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Page 1: Analysis of phenotype changes of deposits in granular corneal … · 2019-06-28 · Diffuse haze,corneal opacity,Avellino,Granular corneal dystrophy type 2,area measurement. 3 Analysis

저 시-비 리- 경 지 2.0 한민

는 아래 조건 르는 경 에 한하여 게

l 저 물 복제, 포, 전송, 전시, 공연 송할 수 습니다.

다 과 같 조건 라야 합니다:

l 하는, 저 물 나 포 경 , 저 물에 적 된 허락조건 명확하게 나타내어야 합니다.

l 저 터 허가를 면 러한 조건들 적 되지 않습니다.

저 에 른 리는 내 에 하여 향 지 않습니다.

것 허락규약(Legal Code) 해하 쉽게 약한 것 니다.

Disclaimer

저 시. 하는 원저 를 시하여야 합니다.

비 리. 하는 저 물 리 목적 할 수 없습니다.

경 지. 하는 저 물 개 , 형 또는 가공할 수 없습니다.

Page 2: Analysis of phenotype changes of deposits in granular corneal … · 2019-06-28 · Diffuse haze,corneal opacity,Avellino,Granular corneal dystrophy type 2,area measurement. 3 Analysis

Analysis of phenotype changes of deposits in granular corneal dystrophy

type 2 and possible explanation for diffuse haze

Hong Seok Kim

Department of Medicine

The Graduate School, Yonsei University

Page 3: Analysis of phenotype changes of deposits in granular corneal … · 2019-06-28 · Diffuse haze,corneal opacity,Avellino,Granular corneal dystrophy type 2,area measurement. 3 Analysis

Analysis of phenotype changes of

deposits in granular corneal dystrophy

type 2 and possible explanation for

diffuse haze

Directed by Professor Eung Kweon Kim

The Master's Thesissubmitted to the Department of Medicine,the Graduate School of Yonsei University

in partial fulfillment of the requirements for the degree of Master of Medical Science

Hong Seok Kim

December 2015

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This certifies that the Master's Thesis of Hong Seok Kim is approved.

------------------------------------ Thesis Supervisor : Eung Kweon Kim

------------------------------------ Thesis Committee Member#1 : Tae-im Kim

------------------------------------Thesis Committee Member#2 : Nam Hoon Cho

The Graduate School Yonsei University

December 2015

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ACKNOWLEDGEMENTS

First of all, I really appreciate my thesis supervisor, professor

Eung Kweon Kim, for his great support and encouragement.

Without his support, this study would not be possible.

I also would like to appreciate professors Tae-im Kim and

Nam Hoon Cho who gave me experienced advices and warm

supports.

I would like to thank my family. My parents had raised me

the right way and always give me the greatest love. I am

honored to be their son. My adorable sisters, I wish everyone

could enjoy a relationship like we have. Lastly, Mi Jung Lee,

you have made my life everything I ever dreamed it would be.

Thanks to be with me. I give my love and admiration to them

from the bottom of my heart.

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<TABLE OF CONTENTS>

ABSTRACT ···································································1

I. INTRODUCTION···························································3

II. MATERIALS AND METHODS··········································5

1. Study design and population··········································5

2. Classification and area measurement of deposits···················5

3. Age and the area of deposits ··········································6

4. Factors associated with diffuse haze ·································7

5. Visual acuity and the area of deposits ·······························7

6. Statistical methods ·····················································7

III. RESULTS ·································································9

1. Baseline characteristics of the study population ······················9

2. Classification of each type of deposits ·······························11

3. Age and the area of deposits ··········································13

4. Relationship between each type of deposits ·························15

5. Risk factors associated with diffuse haze ····························18

6. Visual acuity and the area of deposits································21

IV. DISCUSSION ····························································22

V. CONCLUSION ···························································26

REFERENCES ·······························································27

ABSTRACT(IN KOREAN) ················································30

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LIST OF FIGURES

Figure 1. Classification and area measurement····················12

Figure 2. Age and the area of deposits ······························14

Figure 3. The relationship between each type of deposits ·······16

LIST OF TABLES

Table 1. Characteristic of study population ························10

Table 2. Paired eye study about the relationship between diffuse

haze and linear lesion ·················································17

Table 3. Risk factors associated with diffuse haze - logistic

analysis ··································································19

Table 4. The relationship between BCVA and each type of

deposits ··································································21

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ABSTRACT

Analysis of phenotype changes of deposits in granular corneal dystrophy

type 2 and possible explanation for diffuse haze

Hong Seok Kim

Department of Medicine

The Graduate School, Yonsei University

(Directed by Professor Eung Kweon Kim)

Background:Granular corneal dystrophy type 2 (GCD2) is a hereditary disease, which

is caused by an autosomal dominant Arg124His mutation in the

transforming growth factor–β induced gene (TGFBI). In GCD2, corneal

deposits appear as granular lesion, linear (lattice-like) lesion and diffuse

haze. GCD2 has known to show profound differences in the severity of

phenotype. TGFBIp is understood to be the main substance forming

various types of deposits. But there are no studies that explain the

development of TGFBIp into 3 types of deposits. TGFBIp is thought to

be generated in epithelial cell and move gradually to deep stroma

forming deposits in various levels. Linear lesion is considered to be

formed with the degraded TGFBIp fragments. Diffuse haze is formed

with the undegraded TGFBIp. Late onset developing of diffuse haze

demonstrates the possibility that an increase of age is associated with

decrease of the ability of degrading TGFBIp.

