INTRODUCTION: Rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibody (ACPA) are used in the diagnosis and prognostication of rheumatoid arthritis (RA). We wanted to determine the specific contributions of RF and ACPA to the biological nature of RA and whether they act synergistically. METHODS: We identified 731 patients from our prospective multi-ethnic RA cohort and categorised them into four groups: ACPA-positive, RF-positive, doubly positive and doubly negative. We compared the demographics, Disease Activity Score-28, Health Assessment Questionnaire score, quality of life using Short Form 36 and the use of prednisolone and disease-modifying antirheumatic drugs (DMARDs) of these patient groups. RESULTS: Four hundred and ninety-one patients (67.2%) were ACPA+RF+, 54 (7.4%) were ACPA+RF-, 82 (11.2%) were ACPA-RF+ and 104 (14.2%) were ACPA-RF-. Mean disease duration before the study entry was not different in the four groups. Patients with older age of onset were less likely to be positive for RF and ACPA. Fewer ACPA+RF+ patients were in remission compared to those in the other groups ( P < 0.05). Erythrocyte sedimentation rate (ESR) was higher at study entry in the ACPA+RF+ group (40.4 mm/h vs. 30.6-30.9 mm/h, P < 0.05). Prednisolone and number of DMARDs used were higher in the ACPA+RF+ group compared to the doubly negative group. There were no differences in the functional status and quality of life. CONCLUSIONS RA patients who were positive for both ACPA and RF had lower remission rate, higher baseline ESR and required more corticosteroid and DMARD treatment compared to those who were singly positive or doubly negative. Being doubly positive confers a worse outcome to RA patients.
Humans ; Arthritis, Rheumatoid/diagnosis* ; Male ; Female ; Middle Aged ; Rheumatoid Factor/blood* ; Anti-Citrullinated Protein Antibodies/blood* ; Adult ; Quality of Life ; Prospective Studies ; Antirheumatic Agents/therapeutic use* ; Aged ; Peptides, Cyclic/immunology* ; Prednisolone/therapeutic use* ; Surveys and Questionnaires ; Severity of Illness Index ; Prognosis

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential

Objective To explore the expression of coagulation indexes in rheumatoid arthritis (RA) and dry syndrome (pSS) and their relationships with inflammation and immune function. Methods A total of 61 patients with RA who were hospitalized in the Department of Rheumatology of Anhui Provincial Hospital of Traditional Chinese Medicine from March 12 to September 9, 2024 were selected as the RA group. And 61 patients with pSS who were hospitalized in the Department of Rheumatology of the same hospital September 4, 2023, to August 17, 2024, were selected as the pSS group. 61 healthy individuals who underwent routine medical checkups at the Physical Examination Center of Anhui Provincial Hospital of Traditional Chinese Medicine during the same period were included as the control group. Baseline clinical indexes before treatment were collected from patients in each group, including prothrombin time(PT), international normalized ratio(INR), thrombia time(TT), fibrinogen(FBG), activated partial thromboplastin time(APTT), fibrin (ogen) degradation products(FDP) and D-Dimer(D-D). Results The expression levels of PT, FBG, TT, FDP, and D-D in the RA group, the pSS group, and the normal group were significantly different. The expression levels of PT, FBG, FDP, and D-D in the RA group were all higher than those in the pSS group and the control group, respectively. And the expression level of TT in the pSS group was lower than that in control group. ROC curve analysis showed that the AUC of PT was 0.638, the AUC of FBG was 0.899, the AUC of FDP was 0.866, and the AUC of D-D was 0.919 in the RA group compared with the normal group. And the AUC of coagulation indexes for joint diagnosis of RA was higher than that of the indexes detected individually. pSS group had an AUC of PT of 0.618 compared with that of the normal group. The AUC of TT was 0.645, and the AUC of coagulation indexes for the joint diagnosis of pSS was higher than the AUC of each index detected separately. Association rule analysis showed that elevated D-D in RA patients had a significant correlation with elevated hs-CRP, CCP and RF, and elevated FBG had a significant correlation with elevated hs-CRP, ESR, RF and CCP. Elevated D-D in pSS patients had a correlation with elevated hs-CRP and anti-SSA, and elevated INR has correlation with elevated hs-CRP, anti-SSA and anti-SSB. Correlation analysis showed that PT, INR, FBG, FDP, and D-D were positively correlated with CRP and ESR, and TT was negatively correlated with CRP and ESR in the RA group. FBG, FDP, and D-D were positively correlated with CRP and ESR in the pSS group. Moreover, coagulation indexes were positively correlated with immune indexes in RA group and pSS group which were all significant. The results of multiple linear regression analysis showed that FBG was a positive correlate of hs-CRP and ESR in RA patients. For PSS patients, FBG and FDP were positive correlates of hs-CRP. APTT and FBG were positive correlates of ESR. Conclusion Compared with pSS, coagulation indexes (especially PT, FBG, FDP and D-D) are more informative for the early diagnosis of RA and the judgment of the degree of the disease, and can be used as an important predictor for the confirmation of the diagnosis of RA.
