June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
In vivo quasi-elastic light scattering eye scanner detects molecular aging in humans and mice
Author Affiliations & Notes
  • Douglas Parsons
    Department of Radiology, Boston University, Boston, Massachusetts, United States
  • Srikant Sarangi
    Department of Radiology, Boston University, Boston, Massachusetts, United States
  • Olga Minaeva
    Department of Radiology, Boston University, Boston, Massachusetts, United States
  • Danielle Ledoux
    Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts, United States
    Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Juliet A Moncaster
    Department of Radiology, Boston University, Boston, Massachusetts, United States
  • John I Clark
    Department of Biological Structure, University of Washington, Seattle, Washington, United States
  • David G Hunter
    Department of Ophthalmology, Boston Children's Hospital, Boston, Massachusetts, United States
    Department of Ophthalmology, Harvard Medical School, Boston, Massachusetts, United States
  • Lee E Goldstein
    Department of Radiology, Boston University, Boston, Massachusetts, United States
    Boston University Alzheimer's Disease Center, Boston, Massachusetts, United States
  • Footnotes
    Commercial Relationships   Douglas Parsons None; Srikant Sarangi None; Olga Minaeva None; Danielle Ledoux None; Juliet Moncaster None; John Clark None; David Hunter None; Lee Goldstein None
  • Footnotes
    Support  Mass Lions Eye Research Fund
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 4042 – F0006. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Douglas Parsons, Srikant Sarangi, Olga Minaeva, Danielle Ledoux, Juliet A Moncaster, John I Clark, David G Hunter, Lee E Goldstein; In vivo quasi-elastic light scattering eye scanner detects molecular aging in humans and mice. Invest. Ophthalmol. Vis. Sci. 2022;63(7):4042 – F0006.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : The absence of clinical tools to evaluate individual variation in the pace of aging represents a major impediment to understanding aging and maximizing health throughout life. The lens is an ideal tissue for quantitative assessment of molecular aging in vivo. Long-lived proteins in lens fiber cells are expressed during fetal life, do not undergo turnover, accumulate molecular alterations throughout life, and are optically accessible in vivo. The study purpose was to measure age-dependent signals in vivo in lenses of both healthy human subjects and wild-type C57BL/6 mice. We hypothesize that cumulative alterations in the lens may constitute an in vivo biomarker of molecular aging.

Methods : Quasi-elastic light scattering (QLS) was used to measure age-dependent changes in vivo in lenses of 34 healthy human subjects without history of eye disease (18 males, 16 females; ages 5–61), and in unanesthetized wild-type C57BL/6 mice aged 3–22 months-old. We also examined time-dependent effects of in situ oxidation on QLS signals obtained from water-soluble human lens protein extract (hLPE) during long-term incubation in vitro.

Results : Our results indicated that aging related QLS metrics can be acquired noninvasively in human subjects and in unanesthetized mice. Age-dependent QLS signal changes detected in vivo in humans and mice recapitulated time-dependent changes in hydrodynamic radius, protein polydispersity, and supramolecular order of human lens proteins during long-term incubation (~1 year) and in response to sustained oxidation (~2.5 months) in vitro.

Conclusions : Our findings demonstrate that QLS analysis of lens proteins provides a practical technique for noninvasive assessment of molecular aging in vivo.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

×
×

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.

×