IL-1β, IL-17A, CRP and biologics history might serve as potential markers for clinical response to etanercept in rheumatoid arthritis patients

The implication of long non-coding RNA expression profile in rheumatoid arthritis: Correlation with treatment response to tumor necrosis factor inhibitor

OBJECTIVE

This study aimed to investigate the linkage of long non-coding RNA (lncRNA) expression profile with etanercept response in rheumatoid arthritis (RA) patients.

METHODS

Peripheral blood mononuclear cell (PBMC) samples were collected from 80 RA patients prior to etanercept treatment. Samples from eight responders and eight non-responders at week 24 (W24) were proposed to RNA-sequencing, then 10 candidate lncRNAs were sorted and their PBMC expressions were validated by reverse transcription quantitative chain reaction (RT-qPCR) in 80 RA patients. Subsequently, clinical response by lncRNA (CRLnc) prediction model was established.

RESULTS

RNA-sequencing identified 254 up-regulated and 265 down-regulated lncRNAs in W24 responders compared with non-responders, which were enriched in immune or joint related pathways such as B-cell receptor signaling, osteoclast differentiation and T-cell receptor signaling pathways, etc. By reverse transcription quantitative chain reaction (RT-qPCR) validation: Two lncRNAs were correlated with W4 response, three lncRNAs were correlated with W12 response, seven lncRNAs were correlated with W24 response. Subsequently, to construct and validate CRLnc prediction model, 80 RA patients were randomly divided into test set (n = 40) and validation set (n = 40). In the test set, lncRNA RP3-466P17.2 (OR = 9.743, P = .028), RP11-20D14.6 (OR = 10.935, P = .007), RP11-844P9.2 (OR = 0.075, P = .022), and TAS2R64P (OR = 0.044, P = .016) independently related to W24 etanercept response; then CRLnc prediction model integrating these four lncRNAs presented a good value in predicting W24 etanercept response (Area Under Curve (AUC): 0.956, 95%CI: 0.896-1.000). However, in the validation set, the CRLnc prediction model only exhibited a certain value in predicting W24 etanercept response (AUC: 0.753, 95%CI: 0.536-0.969).

CONCLUSIONS

CRLnc prediction model is potentially a useful tool to instruct etanercept treatment in RA patients.

Measurement of pre-treatment inflammatory cytokine levels is valuable for prediction of treatment efficacy to tumor necrosis factor inhibitor in axial spondyloarthritis patients

Aim

To evaluate the correlation of inflammatory cytokines with the treatment response to tumor necrosis factor inhibitor (TNFi) in axial spondyloarthritis (axSpA) patients.

Methods

This study enrolled 86 axSpA patients and 20 healthy controls (HCs). Inflammatory cytokines including tumor necrosis factor‐α (TNF‐α), interleukin (IL)‐1β, IL‐6, IL‐12, IL‐17A, IL‐21, IL‐23, and IL‐32 were determined in serum samples of axSpA patients before treatment and in HCs after enrollment. All patients received 40 mg adalimumab every 2 weeks for 12 weeks; meanwhile, ASAS40 (40 criteria of the Assessment by the SpondyloArthritis International Society) response rates were evaluated at weeks 2, 4, 8, and 12.

Results

Most inflammatory cytokines were elevated in axSpA patients compared with HCs (all P < 0.05) except for IL‐32 (P = 0.101). In axSpA patients, ASAS40 response rates were 0%, 19.5%, 34.5%, 47.1%, and 56.3% at weeks 0, 2, 4, 8, and 12, respectively. Baseline [interquartile range] IL‐6 (47.3 [32.5‐53.4] pg/mL vs 31.7 [23.0‐50.9] pg/mL, P = 0.005) and IL‐17A (127.9 [90.7‐149.5] pg/mL vs 96.6 [56.1‐112.6] pg/mL, P < 0.001) were higher in axSpA patients with ASAS40 response compared with those without ASAS40 response, while baseline TNF‐α, IL‐1β, IL‐12, IL‐21, IL‐23, and IL‐32 were not different between them (all P > 0.050). Multivariate logistic regression analysis disclosed that baseline IL‐17A (P = 0.037), C‐reactive protein (P = 0.012), and history of TNF inhibitor (P = 0.029) were independently associated with ASAS40 response. Furthermore, baseline IL‐17A, C‐reactive protein, history of TNFi, and their combination had an acceptable to good ability for predicting ASAS40 response.

