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Follicular helper T cell profiles predict response to costimulation blockade in type 1 diabetes

Nat Immunol. 2020 Oct;21(10):1244-1255. doi: 10.1038/s41590-020-0744-z. | PubMed

Natalie M Edner1, #, Frank Heuts1, #, Niclas Thomas1, Chun Jing Wang1, Lina Petersone1, Rupert Kenefeck1, Alexandros Kogimtzis1, Vitalijs Ovcinnikovs1, Ellen M Ross1, Elisavet Ntavli1, Yassin Elfaki1, Martin Eichmann2, Roman Baptista2, Philip Ambery3, Lutz Jermutus4, Mark Peakman2, Miranda Rosenthal1, Lucy S K Walker5

  1. Institute of Immunity & Transplantation, University College London Division of Infection & Immunity, Royal Free Campus, London, UK.
  2. Department of Immunobiology, King's College London, London, UK.
  3. Late-stage Development, Cardiovascular, Renal and Metabolism , BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
  4. Research and Early Development, Cardiovascular, Renal and Metabolism , BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK.
  5. Institute of Immunity & Transplantation, University College London Division of Infection & Immunity, Royal Free Campus, London, UK. lucy.walker@ucl.ac.uk.

#Contributed equally

Abstract

Follicular helper T (TFH) cells are implicated in type 1 diabetes (T1D), and their development has been linked to CD28 costimulation. We tested whether TFH cells were decreased by costimulation blockade using the CTLA-4-immunoglobulin (Ig) fusion protein (abatacept) in a mouse model of diabetes and in individuals with new-onset T1D. Unbiased bioinformatics analysis identified that inducible costimulatory molecule (ICOS)+ TFH cells and other ICOS+ populations, including peripheral helper T cells, were highly sensitive to costimulation blockade. We used pretreatment TFH profiles to derive a model that could predict clinical response to abatacept in individuals with T1D. Using two independent approaches, we demonstrated that higher frequencies of ICOS+ TFH cells at baseline were associated with a poor clinical response following abatacept administration. Therefore, TFH analysis may represent a new stratification tool, permitting the identification of individuals most likely to benefit from costimulation blockade.

Presented By Natalie Edner | ORCID iD