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. 2018 May 29;18:126. doi: 10.1186/s12886-018-0796-0

Decreased choroidal thickness in vitiligo patients

Serkan Demirkan 1,, Zafer Onaran 2, Güzin Samav 1, Fatma Özkal 2, Erhan Yumuşak 2, Özgür Gündüz 1, Ayşe Karabulut 1
PMCID: PMC5975446  PMID: 29843674

Abstract

Background

Vitiligo is a disease characterized by depigmented macules and patches that occur as a result of the loss of functional melanocytes from the affected skin through a mechanism which has not been elucidated yet. Destruction of pigment cells in vitiligo may not remain limited to the skin; the eyelashes, iris, ciliary body, choroid, retinal pigment epithelium and meninges may also be affected. This study aims to compare the choroidal thickness of patients with and without vitiligo using optical coherence tomography (OCT).

Methods

Spectral-domain optical coherence tomography (SD-OCT) (Retina Scan Advanced RS-3000 NIDEK, Japan) instrument (with λ = 840 nm, 27,000 A-scans/second and 5 μm axial resolution) was used for the imaging. Statistical analysis was performed using SPSS 21.0 software package.

Results

In all values except optic nevre area measurements, the choroidal thickness of all vitiligo patients was found out to be thinner compared to the control group.

Conclusions

In vitiligo, the choroidal thickness may be affected by the loss of melanocytes.

Keywords: Vitiligo, Choroidal thickness, OCT, VASI, Oculocutaneous disease

Background

Vitiligo is a disease characterized by depigmented macules and patches that occur as a result of the loss of functional melanocytes from the affected skin through a mechanism which has not been elucidated yet. The frequency of vitiligo throughout the world changes in the rate of 0.5–2% and does not vary depending on gender and race [13]. While vitiligo may occur at all ages soon after birth, the average age of onset is approximately 20 years [13].

The choroid is a vascularized and pigmented tissue which was first examined histologically in the 17th century and then tried to be visualized by various methods [4]. The choroid of the eye is a highly vascularized structure that supplies the outer retina and, histologically, consists of a thin choriocapillaris layer that is adjacent to the retinal pigment epithelium (RPE) and Bruch’s membrane, medium- and large-caliber vessels (known as Sattler’s and Haller’s layers, respectively), and a suprachoroidal layer, all embedded within a collagenous and elastic stroma along with melanocytes [5]. The choroidal changes in many ocular pathological conditions such as polypoidal choroidal vasculopathy and age related macular degeneration were reported [6]. Choroidal thickness changes has also previously been observed in many systemic inflammatory disorders [69].

Melanocytes in the eyes consist of neural crest cells that have migrated ventrally. These melanocytes are located in the uveal tract (choroid, ciliary body, and the iris). Especially the stroma of the choroid layer consists of a high number of melanocytes [5]. The melanin, which is produced in melanocytes in the choroid layer, has an important function in an area starting from the retina and extending to the visual cortex of the brain. Melanin, which is produced in melanocytes in the eye and stored in melanosomes, has a very important role in the protection of the eye from the intraocular reflections of the light [5].

Destruction of pigment cells in vitiligo may not remain limited to the skin; the eyelashes, iris, ciliary body, choroid, retinal pigment epithelium and meninges may also be affected [10]. Low choroidal thickness may be expected in vitiligo where melanocyte loss proceeds [10].

Although there have been many studies conducted to evaluate choroidal thickening in diseases that affected eye vasculature, limited research has been conducted on the diseases that affect melanocytes and another component of choroidal tissue, which remained under-researched. This study aims to compare the choroidal thickness of patients with and without vitiligo using optical coherence tomography (OCT).

Methods

This prospective clinical study addresses the examination of the bilateral eyes of (154 eyes). A total of 77 individuals, including 34 vitiligo and 43 non-vitiligo, were included in the study. This study was carried out between 2015 and 2016 in accordance with the tenets of the Declaration of Helsinki. The study protocol was approved by the Local Ethical Committee of the University of Kırıkkale. All patients and control subjects voluntarily participated in this study and signed an informed consent form.