Conclusion

Measurement of pre‐treatment inflammatory cytokine levels is valuable for predicting treatment efficacy of TNFi in axSpA patients.

Toward Overcoming Treatment Failure in Rheumatoid Arthritis

Rheumatoid arthritis (RA) is an autoimmune disorder characterized by inflammation and bone erosion. The exact mechanism of RA is still unknown, but various immune cytokines, signaling pathways and effector cells are involved. Disease-modifying antirheumatic drugs (DMARDs) are commonly used in RA treatment and classified into different categories. Nevertheless, RA treatment is based on a "trial-and-error" approach, and a substantial proportion of patients show failed therapy for each DMARD. Over the past decades, great efforts have been made to overcome treatment failure, including identification of biomarkers, exploration of the reasons for loss of efficacy, development of sequential or combinational DMARDs strategies and approval of new DMARDs. Here, we summarize these efforts, which would provide valuable insights for accurate RA clinical medication. While gratifying, researchers realize that these efforts are still far from enough to recommend specific DMARDs for individual patients. Precision medicine is an emerging medical model that proposes a highly individualized and tailored approach for disease management. In this review, we also discuss the potential of precision medicine for overcoming RA treatment failure, with the introduction of various cutting-edge technologies and big data.

Serum TNFα levels at 24 h after certolizumab pegol predict effectiveness at week 12 in patients with rheumatoid arthritis from TSUBAME study

Objective

To estimate the relationship between serum TNFα, IL-6, and serum CZP levels and the clinical response to CZP in RA patients in the TSUBAME study.

Methods

One hundred patients with RA who received CZP were enrolled and multiple clinical parameters, serum TNFα, IL-6, and CZP levels, were assessed at 0, 24, and 48 h and 12 weeks after first administration of CZP.

Results

The CZP therapy significantly improved the DAS28(ESR) at 12 weeks. Serum TNFα and IL-6 levels significantly decreased from baseline at 24 h after the first administration of CZP. Serum TNFα levels at baseline were not related to clinical parameters at baseline and improvement in DAS28(ESR) at week 12 of the CZP therapy. However, serum levels of CZP at 24 h were strongly and negatively correlated with TNFα levels at 24 h, which were negatively correlated with improved rate in DAS28(ESR) at week 12. Only serum levels of TNFα, but not IL-6, at 24 h had a negative correlation with achievement of DAS28(ESR)<2.6 at week 12 by the multivariate analysis (odds ratio 0.01, 95% confidence interval 0.04e−2–0.22, p < 0.01). A receiver operating characteristic analysis was conducted to estimate the achievement of DAS28(ESR)<2.6 at week 12 after the CZP therapy and cut-off value of 0.76 pg/ml for serum levels of TNFα at 24 h was yielded (area under the curve=0.75). DAS28(ESR)<2.6 was achieved at week 12 significantly more patients with lower serum TNF levels (≦0.76 pg/ml) at 24 h than those with higher TNF levels.

Conclusions

CZP was highly effective in RA patients who had low serum TNFα levels at 24 h after the initial administration of CZP. Therefore, we propose that serum TNFα levels at 24 h could serve as a biomarker predicting effectiveness to CZP at week 12 in patients with RA.

Trial registration

Clinical trial registration number: UMIN ID:000022831

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-021-02547-2.

