Literature DB >> 14618343

Macular pigment: quantitative analysis on autofluorescence images.

M Trieschmann1, G Spital, A Lommatzsch, E van Kuijk, F Fitzke, A C Bird, D Pauleikhoff.   

Abstract

BACKGROUND: Macular pigment (MP) reduces oxidative damage in the central retina and can be quantified by flicker-photometric analysis (HFP) of MP optical density. These analyses demonstrate a very good correlation with central absorption by MP on autofluorescence (AF) images. With these techniques different types of MP-distribution have been described. In the present study a quantification analysis of MP in AF images was developed to verify these MP types and to compare MP distribution patterns between healthy individuals and those with age-related macular degeneration (AMD).
METHODS: AF images (HRA) were analysed with respect to the area of central and paracentral absorption in 400 eyes with a computerised analysis program of MP optical density. The patients were between 41 and 90 years old (mean 67.2 years); 168 were male and 232 female, and 253 had early AMD and 147 showed no AMD characteristics. The central MP concentrations (peak) were measured, the amount of MP values within the first 8-pixel radius ("C"), the total amount of MP within a 120-pixel radius ("T") were calculated as the volume of the MP values over the regarded radius and the C/T ratio was registered.
RESULTS: Four types of MP distribution (type 1, intense central and paracentral MP; type 2, less intense central and paracentral MP; type 3, only central MP; type 4, only paracentral MP) were identified. The differences in MP distribution were confirmed and clearly characterised by quantitative analyses of peak, total MP ("T"), central MP ("C") and C/T ratio: mean peak in type 1, 0.65; type 2, 0.42; type 3, 0.42; type 4, 0.29; mean total amount of MP in 120-pixel radius ("T") in type 1, 5829.0; type 2, 4412.5; type 3, 2709; type 4, 4302.8. MP types with lower levels of MP were significantly more often observed in the AMD group (AMD: type 1, 120=47.4%; types 2-4, 133=52.6%; healthy eyes: type 1, 112=76.2%; types 2-4, 35=23.8%) ( P<0.0001)
CONCLUSIONS: Analysis of MP on AF images is a quantitative method for investigation of MP. With this method a wide variation in concentration and distribution of MP could be seen in the population. Four different types of MP distribution could be characterised and quantitatively distinguished. Reduced levels of MP seem to be associated with a higher risk of development of AMD as they were significantly more often observed in the AMD group. This strategy of quantitative MP analysis on AF images is easily practicable and may be used in further studies to investigate the role of MP as a potential risk factor for AMD.

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Year:  2003        PMID: 14618343     DOI: 10.1007/s00417-003-0796-4

Source DB:  PubMed          Journal:  Graefes Arch Clin Exp Ophthalmol        ISSN: 0721-832X            Impact factor:   3.117


  35 in total

1.  Macular pigment optical density measurement: a novel compact instrument.

Authors:  S Beatty; H H Koh; D Carden; I J Murray
Journal:  Ophthalmic Physiol Opt       Date:  2000-03       Impact factor: 3.117

2.  Quantitative evaluation of fundus autofluorescence imaged "in vivo" in eyes with retinal disease.

Authors:  N Lois; A S Halfyard; A C Bird; F W Fitzke
Journal:  Br J Ophthalmol       Date:  2000-07       Impact factor: 4.638

3.  Macular pigment density and distribution: comparison of fundus autofluorescence with minimum motion photometry.

Authors:  Anthony G Robson; Jack D Moreland; Daniel Pauleikhoff; Tony Morrissey; Graham E Holder; Fred W Fitzke; Alan C Bird; Frederik J G M van Kuijk
Journal:  Vision Res       Date:  2003-07       Impact factor: 1.886

4.  Distribution of individual macular pigment carotenoids in central retina of macaque and squirrel monkeys.

Authors:  D M Snodderly; G J Handelman; A J Adler
Journal:  Invest Ophthalmol Vis Sci       Date:  1991-02       Impact factor: 4.799

5.  Macular pigment and the colour-specificity of visual evoked potentials.

Authors:  J D Moreland; A G Robson; N Soto-Leon; J J Kulikowski
Journal:  Vision Res       Date:  1998-11       Impact factor: 1.886

6.  Absorption and tissue distribution of zeaxanthin and lutein in rhesus monkeys after taking Fructus lycii (Gou Qi Zi) extract.