Patients, who were diagnosed with vitiligo and were aged between 20 and 50 years, and non-vitiligo adults with similar characteristics participated in this study. VASI (vitiligo area severity index), which shows the depigmentation extent, was calculated in all vitiligo patients [11]. The percentage of the body area involved can be estimated by the so-called 1% rule or “palm method”. In both children and adults, the palm of the hand, including the fingers, is approximately 1% of the total body surface area (TBSA), and it describes hand unit [11]. For each body region, the VASI was determined by the product of the area of vitiligo in hand units and the extent of depigmentation within each hand unit–measured patch (possible values of 0, 10, 25, 50, 75, 90% or 100%). The total body VASI was calculated using the following formula considering the contributions of all body regions (possible range, 0–100):

VASI=AllBody SitesHand Units×Residual Depigmentation

All participants had a thorough ophthalmologic examination, uncorrected visual acuity, best corrected visual acuity, manifest refraction, cycloplegic refraction and slit-lamp examination. Intraocular pressures were measured with an air-puff tonometer. Dilated fundus examinations were performed using a 78 D lens.

Individuals with poor OCT quality having a history that may have affected the choroidal thickness, such as diabetes, cigarette use, hypertension, antihypertensive drug use, known atherosclerotic disease, pregnancy, macular degenerations, previous ocular surgery, choroidal pathology, glaucoma, high refractive error (patients with more than + 6 and −6 diopters as cycloplegic spherical equivalent), best corrected visual acuity below 20/25, and patients with a systemic other disease were not included in this study. Spectral-domain optical coherence tomography (SD-OCT) (Retina Scan Advanced RS-3000 NIDEK, Japan) instrument (with λ = 840 nm, 27,000 A-scans/second and 5 μm axial resolution) was used for the imaging.

Before evaluation, using EDI-OCT scanning, the central macular thickness was measured in the right eye of each patient. Choroidal and scleral boundaries were drawn with the assistance of software programs. Choroidal thickness was measured at the center of the fovea (SubF), and 500 μm nasally, temporally, superiorly and inferiorly (N1, T1, S1, I1), and 1500 μm (N2, T2, S2, I2) from the center of the fovea. The peripapillary region was measured 500 μm (N, T, S, I) from the center of the optic nerve. The averages of upper hemifield, lower hemifield, and whole hemifield of the peripapillary region were also measured (Fig. 1a, b). The foveal and parafoveal choroidal thickness was determined by measuring the region between the outer border of the retinal pigment epithelium layer and the sclero-choroidal interface manually. Measurements in the peripapillary area were carried out automatically with the instrument. The values of the right and left eyes of the patient and control group were separately specified and compared. All measurements are presented with median, minimum and maximum values.

Fig. 1.

Fig. 1

a, b The areas of choroidal thickness measurements

Statistical analysis was performed using SPSS 21.0 software package. Descriptive statistics were presented as a mean ± standard deviation. In comparisons between patient and control groups, the student’s t-test was applied to numerical data that followed a normal distribution, while the Mann-Whitney U test was applied to data that did not follow a normal distribution. The Pearson correlation test was applied to normally distributed measurements, and the Spearman correlation test was applied to data that did not follow a normal distribution. The statistical significance value was accepted as p < 0.05.

Results

Thirty four vitiligo patients and 43 individuals without vitiligo diagnosis were included in the study. The mean age of the vitiligo patients was 39.2 years, and the average age of the individuals in the control group was 39.3 years. Table 1 shows the age and sex distrubation, intraocular pressure, axial length, visual acuity, and refraction defect values of the patients and control group.

Table 1.

