人类阿尔茨海默病脑组织中批量RNA测序研究的系统评价和荟萃分析。
Systematic review and meta-analysis of bulk RNAseq studies in human Alzheimer's disease brain tissue.
作者信息
Heberle Bernardo Aguzzoli, Fox Kristin L, Libermann Lucas Lobraico, Xavier Sophia Ronchetti Martins, Dallarosa Guilherme Tarnowski, Santos Rhaná Carolina, Fardo David W, Viola Thiago Wendt, Ebbert Mark T W
机构信息
Sanders-Brown Center on Aging, University of Kentucky, Lexington, KY.
Department of Neuroscience, College of Medicine, University of Kentucky, Lexington, KY.
出版信息
bioRxiv. 2024 Nov 8:2024.11.07.622520. doi: 10.1101/2024.11.07.622520.
OBJECTIVE
To systematically review and meta-analyze bulk RNA sequencing studies comparing Alzheimer's disease (AD) patients with controls in human brain tissue, assessing study quality and identifying key genes and pathways.
METHODS
We searched PubMed, Web of Science, and Scopus on September 23, 2023, for studies using bulk RNAseq on primary human brain tissue from AD patients and controls. Excluded were non-primary tissue, re-analyses without new data, limited RNA types and gene panels. Quality was assessed with a 10-category tool. Meta-analysis used high-quality datasets.
RESULTS
From 3,266 records, 24 studies met criteria. Meta-analysis found 571 differentially expressed genes (DEGs) in temporal lobe and 189 in frontal lobe; overlapping pathways included "Tube morphogenesis" and "Neuroactive ligand-receptor interaction."
LIMITATIONS
Study heterogeneity and limited data tables constrained the review.
CONCLUSIONS
Rigorous methods are vital in AD transcriptomic studies. Findings enhance understanding of transcriptomic changes, aiding biomarker and therapeutic development.
REGISTRATION
PROSPERO (CRD42023466522).
目的
系统评价和荟萃分析在人类脑组织中比较阿尔茨海默病（AD）患者与对照的大量RNA测序研究，评估研究质量并确定关键基因和通路。
方法
我们于2023年9月23日在PubMed、Web of Science和Scopus上检索了使用大量RNA测序技术对AD患者和对照的原发性人类脑组织进行研究的文献。排除非原发性组织、无新数据的重新分析、有限的RNA类型和基因面板。使用10分类工具评估质量。荟萃分析使用高质量数据集。
结果
从3266条记录中，24项研究符合标准。荟萃分析发现颞叶中有571个差异表达基因（DEG），额叶中有189个；重叠的通路包括“管状形态发生”和“神经活性配体-受体相互作用”。
局限性
研究异质性和有限的数据表限制了本综述。
结论
严格的方法在AD转录组学研究中至关重要。研究结果增强了对转录组变化的理解，有助于生物标志物和治疗方法的开发。
注册信息
PROSPERO（CRD42023466522）。
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