1
|
Hussein R, Aboukhamis I. The association of serum RANKL levels with disease activity and hematological parameters in Syrian patients with rheumatoid arthritis. Biochem Biophys Rep 2022; 32:101373. [PMID: 36304516 PMCID: PMC9593879 DOI: 10.1016/j.bbrep.2022.101373] [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: 07/07/2022] [Revised: 10/12/2022] [Accepted: 10/17/2022] [Indexed: 11/09/2022] Open
Abstract
Our study aims to detect whether the serum RANKL could be a novel potential biomarker for activity and diagnosis of rheumatoid arthritis (RA). It included fifty-eight of RA patients and thirty of equal age and sex matched controls. Disease activity was determined by using DAS28-ESR. Serum Levels of RANKL were assayed by ELISA and compared with parameters such as ESR, CRP, Rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibodies (ACPA). The serum RANKL levels were higher in RA patients compared to controls. There was an increase in its levels mean among post-menopausal patients compared to post-menopausal healthy group. RANKL levels were also higher in ACPA positive patients than ACPA negative. Our study found a correlation between RANKL levels and some parameters: DAS28, ACPA, CRP, and symptom duration. There was a moderate inverse correlation between RANKL levels and BMD. By ROC curve, our results displayed that the best cut-off value of RANKL was 178.99 pg/ml (sensitivity 79.31%; specificity 90%) to differentiate between RA patients and controls. In conclusion, elevated serum RANKL can be used as an indicator of disease activity and a diagnostic new biomarker in patients with early RA. Rheumatoid arthritis (RA) is categorized by chronic synovitis leads to cartilage degradation, and bone erosions. RANKL/RANK/OPG pathway stimulates osteoclasts and bone resorption. ACPA are associated with bone erosions. Serum RANKL correlates disease activity of Rheumatoid Arthritis. Serum RANKL is an innovative indicator in of Rheumatoid Arthritis patients.
Collapse
Affiliation(s)
- Rama Hussein
- Department of Microbiology, Hematology and Immunology, Faculty of Pharmacy, Damascus University, Syria
- Corresponding author.
| | - Imad Aboukhamis
- Department of Microbiology, Hematology and Immunology, Faculty of Pharmacy, Damascus University, Syria
- Department of Hematology and Immunology, Faculty of Pharmacy, Damascus University, Syria
| |
Collapse
|
3
|
曹 迪, 王 燕, 王 柳, 孙 晓, 黄 妃, 孟 洋, 任 丽, 张 学. [Expression of plasma Dickkopf-1 in patients with rheumatoid arthritis and its correlation with peripheral blood T cell subsets]. BEIJING DA XUE XUE BAO. YI XUE BAN = JOURNAL OF PEKING UNIVERSITY. HEALTH SCIENCES 2020; 53:255-260. [PMID: 33879894 PMCID: PMC8072444 DOI: 10.19723/j.issn.1671-167x.2021.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Indexed: 06/12/2023]
Abstract
OBJECTIVE To detect the levels of Dickkopf-1 (DKK-1) in the plasma of patients with rheumatoid arthritis (RA), and to analyze their correlation with peripheral blood T cell subsets and clinical indicators. METHODS Enzyme-linked immunosorbent assay (ELISA) was used to detect plasma DKK-1 levels in 32 RA patients and 20 healthy controls, and to record the various clinical manifestations and laboratory indicators of the RA patients, and flow cytometry to detect peripheral blood T cell subsets in the RA patients (Including Treg, nTreg, aTreg, sTreg, Teff, Tfh, CD4+CD161+T, CD8+T, CD8+CD161+T cells). The plasma DKK-1 levels between the two groups were ompared, and its correlation with peripheral blood T cell subsets and clinical indicators analyzed. RESULTS (1) The plasma DKK-1 concentration of the RA patients was (124.97±64.98) ng/L. The plasma DKK-1 concentration of the healthy control group was (84.95±13.74) ng/L. The plasma DKK-1 level of the RA patients was significantly higher than that of the healthy control group (P < 0.05), and the percentage of CD8+CD161+T cells in the peripheral blood of the RA patients was significantly higher than that of the healthy control group (P < 0.05). (2) The plasma DKK-1 level was positively correlated with erythrocyte sedimentation rate (r=0.406, P=0.021), DAS28 score (r=0.372, P=0.036), immunoglobulin G(r=0.362, P=0.042), immunoglobulin A(r=0.377, P=0.033); it had no correlation with age, course of disease, C-reactive protein, rheumatoid factor, anti-cyclic citrullinated peptide antibody, immunoglobulin M, complement C3, complement C4, white blood cell, neutrophil ratio. (3) The plasma DKK-1 level in the RA patients was positively correlated with the percentage of peripheral blood CD161+CD8+T cells (r=0.413, P=0.019);it had no correlation with Treg, nTreg, aTreg, sTreg, Teff, Tfh, CD4+CD161+T, CD8+T cells. (4) The percentage of CD161+CD8+T cells was negatively correlated with erythrocyte sedimentation rate (r=-0.415, P=0.004), C-reactive protein (r=-0.393, P=0.007), DAS28 score(r=-0.392, P=0.007), rheumatoid factor (r=-0.535, P < 0.001), anti-citrullinated protein antibody (r=-0.589, P < 0.001), immunoglobulin G(r=-0.368, P=0.012) immunoglobulin M (r=-0.311, P=0.035); it had no correlation with age, disease course, immunoglobulin A, complement C3, complement C4, white blood cell, and neutrophil ratio. CONCLUSION RA patients' plasma DKK-1 levels and the percentage of CD8+CD161+T cells in T cell subsets in peripheral blood increase, which may be related to the secretion of proinflammatory cytokines in patients; DKK-1 is involved in the regulation of bone homeostasis and can be used as a marker of bone destruction in RA.
