March 2012
Volume 53, Issue 14
Free
ARVO Annual Meeting Abstract  |   March 2012
Non-invasive Clinical Detection of Age-Related and Alzheimer’s Disease-Down Syndrome Dependent Changes in the Lens
Author Affiliations & Notes
  • Srikant Sarangi
    Biomedical Engineering,
    Boston University, Boston, Massachusetts
  • Olga Minaeva
    Biomedical Engineering,
    Boston University, Boston, Massachusetts
  • Juliet A. Moncaster
    School of Medicine,
    Boston University, Boston, Massachusetts
  • Noel F. Casey
    School of Medicine,
    Boston University, Boston, Massachusetts
  • Robert H. Webb
    Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts
  • Danielle Ledoux
    Children's Hospital Boston, Boston, Massachusetts
  • John I. Clark
    Biological Structure and Ophthalmology, University of Washington, Seattle, Washington
  • David G. Hunter
    Children's Hospital Boston, Boston, Massachusetts
  • Lee Goldstein
    School of Medicine,
    Boston University, Boston, Massachusetts
  • Footnotes
    Commercial Relationships  Srikant Sarangi, None; Olga Minaeva, None; Juliet A. Moncaster, None; Noel F. Casey, None; Robert H. Webb, None; Danielle Ledoux, None; John I. Clark, None; David G. Hunter, None; Lee Goldstein, Neuroptix, Corp. (C, P)
  • Footnotes
    Support  NIH-NIGMS, NIH-NIA P30-AG13846
Investigative Ophthalmology & Visual Science March 2012, Vol.53, 3665. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Srikant Sarangi, Olga Minaeva, Juliet A. Moncaster, Noel F. Casey, Robert H. Webb, Danielle Ledoux, John I. Clark, David G. Hunter, Lee Goldstein; Non-invasive Clinical Detection of Age-Related and Alzheimer’s Disease-Down Syndrome Dependent Changes in the Lens. Invest. Ophthalmol. Vis. Sci. 2012;53(14):3665.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose: : The hallmark pathology in Alzheimer’s disease (AD) is characterized by age-related deposition in the brain of amyloid-β peptides (Aβ) which eventually results in plaque formation. Aβ is a cleavage product derived from the amyloid precursor protein (APP) encoded on chromosome 21. DS is the most common chromosomal disorder in humans and carries 100% risk of early-onset AD due to chromosome 21 triplication. Triplication of the APP gene (21q21) results in increased expression of APP and Aβ overproduction. We discovered that Aβ accumulates in the supranuclear region of the lens in patients with AD (Goldstein et al., Lancet, 2003) and DS (Moncaster et al., PloS One, 2010). Here we present a non-invasive quantitative technique using quasi-elastic light scattering (QLS) analysis to detect and monitor AD-linked Aβ accumulation in the lens.

Methods: : In AD and DS lenses, Aβ accumulates as electron-dense intracellular aggregates (~5-100 nm) that distribute heterogeneously within the cytoplasm of supranuclear and deep cortical lens fiber cells. These Aβ lens aggregates qualify as Raleigh scattering centers that clinically manifest as distinctive specific supranuclear lens opacities that are phenotypically, anatomically, and biochemically distinguishable from common age-related nuclear cataracts. We use quasi-elastic light scattering (QLS) to detect and monitor these aggregates in vivo and in vitro.

Results: : QLS measurements were performed on DS subject and controls. We demonstrate early age-related increases in light scattering from the lens of subjects with DS compared to age-matched controls. In vitro and AD transgenic mouse studies confirm Aβ dose- and time-dependent increases in QLS light scattering.

Conclusions: : QLS can be used to detect early AD-linked Aβ pathology in the lenses of human subjects with Down Syndrome.

Keywords: aging • detection • laser 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×