Abstract
With age, structural and functional changes can be observed in human cornea. Some studies have shown a loss of corneal transparency and an increase in turbidity associated with aging. These changes are caused by modifications in the composition and arrangement of extracellular matrix in the corneal stroma. In human skin, it is well documented that exposure to solar radiation, and mainly to the UVA wavelengths, leads to phenotypes of photoaging characterized by alteration in extracellular matrix of the dermis. Although the cornea is also exposed to solar radiation, the extracellular matrix modifications observed in aging corneas have been mainly attributed to chronological aging and not to solar exposure. To ascertain the real implication of UVA exposure in extracellular matrix changes observed with age in human cornea, we have developed a model of photoaging by chronically exposing corneal stroma keratocytes with a precise UVA irradiation protocol. Using this model, we have analyzed UVA-induced transcriptomic and proteomic changes in corneal stroma. Our results show that cumulative UVA exposure causes changes in extracellular matrix that are found in corneal stromas of aged individuals, suggesting that solar exposure catalyzes corneal aging. Indeed, we observe a downregulation of collagen and proteoglycan gene expression and a reduction in proteoglycan production and secretion in response to cumulative UVA exposure. This study provides the first evidence that chronic ocular exposure to sunlight affects extracellular matrix composition and thus plays a role in corneal changes observed with age.
Keywords: Ultraviolet A, photoaging, corneal stroma, extracellular matrix, collagen, proteoglycan, environmental toxicity
Introduction
The cornea plays a protective role by blocking the majority of ultraviolet (UV; 100–400 nm) while allowing visible light (400–750 nm) to reach the posterior part of the eye. The cornea is the principal refractive element in the eye. It is composed of 3 cellular layers: epithelium, stroma, and endothelium. The epithelium, the most anterior corneal layer, contains 6–8 strata of epithelial cells. Underlying the epithelium, the stroma represents up to 90% of the corneal thickness. It confers the biomechanical and optical properties to the cornea and is mainly composed of specifically oriented collagen fibers and a few dispersed extracellular matrix-producing keratocytes (Ruberti et al., 2011). The endothelium is the most posterior layer of the cornea and is composed of a monolayer of endothelial cells. It maintains the corneal stroma in a relatively dehydrated state by creating a semipermeable barrier between the cornea and the anterior ocular chamber (Bonanno, 2011).
Light transmission in human corneas from patients of different ages is documented. It was first measured in 1962 by Boettner and Wolter in corneas from nine patients ranging from 4 weeks to 75 years of age (Boettner & Wolter, 1962). Their results showed a loss of corneal transparency with age. In 1980, Lerman confirmed the age-dependent opacification found by Boettner and Wolter by measuring corneal transparency in patients of three different ages (8, 24, and 80 years old) (Lerman, 1980). Beems and van Best, in 1990, have measured corneal transmission in eight patients between 22 and 87 years old. They found a slight but nonsignificant age-dependent loss of corneal transparency (Beems & Van Best, 1990). Although there is some evidence that aging affects corneal transparency, this remains a subject of controversy.
Despite the controversy resulting from data on the measurement of corneal transparency in aging corneas, it is well understood that important changes occur with age in the corneal stroma extracellular matrix (ECM). An increased turbidity (Stocker & Moore, 1975) and stromal density (Weale, 1963) can be observed clinically. A change in the collagen fiber spacing and in degeneration, providing areas free of collagen, is observed with aging (Kanai & Kaufman, 1973). An increase in glycation and in advanced glycation end products (AGEs) is also associated with age (Malik et al., 1992). It has also been shown that the corneal collagen interfibrillar spacing is decreased with age, and this may be related to changes in the interfibrillar matrix proteoglycan composition (Malik et al., 1992; Malik & Meek, 1996; Daxer et al., 1998). Moreover, considerable stiffening is observed with age, possibly related to the age-related nonenzymatic cross-linking of the corneal stroma collagen fibrils (Elsheikh et al., 2007, 2010). Most of the studies on corneal changes are observational and none have precisely analyzed the extent of ECM changes with age.
