July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Establishing a normative database to monitor mitochondria flavoprotein fluorescence in the retina
Author Affiliations & Notes
  • Grant L Hom
    Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, United States
  • Raffaele Raimondi
    Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, United States
  • Thais F Conti
    Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, United States
  • Jessica Hsueh
    Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, United States
    Case Western Reserve University School of Medicine, Cleveland, Ohio, United States
  • Rishi P Singh
    Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio, United States
  • Footnotes
    Commercial Relationships   Grant Hom, None; Raffaele Raimondi, None; Thais Conti, None; Jessica Hsueh, None; Rishi Singh, Alcon/Novartis (F), Apellis (F), Biogen (C), Genentech/Roche (F), Optos (C), Regeneron (F), Zeiss (C)
  • Footnotes
    Support  Unrestricted grant from the Research to Prevent Blindness Foundation to Cole Eye Institute
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 6080. doi:
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    • Get Citation

      Grant L Hom, Raffaele Raimondi, Thais F Conti, Jessica Hsueh, Rishi P Singh; Establishing a normative database to monitor mitochondria flavoprotein fluorescence in the retina. Invest. Ophthalmol. Vis. Sci. 2019;60(9):6080.

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

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Abstract

Purpose : Mitochondrial dysfunction has been an established precursor to cell death in retinal cells. Current imaging technology only allows for the detection of anatomical changes. Retinal metabolic analysis (RMA) is an emerging technology that may detect retinal diseases earlier by measuring flavoprotein fluorescence (FPF), an indicator of mitochondrial dysfunction. This study aims to build a normative database that highlights factors that should be considered when measuring FPF.

Methods : Patients were imaged in an IRB approved study at a single institution with an EIDON confocal scanner (Centervue, Padova, Italy) modified for RMA by inserting 458±2nm excitation and 535 nm emission filters, detecting a fluorescence spectrum from 520 to 540 nm. Patients were above the age of 18, had at least one healthy eye with no ocular pathology, and a phakic lens status. Pseudophakic patients were excluded due to limited knowledge of how lens status influences FPF. Patients were subcategorized by 10-year interval age groups. FPF score (average intensity) and curve width (intensity variance) were compared across age groups. A Kruskal-Wallis test was performed to determine statistical significance. FPF scores and curve width were analyzed with regression analysis against visual acuity (VA) and intraocular pressure (IOP) to determine the presence of an association between these values.

Results : 46 patients (57 eyes) were imaged and analyzed. Age breakdown by year included: 30-40 (n=4), 40-50 (n=5), 50-60 (n=9), 60-70 (n=21), and 70-80 (n=18). 27 (58.7%) participants were male and the average participant’s age was 62. FPF score means were significant among all groups (figure 1). Curve width was insignificant among all age groups (16.0, 18.4, 19.9, 20.2, 20.3 respectively, p = 0.15). R2 values were near 0 for all groups (FPF score vs VA, FPF score vs IOP, curve width vs VA, curve width vs IOP).

Conclusions : These results establish that age must be carefully considered when evaluating FPF average intensity results. However, curve width is insignificant among the age groups and is generally normal in the 16-20 value range. Establishing a database of normative FPF values will allow for better interpatient comparison of FPF scores and curve widths because numerous factors can potentially influence FPF values.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

The figure shows the mean FPF score by each 10-year age category (p<0.001 among all groups with Kruskal-Wallis test).

The figure shows the mean FPF score by each 10-year age category (p<0.001 among all groups with Kruskal-Wallis test).

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