Methods:We retrospectively reviewed the records and slit-lamp photographs of

533 patients with GCD2. All patients were diagnosed as being GCD2

heterozygous by DNA analysis from peripheral blood. Deposits were

classified into granular lesion, linear lesion and diffuse haze. We

evaluated the area of each type of deposit using inForm® software

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(Perkin Elmer, Inc, Waltham, MA, USA), and the tendency of the area of

each type was investigated according to age. The correlation among the

area of 3 types was analyzed. To study the relationship between diffuse

haze and linear lesion especially, we evaluated the difference of the

amount of the diffuse haze in proportion of the linear lesion (paired eye

test). The relationship between visual acuity and the area of each type

was also evaluated.

Results:

For all types of deposits, the area had an increasing tendency with age

(all for p<0.001). In detail, the area of diffuse haze increased in earnest

since 40’s. Linear lesion showed a tendency of increase until 40’s, but

this tendency of increase stopped from 40’s. The area of diffuse haze and

linear lesion significantly showed negative correlation (Pearson

correlation coefficient; -0.10, p=0.04). Diffuse haze also had negative

correlation with linear lesion between granular and linear lesion (Pearson

correlation coefficient; -0.15, p<0.01). In paired eye study, there was

statistically significant negative tendency showing that cornea with more

linear lesion had less area of diffuse haze than apposite eye (p<0.001). In

logistic analysis, the group with larger linear lesion between granular and

linear lesion significantly had less diffuse haze comparing to the group

with smaller linear lesion (adjusted OR=0.50, p=0.02). In 3 types of

deposits, diffuse haze had the worst effect on visual acuity.

Conclusion:

In GCD2, diffuse haze is the main cause of visual impairment and

formed mostly after 40’s. This late onset formation is associated with the

stop of the linear lesion formation, and this association would suggest

that decline of the degradability of TGFBIp in corneal cells with age

might be related with the formation of diffuse haze.

----------------------------------------------------------------------------------------

Key words :

Diffuse haze, corneal opacity, Avellino, Granular corneal dystrophy type

2, area measurement

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Analysis of phenotype changes of deposits in granular corneal dystrophy type 2 and possible explanation for diffuse haze

Hong Seok Kim

Department of MedicineThe Graduate School, Yonsei University

(Directed by Professor Eung Kweon Kim)

I. INTRODUCTION

Granular corneal dystrophy type 2 (GCD2; Avellino corneal dystrophy or

combined granular-lattice corneal dystrophy) is a hereditary disease, which is

caused by an autosomal dominant Arg124His mutation in the transforming growth

factor–β induced gene (TGFBI).1,2 This disease expresses both the clinical and the

histological features of both granular and lattice dystrophy. Granular lesions are

the earliest and most common manifestations. Linear (lattice-like) lesions are

present in deeper stroma in some patients with granular lesions. Older patients

develop diffuse stromal haze at the superficial stroma between deposits. The

existence of transforming growth factor–β induced protein (TGFBIp) in deposits

of various corneal dystrophies by TGFBI mutation has been reported before.3 The

mechanisms of the formation of several kinds of the deposits, however, were not

known until now.

In the early stage, the intervening cornea between granular or linear lesions

remains clear without compromising vision. As diffuse stromal haze is usually

located centrally, it can negatively affect visual acuity seriously.4-6 Diffuse haze

can be the removed temporarily by phototherapeutic keratectomy (PTK) of 30-40

microns which can provide temporary vision improvement and postponement of

keratoplasty,7 but recurs later.

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Transforming growth factor–β induced protein (TGFBIp) comprises 683

amino acids with a predicted molecular mass of 68 kDa in its secreted form.

TGFBIp is an extracellular matrix protein that is expressed ubiquitously in various

tissues and organ systems.8 However in 5q31-linked corneal dystrophies, TGFBIp

is present in corneal deposits, and it is understood to be the main substance

forming various types of deposits.3 Karring et al.9 reported that the amyloid

deposits in lattice dystrophy contained TGFBIp fragment residues composed of

Y571-R588, and non-amyloid deposits in GCD2 contained intact TGFBIp.

Although authors did not analyze the component of amyloid deposits in GCD2, it

is probable that linear lesion of GCD2 is formed by TGFBIp fragment considering

that both lattice dystrophy and GCD2 are due to the mutation of TGFBI gene.

Linear lesion is considered to be composed of degraded TGFBIp with 20-30

amino acids.

In this study, we examined the area of 3 types of deposits from slit lamp

photographs of GCD2 heterozygotes and adopted age as a factor for the analysis

and the relationship among 3 types of deposits. In this paper, we hypothesized the

possible mechanism of diffuse haze formation in GCD2.

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II. MATERIALS AND METHODS

1. Study design and population

We reviewed the records of 533 patients with GCD2 who visited the

outpatient clinic in Yonsei University Hospital from 2005 through 2012.

DNA analysis was performed to confirm the clinical diagnosis of all subjects

as described previously.10,11 All patients were diagnosed as being GCD2

heterozygous by DNA analysis from peripheral blood. The patients who received

laser refractive surgery or had coexisting corneal disease that could affect corneal

opacity (e.g., history of ulcer, trauma, infectious keratitis, and etc.) were excluded.

All patients who were found to have double mutation in TGFBI were excluded

also. Designated ophthalmologists performed a structured slit-lamp examination

with slit photo (SL-D7; Topcon, Tokyo, Japan) to determine disease occurrence in

the anterior segment of the eye using same protocols and same slit lamp. The

slit-lamp photographs were taken at the first visit of each patient. Age, best

corrected visual acuity (BCVA), contact lens history, outdoor activity, medical

history and refractive error at the first visit of each patient were investigated.

This study was conducted in accordance with the ethical standards

maintained in the Declaration of Helsinki, and informed consents were obtained

from all participants. The study protocol was approved by the Severance Hospital

Institutional Review Board (4-2013-0809) at Yonsei University.

