Journal Pre-proof Distinct ocular surface soluble factor profile in human corneal dystrophies Rohit Shetty, Jagadeesh R. Naidu, Archana Padmanabhan Nair, Tanuja Arun Vaidya, Sharon D'Souza, Himanshu Matalia, Vrushali Deshpande, Swaminathan Sethu, Arkasubhra Ghosh, Koushik Chakrabarty PII:
S1542-0124(19)30233-2
DOI:
https://doi.org/10.1016/j.jtos.2019.11.007
Reference:
JTOS 454
To appear in:
Ocular Surface
Received Date: 13 July 2019 Revised Date:
30 September 2019
Accepted Date: 18 November 2019
Please cite this article as: Shetty R, Naidu JR, Nair AP, Vaidya TA, D'Souza S, Matalia H, Deshpande V, Sethu S, Ghosh A, Chakrabarty K, Distinct ocular surface soluble factor profile in human corneal dystrophies, Ocular Surface (2019), doi: https://doi.org/10.1016/j.jtos.2019.11.007. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Inc.
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Distinct ocular surface soluble factor profile in human corneal dystrophies
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Rohit Shetty, FRCS, PhD1*; Jagadeesh R Naidu, MSc2*; Archana Padmanabhan Nair
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MSc2; Tanuja Arun Vaidya, MSc2; Sharon D'Souza, MS1; Himanshu Matalia, MS1;
4
Vrushali Deshpande, PhD2; Swaminathan Sethu, PhD2; Arkasubhra Ghosh, PhD2,3,+;
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Koushik Chakrabarty, PhD2, #
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1
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India; 2GROW Research Laboratory, Narayana Nethralaya Foundation, Bengaluru,
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India;
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Department of Cornea and Refractive Surgery, Narayana Nethralaya, Bengaluru,
3
Singapore
Eye
Research
Institute,
Singapore;* Equal
contributors;
#
Corresponding author; + Co-corresponding author
11 12
Corresponding authors address
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Koushik Chakrabarty, PhD
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GROW Research Laboratory, Narayana Nethralaya Foundation,
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Narayana Nethralaya, Narayana Health City,
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# 258/A, Bommasandra, Hosur Road, Bangalore - 560 099, India.
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Email:
[email protected] ; Phone: +91-7411613923
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Arkasubhra Ghosh, PhD
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GROW Research Laboratory, Narayana Nethralaya Foundation,
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Narayana Nethralaya, Narayana Health City,
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# 258/A, Bommasandra, Hosur Road, Bangalore - 560 099, India.
22
Email:
[email protected]; Phone: +91-08066660712
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Short title: Tear cytokines in corneal dystrophies
24 25
Declaration of interest: None
1
26
Abstract
27
Purpose: Corneal dystrophies (CD) are classified as rare eye diseases that results in
28
visual impairment and requires corneal transplant in advanced stages. Ocular surface
29
inflammatory status in different types of CD remains underexplored. Hence, we
30
studied the levels of tear soluble factors in the tears of patients with various types of
31
corneal dystrophies.
32
Methods: 17 healthy subjects and 30 CD subjects (including epithelial, stromal and
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endothelial CD) were included in the study. Schirmer’s strips were used to collect the
34
tear fluid in all subjects. 27 soluble factors including cytokines, chemokines, soluble
35
cell adhesion molecules and growth factors were measured in the eluted tears by
36
multiplex ELISA or single analyte sandwich ELISA.
37
Results: Percentages of subjects with detectable levels of tear soluble factors were
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significantly higher in CD compared to controls. Significant higher level of IL-2 was
39
observed in both epithelial and stromal CD. IL-4, TGFβ1 and IgE were significantly
40
higher in stromal CD. VCAM, IL-13 and Fractalkine were significantly elevated in
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epithelial and macular CD. IL-1α, IL-8, IL-12, ANG, Eotaxin, MCP1, RANTES,
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ICAM1, L-selectin and P-selectin were significantly higher in epithelial CD. TGFBIp
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was significantly elevated in lattice CD and endothelial CD.
44
Conclusion: Distinct set of the tear soluble factors were dysregulated in various
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types of CD. Increase in tear inflammatory factors was observed in majority of the CD
46
subjects depending on their sub-types. This suggests a plausible role of aberrant
47
inflammation in CD pathobiology. Hence, modulating inflammation could be a
48
potential strategy in improving the prognosis of CD.
2
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Keywords: Corneal dystrophy; Tear fluid; TGFBIp; Inflammation; ELISA; Epithelial
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Corneal dystrophy; Granular Corneal dystrophy; Lattice corneal dystrophy; Macular
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Corneal dystrophy; Fuch’s endothelial corneal dystrophy.
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Abbreviations: Angiogenin (ANG); Corneal dystrophies (CD); Corneal stromal
53
dystrophy (SCD); Epithelial basement membrane dystrophy (EBMD); Extracellular
54
matrix (ECM); Fuch’s endothelial corneal dystrophy (FECD); Gelsolin (GSN);
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Granular corneal dystrophy (GCD),
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Intercellular Adhesion Molecule 1(ICAM1); Interferon gamma-induced protein 10
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(IP10); interferon-inducible T-cell alpha chemoattractant (ITAC); Lattice corneal
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dystrophy (LCD); Macular corneal dystrophy (MCD); Map dot fingerprint dystrophy
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(MDFPD); Monokine induced by gamma interferon (MIG); Monocyte Chemoattractant
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Protein (MCP)1; Regulated on Activation; Regulated on activation normal T cell
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expressed and secreted (RANTES); Transforming Growth Factor β1 (TGFβ1); TGFβ
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induced protein (TGFBIp); Vascular cell adhesion protein (VCAM).
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1. Introduction
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Corneal dystrophies (CD) are a heterogeneous group of rare hereditary disorders
65
characterized by bilateral abnormal deposition of insoluble material in the cornea
66
leading to visual impairment [1]. The disease is often progressive and clinically
67
categorized based on the anatomical locations of the abnormal deposits or opacities
68
and their gross phenotypic appearance in the cornea [1, 2]. The major types include
69
epithelial, stromal and endothelial corneal dystrophies, where specific gene mutations
70
are known to underlie their pathogenesis (Supplementary table 1). Epithelial
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basement membrane dystrophy (EBMD) and map dot fingerprint dystrophy (MDFPD)
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are some of the common corneal epithelial dystrophies [3-4]. The common stromal
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CD includes granular corneal dystrophy (GCD), lattice corneal dystrophy (LCD) and
Immunoglobulin (Ig) E; Interleukin (IL);
3
74
macular corneal dystrophy (MCD) [3-4]. Fuch’s endothelial corneal dystrophy (FECD)
75
is one of the more prevalent and studied endothelial CD [3-4]. The key pathological
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characteristic feature common among CD is extracellular protein aggregate formation
77
that presents as corneal opacities [5]. The distribution and intensity of these opacities
78
or aggregates contribute to vision impairment. Gene mutations have been implicated
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in the formation of protein aggregates that results in different types of CD [6-7].
