Evidence map›Paper›PMID 41417751›Full record

ArticlePloS one2025

Potential association of certain microRNA gene polymorphisms with recurrent pregnancy loss susceptibility in Saudi women.

Aya Rabaa, Afrah Alkuriji, Aishah Kabbi, Samiah Almalki, Zainab Almasawi, Maha Daghestani, Hana Hakami, Jawaher Alzahrani

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Aya RabaaDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Afrah AlkurijiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Aishah KabbiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Samiah AlmalkiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Zainab AlmasawiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Maha DaghestaniDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Hana HakamiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Jawaher AlzahraniDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0009-0006-1436-8377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA (miRNA) polymorphisms are increasingly recognized as important regulators of reproductive outcomes, but their role in recurrent pregnancy loss (RPL) is still unexplored in specific populations. This case control study investigated six miRNA polymorphisms (miR-10-A > T, miR-125-G > A, miR-146a-C > G, miR-149-T > C, miR-323b-C > T, miR-499-A > G) in 50 Saudi women with idiopathic (≥ 2 losses) and 50 matched controls (≥ 1 live birth, no loss history) using PCR Sanger sequencing. Significant associations were found for heterozygous genotypes of miR-146a-C > G (OR=2.29, 95% Cl:1.02-5.18, *p* = 0.046) and miR-149-T > C (OR=2.67, 95% Cl:1.08-6.61, *p* = 0.034) with higher prevalence in RPL patients versus controls, while other polymorphisms showed no significant association (*p* > 0.05). These results suggest miR-146a and miR-149 can contribute to RPL susceptibility in Saudi women, highlighting their potential as population-specific genetic biomarkers and underscoring the need for further research into miRNA-mediated pregnancy maintenance mechanisms.

Indexed as

Abortion, HabitualGenetic Predisposition to DiseaseMicroRNAsPolymorphism, Single NucleotideAdultCase-Control StudiesFemaleGenetic Association StudiesGenotypeHumansPregnancySaudi ArabiaMicroRNAs

Identifiers

PMID41417751
PMCPMC12716758

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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.