The Microbiome in Neurodegenerative Disease

被引:6
作者
Brown E.G. [1 ]
Tanner C.M. [2 ]
Goldman S.M. [3 ]
机构
[1] Department of Neurology, University of California-San Francisco, San Francisco
[2] Department of Neurology, San Francisco Veterans Affairs Health Care System, PADRECC (Parkinson’s Disease Research Education and Clinical Center), University of California-San Francisco, San Francisco
[3] Division of Occupational & Environmental Medicine & Department of Neurology, San Francisco Veterans Affairs Health Care System, University of California-San Francisco, San Francisco
关键词
Alzheimer’s disease; Gut-brain axis; Microbiome; Microbiota; Neurodegeneration; Parkinson’s disease;
D O I
10.1007/s13670-018-0240-6
中图分类号
学科分类号
摘要
Purpose of Review: To review recent updates in our understanding of the microbiome and its relationship to neurodegenerative disease. Recent Findings: Recognition of the microbiome’s role in health and disease continues to expand. Recent techniques have focused on delineating the function and metabolism of resident organisms, which may correlate more directly with human physiology than identification of species. The role of the microbiome may be of particular importance in certain neurodegenerative diseases, including Parkinson’s disease and Alzheimer’s disease, among others. Summary: The microbiome influences brain function and may play a role in neurodegenerative disease. Potential mechanisms include immunologic activation and promotion/attenuation of inflammation, as well as direct effects on induction and/or exacerbation of protein aggregation. The microbiome also has increasingly well-documented effects on the metabolism of therapeutic medications. Future studies will need to work through complex methodologic issues in order to identify which changes are truly disease-specific. Nevertheless, manipulation of the microbiome may soon improve our ability to treat neurodegenerative disease. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
引用
收藏
页码:81 / 91
页数:10
相关论文
共 119 条
[11]  
Shaffer M., Armstrong A.J.S., Phelan V.V., Reisdorph N., Lozupone C.A., Microbiome and metabolome data integration provides insight into health and disease, Transl Res, 189, pp. 51-64, (2017)
[12]  
Turnbaugh P.J., Hamady M., Yatsunenko T., Cantarel B.L., Duncan A., Ley R.E., Sogin M.L., Jones W.J., Roe B.A., Affourtit J.P., Egholm M., Henrissat B., Heath A.C., Knight R., Gordon J.I., A core gut microbiome in obese and lean twins, Nature, 457, 7228, pp. 480-484, (2009)
[13]  
Tedjo D.I., Jonkers D.M.A.E., Savelkoul P.H., Masclee A.A., van Best N., Pierik M.J., Penders J., The effect of sampling and storage on the fecal microbiota composition in healthy and diseased subjects, PLoS One, 10, 5, (2015)
[14]  
Kuczynski J., Lauber C.L., Walters W.A., Parfrey L.W., Clemente J.C., Gevers D., Knight R., Experimental and analytical tools for studying the human microbiome, Nat Rev Genet, 13, 1, pp. 47-58, (2011)
[15]  
Brooks J.P., Challenges for case-control studies with microbiome data, Ann Epidemiol, 26, 5, pp. 336-341, (2016)
[16]  
Gloor G.B., Wu J.R., Pawlowsky-Glahn V., Egozcue J.J., It’s all relative: analyzing microbiome data as compositions, Ann Epidemiol, 26, 5, pp. 322-329, (2016)
[17]  
Robinson C.K., Brotman R.M., Ravel J., Intricacies of assessing the human microbiome in epidemiologic studies, Ann Epidemiol, 26, 5, pp. 311-321, (2016)
[18]  
Kaczmarek J.L., Musaad S.M., Holscher H.D., Time of day and eating behaviors are associated with the composition and function of the human gastrointestinal microbiota, Am J Clin Nutr, 106, pp. 1220-1231, (2017)
[19]  
Mai V., Prosperi M., Yaghjyan L., Moving microbiota research toward establishing causal associations that represent viable targets for effective public health interventions, Ann Epidemiol, 26, 5, pp. 306-310, (2016)
[20]  
Dominguez-Bello M.G., Costello E.K., Contreras M., Magris M., Hidalgo G., Fierer N., Knight R., Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns, Proc Natl Acad Sci U S A, 107, 26, pp. 11971-11975, (2010)