Authors:  I Leung; M Tso; W Li; T Lam
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7.  Optical density of human macular pigment.

Authors:  P L Pease; A J Adams; E Nuccio
Journal:  Vision Res       Date:  1987       Impact factor: 1.886

8.  Dietary modification of human macular pigment density.

Authors:  B R Hammond; E J Johnson; R M Russell; N I Krinsky; K J Yeum; R B Edwards; D M Snodderly
Journal:  Invest Ophthalmol Vis Sci       Date:  1997-08       Impact factor: 4.799

Review 9.  The role of oxidative stress in the pathogenesis of age-related macular degeneration.

Authors:  S Beatty; H Koh; M Phil; D Henson; M Boulton
Journal:  Surv Ophthalmol       Date:  2000 Sep-Oct       Impact factor: 6.048

10.  Antioxidant status and neovascular age-related macular degeneration. Eye Disease Case-Control Study Group.

Authors: 
Journal:  Arch Ophthalmol       Date:  1993-01
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  29 in total

1.  Autofluorescence and optical coherence tomography findings in optic disc pit-associated maculopathy: case series.

Authors:  Mehmet Y Teke; Ufuk Elgin; Pinar Ozdal; Faruk Ozturk
Journal:  Int Ophthalmol       Date:  2011-12-13       Impact factor: 2.031

2.  Serum levels of macular carotenoids in relation to age-related maculopathy: the Muenster Aging and Retina Study (MARS).

Authors:  Burkhard Dasch; Andrea Fuhs; Joachim Schmidt; Thomas Behrens; Astrid Meister; Juergen Wellmann; Manfred Fobker; Daniel Pauleikhoff; Hans-Werner Hense
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2005-10-20       Impact factor: 3.117

3.  Autofluorescence characteristics of normal foveas and reconstruction of foveal autofluorescence from limited data subsets.

Authors:  R Theodore Smith; Jan P Koniarek; Jackie Chan; Takayuki Nagasaki; Janet R Sparrow; Kevin Langton
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4.  Macular pigment optical density measurement in autofluorescence imaging: comparison of one- and two-wavelength methods.

Authors:  M Trieschmann; B Heimes; H W Hense; D Pauleikhoff
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2006-12       Impact factor: 3.117

5.  Macular pigment measurements: which method should we use?

Authors:  Sebastian Wolf
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6.  The use of heterochromatic flicker photometry to determine macular pigment optical density in a healthy Australian population.

Authors:  Robin G Abell; Alex W Hewitt; Marko Andric; Penelope L Allen; Nitin Verma
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2014-01-05       Impact factor: 3.117

7.  Heritability of the spatial distribution and peak density of macular pigment: a classical twin study.

Authors:  R E Hogg; E L Ong; M Chamberlain; M Dirani; P N Baird; R H Guymer; F Fitzke
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8.  Resonance Raman imaging of macular pigment distributions in the human retina.

Authors:  Mohsen Sharifzadeh; Da-You Zhao; Paul S Bernstein; Werner Gellermann
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2008-04       Impact factor: 2.129

Review 9.  Measuring macular pigment optical density in vivo: a review of techniques.

Authors:  Olivia Howells; Frank Eperjesi; Hannah Bartlett
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-01-08       Impact factor: 3.117

10.  Foveal Abnormality associated with epiretinal Tissue of medium reflectivity and Increased blue-light fundus Autofluorescence Signal (FATIAS).

Authors:  Roberto dell'Omo; Serena De Turris; Ciro Costagliola; Gianni Virgili; Ricarda G Schumann; Matteo Cereda; Isabella D'Agostino; Ermanno dell'Omo; Ferdinando Bottoni
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2019-09-07       Impact factor: 3.117

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