Literature DB >> 35025103

Guidelines for standardizing T-cell cytometry assays to link biomarkers, mechanisms, and disease outcomes in type 1 diabetes.

Jennie H M Yang1,2, Kirsten A Ward-Hartstonge3,4, Daniel J Perry5, J Lori Blanchfield6, Amanda L Posgai5, Alice E Wiedeman6, Kirsten Diggins6, Adeeb Rahman7, Timothy I M Tree1,2, Todd M Brusko5,8, Megan K Levings3,4,9, Eddie A James6, Sally C Kent10, Cate Speake11, Dirk Homann12,13, S Alice Long6.   

Abstract

Cytometric immunophenotyping is a powerful tool to discover and implement T-cell biomarkers of type 1 diabetes (T1D) progression and response to clinical therapy. Although many discovery-based T-cell biomarkers have been described, to date, no such markers have been widely adopted in standard practice. The heterogeneous nature of T1D and lack of standardized assays and experimental design across studies is a major barrier to the broader adoption of T-cell immunophenotyping assays. There is an unmet need to harmonize the design of immunophenotyping assays, including those that measure antigen-agnostic cell populations, such that data collected from different clinical trial sites and T1D cohorts are comparable, yet account for cohort-specific features and different drug mechanisms of action. In these Guidelines, we aim to provide expert advice on how to unify aspects of study design and practice. We provide recommendations for defining cohorts, method implementation, as well as tools for data analysis and reporting by highlighting and building on selected successes. Harmonization of cytometry-based T-cell assays will allow researchers to better integrate findings across trials, ultimately enabling the identification and validation of biomarkers of disease progression and treatment response in T1D.
© 2022 Wiley-VCH GmbH.

Entities:  

Keywords:  T cells; biomarkers; flow cytometry; immune monitoring; type 1 diabetes

Mesh:

Substances:

Year:  2022        PMID: 35025103      PMCID: PMC9006584          DOI: 10.1002/eji.202049067

Source DB:  PubMed          Journal:  Eur J Immunol        ISSN: 0014-2980            Impact factor:   5.532


  102 in total

1.  Proinsulin-specific, HLA-DQ8, and HLA-DQ8-transdimer-restricted CD4+ T cells infiltrate islets in type 1 diabetes.

Authors:  Vimukthi Pathiraja; Janine P Kuehlich; Peter D Campbell; Balasubramanian Krishnamurthy; Thomas Loudovaris; P Toby H Coates; Thomas C Brodnicki; Philip J O'Connell; Katherine Kedzierska; Christine Rodda; Philip Bergman; Erin Hill; Anthony W Purcell; Nadine L Dudek; Helen E Thomas; Thomas W H Kay; Stuart I Mannering
Journal:  Diabetes       Date:  2014-08-25       Impact factor: 9.461

2.  HLA class I epitope discovery in type 1 diabetes: independent and reproducible identification of proinsulin epitopes of CD8 T cells--report of the IDS T Cell Workshop Committee.

Authors:  Gabrielle G M Pinkse; Christian Boitard; Timothy I M Tree; Mark Peakman; Bart O Roep
Journal:  Ann N Y Acad Sci       Date:  2006-10       Impact factor: 5.691

3.  An Anti-CD3 Antibody, Teplizumab, in Relatives at Risk for Type 1 Diabetes.

Authors:  Kevan C Herold; Brian N Bundy; S Alice Long; Jeffrey A Bluestone; Linda A DiMeglio; Matthew J Dufort; Stephen E Gitelman; Peter A Gottlieb; Jeffrey P Krischer; Peter S Linsley; Jennifer B Marks; Wayne Moore; Antoinette Moran; Henry Rodriguez; William E Russell; Desmond Schatz; Jay S Skyler; Eva Tsalikian; Diane K Wherrett; Anette-Gabriele Ziegler; Carla J Greenbaum
Journal:  N Engl J Med       Date:  2019-06-09       Impact factor: 91.245

4.  Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.

Authors:  Sean C Bendall; Erin F Simonds; Peng Qiu; El-ad D Amir; Peter O Krutzik; Rachel Finck; Robert V Bruggner; Rachel Melamed; Angelica Trejo; Olga I Ornatsky; Robert S Balderas; Sylvia K Plevritis; Karen Sachs; Dana Pe'er; Scott D Tanner; Garry P Nolan
Journal:  Science       Date:  2011-05-06       Impact factor: 47.728

Review 5.  A mini meta-analysis of studies on CD4+CD25+ T cells in human type 1 diabetes: report of the Immunology of Diabetes Society T Cell Workshop.

Authors:  Timothy I M Tree; Bart O Roep; Mark Peakman
Journal:  Ann N Y Acad Sci       Date:  2006-10       Impact factor: 5.691

Review 6.  Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition).

