Evidence map›Paper›PMID 32664305›Full record

ArticleJournal of clinical medicine2020

Circulating miRNAs as a Predictive Biomarker of the Progression from Prediabetes to Diabetes: Outcomes of a 5-Year Prospective Observational Study.

Iwona Sidorkiewicz, Magdalena Niemira, Katarzyna Maliszewska, Anna Erol, Agnieszka Bielska, Anna Szalkowska, Edyta Adamska-Patruno, Lukasz Szczerbinski, Maria Gorska, Adam Kretowski

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
2.3field-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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Observational
  7. Role of microRNA in Diabetic Osteoporosis.Molecular biotechnology · 2025
    Review
  8. Article
  9. Review
  10. Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes.International journal of molecular sciences · 2025
    Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
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  18. Article
  19. Observational
  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

10 authors at 1 institution in 1 country.

Iwona SidorkiewiczClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0003-0254-3095
Magdalena NiemiraClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-0701-4961
Katarzyna MaliszewskaDepartment of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0001-5721-2571
Anna ErolClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-9932-5176
Agnieszka BielskaClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.
Anna SzalkowskaClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.
Edyta Adamska-PatrunoClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-8805-0744
Lukasz SzczerbinskiClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-6201-0605
Maria GorskaDepartment of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, 15-276 Bialystok, Poland.
Adam KretowskiClinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland.ORCID 0000-0002-4522-4978
Medical University of Białystok · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to a global increase in the prevalence of type 2 diabetes mellitus (T2DM), there is an urgent need for early identification of prediabetes, as these people have the highest risk of developing diabetes. Circulating miRNAs have shown potential as progression biomarkers in other diseases. This study aimed to conduct a baseline comparison of serum-circulating miRNAs in prediabetic individuals, with the distinction between those who later progressed to T2DM and those who did not. The expression levels of 798 miRNAs using NanoString technology were examined. Spearman correlation, receiver operating characteristic (ROC) curve analysis, and logistic regression modeling were performed. Gene ontology (GO) and canonical pathway analysis were used to explore the biological functions of the miRNA target genes. The study revealed that three miRNAs were upregulated in the serum samples of patients who later progressed to T2DM. Pathway analysis showed that the miRNA target genes were mainly significantly enriched in neuronal NO synthase (nNOS) signaling in neurons, amyloid processing, and hepatic cholestasis. ROC analysis demonstrated that miR-491-5p, miR-1307-3p, and miR-298 can be introduced as a diagnostic tool for the prediction of T2DM (area under the curve (AUC) = 94.0%, 88.0%, and 84.0%, respectively). Validation by real-time quantitative polymerase chain reaction (qRT-PCR) confirmed our findings. The results suggest that circulating miRNAs can potentially be used as predictive biomarkers of T2DM in prediabetic patients.

Indexed as

biomarkerdiabetesmiRNAprediabetesserum profiling

Identifiers

PMID32664305
PMCPMC7408684
OpenAlexW3042099854

What OpenQuestion holds

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LicenceCC BY
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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.