Humans ; Female ; Male ; Arthritis, Rheumatoid/diagnosis* ; Middle Aged ; Fibrin Fibrinogen Degradation Products/analysis* ; Blood Coagulation ; Adult ; Fibrinogen/metabolism* ; Partial Thromboplastin Time ; Prothrombin Time ; Aged ; Inflammation/immunology* ; ROC Curve

Objective To investigate the expression levels of class Ⅰ histone deacetylases(HDAC)in the serum of patients with newly diagnosed psoriatic arthritis(PsA)and screen out serological indicators that are of significance for early diagnosis and assessment of disease activity.Methods A total of 49 PsA patients newly diagnosed in Shanxi Provincial People's Hospital from August 2022 to February 2024 and 30 healthy individuals(control group)were enrolled in this study.Demographic data were collected,and disease severity was assessed.Serum samples were collected,and the expression levels of class Ⅰ HDAC(HDAC1,HDAC2,HDAC3,and HDAC8)in the serum of each group were determined by ELISA.The correlations between the expression levels of class Ⅰ HDAC and clinical assessment indicators in each group were evaluated.Multivariate Logistic regression was adopted to analyze the risk factors affecting the disease activity of PsA patients.The receiver operating characteristic curve was used to evaluate the diagnostic efficacy of the risk factors affecting the disease activity of PsA patients.Results Compared with the control group,PsA patients showed up-regulated expression levels of HDAC1(P=0.003),HDAC2(P=0.010),HDAC3(P=0.003),and HDAC8(P=0.018)in the serum.The serum HDAC1 level of PsA patients was positively correlated with erythrocyte sedimentation rate(r=0.344,P=0.028).The serum HDAC2 level was positively correlated with the overall assessment of disease activity(r=0.468,P=0.001),the disease activity index of arthritis(r=0.401,P=0.007),the number of swollen joints(r=0.308,P=0.042),hospital anxiety and depression scale(HADS)score of anxiety(r=0.360,P=0.018),and HADS score of depression(r=0.302,P=0.047).The serum HDAC3 level was correlated with erythrocyte sedimentation rate(r=0.542,P<0.001),C-reactive protein(CRP)level(r=0.440,P<0.001),HADS score of anxiety(r=0.420,P=0.005),interleukin-6 level(r=0.397,P=0.004),the overall assessment of disease activity(r=0.318,P=0.036),and the course of psoriatic arthritis(r=0.330,P=0.028).The serum HDAC8 level was positively correlated with HADS score of anxiety(r=0.477,P=0.008)and erythrocyte sedimentation rate(r=0.385,P=0.039).Compared with the patients with low disease activity,those with moderate to high disease activity presented up-regulated expression of HDAC3(P=0.041).HDAC2(P=0.028)and CRP(P=0.034)were risk factors for moderate to high disease activity in PsA patients.HDAC2(area under the curve=0.802,P=0.003)and CRP(area under the curve=0.718,P=0.033)had diagnostic value for the progression of PsA.Conclusions The expression levels of class Ⅰ HDAC in the serum of patients with newly diagnosed PsA were significantly different.The serum levels of HDAC2 and CRP are expected to become serological indicators for the early diagnosis and disease activity assessment of PsA.
