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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Introduction
The growing evidence that high levels of carotenoids in the diet and in blood plasma are associated with a lower risk for age related macular degeneration[15, 33] has lead to various attempts to measure the levels of macular pigment in vivo in order to create an individual risk profile [3, 9, 14, 25, 32, 42].
The macular pigment (MP) consists of lutein and zeaxanthin [8, 10, 37].These carotenoids cannot be synthesised by mammals, and are therefore of dietetic origin. They reduce the effects of chromatic aberration and have light-absorbing properties with absorption spectra in the 400–540 nm range, the maximum absorption occurring at approximately 460 nm, whereby they are believed to protect photoreceptor cells from light damage by absorbing shorter wavelengths [34]. Furthermore, the MP has a direct antioxidative effect by neutralising cytotoxic free radicals generated by the light absorption process [2, 20, 28].
The highest levels of lutein and zeaxanthin are measured in the centre of the fovea. The concentrations decrease with eccentricity—at about 2 mm distance from the centre little MP is detected. Histologically, the MP is mainly localised in the axons of the cone receptors and only 25% is in the rod and cone outer segments [31, 35]. Histological analyses showed that zeaxanthin levels decrease more steeply than those of lutein with increasing eccentricity. Zeaxanthin molecules prevail in the cones, lutein molecules in the rod outer segments, and thereby lutein is predominant in the perifoveal zone [9, 31, 36, 37].
On histological analyses a high degree of variation in the foveal and parafoveal distribution of MP between individuals with a range of MP between 200–900 µm was revealed. The predominant localisation of MP was in the inner foveal retina in the photoreceptor axons [29].
Flicker-photometric analysis and the absorption in autofluorescence (AF) images are thought to indicate the amount of MP. The lipofuscin granules at the level of the retinal pigment epithelium absorb blue light and emit it as green AF. In areas with MP the blue light is absorbed by the carotenoids. These areas show reduced light intensity on AF imaging. Because Robson et al. demonstrated a good correlation of results between psychophysical, flicker-photometric MP analysis and AF images with regard to peak density and spatial distribution [32], the values measured on AF analysis can be used to define the individual MP concentration.
Material and methods
Images of fundus AF were obtained in 400 persons between 41 and 90 years of age (mean 67.2 years) with and without macular disease using a confocal scanning laser ophthalmoscope, the Heidelberg retina angiograph (HRA). Among these were 168 male and 232 female probands; 253 showed signs of early age-related macula degeneration (AMD; drusen, RPE proliferation, atrophy) and 147 showed no signs of AMD. Eyes with central atrophic spots as well as those with central RPE proliferation were excluded from the study because these features affect the measurement of AF. In all subjects one eye was selected and levels of fundus AF were recorded. None of the subjects involved in the study had ever taken lutein or zeaxanthin supplementation.
Images of fundus AF were obtained after pupil dilatation, taking 12 images of each eye and aligning them to scale down artefacts resulting from eye movement. Anatomical landmarks such as retinal blood vessels were used as reference points for accurate alignment and averaging [40, 41, 42].
The HRA uses confocal laser scanning and detection technology to acquire digital images. An argon ion laser (488 nm wavelength) is used for investigation of AF. Barrier filters at 500 nm and 810 nm provide fluorescence light detection.
The intensity and spatial distribution of fundus AF is documented and it is presumed that the attenuation of the AF in the centre is proportional to the amount of blue light-absorbing MP.
In the centre of the fovea the AF usually is most strongly attenuated. In perifoveal sites the AF increases gradually, until finally the normal AF due to lipofuscin is measured.
Relative optical density values are derived from the mean grey scale intensity annularly around the fovea.
In order to analyse the topographic distribution of the MP with the help of fundus AF method the following computer program was designed:
First the upper and lower limits are defined. Then we stretch the intensities of the image’s pixels between these limits. The lower limit is determined by the average grey value of the 0.1% darkest pixels of the whole image. These pixels are localised inside the papilla or over a blood vessel. The upper limit is determined by the average grey value of the 5% brightest pixels of the whole image. If the image is evenly illuminated then these pixels are localised in circular fashion around the macula.
We then determine the average grey value of all pixels of the image that have the same distance to the fovea. We calculate the optical density by means of the following formula:
I Max is the upper limit in the normalised image; I Min is the lower limit in the normalised image; I is the averaged grey value for all pixels with a given distance to the fovea.
The values for OD are computed for all distances to the fovea (radii) from 0 to 160 pixels (roughly 9.3° radius). These values are afterwards displayed in a diagram. We averaged the pixels with all their neighbours within 1° radius before calculating the optical density.
Figure 1 shows an AF image and its optical density diagram that was obtained using this method. The distance (x-axis) is measured in pixels. Seventeen pixels are about 1°. The red line displays the averaged optical density at every distance. The green bars display its standard deviation, and the blue bars display its maximum and minimum optical density.
