A Plasma miR-193b-365 Signature Combined With Age and Glycemic Status Predicts Response to Lactococcus lactis–Based Antigen-Specific Immunotherapy in New-Onset Type 1 Diabetes

Author:

Sassi Gabriele1ORCID,Licata Giada23,Ventriglia Giuliana23,Wouters Amber1,Lemaitre Pierre1,Seurinck Ruth45,Mori Alessia6,Grieco Giuseppina Emanuela23,Bissenova Samal1,Ellis Darcy1,Caluwaerts Silvia7,Rottiers Pieter7,Vandamme Niels48,Mathieu Chantal1ORCID,Dotta Francesco236ORCID,Gysemans Conny1,Sebastiani Guido23ORCID

Affiliation:

1. 1Clinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium

2. 2Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy

3. 3Fondazione Umberto Di Mario ONLUS, Toscana Life Science, Siena, Italy

4. 4Data Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium

5. 5Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Ghent, Belgium

6. 6Tuscany Centre for Precision Medicine, Siena, Italy

7. 7Precigen ActoBio, Zwijnaarde (Ghent), Ghent, Belgium

8. 8VIB Single Cell Core, Leuven–Ghent, Ghent, Belgium

Abstract

Immunomodulation combined with antigen therapy holds great promise to arrest autoimmune type 1 diabetes, but clinical translation is hampered by a lack of prognostic biomarkers. Low-dose anti-CD3 plus Lactococcus lactis bacteria secreting proinsulin and IL-10 reversed new-onset disease in nonobese diabetic (NOD) mice, yet some mice were resistant to the therapy. Using miRNA profiling, six miRNAs (i.e., miR-34a-5p, miR-125a-3p, miR-193b-3p, miR-328, miR-365–3p, and miR-671–3p) were identified as differentially expressed in plasma of responder versus nonresponder mice before study entry. After validation and stratification in an independent cohort, plasma miR-193b-3p and miR-365–3p, combined with age and glycemic status at study entry, had the best power to predict, with high sensitivity and specificity, poor response to the therapy. These miRNAs were highly abundant in pancreas-infiltrating neutrophils and basophils with a proinflammatory and activated phenotype. Here, a set of miRNAs and disease-associated parameters are presented as a predictive signature for the L. lactis–based immunotherapy outcome in new-onset type 1 diabetes, hence allowing targeted recruitment of trial participants and accelerated trial execution. Article Highlights Low-dose anti-CD3 combined with oral gavage of genetically modified Lactococcus lactis bacteria secreting human proinsulin and IL-10 holds great promise to arrest autoimmune type 1 diabetes, but the absence of biomarkers predicting therapeutic success hampers clinical translation. A set of cell-free circulation miRNAs together with age and glycemia at baseline predicts a poor response after L. lactis–based immunotherapy in nonobese mice with new-onset diabetes. Pancreas-infiltrating neutrophils and basophils are identified as potential cellular sources of discovered miRNAs. The prognostic signature could guide targeted recruitment of patients with newly diagnosed type 1 diabetes in clinical trials with the L. lactis–based immunotherapy.

Funder

KU Leuven

Research Foundation Flanders

Hippo & Friends type 1 diabetes and Carpe Diem

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3