2. Classification and area measurement of deposits

Deposits were classified into 3 morphological types: granular lesion, linear

(lattice-like) lesion and diffuse haze. We classified each type of deposits based on

morphology in accordance with former study that our group reported previously.12

We analyzed slit-lamp photo images using inForm® software (Perkin Elmer,

Inc, Waltham, MA, USA) which were designed to be adjusted for the selection of

the each type deposits by training. This image analysis software had been used

primarily in the area of pathology to identify the specific deposits as the automatic

way after several times trial of training to the software.13 After training of

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detection of several GCD2 deposits from several sclerotic scattered corneal photo

images, this software measured the area of selected lesion successfully enabling us

to establish the algorithm for detection of the each type of deposits in the inForm®

software.

To be in more detail using inForm®, firstly we drew an imaginary circle along

the limbus of sclerotic scattered corneal image with horizontal diameter as the

diameter of the imaginary circle representing cornea. Then using algorithm in this

software, we automatically selected 3 types of deposits from background clear

cornea. Because selection is imperfect, we checked the scanned and selected

image again and fixed them if the selected image is wrong in the classification of

the deposits or the area is miscalculated. Lastly, we regarded the calculated

percentage of area of each type of deposit based on cornea area as a reference of

100% as the magnification of the photos, which is not exactly same in all photos

can affect the representative area of each deposits, can affect the measured area of

each deposits.

Inform® provided not only the area of deposits but also the transparency of

the background color (reverse optical density value) of selected lesion. Optical

density is a value that shows how much light penetrates through the lesion.

Inform® software calculates the transparency of selected lesion in comparison with

background color. If the background color is dark, the lesion of high density

shows less number in value than the lesion of low density because the lesion of

high density rarely let the background color pass through the lesion. As all patients

in this study were native Koreans with irises of dark brown color, high density

lesion showed low transparency (high density= low transparency= low value in

reverse optical density).

3. Age and the area of deposits

Based on the data provided by inform®, the tendency of the area of each type

according to age was investigated. The degree of correlation between age and the

area of each type was analyzed. We also calculated the mean area for each decade,

and the tendency according to decades was evaluated. Despite the area of each

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type, the fraction of each type in the area of total deposits was calculated, and the

trend of the fraction was also evaluated.

4. Factors associated with diffuse haze

We evaluated the factors associated with the area of diffuse haze. The

relationship between the area of each type of deposits was investigated. To

evaluate which lesion is associated with diffuse haze between granular and linear

lesion, the area of granular of linear lesion divided by the sum of granular and

linear lesion was calculated. The degree of correlation was investigated with

Pearson correlation coefficient. Especially to investigate the relationship between

diffuse haze and linear lesion, we compared the difference of the amount of the

diffuse haze in proportion of the linear lesion with both eye in one person (paired

eye test).

To find out risk factor for diffuse haze, odds ratio for having larger area of

diffuse haze was calculated with logistic analysis. Age, gender, the area of

granular lesion and linear lesion, contact lens history, outdoor activity, diabetes

history, hypertension history and spherical equivalent was evaluated as possible

risk factors for diffuse haze.

5. Visual acuity and the area of deposits

To determine which type of deposit has the most powerful negative effect on

visual acuity, the relationship between BCVA and the area of each type was

evaluated. The degree of correlation between BCVA and the area of each type was

analyzed using logMAR scale. And the same method was used about the fraction

of each type in the area of total deposits.

6. Statistical methods

Basic characteristics of the study population were reported about each of

variables by descriptive statistics: population number and percentage were

mentioned for each variable. To prove difference of optical density of 3 types, we

used one-way ANOVA and performed Dunnet T3 test as post-hoc analysis. We

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used Pearson correlation test to evaluate the relationship between the area of each

type and age, and the same method was used about visual acuity. To analyze the

relationship between linear lesion dominant eye and diffuse haze dominant eye in

one person, Pearson chi square test was used. We used univariate and multivariate

logistic analysis to identify the risk factors for diffuse haze with the odds ratios

and 95% confidence interval. All statistical tests were two-sided and performed

with SPSS 19.0 software (IBM company, NY, USA).

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III. RESULTS

1. Baseline characteristics of the study population

Table 1 shows detailed baseline characteristics of the study population. The

mean (± standard error) age of the 533 participants (1066 eyes) at first visit was

41.6 ± 15.6 years. The youngest participant was 10 years old, and the oldest

patient was 89 years old. Of those participants, 65.7% were female. At first visit,

the average visual acuity by decimal scale was 0.77 ± 0.26. Visual acuity was

diverse from 0.01 to 1.5.

In term of measured area using inForm®, the area of total deposits was 5.67 ±

4.73 in percentage based on cornea area as a reference of 100%. The area was very

diverse; the smallest area was 0.05, and the largest area was 26.70. In detail, the

area of granular lesion was 4.19 ± 3.45. The area of linear lesion was 0.72 ± 1.32.

And the area of diffuse haze was 0.76 ± 1.77.

The transparency of the deposit (reverse optical density value) measured by

inForm® was 0.49 ± 0.08 about granular lesion, 0.42 ± 0.10 about linear lesion,

and 0.61 ± 0.13 about diffuse haze. Transparency of the deposit of each type was

different with statistically significance (p<0.001). In this study, linear lesion has

the lowest transparency, and it means that linear lesion is the densest lesion while

diffuse haze is the least concentrated lesion.

