Smoking and rheumatoid arthritis--observations from a multicase family study: comment on the article by Silman et al

Predicting diagnostic gene expression profiles associated with immune infiltration in patients with lupus nephritis

Objective

To identify potential diagnostic markers of lupus nephritis (LN) based on bioinformatics and machine learning and to explore the significance of immune cell infiltration in this pathology.

Methods

Seven LN gene expression datasets were downloaded from the GEO database, and the larger sample size was used as the training group to obtain differential genes (DEGs) between LN and healthy controls, and to perform gene function, disease ontology (DO), and gene set enrichment analyses (GSEA). Two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) and support vector machine-recursive feature elimination (SVM-RFE), were applied to identify candidate biomarkers. The diagnostic value of LN diagnostic gene biomarkers was further evaluated in the area under the ROC curve observed in the validation dataset. CIBERSORT was used to analyze 22 immune cell fractions from LN patients and to analyze their correlation with diagnostic markers.

Results

Thirty and twenty-one DEGs were screened in kidney tissue and peripheral blood, respectively. Both of which covered macrophages and interferons. The disease enrichment analysis of DEGs in kidney tissues showed that they were mainly involved in immune and renal diseases, and in peripheral blood it was mainly enriched in cardiovascular system, bone marrow, and oral cavity. The machine learning algorithm combined with external dataset validation revealed that C1QA(AUC = 0.741), C1QB(AUC = 0.758), MX1(AUC = 0.865), RORC(AUC = 0.911), CD177(AUC = 0.855), DEFA4(AUC= 0.843)and HERC5(AUC = 0.880) had high diagnostic value and could be used as diagnostic biomarkers of LN. Compared to controls, pathways such as cell adhesion molecule cam, and systemic lupus erythematosus were activated in kidney tissues; cell cycle, cytoplasmic DNA sensing pathways, NOD-like receptor signaling pathways, proteasome, and RIG-1-like receptors were activated in peripheral blood. Immune cell infiltration analysis showed that diagnostic markers in kidney tissue were associated with T cells CD8 and Dendritic cells resting, and in blood were associated with T cells CD4 memory resting, suggesting that CD4 T cells, CD8 T cells and dendritic cells are closely related to the development and progression of LN.

Conclusion

C1QA, C1QB, MX1, RORC, CD177, DEFA4 and HERC5 could be used as new candidate molecular markers for LN. It may provide new insights into the diagnosis and molecular treatment of LN in the future.

Is Smoking an Unfavorable Prognostic Factor for Rheumatoid Arthritis?

Introduction: Smoking is the environmental factor that plays the most important role in the etiology of rheumatoid arthritis and the only one that can be changed. In rheumatoid arthritis patients, smoking results in erosive, rapidly progressive, poor therapeutic response. There are studies suggesting that auto antibodies (rheumatoid factor and anti citrullinated protein antibodies) production is triggered by exposure to smoking, thus contributing to rheumatoid arthritis.

Objectives: In this study we have proposed to analyze the effects of smoking on the rheumatoid arthritis. Methods: We evaluated 285 patients with RA admitted to Department of Rheumatology, Clinical Emergency Hospital “St. Andrew”, Constanţa during January-December 2013. Demographics of patients and data on the onset and progression of RA were followed. We were particularly interested in the data related to the rheumatoid arthritis prognostic factors as they were established and published by the Romanian Rheumatology Society.

Conclusion: Smoking influences the onset of rheumatoid arthritis, the seropositivity, the presence of extraarticular manifestations, the acute phase reactants and the number of swollen joints. We can therefore conclude that smoking is an unfavorable prognostic factor for rheumatoid arthritis, influencing both the onset and its evolution.

Influence of cigarette smoking on disease outcome in rheumatoid arthritis

Cigarette smoking is a well-known risk factor for rheumatoid arthritis. However, the influence of smoking on disease outcome has only been investigated very recently, and the data are not clear-cut. Smoking has a number of important effects on the immune system and sex hormones that may influence disease pathogenesis. Smoking has also been shown to affect disease outcome in other inflammatory diseases. The major focus of this review is to explore the relationship between smoking and severity of rheumatoid arthritis in detail.

The association of cigarette smoking with disease outcome in patients with early inflammatory polyarthritis

OBJECTIVE

Cigarette smoking is known to increase rheumatoid factor (RF) and nodule formation in patients with rheumatoid arthritis (RA). In this study, we examined the influence of smoking on disease outcome at 3 years among patients newly presenting with inflammatory polyarthritis (IP).

METHODS

We studied 486 patients with IP who were referred to the Norfolk Arthritis Register, of whom 323 (67%) satisfied the American College of Rheumatology 1987 criteria for RA. Smoking status was assessed at baseline. Disease outcome was assessed at 3 years, using measures of joint inflammation, functional disability, and radiologic damage. The influence of smoking on disease outcome was explored using logistic regression techniques, with patients who had never smoked as the referent group. Results are expressed as odds ratios (ORs), with their 95% confidence intervals (95% CIs).

RESULTS

Current smokers were significantly more likely to be RF positive at baseline (47%) than were ex-smokers (34%) and never smokers (31%). After 3 years, rheumatoid nodules were significantly more common in smokers (13%) compared with ex-smokers/never smokers (4%), a relationship which persisted after adjusting for age and sex (OR 4.07, 95% CI 1.38-12). In contrast, after adjusting for age and sex, current smokers had significantly fewer swollen joints (OR 0.61, 95% CI 0.37-0.98). However, smoking status had no influence on the development of erosions or functional disability.

CONCLUSION

Despite smokers being more likely to develop nodules and to be RF positive, current smokers did not have higher levels of radiologic damage, and had fewer swollen joints. We hypothesize that this could be due to either the effect of cigarette smoking on the inflammatory response or other factors (e.g., reduced physical activity in smokers) which may limit joint inflammation and damage.

Hormonal and immunologic risk factors for the development of rheumatoid arthritis: an integrative physiopathogenetic perspective

Evidence indicates that women who are susceptible to premenopausal onset of RA and men each have identifiable risk factors or risk markers long before onset of the clinical disease. Accordingly, further definition of such predictive factors promises to identify persons who are susceptible to developing RA during preclinical phases. Like coronary artery disease, once risks for developing RA can be reliably quantitated, research in primary prevention should become a realistic objective. Disease prevention objectives are central to the public health strategy of the National Arthritis Action Plan and the US Public Health Service "Healthy People 2000" plan (2010 plan also proposed). The decade of arthritis and musculoskeletal diseases (2000-2010) offers an incentive to nurture a new paradigm of RA prevention. Further research in neuroendocrine, immunologic, and microvascular risk factors for the development of RA promises to unravel its complex physiopathogenetic mechanisms and permit identification of persons who are at high risk for developing this disease. Successful research in identifying reliable risk factors (or markers) can be expected to lead to prevention strategies. Effective programs in identifying persons susceptible to RA could lead to earlier control measures and significantly reduce the enormous burden of this common disease, which affects all segments of the population.