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CD4+CD25+CD127hi cell frequency predicts disease progression in type 1 diabetes
Aditi Narsale, … , Elisavet Serti, Joanna D. Davies
Aditi Narsale, … , Elisavet Serti, Joanna D. Davies
Published December 10, 2020
Citation Information: JCI Insight. 2021;6(2):e136114. https://doi.org/10.1172/jci.insight.136114.
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Research Article Immunology

CD4+CD25+CD127hi cell frequency predicts disease progression in type 1 diabetes

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Abstract

Transient partial remission, a period of low insulin requirement experienced by most patients soon after diagnosis, has been associated with mechanisms of immune regulation. A better understanding of such natural mechanisms of immune regulation might identify new targets for immunotherapies that reverse type 1 diabetes (T1D). In this study, using Cox model multivariate analysis, we validated our previous findings that patients with the highest frequency of CD4+CD25+CD127hi (127-hi) cells at diagnosis experience the longest partial remission, and we showed that the 127-hi cell population is a mix of Th1- and Th2-type cells, with a significant bias toward antiinflammatory Th2-type cells. In addition, we extended these findings to show that patients with the highest frequency of 127-hi cells at diagnosis were significantly more likely to maintain β cell function. Moreover, in patients treated with alefacept in the T1DAL clinical trial, the probability of responding favorably to the antiinflammatory drug was significantly higher in those with a higher frequency of 127-hi cells at diagnosis than those with a lower 127-hi cell frequency. These data are consistent with the hypothesis that 127-hi cells maintain an antiinflammatory environment that is permissive for partial remission, β cell survival, and response to antiinflammatory immunotherapy.

Authors

Aditi Narsale, Breanna Lam, Rosa Moya, TingTing Lu, Alessandra Mandelli, Irene Gotuzzo, Benedetta Pessina, Gianmaria Giamporcaro, Rhonda Geoffrey, Kerry Buchanan, Mark Harris, Anne-Sophie Bergot, Ranjeny Thomas, Martin J. Hessner, Manuela Battaglia, Elisavet Serti, Joanna D. Davies

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