| Literature DB >> 31113467 |
Yong Fan1, Xinlei Yang1, Juan Zhao1, Xiaoying Sun1, Wenhui Xie1, Yanrong Huang1, Guangtao Li1, Yanjie Hao1, Zhuoli Zhang2.
Abstract
BACKGROUND: Numerous preclinical studies have revealed a critical role of cysteine-rich 61 (Cyr61) in the pathogenesis of rheumatoid arthritis (RA). But there is little literature discussing the clinical value of circulation Cyr61 in RA patients. The aim of our study is to investigate the serum Cyr61 level and its association with disease activity in RA patients.Entities:
Keywords: Biomarker; Cysteine-rich protein 61; Disease activity; Rheumatoid arthritis; Treatment response
Mesh:
Substances:
Year: 2019 PMID: 31113467 PMCID: PMC6528265 DOI: 10.1186/s13075-019-1906-y
Source DB: PubMed Journal: Arthritis Res Ther ISSN: 1478-6354 Impact factor: 5.156
Baseline clinical characteristics and Cyr61 concentration of RA patients in the training cohort
| Variables | Inactive RA | Active RA | |
|---|---|---|---|
| Age (years) | 51.97 ± 13.27 | 54.27 ± 15.96 | 0.158 |
| BMI (kg/m2) | 20.68 ± 5.19 | 22.19 ± 6.74 | 0.486 |
| Gender (female, %) | 81 (77.88%) | 62 (84.93%) | 0.332 |
| Cyr61 concentration (pg/ml) | 226.85 (152.50–339.96) | 189.92 (129.58–254.47) | 0.004 |
| Disease duration (months) | 60 (32–135) | 64 (27–132) | 0.68 |
| RF-positive ( | 81 (77.88%) | 57 (78.08%) | 1.000 |
| ACPA-positive ( | 88 (84.62%) | 60 (82.19%) | 0.832 |
| Disease activity | |||
| ESR (mm/h) | 10 (5–18) | 27 (17–47) | < 0.001 |
| CRP (mg/l) | 3.26 (1.90–5.55) | 8.89 (4.18–18.70) | < 0.001 |
| TJC (0–28) | 0 (0–1) | 6 (3–10) | < 0.001 |
| SJT (0–28) | 0 (0–0) | 2 (1–4) | < 0.001 |
| PGA (0–100) | 10 (0–15) | 50 (30–60) | < 0.001 |
| EGA (0–100) | 5 (0–10) | 50 (30–60) | < 0.001 |
| DAS28-ESR | 1.92 (1.41–2.48) | 4.64 (3.81–5.62) | < 0.001 |
| DAS28-CRP | 1.76 (1.50–2.26) | 4.19 (3.20–5.21) | < 0.001 |
| SDAI | 2.15 (0.63–5.04) | 18.30 (11.73–29.65) | < 0.001 |
| CDAI | 1.50 (0.10–4.38) | 17.00 (11.00–27.00) | < 0.001 |
| Medication in use ( | |||
| Methotrexate | 82 (78.85%) | 59 (80.82%) | 0.850 |
| Glucocorticoids | 15 (14.42%) | 17 (23.28%) | 0.165 |
| Leflunomide | 7 (6.73%) | 9 (12.33%) | 0.287 |
| Hydroxychloroquine | 41 (39.42%) | 25 (34.25%) | 0.529 |
| Sulfasalazine | 6 (5.77%) | 6 (8.22%) | 0.553 |
| TNF inhibitors | 2 (1.92%) | 4 (5.48%) | 0.232 |
RA rheumatoid arthritis, BMI body mass index, Cyr61 cysteine-rich 61, RF rheumatoid factor, ACPA anticitrullinated peptide antibodies, ESR erythrocyte sedimentation rate, CRP C-reactive protein, TJC tender joint count, SJC swollen joint count, PGA patient global assessment, EGA evaluator global assessment, DAS28 disease activity score in 28 joints, SDAI simplified disease activity index, CDAI clinical disease activity index, TNF tumor necrosis factor
Values are presented as mean ± standard deviation or median (interquartile ranges), as applicable
P value means active RA vs. inactive RA
Fig. 1Serum Cyr61 concentrations and diagnostic performance of Cyr61 in participants in the training cohort. a Levels of serum Cyr61 in healthy controls and RA patients (classified into inactive RA group and active RA group as evaluated by DAS28-ESR ≥ 3.2). b Receiver operating characteristic (ROC) curve to determine the best threshold for Cyr61 to discriminate RA and healthy controls. The red horizontal solid line represents a median value
Fig. 2Scatterplots showing correlations between Cyr61 levels with disease activity measures in RA patients in the training cohort. a Left to right: tender joint count (TJC), swollen joint count (SJC), patient global assessment (PGA), evaluator global assessment (EGA). b Left to right: DAS28-ESR, DAS28-CRP, simplified disease activity index (SDAI), clinical disease activity index (CDAI). R value represents Spearman’s correlation coefficient
Baseline clinical characteristics and treatment response of RA in the validation cohort
| Variables | RA patients ( |
|---|---|
| Age (years) | 55.56 ± 12.53 |
| Gender (female, %) | 60 (77.92%) |
| BMI (kg/m2) | 21.47 ± 5.87 |
| Disease duration (months) | 93 (42–184) |
| RF-positive ( | 57 (74.03%) |
| ACPA-positive ( | 62 (80.52%) |
| ACR20 responders ( | 55 (71.43%) |
| ACR50 responders ( | 38 (49.35%) |
| ACR70 responders ( | 20 (25.97%) |
| ACR non-responders ( | 22 (28.57%) |
BMI body mass index, RF rheumatoid factor, ACPA anticitrullinated peptide antibodies, ACR 20/50/70 American College of Rheumatology 20%/50%/70% improvement criteria
Fig. 3Serum Cyr61 levels in RA patients in the validation cohort before and after treatment. a Left to right: scatter plots showing the levels of Cyr61 in ACR20 responders, ACR50 responders, ACR70 responders, and ACR non-responders before and after treatment. b Left to right: before-after plots showing the levels of Cyr61 in ACR20 responders, ACR50 responders, ACR70 responders, and ACR non-responders before and after treatment (in correspondence with a). The red horizontal solid line represents a median value
Independent associated factors to predict ACR20 response after 12 weeks using multivariate logistic regression analysis
| Variables | Odds ratio | 95% confidence interval | |
|---|---|---|---|
| Analysis set 1 | |||
| Age at baseline (per year increase) | 0.939 | 0.887–0.997 | 0.029 |
| Increased Cyr61 (per unit increase) | 1.008 | 1.002–1.014 | 0.005 |
| Analysis set 2 | |||
| Age at baseline (per year increase) | 0.951 | 0.905–0.999 | 0.046 |
| Increased Cyr61 (high increase vs. low increase) | 2.988 | 1.020–8.754 | 0.029 |