In humans, the skin and the eye are the only two organs exposed to UV radiation from the sun. The photoaging-induced biochemical and molecular changes in dermal ECM are well defined. They include the aberrant overproduction of elastin, known as solar elastosis (Bernstein et al., 1995; Bernstein & Uitto, 1996). Cumulative UV exposure also affects dermal collagens, the most abundant dermal ECM proteins, representing 70% of the dry skin mass (Gniadecka et al., 1998). There is strong evidence showing that photoaging leads to a decrease in collagen synthesis (Fisher et al., 2000; Quan et al., 2004). Moreover, the reactive oxygen species induced by UV radiation stimulate the matrix metalloproteinase (MMP) gene expression through the MAPK signaling pathways (Pimienta & Pascual, 2007; Yaar & Gilchrest, 2007). MMPs are responsible for the collagen degradation observed in photoaged skin (Fisher et al., 2002; Quan et al., 2009). These photoaging-related changes in the skin are primarily attributed to the UVA component of UV light (Krutmann, 2000). UVA rays penetrate deeper in the dermis and induce reactive oxygen species orders of magnitude more efficiently than UVB via chromophore photosensitization reactions (Baier et al., 2006; Tewari et al., 2012).
Similar to the skin, the cornea is constantly exposed to sun's UV radiation, and we have shown that UVA penetrates throughout the corneal stroma (Mallet & Rochette, 2011, 2013). However, the modifications observed in the ECM of aging corneas have been mainly attributed to chronological aging, ignoring the real implication of UV light in those changes. To our knowledge, the biochemical and molecular consequences of cumulative corneal UV exposure have not been documented. This is mainly attributed to a lack of a proper model to study. In skin, it is possible to compare regions of sun-exposed and sun-protected skin in the same individual, allowing the precise determination of photo-induced changes in skin. This strategy is not possible for studies of the effect of cumulative UV exposure in the cornea. Therefore, we have developed a model of corneal photoaging to study the effects of cumulative UV exposure in the cornea. Corneal stroma keratocytes have been chronically UVA-irradiated, and the transcriptome and the proteome have been analyzed. Our results clearly show a downregulation of collagen and proteoglycan gene expression and a reduction in proteoglycan production and secretion in response to cumulative UVA exposure. This study provides the first evidence that chronic ocular exposure to sunlight affects ECM composition and thus plays a role in corneal changes observed with age.
Materials and methods
All experiments performed in this study were conducted in accordance with our institution's guidelines and the Declaration of Helsinki. The research protocols received approval by the CHU de Québec institutional committee for the protection of human subjects.
Cell culture
Corneal stroma keratocytes were obtained from the eyes of 6-day-old and 87-year-old human subjects (provided by La Banque d'Yeux du Centre Universitaire d'Ophtalmologie, Québec, Canada). Cells were cultured to full confluence in DMEM medium (Wisent, St-Bruno, Québec, Canada) with 10% FBS (Wisent, St-Bruno, Québec, Canada) and 1% penicillin/streptomycin (Wisent, St-Bruno, Québec, Canada) at 37 °C, 5% CO2. Cells were used between passages 1 and 3.
UVA irradiation
Fully confluent keratocytes of a 6-day-old patient were irradiated with a UVA lamp emitting UVA1 wavelengths (340–400 nm) with < 0.01% of UVA2 wavelengths (315–340 nm) (Fig.1) (UVP 365-nm lamp with filter, Upland, CA, USA). Cells were irradiated with 20 kJ m−2 UVA, two times a day, 5 days a week for 9 weeks (90 × 20 kJ m−2, for a total of 1800 kJ m−2 UVA). During the irradiation, DMEM medium was changed to PBS (Wisent, St-Bruno, Québec, Canada) to avoid oxidative stress coming from the irradiated culture medium. New medium was added after each irradiation. For the control, cells from the same strain were cultured in the same conditions but not UVA-irradiated. The medium was changed to PBS at the same frequency as the irradiated cells.
Gene profiling
Total RNA was isolated from irradiated and nonirradiated 6-day-old corneal stroma keratocytes at 100% confluence with TRIzol reagent (Ambion; Life Technologies, Grand Island, NY, USA) using the manufacturer's protocol. Cyanine 3-CTP (Agilent protocol)-labeled cRNA targets were prepared from 200 ng of total RNA from both experimental samples using the Agilent One-color Microarray-Based Gene Expression Analysis kit (Agilent Technologies, Santa Clara, CA, USA). Then, 600 ng cRNA was incubated on a G4851A SurePrint G3 Human Ge 8 × 60 K array slide (60 000 probes; Agilent Technologies). Slides were then hybridized for 18 h, washed, and scanned on an Agilent SureScan Scanner. Data were then analyzed using the Arraystar V4.1 (DNAstar, Madison, WI, USA) software for scatter plot and heatmap generation for selected genes. Statistical analysis of data has been performed using the robust multiarray analysis for background correction of the raw data values. Microarray data shown in this study comply with the Minimum Information About a Microarray Experiment (MIAME) requirements (Brazma et al., 2001).
