Gut microbiome composition may be an indicator of preclinical Alzheimer’s disease

IF 15.8 1区 医学 Q1 CELL BIOLOGY Science Translational Medicine Pub Date : 2023-06-14 DOI:10.1126/scitranslmed.abo2984
Aura L. Ferreiro, JooHee Choi, Jian Ryou, Erin P. Newcomer, Regina Thompson, Rebecca M. Bollinger, Carla Hall-Moore, I. Malick Ndao, Laurie Sax, Tammie L. S. Benzinger, Susan L. Stark, David M. Holtzman, Anne M. Fagan, Suzanne E. Schindler, Carlos Cruchaga, Omar H. Butt, John C. Morris, Phillip I. Tarr, Beau M. Ances, Gautam Dantas
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引用次数: 7

Abstract

Alzheimer’s disease (AD) pathology is thought to progress from normal cognition through preclinical disease and ultimately to symptomatic AD with cognitive impairment. Recent work suggests that the gut microbiome of symptomatic patients with AD has an altered taxonomic composition compared with that of healthy, cognitively normal control individuals. However, knowledge about changes in the gut microbiome before the onset of symptomatic AD is limited. In this cross-sectional study that accounted for clinical covariates and dietary intake, we compared the taxonomic composition and gut microbial function in a cohort of 164 cognitively normal individuals, 49 of whom showed biomarker evidence of early preclinical AD. Gut microbial taxonomic profiles of individuals with preclinical AD were distinct from those of individuals without evidence of preclinical AD. The change in gut microbiome composition correlated with β-amyloid (Aβ) and tau pathological biomarkers but not with biomarkers of neurodegeneration, suggesting that the gut microbiome may change early in the disease process. We identified specific gut bacterial taxa associated with preclinical AD. Inclusion of these microbiome features improved the accuracy, sensitivity, and specificity of machine learning classifiers for predicting preclinical AD status when tested on a subset of the cohort (65 of the 164 participants). Gut microbiome correlates of preclinical AD neuropathology may improve our understanding of AD etiology and may help to identify gut-derived markers of AD risk.
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肠道微生物组成可能是临床前阿尔茨海默病的一个指标。
阿尔茨海默病(AD)的病理被认为是从正常认知发展到临床前疾病,最终发展到伴有认知障碍的症状性AD。最近的研究表明,与健康、认知正常的对照个体相比,有症状的AD患者的肠道微生物组的分类组成发生了变化。然而,关于症状性阿尔茨海默病发病前肠道微生物群变化的知识是有限的。在这项考虑临床协变量和饮食摄入的横断面研究中,我们比较了164名认知正常个体的分类组成和肠道微生物功能,其中49人显示出早期临床前AD的生物标志物证据。临床前阿尔茨海默病患者的肠道微生物分类特征与没有临床前阿尔茨海默病证据的个体不同。肠道微生物组组成的变化与β-淀粉样蛋白(Aβ)和tau病理生物标志物相关,但与神经变性生物标志物无关,表明肠道微生物组可能在疾病早期发生变化。我们确定了与临床前AD相关的特定肠道细菌分类群。当在队列的一个子集(164名参与者中的65名)进行测试时,纳入这些微生物组特征提高了机器学习分类器预测临床前AD状态的准确性、敏感性和特异性。临床前阿尔茨海默病神经病理学的肠道微生物组相关性可能提高我们对阿尔茨海默病病因学的理解,并可能有助于识别阿尔茨海默病风险的肠道来源标志物。
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来源期刊
Science Translational Medicine
Science Translational Medicine CELL BIOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
CiteScore
26.70
自引率
1.20%
发文量
309
审稿时长
1.7 months
期刊介绍: Science Translational Medicine is an online journal that focuses on publishing research at the intersection of science, engineering, and medicine. The goal of the journal is to promote human health by providing a platform for researchers from various disciplines to communicate their latest advancements in biomedical, translational, and clinical research. The journal aims to address the slow translation of scientific knowledge into effective treatments and health measures. It publishes articles that fill the knowledge gaps between preclinical research and medical applications, with a focus on accelerating the translation of knowledge into new ways of preventing, diagnosing, and treating human diseases. The scope of Science Translational Medicine includes various areas such as cardiovascular disease, immunology/vaccines, metabolism/diabetes/obesity, neuroscience/neurology/psychiatry, cancer, infectious diseases, policy, behavior, bioengineering, chemical genomics/drug discovery, imaging, applied physical sciences, medical nanotechnology, drug delivery, biomarkers, gene therapy/regenerative medicine, toxicology and pharmacokinetics, data mining, cell culture, animal and human studies, medical informatics, and other interdisciplinary approaches to medicine. The target audience of the journal includes researchers and management in academia, government, and the biotechnology and pharmaceutical industries. It is also relevant to physician scientists, regulators, policy makers, investors, business developers, and funding agencies.
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