Abstract

In higher vertebrates, mucosal sites at the border between the internal and external environments, directly interact with bacteria, viruses, and fungi. Through co-evolution, hosts developed mechanisms of tolerance or ignorance toward some infectious agents, because hosts established “gain of function” interactions with symbiotic bacteria. Indeed, some bacteria assist hosts in different functions, among which are digestion of complex carbohydrates, and absorption and supply of vitamins. There is no doubt that microbiota modulate innate and acquired immune responses starting at birth. However, variations in quality and quantity of bacterial species interfere with the equilibrium between inflammation and tolerance. In fact, correlations between gut bacteria composition and the severity of inflammation were first described for inflammatory bowel diseases and later extended to other pathologies. The genetic background, environmental factors (e.g., stress or smoking), and diet can induce strong changes in the resident bacteria which can expose the intestinal epithelium to a variety of different metabolites, many of which have unknown functions and consequences. In addition, alterations in gut permeability may allow pathogens entry, thereby triggering infection and/or chronic inflammation. In this context, a local event occurring at a mucosal site may be the triggering cause of an autoimmune reaction that eventually involves distant sites or organs. Recently, several studies attributed a pathogenic role to altered oral microbiota in rheumatoid arthritis (RA) and to gut dysbiosis in spondyloarthritis (SpA). There is also growing evidence that different drugs, such as antibiotics and immunosuppressants, can influence and be influenced by the diversity and composition of microbiota in RA and SpA patients. Hence, in complex disorders such RA and SpA, not only the genetic background, gender, and immunologic context of the individual are relevant, but also the history of infections and the structure of the microbial community at mucosal sites should be considered. Here the role of the microbiota and infections in the initiation and progression of chronic arthritis is discussed, as well as how these factors can influence a patient’s response to synthetic and biologic immunosuppressive therapy.

Highlights

  • Specialty section: This article was submitted to Microbial Immunology, a section of the journal Frontiers in Microbiology

  • The stimulation of systemic inflammation induced by the infectious pathogen can resemble a reactivation of the autoimmune arthritis, leading clinicians to increase the immunosuppressive therapy with a consequent worsening and dissemination of the infection

  • Patients with autoimmune arthritis are at high risk of infections, due to endogenous and external factors

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Summary

MICROBIOTA AND THE IMMUNE SYSTEM

Host–microbe interactions are the result of a co-evolution process, in which both partners have set borders and have developed mechanisms of tolerance or ignorance. AS patients showed disruption of the basal membrane with compromised epithelial cell permeability, hyperplasia of goblet cells (with increased mucins production) (Ciccia et al, 2012) and activation of Paneth cells, producing high levels of adenosine monophosphate, such as α-defensin 5 (Ciccia et al, 2010) and proinflammatory cytokines, such as IL23 (Ciccia et al, 2009) These characteristics may be the cause or the consequence of dysbiosis, with changes in the diversity of the commensal bacteria (Costello et al, 2015). Porphyromonas gingivalis peptidyl-arginine-deiminases enzyme (PPAD) can catalyze citrullination on different self-proteins (mainly α-enolase and fibrinogen) resulting in immune evasion by these neo-epitopes and the production of ACPAs (McInnes and Schett, 2011) It has been reported a direct correlation exists between the serum level of antibodies to PG and ACPAs in RA patients (Mercado et al, 2001; Dissick et al, 2010; Scher et al, 2012; Lange et al, 2016).

Increased amount
Pathogenic mechanisms
INFECTIONS AND ARTHRITIS
Findings
CONCLUSION
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