80
The progression of CD to an advanced stage that requires corneal grafts happens
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over years [8]. The current strategies to manage CD are quite broad from no
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definitive treatment to corneal transplant based on the phenotype [8]. Although the
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genetic underpinnings of many CD are widely examined, therapeutic options for CD
84
are limited due to the little understanding of the disease pathophysiology and factors
85
affecting its progression. CD is traditionally viewed as non-inflammatory disease with
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no cellular infiltration and/or apparent vascularization of the affected cornea [1].
87
Nevertheless, there have been reports where inflammation modulation has improved
88
the prognosis of CD. Treatment with tropical steroids, autologous serum and artificial
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tears have been attempted to manage the stromal edema, guttae formation, epithelial
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erosion and endothelial pump functions under the assumption that an inflammatory
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milieu may be responsible for the exacerbation of the condition [9, 10,11]. Tear fluid
92
is a well-known noninvasive sample source to determine the ocular surface
93
inflammatory status [12-13]. It has proven to be useful in treatment planning and
94
disease monitoring [14-15]. Despite, the knowledge of altered tear film dynamics in
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CD [16-18], a detailed analysis of the tear film elucidating inflammatory factors which
96
are deregulated is not yet available, with only a report of decreased levels of tear
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cystatins in CD [19]. Therefore, we hypothesized that there may be specific subsets
98
of molecular factors influencing the inflammatory and pro-fibrotic pathways that cause 4
99
disease progression in addition to the underlying genetic trigger. This study was
100
designed to analyze a set of tear soluble factors to determine their relative
101
association with different types of CD as it can provide insights into new diagnostic
102
and management modalities.
103
2. Materials and methods
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This cross-sectional observational study was approved by the Narayana Nethralaya
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Ethics Committee and was conducted in adherence to the Indian Council for Medical
106
Research (ICMR) guidelines and the tenets of the Declaration of Helsinki. Written
107
informed consent was obtained from all participants prior to recruitment and tear fluid
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collection. All study subjects were recruited from patients visiting Department of
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Cornea and Refractive Surgery, Narayana Nethralaya, Bangalore, India. Clinical
110
examination included slit lamp examination with topographic and pachymetric
111
evaluation on the Pentacam HR (Oculus, Germany) and Orbscan (Orbtek, Bausch &
112
Lomb). In some cases, Anterior Segment Optical Coherence Tomography (Topcon
113
DRI Triton OCT, Japan) was carried out for clinical diagnosis.
114
2.1 Clinical cohort: A total of 30 CD patients diagnosed based on the criteria laid by
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International Committee for Classification of Corneal Dystrophies (IC3D) [2] and 17
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healthy volunteers were included for the study. GCD and LCD diagnosis were based
117
on the observation of granular and lattice opacities that are bilateral and often
118
asymmetric [5]. Subjects diagnosed with EBMD and MDFPD were taken together as
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epithelial corneal dystrophies (ECD). As a primary endpoint, we have determined the
120
levels of a set of soluble inflammatory factors in the tear fluid of patients with different
121
types of CD and compared them with healthy controls. Inclusion criteria were patients
122
with clinically confirmed corneal dystrophy. Exclusion criteria were the following: (i)
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CD patients who underwent prior refractive surgery or other ocular surgery; (ii) recent 5
124
use of topical medications in the last month; (iii) current ocular infection or clinical
125
signs of inflammation; (iv) subjects with other ocular surface or ocular co-morbidities;
126
(v) subjects with systemic disease. Tear fluid from a total of 48 eyes from 30 CD
127
patients and 18 eyes from 17 healthy volunteers were included in the study. ECD
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(n=4) subjects include EBMD (2 eyes, n=2) and MDFPD (2 eyes, n=2). SCD subjects
129
(38 eyes, n=23) include MCD (13 eyes, n=8), GCD (16 eyes, n=9) and LCD (9 eyes,
130
n=6). Endothelial corneal dystrophy included FECD (6 eyes, n=3). Table 1, shows the
131
demography of the subjects included in this study. There were no significant
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differences in age and sex between the control and patient groups.
133
2.2 Tear collection: Schirmer's strips (Whatman filter paper, 5 × 35-mm2, ContaCare
134
Ophthalmics and Diagnostics, India) were used to collect the tear fluid from the study
135
subjects by following Schirmer's test I protocol as previous described [20]. The
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collected strips were stored at -80°C until further use. Tear analytes were extracted
137
from Schirmer's strips by incubating the cut /shredded pieces of the strips in 300 µL
138
of ice-cold sterile 1xPBS for 1.5 hours at 4°C with agitation. The tear protein
139
containing eluate was separated from the pieces of the Schirmer’s strip by
140
centrifugation.
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2.3 Tear total protein measurements – Bicinchoninic acid assay (BCA assay):
142
Total protein concentration in the tear fluid was estimated by BCA assay (G-
143
Biosciences, USA) as per manufacturer’s protocol. Briefly, 25 µL of standard (Bovine
144
serum albumin, BSA) and samples (1:3 diluted) were added into respective wells.
145
200 µL of BCA working solution was added to each well, mixed and incubated at
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37°C for 30 min. Plate was brought to room temperature and absorbance measured
147
at 562 nm, using a multimodal plate reader (Spark 10M, Tecan, Austria). The
6
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absolute protein concentration in the tear samples were determined using a standard
149
curve.
150
2.4 Measurement of tear soluble / secreted factors: Cytokines, chemokines,
151
secreted cell adhesion molecules and growth factors were quantified in control and
152
patient tears by multiplex ELISA using cytometric bead array (BDTM CBA Human
153
Soluble Protein Flex Set System, BD Biosciences, USA). A total of 26 analytes (IL-1α
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IL-1β, IL-2, IL-4, IL-6, IL-8, IL-12/IL23p40, IL-13, IL-17A, IL-17F, IFNα, monokine
155
induced by gamma interferon (MIG), interferon gamma-induced protein 10 (IP10),
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interferon-inducible T-cell alpha chemoattractant (ITAC), Fractalkine, monocyte
157
chemoattractant protein 1 (MCP1), regulated on activation normal T cell expressed
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and secreted (RANTES), Eotaxin, Angiogenin, VEGF, TGFβ1, sVCAM, sICAM1, sP-
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Selectin, sL-selectin and IgE were measured by bead based multiplex ELISA using a
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cocktail of respective capture beads and detection antibodies. The assay was
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performed as per manufacturer's instructions using BD Human Soluble Protein
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Master buffer kit. The fluorescent signal intensity for each analyte was determined on
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flow cytometer (BD FACS Canto II, BD Biosciences, USA) using BD FACS DIVA
164
software (BD Biosciences, USA). The absolute concentration (pg/ml) for the various
165
analytes were determined using standard curve for the respective analytes using
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FCAP array V3.0 software (BD Biosciences, USA). Analytes that were not detected in
167
more than fifty percent of the study samples were excluded from the study. The
168
concentration of the analytes was normalized to the total protein concentration for
169
each tear sample and the concentration of each specific analyte is represented as
170
pg/µg of total protein.
