Advertisement
Study finds patients with asthma are at higher risk for developing SLE
By Patompong Ungprasert, MD, MS
Advertisement
Cleveland Clinic is a non-profit academic medical center. Advertising on our site helps support our mission. We do not endorse non-Cleveland Clinic products or services. Policy
Systemic lupus erythematosus (SLE) is one of the most common autoimmune connective tissue diseases among women of reproductive age. Despite decades of research, the exact etiology and pathogenesis of SLE remain unknown. It is clear that multiple factors, including genetic, hormonal, immunologic and environmental factors, play a role in the development of this autoimmune disease. Previous studies suggest an association between asthma, which affects approximately 4% of the population, and elevated risk of certain chronic diseases including diabetes mellitus,1 inflammatory bowel disease,2 coronary artery disease3 and SLE.4-13 However, the relationship between asthma and SLE remains unclear as some studies suggest a positive association,5,12,13 while others demonstrate a non-significant negative association.6,7
Our recent epidemiologic work attempts to shed more light into the pathogenesis of SLE.14 Through systematic review and meta-analysis, we identified all existing cohort and case-control studies that investigate whether patients with asthma have an increased risk of SLE compared with individuals without asthma. Qualifying cohort studies included one cohort of patients with asthma and another cohort of comparators without asthma. Additionally, qualifying cohort studies compared the incidence of SLE between the groups. Qualifying case-control studies consisted of patients with SLE and controls without SLE. Further, the case-control studies must compare the prior history of asthma between the two groups in order to be included.
Advertisement
We screened more than 20,000 articles from Pubmed/Medline and EMBASE and identified 10 qualified studies. The pooled results from those 10 studies show that the odds of developing SLE later in life is 37% greater for individuals with asthma than for those without asthma (pooled odds ratio of 1.37 with 95% confidence interval of 1.14–1.65, moderate statistical heterogeneity with I2 of 67%). No evidence of publication bias was detected using visualization of funnel plot.
Our observation may help illuminate the pathogenesis of SLE by highlighting the role of the overlapping immunopathogenic pathways between asthma and SLE. Increased levels of TH2 class cytokines, including IL-4, IL-5 and IL-13, have been observed in both asthma and SLE patients.15,16 Therefore, it is possible that up-regulation of TH2 activity along with increased circulating inflammatory markers in asthma patients could trigger systemic inflammation and, subsequently, SLE in the same individuals later in their lives. This hypothesis would emphasize the role of TH2 class cytokines in the pathogenesis, which may warrant more attention from investigators.
However, it is also possible that increased risk of SLE is a function of shared common environmental risk factors rather than shared immunopathogenic pathways. Cigarette smoking, for example, is a well-known risk factor for asthma.17 Smoking is also associated a significant increase in risk of SLE, which is probably mediated by oxidative stress causing DNA damage, epigenetic changes and the formation of anti-dsDNA and dysfunctional T and NK cells.18
Advertisement
Lastly, it is also plausible that the observed increased risk of SLE in asthma patients was partly due to surveillance bias since patients with asthma are more likely to receive continuous medical care because of the chronicity of the disease. Nevertheless, it is unlikely that surveillance bias alone would entirely explain the increased risk, as patients are usually symptomatic from SLE and most patients would eventually seek for medical attention.
Advertisement
Advertisement
Exploring the cost-effectiveness of end-of-life treatment options
Treatments can be effective, but timely diagnosis is key
New research classifies asthma into five clinically important subphenotypes
Findings show profound muscle loss variance between men and women
Dynamic modeling improves the accuracy of outcome predictions for ICU patients
The agent-based model aims to improve prediction accuracy
VOC analysis could provide biological insight into risk factors associated with CDI
Quantum computing being studied as a means to help improve predictive performance, accuracy