Evidence map›Paper›PMID 36361633›Full record

ReviewInternational journal of molecular sciences2022

miRNAs as Biomarkers in Diabetes: Moving towards Precision Medicine.

Maria Alexandra Angelescu, Octavian Andronic, Simona Olimpia Dima, Irinel Popescu, Irit Meivar-Levy, Sarah Ferber, Daniela Lixandru

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 43 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Maria Alexandra AngelescuFaculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.ORCID 0000-0003-4647-3375
Octavian AndronicFaculty of Medicine, University of Medicine and Pharmacy "Carol Davila", 050474 Bucharest, Romania.ORCID 0000-0002-9053-0018
Simona Olimpia DimaCenter of Excelence in Translational Medicine (CEMT), Fundeni Clinical Institute, 022328 Bucharest, Romania.ORCID 0000-0001-5275-8938
Irinel PopescuCenter of Excelence in Translational Medicine (CEMT), Fundeni Clinical Institute, 022328 Bucharest, Romania.
Irit Meivar-LevyAcademy Nicolae Cajal Institute of Medical Scientific Research, Titu Maiorescu University, 040441 Bucharest, Romania.
Sarah FerberAcademy Nicolae Cajal Institute of Medical Scientific Research, Titu Maiorescu University, 040441 Bucharest, Romania.
Daniela LixandruCenter of Excelence in Translational Medicine (CEMT), Fundeni Clinical Institute, 022328 Bucharest, Romania.ORCID 0000-0001-7526-1844
Titu Maiorescu University · ROCarol Davila University of Medicine and Pharmacy · RO

Funding

Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii Dia-Cure P 37 794, POC-A. 1-A.1.1.4-E-2015
6 · The paper itself

Abstract

Diabetes mellitus (DM) is a complex metabolic disease with many specifically related complications. Early diagnosis of this disease could prevent the progression to overt disease and its related complications. There are several limitations to using existing biomarkers, and between 24% and 62% of people with diabetes remain undiagnosed and untreated, suggesting a large gap in current diagnostic practices. Early detection of the percentage of insulin-producing cells preceding loss of function would allow for effective therapeutic interventions that could delay or slow down the onset of diabetes. MicroRNAs (miRNAs) could be used for early diagnosis, as well as for following the progression and the severity of the disease, due to the fact of their pancreatic specific expression and stability in various body fluids. Thus, many studies have focused on the identification and validation of such groups or "signatures of miRNAs" that may prove useful in diagnosing or treating patients. Here, we summarize the findings on miRNAs as biomarkers in diabetes and those associated with direct cellular reprogramming strategies, as well as the relevance of miRNAs that act as a bidirectional switch for cell therapy of damaged pancreatic tissue and the studies that have measured and tracked miRNAs as biomarkers in insulin resistance are addressed.

Indexed as

Diabetes MellitusInsulin ResistanceMicroRNAsBiomarkersHumansPrecision MedicineBiomarkersMicroRNAsbiomarkersinsulin resistancemicroRNAprecision medicine

Identifiers

PMID36361633
PMCPMC9655971
OpenAlexW4307549407

What Socratic holds

Textmetadata
LicenceCC BY
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.