Poster Presentation Australasian Society for Immunology Annual Scientific Meeting 2014

Molecular hallmarks in myasthenia gravis (#302)

Claudia Barzago 1 , Srinivasan Kandhadayar Gopalan 1 , Josephine Lum 1 , Raffaele Calogero 2 , Michael Poidinger 1 , Paola Cavalcante 3 , Pia Bernasconi 3 , Renato Mantegazza 3 , Francesca Zolezzi 1 , Lucia Mori 1
  1. Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A*STAR), Singapore
  2. Molecular Biotechnology and Health Sciences, Molecular Biotechnology Center, University of Torino, Turin, Italy
  3. Neurology IV Neuromuscular Diseases and Neuroimmunology, Foundation Neurological Institute "Carlo Besta", Milan, Italy

Myasthenia gravis (MG) is a T-dependent B-cell mediated autoimmune disorder characterized by impaired neuromuscular transmission, resulting in muscular weakness and fatigability. In most of the patients (over 80%) the disease is caused by autoantibodies against the acetylcholine receptor (AChR). Several lines of evidence indicate that the thymus is the main site of the autosensitization process in AChR-MG patients, who frequently undergo symptom remission after thymectomy. However, the exact immunological mechanisms underlying the autoimmune response are still unknown. We are exploiting next-generation sequencing approaches: 1. to compare TCR and BCR repertoires between MG patients and controls, and 2. to identify a molecular signature of the disease in peripheral blood of MG patients. We found that CDR3 amino acid length distribution was different from controls in 4 out of 12 MG patients, suggesting a possible clinical relevance. We are currently further analyzing the data and the correlation with the disease.

RNA deep sequencing combined with Ingenuity Pathway Analysis (IPA) revealed that 128 genes and 9 microRNA precursors were differentially expressed between MG patients and controls. By qPCR, we found that five microRNAs (i.e. miR-612, miR-1299, miR-3651, miR-3654 and miR-4426) were up-regulated in MG patients compared to controls. NanoString technology validated the predicted differentially expressed miRNA-target genes. Interestingly, anti-correlation of the expression levels was found between the up-regulated miR-612 and miR-3651 and down-regulated target genes. Furthermore, functional annotation performed by IPA showed that 17% (22 out of 128) of the differentially expressed genes were associated with viral infections. Some of them were selected and validated, thus suggesting that in MG patients an alteration in anti-viral responses might occur. We will discuss our findings with the aim of better understanding the molecular basis of MG pathogenesis.