Four hundred eyes of 400 individuals were examined with AF imaging and the optical density values were computed.
To obtain a better comparability of the MP values uniformly in each picture the first measuring point is set at the centre of the fovea, the second mark is set at 8-pixel radius (i.e. 150 µm) and the plateau, the site where the MP is presumed to be absent, is set at 120 pixels (i.e. 2 mm in 30° pictures). Afterwards the maximum central MP value—this value was in former studies called the peak—and the MP value at 8-pixel radius are determined. Furthermore, the total amount of MP in 120 pixel (2 mm, 7°) radius (total MP volume) and also the amount of MP in the central 8-pixel (150-µm) radius (central MP volume) are computed as the volume of the optical density values in the regarded radius. The C/T ratio is calculated as (central MP volume):(total MP volume).
Results
The presented technique for measuring MP based on AF pictures of 400 probands showed variation of the distribution and amount of MP in the foveal and perifoveal sites. As van Kuijk et al. showed, the various spatial profiles of AF throughout the posterior pole can be divided into phenotypes 1–4 [38]. The presented method of analysis of MP concentrations offers a quantitative verification of the subjective classification of the different MP types.
Type 1
Type 1 shows a dark central hypofluorescence of greater than 150 µm radius surrounded by a lighter peripheral hypofluorescence (Fig. 2).
The optical density curve shows high central levels of MP, high central MP volume (volume of optical density values over 8-pixel radius) corresponding to the big dark spot seen in the AF image. These values and also the total MP volume are the highest of the four types (Tables 1, 2, 3, 4). Type 1 is most common in healthy subjects.
Type 2
Type 2 features lowered central MP and total MP and shows a central lowered AF of less than 150 µm radius surrounded by a lighter peripheral hypofluorescence (Fig. 2).
Compared to type 1, the optical density curve shows lower levels of central MP, a shallow curve progression, lower amounts of central MP volume and also lower amounts of total MP volume (Tables 1, 2, 3, 4).
Type 3
Type 3 has only central MP, no pericentral MP and typically has only a central hypofluorescence of less than 150 µm radius with no peripheral hypofluorescence distinguishable from the background (Fig. 2). The optical density curve shows a bend at the point where the central dark spot of the AF image ends and the peripheral AF begins. The total amount of MP is the lowest of the four types.
The C/T ratio is the highest of the four types, representing the fact that only central MP can be detected and almost no surrounding MP can be presumed (Tables 1, 2, 3, 4) .
Type 4
Type 4 shows no enhanced central hypofluorescence compared with pericentral hypofluorescence, but increased hypofluorescence in the macula relative to the background (Fig. 2).
The optical density curve shows the lowest central MP values and the lowest central MP volume. The C/T quotient also is the lowest of all four types, corresponding to the fact that only peripheral MP is observed and no central accumulation of MP is detected.
The subdivision into four types of MP based on distribution of fundus AF was found to be fully represented in the quantitative analyses of the grey scale values (Tables 1, 2, 3, 4).
Prevalence of MP types in healthy and AMD individuals
In healthy eyes without signs of AMD, type 1 prevails (76.2%) (P<0.0001). Subjects with AMD showed significantly more often types 2–4 with lower levels of MP than the healthy subjects did (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%) (Table 5).
In 80 individuals the MP distribution in the fellow eye was investigated. A symmetry of the MP distribution was found in 86%.
Discussion
Growing interest in the relationship between MP and the development or progression of AMD has lead to various attempts to assess MP[3, 9, 14, 25, 32, 42].
In recent studies the MP was measured employing psychophysical methods based on heterochromatic flicker photometry. These measurements assess the central maximum concentration compared with that in a reference location that lies beyond the lateral extent of MP [1, 2, 3, 4, 16, 17, 18, 22, 23, 30], but none of them reflect the spatial distribution of MP and its interindividual variability [19, 26, 27, 39] .The central concentration of MP does not always correlate with the total amount of MP an individual has [19, 26, 27, 32].
Currently the influence of irregular lipofuscin distribution in the RPE on analyses of the AF pattern cannot fully be assessed. Local hypofluorescence may be due to a high level of blue light-absorbing MP and/or it may be a consequence of decreased emission by locally reduced levels of lipofuscin. The amount and allocation of MP can be overestimated in AF imaging on the basis of absorption characteristics of melanin in the RPE or of haemoglobin or the crystalline lens. Effects of these variables have been investigated employing longer wavelengths that are not absorbed by MP (550 nm)[14]. The optical density of MP showed a positive correlation with the melanin density difference determined by reflectometry. The average overestimation in the MP densities was quantified arithmetically as 0.07±0.05 density units. This may influence the lower levels of MP on AF images, but because the standard deviation was relatively large in each group, the influence of an overestimation in eyes with lower MP should be limited.
