Abstract
Alzheimer’s disease is one of the most severe types of dementia that causes problems with memory, thinking, and behavior. Biotechnology and bioinformatics are nowadays involved in the establishment of advanced methods of diagnosis and treatment, including molecular medicine, personalized medicine, gene identification and manipulation, as well as neural engineering. Next-generation sequencing is one of the strongest tools for studying genetic diseases and gene mutations. Additionally, brain-computer interface could be used in the near future to assist people with paralysis or other related disorders and physical injuries to move toward into a better way of life, restoring memory or improving the way of everyday life. This chapter aims to provide an overview of the most common and an advanced application of biotechnology and bioinformatics in Alzheimer’s including the genome-wide association studies and the role of microbiome detection in Alzheimer’s disease.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alexiou A, Mantzavinos VD, Greig NH, Kamal MA (2017) A Bayesian model for the prediction and early diagnosis of Alzheimer’s disease. Front Aging Neurosci 9:77. https://doi.org/10.3389/fnagi.2017.00077
Blennow K, deLeon MJ, Zetterberg H (2006) Alzheimer’s disease. Lancet 368(9533):387–403
Bodily PM, Fujimoto MS, Page JT, Clement MJ, Ebbert MT, Ridge PG, Alzheimer’s Disease Neuroimaging Initiative (2016) A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease. BMC Bioinf 17(Suppl 7):268. https://doi.org/10.1186/s12859-016-1093-7
Callaway E (2012) Alzheimer’s drugs take a new tack. Nature 489:13–14. https://doi.org/10.1038/48901
Chatzichronis S, Alexiou A, Simou P, Matzavinos V, Tsiamis V et al (2019) Neurocognitive assessment software for enrichment sensory environments. J Proteomics Bioinform 12:018–028. https://doi.org/10.4172/0974-276X.1000492
Chen H, Chan DC (2009) Mitochondrial dynamics – fusion, fission, movement, and mitophagy-in neurodegenerative diseases. Hum Mol Genet 18(R2):R169–R176
Chen H, McCaffery JM, Chan DC (2007) Mitochondrial fusion protects against neurodegeneration in the cerebellum. Cell 130(3):548–562
Deming Y, Filipello F, Cignarella F, Hsu S, Mikesell R, Li Z, Del-Aguila JL, Dube U, Farias FG, Bradley J, Cantoni C, Benitez B, Budde J, Ibanez L, Fernandez MV, Blennow K, Nellgard B, Zetterberg H, Heslegrave A, Johansson PM, Svensson J, Lleo A, Alcolea D, Clarimon J, Rami L, Molinuevo JL, Suarez-Calvet M, Morenas-Rodriguez E, Kleinberger G, Ewers M, Brett TJ, Haass C, Harari O, Karch CM, Piccio L, Cruchaga C (2018) The MS4A gene cluster is a key regulator of soluble TREM2 and Alzheimer disease risk. bioRxiv 352179. https://doi.org/10.1101/352179
Gardner A et al (2009) Differences at brain SPECT between depressed females with and without adult ADHD and healthy controls: etiological considerations. Behav Brain Funct 5(1):37
Herwig U, Satrapi P, Schönfeldt-Lecuona C (2003) Using the international 10-20 EEG system for positioning of transcranial magnetic stimulation. Brain Topogr 16:95–99. https://doi.org/10.1023/B:BRAT.0000006333.93597.9d
Ibsen S et al (2015) Sonogenetics is a non-invasive approach to activating neurons in Caenorhabditis elegans. Nat Commun 6:8264. https://doi.org/10.1038/ncomms9264
Lau T, Gwin J, Ferris D (2012) How many electrodes are really needed for EEG-based mobile brain imaging? J Behav Brain Sci 2(3):387–393. https://doi.org/10.4236/jbbs.2012.23044
