Evidence map›Paper›PMID 32728892›Full record

ArticleDiabetologia2020

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

Silvia Garavelli, Sara Bruzzaniti, Elena Tagliabue, Dario Di Silvestre, Francesco Prattichizzo, Enza Mozzillo, Valentina Fattorusso, Lucia La Sala, Antonio Ceriello, Annibale A Puca and 10 more

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  12. [miRNA Is Involved in the Pathogenesis of Multiple Diseases by Targeting Osteoprotegerin].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Review
  13. Article
  14. Article
  15. miRNAs as Biomarkers in Diabetes: Moving towards Precision Medicine.International journal of molecular sciences · 2022
    Review
  16. Review
  17. Article
  18. An update on epigenetic regulation in autoimmune diseases.Journal of translational autoimmunity · 2022
    Article
  19. Article
  20. Article
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

20 authors at 10 institutions in 1 country.

Silvia GaravelliIRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy.
Sara BruzzanitiInstitute for Endocrinology and Experimental Oncology 'G. Salvatore', C.N.R, via Pansini 5, 80131, Naples, Italy.
Elena TagliabueIRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy.
Dario Di SilvestreInstitute of Biomedical Technologies, C. N. R, Segrate, Milan, Italy.
Francesco PrattichizzoIRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy.
Enza MozzilloCentre of Paediatric Diabetology, Department of Translational Medical Sciences, University of Naples 'Federico II', Naples, Italy.
Valentina FattorussoCentre of Paediatric Diabetology, Department of Translational Medical Sciences, University of Naples 'Federico II', Naples, Italy.
Lucia La SalaIRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy.
Antonio CerielloIRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy.
Annibale A PucaIRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy.
Pierluigi MauriInstitute of Biomedical Technologies, C. N. R, Segrate, Milan, Italy.
Rocky StrolloDepartment of Medicine, Unit of Endocrinology & Diabetes, Università Campus Bio-Medico, Rome, Italy.
Marco MariglianoPaediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy.
Claudio MaffeisPaediatric Diabetes and Metabolic Disorders Unit, University of Verona, Verona, Italy.
Alessandra PetrelliSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Emanuele BosiSan Raffaele Diabetes Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
Adriana FranzeseCentre of Paediatric Diabetology, Department of Translational Medical Sciences, University of Naples 'Federico II', Naples, Italy.
Mario GalganiInstitute for Endocrinology and Experimental Oncology 'G. Salvatore', C.N.R, via Pansini 5, 80131, Naples, Italy. mario.galgani@unina.it.ORCID 0000-0001-8414-1676
Giuseppe MatareseInstitute for Endocrinology and Experimental Oncology 'G. Salvatore', C.N.R, via Pansini 5, 80131, Naples, Italy. giuseppe.matarese@unina.it.ORCID 0000-0001-9429-0616
Paola de CandiaIRCCS MultiMedica, via G. Fantoli 16/15, 20138, Milan, Italy. paola.decandia@multimedica.it.ORCID 0000-0003-4767-446X
MultiMedica · ITUniversity of Naples Federico II · ITFederico II University Hospital · ITInstitute of Biomedical Technologies · ITUniversity of Verona · ITInstitute for Experimental Endocrinology and Oncology · ITIRCCS Ospedale San Raffaele · ITUniversità Campus Bio-Medico · ITUniversity of Salerno · ITVita-Salute San Raffaele University · IT

Funding

Juvenile Diabetes Research Foundation 2-SRA-2018-479-S-B
6 · The paper itself

Abstract

aims/hypothesisWe 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.

methodsPlasma 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.

resultsPlasma 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.

Indexed as

C-PeptideDiabetes ComplicationsDiabetes Mellitus, Type 1HumansMicroRNAsOsteoprotegerinC-PeptideMicroRNAsOsteoprotegerinBiomarkersCardiovascular riskDiabetic complicationsImmunometabolismInsulin secretionmicroRNAOsteoprotegerin

Identifiers

PMID32728892
OpenAlexW3046083407

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.