Humans ; Histone Deacetylases/blood* ; Arthritis, Psoriatic/diagnosis* ; Male ; Female ; Histone Deacetylase 1/blood* ; Histone Deacetylase 2/blood* ; Adult ; Middle Aged ; Clinical Relevance ; Repressor Proteins

OBJECTIVE: To investigate the clinical characteristics of overlapping syndromes of low muscle mass in Chinese patients with rheumatoid arthritis (RA) and their impact on physical function. METHODS: Consecutive patients with RA were recruited from September 2019 to April 2024 at Department of Rheumatology and Immunology, Sun Yat-Sen Memorial Hospital. Clinical data including disease acti-vity, physical function and radiographic assessment were collected. All patients also finished measurement of body composition, grip strength, and gait speed, and overlapping syndromes of low muscle mass as well as malnutrition, sarcopenia, sarcopenic obesity, and cachexia were evaluated. The Stanford health assessment questionnaire- disability index (HAQ-DI) was used to evaluate physical function. Logistic regression was used to analyze the related factors of physical dysfunction. RESULTS: A total of 1 016 RA patients were recruited. Their mean age was (52.4±12.5) years, and 82.5% were female. There were 557 cases (54.8%) with overlapping syndromes of low muscle mass and all of them were malnutrition. On this basis, 326 cases (32.1%) exhibited sarcopenia, 124 (12.2%) sarcopenic obesity, and 33 (3.2%) cachexia. There were 584 (57.4%) of RA patients having physical dysfunction, with varying degrees of severity 421 (41.4%) mild, 124 (12.2%) moderate, and 39 (3.8%) severe. Compared with patients without overlapping syndromes of low muscle mass (n=459) or with malnutrition only (n=231), RA patients with both malnutrition and sarcopenia (n=326) had significantly higher core disease activity indicators and higher rate of physical dysfunction (69.6% vs. 42.0% vs. 56.6%). However, compared with patients without overlapping syndromes of low muscle mass, patients with malnutrition only had lower HAQ-DI score (median 0.0 vs. 0.1) and lower rate of physical dysfunction (42.0% vs. 56.6%). Multivariate Logistic regression analysis showed that simultaneously overlapping malnutrition and sarcopenia were associated factors of physical dysfunction (OR=2.021, 95%CI: 1.067-3.828), but malnutrition only was not. CONCLUSION Simultaneously overlapping malnutrition and sarcopenia can deteriorate disease activity and physical dysfunction in RA patients. The screening and evaluation of overlapping syndromes of low muscle mass, especially sarcopenia should be emphasized in patients with RA.
