Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry

Background: Ultrasound guided sampling of human lymph node (LN) combined with advanced flow cytometry allows phenotypic analysis of multiple immune cell subsets. These may provide insights into immune processes and responses to immunotherapies not apparent from analysis of the blood.Methods: Ultraso...

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Main Authors: Jennie H. M. Yang, Leena Khatri, Marius Mickunas, Evangelia Williams, Danijela Tatovic, Mohammad Alhadj Ali, Philippa Young, Penelope Moyle, Vishal Sahni, Ryan Wang, Rejbinder Kaur, Gillian M. Tannahill, Andrew R. Beaton, Danielle M. Gerlag, Caroline O. S. Savage, Antonella Napolitano Rosen, Frank Waldron-Lynch, Colin M. Dayan, Timothy I. M. Tree
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2019.02547/full
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author Jennie H. M. Yang
Jennie H. M. Yang
Leena Khatri
Leena Khatri
Marius Mickunas
Marius Mickunas
Evangelia Williams
Evangelia Williams
Danijela Tatovic
Mohammad Alhadj Ali
Philippa Young
Penelope Moyle
Vishal Sahni
Ryan Wang
Rejbinder Kaur
Gillian M. Tannahill
Andrew R. Beaton
Danielle M. Gerlag
Caroline O. S. Savage
Antonella Napolitano Rosen
Frank Waldron-Lynch
Colin M. Dayan
Timothy I. M. Tree
Timothy I. M. Tree
spellingShingle Jennie H. M. Yang
Jennie H. M. Yang
Leena Khatri
Leena Khatri
Marius Mickunas
Marius Mickunas
Evangelia Williams
Evangelia Williams
Danijela Tatovic
Mohammad Alhadj Ali
Philippa Young
Penelope Moyle
Vishal Sahni
Ryan Wang
Rejbinder Kaur
Gillian M. Tannahill
Andrew R. Beaton
Danielle M. Gerlag
Caroline O. S. Savage
Antonella Napolitano Rosen
Frank Waldron-Lynch
Colin M. Dayan
Timothy I. M. Tree
Timothy I. M. Tree
Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry
Frontiers in Immunology
type 1 diabetes
autoimmunity
lymph node
biomarker
immune monitoring
author_facet Jennie H. M. Yang
Jennie H. M. Yang
Leena Khatri
Leena Khatri
Marius Mickunas
Marius Mickunas
Evangelia Williams
Evangelia Williams
Danijela Tatovic
Mohammad Alhadj Ali
Philippa Young
Penelope Moyle
Vishal Sahni
Ryan Wang
Rejbinder Kaur
Gillian M. Tannahill
Andrew R. Beaton
Danielle M. Gerlag
Caroline O. S. Savage
Antonella Napolitano Rosen
Frank Waldron-Lynch
Colin M. Dayan
Timothy I. M. Tree
Timothy I. M. Tree
author_sort Jennie H. M. Yang
title Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry
title_short Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry
title_full Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry
title_fullStr Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry
title_full_unstemmed Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow Cytometry
title_sort phenotypic analysis of human lymph nodes in subjects with new-onset type 1 diabetes and healthy individuals by flow cytometry
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2019-10-01
description Background: Ultrasound guided sampling of human lymph node (LN) combined with advanced flow cytometry allows phenotypic analysis of multiple immune cell subsets. These may provide insights into immune processes and responses to immunotherapies not apparent from analysis of the blood.Methods: Ultrasound guided inguinal LN samples were obtained by both fine needle aspiration (FNA) and core needle biopsy in 10 adults within 8 weeks of diagnosis of type 1 diabetes (T1D) and 12 age-matched healthy controls at two study centers. Peripheral blood mononuclear cells (PBMC) were obtained on the same occasion. Samples were transported same day to the central laboratory and analyzed by multicolour flow cytometry.Results: LN sampling was well-tolerated and yielded sufficient cells for analysis in 95% of cases. We confirmed the segregation of CD69+ cells into LN and the predominance of CD8+ Temra cells in blood previously reported. In addition, we demonstrated clear enrichment of CD8+ naïve, FOXP3+ Treg, class-switched B cells, CD56bright NK cells and plasmacytoid dendritic cells (DC) in LNs as well as CD4+ T cells of the Th2 phenotype and those expressing Helios and Ki67. Conventional NK cells were virtually absent from LNs as were Th22 and Th1Th17 cells. Paired correlation analysis of blood and LN in the same individuals indicated that for many cell subsets, especially those associated with activation: such as CD25+ and proliferating (Ki67+) T cells, activated follicular helper T cells and class-switched B cells, levels in the LN compartment could not be predicted by analysis of blood. We also observed an increase in Th1-like Treg and less proliferating (Ki67+) CD4+ T cells in LN from T1D compared to control LNs, changes which were not reflected in the blood.Conclusions: LN sampling in humans is well-tolerated. We provide the first detailed “roadmap” comparing immune subsets in LN vs. blood emphasizing a role for differentiated effector T cells in the blood and T cell regulation, B cell activation and memory in the LN. For many subsets, frequencies in blood, did not correlate with LN, suggesting that LN sampling would be valuable for monitoring immuno-therapies where these subsets may be impacted.
