Mohammad Shafieinouri, Samantha Hong, Artur Schuh, Mary B. Makarious, Rodrigo Sandon, Paul Suhwan Lee, Emily Simmonds, Hirotaka Iwaki, Gracelyn Hill, Cornelis Blauwendraat, Valentina Escott-Price, Yue A. Qi, Alastair J. Noyce, Armando Reyes-Palomares, Hampton Leonard, Malu Tansey, Andrew Singleton, Mike A. Nalls, Kristin S. Levine, Sara Bandres-Ciga
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Using data from UK Biobank, SAIL Biobank, and FinnGen, we conducted an unbiased, population-scale study to: 1) Investigate how 155 endocrine, nutritional, metabolic, and digestive system disorders are associated with AD and PD risk prior to their diagnosis, considering known genetic influences; 2) Assess plasma biomarkers' specificity for AD or PD in individuals with these conditions; 3) Develop a multi-classification model integrating genetics, proteomics, and clinical data relevant to conditions affecting the gut-brain axis. Our findings show that certain disorders elevate AD and PD risk before AD and PD diagnosis including: insulin and non-insulin dependent diabetes mellitus, noninfective gastro-enteritis and colitis, functional intestinal disorders, and bacterial intestinal infections, among others. Polygenic risk scores revealed lower genetic predisposition to AD and PD in individuals with co-occurring disorders in the study categories, underscoring the importance of regulating the gut-brain axis to potentially prevent or delay the onset of neurodegenerative diseases. The proteomic profile of AD/PD cases was influenced by comorbid endocrine, nutritional, metabolic, and digestive systems conditions. Importantly, we developed multi-omics prediction models integrating clinical, genetic, proteomic and demographic data, the combination of which performs better than any single paradigm approach in disease classification. 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引用次数: 0
摘要
阿尔茨海默病(AD)和帕金森病(PD)受遗传和环境因素的影响。利用英国生物库、SAIL 生物库和 FinnGen 的数据,我们开展了一项无偏见的人口规模研究,目的是1)考虑到已知的遗传影响因素,调查 155 种内分泌、营养、新陈代谢和消化系统疾病在确诊前如何与注意力缺失症和注意力缺失症风险相关联;2)评估血浆生物标志物对患有这些疾病的个体中注意力缺失症或注意力缺失症的特异性;3)开发一个多分类模型,整合与影响肠脑轴的疾病相关的遗传学、蛋白质组学和临床数据。我们的研究结果表明,某些疾病会在确诊 AD 和 PD 之前增加 AD 和 PD 风险,这些疾病包括:胰岛素和非胰岛素依赖型糖尿病、非感染性胃肠炎和结肠炎、功能性肠道疾病和细菌性肠道感染等。多基因风险评分显示,在研究类别中,共患疾病的个体对注意力缺失症和注意力缺失症的遗传易感性较低,这凸显了调节肠脑轴对预防或延缓神经退行性疾病发病的重要性。AD/PD病例的蛋白质组特征受到合并内分泌、营养、代谢和消化系统疾病的影响。重要的是,我们开发了整合临床、遗传、蛋白质组和人口统计学数据的多组学预测模型,在疾病分类中,这些数据的组合比任何单一范式方法的效果都要好。这项工作旨在阐明肠脑轴涉及的各种生理因素与AD和PD发病之间错综复杂的相互作用,提供一种超越传统方法的多因素系统性认识。
Gut-Brain Nexus: Mapping Multi-Modal Links to Neurodegeneration at Biobank Scale
Alzheimer's disease (AD) and Parkinson's disease (PD) are influenced by genetic and environmental factors. Using data from UK Biobank, SAIL Biobank, and FinnGen, we conducted an unbiased, population-scale study to: 1) Investigate how 155 endocrine, nutritional, metabolic, and digestive system disorders are associated with AD and PD risk prior to their diagnosis, considering known genetic influences; 2) Assess plasma biomarkers' specificity for AD or PD in individuals with these conditions; 3) Develop a multi-classification model integrating genetics, proteomics, and clinical data relevant to conditions affecting the gut-brain axis. Our findings show that certain disorders elevate AD and PD risk before AD and PD diagnosis including: insulin and non-insulin dependent diabetes mellitus, noninfective gastro-enteritis and colitis, functional intestinal disorders, and bacterial intestinal infections, among others. Polygenic risk scores revealed lower genetic predisposition to AD and PD in individuals with co-occurring disorders in the study categories, underscoring the importance of regulating the gut-brain axis to potentially prevent or delay the onset of neurodegenerative diseases. The proteomic profile of AD/PD cases was influenced by comorbid endocrine, nutritional, metabolic, and digestive systems conditions. Importantly, we developed multi-omics prediction models integrating clinical, genetic, proteomic and demographic data, the combination of which performs better than any single paradigm approach in disease classification. This work aims to illuminate the intricate interplay between various physiological factors involved in the gut-brain axis and the development of AD and PD, providing a multifactorial systemic understanding that goes beyond traditional approaches.