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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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Figure 2

127-hi cells are equivalently quantified at different research sites.

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127-hi cells are equivalently quantified at different research sites.
Fl...
Flow cytometry data generated by investigators at ITN (A–C), SRDRI (D–F), MCW (G–I), and UQ (J–L) were used to determine whether the frequency of total CD4+ cells (A, D, G, and J), 127-hi cells (B, E, H, and K), and Tregs (C, F, I, and L) is equivalent when quantified by ITN and SDBRI (A–C), SRDRI and SDBRI (D–F), MCW and SDBRI (G–I), and UQ and SDBRI (J–L). The data were generated using PBMCs from patients with T1D. Samples were analyzed at baseline from the 12 patients at ITN (n = 12), 39 at SRDRI (n = 39), 22 at MCW (n = 22), and 11 at UQ (n = 11). PBMCs were labeled for CD3, CD4, CD25, and CD127. Each symbol represents an individual time point for each patient. The relationship between the relative frequency of each cell subset determined at different sites was determined using both Spearman’s correlation (r) and linear regression (R2). Values for r and R2 and P values are shown.

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