lncRNA-miRNA-mRNA Network Analysis and Downstream Proteins Reveal the Mechanism of Bushen Huatan Prescription in the Treatment of Polycystic Ovary Syndrome.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Wenting Xu, Lingli Shi, Xiuqin Tang, Rong Wang, Lili Zhu, Lijuan Cui, Lihong Wang
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引用次数: 0

Abstract

Introduction: Polycystic Ovary Syndrome (PCOS) is a prevalent reproductive endocrine disorder. The underlying mechanisms, particularly the role of the long non-coding RNA (lncRNA)- miRNA-mRNA network, remain incompletely understood. The Bushen Huatan (BSHT) prescription shows clinical efficacy in treating PCOS, but its active components and their regulatory effects on this network are largely unknown.

Method: Active components of the BSHT extract were analyzed using UHPLC-HR-MS. RNA and lncRNA sequencing were performed to identify differentially expressed lncRNAs, miRNAs, and mRNAs in PCOS rat models. A potential competing endogenous RNA (ceRNA) network was constructed and subsequently validated by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, and qRT-PCR. Finally, Western blot analysis was used to evaluate the effect of BSHT on the expression of downstream insulin receptor proteins and signaling pathway proteins.

Results: UHPLC-HR-MS identified 503 active ingredients in the BSHT extract. Compared to controls, PCOS rats exhibited 1181 differentially expressed lncRNAs and 2696 mRNAs. BSHT treatment significantly altered the expression of 336 lncRNAs and 678 mRNAs, and qRT-PCR showed that lncRNA XLOC-018280 expression was significantly downregulated by approximately 4-fold (P<0.01) in the MC group compared to the NC group, and this was significantly reversed by BSHT treatment. Western blot showed that INSR, IRS-1, IRS-2, PI3K, and p-AKT were differentially expressed.

Conclusion: The Bushen Huatan prescription alleviates the endocrine and metabolic disorders of PCOS by regulating the lncRNA-miRNA-mRNA network and affecting the expression of downstream proteins INSR, IRS-1, IRS-2, PI3K, and p-AKT.

补肾化痰方治疗多囊卵巢综合征的lncRNA-miRNA-mRNA网络分析及下游蛋白机制
简介:多囊卵巢综合征(PCOS)是一种常见的生殖内分泌疾病。潜在的机制,特别是长链非编码RNA (lncRNA)- miRNA-mRNA网络的作用,仍然不完全清楚。补肾化痰方治疗多囊卵巢综合征的临床疗效较好,但其有效成分及其对多囊卵巢网络的调控作用尚不清楚。方法:采用高效液相色谱-高效液相色谱-质谱法对白芍提取物的有效成分进行分析。通过RNA和lncRNA测序,鉴定PCOS大鼠模型中差异表达的lncRNA、mirna和mrna。构建了一个潜在竞争的内源RNA (ceRNA)网络,并随后通过基因本体(GO)、京都基因与基因组百科全书(KEGG)富集分析和qRT-PCR进行了验证。最后采用Western blot分析BSHT对下游胰岛素受体蛋白和信号通路蛋白表达的影响。结果:高效液相色谱-高效液相色谱-质谱联用技术鉴定出白芍提取物中503种有效成分。与对照组相比,PCOS大鼠表现出1181个lncrna和2696个mrna的差异表达。BSHT治疗显著改变了336个lncRNA和678个mrna的表达,qRT-PCR显示lncRNA xloco -018280的表达水平显著下调约4倍(p)。结论:补肾化浊方通过调节lncRNA- mirna - mrna网络,影响下游蛋白INSR、IRS-1、IRS-2、PI3K、p-AKT的表达,缓解PCOS的内分泌代谢紊乱。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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