Interleukin-35 is a critical regulator of immunity during helminth infections associated with multiple sclerosis.
Jorge CorrealeMariano MarrodanEdgar Carnero ContenttiPublished in: Immunology (2021)
Multiple sclerosis (MS) is currently thought to arise by interactions between genetic susceptibility and environmental factors. Infections in general trigger autoimmune responses causing clinical manifestations of disease. However, as a result of regulatory T (Treg)- and regulatory B (Breg)-cell induction, helminth infections tend to dampen disease activity. IL-35, the newest member of the IL-12 family, is an inhibitory cytokine composed of an EBI3β chain subunit, and an IL-12p35 subunit. The aim of this study was to investigate the role of IL-35 during parasite infections occurring in individuals with MS. Numbers of IL-35-producing Breg cells are higher in CSF from helminth-infected than from uninfected MS subjects, a finding associated with decreased MRI disease activity. Interestingly, stimulation of CD19+ B cells with IL-35 promotes conversion of these cells to Breg cells producing both IL-35 and IL-10. Coculture of B cells from helminth-infected MS patients inhibits proliferation of Th1 and Th17 myelin peptide-specific T cells, as well as production of IFN-γ and IL-17. Following activation, CD4+ CD25+ Treg cells significantly upregulate expression of EBI3 and IL-12p35 mRNA. Furthermore, CD4+ CD25- T cells activated in the presence of IL-35 induce a population of cells with regulatory function, known as iTR35. Finally, B cells from normal individuals cultured in vitro in the presence of the helminth antigen SEA increase expression of the transcription BATF, IRF4 and IRF8, acquiring a pattern similar to that of IL-35 Breg cells. These data highlight the important immunoregulatory effects of IL-35 on both Breg and Treg cells, observed in helminth-infected MS subjects.
Keyphrases
- multiple sclerosis
- induced apoptosis
- cell cycle arrest
- disease activity
- systemic lupus erythematosus
- mass spectrometry
- signaling pathway
- endoplasmic reticulum stress
- cell death
- magnetic resonance imaging
- immune response
- machine learning
- single cell
- dendritic cells
- ejection fraction
- computed tomography
- prognostic factors
- mesenchymal stem cells
- artificial intelligence
- big data
- rheumatoid arthritis patients
- hiv infected
- dna methylation
- white matter
- drug induced