Biomarkers for treatment change and radiographic progression in patients with rheumatoid arthritis in remission: a 5 year follow-up study

Early rheumatoid arthritis, two distinctive structural damage patterns revealed by MRI: an 8-year longitudinal study

OBJECTIVE

To determine how inflammatory and structural parameters change long-term on standard treatment in rheumatoid arthritis patients and which baseline parameter best predicts long-term structural damage.

MATERIAL AND METHODS

Prospective study of early rheumatoid arthritis (ERA) patients (symptom duration ≤ 24 months) who underwent identical clinical, serological, radiographic, and dynamic contrast-enhanced MRI of the wrist assessments at baseline, year-1, and year-8. MR images were analyzed semi-quantitatively (Rheumatoid Arthritis Magnetic Resonance Imaging Score [RAMRIS]) and quantitatively (synovial volume (cm3); synovial perfusion; bone marrow edema (BME) proportion [%]). Multivariate analyses and receiver operating curves were applied to find the best predictor of long-term structural damage.

RESULTS

81 patients (61 ± 12 years, F/M:67/14) were studied. MRI-detected inflammatory parameters markedly improved from baseline to year-1 and slightly deteriorated from year-1 to year-8 (synovial volume:6.7 ± 5.0→2.6 ± 2.9→3.6 ± 3.3 cm3 (p < 0.01); BME proportion:13.1 ± 9.3→7.4 ± 5.0→9.2 ± 9.7% [p < 0.01]). Structural damage progressively deteriorated from baseline to year-8. Two long-term structural damage pattern groups were apparent, namely a "non-progressive structural damage pattern" (62%, 50/81) and a "progressive structural damage pattern" (38%, 31/81). Functional impairment was more frequent and more severe at year-8 in patients with progressive structural damage. MRI-detected bone erosion score better predicted (AUC = 0.81, CI: 0.71-0.91) year-8 structural damage than clinical (SDAI AUC = 0.61, CI: 0.48-0.74), serological (CRP AUC = 0.60, CI: 0.47-0.73), or radiographic (AUC = 0.59, CI: 0.45-0.72) assessment.

CONCLUSION

In ERA patients, two distinct structural damage patterns are evident. Baseline bone erosion score is better than clinical, serological, or radiographic assessment at predicting long-term structural damage.

KEY POINTS

Questions The value of MRI in predicting long-term structural damage in ERA patients is not clear. Findings This study identified two distinct long-term structural damage progression patterns of ERA patients. MRI can better differentiate between these two groups at baseline than clinical, serological, or radiographic assessment. Clinical relevance MRI examination should be performed in all ERA patients at baseline to determine their structural damage pattern. This will allow a better prediction of patient outcomes in the long-term.

Relevance of circulating Semaphorin 4A for rheumatoid arthritis response to treatment

The lack of validated tools to predict rheumatoid arthritis (RA) disease course warrants the development of new reliable biomarkers. Our aim was to evaluate the merit of circulating SEMA4A for the prediction of outcomes in patients with RA. In a first cohort of 101 consecutive RA patients followed up for 41 ± 15 months, increased baseline SEMA4A levels were identified as an independent predictor of treatment failure (hazard ratio, HR 2.71, 95% CI 1.14-6.43), defined by the occurrence of patient-reported flares and initiation or change of targeted therapy. The highest predictive value of treatment failure was obtained with the combination of increased circulating SEMA4A and/or Disease Activity Score (DAS) 28-CRP > 3.2 and/or active synovitis on doppler ultrasound (HR 10.42, 95% CI 1.41-76.94). In a second independent cohort of 40 consecutive RA patients who initiated new therapy because of insufficient disease control, baseline SEMA4A levels were significantly higher in patients who further experienced none or moderate response, and SEMA4A concentrations were markedly decreased in the group of patients with good clinical response as compared to non-responders. Circulating SEMA4A appears as an appealing biomarker in RA with ability to predict treatment failure, and with association with response to therapy.

Synovial biopsies for molecular definition of rheumatoid arthritis and treatment response phenotyping: where can we improve?

INTRODUCTION

The extensive knowledge gained in the cellular and molecular mechanisms underlying Rheumatoid Arthritis (RA) pathogenesis has led to therapeutic advances. However, up to 10-20% of patients fail to respond to multiple therapeutic agents being classified as multi-drugresistant. A key challenge moving forward will be the implementation of synovial biopsies in clinical practice to facilitate the shift from the current trial-and-error strategy toward new forms of clinical trials. Biomarker-driven trials have the potential to improve drug selection and patient stratification, reduce economic costs and unnecessary drug-related toxicity.

AREAS COVERED

This special report explores the clinical and research applications of synovial biopsy, the advancement in the molecular pathobiology of RA to better understand disease pathogenesis and treatment response, and the way forward for the paradigm shift needed.

EXPERT OPINION

In the current era of highly targeted biologic drugs which have dramatically transformed the outlook of RA patients, the use of synovial biopsy represents a valuable practical tool to dissect disease pathogenesis and, consequently, treatment response. In the near future, it is hoped that technological advances will allow for speeding up synovial molecular analysis and that the design of new biomarker-driven trials will enable the allocation of patients to more effective treatment.

