Abstract
Purpose
Vernal keratoconjunctivitis (VKC) is an ocular allergic disease characterized by a type 2 inflammation, tissue remodeling, and low quality of life for the affected patients. We investigated the involvement of endoplasmic reticulum (ER) stress and unfolded protein response in VKC.
Methods
Conjunctival imprints from VKC patients and normal subjects (CTs) were collected, and RNA was isolated, reverse transcribed, and analyzed with the Affymetrix microarray. Differentially expressed genes between VKC patients and CTs were evaluated. Genes related to ER stress, apoptosis, and autophagy were further considered. VKC and CT conjunctival biopsies were analyzed by immunohistochemistry (IHC) with specific antibodies against unfolded protein response (UPR), apoptosis, and inflammation. Conjunctival fibroblast and epithelial cell cultures were exposed to the conditioned medium of activated U937 monocytes and analyzed by quantitative PCR for the expression of UPR, apoptosis, autophagy, and inflammatory markers.
Results
ER chaperones HSPA5 (GRP78/BiP) and HYOU1 (GRP170) were upregulated in VKC patients compared to CTs. Genes encoding for ER transmembrane proteins, PKR-like ER kinase (PERK), activating transcription factor 6 (ATF6), ER-associated degradation (ERAD), and autophagy were upregulated, but not those related to apoptosis. Increased positive reactivity of BiP and ATF6 and unchanged expression of apoptosis markers were confirmed by IHC. Cell cultures in stress conditions showed an overexpression of UPR, proinflammatory, apoptosis, and autophagy markers.
Conclusions
A significant overexpression of genes encoding for ER stress, UPR, and pro-inflammatory pathway components was reported for VKC. Even though these pathways may lead to ER homeostasis, apoptosis, or inflammation, ER stress in VKC may predominantly contribute to promote inflammation.
Keywords: vernal keratoconjunctivitis, ER stress, unfolded protein response, apoptosis, autophagy
Vernal keratoconjunctivitis (VKC) is a severe and chronic ocular allergic disease characterized by an intense type 2 conjunctival inflammation and tissue remodeling.1,2 Patients affected by all clinical phenotypes (tarsal, limbal, and mixed) complain of intense itching, photophobia, tearing, and mucous discharge for several months per year, negatively affecting their quality of life and causing psychological stress for patients and their family members.3 Signs and symptoms are typically exacerbated by specific allergen exposure but, more frequently, by exposure to environmental non-specific conditions such as heat, pollution, sun, and hot wind, all considered conditions that can stress the ocular surface.4 In fact, the cornea is frequently involved in the clinical aspects of epithelial punctate keratopathy, erosions, ulcers, and corneal neural inflammation.5 We recently demonstrated in VKC significantly higher gene expression signatures related to innate and adaptive immunity, antigen presentation, T helper 2 (Th2) and Th17 priming, and inflammatory cell chemotaxis and activation compared to normal subjects.6 In addition, we highlighted the redundant expression of pathogen recognition receptors, which, when interacting with multiple environmental, tissue, or microbial residues, might initiate or aggravate the disease.7 Furthermore, we described in VKC an increased expression of stress-related proteins such as heat shock proteins (HSPs),8 epithelial barrier dysfunction,9,10 and tissue remodeling.2,11,12 Therefore, a demand for increases in protein synthesis and folding (e.g., cytokine or mucus production) can create an imbalance in the endoplasmic reticulum (ER) and consequent ER stress, which plays a significant role in cellular survival and function.13 ER stress and oxidative stress resulting from exposure to pollutants, irritants, and inflammatory mediators have been related in lung diseases to epithelial barrier dysfunction, development of innate and adaptive immune responses, and airway remodeling and hyperresponsiveness,14–16 but it may also have similar roles in ocular surface inflammatory diseases.17 ER disfunction leads to misfolded protein, which may be harmful for cell function and the adaptive unfolded protein response (UPR).16 To regain ER homeostasis, different compensatory responses are initiated, including increased expression of folding chaperones, inflammation, and ER-associated degradation (ERAD). ERAD is an essential process in which misfolded proteins are recognized as terminally misfolded, re-translocated into the cytoplasm, polyubiquitinated, and targeted for proteasomal degradation. The accumulation of unfolded proteins is sensed by three ER transmembrane proteins: protein kinase R (PKR)-like ER kinase (PERK), inositol-requiring enzyme 1 (IRE1), and activating transcription factor 6 (ATF6). If these mechanisms fail, UPR results in apoptosis and cell death.13 The objective of this study was to use clinical specimens and cell models to gain insight into upregulation of the UPR in VKC.
Methods
Subjects and Impression Cytology Samples
Fifteen VKC patients (10 males and five females) and eight healthy age-matched control (CT) subjects (five males and three females) were included. None of the control subjects used contact lenses or had inflammatory signs and symptoms or history of allergy. The study complied with the tenets of the Declaration of Helsinki and was approved by the Institutional Review Board of our institution. Informed consent was obtained from the subjects (or patients), who were appropriately informed of the nature and possible consequences of the study. The diagnosis of VKC was based on the typical history, signs, and symptoms.1 All 15 VKC patients were free of topical mast cell stabilizers and/or antihistamines for at least 3 days and free of topical corticosteroids for at least 5 days before samples were collected. Impression cytology samples were obtained for RNA isolation from all VKC and CT subjects as previously described6 (see Supplementary Methods).