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Table 1. Characteristic of study population

Total number of patients

Male / Female

Age at first visit (years, mean ± SD)

Visual acuity (decimal)

Area of total deposits (% based on cornea area)

Area of granular lesion

Area of linear lesion

Area of diffuse haze

Transparency of granular lesion

Transparency of linear lesion

Transparency of diffuse haze

533 (1066 eyes)

183 (34.3%) / 350 (65.7%)

41.6 ± 15.6 (10~89yrs)

0.77 ± 0.26 (0.01~1.5)

5.67 ± 4.73 (0.05~26.70)

4.19 ± 3.45 (0.05~17.60)

0.72 ± 1.32 (0~12.48)

0.76 ± 1.77 (0~20.60)

0.49 ± 0.08 (0.32~0.92)

0.42 ± 0.10 (0.14~0.86)

0.61 ± 0.13 (0.06~1.14)

(p<0.001)*

* by one-way ANOVA and Dunnet T3 test as post-hoc analysis

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2. Classification of each type of deposits

Figure 1 shows typical examples of each type of deposit in GCD2. Granular

lesion had coarse white texture and round shape (Fig. 1A). The location of

granular lesion was sub-Bowman’s layer level. Granular lesion connected with

adjacent diffuse haze and was thicker than that (Fig. 1C) as reported before.12 The

branches of linear lesion radiated out from the main deposit or trunks, which

appeared dense and white. Some had short side branches that were less than the

width of the trunk, and others had long side branches that were longer than that.

The location of linear lesion was deep stromal level apart from Bowman’s layer.12

Diffuse haze located centrally and occupied intervening cornea between granular

lesions (Fig. 1A). It had coarse and misty texture and seemed amorphous. It

located anterior stroma shallowly in touch with Bowman’s layer (Fig. 1C).

We selected each type and measured the area and the transparency value with

inForm®. Transformed images were produced (Fig. 1B). In this case, the area of

granular lesion/linear lesion/diffuse haze were 7.17/0.42/6.23 (% based on whole

cornea area). Degree of background color transparency of granular lesion/linear

lesion/diffuse haze were 0.44/0.38/0.50 (Fig. 1B) showing linear lesion is dense

while diffuse haze is loose enough to permit background color to pass through it.

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Figure 1. Classification and area measurement A, Slit-lamp photograph showing each

type of deposit (black arrow; granular lesion, gray arrow; linear lesion, arrowhead; diffuse

haze). B, Transformed photos that we performed with inForm®. (blue; granular lesion,

green; linear lesion, yellow; diffuse haze). C, The FD-OCT image showing location of

each type of deposit. D, The location and direction of the FD-OCT scan is shown in a

video frame (white long arrow). A~D, The area of granular lesion/linear lesion/diffuse

haze were 7.17/0.42/6.23 (% based on cornea area). Degree of background color

transparency of granular lesion/linear lesion/diffuse haze were 0.44/0.38/0.50.

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3. Age and the area of deposits

Figure 2 provides the tendency of the area of each type according to age.

Granular lesion was made up from the beginning. The area of granular lesion

increased constantly with age (Pearson correlation coefficient; 0.43, p<0.001) (Fig.

2A, 2D, 2G). The trend of linear lesion was most distinctive. Linear lesion showed

an increasing tendency until 40’s, but this increasing tendency stopped from 40’s.

Pearson correlation coefficient was 0.27 (p<0.001) under 40 years, but it did not

show statistically significant change over 40 years (-0.08, p=0.07) (Fig. 2B, 2E,

2H). Diffuse haze had an increasing tendency with age (Pearson correlation

coefficient; 0.38, p<0.001). In detail, there is tiny area of diffuse haze before 40’s,

and the area increased in earnest since 40’s (Fig. 2C, 2F, 2I).

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Figure 2. Age and the area of deposits A~C, Scatter plot about the area of each type and

age. D~F, Box plot about the area of each type and age (by decade*). G~I, Box plot about

the fraction of each type in the area of total deposits. A, Pearson correlation coefficient

was 0.43 (p<0.001). B, Pearson correlation coefficient was 0.15 (p<0.001), but 0.27

(p<0.001) under 40 years and -0.08 (p=0.07) over 40 years. C, Pearson correlation

coefficient was 0.38 (p<0.001).

* Because of small number, 80’s were included in 70's.

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4. Relationship between each type of deposits

The area of granular lesion had positive correlation with the area of diffuse

haze (Pearson correlation coefficient; 0.20, p<0.001) (Fig. 3A). The area of diffuse

haze and linear lesion significantly showed negative correlation (Pearson

correlation coefficient; -0.10, p=0.04) (Fig. 3B). The area of granular lesion and

linear lesion did not show significant correlation (Fig. 3C).

Diffuse haze correlated positively with granular lesion between granular and

linear lesion (Pearson correlation coefficient; 0.15, p<0.01) (Fig. 3D). By contrast,

diffuse haze had negative correlation with linear lesion between granular and

linear lesion (Pearson correlation coefficient; -0.15, p<0.01) (Fig. 3E).

For more intensive study of the relationship between diffuse haze and linear

lesion, paired eye study was performed. Of all the participants, there were 75 cases

that right eye had larger area of linear lesion and smaller area of diffuse haze at the

same time. And there were 63 cases that left eye had larger area of linear lesion

and smaller area of diffuse haze at the same time. There were 24 cases that right

eye had larger area of both linear lesion and diffuse haze, and 20 cases that left eye

had larger area of both linear lesion and diffuse haze. According to this data, there

was statistically significant tendency that linear lesion dominant eye had smaller

area of diffuse haze than another eye (Pearson chi square value; 48.29, p<0.001)

(Table 2).

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F

G

Figure 3. The relationship between each type of deposits A~C, Scatter plot about the

area of each type of deposits. D, Scatter plot between diffuse haze and granular

lesion/granular+linear lesion. E, Scatter plot between diffuse haze and linear

lesion/granular+linear lesion. F, Pearson correlation coefficient between the area of each

type of deposits. G, Pearson correlation coefficient between diffuse haze and granular or

linear lesion divided the sum of both lesions.

