Evidence map›Paper›PMID 31721085›Full record

ArticleJournal of endocrinological investigation2020

miR-10b and miR-223-3p in serum microvesicles signal progression from prediabetes to type 2 diabetes.

M Parrizas, X Mundet, C Castaño, S Canivell, X Cos, L Brugnara, C Giráldez-García, E Regidor, M Mata-Cases, J Franch-Nadal and 1 more

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In one paragraph

Article in Journal of endocrinological investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  4. Adipose-Derived Extracellular Vesicles and Intercellular Crosstalk With Skeletal Muscle: Implications for Sarcopenic Obesity and Metabolic Dysregulation.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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  12. Research progress of extracellular vesicles in type 2 diabetes and its complications.Diabetic medicine : a journal of the British Diabetic Association · 2022
    Review
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  18. Circulating Nucleic Acid-Based Biomarkers of Type 2 Diabetes.International journal of molecular sciences · 2021
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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

11 authors at 4 institutions in 2 countries.

M Parrizas *Spanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Barcelona, Spain.
X Mundet *redGDPS Foundation, Madrid, Spain.
C CastañoSpanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Barcelona, Spain.
S CanivellDAP-Cat Group, Research Support Unit, University Institute for Research in Primary Care Jordi Gol (IDIAPJGol), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain.
X CosDAP-Cat Group, Research Support Unit, University Institute for Research in Primary Care Jordi Gol (IDIAPJGol), Gran Via de les Corts Catalanes, 587, 08007, Barcelona, Spain.
L BrugnaraSpanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Barcelona, Spain.
C Giráldez-GarcíaredGDPS Foundation, Madrid, Spain.
E RegidorredGDPS Foundation, Madrid, Spain.
M Mata-CasesSpanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Barcelona, Spain.
J Franch-NadalSpanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Barcelona, Spain. josep.franch@gmail.com.
A NovialsSpanish Biomedical Research Center in Diabetes and Associated Metabolic Disorders (CIBERDEM), Barcelona, Spain. anovials@clinic.cat.ORCID http://orcid.org/0000-0003-0465-2949
Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESInstitut Universitari d'Investigació en Atenció Primària Jordi Gol · ESUniversidad Complutense de Madrid · ESUniversitat Autònoma de Barcelona · ES

Funding

CIBERDEM N/AEuropean Foundation for the Study of Diabetes Lilly 2013Novartis Farmacéutica N/A
6 · The paper itself

Abstract

purposeType 2 diabetes frequently remains undiagnosed for years, whereas early detection of affected individuals would facilitate the implementation of timely and cost-effective therapies, hence decreasing morbidity. With the intention of identifying novel diagnostic biomarkers, we characterized the miRNA profile of microvesicles isolated from retroactive serum samples of normoglycemic individuals and two groups of subjects with prediabetes that in the following 4 years either progressed to overt diabetes or remained stable.

methodsWe profiled miRNAs in serum microvesicles of a selected group of control and prediabetic individuals participating in the PREDAPS cohort study. Half of the subjects with prediabetes were diagnosed with diabetes during the 4 years of follow-up, while the glycemic status of the other half remained unchanged.

resultsWe identified two miRNAs, miR-10b and miR-223-3p, which target components of the insulin signaling pathway and whose ratio discriminates between these two subgroups of prediabetic individuals at a stage at which other features, including glycemia, are less proficient at separating them. In global, the profile of miRNAs in microvesicles of prediabetic subjects primed to progress to overt diabetes was more similar to that of diabetic patients than the profile of prediabetic subjects who did not progress.

conclusionWe have identified a miRNA signature in serum microvesicles that can be used as a new screening biomarker to identify subjects with prediabetes at high risk of developing diabetes, hence allowing the implementation of earlier, and probably more effective, therapeutic interventions.

Indexed as

AgedBiomarkersBlood GlucoseCell-Derived MicroparticlesDiabetes Mellitus, Type 2Disease ProgressionFemaleHumansMicroRNAsMiddle AgedPrediabetic StateBiomarkersBlood GlucoseMicroRNAsMIR223, humanMIRN10 microRNA, humanBiomarkerDiagnosisMicroRNAMicrovesiclePrediabetesProgression

Identifiers

PMID31721085
OpenAlexW2983295924

What OpenQuestion 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 OpenQuestion graph.