Evidence map›Paper›PMID 27866223›Full record

ArticleDiabetologia2017

Circulating microRNA levels predict residual beta cell function and glycaemic control in children with type 1 diabetes mellitus.

Nasim Samandari, Aashiq H Mirza, Lotte B Nielsen, Simranjeet Kaur, Philip Hougaard, Siri Fredheim, Henrik B Mortensen, Flemming Pociot

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
10.4field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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  20. Micro-RNA Implications in Type-1 Diabetes Mellitus: A Review of Literature.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

8 authors at 2 institutions in 1 country.

Nasim SamandariCopenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev and Gentofte Hospitals, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark.
Aashiq H MirzaCopenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev and Gentofte Hospitals, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark.
Lotte B NielsenCopenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev and Gentofte Hospitals, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark.
Simranjeet KaurCopenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev and Gentofte Hospitals, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark.
Philip HougaardDepartment of Statistics, University of Southern Denmark, Odense, Denmark.
Siri FredheimCopenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev and Gentofte Hospitals, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark.
Henrik B MortensenCopenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev and Gentofte Hospitals, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark.
Flemming PociotCopenhagen Diabetes Research Center (CPH-DIRECT), Department of Paediatrics, Herlev and Gentofte Hospitals, University of Copenhagen, Herlev Ringvej 75, 2730, Herlev, Denmark. flemming.pociot.01@regionh.dk.ORCID 0000-0003-3274-5448
University of Copenhagen · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisWe aimed to identify circulating microRNA (miRNA) that predicts clinical progression in a cohort of 123 children with new-onset type 1 diabetes mellitus.

methodsPlasma samples were prospectively obtained at 1, 3, 6, 12 and 60 months after diagnosis from a subset of 40 children from the Danish Remission Phase Cohort, and profiled for miRNAs. At the same time points, meal-stimulated C-peptide and HbA

resultsIn the discovery analysis, six miRNAs (hsa-miR-24-3p, hsa-miR-146a-5p, hsa-miR-194-5p, hsa-miR-197-3p, hsa-miR-301a-3p and hsa-miR-375) at 3 months correlated with residual beta cell function 6-12 months after diagnosis. Stimulated C-peptide at 12 months was predicted by hsa-miR-197-3p at 3 months (p = 0.034). A doubling of this miRNA level corresponded to a sixfold higher stimulated C-peptide level. In addition, a doubling of hsa-miR-24-3p and hsa-miR-146a-5p levels at 3 months corresponded to a 4.2% (p < 0.014) and 3.5% (p < 0.022) lower IDAA CONCLUSIONS/

interpretationThe miRNA hsa-miR-197-3p at 3 months was the strongest predictor of residual beta cell function 1 year after diagnosis in children with type 1 diabetes mellitus.

Indexed as

Blood GlucoseChild, PreschoolDiabetes Mellitus, Type 1FemaleHumansInfantInfant, NewbornInsulin-Secreting CellsMaleMicroRNAsProspective StudiesBlood GlucoseMicroRNAsMIRN146 microRNA, humanMIRN194 microRNA, humanMIRN24 microRNA, humanMIRN375 microRNA, humanBiomarkersChildrenmiRNAResidual beta cell function

Identifiers

PMID27866223
OpenAlexW2550242991

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.