Evidence map›Paper›PMID 38414865›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024

Evaluation of miRNA Expression in Patients with Gestational Diabetes Mellitus: Investigating Diagnostic Potential and Clinical Implications.

Mateusz Kunysz, Marek Cieśla, Dorota Darmochwał-Kolarz

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 10 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

3 authors at 1 institution in 1 country.

Mateusz KunyszDepartment of Obstetrics & Gynecology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, Rzeszow, 35-959, Poland.ORCID 0000-0002-2947-3675
Marek CieślaCollege of Medical Sciences, University of Rzeszow, Rzeszow, 35-959, Poland.
Dorota Darmochwał-KolarzDepartment of Obstetrics & Gynecology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, Rzeszow, 35-959, Poland.
University of Rzeszów · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Gestational diabetes mellitus (GDM) is common pregnancy complication (8%), characterized by hyperglycemia resulting from pathological homeostatic mechanisms. There's a concerning trend of increasing GDM prevalence. New markers, particularly epigenetic ones, are sought for early detection and enhanced care. miRNA are small non-coding RNA molecules. The main goal was to investigate the potential role of miRNA (miR-16-5p, miR-222-3p, miR-21-5p) in GDM and their association with clinical features. Patients and Methods: The study included 72 pregnant patients, with 42 having GDM and 30 in the control group. miRNA expression was measured using ELISA. Results: There were no significant differences in miR-222-3p expression between GDM patients and the control group. The GDM group exhibited a positive correlation between miR-16-5p expression and miR-21-5p expression as well as between miR-16-5p expression and insulin resistance. In the GDM group, a positive correlation was observed between miR-21-5p expression and fasting glucose levels. Conclusion: Results do not confirm the role of miR-222-3p in GDM pathogenesis or as a diagnostic marker. Additionally, a role for miR-16-5p in GDM pathogenesis was observed. Furthermore, a potential role for miR-21-5p in monitoring GDM treatment is indicated.

Indexed as

epigeneticsgestational diabetes mellitusmiR-16-5pmiR-21-5pmiR-222-3pmiRNA

Identifiers

PMID38414865
PMCPMC10898488
OpenAlexW4392033299

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.