Cargando…
Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy
BACKGROUND: Intravenous immunoglobulin (IVIG) is a polyspecific pooled immunoglobulin G preparation and one of the commonly used therapeutics for autoimmune diseases including those of neurological origin. A recent report in murine model proposed that IVIG expands regulatory T (T(reg)) cells via ind...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5360043/ https://www.ncbi.nlm.nih.gov/pubmed/28320438 http://dx.doi.org/10.1186/s12974-017-0818-5 |
_version_ | 1782516517778227200 |
---|---|
author | Maddur, Mohan S. Stephen-Victor, Emmanuel Das, Mrinmoy Prakhar, Praveen Sharma, Varun K. Singh, Vikas Rabin, Magalie Trinath, Jamma Balaji, Kithiganahalli N. Bolgert, Francis Vallat, Jean-Michel Magy, Laurent Kaveri, Srini V. Bayry, Jagadeesh |
author_facet | Maddur, Mohan S. Stephen-Victor, Emmanuel Das, Mrinmoy Prakhar, Praveen Sharma, Varun K. Singh, Vikas Rabin, Magalie Trinath, Jamma Balaji, Kithiganahalli N. Bolgert, Francis Vallat, Jean-Michel Magy, Laurent Kaveri, Srini V. Bayry, Jagadeesh |
author_sort | Maddur, Mohan S. |
collection | PubMed |
description | BACKGROUND: Intravenous immunoglobulin (IVIG) is a polyspecific pooled immunoglobulin G preparation and one of the commonly used therapeutics for autoimmune diseases including those of neurological origin. A recent report in murine model proposed that IVIG expands regulatory T (T(reg)) cells via induction of interleukin 33 (IL-33). However, translational insight on these observations is lacking. METHODS: Ten newly diagnosed Guillain-Barré syndrome (GBS) patients were treated with IVIG at the rate of 0.4 g/kg for three to five consecutive days. Clinical evaluation for muscular weakness was performed by Medical Research Council (MRC) and modified Rankin scoring (MRS) system. Heparinized blood samples were collected before and 1, 2, and 4–5 weeks post-IVIG therapy. Peripheral blood mononuclear cells were stained for surface CD4 and intracellular Foxp3, IFN-γ, and tumor necrosis factor alpha (TNF-α) and were analyzed by flow cytometry. IL-33 and prostaglandin E2 in the plasma were measured by ELISA. RESULTS: The fold changes in plasma IL-33 at week 1 showed no correlation with the MRC and MRS scores at weeks 1, 2, and ≥4 post-IVIG therapy. Clinical recovery following IVIG therapy appears to be associated with T(reg) cell response. Contrary to murine study, there was no association between the fold changes in IL-33 at week 1 and T(reg) cell frequency at weeks 1, 2, and ≥4 post-IVIG therapy. T(reg) cell-mediated clinical response to IVIG therapy in GBS patients was associated with reciprocal regulation of effector T cells-expressing TNF-α. CONCLUSION: T(reg) cell expansion by IVIG in patients with autoimmune diseases lack correlation with IL-33. T(reg) cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to IVIG therapy. |
format | Online Article Text |
id | pubmed-5360043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53600432017-03-24 Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy Maddur, Mohan S. Stephen-Victor, Emmanuel Das, Mrinmoy Prakhar, Praveen Sharma, Varun K. Singh, Vikas Rabin, Magalie Trinath, Jamma Balaji, Kithiganahalli N. Bolgert, Francis Vallat, Jean-Michel Magy, Laurent Kaveri, Srini V. Bayry, Jagadeesh J Neuroinflammation Short Report BACKGROUND: Intravenous immunoglobulin (IVIG) is a polyspecific pooled immunoglobulin G preparation and one of the commonly used therapeutics for autoimmune diseases including those of neurological origin. A recent report in murine model proposed that IVIG expands regulatory T (T(reg)) cells via induction of interleukin 33 (IL-33). However, translational insight on these observations is lacking. METHODS: Ten newly diagnosed Guillain-Barré syndrome (GBS) patients were treated with IVIG at the rate of 0.4 g/kg for three to five consecutive days. Clinical evaluation for muscular weakness was performed by Medical Research Council (MRC) and modified Rankin scoring (MRS) system. Heparinized blood samples were collected before and 1, 2, and 4–5 weeks post-IVIG therapy. Peripheral blood mononuclear cells were stained for surface CD4 and intracellular Foxp3, IFN-γ, and tumor necrosis factor alpha (TNF-α) and were analyzed by flow cytometry. IL-33 and prostaglandin E2 in the plasma were measured by ELISA. RESULTS: The fold changes in plasma IL-33 at week 1 showed no correlation with the MRC and MRS scores at weeks 1, 2, and ≥4 post-IVIG therapy. Clinical recovery following IVIG therapy appears to be associated with T(reg) cell response. Contrary to murine study, there was no association between the fold changes in IL-33 at week 1 and T(reg) cell frequency at weeks 1, 2, and ≥4 post-IVIG therapy. T(reg) cell-mediated clinical response to IVIG therapy in GBS patients was associated with reciprocal regulation of effector T cells-expressing TNF-α. CONCLUSION: T(reg) cell expansion by IVIG in patients with autoimmune diseases lack correlation with IL-33. T(reg) cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to IVIG therapy. BioMed Central 2017-03-20 /pmc/articles/PMC5360043/ /pubmed/28320438 http://dx.doi.org/10.1186/s12974-017-0818-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Short Report Maddur, Mohan S. Stephen-Victor, Emmanuel Das, Mrinmoy Prakhar, Praveen Sharma, Varun K. Singh, Vikas Rabin, Magalie Trinath, Jamma Balaji, Kithiganahalli N. Bolgert, Francis Vallat, Jean-Michel Magy, Laurent Kaveri, Srini V. Bayry, Jagadeesh Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy |
title | Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy |
title_full | Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy |
title_fullStr | Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy |
title_full_unstemmed | Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy |
title_short | Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy |
title_sort | regulatory t cell frequency, but not plasma il-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5360043/ https://www.ncbi.nlm.nih.gov/pubmed/28320438 http://dx.doi.org/10.1186/s12974-017-0818-5 |
work_keys_str_mv | AT maddurmohans regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT stephenvictoremmanuel regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT dasmrinmoy regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT prakharpraveen regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT sharmavarunk regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT singhvikas regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT rabinmagalie regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT trinathjamma regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT balajikithiganahallin regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT bolgertfrancis regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT vallatjeanmichel regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT magylaurent regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT kaverisriniv regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy AT bayryjagadeesh regulatorytcellfrequencybutnotplasmail33levelsrepresentspotentialimmunologicalbiomarkertopredictclinicalresponsetointravenousimmunoglobulintherapy |