Polysaccharides and glycosides from Aralia echinocaulis protect rats from arthritis by modulating the gut microbiota composition

ETHNOPHARMACOLOGICAL RELEVANCE

Aralia echinocaulis has been used in traditional medicines in China and exhibits good effects on rheumatoid arthritis (RA).

AIM OF THE STUDY

Aralia echinocaulis is rich in polysaccharides and glycosides. This study aims to explore the effect of total polysaccharide and glycoside (TPG) from A. echinocaulis on an RA rat model and the role of alterations in gut microbes mediated by TPG.

MATERIALS AND METHODS

In this study, a collagen-induced arthritis (CIA) rat model was constructed and used to evaluate the effects of TPG in vivo. 16S rRNA sequencing was used to detect the changes in the gut microbiota. A cooccurrence analysis was conducted by calculating Spearman's rank correlations. Microbial functions were predicted using PICRUSt with the KEGG and COG databases.

RESULTS

The results showed that TPG from A. echinocaulis could inhibit arthritis, reduce serum IL-1β and TNF-α levels, and improve synovial pathology in the RA rat model but failed to produce the same results in a pseudoaseptic RA rat model. 16S rRNA sequencing verified that TPG could modulate the gut microbiota community structure of RA rats. The cooccurrence analysis found 19 out of the 50 most abundant genera in a cooccurrence network, of which 16 showed a positive correlation and 3 showed a negative correlation. KEGG pathway and COG function analyses found that TPG-induced alterations in the gut microbiota might be correlated with the circulatory system, excretory system, metabolic diseases, signaling molecules and interactions, coenzyme transport and metabolism, and nucleotide transport and metabolism.

CONCLUSIONS

TPG from A. echinocaulis had significant effects on the RA rat model, which are related to the modulation of the gut microbiota. These results are useful to better understanding the mechanisms of TPG in RA.

MiR-223-3p inhibits inflammation and pyroptosis in monosodium urate-induced rats and fibroblast-like synoviocytes by targeting NLRP3

Down-regulated miR-223-3p was found in rheumatoid arthritis. This study aimed to further explore the level and role of miR-223-3p in gout arthritis (GA). After monosodium urate (MSU)-induced GA rat and fibroblast-like synoviocytes (FLSs) models were established, the rat paw volume and gait score were documented and the FLSs were transfected with miR-223-3p mimic/inhibitor or NLR family pyrin domain containing 3 (NLRP3) over-expression plasmids. The MiR-223-3p target was found through bioinformatics and the dual-luciferase reporter. The rat joint pathological damage was observed by hematoxylin and eosin staining. The levels of interleukin (IL)-1β, tumor necrosis factor (TNF)-α and articular elastase in rats were detected by enzyme-linked immunosorbent assay (ELISA). The viability and pyroptosis of FLSs were detected by methyl thiazolyl tetrazolium (MTT) and flow cytometry. The expressions of miR-223-3p, NLRP3, cleaved caspase-1, IL-1β, apoptosis-associated speck-like protein (AS) and cleaved N-terminal gasdermin D (GSDMD) in FLSs or rat synovial tissues were detected by reverse transcription-quantitative polymerase chain reaction (RT-qPCR), immunofluorescence, Western blot or immunohistochemistry analysis. MSU increased the paw volume, gait score, inflammation in synovial tissues and increased the levels of IL-1β, TNF-α and articular elastase in rats. MSU decreased the viability and increased the pyroptosis of FLSs, up-regulated the expression of NLRP3, ASC, cleaved caspase-1, cleaved N-terminal GSDM, and IL-1β, and down-regulated miR-223-3p expression in synovial tissues of rat joints and FLSs. MiR-223-3p mimic reversed the effect of MSU on lowering cell viability, increasing pyroptosis in FLSs, while miR-223-3p inhibitor further enhanced the effect of MSU on FLSs. NLRP3 was a target of miR-223-3p. Also, NLRP3 over-expression reversed the effects of miR-223-3p on MSU-induced FLSs. MiR-223-3p inhibited pyroptosis in MSU-induced rats and FLSs by targeting NLRP3.

