Evidence map›Paper›PMID 38054996›Full record

ArticleHuman genetics2024

Plasma-derived exosomal miRNA profiles reveal potential epigenetic pathogenesis of premature ovarian failure.

Jiaqiong Lin, Zhihong Wu, Yingchun Zheng, Zongrui Shen, Zhongzhi Gan, Shunfei Ma, Yanhui Liu, Fu Xiong

Abstract read
PubMed Publisher
In one paragraph

Article in Human genetics, 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
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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 at 4 institutions in 1 country.

Jiaqiong LinDongguan Maternal and Child Health Care Hospital, Postdoctoral Innovation Practice Base of Southern Medical University, Dongguan, China.
Zhihong WuShenzhen Hospital of Southern Medical University, Shenzhen, Guangdong, China.
Yingchun ZhengDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Zongrui ShenDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Zhongzhi GanDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Shunfei MaDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Yanhui LiuDepartment of Reproductive Medicine, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China. liuliang71215@163.com.
Fu XiongDepartment of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China. xiongfu@smu.edu.cn.
Southern Medical University · CNDongguan People’s Hospital · CNShenzhen Third People’s Hospital · CNSouthern Medical University Shenzhen Hospital · CN

Funding

Foshan Science and Technology project 2020001003953Guangdong Basic and Applied Basic Research Foundation 2020B1515120009Guangdong Basic and Applied Basic Research Foundation 2022A1515012621Guangdong Basic and Applied Basic Research Foundation 2022A1515111203National Key S&T Special Projects 2021YFC100530National Natural Science Foundation of China 32170617
6 · The paper itself

Abstract

The role of plasma-derived exosomal miRNA in premature ovarian failure (POF) remains unclear. This study aimed to investigate the epigenetic pathogenesis of POF through exosomal miRNA sequencing. Exosomes were isolated and characterized from six POF patients and four healthy individuals using nanoparticle tracking analysis, transmission electron microscopy and western blot analysis. Exosomal miRNA sequencing was performed to identify differentially expressed miRNAs with |fold change| greater than 1.5 and p value less than 0.05. Bioinformatics analysis in GSE39501 dataset and our sequencing data was conducted to investigate underlying mechanisms of POF. The functional role of hsa-miR-19b-3p was assessed using CCK8, western blot, flow cytometry and fluorescence staining. The regulatory effect of hsa-miR-19b-3p on BMPR2 was investigated through miRNA transfection, qPCR analysis, and luciferase reporter assay. Statistical significance was determined using t-tests and one-way ANOVA (p < 0.05). Exosomal miRNA sequencing revealed 18 dysregulated miRNAs in POF patients compared to healthy controls. Functional enrichment analysis demonstrated their involvement in cell growth, oocyte meiosis and PI3K-Akt signaling pathways. Moreover, the constructed miRNA-mRNA network unveiled potential regulatory mechanisms underlying POF, particularly implicating hsa-miR-19b-3p in the regulation of BMPR2. In vitro assays conducted on KGN cells confirmed that hsa-miR-19b-3p promoted apoptosis, as evidenced by reduced cell viability, decayed mitochondrial membrane potential and increased apoptotic rate, thereby supporting its role in POF. Notably, hsa-miR-19b-3p was found to significantly downregulate BMPR2 expression via targeting its 3'UTR, while co-expression analysis revealed strong associations between BMPR2 and POF-related processes. This study sheds light on the epigenetic pathogenesis of POF by investigating exosomal miRNA profiles. Particularly, hsa-miR-19b-3p emerged as a potential regulator of BMPR2 and demonstrated its functional significance in POF through modulation of apoptosis.

Indexed as

Epigenesis, GeneticExosomesMicroRNAsPrimary Ovarian InsufficiencyAdultApoptosisBone Morphogenetic Protein Receptors, Type IICell ProliferationComputational BiologyFemaleGene Expression ProfilingGene Regulatory NetworksHumansSignal TransductionBMPR2 protein, humanBone Morphogenetic Protein Receptors, Type IIMicroRNAsMIRN19A microRNA, human

Identifiers

PMID38054996
OpenAlexW4389397325

What OpenQuestion holds

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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.