Evidence map›Paper›PMID 39493050›Full record

ArticleCureus2024

Profiling of MicroRNAs for the Identification of Unique and Common MicroRNAs in Preeclamptic Patients of South India Using Next-Generation Sequencing.

Vinaya Vijayan, Kannan Rajendran, Aparajita D'souza, Y Subhashini, S Tarakeswari, B Ram Reddy, Satish Vemuri

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Article in Cureus, 2024. 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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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Vinaya VijayanDepartment of Physiology, Saveetha Institute of Medical And Technical Sciences (SIMATS), Tiruvallur, IND.
Kannan RajendranDepartment of Internal Medicine, Saveetha Medical College and Research Centre, Kancheepuram, IND.
Aparajita D'souzaDepartment of Obstetrics and Gynaecology, Employee's State Insurance Corporation (ESIC) Medical College, Hyderabad, IND.
Y SubhashiniDepartment of Obstetrics and Gynaecology, Fernandez Hospitals, Hyderabad, IND.
S TarakeswariDepartment of Obstetrics and Gynaecology, Fernandez Hospitals, Hyderabad, IND.
B Ram ReddyDepartment of Physiology, Apollo Institute of Medical Sciences and Research, Hyderabad, IND.
Satish VemuriSunshine Medical Academy for Research and Training (SMART) Laboratory, Sunshine Hospital, Hyderabad, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPreeclampsia (PE) is a serious pregnancy complication with an unclear cause. Recent studies suggest that microRNAs (miRNAs), particularly miR-1, may play a role in controlling the genes associated with this condition. This study aimed to compare the expression of miRNAs in the blood and placental tissues of women with PE to those with normal pregnancies.

methodsWe conducted small RNA sequencing on blood and placental samples from three groups: (a) early-onset preeclampsia (EOPE), (b) late-onset preeclampsia (LOPE), and (c) normal pregnancies. Bioinformatics tools were used to compare the miRNA profiles across these groups. A total of 744 miRNAs were detected in placental samples, while 913 miRNAs were found in blood samples. We further analyzed the target genes using protein-protein interaction (PPI) maps to understand how these miRNAs may influence gene functions.

resultsOur analysis revealed significant differences in miRNA expression between the EOPE, LOPE, and control groups. Eight miRNAs were consistently detected in both blood and placental samples across all groups, while other miRNAs were either specific to PE or certain tissue types. The 492 target genes identified formed dense interaction networks, with several key genes occupying central roles.

conclusionThese findings suggest that altered miRNA expression and the resulting disruption of gene networks may contribute to the development of PE. The distinct differences between EOPE and LOPE indicate that these two subtypes may be driven by different underlying mechanisms. This paves the way for future research to explore new treatments targeting these miRNAs and their associated genes.

Indexed as

bioinformaticsbloodmirnaplacentapreeclampsiasequencing

Identifiers

PMID39493050
PMCPMC11530577

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