{"title":"将肠道微生物群失调与阿尔茨海默病的分子途径联系起来","authors":"Elnaz Asadifard , Mahsa Hokmabadi , Mehrdad Hashemi , Ahmad Bereimipour","doi":"10.1016/j.brainres.2024.149242","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by cognitive decline and synaptic dysfunction. Emerging evidence suggests a significant relationship between gut microbiota and brain health, mediated through the gut-brain axis. Alterations in gut microbiota composition may influence AD progression by affecting molecular pathways and miRNA interactions.</p></div><div><h3>Methods</h3><p>We retrieved and analyzed microarray data from 34 tissue samples of AD patients and controls (GEO accession number GSE110298). Differentially expressed genes (DEGs) with the GCS score package in R, considering a p-value < 0.05 and logFC<-1 and logFC>1 to isolate significant gene clusters. Enrichment analysis of signaling pathways and gene ontology was conducted using Enrichr, KEGG, Panther, DAVID, and shiny GO databases. Protein-protein interactions were visualized with Networkanalyst and CytoScape. Gut microbiota in 200 CE patients was analyzed using next-generation sequencing (NGS) data from gutMDisorder and GMrepo databases. miRNA interactions were evaluated using miEAA, Targetscan, MienTurnet, and miRnet databases.</p></div><div><h3>Results</h3><p>Significant reductions in microbial taxa, including Clostridia (LDA score −4.878208), Firmicutes (LDA score −4.817032), and Faecalibacterium (LDA score −4.40714), were observed in AD patients. Pathway analysis highlighted the involvement of Axon guidance, ErbB, and MAPK signaling pathways in AD. Venn diagram analysis identified 619 intersecting genes in brain and gut tissues, emphasizing pathways such as Axon Guidance and Cell Cycle. miRNA analysis revealed important regulatory miRNAs, including hsa-let-7c, hsa-mir-125b-2, and hsa-mir-145, which target key transcription factors involved in AD pathology.</p></div><div><h3>Conclusion</h3><p>The study demonstrates significant dysbiosis in the gut microbiota of AD patients and underscores the potential role of gut microbiota in AD progression through altered signaling pathways and miRNA interactions. These findings highlight the need for further research into microbiota-based interventions as potential therapeutic strategies for AD.</p></div>","PeriodicalId":9083,"journal":{"name":"Brain Research","volume":"1845 ","pages":"Article 149242"},"PeriodicalIF":2.7000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linking gut microbiota dysbiosis to molecular pathways in Alzheimer’s disease\",\"authors\":\"Elnaz Asadifard , Mahsa Hokmabadi , Mehrdad Hashemi , Ahmad Bereimipour\",\"doi\":\"10.1016/j.brainres.2024.149242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by cognitive decline and synaptic dysfunction. Emerging evidence suggests a significant relationship between gut microbiota and brain health, mediated through the gut-brain axis. Alterations in gut microbiota composition may influence AD progression by affecting molecular pathways and miRNA interactions.</p></div><div><h3>Methods</h3><p>We retrieved and analyzed microarray data from 34 tissue samples of AD patients and controls (GEO accession number GSE110298). Differentially expressed genes (DEGs) with the GCS score package in R, considering a p-value < 0.05 and logFC<-1 and logFC>1 to isolate significant gene clusters. Enrichment analysis of signaling pathways and gene ontology was conducted using Enrichr, KEGG, Panther, DAVID, and shiny GO databases. Protein-protein interactions were visualized with Networkanalyst and CytoScape. Gut microbiota in 200 CE patients was analyzed using next-generation sequencing (NGS) data from gutMDisorder and GMrepo databases. miRNA interactions were evaluated using miEAA, Targetscan, MienTurnet, and miRnet databases.</p></div><div><h3>Results</h3><p>Significant reductions in microbial taxa, including Clostridia (LDA score −4.878208), Firmicutes (LDA score −4.817032), and Faecalibacterium (LDA score −4.40714), were observed in AD patients. Pathway analysis highlighted the involvement of Axon guidance, ErbB, and MAPK signaling pathways in AD. Venn diagram analysis identified 619 intersecting genes in brain and gut tissues, emphasizing pathways such as Axon Guidance and Cell Cycle. miRNA analysis revealed important regulatory miRNAs, including hsa-let-7c, hsa-mir-125b-2, and hsa-mir-145, which target key transcription factors involved in AD pathology.</p></div><div><h3>Conclusion</h3><p>The study demonstrates significant dysbiosis in the gut microbiota of AD patients and underscores the potential role of gut microbiota in AD progression through altered signaling pathways and miRNA interactions. 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引用次数: 0