Engineered corneal stroma production
After UVA irradiation (90 × 20 kJ m−2), irradiated and nonirradiated 6-day-old and 87-year-old cells were cultured for 40 days in medium containing 50 μg mL−1 ascorbic acid, using a protocol adapted from Proulx et al. (2010). Ascorbic acid allows fibroblasts to secrete and assemble ECM to form an engineered corneal stroma. The engineered stroma was then partially decellularized with 1.8 mm sodium deoxycholate, which is beneath the critical micellar concentration of 2 mm at 25 °C. This concentration avoids solubilization of the ECM in the decellularization process. Engineered stroma was washed 3 times with PBS at 37 °C and 1.8 mm sodium deoxycholate was then added to the engineered stromas for 15 min at room temperature. Stromas were then washed 5 times with PBS at 37 °C. Decellularized stromas were stored at −80 °C.
Mass spectrometry analysis
The protein preparation and mass spectrometry analysis were performed by the Proteomics platform of the Eastern Quebec Genomic Center, CHU de Quebec, Canada. Decellularized engineered corneal stromas were sent to the platform for protein separation on gels and further processing. Each lane of the protein gel was cut into ten bands and then washed with water. Tryptic digestion was performed on a MassPrep liquid handling robot (Waters, Milford, MA, USA) according to the manufacturer's specifications and the protocol in Shevchenko et al. (1996) with the modifications suggested by Havlis et al. (2003). Briefly, proteins were reduced with 10 mm DTT and alkylated with 55 mm iodoacetamide. Trypsin digestion was performed using 126 nm of modified porcine trypsin (Sequencing grade; Promega, Madison, WI, USA) at 58 °C for 1 h. Digestion products were extracted using 1% formic acid, 2% acetonitrile followed by 1% formic acid, 50% acetonitrile. The recovered extracts were pooled, dried by vacuum centrifuge, resuspended in 10 μL of 0.1% formic acid, and analyzed by mass spectrometry.
Peptide samples were separated by online reversed-phase (RP) nanoscale capillary liquid chromatography (nanoLC) and analyzed by electrospray ionization–tandem mass spectrometry (ESI-MS/MS). The experiments were performed with an Agilent 1200 nanopump connected to a 5600 mass spectrometer (AB Sciex, Framingham, MA, USA) equipped with a nanoelectrospray ion source. Peptide separation occurred on a self-packed PicoFrit column (New Objective, Woburn, MA, USA) packed with Jupiter (Phenomenex, Torrance, CA, USA) 5u, 300A C18, 15 cm × 0.075 mm internal diameter. Peptides were eluted in a linear gradient with 2–50% solvent B (acetonitrile, 0.1% formic acid) in 30 min, at 300 nL min−1. Mass spectra were acquired using a data-dependent acquisition mode using Analyst software version 1.6. Each full scan mass spectrum (400–1250 m/z) was followed by collision-induced dissociation of the 20 most intense ions. Dynamic exclusion was set for a period of 3 s and a tolerance of 100 ppm.
Database searching
All MS/MS peak lists (MGF files) were generated using ProteinPilot (AB Sciex, Version 4.5) with the Paragon algorithm. MGF peak list files were created using Protein Pilot version 4.5 software (ABSciex, Concord, Ontario, Canada) utilizing the Paragon and Progroup algorithms (Shilov). MGF sample files were then analyzed using Mascot (Matrix Science, London, UK; version 2.4.0). Mascot was searched with a fragment ion mass tolerance of 0.100 Da and a parent ion tolerance of 0.100 Da. Carbamidomethyl of cysteine was specified in Mascot as a fixed modification. Glu->pyro-Glu of the n-terminus, gln->pyro-Glu of the n-terminus, deamidation of asparagine and glutamine, and oxidation of methionine were specified in Mascot as variable modifications.
Criteria for protein identification
Scaffold (version Scaffold 4.3.0, Proteome Software Inc., Portland, OR, USA) was used to validate MS/MS-based peptide and protein identifications. Peptide identifications were accepted if they could be established at > 95.0% probability by the Peptide Prophet algorithm (Keller et al., 2002; Nesvizhskii et al., 2003). Protein identifications were accepted if they could be established at > 99.0% probability and contained at least two identified peptides. Protein probabilities were assigned by the Protein Prophet algorithm (Nesvizhskii et al., 2003). Proteins that contained similar peptides and could not be differentiated based on MS/MS analysis alone were grouped to satisfy the principles of parsimony.
