E-Science for Alzheimer Disease
  • June Kinoshita
  • Timothy Clark
Part of the Methods in Molecular Biology™ book series (MIMB, volume 401)


The Alzheimer Research Forum Web site ( is an independent research project to develop an online community resource to manage scientific knowledge, information, and data about Alzheimer disease (AD). Its goals are to promote rapid communication, research efficiency, and collaborative, multidisciplinary interactions. Introducing new knowledge management approaches to AD research has a potentially large societal value. AD is among the leading causes of disability and death in older people. According to the Alzheimer’s Association, four million Americans currently suffer from AD. That number is expected to escalate to over 10 million in coming decades. Patients progress from memory loss to a bedridden state over many years and require near-constant care. In addition to imposing a heavy burden on family caregivers and society at large, AD and related neurodegenerative disorders are among the most complex and challenging in biomedicine. Researchers have produced an abundance of data implicating diverse biological mechanisms. Important factors include genes, environmental risks, changes in cell functions, DNA damage, accumulation of misfolded proteins, cell death, immune responses, changes related to aging, and reduced regenerative capacity. Yet there is no agreement on the fundamental causes of AD. The situations regarding Parkinson, Huntington, and amyotrophic lateral sclerosis (ALS) are similar. The challenge of integrating so much data into testable hypotheses and unified concepts is formidable. What is more, basic understanding of these diseases needs to intersect with an equally complex universe of pharmacology, medicinal chemistry, animal studies, and clinical trials. In this chapter, we will describe the approaches developed by Alzforum to achieve knowledge integration through information technology and virtual community-building. We will also propose some future directions in the application of Web-based knowledge management systems in neuromedicine.


Alzheimer disease knowledge management. 



We thank Yong Gao and Gabriele Fariello of the SWAN team at the MGH and members of the ARF team: Elaine Alibrandi, Tom Fagan, Donald Hatfield, Hakon Heimer, Sandra Kirley, Colin Knepp, Paula Noyes, Nico Stanculescu, Gabrielle Strobel, and Elizabeth Wu. We are grateful to the Ellison Medical Foundation for its generous support of the SWAN project and are indebted to an anonymous foundation for its unstinting support of the ARF.


  1. 1. Scholar
  2. 2.
    Marchesi, V. T. (2005) An alternative interpretation of the amyloid Abeta hypothesis with regard to the pathogenesis of Alzheimer’s disease. Proc Natl Acad Sci USA 102(26):9093–8.CrossRefPubMedGoogle Scholar
  3. 3.
    Protofibrillar A-beta in Alzheimer Disease, an Alzforum Live Discussion with Brian Cummings, Dean Hartley, William Klein, Mary Lambert, Dennis Selkoe, et al. (2000) Accessed at Scholar
  4. 4.
    Berners-Lee, T. (1998) Semantic Web Road Map. Available at Scholar
  5. 5.
    Berners-Lee, T., Hendler, J., and Lassila, O. (2001) The Semantic Web. Scientific American 284(55):28–37.Google Scholar
  6. 6.
    Hendler, J. (2003) Science and the Semantic Web. Science 299:520–521.CrossRefPubMedGoogle Scholar
  7. 7.
    Clark, T., and Kinoshita, J. (2004) A pilot KB of biological pathways important in Alzheimer’s Disease. W3C Workshop on Semantic Web for Life Sciences, Cambridege, MA, USA.Google Scholar
  8. 8.
    Available at Some browsers may require a “view source” operation to see the RDF.Google Scholar
  9. 9.
    Wikipedia: The Free Encyclopedia. Available at Scholar
  10. 10.
    Insel, T. R., Volkow, M. D., Li, T. K., Battey, J. F., Landis, S. C. (2003) Neuroscience Networks. PLoS Biol 1(1): c17 doi: 10.1371/journal.pbio.0000017.CrossRefGoogle Scholar

Copyright information

© Humana Press Inc. 2007

Authors and Affiliations

  • June Kinoshita
    • 1
  • Timothy Clark
    • 2
  1. 1.Alzheimer Research ForumWaltham
  2. 2.Harvard University Initiative in Innovative Computing & Department of NeurologyHarvard Medical SchoolCambridge

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