a sensitive method for detecting peptide-specific cd4+ t cell responses in peripheral blood from patients with myasthenia gravis

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2017
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Abstract
Myasthenia gravis (MG) is an autoimmune neurological disorder typified by skeletal muscle fatigue and most often production of autoantibodies against the nicotinic acetylcholine receptor (AChR). The present study was undertaken to assess the extent of AChR-peptide recognition in MG patients using co-culturing (DC:TC) of autologous monocyte-derived dendritic cells (moDCs) and highly enriched CD4+ T cells from the blood as compared to the traditional whole peripheral blood mononuclear cell (PBMC) cultures. We found that the DC:TC cultures were highly superior to the PBMC cultures for detection of reactivity toward HLA-DQ/DR-restricted AChR-peptides. In fact, whereas DC:TC cultures identified recognition in all MG patients the PBMC cultures failed to detect responsiveness in around 40% of the patients. Furthermore, reactivity to multiple peptides was evident in DC:TC cultures, while PBMC cultures mostly exhibited reactivity to a single peptide. No healthy control (HC) CD4+ T cells responded to the peptides in either culture system. Interestingly, whereas spontaneous production of IFNγ and IL-17 was observed in the DC:TC cultures from MG patients, recall responses to peptides enhanced IL-10 production in 9/13 MG patients, while little increase in IFNγ and IL-17 was seen. HCs did not produce cytokines to peptide stimulations. We conclude that the DC: TC culture system is significantly more sensitive and better identifies the extent of responsiveness in MG patients to AChR-peptides than traditional PBMC cultures.
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sharma2017frontiersa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Sapna Sharma;Clas Malmeström;Clas Malmeström;Christopher Lindberg;Sarah Meisel;Karin Schön;Martina Verolin;Nils Yngve Lycke
Journal sudebno-meditsinskaia ekspertiza
Year 2017
DOI
10.3389/fimmu.2017.01370
URL
http://journal.frontiersin.org/article/10.3389/fimmu.2017.01370/full
Keywords
lyapunov stability neural networks dendritic cells autoimmune disease muscle fatigue cd4+ t cells myasthenia gravis acetylcholine receptor computer science allergy neuromuscular electrical stimulationmechanical engineering and machineryelectronic computers

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