topic type 1 diabetes
autoimmunity
lymph node
biomarker
immune monitoring
url https://www.frontiersin.org/article/10.3389/fimmu.2019.02547/full
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spelling doaj-69d6c7577a7e4a29879bacbc563ce0342020-11-24T21:41:24ZengFrontiers Media S.A.Frontiers in Immunology1664-32242019-10-011010.3389/fimmu.2019.02547485327Phenotypic Analysis of Human Lymph Nodes in Subjects With New-Onset Type 1 Diabetes and Healthy Individuals by Flow CytometryJennie H. M. Yang0Jennie H. M. Yang1Leena Khatri2Leena Khatri3Marius Mickunas4Marius Mickunas5Evangelia Williams6Evangelia Williams7Danijela Tatovic8Mohammad Alhadj Ali9Philippa Young10Penelope Moyle11Vishal Sahni12Ryan Wang13Rejbinder Kaur14Gillian M. Tannahill15Andrew R. Beaton16Danielle M. Gerlag17Caroline O. S. Savage18Antonella Napolitano Rosen19Frank Waldron-Lynch20Colin M. Dayan21Timothy I. M. Tree22Timothy I. M. Tree23Department of Immunobiology, School of Immunology & Microbial Sciences (SIMS), King's College London, London, United KingdomNIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United KingdomDepartment of Immunobiology, School of Immunology & Microbial Sciences (SIMS), King's College London, London, United KingdomNIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United KingdomDepartment of Immunobiology, School of Immunology & Microbial Sciences (SIMS), King's College London, London, United KingdomNIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United KingdomDepartment of Immunobiology, School of Immunology & Microbial Sciences (SIMS), King's College London, London, United KingdomNIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United KingdomDiabetes/Autoimmunity Research Group, Cardiff University School of Medicine, Cardiff, United KingdomDiabetes/Autoimmunity Research Group, Cardiff University School of Medicine, Cardiff, United KingdomPublic Health Wales, Cardiff, United KingdomExperimental Medicine and Immunotherapeutics (EMIT), Department of Medicine, University of Cambridge, Cambridge, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomGlaxoSmithKline Medicines Research Centre, Stevenage, United KingdomExperimental Medicine and Immunotherapeutics (EMIT), Department of Medicine, University of Cambridge, Cambridge, United KingdomDiabetes/Autoimmunity Research Group, Cardiff University School of Medicine, Cardiff, United KingdomDepartment of Immunobiology, School of Immunology & Microbial Sciences (SIMS), King's College London, London, United KingdomNIHR Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust and King's College London, London, United KingdomBackground: Ultrasound guided sampling of human lymph node (LN) combined with advanced flow cytometry allows phenotypic analysis of multiple immune cell subsets. These may provide insights into immune processes and responses to immunotherapies not apparent from analysis of the blood.Methods: Ultrasound guided inguinal LN samples were obtained by both fine needle aspiration (FNA) and core needle biopsy in 10 adults within 8 weeks of diagnosis of type 1 diabetes (T1D) and 12 age-matched healthy controls at two study centers. Peripheral blood mononuclear cells (PBMC) were obtained on the same occasion. Samples were transported same day to the central laboratory and analyzed by multicolour flow cytometry.Results: LN sampling was well-tolerated and yielded sufficient cells for analysis in 95% of cases. We confirmed the segregation of CD69+ cells into LN and the predominance of CD8+ Temra cells in blood previously reported. In addition, we demonstrated clear enrichment of CD8+ naïve, FOXP3+ Treg, class-switched B cells, CD56bright NK cells and plasmacytoid dendritic cells (DC) in LNs as well as CD4+ T cells of the Th2 phenotype and those expressing Helios and Ki67. Conventional NK cells were virtually absent from LNs as were Th22 and Th1Th17 cells. Paired correlation analysis of blood and LN in the same individuals indicated that for many cell subsets, especially those associated with activation: such as CD25+ and proliferating (Ki67+) T cells, activated follicular helper T cells and class-switched B cells, levels in the LN compartment could not be predicted by analysis of blood. We also observed an increase in Th1-like Treg and less proliferating (Ki67+) CD4+ T cells in LN from T1D compared to control LNs, changes which were not reflected in the blood.Conclusions: LN sampling in humans is well-tolerated. We provide the first detailed “roadmap” comparing immune subsets in LN vs. blood emphasizing a role for differentiated effector T cells in the blood and T cell regulation, B cell activation and memory in the LN. For many subsets, frequencies in blood, did not correlate with LN, suggesting that LN sampling would be valuable for monitoring immuno-therapies where these subsets may be impacted.https://www.frontiersin.org/article/10.3389/fimmu.2019.02547/fulltype 1 diabetesautoimmunitylymph nodebiomarkerimmune monitoring