171
2.5 ELISA based estimation of Tear Human Transforming Growth Factor beta
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induced protein (TGFBIp): TGFBIp was measured in tears of control and dystrophy 7
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cases using sandwich ELISA (Human TGFBIp/ (BIGH3) ELISA Kit, Thermo Scientific,
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USA) as per manufacturer’s instructions. Absorbance was measured at 450 nm using
175
a multimodal plate reader (Spark 10M, Tecan, Austria). The absolute concentration
176
was determined based on a standard curve. Further, the concentration of TGFBIp
177
was normalized to the total protein concentration for each tear sample and is
178
represented as pg/µg of total protein.
179
2.6 Statistical analysis: Distribution of data was determined using Shapiro-Wilk
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normality test. Statistical tests such as Mann-Whitney test and Kruskal–Wallis test
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were performed to determine the difference between the study groups. Spearman
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Rank correlation test was performed to study the relationship between the analytes in
183
the study. P value < 0.05 was considered to statistically significant. Software:
184
GraphPad Prism Version 6 (GraphPad Software, Inc, USA) and MedCalC version
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18.5 (MedCalc Software bvba, Belgium) was used for statistical analysis. The open-
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source
187
(https://orange.biolab.si/; Slovenia) was used for generating the heatmaps.
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3. Result
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3.1 Tear soluble factors level in corneal dystrophies
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Concentration of total protein in the tear fluid of CD patients was observed to be
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significantly higher compared with controls (Figure 1). Increase in total protein in
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tears of inflammatory and corneal allergic conditions has been reported [22, 23]. To
193
compensate for the variability in tear collection or extraction of protein from the
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Schirmer’s strips, the measured levels of soluble factors in the tears were normalized
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to total protein concentration in each sample [24,25]. The percentage of tear samples
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with detectable levels of soluble factors was observed to be significantly higher in CD
197
compared to controls (Figure 2). A total of 17/27 soluble factors were detected in
data
visualization
Heatmapper
software
[21]
and
Orange
8
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higher percentage in the tear samples of CD subjects compared to controls are
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shown in and Table 2. The levels of IL-2, IL-4, IL-8, IL-13, Angiogenin, Eotaxin,
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Fractalkine, IFNα, RANTES, ICAM-1, VCAM, P-selectin, TGFBIp, TGFβ1 and IgE
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were significantly higher in CD patients (Table 3). The median concentration of IL-1α,
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IL-1β, IL-2, IL-6, IL-8, IL-12, IL-13, ANG, Eotaxin, fractalkine, IFN-α, RANTES and
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VCAM was higher in ECD compared to other types of CD (Figure 3). The median
204
concentration of IL-1α, IL-2, IL-4, IL-8, IL-12, ANG, Fractalkine, IFN-α, RANTES,
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VCAM and IgE was significantly higher in MCD compared to FECD (Figure 3, Table
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5b and 6). In GCD, the median concentration of IL-1α, IL-4, IL-8, ANG and
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Fractalkine was found significantly higher compared to FECD (Table 5b and 6). In
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LCD, median concentration of IL-1α, IL-2, ANG, RANTES and VCAM was
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significantly higher compared to FECD (Table 5b and 6).
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3.2 Tear soluble factors level in epithelial corneal dystrophies
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In epithelial corneal dystrophies (ECD), a significant increase in levels of IL-1α, IL-1β,
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IL-2, IL-8, IL-12/ IL23p40, IL-13, ANG, Eotaxin, Fractalkine, IFN-α, MCP-1, RANTES,
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ICAM-1 VCAM, L-selectin, P-selectin, was observed compared to controls (Figure 3
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& Table 4). However, IL-4, IL-17A, TGFβ1 and IgE were observed to be below the
215
detection limit in the tears of ECD subjects, albeit detectable and measured in the
216
tears of controls and other corneal dystrophy subjects (Table 4 – 6).
217
3.3 Tear soluble factors level in stromal corneal dystrophies
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We observed that subjects with stromal corneal dystrophies (SCD) exhibited
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significantly higher level of tear IL-2, IL-4, IL-8, IL-13, ANG, Eotaxin, Fractalkine, IFN-
220
α, RANTES, ICAM-1, VCAM, TGFβ1 and IgE compared to the control (Table 5a).
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Furthermore, distinctly varying levels of tear soluble factors were seen within SCD
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(Granular corneal dystrophy – GCD, Lattice corneal dystrophy – LCD and Macular 9
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corneal dystrophy – MCD) as shown in Table 5b. Level of IL-2, IL-4, IL-17F,
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Fractalkine was significantly elevated in all the SCD types compared to controls.
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Levels of IFN-α was significantly higher in tear fluid of MCD and GCD (Figure 3m,
226
Table 5b). Although IFN-α level was high in LCD compared to controls, the difference
227
was not statistically significant. VCAM in MCD and LCD was found was significantly
228
higher compared to GCD (Figure 3o, Table 5b). Compared to control, significant
229
increase in TGFβ1 was found in GCD tear fluid with MCD tear fluid having the
230
highest fold change (Figure 3q, Table 5b).
231
3.4 Tear soluble factors level in EnCD
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The levels of the analytes measured in the tear fluid of EnCD patients were mostly
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lower than the controls (Table 6). Levels of IL-1β, IL-17F, IP-10, MIG were found to
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be significantly lower in EnCD compared to the controls except for TGFBIp, which
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was significantly elevated in EnCD compared with the controls (Table 6).
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3.5 Correlations and signature of tear fluid soluble factors in control and corneal
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dystrophies.
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The analytes correlated more significantly in CD (147 total correlations of which 3
239
correlated negatively) compared with the control (57 total correlations of which 3
240
correlated negatively). Statistically significant Spearman’s rank correlation coefficient
241
(r) was seen between TGFB1 and VEGF in CD. In CD, negative correlation existed
242
between ANG and IL-6 (r = -0.408). In addition, IgE negatively correlated with ICAM-
243
1 and IL-1β (r = - 0.3) in the CD group. In the control, negative correlation was found
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between RANTES and IL-8; MCP and MIG; and MIG and VCAM1 (Figure 4). Heat
245
map representation as depicted in figure 5 indicates the distinct tear soluble factor
246
signature present in various human corneal dystrophies. 10
247
4. Discussion
248
The key pathological hallmarks of corneal dystrophies are corneal erosion,
249
aggregation of misfolded proteins, guttae and edema formation depending on the
250
type of CD, which eventually cause visual compromise [26]. These pathologic
251
features are exacerbated due to ensuing inflammatory processes ultimately leading
252
to disease progression. Thus, unraveling the underlying inflammatory milieu in
253
various CD cases can expand our understanding of the disease pathobiology.
