Evidence map›Paper›PMID 38814453›Full record

ArticleArchives of gynecology and obstetrics2024

Unraveling the role of microRNAs: potential biomarkers for gestational diabetes mellitus revealed through RNA sequencing analysis.

Huizhen Lin, Xiao Chen, Lisui Wang, Tang Zhu, Xiaohui Feng, Xiaomei Liu, Haiying Chen, Si Pan

Abstract read
In one paragraph

Article in Archives of gynecology and obstetrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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.

Huizhen LinDepartment of Clinical Laboratory, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, 351100, China.
Xiao ChenDepartment of Clinical Laboratory, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, 351100, China.
Lisui WangDepartment of Clinical Laboratory, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, 351100, China.
Tang ZhuKey Laboratory of Translational Tumor Medicine in Fujian Province, Putian University, School of Basic Medicine Science, Putian, 351100, Fujian, China.
Xiaohui FengDepartment of Clinical Laboratory, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, 351100, China.
Xiaomei LiuDepartment of Clinical Laboratory, The First Hospital of Putian, Teaching Hospital, Fujian Medical University, Putian, 351100, China.
Haiying ChenKey Laboratory of Translational Tumor Medicine in Fujian Province, Putian University, School of Basic Medicine Science, Putian, 351100, Fujian, China.
Si PanKey Laboratory of Translational Tumor Medicine in Fujian Province, Putian University, School of Basic Medicine Science, Putian, 351100, Fujian, China. plar000@163.com.ORCID 0000-0003-4866-2639

Funding

Research Projects of Putian University 2021056Startup Fund for Advanced Talents of Putian University 2020009
6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) poses significant health risks for both mothers and children, contributing to long-term complications such as type 2 diabetes and cardiovascular disease. This study explores the potential of microRNAs (miRNAs) as biomarkers for GDM by analyzing peripheral blood samples from GDM patients.

methodTen samples, including peripheral blood from 5 GDM patients and 5 controls, were collected to perform the RNA sequencing analysis. Differentially expressed miRNAs were further validated by quantitative real-time polymerase chain reaction.

resultsA total of 2287 miRNAs were identified, 229 of which showed differential expression. Validation by qRT-PCR confirmed significant up-regulation of miR-5193, miR-5003-3p, miR-3127-5p, novel-miR-96, miR-6734-5p, and miR-122-5p, while miR-10395-3p was down-regulated. Bioinformatics analyses revealed the involvement of these miRNAs in pathways associated with herpes simplex virus 1 infection.

conclusionThis study provides insights into the differential expression of miRNAs in GDM patients and their potential roles in disease pathogenesis. It suggests that the differentially expressed miRNAs could serve as potential biomarkers for GDM, shedding light on the complex molecular mechanisms involved.

Indexed as

BiomarkersDiabetes, GestationalMicroRNAsSequence Analysis, RNAAdultCase-Control StudiesComputational BiologyDown-RegulationFemaleGene Expression ProfilingHumansPregnancyReal-Time Polymerase Chain ReactionUp-RegulationBiomarkersMicroRNAsBiomarkersGestational diabetes mellitusMicroRNAsPeripheral bloodRNA sequencing

Identifiers

PMID38814453
PMCPMC11258170

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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.