Evidence map›Paper›PMID 39980971›Full record

ArticleBiotechnology notes (Amsterdam, Netherlands)2025

Integrative analysis of candidate MicroRNAs and gene targets for OSA management using in silico and in-vitro approach.

Gaganjyot Kaur Bakshi, Sartaj Khurana, Shambhavee Srivastav, Rohit Kumar, Mukesh Chourasia, Sudeep Bose

Abstract read
In one paragraph

Article in Biotechnology notes (Amsterdam, Netherlands), 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Gaganjyot Kaur BakshiAmity Institute of Biotechnology, Amity University Noida, Uttar Pradesh, India.
Sartaj KhuranaAmity Institute of Biotechnology, Amity University Noida, Uttar Pradesh, India.
Shambhavee SrivastavAmity Institute of Biotechnology, Amity University Noida, Uttar Pradesh, India.
Rohit KumarDepartment of Pulmonary and Critical Care Medicine, Safdarjung Hospital, Delhi, India.
Mukesh ChourasiaAmity Institute of Biotechnology, Amity University Noida, Uttar Pradesh, India.
Sudeep BoseAmity Institute of Biotechnology, Amity University Noida, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) have been implicated in the pathogenesis of human diseases including sleep disorders. The aim of this study is to address the involvement of miRNAs (miR-21 and miR-29) in the pathophysiology of obstructive sleep apnea (OSA). In this study we have done integrated analysis of miRNAs with their potential gene targets as a strategy for management of OSA. Methods: miRNA expression levels were quantified in healthy control group and obese vs. Non-obese OSA subjects by Quantitative real-time PCR. In-silico analysis of interplay of miRNAs with potential gene targets was done using Schrödinger Release 2023-1. Results: The real time expression analysis revealed a differential expression pattern in miRNAs indicating down-regulation of miR-21 in obese OSA while miR-29 showed upregulation as compared to non-obese OSA and healthy subjects with p values of ≤0.01 and <0.0001respectively. A trend was observed where target genes TGFBR2, NAMPT, and NPPB were significantly increased with p-value of ≤0.0001 and TGFBR3 and INSIG2 showed decreasing trend with p-value of ≤0.0001 between obese and non-obese OSA respectively. MD simulation analysis provided valuable information regarding the stability, flexibility, compactness and solvent exposure of the complexes over time. Conclusion: miR-21 and miR-29 possesses differential expressions in obese OSA subject and exihbits strong molecular interactions with potential target genes, such as TGFBR2, NPPB, NAMPT and INSIG2. Identifying the miRNAs, genes and pathways associated with OSA can help to expand our understanding of the risk factors for the disease as well as provide new avenues for potential treatment.

Indexed as

Gene targetsIn-silicomiRNAOSA

Identifiers

PMID39980971
PMCPMC11840522

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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.