Collapse
Affiliation(s)
- 迪 曹
- 郑州大学第五附属医院风湿免疫科,郑州 450000Department of Rheumatology and Immunology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - 燕 王
- 郑州大学第五附属医院风湿免疫科,郑州 450000Department of Rheumatology and Immunology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - 柳青 王
- 郑州大学第五附属医院风湿免疫科,郑州 450000Department of Rheumatology and Immunology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - 晓麟 孙
- 北京大学人民医院风湿免疫科,北京 100044Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China
| | - 妃 黄
- 遵义医科大学附属医院肾病风湿科,贵州遵义 563000Department of Rheumatology and Immunology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, Guizhou, China
| | - 洋 孟
- 郑州大学第五附属医院风湿免疫科,郑州 450000Department of Rheumatology and Immunology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - 丽丽 任
- 郑州大学第五附属医院风湿免疫科,郑州 450000Department of Rheumatology and Immunology, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - 学武 张
- 北京大学人民医院风湿免疫科,北京 100044Department of Rheumatology and Immunology, Peking University People's Hospital, Beijing 100044, China
| |
Collapse
|
4
|
Yoshii I, Chijiwa T, Sawada N. Rheumatoid arthritis in tight disease control is no longer risk of bone mineral density loss. Osteoporos Sarcopenia 2020; 6:75-81. [PMID: 32715098 PMCID: PMC7374532 DOI: 10.1016/j.afos.2020.04.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 04/11/2020] [Accepted: 04/27/2020] [Indexed: 01/30/2023] Open
Abstract
Objectives Rheumatoid arthritis (RA) is an independent risk factor of osteoporosis. However, if disease activity is successfully controlled using the treat-to-target (T2T) strategy, the risk of bone mineral density (BMD) loss can be diminished. We evaluated if RA is a risk factor even when the T2T is applied in clinical cases. Methods From September 2017 to August 2019, 741 patients were examined using dual-energy X-ray absorptiometry; of these, 279 were diagnosed with RA who attained clinical remission within 6 months (RA-rem) and 53 could not attain clinical remission (RA-nonrem), while 409 were not diagnosed with RA (non-RA). The following characteristics between RA-rem and non-RA were matched using the propensity score matching (PSM) technique: age, sex, past bone fragility fracture experience, osteoporosis drug intervention ratio, glucocorticoid administration ratio, mean dose, Barthel Index score, body mass index, serum-creatinine-to-cystatin C ratio, and the number of comorbidities. The BMDs and changes of the lumbar spine, femoral neck, total hip, and greater trochanter were statistically compared between the RA-rem and the non-RA after PSM, and between RA-nonrem and RA-rem after PSM using the Mann-Whitney U test. Results In total, 107 patients of RA-rem and 108 of non-RA were recruited. BMDs and changes of every part demonstrated no significant differences between the 2 groups. BMDs in every part of RA-rem after PSM were significantly greater than those in every part of RA-nonrem, while no significant difference in change during follow-up. Conclusions If disease activity is controlled in clinical remission, RA will not contribute to BMD reduction.
Collapse
Affiliation(s)
- Ichiro Yoshii
- Department of Rheumatology and Musculoskeletal Medicine, Yoshii Hospital, Shimanto City, Japan
- Corresponding author. Department of Rheumatology and Musculoskeletal Medicine, Yoshii Hospital, 6-7-5 Nakamura-Ohashidori, Shimanto City, 787-0033, Kochi Prefecture, Japan.
| | - Tatsumi Chijiwa
- Department of Rheumatology, Kochi Memorial Hospital, Kochi, Japan
| | - Naoya Sawada
- Department of Rheumatology, Dohgo Onsen Hospital, Matsuyama, Japan
| |
Collapse
|
6
|
Ma Y, Zhang X, Wang M, Xia Q, Yang J, Wu M, Han R, Chen M, Hu X, Yuan Y, Liu R, Jiang G, Pan G, Zou Y, Xu S, Pan F. The serum level of Dickkopf-1 in patients with rheumatoid arthritis: A systematic review and meta-analysis. Int Immunopharmacol 2018; 59:227-232. [PMID: 29665496 DOI: 10.1016/j.intimp.2018.04.019] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 04/10/2018] [Accepted: 04/10/2018] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Dickkopf-1 (DKK-1) is an endogenous inhibitor of canonical Wnt pathway that was implicated in the pathogenesis of rheumatoid arthritis (RA), but the serum levels of DKK-1 in RA were inconsistent among studies. Therefore, we conducted a meta-analysis to systematically evaluate the relationship between serum DKK-1 levels and RA. METHODS PubMed, Web of Science and Cochrane Library were comprehensively retrieved till 1 January 2018 for pertinent studies. The pooled standard mean differences (SMDs) of serum DKK-1 levels were calculated according to the random effects model. RESULTS Nine original studies containing 1305 RA patients and 504 healthy controls were included in the meta-analysis. The pooled SMD of serum DKK-1 between RA patients and healthy controls was 0.79 (95% CI = 0.11 to 1.48, Z = 2.28 and P = 0.023), indicating a significantly higher serum level of DKK-1 in RA patients. CONCLUSION Serum level of DKK-1 is elevated in patients with RA compared to healthy controls, suggesting an important role of DKK-1 in the pathogenesis and treatment of RA.
Collapse
Affiliation(s)
- Yubo Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Xu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Mengmeng Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Qing Xia
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Jiajia Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Meng Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Renfang Han
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Mengya Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Xingxing Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yaping Yuan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Rui Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Guangming Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Guixia Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Yanfeng Zou
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China
| | - Shengqian Xu
- Department of Rheumatism and Immunity, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230032, China
| | - Faming Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China; The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui 230032, China.
| |
Collapse
|