Relationship between rheumatoid arthritis and cardiovascular comorbidity, causation or co-occurrence: A Mendelian randomization study

Genetic relationship between rheumatoid arthritis and cardiovascular diseases : A systematic review of Mendelian randomization studies

OBJECTIVE

Rheumatoid arthritis (RA) is recognized as a chronic autoimmune disorder with systemic inflammation and joint damage. Its potential role as a risk factor for cardiovascular diseases (CVD) is increasingly noted. This review delves into the causal relationship between RA and CVD, with Mendelian randomization (MR) offering a genetic perspective.

METHODS

An extensive search was conducted in PubMed, Cochrane and Web of Science to identify MR studies addressing the RA-CVD link. Out of 530 studies, 9 met the inclusion criteria, which were rigorously assessed using a critical appraisal checklist. These were further stratified by a sensitivity analysis into categories reflecting the strength of their evidence, from not evaluable to robust.

RESULTS

From the nine included studies, eight supported a causal association between RA and an increased risk of CVD, specifically coronary artery disease (CAD) and one did not support a link between RA and heart failure. The results suggest that genetic factors associated with RA may contribute to an elevated risk for CVD. Chronic inflammation, prevalent in RA, emerges as a key mediator in this connection.

CONCLUSION

The systematic review corroborates a genetic causal link between RA and CVD, as evidenced by eight of the nine MR studies reviewed. This suggests a need for integrated cardiovascular risk management in the treatment of RA patients. The findings advocate considering anti-inflammatory treatment that can reduce cardiovascular risk. The overarching evidence signifies a potential direction for new therapeutic strategies aimed at enhancing cardiovascular health in RA patients.

Investigating the causal relationship between rheumatoid arthritis and cardiovascular disease: A Mendelian randomization study

OBJECTIVE

Previous research has revealed a positive correlation between rheumatoid arthritis (RA) and cardiovascular diseases, but the causal relationship is unclear. This study applies Mendelian randomization to examine whether RA causally contributes to the likelihood of various cardiovascular diseases, such as heart failure, coronary artery disease, and atrial fibrillation.

METHODS

Using genome-wide association data, we conducted a univariable MR (UVMR) analysis to evaluate the causal impact of RA on CVD, primarily utilizing the inverse variance weighted method. Additional MR methods were used to test the robustness of the results. Multivariable MR (MVMR) was applied to explore potential confounders.

RESULTS

In the European population, genetically predicted RA had a harmful causal effect on HF, with the IVW analysis indicating an OR of 1.06 (95% CI: 1.02-1.10, P < 0.01) based on 23 SNPs. No causal relationships were found between RA and other CVDs. The MVMR analysis did not identify significant causal impact of rheumatoid arthritis on HF after controlling for traditional risk factors. In the Asian population, RA was associated with an adverse effect on AF, with the IVW method reporting an OR of 1.20 (95% CI: 1.01-1.41, P = 0.03) for 5 SNPs. No other CVD relationships were found.

CONCLUSIONS

Our MR analysis indicates that genetic susceptibility to rheumatoid arthritis increases the likelihood of heart failure in European populations and atrial fibrillation in East Asian populations. However, established CVD risk factors, such as smoking, overweight, and physical inactivity, remain critically important in the management of RA. Key Points • Multiple studies have highlighted a marked increase in the cardiovascular event risk among individuals with RA. However, additional RCTs are needed for confirmation. • We applied Mendelian randomization to explore the potential causal relationship between rheumatoid arthritis and cardiovascular conditions. The findings demonstrated a causal link between RA and heart failure among European populations, as well as an association between RA and atrial fibrillation in East Asian groups. • Further adjustments using multivariable Mendelian randomization to account for the influence of traditional cardiovascular risk factors revealed that the causal association between RA and heart failure disappeared.

Biologics or Janus Kinase Inhibitors in Rheumatoid Arthritis Patients Who are Insufficient Responders to Conventional Anti-Rheumatic Drugs

Rheumatoid arthritis (RA) is a chronic immune-mediated inflammatory disease which can induce progressive disability if not properly treated early. Over the last 20 years, the improvement of knowledge on the pathogenesis of the disease has made available several drugs targeting key elements of the pathogenetic process, which now represent the preferred treatment option after the failure of first-line therapy with conventional drugs such as methotrexate (MTX). To this category of targeted drugs belong anti-cytokine or cell-targeted biological agents and more recently also Janus kinase inhibitors (JAKis). In the absence to date of specific biomarkers to guide the therapeutic choice in the context of true precision medicine, the choice of the first targeted drug after MTX failure is guided by treatment cost (especially after the marketing of biosimilar products) and by the clinical characteristics of the patient (age, sex, comorbidities and compliance) and the disease (presence or absence of autoantibodies and systemic or extra-articular manifestations), which may influence the efficacy and safety profile of the available products. This viewpoint focuses on the decision-making process underlying the personalized approach to RA therapy and will analyse the evidence in the literature supporting the choice of individual products and in particular the differential choice between biological drugs and JAKis.

