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CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes

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 rev...

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Autores principales: Narsale, Aditi, Lam, Breanna, Moya, Rosa, Lu, TingTing, Mandelli, Alessandra, Gotuzzo, Irene, Pessina, Benedetta, Giamporcaro, Gianmaria, Geoffrey, Rhonda, Buchanan, Kerry, Harris, Mark, Bergot, Anne-Sophie, Thomas, Ranjeny, Hessner, Martin J., Battaglia, Manuela, Serti, Elisavet, Davies, Joanna D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934872/
https://www.ncbi.nlm.nih.gov/pubmed/33301420
http://dx.doi.org/10.1172/jci.insight.136114
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author Narsale, Aditi
Lam, Breanna
Moya, Rosa
Lu, TingTing
Mandelli, Alessandra
Gotuzzo, Irene
Pessina, Benedetta
Giamporcaro, Gianmaria
Geoffrey, Rhonda
Buchanan, Kerry
Harris, Mark
Bergot, Anne-Sophie
Thomas, Ranjeny
Hessner, Martin J.
Battaglia, Manuela
Serti, Elisavet
Davies, Joanna D.
author_facet Narsale, Aditi
Lam, Breanna
Moya, Rosa
Lu, TingTing
Mandelli, Alessandra
Gotuzzo, Irene
Pessina, Benedetta
Giamporcaro, Gianmaria
Geoffrey, Rhonda
Buchanan, Kerry
Harris, Mark
Bergot, Anne-Sophie
Thomas, Ranjeny
Hessner, Martin J.
Battaglia, Manuela
Serti, Elisavet
Davies, Joanna D.
author_sort Narsale, Aditi
collection PubMed
description 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(+)CD127(hi) (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.
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spelling pubmed-79348722021-03-09 CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes Narsale, Aditi Lam, Breanna Moya, Rosa Lu, TingTing Mandelli, Alessandra Gotuzzo, Irene Pessina, Benedetta Giamporcaro, Gianmaria Geoffrey, Rhonda Buchanan, Kerry Harris, Mark Bergot, Anne-Sophie Thomas, Ranjeny Hessner, Martin J. Battaglia, Manuela Serti, Elisavet Davies, Joanna D. JCI Insight Research Article 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(+)CD127(hi) (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. American Society for Clinical Investigation 2021-01-25 /pmc/articles/PMC7934872/ /pubmed/33301420 http://dx.doi.org/10.1172/jci.insight.136114 Text en © 2021 Narsale et al. http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Narsale, Aditi
Lam, Breanna
Moya, Rosa
Lu, TingTing
Mandelli, Alessandra
Gotuzzo, Irene
Pessina, Benedetta
Giamporcaro, Gianmaria
Geoffrey, Rhonda
Buchanan, Kerry
Harris, Mark
Bergot, Anne-Sophie
Thomas, Ranjeny
Hessner, Martin J.
Battaglia, Manuela
Serti, Elisavet
Davies, Joanna D.
CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes
title CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes
title_full CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes
title_fullStr CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes
title_full_unstemmed CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes
title_short CD4(+)CD25(+)CD127(hi) cell frequency predicts disease progression in type 1 diabetes
title_sort cd4(+)cd25(+)cd127(hi) cell frequency predicts disease progression in type 1 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7934872/
https://www.ncbi.nlm.nih.gov/pubmed/33301420
http://dx.doi.org/10.1172/jci.insight.136114
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