摘要
背景阿尔茨海默病(AD)是一种以认知能力下降和突触功能障碍为特征的进行性神经退行性疾病。新的证据表明,肠道微生物群与大脑健康之间存在着重要的关系,这种关系是通过肠道-大脑轴介导的。肠道微生物群组成的改变可能会影响分子通路和 miRNA 的相互作用,从而影响 AD 的进展。使用 R 中的 GCS 评分包对差异表达基因(DEGs)进行分析,考虑 p 值 < 0.05 以及 logFC<-1 和 logFC>1,以分离出重要的基因簇。利用 Enrichr、KEGG、Panther、DAVID 和 shiny GO 数据库对信号通路和基因本体进行了富集分析。利用 Networkanalyst 和 CytoScape 对蛋白质之间的相互作用进行了可视化分析。利用 gutMDisorder 和 GMrepo 数据库中的下一代测序(NGS)数据分析了 200 名 CE 患者的肠道微生物群,并利用 miEAA、Targetscan、MienTurnet 和 miRnet 数据库评估了 miRNA 之间的相互作用。结果在 AD 患者中观察到微生物类群显著减少,包括梭状芽孢杆菌(LDA 得分-4.878208)、真菌(LDA 得分-4.817032)和粪杆菌(LDA 得分-4.40714)。通路分析显示,轴突导向、ErbB 和 MAPK 信号通路参与了 AD 的研究。miRNA分析揭示了重要的调控miRNA,包括hsa-let-7c、hsa-mir-125b-2和hsa-mir-145,它们靶向参与AD病理学的关键转录因子。结论这项研究表明,AD 患者的肠道微生物群存在严重的菌群失调,并强调了肠道微生物群通过改变信号通路和 miRNA 相互作用在 AD 进展中的潜在作用。这些发现突出表明,有必要进一步研究基于微生物群的干预措施,将其作为治疗 AD 的潜在策略。
Linking gut microbiota dysbiosis to molecular pathways in Alzheimer’s disease
Background
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by cognitive decline and synaptic dysfunction. Emerging evidence suggests a significant relationship between gut microbiota and brain health, mediated through the gut-brain axis. Alterations in gut microbiota composition may influence AD progression by affecting molecular pathways and miRNA interactions.
Methods
We retrieved and analyzed microarray data from 34 tissue samples of AD patients and controls (GEO accession number GSE110298). Differentially expressed genes (DEGs) with the GCS score package in R, considering a p-value < 0.05 and logFC<-1 and logFC>1 to isolate significant gene clusters. Enrichment analysis of signaling pathways and gene ontology was conducted using Enrichr, KEGG, Panther, DAVID, and shiny GO databases. Protein-protein interactions were visualized with Networkanalyst and CytoScape. Gut microbiota in 200 CE patients was analyzed using next-generation sequencing (NGS) data from gutMDisorder and GMrepo databases. miRNA interactions were evaluated using miEAA, Targetscan, MienTurnet, and miRnet databases.
Results
Significant reductions in microbial taxa, including Clostridia (LDA score −4.878208), Firmicutes (LDA score −4.817032), and Faecalibacterium (LDA score −4.40714), were observed in AD patients. Pathway analysis highlighted the involvement of Axon guidance, ErbB, and MAPK signaling pathways in AD. Venn diagram analysis identified 619 intersecting genes in brain and gut tissues, emphasizing pathways such as Axon Guidance and Cell Cycle. miRNA analysis revealed important regulatory miRNAs, including hsa-let-7c, hsa-mir-125b-2, and hsa-mir-145, which target key transcription factors involved in AD pathology.
Conclusion
The study demonstrates significant dysbiosis in the gut microbiota of AD patients and underscores the potential role of gut microbiota in AD progression through altered signaling pathways and miRNA interactions. These findings highlight the need for further research into microbiota-based interventions as potential therapeutic strategies for AD.
期刊介绍:
An international multidisciplinary journal devoted to fundamental research in the brain sciences.
Brain Research publishes papers reporting interdisciplinary investigations of nervous system structure and function that are of general interest to the international community of neuroscientists. As is evident from the journals name, its scope is broad, ranging from cellular and molecular studies through systems neuroscience, cognition and disease. Invited reviews are also published; suggestions for and inquiries about potential reviews are welcomed.
With the appearance of the final issue of the 2011 subscription, Vol. 67/1-2 (24 June 2011), Brain Research Reviews has ceased publication as a distinct journal separate from Brain Research. Review articles accepted for Brain Research are now published in that journal.