The Crucial Questions on Synovial Biopsy: When, Why, Who, What, Where, and How?

In the majority of joint diseases, changes in the organization of the synovial architecture appear early. Synovial tissue analysis might provide useful information for the diagnosis, especially in atypical and rare joint disorders, and might have a value in case of undifferentiated inflammatory arthritis, by improving disease classification. After patient selection, it is crucial to address the dialogue between the clinician and the pathologist for adequately handling the sample, allowing identifying histological patterns depending on the clinical suspicion. Moreover, synovial tissue analysis gives insight into disease progression helping patient stratification, by working as an actionable and mechanistic biomarker. Finally, it contributes to an understanding of joint disease pathogenesis holding promise for identifying new synovial biomarkers and developing new therapeutic strategies. All of the indications mentioned above are not so far from being investigated in everyday clinical practice in tertiary referral hospitals, thanks to the great feasibility and safety of old and more recent techniques such as ultrasound-guided needle biopsy and needle arthroscopy. Thus, even in rheumatology clinical practice, pathobiology might be a key component in the management and treatment decision-making process. This review aims to examine some essential and crucial points regarding why, when, where, and how to perform a synovial biopsy in clinical practice and research settings and what information you might expect after a proper patient selection.

Comparable long-term outcomes between DAS28-ESR remission criteria and ACR/EULAR definitions in patients with established rheumatoid arthritis

OBJECTIVE

To compare long-term clinical, immunological, and radiographic outcomes between five sets of remission criteria (four clinical and one ultrasound (US)-based) in a cohort of RA patients in a clinical care setting.

METHODS

RA patients in remission (DAS28-ESR <2.6) were selected. Hand US assessments were made, and serum levels of inflammation/angiogenesis biomarkers were determined at baseline. Changes in baseline treatment and radiographic progression, defined as the variation in the modified Sharp van der Heijde score (mSHS) at 5 years, were analyzed. Five concepts were used to define remission: DAS28-ESR<2.6, SDAI<3.3, CDAI<2.8, Boolean criteria and Power Doppler score (PD)=0.

RESULTS

Eighty-seven patients with DAS28-ESR<2.6 were included. One-third fulfilled SDAI (33.3%), CDAI (31%), and Boolean (35.6%) remission criteria, and 25.3% had no PD signal in the US evaluation. 26 patients (29.9%) changed therapy, ranging from 13.6% (PD remission) to 33.3% (CDAI remission) (p=0.11). Serum levels of ANG (p=0.015) and TNFa (p=0.025) were significantly lower in patients with Boolean remission, whereas IL-18 levels were significantly lower in those with PD remission (p=0.049). Patients without PD in the US assessment had significantly-lower mSHS erosion progression (p=0.014) at 5 years.

CONCLUSIONS

Patients with established RA in DAS28-ESR remission had comparable clinical and radiographic outcomes in SDAI, CDAI, and Boolean definitions in a clinical care setting. US remission remained the closest to structural damage abrogation. Key Points • This study provides real world data on long-term outcomes of five clinical and imaging remission criteria in rheumatoid arthritis. • DAS28-ESR remission criteria had comparable radiographic progression and clinical prognosis than more stringent criteria in clinical practice. • US-based remission was closest to structural damage abolishment.

Network analysis and transcriptome profiling in peripheral blood mononuclear cells of patients with rheumatoid arthritis

The present study aimed to investigate the differential expression of long non-coding RNAs (lncRNAs) in rheumatoid arthritis (RA). High-throughput gene sequencing technology was used to detect the expression of lncRNA and mRNA in three patients with RA (RA group) and normal controls (NC group). A Bioinformatics analysis was used to assess the effects of differentially expressed mRNAs on signaling pathways and biological functions. The selected dysregulated lncRNAs were verified by reverse transcription-quantitative (RT-q)PCR in the peripheral blood mononuclear cells (PBMCs) of patients with RA and age- and sex-matched controls. A correlation analysis was used to analyze the relationship between lncRNAs and clinical indexes. From the lncRNA sequencing data, significantly differentially expressed lncRNAs between the RA and NC groups were identified by a fold change ≥2 and P<0.05. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis suggested that the differentially expressed mRNAs were mainly involved in organelle composition, intracellular regulation, signaling pathways, cancer, virus and inflammation. A total of four of these lncRNAs were confirmed by RT-qPCR to be significantly differentially expressed (LINC00304, MIR503HG, LINC01504 and FAM95B1). Through the correlation analysis, it was confirmed that there was a strong correlation between these lncRNAs and clinical laboratory indicators and indexes such as course of disease, arthrocele and joint tenderness. Overall, the present results suggested that the expression levels of LINC00304, MIR503HG, LINC01504 and FAM95B1 in PBMCs from patients with RA may serve as potential biomarkers for RA diagnosis, influencing the occurrence and progress of RA.