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This study was designed to test if dysregulated soluble inflammatory and signaling
255
factors such as cytokines, chemokines, cell adhesion factors, growth factors and
256
others [27-29] are associated with CD pathobiology. To this end, we used tear fluid to
257
evaluate the inflammatory mediators [30-33] which could be present in the ocular
258
surface. Our study revealed significant and distinct levels of pro-inflammatory
259
cytokines, IgE and growth factors in the tear fluid of CD patients compared to control
260
subjects. IL-4 and TGFβ1 levels were found to be unique across the different types of
261
CD with significantly high level in the SCD group which included GCD, LCD and
262
MCD. Here, our observation of significant increase of IL-4, considered to be an anti-
263
inflammatory cytokine in SCD group suggests a possible regulatory role for the
264
individual corneal cell types on cytokine production which can potentiate a local
265
expression of protective immune reactions in that specific corneal region
266
Indeed, the quantity of the bioactive tear soluble factors and their spatio-temporal
267
action has been shown to greatly influence their properties [35]. In this context, IL-4 is
268
also known to play a critical role in allergy by inducing immunoglobulin (Ig) isotype
269
switching in B cells and sustain IgE production [36]. An elevated level of IgE in tear
270
fluid is indicative of an allergic state [37]. We observed a marked elevation of IgE
271
levels in the CD group compared to the controls. Studies have shown IL- 4 mediating
[34].
11
272
many of the critical functions in epithelial cells and fibroblasts [38, 39]. IL-4
273
possesses the potential to partner with IL-13 towards inducing IgE production [40]
274
and inducing expression of other adhesion factors such as ICAM-1 [41]. TGFβ1 has
275
been shown to be essential in initiating corneal wound healing response [42]. Our
276
observation of increased TGFβ1 expression across the different SCDs could indicate
277
the scarring process in the diseased cornea which can be attributed to the context
278
specific capabilities of TGFβ1 [42].
279
We found significant increase in levels of IL-2, a critical cytokine involved in activating
280
T cells [43] in CD tears compared with the control. The importance of IL-2 in
281
promoting immune responses and its pivotal role in autoimmune diseases makes it a
282
prime addition as a diagnostic candidate for CD. Lowering IL-2 levels in CD can be
283
considered to be one of the strategies to decrease the inflamed or inhospitable
284
vascularized recipient corneal bed for enhancing the survival of corneal allografts
285
[44]. We report significant increase in the levels of IL-8, IL13, IFN-α, ANG,
286
Fractalkine, Eotaxin, RANTES, VCAM, P-selectin and ICAM, in the tear fluid of CD
287
patients providing further evidence of the critical inflammatory processes involved.
288
Both IL-1α and IL-8 levels was distinctively high in ECD tears suggesting
289
inflammation [45, 46] to be a major aspect of the disease process. Expression of
290
CXCR1 (3) (receptor for fractalkine) has been reported in the mammalian corneal
291
epithelia [47].
292
indicates its role in the possible modulation of the macrophages and dendritic cells
293
(DCs) in the diseased cornea. We also found other chemotactic factors such as IL-8
294
and RANTES to be dysregulated in ECD tears, which could be crucial participants in
295
prolonging the inflammation in ECD [48]. Differential expression pattern of cell
296
adhesion factors in inflamed human cornea has been previously demonstrated [49].
Our observation of increased fractalkine in ECD and MCD tears
12
297
Nameth et al [50] reported selective and increased expression of ICAM1 in stromal
298
corneal dystrophies (SCD) which corroborates with our observation of significantly
299
elevated levels of ICAM1 in the tear fluid of SCD and ECD. Furthermore, we found
300
the levels of another soluble cell adhesion molecule VCAM to be significantly
301
elevated in tears of ECDs and all the SCD types (GCD, LCD and MCD). Interestingly,
302
up- regulation of ICAM1 and VCAM expression in corneal fibroblasts has been
303
implicated on the pathogenesis of allergic keratopathy [51] suggesting their possible
304
role in CD pathogenesis. Li et al [52] reported that p-selectin is a significant
305
determinant in the events after corneal epithelial abrasions that contribute to wound
306
healing of the cornea. Our observation of significant elevation of p-selectin levels in
307
ECD tears hints to the possibility of its role in dysregulated healing response of the
308
corneal epithelia in ECD pathology. The levels of the various soluble factors
309
measured in the healthy subjects were comparable to those reported earlier [53, 54].
310
The variation in the concentration range for some of the factors could be attributed to
311
the platform used in the measurement of these factors, in addition to ethnic and age
312
variations. Further, it is important to note that the presence of these factors in normal
313
healthy subjects suggests their essential role in the maintenance of ocular surface
314
homeostasis [24]
315
The correlation within the analytes was relatively lesser in control subjects compared
316
to CD cases. The correlation between the analytes were predominantly positive in
317
both the cohorts, with the high to moderate correlation size in the control relative to
318
broader size range spanning from high to low in CD [55]. We found the heterodimeric
319
pro-inflammatory cytokine, IL-12 to have the highest correlation size in both the
320
cohorts. IL-12 correlated with IL-17F in the control (r 0.92) and with IL-13 in CD (r
321
0.83). Angiogenin (ANG) correlated negatively with IL- 6 and IgE in CD cohort. While 13
322
IgE negatively correlated with ICAM-1 and IL-1β in the CD cases. These correlations
323
are interesting in view of our observed significantly reduced levels of ANG in FECD
324
tears compared with the control. Although not statistically significant, the decrease in
325
ANG levels in FECD cases was quite distinct compared to the elevated levels of ANG
326
in ECD and SCD. This observation is important since reports indicate ANG to
327
facilitate corneal endothelial wound healing as a novel target for therapeutic
328
exploitation [56]. Incidentally, an ANG based pharmaceutical composition has been
329
patented to treat FECD [57]. Formation of guttae in FECD has been shown to affect
330
the migration of corneal endothelial cells (CEnC) [58] where IL- 17F has been shown
331
to play a crucial role in endothelial cell migration [59]. Interestingly, we found
332
significant reduction in IL-17F levels in FECD tear fluid which may reflect the effects
333
of the aberrant production of extra cellular matrix (ECM) proteins and guttae
334
formation observed in the FECD. Along with IL-17F we found IL-1β, IP-10, MIG levels
335
to be significantly reduced in FECD while the levels of IL-6, IL-8 and MCP-1
336
remained unchanged compared with the control. De Roo et al [60] reported
337
unchanged IL-6, IL-8 and MCP-1 levels in the aqueous humor of FECD patients
338
which corroborates with our observations. We found the levels of TGFβ1 to be
339
significantly increased in CD cases compared with the controls. TGFβ signaling has
340
been shown to be a major player in the extracellular matrix (ECM) deposit formation
341
[42] which in turn triggers the intrinsic apoptotic pathway leading to cell death in
342
FECD [61]. Reducing TGFβ levels have been demonstrated to effectively diminish
343
edema, reduce opacification and inhibit inflammatory cell infiltration [62]. Moreover,
344
TGFβ signaling has been shown to modulate TGFBIp expression [63] which is one of
345
the key proteins in the cornea [64]. We found TGFBIp levels significantly higher in
346
the tears of CD cohort compared with the control. In LCD (which arise from mutations
347
in the TGFBIp gene [65] ) tears, the expression of TGFBIp was significantly higher 14
348
compared with the control and other SCD, thereby indicating a distinct pattern of
349
TGFBIp levels in the tear fluid of different types of SCD. TGFBIp apart from being the
350
most abundant in the CEnC layer has been shown to be co-localized in the guttae,
351
which is a key pathological hallmark of FECD [66]. The pathogenic role of TGFBIp in
352
the formation of guttae [67] suggests that the analysis of FECD patient tear fluid for
353
TGFBIp expression might represent as an additional diagnostic tool reflecting the
354
status of the CEnC layer. Our observation of the pronounced and significant increase
355
in the inflammatory cytokines and fibrogenic factors in CD compared to the control
356
suggests modulating these factors may have therapeutic potential for CD.