Humans ; Arthritis, Rheumatoid/physiopathology* ; Female ; Male ; Sarcopenia/complications* ; Middle Aged ; Cachexia/diagnosis* ; Malnutrition/etiology* ; Obesity/physiopathology* ; Body Composition ; Syndrome ; Hand Strength ; Adult ; Muscle, Skeletal/physiopathology* ; Surveys and Questionnaires

OBJECTIVE: To analyze and compare the clinical and laboratory characteristics of macrophage activation syndrome (MAS) in patients with systemic lupus erythematosus (SLE) and adult-onset Still's disease (AOSD), and to evaluate the applicability of the 2016 European League Against Rheumatism/American College of Rheumatology/Paediatric Rheumatology International Trials Organization classification criteria for MAS complicating systemic juvenile idiopathic arthritis (sJIA) in different auto-immune diseases contexts and to propose new diagnostic predictive indicators. METHODS: A retrospective analysis was conducted on the clinical and laboratory data of 24 SLE patients with MAS (SLE-MAS) and 24 AOSD patients with MAS (AOSD-MAS) who were hospitalized at Peking University People's Hospital between 2000 and 2018. Age- and sex-matched SLE (50 patients) and AOSD (50 patients) diagnosed in the same period without MAS episodes were selected as controls. The cutoff values for laboratory indicators predicting SLE-MAS and AOSD-MAS were determined using receiver operating characteristic (ROC) curves. Furthermore, the laboratory diagnostic predictive values for AOSD-MAS were used to improve the classification criteria for systemic juvenile idiopathic arthritis-associated MAS (sJIA-MAS), and the applicability of the revised criteria for AOSD-MAS was explored. RESULTS: Approximately 60% of SLE-MAS and 40% of AOSD-MAS occurred within three months after the diagnosis of the underlying diseases. The most frequent clinical feature was fever. In addition to the indicators mentioned in the diagnosis criteria for hemophagocytic syndrome revised by the International Society for Stem Cell Research, the MAS patients also exhibited significantly elevated levels of aspartate aminotransferase and lactate dehydrogenase, along with a significant decrease in albumin. Hemophagocytosis was observed in only about half of the MAS patients. ROC curve analysis demonstrated that the optimal discriminative values for diagnosing MAS was achieved when SLE patients had ferritin level≥1 010 μg/L and lactate dehydroge-nase levels≥359 U/L, while AOSD patients had fibrinogen levels≤225.5 mg/dL and triglyceride levels≥2.0 mmol/L. Applying the 2016 sJIA-MAS classification criteria to AOSD-MAS yielded a diagnostic sensitivity of 100% and specificity of 62%. By replacing the less specific markers ferritin and fibrinogen in the 2016 sJIA-MAS classification criteria with new cutoff values, the revised criteria for classifying AOSD-MAS had a notable increased specificity of 86%. CONCLUSION Secondary MAS commonly occurs in the early stages following the diagnosis of SLE and AOSD. There are notable variations in laboratory indicators among different underlying diseases, which may lead to misdiagnosis or missed diagnosis when using uniform classification criteria for MAS. The 2016 sJIA-MAS classification criteria exhibit high sensitivity but low specificity in diagnosing AOSD-MAS. Modification of the criteria can enhance its specificity.
Adult ; Humans ; Child ; Macrophage Activation Syndrome/complications* ; Arthritis, Juvenile/diagnosis* ; Still's Disease, Adult-Onset/diagnosis* ; Retrospective Studies ; Lupus Erythematosus, Systemic/diagnosis* ; Fibrinogen ; Ferritins

OBJECTIVE: To evaluate the sensitivity and specificity of Pollard' s classification criteria(2010) for the diagnosis of rheumatoid arthritis (RA) patients withfibromyalgia (FM) in Chinese patients, and to assess the clinical features and psychological status of RA-FM patients in a real-world observational setting. METHODS: Two hundred and two patients with rheumatoid arthritis were enrolled from the outpatients in Rheumatology and Immunology Department in Peking University People' s Hospital. All the patients were evaluated whether incorporating fibromyalgia translation occured using the 1990 American College of Rheumatolgy (ACR)-FM classification criteria. Forty two RA patients were concomitant with FM, while the other one hundred and sixty RA patients without FM were set as the control group. RESULTS: There was no significant difference in general demography between the two groups (P>0.05). In this study, the Pollard' s classification criteria (2010) for RA-FM in Chinese patients had a high sensitivity of 95.2% and relatively low specificity of 52.6%. Compared with those patients without FM, RA patients with FM (RA-FM patients) had higher Disease Activity Scale in 28 joints (DAS-28) score (5.95 vs. 4.38, P=0.011) and much more 28-tender joint counts (TJC) (16.5 vs.4.5, P < 0.001).RA-FM patients had worse Health Assessment Questionnaire (HAQ) score (1.24 vs. 0.66, P < 0.001) and lower SF-36 (28.63 vs. 58.22, P < 0.001). Fatigue was more common in RA-FM patients (88. 1% vs. 50.6%, P < 0.001) and the degree of fatigue was significantly increased in RA-FM patients (fatigue VAS 5.55 vs. 3.55, P < 0.001). RA-FM patients also had higher anxiety (10 vs.4, P < 0.001) and depression scores (12 vs.6, P < 0.001). erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), morning stiffness time and 28-swollen joint counts (SJC) showed no difference between these two groups. CONCLUSION The Pollard' s classification criteria (2010) for RA-FM are feasible in Chinese rheumatoid arthritis patients. The Pollard' s classification criteria is highly sensitive in clinical application, while the relativelylow specificity indicates that various factors need to be considered in combination. RA patients with FM result in higher disease activity, worse function aland psychological status. RA patients with FM also have poorer quality of life. DAS-28 scores may be overestimated in RA patients with FM. In a RA patient thatdoes not reach remission, the possibility of fibromyalgia should be con-sidered.