Granular lesion Linear lesion Diffuse hazeGranular lesion -0.03 (p=0.54) 0.20 (p<0.001)Linear lesion -0.03 (p=0.54) -0.10 (p=0.04)Diffuse haze 0.20 (p<0.001) -0.10 (p=0.04)

Granular lesion/ Granular + linear lesion

Linear lesion/ Granular + linear lesion

Diffuse haze 0.15 (p<0.01) -0.15 (p<0.01)

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Table 2. Paired eye study about the relationship between diffuse haze and linear lesion

Diffuse haze dominant in OD

Diffuse haze dominant in OS

Linear lesion dominant in OD

24 75

Linear lesion dominant in OS

63 20

Pearson chi square value : 48.29 (p<0.001)

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5. Risk factors associated with diffuse haze

Table 3 provides the factors associated with diffuse haze with unadjusted

odds ratio (OR), adjusted odds ratio and the 95% confidence interval (CI). Most

positively associated factor with diffuse haze was age (OR=3.86, p<0.01). The

area of granular lesion was also positively associated (adjusted OR=2.41,

p<0.001).

Between granular and linear lesion, the groups having larger granular lesion

divided by the sum of both lesions (over 82.33%) statistically significantly had

more diffuse haze comparing to smaller granular lesion (under 64.91%) (adjusted

OR=1.99, p=0.02). The groups having larger linear lesion divided by the sum of

both lesions (over 35.09%) significantly had more diffuse haze comparing to

smaller linear lesion (under 17.67%) (adjusted OR=0.50, p=0.02).

In univariate logistic analysis, contact lens history was negatively associated

with diffuse haze (OR=0.24, p=0.01), and hypertension history was positively

related (OR=2.06, p=0.02). However, after adjustment with age and gender, lens

and hypertension history did not have significant relationship with diffuse haze.

Myopic group significantly had less diffuse haze comparing to emmetropic group

in spite of adjustment with age and gender. High myopic group (-6.00~-15.00D)

had the lower odds ratio (adjusted OR=0.06, p=0.01) than low to moderate myopic

group (adjusted OR=0.34, p<0.01).

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Table 3. Risk factors associated with diffuse haze - logistic analysis Outcome variable; smaller area of diffuse haze (=0, <0.95%) vs larger area of diffuse haze (=1, >0.95%)

ORα 95% CI p value adjusted ORβ 95% CI p value

Age (yrs)γ

10-49 1.0(ref)

50-59 1.78 (1.14-2.80) 0.01

60-69 3.82 (2.30-6.37) <0.001

70-89 3.86 (1.40-10.7) <0.01

GenderMale 1.0(ref)

Female 0.91 (0.60-1.38) 0.67

Granular lesion (%)δ

0-4.06 1.0(ref) 1.0(ref)

4.07-6.93 1.12 (0.71-1.77) 0.64 1.15 (0.71-1.85) 0.58

6.94-17.60 2.22 (1.39-3.53) 0.001 2.41 (1.47-3.96) <0.001

Linear lesion (%)δ

0-0.16 1.0(ref) 1.0(ref)

0.17-0.99 0.58 (0.37-0.92) 0.02 0.70 (0.44-1.13) 0.15

1.00-12.48 0.83 (0.52-1.31) 0.42 0.97 (0.60-1.56) 0.89

Granular lesion / granular + linear lesion(%)δ

0-64.91 1.0(ref) 1.0(ref)

64.92-82.32 2.50 (1.23-5.09) 0.01 2.37 (1.14-4.94) 0.02

82.33-100 2.16 (1.21-3.86) <0.01 1.99 (1.09-3.64) 0.02

Linear lesion / granular + linear lesion(%)δ

0-17.67 1.0(ref) 1.0(ref)

17.68-35.08 1.16 (0.69-1.94) 0.58 1.20 (0.70-2.04) 0.52

35.09-100 0.46 (0.26-0.83) <0.01 0.50 (0.28-0.92) 0.02

Contact lens history

No 1.0(ref) 1.0(ref)

Yes 0.24 (0.08-0.74) 0.01 0.37 (0.12-1.20) 0.10

Outdoor activityε

Low 1.0(ref) 1.0(ref)

High 0.74 (0.33-1.68) 0.48 0.91 (0.33-2.52) 0.86

Diabetes mellitus history

No 1.0(ref) 1.0(ref)

Yes 1.11 (0.47-2.65) 0.81 0.62 (0.25-1.54) 0.30

Hypertension history

No 1.0(ref) 1.0(ref)

Yes 2.06 (1.13-3.76) 0.02 1.53 (0.81-2.90) 0.19

Spherical equivalent (diopter)

-1.00~1.00 1.0(ref) 1.0(ref)

1.01~5.00 1.75 (0.75-4.06) 0.20 1.48 (0.61-3.62) 0.39

-1.01~-5.99 0.32 (0.17-0.60) <0.001 0.34 (0.18-0.67) <0.01

-6.00~-15.0 0.08 (0.01-0.61) 0.02 0.06 (0.01-0.53) 0.01

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α. Odds ratio (OR): the degree of risk to have larger area of diffuse haze. If OR is larger than 1.0, the degree

of risk to have diffuse haze is high. If OR is smaller than 1.0, the degree of risk to have diffuse haze is low.

β. Adjusted OR: adjusted value excluding the effects of age and gender.

γ. Because diffuse haze is few under 40 years, 10~49 years of age were decided as reference. Due to small

number, 80’s were included in 70's.

δ. The area of each lesion was divided by tertile. First tertile was decided as reference.

ε. High outdoor activity was defined as the people usually working outside and exercising outside more than

three days a week.

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6. Visual acuity and the area of deposits

Table 4 shows the relationship between BCVA and the area of deposits. All

types had significant positive correlation with BCVA using logMAR scale

(p<0.001 for all). However in analysis with the fraction of each type in the area of

total deposits, BCVA with logMAR scale decreased as increasing fraction of

granular lesion (p<0.001). The area of granular lesion increased with age, but the

fraction of granular lesion decreased with age (Fig. 2A, 2G). The cases having

large fraction of granular lesion was relatively young and had smaller area of total

deposits. So the granular lesion had good effect on visual acuity in comparison

with other lesions.