In general, the close correlation between MP concentrations measured with the help of psychophysical methods and with AF imaging [25, 32] suggests that the dark areas of AF are primarily the consequence of absorption features of MP.
AF imaging can therefore be used to estimate the distribution of Mp in the human retina in vivo. The AF imaging offers a kind of map of MP distribution at the posterior pole. The darker foveal area in AF images of the posterior pole corresponds to the amount of MP present.
The investigation of the fundus AF and the quantitative analysis of the intensity of blue light absorption by MP gives us a reproducible and objective method for the assessment of MP. The current study shows a high degree of interindividual variability in terms of peak MP and distribution in healthy individuals as well as in those with AMD.
These findings support the basis for the grading system developed for phenotyping of MP into four types [38] and the morphological features of these four phenotypes were characterised in the quantitative analysis of grey-scale values. The four types show differences in central and paracentral MP distribution with decreasing concentration of MP from type 1 to the other types.
All images were analysed according to their morphological features, employing a modified grid as already known from analyses of different AMD stages [7, 13, 21]. This grid, reduced to a central ring of 150 µm radius, can be used to differentiate between the four phenotypes of MP distribution. Therefore, although the four phenotypes probably represent a continuous spectrum, the differentiation of the central amount and lateral extent of MP may describe specific properties of this spectrum and produce clusters of possible MP distribution.
Both eyes of one individual were examined in 80 persons and the MP distribution showed symmetry in 86% of cases. The intraindividual symmetry of the MP allocation is likely to reflect environmental or genetic attributes that regulate the amount and distribution of MP.
Prognostic implication of this study
Subjects with AMD showed significantly more often phenotypes 2–4 with lower levels of MP than healthy subjects did. A lower amount of MP seems to be associated with an increased risk of AMD development [1, 4, 11, 22, 23].These relationships have to be qualified in further studies.
Especially types 3 and 4 were found to be very rare in healthy subjects, whereas they were more often observed in the AMD group, which may indicate that types 3 and 4 represent a state of increased risk for AMD development. As biochemical studies showed that zeaxanthin is predominant in the foveal zone, type 4 may have a lag of zeaxanthin, while type 3 could have an amount of lutein that lies below the detectable level using the presented method. Whether supplementation of one of the carotenoids [5, 6, 12, 19, 24] may change morphological features of MP distribution will be investigated in the future.
Fundus AF analysis provides a fast, non-invasive method of assessing differences in MP density. The four phenotypes of MP distribution and their quantitative analysis may be used in further clinical studies to evaluate the specificity of the association between MP concentrations and status of AMD observed.
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Appendix: Analysis
Appendix: Analysis
Let F F (Λ,λ) and F P (Λ,λ) be the AF (Λ is the excitation wavelength, λ the emission wavelength) measured at the fovea and the perifovea, let D F and D P be the optical density of MP at both sites, and F* F (Λ,λ) and F* P (Λ,λ) be the fluorescence of all layers located posteriorly to the MP. We assume that all detected fluorescence has been affected by MP absorption and modify Delori’s formula as follows (as due to the broad band-pass barrier filter we measure all wavelengths from 500 to 720 nm that reach the detector, not just a single wavelength as used in recent studies [14] Furthermore, we consider the spectral responsivity S(λ) of the detector. Thus we can express the foveal and perifoveal fluorescence as:
Now we determine the logarithm of the quotient of Eq. 2 and Eq. 1:
Applying Beer’s law we get:
If we neglect the log term (\( F^{*}_{P} (\Lambda ,\lambda ) \approx F^{*}_{F} (\Lambda ,\lambda ) \) and D P (λ)≈0 and D F (λ)≈0 for most of the detected wavelengths) on the right side we get:
or
If we consider the extinction coefficient for Λ=488 nm we get:
Let C be the brightest spot on the image. Applying the rules of logarithm we can calculate:
This means we can calculate the optical density relatively to the brightest spot in each image. Then we have to subtract the optical density of the plateau from this value to get the optical density of the fovea relative to the plateau. First we determine the radial distribution of the optical density around the fovea. Since we want the location of the plateau to be variable, we normalise the optical densities to the brightest spot in the image and display it.
Now the plateau is marked. Using Eq. 8 we subtract the optical density of the plateau to get the values relative to the plateau. These values are evaluated, averaged, integrated and so on.
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Trieschmann, M., Spital, G., Lommatzsch, A. et al. Macular pigment: quantitative analysis on autofluorescence images. Graefe's Arch Clin Exp Ophthalmol 241, 1006–1012 (2003). https://doi.org/10.1007/s00417-003-0796-4
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DOI: https://doi.org/10.1007/s00417-003-0796-4