Arthritis, Rheumatoid/diagnosis* ; Fatigue/etiology* ; Fibromyalgia/diagnosis* ; Humans ; Quality of Life ; Severity of Illness Index

BACKGROUND: The screening of periprosthetic joint infection (PJI) in patients with inflammatory diseases before revision arthroplasty remains uncertain. Serum C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), plasma fibrinogen (FIB), monocyte/lymphocyte ratio, and neutrophil/lymphocyte ratio (NLR) can help screening PJI, but their values in patients with inflammatory diseases have not been determined. METHODS: Patients with inflammatory diseases who underwent revision hip or knee arthroplasty at West China Hospital, Sichuan University, from January 2008 to September 2020 were divided into infected and non-infected groups based on the 2013 International Consensus Meeting criteria. Sensitivity and specificity of the tested biomarkers for diagnosing infection were determined based on receiver operating characteristic (ROC) curves, and optimal cutoffs were determined based on the Youden index. The diagnostic ability of these biomarkers was re-assessed after combining them with each other. RESULTS: A total of 62 patients with inflammatory diseases were studied; of them 30 were infected. The area under the ROC curve was 0.813 for CRP, 0.638 for ESR, 0.795 for FIB, and 0.656 for NLR. The optimal predictive cutoff of CRP was 14.04 mg/L with a sensitivity of 86.2% and a specificity of 68.7%, while FIB had a sensitivity of 72.4% and a specificity of 81.2% with the optimal predictive cutoff of 4.04 g/L. The combinations of CRP with FIB produced a sensitivity of 86.2% and specificity of 78.1%. CONCLUSION: CRP with a slightly higher predictive cutoff and FIB are useful for screening PJI in patients with inflammatory diseases, and the combination of CRP and FIB may further improve the diagnostic values. TRIAL REGISTRATION ChiCTR.org.cn, ChiCTR2000039989.
Humans ; C-Reactive Protein/analysis* ; Prosthesis-Related Infections/diagnosis* ; Fibrinogen ; Arthroplasty, Replacement, Hip ; Arthritis, Infectious/surgery* ; Blood Sedimentation ; Sensitivity and Specificity ; Biomarkers ; Retrospective Studies

BACKGROUND: The onset and clinical presentation of systemic lupus erythematosus (SLE) are sex-related. Few studies have investigated the distinctions in clinical characteristics and treatment preferences in male and female SLE patients in the initial cohort. This study aimed to improve the understanding of Chinese SLE patients by characterizing the different sexes of SLE patients in the inception cohort. METHODS: Based on the initial patient cohort established by the Chinese SLE Treatment and Research Group, a total of 8713 patients (795 men and 7918 women) with newly diagnosed SLE were enrolled between April 2009 and March 2021. Of these, 2900 patients (347 men and 2553 women) were eligible for lupus nephritis (LN). A cross-sectional analysis of the baseline demographic characteristics, clinical manifestations, laboratory parameters, organ damage, initial treatment regimens, and renal pathology classification was performed according to sex. RESULTS: In the SLE group, as compared to female patients, male patients had a later age of onset (male vs. female: 37.0 ± 15.8 years vs. 35.1 ± 13.7 years, P  = 0.006) and a higher SLE International Collaborative Clinic/American College of Rheumatology damage index score (male vs. female: 0.47 ± 1.13 vs. 0.34 ± 0.81, P  = 0.015), LN (male vs. female: 43.6% vs. 32.2%, P < 0.001), fever (male vs. female: 18.0% vs. 14.6%, P  = 0.010), thrombocytopenia (male vs. female: 