Evidence mapPaperPMID 40236293Full record

ArticleBiochemistry and biophysics reports2025

Elevated expression of microRNA-155, microRNA-383, and microRNA-9 in Iranian patients with polycystic ovary syndrome.

Maryam Faraji, Kambiz Roshanaei, Hamed Afkhami, Nasrin Heidarieh

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

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Maryam FarajiDepartment of Biology, Qo.C., Islamic Azad University, Qom, Iran.
Kambiz RoshanaeiDepartment of Biology, Qo.C., Islamic Azad University, Qom, Iran.
Hamed AfkhamiCellular and Molecular Research Center, Qom University of Medical Sciences, Qom, Iran.
Nasrin HeidariehDepartment of Biology, Qo.C., Islamic Azad University, Qom, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Polycystic ovary syndrome (PCOS) is a complex endocrine disorder with both genetic and environmental components. Recent studies have highlighted the potential role of microRNAs (miRNAs) and single nucleotide polymorphisms (SNPs) in its pathogenesis. This study aimed to investigate the association of three SNPs (rs2252673, rs2272046, and rs1894116) in the Methods: We included 100 PCOS patients and 100 healthy controls. DNA and RNA were extracted from blood samples. SNP genotyping was performed using tetra-primer ARMS-PCR, while miRNA expression levels were quantified using quantitative reverse transcription PCR (qRT-PCR). Logistic regression and ANOVA tests were used for statistical analysis, and Pearson's correlation test (PcT) was applied to assess relationships between miRNA expression profiles. Results: No significant associations were observed between the investigated SNPs (rs2252673, rs2272046, and rs1894116) and PCOS risk. However, logistic regression analysis revealed a significant difference for rs1894116 under dominant (P = 0.045) and recessive (P = 0.001) models. Notably, the expression levels of miR-155, miR-383, and miR-9 were significantly upregulated in PCOS patients compared to controls, with fold changes of 13.5, 4.13, and 10.7, respectively (P < 0.05). Limitations: This study has several limitations, including the relatively small sample size (n = 100 per group) and the ethnic-specific nature of the population studied, which may limit generalizability to other populations. Conclusion: Our findings suggest that miR-155, miR-383, and miR-9 are significantly upregulated in Iranian PCOS patients, highlighting their potential as biomarkers or therapeutic targets. However, no significant associations were found between the investigated SNPs and PCOS risk. Future studies with larger, multi-ethnic cohorts are warranted to validate these findings and explore the molecular mechanisms underlying the roles of these miRNAs in PCOS pathophysiology.

Indexed as

BiomarkersMicroRNAs (miRNA)miR-155miR-383miR-9Polycystic ovary syndrome (PCOS)Single nucleotide polymorphisms (SNPs)

Identifiers

PMID40236293
PMCPMC11999182

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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 Socratic graph.