JNK Pathway-Associated Phosphatase as a Serum Marker for Disease Activity and Treatment Outcome of Juvenile Idiopathic Arthritis

Juvenile idiopathic arthritis (JIA) is a heterogeneous autoimmune disease characterized by arthritis of unknown etiology. JNK pathway-associated phosphatase (JKAP) is reported to be a negative regulator of T-cell activation, but its clinical role in JIA is unknown. This study aimed to investigate the correlation of JKAP with disease activity and treatment response to a tumor necrosis factor (TNF) inhibitor, etanercept (ETN), in JIA patients. Totally, 104 JIA patients (6.9 ± 2.7 years old) and 100 age- and sex-matched healthy controls (HCs) (7.2 ± 2.4 years old) were enrolled, and their serum samples were collected for measuring JKAP by enzyme-linked immunoassay. In JIA patients, after 24-week ETN treatment, clinical response was assessed based on the American College of Rheumatology pediatric criteria (ACRpedi) 50 criteria. Results showed that JKAP levels were significantly lower in JIA patients compared with HCs, and of good value in differentiating JIA patients from HCs. Among JIA patients, higher JKAP levels were associated with lower disease activity indexes, including C-reactive protein, number of joints with active arthritis, physician's global assessment of disease activity, and the present history of disease-modifying antirheumatic drugs; higher baseline JKAP levels were correlated with worse ACRpedi 50 response to ETN at week 24, and was also an independent predictive factor for worse ACRpedi 50 response to ETN. Thus, it may be inappropriate to use ETN for JIA patients with higher JKAP levels. In conclusion, serum JKAP is a potential biomarker for JIA activity and treatment response to a TNF inhibitor.

Effect of Moxibustion on the Serum Levels of MMP-1, MMP-3, and VEGF in Patients with Rheumatoid Arthritis

Background

Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, which will eventually lead to joints deformity and functional damage. The aim of this research is to evaluate the effect of moxibustion on the serum indicators related to bone and cartilage metabolism, matrix metalloproteinase 1 (MMP-1), matrix metalloproteinase 3 (MMP-3), and vascular endothelial growth factor (VEGF) in patients with RA and to explore the mechanism of moxibustion in the treatment of RA.

Methods

We recruited 70 RA patients who met the inclusion criteria, and they were randomly divided into two groups, a treatment group and a control group in equal ratio. The control group took methotrexate, folate, or leflunomide orally, while the treatment group received methotrexate, folate, or leflunomide orally and moxibustion at ST36 (Zusanli), BL23 (Shen shu), and Ashi points. We compared the clinical symptoms, RA serological disease markers and serum contents of interleukin-1β (IL-1β), tumor necrosis factor-α (TNF-α), MMP-1, MMP-3, and VEGF of RA patients before and after treatment.

Results

(1) The clinical symptoms and RA serological disease markers of the two groups improved after treatment (P < 0.05), while the clinical symptoms of the treatment group were significantly improved in comparison with the control group (P < 0.05). (2) The levels of IL-1β, TNF-α, and VEGF decreased in both groups after treatment (P < 0.05), but the treatment group was significantly decreased compared with the control group (P < 0.05). (3) There were significant differences in MMP-1 and MMP-3 contents after treatment in the treatment group (P < 0.05, P < 0.05), while there were no significant differences in the control group (P > 0.05, P > 0.05). Above all, the contents of IL-1β, TNF-α, MMP-1, MMP-3, and VEGF in the treatment group decreased more significantly than those in the control group (P < 0.05).

Conclusion

The improvement effect of moxibustion on the clinical symptoms of RA patients may be related to influence on the contents of IL-1β, TNF-α, MMP-1, MMP-3, and VEGF, and moxibustion may play a potential role in bone protection.