21.4% vs. 18.5%, P  = 0.050), serositis (male vs. female: 14.7% vs. 11.7%, P  = 0.013), renal damage (male vs. female: 11.1% vs. 7.4%, P < 0.001), and treatment with cyclophosphamide (CYC) (P < 0.001). The frequency of leukopenia (male vs. female: 20.5% vs. 25.4%, P  = 0.002) and arthritis (male vs. female: 22.0% vs. 29.9%, P < 0.001) was less in male patients with SLE. In LN, no differences were observed in disease duration, SLE Disease Activity Index score, renal biopsy pathological typing, or 24-h urine protein quantification among the sexes. In comparisons with female patients with LN, male patients had later onset ages (P  = 0.026), high serum creatinine (P < 0.001), higher end-stage renal failure rates (P  = 0.002), musculoskeletal damage (P  = 0.023), cardiovascular impairment (P  = 0.009), and CYC use (P  = 0.001); while leukopenia (P  = 0.017), arthritis (P  = 0.014), and mycophenolate usage (P  = 0.013) rates were lower. CONCLUSIONS Male SLE patients had more severe organ damage and a higher LN incidence compared with female SLE patients; therefore, they may require more aggressive initial treatment compared to female patients.
Humans ; Female ; Male ; Cross-Sectional Studies ; Sex Characteristics ; East Asian People ; Severity of Illness Index ; Lupus Erythematosus, Systemic/diagnosis* ; Lupus Nephritis/pathology* ; Registries ; Cyclophosphamide/therapeutic use* ; Thrombocytopenia ; Leukopenia/drug therapy* ; Arthritis

OBJECTIVE: To study the cytokine patterns in patients with rheumatoid arthritis (RA) and healthy individuals and identify candidate serum biomarkers for clinical diagnosis of RA. METHODS: This study was conducted among 59 patients diagnosed with RA in our hospital from 2015 to 2019 with 46 age- and gender-matched healthy subjects who received regular physical examinations in our hospital as the control group. Serological autoimmune profiles of 5 RA patients and 5 healthy control subjects were obtained from human cytokine microarrays. We selected 4 differentially expressed cytokines (LIMPII, ROBO3, Periostin and IGFBP-4) and 2 soluble cytokine receptors of interest (2B4 and Tie-2) and examined their serum levels using enzyme-linked immunosorbent assay in 54 RA patients and 41 healthy control subjects. Spearman correlation test was performed to assess the correlation of serum cytokine and soluble receptor expression levels with the clinical features including rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), disease activity score (DAS28) and health assessment questionnaire (HAQ). Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic capability of these cytokines. RESULTS: We identified 6 dysregulated cytokines and soluble receptors (2B4, LIMPII, Tie-2, ROBO3, periostin and IGFBP-4) in RA patients (P < 0.01). The serum levels of LIMPII, ROBO3 and periostin were significantly correlated with the disease activity indicators including RF (P < 0.001), CRP (P < 0.001), DAS28 (P < 0.001) and HAQ (P < 0.001) in RA patients. Among the 6 candidate cytokines, 2B4 showed the largest area under the curve (AUC) of 0.861 for RA diagnosis (P < 0.001), followed then by LIMPII, ROBO3, periostin, Tie-2 and IGFBP-4. CONCLUSION Serum levels of LIMPII, ROBO3 and periostin can be indicative of the disease activity of RA, and serum 2B4, LIMPII, periostin, ROBO3, IGFBP-4 and Tie-2 levels may serve as biomarkers for the diagnosis of RA.
Arthritis, Rheumatoid/diagnosis* ; Biomarkers ; C-Reactive Protein ; Cytokines ; Humans ; Insulin-Like Growth Factor Binding Protein 4 ; Protein Array Analysis ; Receptors, Cell Surface