Prediction of the Signaling Pathway in Polycystic Ovary Syndrome Using an Integrated Bioinformatics Approach.

IF 2 4区 医学 Q2 OBSTETRICS & GYNECOLOGY
Gynecologic and Obstetric Investigation Pub Date : 2024-01-01 Epub Date: 2024-05-29 DOI:10.1159/000539228
Fadilah Fadilah, Budi Ermanto, Anom Bowolaksono, Asmarinah Asmarinah, Mila Maidarti, Aisyah Fitriannisa Prawiningrum, Muhammad Aldino Hafidzhah, Linda Erlina, Rafika Indah Paramita, Budi Wiweko
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引用次数: 0

Abstract

Objectives: The purpose of this study was to define the underlying biological mechanisms of polycystic ovarian syndrome (PCOS) utilizing the protein-protein interaction networks (PPINs) that were constructed based on the putative disease-causing genes for PCOS.

Design: No animals were used in this research because this is an in silico study that mainly uses software and online analysis tools. Participants/Materials, Settings: Gene datasets related to PCOS were obtained from Genecards.

Methods: The PPINs of PCOS were created using the String Database after genes related to PCOS were obtained from Genecards. After that, we performed an analysis of the hub-gene clusters extracted from the PPIN using the ShinyGO algorithm. In the final step of this research project, functional enrichment analysis was used to investigate the primary biological activities and signaling pathways that were associated with the hub clusters.

Results: The Genecards database provided the source for the identification of a total of 1,072 potential genes related to PCOS. The PPIN that was generated by using the genes that we collected above contained a total of 82 genes and three different types of cluster interaction interactions. In addition, after conducting research on the PPIN with the shinyGO plug-in, 19 of the most important gene clusters were discovered. The primary biological functions that were enriched in the key clusters that were developed were ovarian steroidogenesis, the breast cancer pathway, regulation of lipid and glucose metabolism by the AMPK pathway, and ovarian steroidogenesis. The integrated analysis that was performed in the current study demonstrated that these hub clusters and their connected genes are closely associated with the pathogenesis of PCOS.

Limitations: Several of the significant genes that were identified in this study, such as ACVR1, SMAD5, BMP6, SMAD3, SMAD4, and anti-mullerian hormone. It is necessary to do additional research using large samples, several centers, and multiple ethnicities in order to verify these findings.

Conclusions: The integrated analysis that was performed in the current study demonstrated that these hub clusters and their connected genes are closely associated with the pathogenesis of PCOS. This information may possibly bring unique insights for the treatment of PCOS as well as the investigation of its underlying pathogenic mechanism.

利用综合生物信息学方法预测多囊卵巢综合征的信号通路
研究目的 本研究的目的是利用根据多囊卵巢综合征可能的致病基因构建的蛋白质-蛋白质相互作用网络来确定多囊卵巢综合征的潜在生物学机制。设计 本研究不使用动物,因为本研究是一项主要使用软件和在线分析工具的 In-Silico 研究。参与者/材料,设置 与多囊卵巢综合征相关的基因数据集来自 Genecard。方法 从 Genecard 中获得与多囊卵巢综合征相关的基因后,利用字符串数据库创建多囊卵巢综合征的蛋白质-蛋白质相互作用网络(PPIN)。之后,我们使用 ShinyGO 算法对从 PPIN 中提取的中心基因群进行了分析。在本研究项目的最后一步,我们使用功能富集分析来研究与枢纽基因簇相关的主要生物活性和信号通路。结果 Genecard 数据库为鉴定与多囊卵巢综合症相关的 1072 个潜在基因提供了来源。利用上述收集的基因生成的 PPIN 共包含 82 个基因和三种不同类型的集群相互作用。此外,在使用 shinyGO 插件对 PPIN 进行研究后,还发现了 19 个最重要的基因簇。这些关键基因簇富集的主要生物学功能包括卵巢立体发生、乳腺癌通路、AMPK 通路对脂质和葡萄糖代谢的调控以及卵巢立体发生。本研究进行的综合分析表明,这些中心集群及其相关基因与多囊卵巢综合征的发病机制密切相关。局限性 本研究中发现的几个重要基因,如 ACVR1、SMAD5、BMP6、SMAD3、SMAD4 和 AMH。有必要使用大量样本、多个中心和多个种族进行更多研究,以验证这些发现。结论 本研究中进行的综合分析表明,这些中心集群及其相关基因与多囊卵巢综合症的发病机制密切相关。这些信息可能会为多囊卵巢综合症的治疗及其潜在发病机制的研究带来独特的见解。
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来源期刊
CiteScore
4.20
自引率
4.80%
发文量
44
审稿时长
6-12 weeks
期刊介绍: This journal covers the most active and promising areas of current research in gynecology and obstetrics. Invited, well-referenced reviews by noted experts keep readers in touch with the general framework and direction of international study. Original papers report selected experimental and clinical investigations in all fields related to gynecology, obstetrics and reproduction. Short communications are published to allow immediate discussion of new data. The international and interdisciplinary character of this periodical provides an avenue to less accessible sources and to worldwide research for investigators and practitioners.
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