Age and sex distrubation, intraocular pressure, axial length, visual acuity, refraction defect values of the patients and control group

Patients (n:34)
(mean±)
Control group (n:43)
(mean±)
P value
Age 39.2 ± 16.14 39.3 ± 12.51 0.101*
Sex(F/M) 15:19 (44%:56%) 20:23 (46%:54%)
Right intraocular pressures 14.20 ± 3.31 15.00 ± 2.23 0.105*
Left intraocular pressures 14.55 ± 2.83 14.76 ± 2.09 0.347*
Axial length 23.57 ± 1.04 23.58 ± 1.22 0.960*
Right eyes visual acuity 0.07 ± 0.21 −0.01 ± 0.26 0.330*
Left eyes visual acuity 0.08 ± 0.22 0.06 ± 0.40 0.845*
Right eye refraction defect − 0.37 ± 1.00 0.00 ± 0.92 0.184*
Left eyes refraction defect −0.21 ± 0.97 − 0.01 ± 0.98 0.702*

*…Student’s t test

In all values except optic nerve area measurements, the choroidal thickness of all vitiligo patients was found out to be thinner compared to the control group (Table 2). Correlation between VASI values of vitiligo patients and age, duration of disease, and choroidal thickness were signed in Table 3.

Table 2.

Mean choroidal thickness in vitiligo patients and control group individuals

Patient (n:34) Control (n:43) P value
Mean ± SD Minimum Median Maximum Mean ± SD Minimum Median Maximum
Right, SubF 220.2 ± 39.8 170 224 290 261.4 ± 31.1 168 256 305 < 0.001**
Right, N1 223.6 ± 42.1 163 220 276 258.4 ± 32.5 190 248 302 < 0.001**
Right, N2 226.0 ± 39.2 130 220 340 261.5 ± 37.4 200 265 361 < 0.001*
Right, T1 220.5 ± 39.9 143 224 303 257.9 ± 34.2 139 257.5 311 < 0.001**
Right, T2 225.2 ± 41.1 109 220 280 253.4 ± 32.3 200 250 327 0.001*
Right, S1 222.9 ± 44.6 142 219 296 268.7 ± 38.1 198 271 289 < 0.001**
Right, S2 217.8 ± 40.8 151 219 301 259.1 ± 33.4 201 261 306 < 0.001**
Right, I1 223.4 ± 45.2 119 221 289 266.3 ± 37.0 136 264 321 < 0.001**
Right, I2 224.5 ± 45.2 117 226 340 265.9 ± 34.9 200 260 360 < 0.001*
Right optic nerve, LowH 95.0 ± 15.4 34 96 138 97.5 ± 7.9 80 97 118 0.429*
Right optic nerve, UpH 80.2 ± 16.8 43 81 128 77.1 ± 16.8 41 79 135 0.418**
Right optic nerve, WholP 98.9 ± 15.2 47 97 134 100.5 ± 8.1 54 101 126 0.805*
Right optic nerve, N 80.2 ± 16.8 54 77.5 126 77.1 ± 16.8 33 75 117 0.418**
Right optic nerve, T 68.9 ± 14.1 45 68 104 68.4 ± 15.5 29 69 99 0.689*
Right optic nerve, S 128.9 ± 25.3 59 132 168 129.4 ± 16.5 95 129 175 0.712*
Right optic nerve, I 118.9 ± 23.6 21 125.5 175 125.6 ± 17.0 79 125 165 0.230*
Left, SubF 222.7 ± 37.3 118 223 296 269.1 ± 31.0 129 267 305 < 0.001**
Left, N1 223.7 ± 38.5 105 224 301 271.7 ± 36.1 119 269 301 < 0.001**
Left, N2 228.2 ± 39.6 106 227 298 265.4 ± 35.8 129 267 311 < 0.001**
Left, T1 227.2 ± 42.2 164 226.5 380 308.2 ± 30.8 210 265 291 < 0.001*
Left, T2 235.4 ± 38.3 131 234 324 272.7 ± 35.7 176 275 329 < 0.001**
Left, S1 215.3 ± 40.2 126 216 305 257.2 ± 35.2 161 254 298 < 0.001**
Left, S2 220.0 ± 37.6 137 219 299 249.5 ± 48.2 148 251 324 0.005**
Left, I1 216.5 ± 38.0 139 218 301 262.3 ± 31.7 167 264 341 < 0.001**
Left, I2 222.2 ± 37.1 170 220 344 262.8 ± 31.9 210 260 350 < 0.001*
Left optic nerve, LowH 94.8 ± 12.2 59 95 141 95.5 ± 11.0 48 97 173 0.955*
Left optic nerve, UpH 122.6 ± 19.5 75 96 124 127.3 ± 16.3 77 93 125 0.255**
Left optic nerve, WholP 98.1 ± 12.0 70 99 125 100.2 ± 11.7 79 101 133 0.655*
Left optic nerve, N 75.6 ± 21.6 30 78 126 82.1 ± 23.7 27 78 174 0.432*
Left optic nerve, T 66.0 ± 18.1 35 61.5 106 65.0 ± 14.3 38 66 95 0.782*
Left optic nerve, S 128.4 ± 19.9 81 131.5 162 128.6 ± 20.5 76 131 178 0.951*
Left optic nerve, I 122.6 ± 19.5 89 122 169 127.3 ± 16.3 97 127 174 0.310*