Results and discussion
The accumulated sunlight exposure of an individual during its lifetime is highly variable, and it is virtually impossible with the available tools to approximate the UVA dose received in the cornea of a given subject. Nonetheless, to partially mimic the solar exposure received by a cornea during a lifetime, we have developed a precise irradiation protocol. The irradiation source consists almost entirely of UVA1 wavelengths (340–400 nm) and contains < 0.01% of UVA2 wavelengths (315–340 nm) (Fig.1). The UVA dose and irradiation frequency were calibrated to avoid cell death, and the cells were irradiated at 100% confluency to reduce the replication rate. UVA rays were used in our study because (1) they represent 95% of the UV wavelengths reaching the earth surface from the sun, (2) they penetrate deeper in the corneal stroma than UVB wavelengths, reaching the posterior portion of the cornea (Mallet & Rochette, 2011, 2013), and (3) they are the main wavelength responsible for skin photoaging (Krutmann, 2000). Stress related to the irradiation procedure is induced in the cells. For instance, the culture medium is replaced by PBS during irradiation, and the cells are removed from the 37 °C incubator during the preparation and irradiation period. Those stresses can also induce transcriptomic and proteomic changes. In our experiment, the nonirradiated controls (NoUV) underwent the same procedure as the irradiated samples (UVA). Therefore, the observed changes can safely be attributed to the UVA exposure and not to the stress caused by the procedure. Our model, using primary cultures of human corneal stroma keratocytes, also has the advantage of being fully isogenic.
To better understand the molecular changes induced by chronic exposure to UVA, we analyzed the transcriptomic and proteomic changes induced by our irradiation protocol in human corneal keratocytes (Fig.2). For the transcriptomic analysis, RNA was isolated from artificially photoaged and control keratocytes and was analyzed using microarray technology. For the proteomic analysis, the photoaged or control stromal keratocytes were induced using ascorbic acid to secrete and arrange ECM to generate tissue-engineered corneal stromas. ECM constitution was analyzed by mass spectrometry.
Gene profiling
We analyzed the gene expression of artificially photoaged and control stromal keratocytes. The experiment was performed in triplicate. The transcriptome analysis of the significantly deregulated genes (Fig.3A,B) showed very little variation between each experimental triplicate, and it can be stated that the experimental procedure is reproducible.
Among the 48 most deregulated genes, some are of particular interest in regard to the sunlight-induced corneal changes (Fig.3C,D). Collagen XV (col15a1) and collagen IV (col4a4) code for two ECM proteins found in corneal stroma. They are present at a marginal level (< 1%) in corneal stroma. The exact function of collagen XV, a nonfibrillar collagen, is not well defined (Muragaki et al., 1994; Pihlajaniemi & Rehn, 1995). On the other hand, collagen IV is a main component of the corneal basement membrane, which interacts with corneal epithelial cells (Kurpakus Wheater et al., 1999). Both collagens are downregulated after irradiation. In addition, another ECM-coding gene, the proteoglycan mimecan (OGN), was highly downregulated by artificial photoaging. OGN is a keratan sulfate important in collagen fibrillogenesis and matrix assembly. Mimecan-deficient mice have thicker collagen fibrils in the corneal stroma (Pellegata et al., 2000).
PNLIPRP3 gene is the most upregulated gene after irradiation. This is surprising because no stress response or aging function has been reported for this gene. In fact, PNLIPRP3 and its function are not well documented, and it may be interesting to investigate its function in relation to UV-induced response. However, we consider the investigation of PNLIPRP3 to be beyond the purpose of this study.
Collagens
The predominant collagens found in corneal stroma are collagen I and VI, representing 75% and 17% of total stromal ECM collagen, respectively (Michelacci, 2003). The genes encoding those collagens also have the highest expression in corneal stroma keratocytes (Fig.4A–C). The chronic UVA irradiation induces a significant downregulation of genes coding for collagen I (col1a1), collagen III (col3a1), collagen IV (col4a3, a4, a5, and a6), collagen V (col5a1 and a2), collagen VIII (col8a2), collagen IX (col9a3), collagen XII (col12a1), and collagen XV (col15a1). None of the collagen-coding genes were upregulated by the UVA irradiation regime.
