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Plasma circulating miR-23~27~24 clusters correlate with the immunometabolic derangement and predict C-peptide loss in children with type 1 diabetes.

Authors :
Garavelli, Silvia
Bruzzaniti, Sara
Tagliabue, Elena
Di Silvestre, Dario
Prattichizzo, Francesco
Mozzillo, Enza
Fattorusso, Valentina
La Sala, Lucia
Ceriello, Antonio
Puca, Annibale A.
Mauri, Pierluigi
Strollo, Rocky
Marigliano, Marco
Maffeis, Claudio
Petrelli, Alessandra
Bosi, Emanuele
Franzese, Adriana
Galgani, Mario
Matarese, Giuseppe
de Candia, Paola
Source :
Diabetologia; Dec2020, Vol. 63 Issue 12, p2699-2712, 14p
Publication Year :
2020

Abstract

Aims/hypothesis: We aimed to analyse the association between plasma circulating microRNAs (miRNAs) and the immunometabolic profile in children with type 1 diabetes and to identify a composite signature of miRNAs/immunometabolic factors able to predict type 1 diabetes progression. Methods: Plasma samples were obtained from children at diagnosis of type 1 diabetes (n = 88) and at 12 (n = 32) and 24 (n = 30) months after disease onset and from healthy control children with similar sex and age distribution (n = 47). We quantified 60 robustly expressed plasma circulating miRNAs by quantitative RT-PCR and nine plasma immunometabolic factors with a recognised role at the interface of metabolic and immune alterations in type 1 diabetes. Based on fasting C-peptide loss over time, children with type 1 diabetes were stratified into the following groups: those who had lost >90% of C-peptide compared with diagnosis level; those who had lost <10% of C-peptide; those showing an intermediate C-peptide loss. To evaluate the modulation of plasma circulating miRNAs during the course of type 1 diabetes, logistic regression models were implemented and the correlation between miRNAs and immunometabolic factors was also assessed. Results were then validated in an independent cohort of children with recent-onset type 1 diabetes (n = 18). The prognostic value of the identified plasma signature was tested by a neural network-based model. Results: Plasma circulating miR-23~27~24 clusters (miR-23a-3p, miR-23b-3p, miR-24-3p, miR-27a-3p and miR-27b-3p) were upmodulated upon type 1 diabetes progression, showed positive correlation with osteoprotegerin (OPG) and were negatively correlated with soluble CD40 ligand, resistin, myeloperoxidase and soluble TNF receptor in children with type 1 diabetes but not in healthy children. The combination of plasma circulating miR-23a-3p, miR-23b-3p, miR-24-3p, miR-27b-3p and OPG, quantified at disease onset, showed a significant capability to predict the decline in insulin secretion 12 months after disease diagnosis in two independent cohorts of children with type 1 diabetes. Conclusions/interpretations: We have pinpointed a novel miR-23a-3p/miR-23b-3p/miR-24-3p/miR-27b-3p/OPG plasma signature that may be developed into a novel blood-based method to better stratify patients with type 1 diabetes and predict C-peptide loss. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0012186X
Volume :
63
Issue :
12
Database :
Complementary Index
Journal :
Diabetologia
Publication Type :
Academic Journal
Accession number :
146833384
Full Text :
https://doi.org/10.1007/s00125-020-05237-x