*…Mann Whitney U test

**…Student’s t test

Table 3.

Correlation between VASI values of vitiligo patients and age, duration of disease, and choroidal thickness

VASI r p
Age Weak correlation 0.349a 0.043
Duration of disease Moderate correlation 0.555a < 0.001
Right fovea, horizontal Negative correlation −0.417a 0.014
Right nasal 500 Negative correlation − 0561a 0.001
Right nasal 1500 Negative correlation −0.381b 0.026
Left fovea, vertical Negative correlation −0.437a 0.010
Left superior 500 Negative correlation −0.481a 0.004
Left inferior 500 Negative correlation −0.484a 0.004
Left superior 1500 Negative correlation −0.356a 0.039
Left inferior 1500 Negative correlation −0.380a 0.027

a…Pearson correlation test

bSpearman correlation test

There was a negative correlation between age and choroidal thickness in some areas in patients. In patients and control groups, gender had an effect on the choroidal difference in none of the measured regions (p > 0.05). There was no correlation between duration of disease and choroidal thickness in all areas.

In those with higher VASI value, periorbital involvement was significantly more frequent. (p = 0.029). The frequency of periorbital involvement increased with the duration of the disease (p < 0.001). The periorbital involvement did not have an effect on choroidal thickness in patients with vitiligo. There was no statistically significant difference between those with and without periorbital involvement concerning age (p = 0.300).

Discussion

The stroma of the choroid layer consists of a high number of melanocytes [5]. Destruction of pigment cells in vitiligo may not remain limited to the skin; the eyelashes, iris, ciliary body, choroid, retinal pigment epithelium and meninges may also be affected [10]. A low choroidal thickness may be expected in vitiligo where melanocyte loss proceeds [10]. To our knowledge, this is the first study that examined the relation between choroidal changes and vitiligo in adulthood.

The choroid covers the outer retina and is among the most vascularized tissues in the body. This tissue supplies oxygen and nutrition to and provides temperature regulation for the retina. Also, choroid-containing melanocytes prevent intraocular reflections. In the eye, choroidal thickness may be affected by several factors, such as age, axial length, and refractive errors [12, 13]. A number of studies have found that choroidal thickness plays a prognostic or predictive role in various local (e.g., diabetic retinopathy), and systemic diseases (e.g., hypertension, anemia, rheumatoid arthritis and obesity) [1420].

In oculocutaneous albinism patients with melanocyte absence, the choroidal thickness in the subfoveal area was found to be significantly lower compared to the control group. However, no difference was found in the peripapillary region compared to the control group [21]. Choroidal thickness measurement was compared in a much higher number of regions in our study compared to the aforementioned study in which the lower choroidal thickness is also expected in vitiligo, which is another disease that proceeds with melanocyte loss [21].

Vogt-Koyanagi-Harada Diseaseis a bilateral granulomatous panuveitis associated with autoimmunity developed against melanocytes [22]. Patients with VKH increased choroidal thickness, which is probably due to exudation with inflammatory processes [23]. Invitiligo patients, the inflammatory process is chronic and exudative is not observed. Therefore, despite the presence of melanocyte destruction as it is in VKH, the increase in choroidal thickness of vitiligo patients is not expected.

