Evidence map›Paper›PMID 40894930›Full record

ArticleFrontiers in cell and developmental biology2025

Differential expression profiles and bioinformatics analysis of microRNAs in brown adipose tissue dysfunction induced by chronic intermittent hypoxia in obstructive sleep apnea.

Meilin Ji, Yaopeng Guo, Jinjie Zhang, Shu Lin, Liangyi Li, Qingshi Chen

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In one paragraph

Article in Frontiers in cell and developmental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Meilin Ji *The Second Clinical Medical College, Fujian Medical University, Quanzhou, China.
Yaopeng Guo *Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Jinjie ZhangThe Second Clinical Medical College, Fujian Medical University, Quanzhou, China.
Shu LinThe Second Clinical Medical College, Fujian Medical University, Quanzhou, China.
Liangyi LiDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Qingshi ChenDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obstructive sleep apnea (OSA) is a sleep-related respiratory disorder. Although recent studies have shown that OSA may be an alterable risk factor for metabolic syndrome (MS), the precise mechanism remains unknown. This study was designed with the purpose of identifying differentially expressed microRNAs (DEmiRs) in OSA-induced brown adipose tissue (BAT) injury. In this study, mouse models of chronic intermittent hypoxia (CIH)-related BAT injury were established using APOE mice. The microRNAs (miRNAs) expression profiles of the CIH-caused BAT injury were analyzed by the miRNA sequencing technology. The miRNA-seq data were analyzed using Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. An analysis of real-time quantitative PCR (RT-qPCR) confirmed the presence of several typical miRNAs. Ultimately, we constructed a network to illustrate the correlation between the miRNAs and target genes. In the CIH-induced BAT damage mouse models, 7 miRNAs experienced an upregulation, and 16 miRNAs underwent a downregulation. Six DEmiRs were confirmed using RT-qPCR. Additionally, GO and KEGG analyses were adopted to annotate the potential biological role of miRNAs. As a final step, we construct a miRNA-mRNA network for predicting miRNAs target genes. In conclusion, we first discovered that OSA-induced BAT dysfunction is associated with abnormal miRNA expression. This study exhibited a novel understanding of the potential molecular mechanism of OSA-related MS.

Indexed as

bioinformatic analysisbrown adipose tissuemetabolic syndromemicroRNAobstructive sleep apnea

Identifiers

PMID40894930
PMCPMC12395453

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