With the help of ascorbic acid, the secreted collagens are cross-linked, assembled into fibrils, and aggregated into fibers (Proulx et al., 2010). We analyzed the assembled collagen content in the tissue-engineered corneal stromas using mass spectrometry (Fig.4D). Collagen VI (col6a1, a2, and a3), collagen XII (col12a1), and collagen XIV (col14a1) were detected by mass spectrometry. Collagen I, the predominant collagen normally found in corneal stroma, is a fibril-forming collagen. Consequently, we found it at an almost undetectable level using standard mass spectrometry procedure. Genes coding for collagen VI and XII were the most highly expressed non-fibril-forming collagens, which correlated with the fact that they are the ones detected at the highest level using mass spectrometry. A small reduction in collagen VI and XII was observed in our irradiated stromal keratocytes when compared with the unirradiated controls (Fig.4D). However, this reduction was either less important or not apparent when comparing stromal cells from an old donor (87 years old) with a young donor (6 days old) (Fig.4D). This indicates that the cumulative UVA exposure throughout a lifetime does not contribute significantly to differences in corneal stroma collagen deposition.
Proteoglycans and other ECM
Proteoglycans are responsible for the organization and alignment of collagen fibers [reviewed in (Hassell & Birk, 2010)]. Their presence at a precise level is crucial for corneal transparency. For example, lumican knockout mice exhibit severe corneal opacity and corneal thinning associated with disorganized collagen fibrils in the corneal stroma (Meij et al., 2007). Lumican is responsible for the organization and spacing of collagen fibrils and the regulation of collagen assembly, and lumican−/− mice develop bilateral corneal opacification (Chakravarti et al., 1998). Lumican plays a regulatory role for other keratocans, and a downregulation of lumican leads to a downregulation of keratocans such as biglycan, decorin, and podocan (Chen & Birk, 2013). Gene expression of lumican, keratocan, and biglycan (OGN) was significantly downregulated by chronic UVA irradiation (Fig.5A,B). We also observed a downregulation of decorin (DCN) and podocan (PODN) gene expression, but it is not statistically significant.
At the protein level, the mass spectrometry analysis of the engineered stromal ECM showed a clear decrease of different proteoglycans (Fig.5D). This is in accordance with the downregulation of proteoglycan gene expression observed in transcriptome analysis (Fig.5A,B). Lumican, decorin, biglycan, podocan, and fibromodulin were all found at lower levels in engineered stroma from irradiated cells when compared with unirradiated controls. The decrease in the protein levels of all proteoglycans was also observed in engineered stromas from cells from 87-year-old subjects when compared with cells from 6-day-old subjects. This clearly indicates that cumulative UVA exposure to the cornea is implicated in the depletion of corneal stroma proteoglycans observed with aging.
Among other ECM-coding genes, a significant downregulation of fibronectin (FN1) and thrombospondin (THBS2 and 4) was observed (Fig.5D). Fibronectin and thrombospondin are not found in native corneal stroma. However, they are important in corneal wound healing (Matsuba et al., 2011; Blanco-Mezquita et al., 2013). The corneal stroma keratocytes cultured in vitro adopt characteristics of fibroblasts, mimicking what can be observed in the corneal wound healing process (Matsuba et al., 2011). This explains, at least in part, the expression of those genes in cultured keratocytes. We observed the depletion in fibronectin associated with chronic UVA exposure in engineered stromas, and this depletion was also observed in 87-year-old cells (Fig.5D). However, because fibronectin is associated with wound healing, this may reflect that UVA influences wound healing rather than corneal stroma composition. The gene encoding nidogen 2 (NID2) is downregulated by UVA, and its protein level is also depleted to a level undetectable by mass spectrometry in both engineered stromas from irradiated keratocytes (UVA) and keratocytes from a 87-year-old subject (Old) (Fig.5). In the native cornea, nidogen 2 is found in the basement membrane at the epithelium/stroma junction. Nidogen 2 is expressed on both sides of basement membrane in infants, but it is expressed only on the epithelial side of the membrane in adults (Kabosova et al., 2007). Because our model of tissue-engineered stroma does not contain an epithelium and/or a membrane, the conclusions that can be drawn from this result are limited.