The study conducted by Bulbul-Baskan et al. showed that eye pathology was observed in 10 of the 45 vitiligo patients. Their findings revealed that iris involvement in one patient, ring-like peripapillary atrophy around the optic nerve in seven patients, hyperpigmented rim in the left top segment of the retinal pigment epithelium in addition to peripapillary atrophy in one patient, focal hypopigmented dots in the temporal retinal area in one patient, and diffuse hypopigmentation in onepatient were observed [24]. Another study carried out with black patients with vitiligo, thin and dot-like pigmentary disturbances were identified in four of the 17 patients [25].

In the current study, we observed a significant reduction in OCT in all areas except optic nerve regions in the vitiligo patients. When we reviewed the relevant literature on this subject, we have not seen any published studies that would allow us to make a direct comparison regarding our findings. The lack of differences between the vitiligo patients and the control group in optic nerve regions may be because melanocytes occupy less space in the histological structure in the optic nerve regions.

Some studies maintained that gender and hormonal status may influence choroidal blood flow and lead to change in the choroidal thickness [26, 27]. However, in our study, it was observed that gender resulted the difference in choroidal thickness neither in the vitiligo patients group nor the control group.

Many authors have reported that the reasons for the differences in the choroidal thickness results between studies are different software programs for measurement, differences in the light source of the OCT, ethnic differences, differences in the age, refraction defects and axial length in the patient profile [1420]. However, since a comparison was made with the control group, and the characteristics of the patient and control group were similar, the findings suggest that comparison of the measurements resulted in useful data.

Conclusion

Melanin, which is produced in melanocytes in the eye and stored in melanosomes, has a very important role in the protection of the eye from the intraocular reflections of light. In this study, in all values except optic nerve area measurements, the choroidal thickness of all vitiligo patients was found out to be thinner compared to the control group.

The melanocyte amount in the choroidal layer in vitiligo should be studied in the future postmortem and in vivo studies.

Acknowledgments

Availability of data and materials

The data sets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CT

Choroidal thickness

EDI-OCT

Enhanced-depth imaging optical coherence tomography

I

Choroidal thickness at 500 μm inferior to the fovea

I1

Choroidal thickness at 500 μm inferior to the fovea

I2

Choroidal thickness at 1500 μm inferior to the fovea

LowH

LowerHemifield

N

Choroidal thickness at 500 μm nasal to the fovea

N1

Choroidal thickness at 500 μm nasal to the fovea

N2

Choroidal thickness at 1500 μm nasal to the fovea

OCT

Optical coherence tomography

RPE

Retinal pigment epithelium

S

Choroidal thickness at 500 μm superior to the fovea

S1

Choroidal thickness at 500 μm superior to the fovea

S2

Choroidal thickness at 1500 μm superior to the fovea

SD-OCT

Spectral-domain optical coherence tomography

SubF

Choroidal thickness at fovea

T

Choroidal thickness at 500 μm temporal to the fovea

T1

Choroidal thickness at 500 μm temporal to the fovea

T2

Choroidal thickness at 1500 μm temporal to the fovea

UpH

Upper Hemifield

VASI

Vitiligo area severity index

VKH

Vogt-Koyanagi-Harada

WholP

Whole peripapillary

Authors’ contributions

SD, GS, ÖGand AAK collected patients and control group for the study.ZO, FÖ, and EY made eye measurements.SD wrote and edited the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was carried out between 2015 and 2016 in accordance with the tenets of the Declaration of Helsinki. The study protocol was approved by the Local Ethical Committee of the University of Kırıkkale. All patients and control subjects voluntarily participated in this study and signed an informed consent form.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Serkan Demirkan, Phone: +90 5537717168, Email: serkan.demirkan@yahoo.com.tr.

Zafer Onaran, Phone: +90 5333593075, Email: drzaferonaran@yahoo.com.

Güzin Samav, Phone: +90 5544335835, Email: guzinsamav@gmail.com.

Fatma Özkal, Phone: +90 5056590443, Email: fatmaozkal@gmail.com.

Erhan Yumuşak, Phone: +90 5323719210, Email: erhanyumusak@yahoo.com.

Özgür Gündüz, Phone: +90 5354248275, Email: gunduzozgur@windowslive.com.

Ayşe Karabulut, Phone: +90 4404071-5405, Email: ayseanil3@yahoo.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data sets used and/or analysed during the current study are available from the corresponding author on reasonable request.


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