Evidence mapPaperPMID 37494666Full record

ArticleDiabetes2023

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.

Gabriele Sassi, Giada Licata, Giuliana Ventriglia, Amber Wouters, Pierre Lemaitre, Ruth Seurinck, Alessia Mori, Giuseppina Emanuela Grieco, Samal Bissenova, Darcy Ellis and 7 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 3 countries.

Gabriele SassiClinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium.ORCID 0000-0002-7921-2764
Giada LicataDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Giuliana VentrigliaDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Amber WoutersClinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium.
Pierre LemaitreClinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium.
Ruth SeurinckData Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
Alessia MoriTuscany Centre for Precision Medicine, Siena, Italy.
Giuseppina Emanuela GriecoDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Samal BissenovaClinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium.
Darcy EllisClinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium.
Silvia CaluwaertsPrecigen ActoBio, Zwijnaarde (Ghent), Ghent, Belgium.
Pieter RottiersPrecigen ActoBio, Zwijnaarde (Ghent), Ghent, Belgium.
Niels VandammeData Mining and Modelling for Biomedicine, VIB Center for Inflammation Research, Ghent, Belgium.
Chantal MathieuClinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium.ORCID 0000-0002-6099-2406
Francesco DottaDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.ORCID 0000-0003-4947-7478
Conny GysemansClinical and Experimental Endocrinology, Chrometa, KU Leuven, Leuven, Belgium.
Guido SebastianiDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.ORCID 0000-0003-4374-8564
KU Leuven · BEUniversity of Siena · ITGhent University · BEPrecision for Medicine (United States) · USVIB-UGent Center for Inflammation Research · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Diabetes Mellitus, Type 1Lactococcus lactisMicroRNAsAnimalsBiomarkersGene Expression ProfilingHumansImmunotherapyInterleukin-10MiceMice, Inbred NODProinsulinBiomarkersInterleukin-10MicroRNAsMIRN365 microRNA, humanProinsulin

Identifiers

PMID37494666
PMCPMC10545562
OpenAlexW4385266560

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.