Matrix-degrading metalloproteinases
We then analyzed gene expression of matrix-degrading MMPs and MMP inhibitors (TIMP) (Fig.6). MMPs are proteinases responsible for the degradation of ECM proteins, including collagens and proteoglycans (Nelson et al., 2000; Sternlicht & Werb, 2001). The role of MMPs in skin photoaging is well defined [reviewed in (Fisher et al., 2002; Quan et al., 2009)]. UV exposure leads to a strong increase in the expression of the genes coding for MMP1 and MMP3 and a modest increase in MMP9 in human skin in vivo (Fisher et al., 1996, 1997, 2002; Fisher & Voorhees, 1998; Brenneisen et al., 2002; Hazane et al., 2005; Wang et al., 2008). In agreement with findings in skin, expression of MMP1 and MMP3 increased in corneal stroma keratocytes. In total, 6 MMP-coding genes were significantly upregulated (MMP1, 3, 7, 14, 15, and 24) (Fig.6A,B). This result validates our model of corneal photoaging and supports our hypothesis that the accumulation of UVA irradiation in the eye produces effects through a process similar to skin photoaging. Only one MMP-coding gene, MMP23B, was downregulated by UVA irradiation. MMP23B is predominantly expressed in reproductive tissues, and no role in corneal ECM has been attributed to this MMP (Velasco et al., 1999; Ohnishi et al., 2001). On the other hand, among the TIMPs, only the TIMP4-coding gene is significantly upregulated by the irradiation protocol. TIMP4 has a central role in MMP regulation. It inhibits MMP1, 2, 3, 7, and 9 [reviewed in (Melendez-Zajgla et al., 2008)]. However, the relative expression level of TIMP4 is marginal compared to the other 3 TIMPs (Fig.6C). The imbalance of the MMP/TIMP ratio is responsible for the ECM degradation observed in skin photoaging (Hachiya et al., 2009). Based on our results, it would be hazardous to draw any conclusions about the potential role of MMPs or the inhibition of their effect by TIMPs in the UVA-induced ECM changes observed in corneal stroma keratocytes.
Conclusion
Our study focuses on two aspects: (i) the development of a model of corneal photoaging and (ii) the molecular characterization of corneal photoaging. We developed a specific irradiation protocol to accumulate large amounts of UVA (1800 kJ m−2) in corneal stroma keratocytes without inducing significant mortality. Considering that we are exposed to approximately 50 kJ m−2 per h at the zenith of summer (Kuluncsics et al., 1999), we exposed our experimental stromal keratocytes to the equivalent of 36 h of direct sunlight. However, because many factors reduce the sun exposure received by our stromal cells, the actual time spent outside to reach 1800 kJ m−2 of UVA wavelengths in our keratocytes is much higher than the given 36 h. First, the sun intensity varies and is rarely at its maximal intensity. Moreover, we rarely look directly at the sun, and 40% the UVA wavelengths that reach the cornea are filtered by the corneal epithelium and never reach the corneal stroma (Mallet & Rochette, 2013). Thus, even if it is impossible to estimate the average solar exposure received by an individual's corneal stroma, we can safely state that 1800 kJ m−2 UVA is a high dose that should suffice to induce a photoaging effect in corneal stroma cells. By comparing corneal stroma keratocytes exposed to our irradiation protocol with the same unexposed cells, we established a perfect isogenic system to study the effect of sun exposure on ECM components. This model is greatly enhanced by the fact that using tissue engineering techniques, we reproduced an artificial corneal stroma by inducing irradiated and unirradiated keratocytes to secrete and organize their ECM. Using this corneal photoaging model, we have shed light on important changes in ECM production (at the RNA level), and secretion and organization (at the protein level) induced by UVA light. We have shown that proteoglycans are highly affected by chronic UVA irradiation, and this deregulation is also found in the corneal stromas of older subjects. These results strongly suggest that UVA plays an important role in corneal aging and that the phenotypes of corneal aging could be prevented using appropriate eye protection against UVA wavelengths. This work is an important first step in the understanding of corneal photoaging. It is well accepted that UVA exerts their biological effects mostly via the generation of reactive oxygen species (Cadet & Douki, 2011). In the perspective of this study, it would be of great interest to assess the implication of UVA-induced oxidation and photosensitizer involved in the ECM changes observed. We anticipate that with the establishment of our corneal photoaging model, more work will be conducted to understand the real impact of chronic exposure to sunlight in the human cornea.
Acknowledgments
The authors are grateful to La Banque d'Yeux du Centre Universitaire d'Ophtalmologie de Québec for providing the specimens. La Banque d'Yeux du Centre Universitaire d'Ophtalmologie de Québec is supported by le Réseau de recherche en santé de la vision du FRQ-S.
Funding info
This work was supported by a grant from the Canadian Institutes of Health Research (CIHR) to P.J.R (MOP-133719). P.J.R is a research scholar from the Fonds de recherche du Québec—Santé (FRQ-S). S.P.G holds a Doctoral Research Award from the FRQ-S.
Conflict of interest
None declared.
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