357
5. Conclusion:
358
Observations from the current study demonstrate an altered, disease specific ocular
359
surface inflammatory profile in the tears of CD subjects. The aberrant inflammatory
360
factors could be associated with the progression of CD. Therefore, dampening ocular
361
surface inflammation may be used as a prophylactic strategy in retarding the CD
362
progression and/ or improving graft outcomes. In addition, our study highlights the
363
potential of tear fluid as an additional diagnostic tool for evaluating CD and its
364
objective monitoring.
365
6. Acknowledgements
366
This study is supported by the Narayana Nethralaya Foundation (NNF). KC is funded
367
by BT/PR26190/GET/119/118/2017 grant from the Department of Biotechnology,
368
Government of India, and Narayana Nethralaya Foundation (NNF). AG is funded by
369
EMR/2016/003624 grant from Science and Education Research Board (SERB),
370
Department of Science and Technology, Govt. of India. The authors thank Harsha
15
371
Nagaraj (Cornea consultant, Narayana Nethralaya, Bangalore) for his assistance in
372
collecting the tear samples.
373
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Figure Legends Figure 1: Total protein concentration in the tear fluid of controls and corneal dystrophy patients. The graph indicate the total protein concentration (µg/ml) in tear fluid of control subjects (18 eyes; n=17) and CD patients (48 eyes; n=30). Bar graph depicts Mean±SEM; ****P<0.0001, Mann-Whitney test; SEM - Standard error of mean. Ctrl - Controls; CD - Corneal Dystrophy. Figure 2: Percentage of tear samples with detectable levels of soluble factors in controls and corneal dystrophy patients. Bar graph depicts the percentage of tear samples with detectable levels of analytes in control subjects (18 eyes; n=17) and CD patients (48 eyes; n=30). Mean ±SEM; **P<0.001, Mann-Whitney test; SEMStandard error of mean (b) Graph depicts the percentage of tear samples with detectable levels of analytes in controls and corneal dystrophy. Figure 3: Significantly altered tear soluble factors in different types of corneal dystrophies. Box-and-whisker plots depict levels of analytes in the tear fluid of control subjects (18 eyes, n=17), epithelial corneal dystrophy (4 eyes, n=4), macular corneal dystrophy (13 eyes, n=8), granular corneal dystrophy (16 eyes, n=9), lattice corneal dystrophy (9 eyes, n=6) and Fuch’s endothelial corneal dystrophy (6 eyes, n=3). The boxes represent the 25th to 75th percentiles. The whiskers represent the lowest and highest value (pg/µg) and horizontal line within the box represent median values. Mean±SEM; *P<0.05, **P<0.01, ***P<0.001, ****P<0.0001, Kruskal-Wallis test. C - Controls; E - Epithelial Corneal Dystrophy; M - Macular Corneal Dystrophy; G - Granular Corneal Dystrophy; L- Lattice Corneal Dystrophy; F- Fuch’s Endothelial Corneal Dystrophy; ND - Not Detected; SEM - Standard error mean. Figure 4: Correlations patterns between the tear soluble factors in controls and CD. Heatmap depicts the correlation patterns among the analytes within the study 1
groups. Spearman’s rank coefficients (P<0.05) was used to generate the heatmap to determine the differences in the relationship within the analytes in controls and CD samples. The color green denotes positive correlation coefficient and the color red denotes negative correlation coefficient. Correlation coefficient color scale -1.0 in color green denote positive correlation coefficient and +1.0 in red color denote negative correlation coefficient. Figure 5: Tear soluble factors signature in different types of corneal dystrophies. The rows of the heatmap denote the different analytes measured in the tear fluid. The columns depict different samples of epithelial, granular, lattice, macular and Fuch’s corneal dystrophy. The color scale corresponds to the levels of analytes; with Min=0 and Max=214 arbitrary units. The grey color cell represents sample not run (NR). Figure 6: The schema indicates the sites of different types of corneal dystrophies and associated dysregulated tear factors. The upper panel depicts the anatomical location of the various corneal dystrophies. The lower panel lists the significantly altered tear factors in CD compared with the controls. This suggests plausible dysregulation of the ocular surface inflammatory status in CD and the potential to use anti-inflammatory agents in its management. Red up-ward arrow indicates analytes significantly increased levels compared with the controls. Blue down-ward arrow indicates analytes significantly decreased levels compared with the controls. Corneal epithelial cells (CECs); Epithelial corneal dystrophy (ECD); Granular corneal dystrophy (GCD); Lattice corneal dystrophy (LCD); Macular corneal dystrophy (MCD) are the Stromal corneal dystrophies (SCD). Corneal endothelial cells (CEnCs) and the Descemet’s membrane (DM) is affected in Fuch’s endothelial corneal dystrophy (FECD). 2
Table 1: Cohort characteristics Corneal dystrophy Control
N Age (Mean±SD) Sex (M/F) Total
17 30 ± 4 11/6 17
Epithelial
Stromal
Endothelial
EBMD/MDFPD 4
MCD 8
GCD 9
LCD 6
FECD 3
23 ± 8
31± 16
30 ± 11
21±22
43±10
1/3
3/5
4/2
1/2
3/6 30
Epithelial basement membrane dystrophy – EBMD; Map-dot-fingerprint dystrophy – MDFPD, Macular corneal dystrophy – MCD, Granular corneal Dystrophy – GCD, Lattice corneal Dystrophy – LCD, Fuch’s endothelial corneal dystrophy – FECD.