On the contrary, BCVA with logMAR scale increased as increasing fraction

of diffuse haze and linear lesion (p<0.001 for all). Pearson correlation coefficient

of diffuse haze fraction (0.29) was larger than that of linear lesion (0.09).

Therefore in 3 types of deposits, diffuse haze had the worst effect on visual acuity.

Table 4. The relationship between BCVA and each type of deposits

Pearson correlation coefficient with BCVA (logMAR)

p value

Total deposits 0.43 <0.001

Granular lesion 0.34 <0.001

Linear lesion 0.20 <0.001

Diffuse haze 0.33 <0.001

Granular lesion / total deposits (%)

-0.27 <0.001

Linear lesion / total deposits (%)

0.09 <0.001

Diffuse haze / total deposits (%)

0.29 <0.001

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IV. DISCUSSION

In cornea without wounding, the main source of TGFBIp is known to be

corneal epithelial cells so that TGFBIp is named as keratoepithelin also.14,15 In

GCD2, corneal deposits are mainly located in anterior stroma and exist through

deep stroma. Thus, we assume that TGFBIp generated in epithelial cell moves

gradually to deep stroma and forms deposits in various levels.

Karring et al9 reported that the amyloid deposits in lattice dystrophy

contained TGFBIp fragment residues composed of Y571-R588, serum amyloid

P-component, apolipoprotein E, apolipoprotein A-IV and clusterin. And they

reported that the non-amyloid deposits in GCD2 contained intact TGFBIp, serum

amyloid P-component, type III collagen, keratin 3, clusterin and histone H3-like

protein. They suggested that serine protease Htr (High-temperature requirement)

A1 was involved in the proteolytic processing of TGFBIp-derived amyloid.

Although authors did not analyze the component of amyloid deposits in GCD2, it

is probable that linear lesion of GCD2 is formed by TGFBIp fragment considering

that both lattice dystrophy and GCD2 are due to the mutation of TGFBI gene.

Taken together, it is possible that intact TGFBIp generated in epithelial cell form

non-amyloid deposits (granular lesion and diffuse haze) in anterior stroma and

some degraded form would move gradually to deep stroma and forms amyloid

deposits (linear lesion that contains degraded TGFBIp) after proteolysis by

enzymes.

The authors reported granular lesion was composed of intact TGFBIp mainly

with large molecular weight, and linear lesion was made up of degraded TGFBIp

with smaller molecular weight.9 In our study, the area of linear lesion was diverse

from 0 to 12.48% based on cornea area as a reference of 100% (Table 1). If linear

lesion is formed by degraded TGFBIp fragments, the case of larger area of linear

lesion is thought to have more TGFBIp production with average degradation

enzymatic ability or average TGFBIp production with higher degradation

enzymatic ability. So both degradability and producibility of TGFBIp should be

considered.

Our group presented in ARVO 2013 meeting as a poster showing that most of

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the deposits after the GCD2 heterozygote cases exacerbated after LASIK were in

granular forms and the degree of exacerbation after LASIK in GCD2 is positively

related with the area of the big granules made already before LASIK which can be

distinguished from the small interfacial granules made after LASIK. Thus, the

case having larger area of granular lesion seems to have higher producibility or

low degradability of TGFBIp. In this study, the area of granular lesion increased

constantly with age (Fig. 2A, 2D, 2G). As the deposits do not disappear or degrade

spontaneously, there is accumulative effect of the granules with age.

Linear lesion showed an increasing tendency until 40’s, but this increasing

tendency stopped from 40’s (Pearson correlation coefficient; 0.27, p<0.001 under

40 years, -0.08, p=0.07 over 40 years) (Fig. 2B, 2E, 2H). As we discussed above,

linear lesion can be considered to be associated with the ability to degrade

TGFBIp. So we can interpret our data as lowered degradability of TGFBIp after

40’s. On the other hand, there is tiny area of diffuse haze before 40’s, and the area

increased in earnest since 40’s (Fig. 2C, 2F, 2I). Considering the plateau of linear

lesion after 40’s, diffuse haze seems to be formed since the time of lowered

degradability of TGFBIp after 40’s.

This understanding can be bolstered with the relationship between diffuse

haze and linear lesion. The area of diffuse haze and linear lesion significantly

showed negative correlation (Pearson correlation coefficient; -0.10, p=0.04) (Fig.

3B). Diffuse haze had negative correlation with linear lesion between granular and

linear lesion (Pearson correlation coefficient; -0.15, p<0.01) (Fig. 3E). This

negative correlation was also shown in paired eye study; there was statistically

significant tendency that linear lesion dominant eye had smaller area of diffuse

haze than another eye (p<0.001) (Table 2). In addition, the groups having larger

linear lesion divided by the sum of granular and linear lesions (over 35.09%)

significantly had more diffuse haze comparing to smaller linear lesion (under

17.67%) (adjusted OR=0.50, p=0.02).

Thus, diffuse haze forms as the degradability of TGFBIp is lowered. This

lowered degradability of TGFBIp seems to be associated with the function of

keratocyte. Kim et al.16 reported the localization of mutant TGFBIp in lysosomes

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of keratocytes. Choi et al.17 reported TGFBIp was internalized by

caveolae-mediated endocytosis. The authors also reported that TGFBIp was

degraded in keratocyte by the manner of autophagy, and keratocyte in GCD2 had

lowered function of autophagy in comparison with normal group.18 They

suggested that the lack of autophagic clearance of TGFBIp in keratocyte may play

a critical role in the pathogenesis of GCD2. In addition, several studies suggested

keratocytes decline with age and in response to oxidative stress.19,20 The decline of

keratocytes with age explains the plateau of linear lesion and the increased area of

granular deposit and diffuse haze especially after 40’s in this study. Therefore, the

age related decline of keratocyte is considered as the reason of formation of

diffuse haze.