Authors:  Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Sergio Abrignani; Richard Addo; Mübeccel Akdis; Immanuel Andrä; Francesco Andreata; Francesco Annunziato; Eduardo Arranz; Petra Bacher; Sudipto Bari; Vincenzo Barnaba; Joana Barros-Martins; Dirk Baumjohann; Cristian G Beccaria; David Bernardo; Dominic A Boardman; Jessica Borger; Chotima Böttcher; Leonie Brockmann; Marie Burns; Dirk H Busch; Garth Cameron; Ilenia Cammarata; Antonino Cassotta; Yinshui Chang; Fernando Gabriel Chirdo; Eleni Christakou; Luka Čičin-Šain; Laura Cook; Alexandra J Corbett; Rebecca Cornelis; Lorenzo Cosmi; Martin S Davey; Sara De Biasi; Gabriele De Simone; Genny Del Zotto; Michael Delacher; Francesca Di Rosa; James Di Santo; Andreas Diefenbach; Jun Dong; Thomas Dörner; Regine J Dress; Charles-Antoine Dutertre; Sidonia B G Eckle; Pascale Eede; Maximilien Evrard; Christine S Falk; Markus Feuerer; Simon Fillatreau; Aida Fiz-Lopez; Marie Follo; Gemma A Foulds; Julia Fröbel; Nicola Gagliani; Giovanni Galletti; Anastasia Gangaev; Natalio Garbi; José Antonio Garrote; Jens Geginat; Nicholas A Gherardin; Lara Gibellini; Florent Ginhoux; Dale I Godfrey; Paola Gruarin; Claudia Haftmann; Leo Hansmann; Christopher M Harpur; Adrian C Hayday; Guido Heine; Daniela Carolina Hernández; Martin Herrmann; Oliver Hoelsken; Qing Huang; Samuel Huber; Johanna E Huber; Jochen Huehn; Michael Hundemer; William Y K Hwang; Matteo Iannacone; Sabine M Ivison; Hans-Martin Jäck; Peter K Jani; Baerbel Keller; Nina Kessler; Steven Ketelaars; Laura Knop; Jasmin Knopf; Hui-Fern Koay; Katja Kobow; Katharina Kriegsmann; H Kristyanto; Andreas Krueger; Jenny F Kuehne; Heike Kunze-Schumacher; Pia Kvistborg; Immanuel Kwok; Daniela Latorre; Daniel Lenz; Megan K Levings; Andreia C Lino; Francesco Liotta; Heather M Long; Enrico Lugli; Katherine N MacDonald; Laura Maggi; Mala K Maini; Florian Mair; Calin Manta; Rudolf Armin Manz; Mir-Farzin Mashreghi; Alessio Mazzoni; James McCluskey; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Leticia Monin; Lorenzo Moretta; Gabriele Multhoff; Luis Enrique Muñoz; Miguel Muñoz-Ruiz; Franziska Muscate; Ambra Natalini; Katrin Neumann; Lai Guan Ng; Antonia Niedobitek; Jana Niemz; Larissa Nogueira Almeida; Samuele Notarbartolo; Lennard Ostendorf; Laura J Pallett; Amit A Patel; Gulce Itir Percin; Giovanna Peruzzi; Marcello Pinti; A Graham Pockley; Katharina Pracht; Immo Prinz; Irma Pujol-Autonell; Nadia Pulvirenti; Linda Quatrini; Kylie M Quinn; Helena Radbruch; Hefin Rhys; Maria B Rodrigo; Chiara Romagnani; Carina Saggau; Shimon Sakaguchi; Federica Sallusto; Lieke Sanderink; Inga Sandrock; Christine Schauer; Alexander Scheffold; Hans U Scherer; Matthias Schiemann; Frank A Schildberg; Kilian Schober; Janina Schoen; Wolfgang Schuh; Thomas Schüler; Axel R Schulz; Sebastian Schulz; Julia Schulze; Sonia Simonetti; Jeeshan Singh; Katarzyna M Sitnik; Regina Stark; Sarah Starossom; Christina Stehle; Franziska Szelinski; Leonard Tan; Attila Tarnok; Julia Tornack; Timothy I M Tree; Jasper J P van Beek; Willem van de Veen; Klaas van Gisbergen; Chiara Vasco; Nikita A Verheyden; Anouk von Borstel; Kirsten A Ward-Hartstonge; Klaus Warnatz; Claudia Waskow; Annika Wiedemann; Anneke Wilharm; James Wing; Oliver Wirz; Jens Wittner; Jennie H M Yang; Juhao Yang
Journal:  Eur J Immunol       Date:  2021-12-07       Impact factor: 5.532

Review 7.  Third-Kind Encounters in Biomedicine: Immunology Meets Mathematics and Informatics to Become Quantitative and Predictive.

Authors:  Martin Eberhardt; Xin Lai; Namrata Tomar; Shailendra Gupta; Bernd Schmeck; Alexander Steinkasserer; Gerold Schuler; Julio Vera
Journal:  Methods Mol Biol       Date:  2016

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

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
Journal:  Front Immunol       Date:  2019-10-31       Impact factor: 7.561

Review 9.  Presumption of guilt for T cells in type 1 diabetes: lead culprits or partners in crime depending on age of onset?

Authors:  Alexia Carré; Sarah J Richardson; Etienne Larger; Roberto Mallone
Journal:  Diabetologia       Date:  2020-10-21       Impact factor: 10.122

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  1 in total

1.  Evaluating the Immunopathogenesis of Diabetes After Acute Pancreatitis in the Diabetes RElated to Acute Pancreatitis and Its Mechanisms Study: From the Type 1 Diabetes in Acute Pancreatitis Consortium.

Authors:  Anna Casu; Paul J Grippo; Clive Wasserfall; Zhaoli Sun; Peter S Linsley; Jessica A Hamerman; Brian T Fife; Adam Lacy-Hulbert; Frederico G S Toledo; Phil A Hart; Georgios I Papachristou; Melena D Bellin; Dhiraj Yadav; Maren R Laughlin; Mark O Goodarzi; Cate Speake
Journal:  Pancreas       Date:  2022-07-01       Impact factor: 3.243

  1 in total

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