.102-4.432, P=0.040). Similarly, MR analysis also demonstrated no significant association between DKK-1 serum level and AS (IVW OR=0.999, 95% CI = 0.989-1.008, P=0.800). All sensitivity analyses revealed consistent results. Conclusions There was no significant change in serum DKK-1 concentration between AS patients and healthy controls. In addition, no causal relationship exists between serum DKK-1 levels and AS risk.
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Affiliation(s)
- Xi Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Cong Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Zhi-Xin Wang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yan Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Ling-Qiong Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yang Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Ruo-Di Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Institute of Kidney Disease, Inflammation and Immunity Mediated Diseases, The Second Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Hai-Feng Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Sha-Sha Tao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
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Deng L, Zheng P. Thrombocytosis in patients with spondyloarthritis: a case-control study. BMC Musculoskelet Disord 2023; 24:195. [PMID: 36922788 PMCID: PMC10018826 DOI: 10.1186/s12891-023-06304-1] [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: 11/19/2022] [Accepted: 03/08/2023] [Indexed: 03/17/2023] Open
Abstract
OBJECTIVE This study aimed to investigate the clinical and laboratory as well as radiological features of spondyloarthritis (SpA) patients with thrombocytosis and to explore risk factor for thrombocytosis in SpA patients and to assess the effect of antitumor necrosis factor-α (anti-TNF-α) therapy on platelet count in SpA patients with thrombocytosis. METHODS A total of 145 patients with SpA were included in this study, and non-thrombocytosis was identified in 76 patients while thrombocytosis was found in 69 patients, 38 out of the 69 patients received anti-TNF-α therapy. Logistic regression analysis was performed to investigate risk factors that associated with thrombocytosis. The platelet count of patients in the thrombocytosis group treated with anti-TNF-α therapy on week 0, week 6 and week 12 were collected and compared with conventional therapy group. RESULTS The proportion of hip involvement (60.86% vs 36.84%, p = 0.004), bath ankylosing spondylitis disease activity index score (4.24 ± 0.55 vs 3.69 ± 0.67, p < 0.001), erythrocyte sedimentation rate (62.22 ± 41.97 mm/hour vs 27.00 ± 25.93 mm/hour, p < 0.001), C-reactive protein (53.45 ± 47.45 mg/L vs 18.91 ± 31.09 mg/L, p < 0.001), fibrinogen (5.77 ± 1.48 g/L vs 4.01 ± 1.32 g/L, P < 0.001), white blood cells (8.15 ± 1.90 × 109/L vs 6.85 ± 2.39 × 109/L, p < 0.001) and neutrophils (5.08 ± 1.55 × 109/L vs 4.01 ± 2.04 × 109/L, p = 0.001) are higher in thrombocytosis group, but hemoglobin and albumin are lower compared to non-thrombocytosis group (122.88 ± 17.25 g/L vs 131.51 ± 16.03 g/L, p = 0.002; 37.19 ± 4.73 g/L vs 39.67 ± 3.99 g/L, p = 0.001, respectively). Multivariable logistic regression analysis indicated that higher white blood cells (OR, 1.644; 95% CI, 1.045-2.587; P = 0.032) and fibrinogen (OR, 2.169; 95% CI, 1.237-3.804; P = 0.007) were independently associated with thrombocytosis in SpA patients. The platelet count in the thrombocytosis group treated with anti-TNF-α therapy on week 6 and week 12 were statistically lower than week 0 (225.05 ± 60.58 × 109/L vs 368.26 ± 54.34 × 109/L, p < 0.001; 201.26 ± 51.48 × 109/L vs 368.26 ± 54.34 × 109/L, p < 0.001) and conventional therapy (week 6, 225.05 ± 60.58 × 109/L vs 370.00 ± 74.05 × 109/L, p < 0.001; week 12, 201.26 ± 51.48 × 109/L vs 303.13 ± 71.49 × 109/L, p < 0.001). CONCLUSION SpA patients with thrombocytosis have a higher proportion of hip involvement and disease activity compared to non-thrombocytosis SpA patients. The potential risk factors for thrombocytosis in SPA patients were higher white blood cells and fibrinogen. Anti-TNF-α therapy can reduce the increased platelets more effectively and rapidly than conventional treatments in SpA patients with thrombocytosis.