In GCD2, removal of diffuse haze with phototherapeutic keratectomy (PTK)

in old age has been known to increase the visual function.7 In our data, BCVA

with logMAR scale increased as increasing fraction of diffuse haze in the area of

total deposits (p<0.001) (Table 4). Diffuse haze had the worst effect on visual

acuity. Diffuse haze is important for the main target of treatment in GCD2. Up to

now, the treatment of GCD2 has been concentrated in surgery like PTK or deep

lamellar keratoplasty (DLKP).21 On the basis of our explanation for diffuse haze,

another treatment option of GCD2 that reduces oxidative stress on keratocytes and

enhances the degradability of TGFBIp needs to be considered.

We evaluated other factors associated diffuse haze (Table 3). Myopia was a

factor associated with diffuse haze. Myopic group had statistically significantly

less diffuse haze comparing to emmetropic group in spite of adjustment with age

and gender. Even though myopic group was relatively younger (mean age; 43.78

years) than emmetropic group (mean age; 50.73 years), myopic group still showed

significantly low odds ratio after age adjustment. Myopia is characterized by a

progressive elongation of eyeball via remodeling of scleral collagen. This

remodeling of collagen is associated with various factors like matrix

metalloproteinases.22 These factors might influence production or degradation of

TGFBIp, or deposit formation. Further studies are required to understand the

relationship between myopia and phenotype difference in GCD2. The fact that

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high myopic group (-6.00~-15.00D) had the lower odds ratio (adjusted OR=0.06,

p=0.01) than low to moderate myopic group (adjusted OR=0.34, p<0.01) needs

more study later. In univariate logistic analysis, contact lens and hypertension

history was related with diffuse haze but did not show significant relationship after

adjustment with age and gender.

We evaluated the area of deposits using inForm®. It is the image analysis

software used primarily in the area of pathology.13 In our knowledge, this is first

study using this software in ophthalmology. By using it, we could analyze large

amount of photo images over 1000 eyes automatically, and we think this method is

objective and highly reproducible. This software also provided the transparency

value of each type of deposits. In this study, linear lesion had the lowest

transparency value (0.42 ± 0.10, p<0.001), and it means that linear lesion was the

most whitened and concentrated lesion. As mentioned above, linear lesion is

considered to be formed with the degraded TGFBIp fragments. The fragments

having lower molecular mass could make up more concentrated lesion. On the

contrary, diffuse haze was the least concentrated lesion. It seems to be because

diffuse haze is formed with the undegraded TGFBIp.

There are some limitations of this study. Because we analyzed slit-photo

images, the depth of lesions could not be measured. We distinguished among three

types of deposits on the basis of morphology in accordance with former study

reported previously.12

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V. CONCLUSION

In conclusion, this study is the first to analyze more than 1000 eyes of GCD2

heterozygotes, and it is the first to study the pathogenesis of GCD2 with the area

of each type of deposits. In GCD2, diffuse haze is the main cause of visual

impairment and formed mostly after 40’s. This late onset formation is associated

with the stop of the linear lesion formation, and this association would suggest that

decline of the degradability of TGFBIp in corneal cells with age might be related

with the formation of diffuse haze. Although more studies are needed, we hope the

suggested explanation would be helpful for the direction of the study about

pathogenesis and treatment in GCD2 in the future.

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REFERENCES

1. Holland EJ, Daya SM, Stone EM, Folberg R, Dobler AA, Cameron JD,

et al. Avellino corneal dystrophy. Clinical manifestations and natural

history. Ophthalmology 1992;99:1564-8.

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et al. Kerato-epithelin mutations in four 5q31-linked corneal

dystrophies. Nat Genet 1997;15:247-51.

3. Korvatska E, Munier FL, Chaubert P, Wang MX, Mashima Y, Yamada

M, et al. On the role of kerato-epithelin in the pathogenesis of

5q31-linked corneal dystrophies. Invest Ophthalmol Vis Sci

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4. Forsius H, Eriksson AW, Karna J, Tarkkanen A, Aurekoski H, Frants

RR, et al. Granular corneal dystrophy with late manifestation. Acta

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5. Rodrigues MM, Gaster RN, Pratt MV. Unusual superficial confluent

form of granular corneal dystrophy. Ophthalmology 1983;90:1507-11.

6. Haddad R, Font RL, Fine BS. Unusual superficial variant of granular

dystrophy of the cornea. Am J Ophthalmol 1977;83:213-8.

7. Jung SH, Han KE, Stulting RD, Sgrignoli B, Kim TI, Kim EK.

Phototherapeutic keratectomy in diffuse stromal haze in granular

corneal dystrophy type 2. Cornea 2013;32:296-300.

8. Thapa N, Lee BH, Kim IS. TGFBIp/betaig-h3 protein: a versatile

matrix molecule induced by TGF-beta. Int J Biochem Cell Biol

2007;39:2183-94.

9. Karring H, Runager K, Thogersen IB, Klintworth GK, Hojrup P,

Enghild JJ. Composition and proteolytic processing of corneal deposits

associated with mutations in the TGFBI gene. Exp Eye Res

2012;96:163-70.

10. Kocak-Altintas AG, Kocak-Midillioglu I, Akarsu AN, Duman S.

BIGH3 gene analysis in the differential diagnosis of corneal dystrophies.

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Cornea 2001;20:64-8.

11. Klintworth GK. Advances in the molecular genetics of corneal

dystrophies. Am J Ophthalmol 1999;128:747-54.

12. Hong JP, Kim TI, Chung JL, Huang D, Cho HS, Kim EK. Analysis of

deposit depth and morphology in granular corneal dystrophy type 2

using fourier domain optical coherence tomography. Cornea

2011;30:729-38.