Table 2: Percentage of tear samples with detectable levels of the various analytes measured in controls and corneal dystrophy patients. Class
Cytokines & Chemokines
Soluble cell adhesion molecules
Growth factors and others
Analytes IL-1α IL-1β IL-2 IL-4 IL-6 IL-8 IL-12/IL-23p40 IL-13 IL-17A IL-17F ANG Eotaxin Fractalkine IFNα IP-10 ITAC MCP-1 MIG RANTES ICAM-1 VCAM L-selectin P-selectin TGFBIp TGFβ1
Ctrl 10/18 11/18 7/18 8/18 11/18 18/18 17/18 13/18 10/18 10/18 18/18 12/18 13/18 11/18 18/18 16/18 16/18 17/18 14/18 12/18 12/18 17/18 17/18 18/18 7/18
Detected % 56 61 39 44 61 100 94 72 56 56 100 67 72 61 100 89 89 94 78 67 67 94 94 100 39
CD 42/48 41/48 48/48 36/48 41/48 48/48 44/48 45/48 33/48 47/48 42/48 40/40 44/48 45/48 47/48 48/48 45/48 48/48 48/48 47/48 46/48 44/48 39/48 48/48 26/48
Detected% 88 85 100 75 85 100 92 94 69 98 88 83 92 94 98 100 94 100 100 98 96 92 81 100 54
VEGF IgE
18/18 9/18
100 50
47/48 34/48
98 71
Table shows the percentage of the analytes detected in the controls (18 eyes) and corneal dystrophy (48 eyes). Ctrl – Controls; CD – Corneal Dystrophy
Table 3: Concentration of tear fluid soluble factors in controls and corneal dystrophy patients Ctrl (pg/µg) Class
Cytokines & Chemokines
Soluble cell adhesion molecules
Growth factors & others
P value
FC (Ctrls vs CD)
0.040
ns
2
0.004
0.01
ns
1
1.29
0.15
0.94
****
16
0.001
0.07
0.02
0.03
****
35
0.001
0.007
0.09
0.04
0.014
ns
15
0.54
0.11
0.52
4.05
1.38
1.04
**
7
IL-12/IL-23p40
3.21
0.89
2.61
5.27
0.76
3.36
ns
2
IL-13
0.02
0.01
0.005
0.09
0.01
0.059
****
5
IL-17A
0.002
0.0004
0.002
0.01
0.003
0.002
ns
5
IL-17F
3.45
0.38
2.94
2.65
0.55
0.73
*
-1
ANG
311
48
259
8019
1982
1836
*
26
Eotaxin
0.04
0.02
0.006
0.14
0.02
0.091
**
3
Fractalkine
1.56
0.48
0.75
7.35
1.43
3.93
**
5
IFNα
0.02
0.01
0.003
0.1
0.02
0.06
***
5
Analytes
CD (pg/µg)
Mean
SEM
Median
Mean
SEM
Median
IL-1α
0.03
0.01
0.01
0.07
0.01
IL-1β
0.02
0.001
0.01
0.02
IL-2
0.08
0.04
0.005
IL-4
0.002
0.001
IL-6
0.006
IL-8
IP-10
71
21
54.37
699
344
28.25
ns
10
ITAC
5.12
1.19
5.15
4.64
0.58
3.11
ns
-1
MCP-1
0.49
0.18
0.08
0.59
0.09
0.34
ns
1
MIG
1.94
0.64
1.36
2.11
0.45
0.57
ns
1
RANTES
0.07
0.02
0.016
0.2
0.03
0.14
**
3
ICAM-1
6.58
2.59
0.61
20.32
3.9
11.76
**
3
VCAM
0.79
0.27
0.1
5.24
1.04
1.95
**
7
L-selectin
6.96
1.68
7.32
11.62
2.52
4.98
ns
2
P-selectin
0.78
0.31
0.15
1.09
0.24
0.5
*
1
TGFBIp
2.7
0.05
2.26
8.13
1.4
4.65
**
3
TGFβ1
0.18
0.05
0.11
12.63
2.59
6.94
****
69
VEGF
3.42
0.85
2.8
3.83
0.76
1.87
ns
1
IgE
0.09
0.06
0.01
53.36
8.7
37.23
****
589
Table showing the mean and median concentration of analytes (pg/µg) in tear fluid of control subjects (18 eyes, n= 17) and corneal dystrophy (48 eyes, n=30) patients. Ctrl – Controls; CD – Corneal Dystrophy; SEM –Standard error mean; FC –Fold change; ns –not significant; *P<0.05, **P<0.01, ***P<0.001, ****P<0.0001, MannWhitney Test (versus controls). Picogram and microgram denoted as pg and µg, respectively.
Table 4: Concentration of tear fluid soluble factors in epithelial corneal dystrophy patients
Mean
SEM
Median
Mean
SEM
Median
P value
IL-1α
0.03
0.01
0.01
0.18
0.01
0.19
**
FC (Ctrls vs ECD) 6
IL-1β
0.02
0.001
0.01
0.09
0.01
0.088
**
5
IL-2
0.08
0.04
0.005
1.66
0.07
1.72
***
22
IL-4
0.002
0.001
0.001
ND
ND
ND
na
na
IL-6
0.006
0.001
0.007
0.43
0.17
0.312
ns
71
IL-8
0.54
0.11
0.52
3.59
0.2
3.77
**
7
IL12/IL23p40
3.21
0.89
2.61
11.19
0.57
11.19
*
3
IL-13
0.02
0.01
0.005
0.16
0.01
0.159
***
9
IL-17A
0.002
0.0004
0.002
ND
ND
ND
na
na
IL-17F
3.45
0.38
2.94
5.57
0.27
5.61
ns
2
ANG
311
48
259
38677
4577
42462
**
124
Eotaxin
0.04
0.02
0.006
0.51
0.12
0.446
***
12
Fractalkine
1.56
0.48
0.75
15.87
1.17
15.5
**
10
IFN-α
0.02
0.01
0.003
0.17
0
0.17
***
8
IP-10
71
21
54.37
465
115
414.6
ns
7
ITAC
5.12
1.19
5.15
6.91
0.22
6.75
ns
1
MCP-1
0.49
0.18
0.08
1.17
0.07
1.2
*
2
MIG
1.94
0.64
1.36
3.51
0.26
3.43
ns
2
RANTES
0.07
0.02
0.016
0.25
0.01
0.24
**
4
ICAM-1
6.58
2.59
0.61
31.8
2.44
32.31
**
5
VCAM
0.79
0.27
0.1
10.14
0.42
10.41
**
13
L-selectin
6.96
1.68
7.32
23.4
2.2
23.33
*
3
P-selectin
0.78
0.31
0.15
5.27
1.23
3.98
**
7
TGFBIp
2.7
0.05
2.26
7.3
4.5
3.95
ns
3
TGFβ1
0.18
0.05
0.11
ND
ND
ND
na
na
VEGF
3.42
0.85
2.8
4.97
0.07
5.01
ns
1
IgE
0.09
0.06
0.01
ND
ND
ND
na
na
Ctrl (pg/µg) Class
Cytokines & Chemokines
Soluble cell adhesion molecules
Growth factors & others
Analytes
ECD (pg/µg)
Table shows the mean and median concentration of analytes (pg/µg) in tear fluid of control subjects (18 eyes, n= 17) and epithelial corneal dystrophy (4 eyes, n=4) patients. Ctrl – Controls; ECD – Epithelial Corneal Dystrophy; SEM – Standard error mean; FC – Fold change; ND – not detected; na – not applicable; ns – not significant; *P<0.05, **P<0.01, ***P<0.001, Mann-Whitney Test (versus controls). Picogram and microgram denoted as pg and µg, respectively.