Rheumatoid arthritis increases the risk of heart failure: results from the cross-sectional study in the US population and mendelian randomization analysis in the European population

OBJECTIVE

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease. Among its various complications, heart failure (HF) has been recognized as the second leading cause of cardiovascular death in RA patients. The objective of this study was to investigate the relationship between RA and HF using epidemiological and genetic approaches.

METHODS

The study included 37,736 participants from the 1999-2020 National Health and Nutrition Examination Survey. Associations between RA and HF in the US population were assessed with weighted multivariate logistic regression analysis. A two-sample Mendelian randomization (MR) analysis was employed to establish the causal relationship between the two variables. The primary analysis method utilized was inverse variance weighting (IVW). Additionally, horizontal pleiotropy and heterogeneity were assessed to account for potential confounding factors. In cases where multiple independent datasets were accessible during MR analysis, we combined the findings through a meta-analytical approach.

RESULTS

In observational studies, the prevalence of HF in combination with RA reached 7.11% (95%CI 5.83 to 8.39). RA was positively associated with an increased prevalence of HF in the US population [odds ratio (OR):1.93, 95% confidence interval (CI):1.47-2.54, P < 0.0001]. In a MR analysis utilizing a meta-analytical approach to amalgamate the results of the IVW method, we identified a significant causal link between genetically predicted RA and a heightened risk of HF (OR = 1.083, 95% CI: 1.028-1.141; P = 0.003). However, this association was not deemed significant for seronegative RA (SRA) (OR = 1.028, 95% CI: 0.992-1.065; P = 0.126). These findings were consistent across sensitivity analyses and did not indicate any horizontal pleiotropy.

CONCLUSION

RA correlates with an elevated prevalence of HF within the US population. Furthermore, genetic evidence derived from European populations underscores a causal link between RA and the risk of HF. However this association was not significant in SRA.

Updates on interstitial lung disease and other selected extra-articular manifestations of rheumatoid arthritis

PURPOSE OF REVIEW

To discuss changes in epidemiology, recent advances in understanding of the pathogenesis and management of selected extraarticular manifestations of rheumatoid arthritis (ExRA).

RECENT FINDINGS

The incidence of ExRA overall and subcutaneous rheumatoid nodules in particular is declining after 2000. These trends reflect improved RA disease activity with early effective immunosuppressive treatments; changing environmental risk factors can be contributing. ExRA continues to carry a two-fold increased mortality risk. RA-associated interstitial lung disease (RA-ILD) is a major contributor to mortality, with no decline in incidence and scant therapeutic options. Individualized risk stratification for RA-ILD based on patient-level risk factors and biomarker profile is evolving with MUC5B as a major genetic risk factor. Clinical trials are underway to evaluate the benefits of novel antifibrotic therapies and targeted therapies for RA-ILD. The risk of cardiovascular disease in RA is generally amendable to treatment with disease-modifying antirheumatic drugs, although cardiovascular risk associated with JAK inhibition is not fully understood.

SUMMARY

Despite reduction in incidence of ExRA overall, the incidence of RA-ILD shows no significant decline and remains a major therapeutic challenge. The use of novel antifibrotics and immunosuppressive drugs shows promise in slowing the progression of RA-ILD.

Exploring the causal association of rheumatoid arthritis with atrial fibrillation: a Mendelian randomization study

BACKGROUND

It has been proved that rheumatoid arthritis (RA) patients have high incidence of atrial fibrillation (AF). Nevertheless, whether they have causal relevance is uncertain. This study aimed to explore and verify the authenticity of causal relationship between RA and AF using Mendelian randomization (MR).

METHODS

The genome-wide association study (GWAS) summary data from Biobank Japan Project (BBJ) (RA, 4199 cases and 208,254 controls) were regarded as exposure data and the GWAS data from European Bio-informatics Institute database (EBI) (AF, 15,979 cases and 102,776 controls) as outcome data. The causal effect was appraised by the inverse variance weighted (IVW) method, MR-Egger regression, and weighted median estimator. MR-robust adjusted profile score (MR-RAPS) method was delivered to examine the robustness of causal relationship and MR Pleiotropy Residual Sum and Outlier (MR-PRESSO) method to control horizontal (directional) pleiotropy.

RESULTS

The results indicated that RA increased the risk of AF (IVW, the odds ratio (OR) = 1.060; 95% confidence interval (CI), 1.028 to 1.092; p = 1.411 × 10-4; weighted median, OR = 1.046, 95% CI, 1.002 to 1.093, p = 0.047). The MR analysis also showed this causal effect through all four IVW methods with various statistical algorithms. Both MR-RAPS and MR-PRESSO supported the causality of RA and AF. Also, the MR-PRESSO result indicated the absence of apparent pleiotropy.

CONCLUSION

There is a causal association between RA and AF. RA patients are genetically more vulnerable to AF. This study may contribute to further exploring early clinical prevention and fundamental mechanism of AF in patients with RA. Key Points • We provided some genetic evidence for the causal link between rheumatoid arthritis (RA) and atrial fibrillation (AF) with multiple Mendelian randomization (MR) methods. • RA patients were genetically more vulnerable to AF. • This study partly shed light on latent fundamental mechanisms underlying RA-induced AF and inspired future studies on RA-AF relationship.