13. Welsh KJ, Risin SA, Actor JK, Hunter RL. Immunopathology of

postprimary tuberculosis: increased T-regulatory cells and

DEC-205-positive foamy macrophages in cavitary lesions. Clin Dev

Immunol 2011;2011:307631.

14. Dunaief JL, Ng EW, Goldberg MF. Corneal dystrophies of epithelial

genesis: the possible therapeutic use of limbal stem cell transplantation.

Arch Ophthalmol 2001;119:120-2.

15. Chiambaretta F, Pilon F, Deriot JB, Gerard M, Couleangon ML,

Schorderet DF, et al. Early recurrence of Groenouw type I corneal

dystrophy after phototherapeutic keratectomy. Molecular biology study

suggests epithelial genesis. J Fr Ophtalmol 2004;27:449-56.

16. Kim BY, Olzmann JA, Choi SI, Ahn SY, Kim TI, Cho HS, et al.

Corneal dystrophy-associated R124H mutation disrupts TGFBI

interaction with Periostin and causes mislocalization to the lysosome. J

Biol Chem 2009;284:19580-91.

17. Choi SI, Maeng YS, Kim TI, Lee Y, Kim YS, Kim EK. Lysosomal

trafficking of TGFBIp via caveolae-mediated endocytosis. PLoS One

2015;10:e0119561.

18. Choi SI, Kim BY, Dadakhujaev S, Oh JY, Kim TI, Kim JY, et al.

Impaired autophagy and delayed autophagic clearance of transforming

growth factor beta-induced protein (TGFBI) in granular corneal

dystrophy type 2. Autophagy 2012;8:1782-97.

19. Choi SI, Kim TI, Kim KS, Kim BY, Ahn SY, Cho HJ, et al. Decreased

catalase expression and increased susceptibility to oxidative stress in

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primary cultured corneal fibroblasts from patients with granular corneal

dystrophy type II. Am J Pathol 2009;175:248-61.

20. Berlau J, Becker HH, Stave J, Oriwol C, Guthoff RF. Depth and

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22. Wojciechowski R, Yee SS, Simpson CL, Bailey-Wilson JE, Stambolian

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ABSTRACT(IN KOREAN)

제2 과립각막 상 에 각막 탁 변 양상 과 앞 질

탁 생 전 제시

<지도 수 >

연 학 학원 학과

경:

제2 과립각막 상 (Granular corneal dystrophy type 2) TGFBI

전 에 Arg124His 변 가생 는 전 질 다. 제2

과립각막 상 각막 탁 3가지 태 나타나는

과립 탁, 격 탁 앞 질 탁 그것 다.

질 매우 다양한 정도 각막 탁 나타내는

것 알 져 다. TGFBIp는 각막 탁 하는 주

생각 고 다. 그러나 TGFBIp 다양한

태 각막 탁 만들어지는 원리는 아직 알 진 없었다.

TGFBIp는 각막상피 포에 생 각막 질 안쪽

동하는 과정에 해 는 정도에 라 3가지 종류 탁

하는 것 생각 다. 격 탁 해 TGFBIp

앞 질 탁 가 해 지 않 상태라고 볼 수

다. 앞 질 탁 젊 생 지 않고 나 가 어느

정도 들 후에 생 는 것 나 가 TGFBIp 해능

가능 제시한다.

:

제2 과립각막 상 533 전안 사진과 무

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후향적 하 다. 든 는 액검사를 통한 DNA

검사에 제2 과립각막 상 접합 진단 었다.

각막 탁 과립 탁, 격 탁, 앞 질 탁

류 었다. inForm® 프트웨어 (Perkin Elmer, Inc, Waltham, MA,

USA) 를 하여 각 종류 탁 적 측정하 고, 연 과

각 종류 탁 적과 계를 조사하 다. 각 종류 탁

적 어 연 갖고 는지 알아보 해

각각 계에 해 상 시행하 다. 앞 질 탁과

격 탁 적과 조사하 해, 한 사람에

양쪽 눈 격 탁 적 큰 눈 쪽에 비해

앞 질 탁 적 지 해 보았다. 시 과 각 종류

탁 적과 알아보았다.

결과:

든 종류 탁에 , 적 나 가 함께 가하는

경향 보 다 ( p<0.001). 체적 보 , 앞 질 탁

적 40 본격적 가하는 양상 보 고, 격

탁 40 지는 가하는 양상 보 나 그러한 경향

40 후 는 단 었다. 앞 질 탁과 격 탁

적 한 상 계를 가졌다 (피어슨 상 계수; -0.10,

p=0.04). 과립 탁과 격 탁 격 탁 차지하는

비 앞 질 탁 적과 통계적 하게

상 계를 보 다 (피어슨 상 계수; -0.15, p<0.01). 한 사람에

양쪽 눈 격 탁 적 큰 눈 쪽에 비해

앞 질 탁 적 경향 통계적 었다

(p<0.001). 지스틱 에 과립 탁과 격 탁

격 탁 많 적 에 비해 앞 질 탁 생

험도가 낮았다 (adjusted OR=0.50, p=0.02). 3가지 종류 탁

에 앞 질 탁 시 에 가 정적 향 미쳤다.

결 :

Page 39: Analysis of phenotype changes of deposits in granular corneal … · 2019-06-28 · Diffuse haze,corneal opacity,Avellino,Granular corneal dystrophy type 2,area measurement. 3 Analysis

32

제2 과립각막 상 에 앞 질 탁 시 저하 가

주 었 , 40 후에 주 었다. 앞 질

탁 런 늦 40 후에 격 탁 가하지

않는 것과 , 러한 나

TGFBIp 해능 감 가 앞 질 탁 원

시사한다.

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핵심 는 말 :

앞 질 탁, 각막 탁, 아 리 , 제2 과립각막 상 , 적

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