Levitin A (2011) Introduction to the design and analysis of algorithms, 3rd edn. Pearson Education Limited, Harlow
Luo S, Lu JY, Liu L (2016) Divergent lncRNAs regulate gene expression and lineage differentiation in pluripotent cells. Cell Stem Cell 18(5):637–652
Lustbader JW et al (2004) ABAD directly links Abeta to mitochondrial toxicity in Alzheimer’s disease. Science (New York, NY) 304(5669):448–452
Mantzavinos V, Alexiou A (2017) Biomarkers for Alzheimer’s disease diagnosis. Curr Alzheimer Res 14(11):1149–1154
Marioni RE, Harris SE, McRae AF et al (2018) GWAS on family history of Alzheimer’s disease. Transl Psychiatry 8:99
Martin LJ (2010) Mitochondrial and cell death mechanisms in neurodegenerative diseases. Pharmaceuticals 3(4):839–915
Mattsson N (2009) CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 302:385
Mattsson N (2010) CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 302(4):385–393. https://doi.org/10.1001/jama.2009.1064
Minter MR, Hinterleitner R, Meisel M, Zhang C, Leone V, Zhang X, Oyler-Castrillo P, Zhang X, Musch MW, Shen X, Jabri B, Chang EB, Tanzi RE et al (2017) Antibiotic-induced perturbations in microbial diversity during post-natal development alters amyloid pathology in an aged APPSWE/PS1ΔE9 murine model of Alzheimer’s disease. Sci Rep 7(1):10411. https://doi.org/10.1038/s41598-017-11047-w
Petersen RC, Doody R, Kurz A et al (2001) Current concepts in mild cognitive impairment. Arch Neurol 58(12):1985–1992
Rao AA, Reddi KK, Thota H (2008) Bioinformatic analysis of Alzheimer’s disease using functional protein sequences. J Proteomics Bioinform 1:036–042. https://doi.org/10.4172/jpb.1000007
Ridge PG, Karch CM, Hsu S, Arano I, Teerlink CC, Ebbert M, Gonzalez Murcia JD, Farnham JM, Damato AR, Allen M, Wang X, Harari O, Fernandez VM, Guerreiro R, Bras J, Hardy J, Munger R, Norton M, Sassi C, Singleton A, Younkin SG, Dickson DW, Golde TE, Price ND, Ertekin-Taner N, Cruchaga C, Goate AM, Corcoran C, Tschanz J, Cannon-Albright LA, Kauwe J, Alzheimer’s Disease Neuroimaging Initiative (2017) Linkage, whole genome sequence, and biological data implicate variants in RAB10 in Alzheimer’s disease resilience. Genome Med 9(1):100. https://doi.org/10.1186/s13073-017-0486-1
Sanchez-Mut JV et al (2018) PM20D1 is a quantitative trait locus associated with Alzheimer’s disease. Nat Med 24:598–603
Visser PJ, Verhey FR (2008) Mild cognitive impairment as predictor for Alzheimer’s disease in clinical practice: effect of age and diagnostic criteria. Psychol Med 38(1):113–122
Vogt NM, Kerby RL, Dill-McFarland KA, Harding SJ, Merluzzi AP, Johnson SC, Carlsson CM, Asthana S, Zetterberg H, Blennow K, Bendlin BB et al (2017) Gut microbiome alterations in Alzheimer’s disease. Sci Rep 7(1):13537. https://doi.org/10.1038/s41598-017-13601-y
Wang X et al (2008) Amyloid-beta overproduction causes abnormal mitochondrial dynamics via differential modulation of mitochondrial fission/fusion proteins. Proc Natl Acad Sci U S A 105(49):19318–19323
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Ali, M.A., Alexiou, A., Ashraf, G.M. (2019). Biotechnology and Bioinformatics Applications in Alzheimer’s Disease. In: Ashraf, G., Alexiou, A. (eds) Biological, Diagnostic and Therapeutic Advances in Alzheimer's Disease. Springer, Singapore. https://doi.org/10.1007/978-981-13-9636-6_12
Download citation
DOI: https://doi.org/10.1007/978-981-13-9636-6_12
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9635-9
Online ISBN: 978-981-13-9636-6
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)