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...
Main Authors: | , , , , , , , , , , , , , , , , , , |
---|---|
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 |
id |
doaj-69d6c7577a7e4a29879bacbc563ce034 |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
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 |
work_keys_str_mv |
AT jenniehmyang phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT jenniehmyang phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT leenakhatri phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT leenakhatri phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT mariusmickunas phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT mariusmickunas phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT evangeliawilliams phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT evangeliawilliams phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT danijelatatovic phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT mohammadalhadjali phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT philippayoung phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT penelopemoyle phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT vishalsahni phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT ryanwang phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT rejbinderkaur phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT gillianmtannahill phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT andrewrbeaton phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT daniellemgerlag phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT carolineossavage phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT antonellanapolitanorosen phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT frankwaldronlynch phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT colinmdayan phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT timothyimtree phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry AT timothyimtree phenotypicanalysisofhumanlymphnodesinsubjectswithnewonsettype1diabetesandhealthyindividualsbyflowcytometry |
_version_ |
1725922234959134720 |
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 |