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Affiliation(s)
- Linan Deng
- Department of Rheumatology, Fuzhou Second Hospital, 47 Shangteng Road, Cangshan District, Fuzhou, 350007, China.
| | - Pingping Zheng
- Department of Burns and Wounds, Fujian Medical University Union Hospital, Fuzhou, China
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Sen R, Kim E, Napier RJ, Cheng E, Fernandez A, Manning ES, Anderson ER, Maier KD, Hashim M, Kerr GS, Fang MA, Hou JK, Chang E, Walsh JA, Raychadhuri SP, Reimold A, Caplan L. Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio as Biomarkers in Axial Spondyloarthritis: Observational Studies From the Program to Understand the Longterm Outcomes in Spondyloarthritis Registry. Arthritis Rheumatol 2023; 75:232-241. [PMID: 36053919 PMCID: PMC9892177 DOI: 10.1002/art.42333] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/30/2022] [Accepted: 08/16/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVES This study was conducted to assess the utility of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in predicting radiographic sacroiliitis and active disease in axial spondyloarthritis (SpA) and to explore the association between use of a tumor necrosis factor inhibitor (TNFi) and these laboratory values compared with traditional inflammatory markers. METHODS Observational data from the Program to Understand the Longterm Outcomes in Spondyloarthritis (PULSAR) registry were analyzed. We generated receiver operating characteristic curves to calculate laboratory cutoff values; we used these values in multivariable logistic regression models to identify associations with radiographically confirmed sacroiliitis and active disease. We also used logistic regression to determine the likelihood of elevated laboratory values after initiation of TNFi. RESULTS Most study participants (n = 354) were White, male, and HLA-B27 positive. NLR (odds ratio [OR] 1.459, P = 0.034), PLR (OR 4.842, P < 0.001), erythrocyte sedimentation rate (OR 4.397, P < 0.001), and C-reactive protein (CRP) level (OR 2.911, P = 0.001) were independent predictors of radiographic sacroiliitis. Models that included PLR with traditional biomarkers performed better than those with traditional biomarkers alone. NLR (OR 6.931, P = 0.002) and CRP (OR 2.678, P = 0.004) were predictors of active disease, but the model that included both NLR and CRP performed better than CRP alone. TNFi use reduced the odds of elevated NLR (OR 0.172, P < 0.001), PLR (OR 0.073, P < 0.001), erythrocyte sedimentation rate (OR 0.319, P < 0.001), and CRP (OR 0.407, P < 0.001), but models that included NLR or PLR and traditional biomarkers performed best. CONCLUSIONS These findings demonstrate an association between NLR and PLR and sacroiliitis and disease activity, with NLR and PLR showing response after TNFi treatment and adding useful clinical information to established biomarkers, thus perhaps assisting in management of axial SpA.
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Affiliation(s)
- Rouhin Sen
- Rocky Mountain Regional VAMC, and University of Colorado School of Medicine, Denver, Colorado
| | - Emmeline Kim
- Rocky Mountain Regional VAMC, and University of Colorado School of Medicine, Denver, Colorado
| | - Ruth J Napier
- Portland VAMC and Oregon Health Sciences University, Portland
| | - Elizabeth Cheng
- Rocky Mountain Regional VAMC, and University of Colorado School of Medicine, Denver, Colorado
| | - Andrea Fernandez
- Rocky Mountain Regional VAMC, and University of Colorado School of Medicine, Denver, Colorado
| | - Evan S Manning
- Rocky Mountain Regional VAMC, and University of Colorado School of Medicine, Denver, Colorado
| | | | - Kyle D Maier
- San Antonio Military Medical Center, San Antonio, Texas
| | - Mena Hashim
- Rocky Mountain Regional VAMC, and University of Colorado School of Medicine, Denver, Colorado
| | - Gail S Kerr
- Georgetown University Hospital, Howard University Hospital, and Washington DC VAMC, Washington, DC
| | - Meika A Fang
- West Los Angeles VAMC, and David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Jason K Hou
- Houston VAMC and Baylor College of Medicine, Houston, Texas
| | | | - Jessica A Walsh
- Salt Lake City VAMC and University of Utah Hospital, Salt Lake City
| | | | - Andreas Reimold
- Dallas VAMC and University of Texas Southwestern Medical Center, Dallas
| | - Liron Caplan
- Rocky Mountain Regional VAMC, and University of Colorado School of Medicine, Denver, Colorado
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Yuan W, Song C. Crosstalk between bone and other organs. MEDICAL REVIEW (BERLIN, GERMANY) 2022; 2:331-348. [PMID: 37724328 PMCID: PMC10471111 DOI: 10.1515/mr-2022-0018] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/06/2022] [Indexed: 09/20/2023]
Abstract
Bone has long been considered as a silent organ that provides a reservoir of calcium and phosphorus, traditionally. Recently, further study of bone has revealed additional functions as an endocrine organ connecting systemic organs of the whole body. Communication between bone and other organs participates in most physiological and pathological events and is responsible for the maintenance of homeostasis. Here, we present an overview of the crosstalk between bone and other organs. Furthermore, we describe the factors mediating the crosstalk and review the mechanisms in the development of potential associated diseases. These connections shed new light on the pathogenesis of systemic diseases and provide novel potential targets for the treatment of systemic diseases.
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Affiliation(s)
- Wanqiong Yuan
- Department of Orthopedics, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China
| | - Chunli Song
- Department of Orthopedics, Peking University Third Hospital, Beijing, China
- Beijing Key Laboratory of Spinal Disease, Beijing, China
- Engineering Research Center of Bone and Joint Precision Medicine, Beijing, China
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