Table 5a: Concentration of tear fluid soluble factors in stromal corneal dystrophy patients
Mean
SEM
Median
Mean
SEM
Median
IL-1α
0.03
0.01
0.01
0.07
0.01
0.047
ns
FC (Ctrls vs SCD) 2
IL-1β
0.02
0.001
0.01
0.02
0
0.012
ns
1
IL-2
0.08
0.04
0.005
1.37
0.19
0.96
***
18
IL-4
0.002
0.001
0.001
0.08
0.02
0.04
***
40
IL-6
0.006
0.001
0.007
0.06
0.04
0.017
ns
10
IL-8
0.54
0.11
0.52
4.72
1.72
1.13
**
9
IL-12/IL-23p40
3.21
0.89
2.61
5.43
0.85
3.45
ns
2
IL-13
0.02
0.01
0.005
0.1
0.02
0.06
***
6
IL-17A
0.002
0.0004
0.002
0.01
0.0034
0.003
ns
6
IL-17F
3.45
0.38
2.94
2.75
0.66
0.88
ns
-1
Ctrl (pg/µg) Class
Cytokines & Chemokines
Soluble cell adhesion molecules
Growth factors & others
Analytes
SCD (pg/µg) P value
ANG
311
48
259
9235
2866
2209
*
30
Eotaxin
0.04
0.02
0.006
0.11
0.01
0.09
**
3
Fractalkine
1.56
0.48
0.75
7.56
1.68
4.6
**
5
IFNα
0.02
0.01
0.003
0.12
0.03
0.07
**
6
IP-10
71
21
54.37
837
434
31.55
ns
12
ITAC
5.12
1.19
5.15
4.99
0.68
3.64
ns
-1
MCP-1
0.49
0.18
0.08
0.61
0.11
0.34
ns
1
MIG
1.94
0.64
1.36
2.28
0.54
0.68
ns
1
RANTES
0.07
0.02
0.016
0.22
0.03
0.15
**
3
ICAM-1
6.58
2.59
0.61
22
4.81
13.39
*
3
VCAM
0.79
0.27
0.1
5.51
1.26
2.39
**
7
L-selectin
6.96
1.68
7.32
12.1
3.09
5.44
ns
2
P-selectin
0.78
0.31
0.15
0.86
0.13
0.56
ns
1
TGFBIp
2.7
0.05
2.26
7
1.3
4.32
ns
3
TGFβ1
0.18
0.05
0.11
16
2.96
12.93
***
87
VEGF
3.42
0.85
2.8
4.29
0.94
2.12
ns
1
IgE
0.09
0.06
0.01
63.4
9.55
54.7
***
700
Table shows the mean and median concentration of analytes (pg/µg) in tear fluid of control subjects (18 eyes, n= 17) and stromal corneal dystrophy (38 eyes, n=23) patients. Ctrl – Controls; SCD – Stromal Corneal Dystrophy; SEM – Standard error mean; FC – Fold change; ND – not detected; na – not applicable; ns – not significant; *P<0.05, **P<0.01, ***P<0.001, Mann-Whitney Test (versus controls). Picogram and microgram denoted as pg and µg, respectively.
Table 5b: Concentration of tear fluid soluble factors in different types of stromal corneal dystrophy patients
Mean
SEM
Median
Mean
SEM
Median
P value
IL-1α IL-1β IL-2 IL-4 IL-6 IL-8 IL12/IL23p40 IL-13 IL-17A
0.03 0.02 0.08 0.002 0.006 0.54 3.21 0.02 0.002
0.01 0.01 0.005 0.001 0.007 0.52 2.61 0.005 0.002
0.07 0.03 1.26 0.12 0.11 2.86 4.83 0.07 0.01
0.02 0.01 0.26 0.04 0.08 1.59 1 0.01 0.01
0.03 0.009 0.9 0.04 0.01 0.78 2.79 0.04 0.011
ns ns ** ** ns ns ns ns ns
IL-17F ANG Eotaxin Fractalkine IFNα IP-10 ITAC MCP-1 MIG RANTES
3.45 311 0.04 1.56 0.02 71 5.12 0.49 1.94 0.07
0.01 0.001 0.04 0.001 0.001 0.11 0.89 0.01 0.000 4 0.38 48 0.02 0.48 0.01 21 1.19 0.18 0.64 0.02
FC (Ctrls vs GCD) 2 2 16 60 18 5 2 4 6
2.94 259 0.006 0.75 0.003 54.37 5.15 0.08 1.36 0.016
2.39 7556 0.12 6.08 0.08 861 4.36 0.48 1.67 0.18
0.97 2580 0.02 1.81 0.01 739 0.95 0.11 0.67 0.04
0.84 1569 0.09 2.71 0.056 38.14 3.08 0.3 0.59 0.14
*** ns ns *** * ns ns ns ns ns
Soluble cell adhesio n molecul es
ICAM-1 VCAM L-selectin P-selectin TGFBIp
6.58 0.79 6.96 0.78 2.7
2.59 0.27 1.68 0.31 0.05
0.61 0.1 7.32 0.15 2.26
21 3.53 9.03 1.04 5.7
8.72 0.97 2.81 0.25 1.8
11.07 1.65 4.28 0.49 3.98
Growth factors & others
TGFβ1 VEGF IgE
0.18 3.42 0.09
0.05 0.85 0.06
0.11 2.8 0.01
10.67 4.09 64.81
3.07 1.62 19.4
10.01 2.36 40.73
Ctrl (pg/µg) Class
Cytokin es & Chemok ines
Analytes
Mean
SEM
Median
P value
0.09 0.014 1.89 0.05 0.02 10 5.07 0.09 0.010
0.05 0.004 0.6 0.01 0.01 6 1.68 0.03 0.004
0.04 0.012 1.17 0.042 0.016 1.15 3.36 0.05 0.005
ns ns *** * ns ns ns ns ns
FC (Ctrls vs LCD) 3 1 25 25 3 19 2 5 5
-1 24 3 4 4 12 -1 1 -1 3
3.17 3857 0.1 7.21 0.09 1547 6.27 0.57 3.49 0.31
1.61 1769 0.02 3.64 0.03 1391 1.83 0.24 1.57 0.11
1.09 1950 0.093 3.27 0.059 47.4 3.99 0.32 1.11 0.18
** ns ns ** ns ns ns ns ns ns
ns ** ns ns ns
3 4 1 1 2
23 6.93 11.2 0.63 10.2
10 3.49 6.1 0.09 1.5
12.8 2.68 4.66 0.56 9.36
* ns ***
58 1 716
14 5 57
5 2 13
13.3 2.67 60.71
GCD (pg/µg)
Mean
SEM
Median
0.05 0.015 1.14 0.05 0.02 3.3 6.38 0.13 0.01
0.01 0.003 0.13 0.01 0.004 1.21 1.88 0.04 0.01
0.05 0.013 0.96 0.049 0.024 1.121 4.03 0.06 0.014
ns ns ** ** ns ns ** ns
