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Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique. | LitMetric

Standardizing the Assessment of Macular Pigment Using a Dual-Wavelength Autofluorescence Technique.

Transl Vis Sci Technol

Nutrition Research Centre Ireland, School of Health Science, Carriganore House, Waterford Institute of Technology, West Campus, Waterford, Ireland.

Published: November 2019

AI Article Synopsis

  • The study aims to introduce MP optical volume (MPOV) as an effective measure for assessing macular pigment (MP) in the eye.
  • A total of 393 subjects were analyzed using advanced imaging technology to evaluate MPOV and its correlations with dietary intake of lutein and zeaxanthin, body mass index, and education level.
  • The findings suggest that MPOV is a reliable metric for MP assessment, indicating strong correlations with dietary factors and personal characteristics, and propose it as a preferred method in clinical and research settings.

Article Abstract

Purpose: It is essential to have an appropriate measure to assess macular pigment (MP) that can provide an accurate, valid, and reliable representation of the MP within the macula. The aim of this study was to describe and introduce MP optical volume (MPOV) as an optimal value for reporting MP.

Methods: Three hundred ninety-three subjects were analyzed using the Heidelberg Spectralis with the investigational MP optical density (MPOD) module to measure MPOV and MPOD at four foveal eccentricities (0.23°, 0.51°, 0.98°, 1.76° [7° as reference point]). Lutein (L) and zeaxanthin (Z) dietary intake and serum concentrations were evaluated.

Results: MPOV mean was 5094 (95%CI, 4877-5310); range: 527 to 10,652. MPOV was inversely correlated with body mass index and positively correlated with education ( = -0.156, = 0.002 and = 0.124, = 0.014, respectively). Serum concentrations of L and Z were positively correlated with MPOV ( = 0.422, < 0.001 and = 0.285, < 0.001, respectively). MPOV was positively correlated to MPOD at all measured eccentricities, with the strongest agreement at 1.76° ( = 0.906, < 0.001). Serum concentrations of L and Z, BMI, education, and age ( < 0.001) were found to be significant predictors of MPOV.

Conclusions: The Spectralis MPOV measurement provided a comprehensive and detailed evaluation of the MP profile. The Spectralis MPOV should be considered a preferred metric for the assessment of MP.

Translational Relevance: Applying a standardized method for the assessment and report of MP will allow to fully derive meaning from observational studies and to successfully implement this MP measurement technique in research and clinical settings.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6922273PMC
http://dx.doi.org/10.1167/tvst.8.6.41DOI Listing

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