FC (Ctrls vs MCD) 1 1 15 25 3 6 2 7 5
-1 12 2 5 4 22 1 1 2 4
2.93 3715 0.11 9.61 0.18 372 5 0.78 2.2 0.2
1.14 1226 0.02 3.84 0.06 177.7 1.05 0.23 0.84 0.05
0.88 2470 0.097 4.63 0.07 31.5 3.25 0.36 0.6 0.14
*** ns ns *** ** ns ns ns ns ns
-1 12 3 6 8 5 1 2 1 3
ns ** ns ns *
3 9 2 -1 4
23 7 16 0.75 7
6.88 3 7 0.14 3
13.3 2.65 5.65 0.64 3.35
ns * ns ns ns
3 9 2 1 3
* ns **
74 1 628
23 4.16 65
6 1.29 13
20.66 2.12 68.21
*** ns ***
123 1 723
LCD (pg/µg)
MCD (pg/µg) P value
Table describes the mean and median concentration of analytes (pg/µg) in tear fluid of control subjects (18 eyes, n=17), granular corneal dystrophy (16 eyes, n=9), lattice corneal dystrophy (9 eyes, n= 6) and macular corneal dystrophy (13 eyes, n=8). Ctrl – Controls; GCD – Granular Corneal Dystrophy; LCD – Lattice Corneal Dystrophy; MCD – Macular Corneal Dystrophy; SEM – Standard error mean; FC – Fold change; ns – not significant; *P<0.05, **P<0.01, ***P<0.001, Mann-Whitney Test (versus controls). Picogram and microgram denoted as pg and µg, respectively.
Table 6: Concentration of tear fluid soluble factors in endothelial corneal dystrophy patients Class
Cytokines & Chemokines
Soluble cell adhesion molecules
Growth factors & others
Ctrl (pg/µg)
EnCD (pg/µg)
P value
FC (Ctrls vs EnCD)
ns
-7
0.0014
**
-12
0.02
0.55
ns
7
0.003
0.0006
0.003
ns
1
0.007
0.0006
0.0002
0.0006
ns
-11
0.11
0.52
0.11
0.03
0.11
ns
-5
3.21
0.89
2.61
0.47
0.11
0.48
ns
-7
IL-13
0.02
0.01
0.005
0.014
0.0033
0.013
ns
-1
IL-17A
0.002
0.0004
0.002
0.0004
6E-05
0.0003
ns
-5
IL-17F
3.45
0.38
2.94
0.12
0.02
0.13
***
-28
ANG
311
48
259
15.6
3.62
17.14
ns
-20
Eotaxin
0.04
0.02
0.006
0.0204
0.0027
0.019
ns
-2
Fractalkine
1.56
0.48
0.75
0.51
0.03
0.49
ns
-3
IFNα
0.02
0.01
0.003
0.014
0.0037
0.01
ns
-2
IP-10
71
21
54.37
2.19
0.4
2.18
*
-32
ITAC
5.12
1.19
5.15
0.85
0.12
0.71
ns
-6
MCP-1
0.49
0.18
0.08
0.06
0.01
0.06
ns
-8
MIG
1.94
0.64
1.36
0.07
0.0035
0.07
*
-27
RANTES
0.07
0.02
0.016
0.0274
0.0047
0.0307
ns
-3
ICAM-1
6.58
2.59
0.61
2.28
0.35
2
ns
-3
VCAM
0.79
0.27
0.1
0.39
0.04
0.37
ns
-2
L-selectin
6.96
1.68
7.32
1.09
0.14
0.919
ns
-6
P-selectin
0.78
0.31
0.15
0.15
0.03
0.14
ns
-5
TGFBIp
2.7
0.05
2.26
20
8.3
17.43
***
7
TGFβ1
0.18
0.05
0.11
1.32
0.3
1.29
ns
7
VEGF
3.42
0.85
2.8
0.29
0.05
0.32
ns
-12
IgE
0.09
0.06
0.01
6.68
1.39
6.5
ns
74
Analytes IL-1α
Mean 0.03
SEM 0.01
Median 0.01
Mean 0.0048
SEM 0.0011
Median 0.005
IL-1β
0.02
0.001
0.01
0.0013
0.0003
IL-2
0.08
0.04
0.005
0.54
IL-4
0.002
0.001
0.001
IL-6
0.006
0.001
IL-8
0.54
IL12/IL23p40
Table showing the mean and median concentration of analytes (pg/µg) in tear fluid of control subjects (18 eyes, n= 17) and endothelial corneal dystrophy (6 eyes, n=3) patients. Ctrl – Controls; EnCD – Endothelial Corneal Dystrophy; SEM – Standard error mean; FC – Fold change; ns – not significant; *P<0.05, **P<0.01, ***P<0.001, MannWhitney Test (versus controls). Picogram and microgram denoted as pg and µg, respectively.
Supplementary Table 1 Corneal dystrophy Epithelial EBMD/
Reference number
Endothelial
MCD
GCD
LCD
FECD
TGFBIp
CHST6
TGFBIp
TGFBIp, GSN
Col8A2, SLC4A11, ZEB1
1, 2, 69
1, 2, 68, 70
1, 2, 68
1, 2, 68
1, 2, 71
MDFPD Implicated Gene mutations
Stromal
Table shows the genes implicated in CD and respective references. Epithelial basement membrane dystrophy – EBMD; Map-dot-fingerprint dystrophy – MDFPD, Macular corneal dystrophy – MCD, Granular corneal Dystrophy – GCD, Lattice corneal Dystrophy – LCD, Fuch’s endothelial corneal dystrophy – FECD. Transforming growth factor beta induced protein (TGFBIp) gene mutations are implicated in EBMD/ MDFPD [1, 2, 69]. Mutations in the TGFBIp and Gelsolin (GSN) gene have been associated with LCD and GCD [1, 2, 68]. Mutations in the carbohydrate sulfotransferase 6 (CHST6) gene is the underlying cause for MCD [1, 2, 68, 70]. Genes associated with FECD [1, 2, 71] are: Collagen Type VIII Alpha 2 Chain (Col8A2); sodium bicarbonate transporter-like protein 11 (SLC4A11 gene) and zinc finger E-box-binding homeo-box 1 (ZEB1).