RNA Isolation, Integrity Measurement, and Affymetrix Assay
Total RNA was extracted from impression cytology membranes using the QIAGEN RNeasy Plus Mini Kit (QIAGEN, Hilden, Germany) and was treated with QIAGEN RNase-Free DNase, following the manufacturer's instructions. Purified RNA was stored at −80°C until testing. RNAs were quantified using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA) and further processed with the Affymetrix GeneChip WT Pico Kit (Thermo Fisher Scientific). Finally, labeled cDNA was hybridized on Affymetrix Clariom S Arrays (Thermo Fisher Scientific).18 Gene expression data for selected genes involved in ER chaperones, ERAD, ER stress, UPR, autophagy, and apoptosis were identified from a literature search and the Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Database (https://www.kegg.jp/pathway). The fold change for each gene was compared with the CT.
Immunohistochemistry and Western Blotting Analysis
Upper tarsal conjunctival biopsies were obtained from five active tarsal VKC patients and five healthy age-matched subjects. Tissues were snap frozen with optimal cutting temperature (OCT) compound (Histo-Line Laboratories, Pantigliate, Milano, Italy) in liquid nitrogen and maintained at −80°C until use for immunohistochemistry (IHC). Two sections from each biopsy sample were stained applying a standard IHC procedure, with antibodies specific for glucose-regulated protein 78 (GRP78)/BiP and ATF6; apoptosis markers BAX, B-cell lymphoma 2 (BCL2), and caspase-3; and inflammatory markers IL-1β and NOD-like receptor protein 3 (NLRP3), as described in the Supplementary Materials and in Supplementary Table S1. BiP tissue expression was also evaluated by western blot (WB) analysis (see Supplementary Methods). ImageJ (National Institutes of Health, Bethesda, MD, USA) was employed to determine the relative quantity of BIP in the samples, and densitometry values were normalized to those of actin.
Cells
Primary conjunctival fibroblasts were obtained after digestion of VKC tarsal biopsies with 20-U/mL type I collagenase (Worthington Biochemical, Lakewood, NJ) at 37°C for 6 hours. Immortalized Human Conjunctival Epithelial (P10780-IM; Innoprot, Derio (Bizkaia), Spain) and the human monocytes U937 (Thermo Scientific; Wilmington, DE, USA) were purchased to be used for the experiments. Conjunctival epithelial cells were cultured using the IM-Ocular Epithelial Cell Medium Kit (Innoprot), and fibroblasts were grown in complete Dulbecco's modified Eagle's medium (DMEM), both supplemented with 10% fetal bovine serum, 1% (v/v) penicillin–streptomycin, and 2-mM glutamine at 37°C, in a 5% humidified CO2 atmosphere. The U937 cells were grown in suspension in complete Gibco RPMI 1640 Medium (Thermo Fisher Scientific) and were subcultured twice weekly by dilution using a seeding density of 106 cells.
Activated U937 Monocyte Conditioned Medium
U937 cells were treated with 1-µg/mL lipopolysaccharide (LPS; Sigma-Aldrich, St. Louis, MO, USA) for 1 hour after being differentiated into macrophages with phorbol 12-myristate 13-acetate (PMA; Sigma-Aldrich) at a final concentration of 50 ng/mL for 48 hours. Cells were rinsed and cultured for 24 hours in complete RPMI, and the inflammatory conditioned medium (CM) was collected, centrifuged, filtered, and utilized to treat primary human cell cultures as previously reported.19 The differentiation of monocytes to macrophages was examined under an inverted phase-contrast microscope, and the mRNA expression of the macrophage differentiation marker CD68 was analyzed by quantitative real-time PCR (qPCR; data not shown).
ER Stress, Apoptosis, and Autophagy in Conjunctival Cell Cultures and qPCR Analysis
To induce ER stress in vitro, P10780-IM epithelial cells were deprived of glucose for 24 hours or treated with U937-activated CM for 24 hours for further analysis. Because preliminary results showed similar effects for both stress conditions, primary fibroblasts from two different donors were grown in standard culture conditions and exposed to U937 CM for 24 hours. Each experiment was performed in triplicate. Total RNA was extracted from cell cultures, and differences in mRNA expression of ATF6, IRE, PERK, IL-1β, BAX, caspase-3, BCL2, light chain 3A (LC3A) and LC3B, and lysosomal-associated membrane protein 1 (LAMP-1) genes were analyzed by qPCR in primary conjunctival fibroblasts and epithelial cells exposed to the stress condition for 24 hours (see Supplementary Methods).
Statistical Analysis
The differential gene expression analysis was conducted using limma.20 Genes (probesets) having adjusted P < 0.05 and absolute log2 fold change > 1 (ratio between the mean value of expression in the VKC group and the mean value of expression in the control group) were considered to be significantly differently expressed. In this analysis, the P values were corrected for multiple testing (false discovery rate criterion) using the Benjamini–Hochberg procedure. IHC scores for VKC and control biopsies were analyzed using the non-parametric Mann–Whitney U test and a normal approximation with a continuity correction of 0.5. PCR results in cell cultures were compared using an unpaired Student's t-test. The statistical significance threshold was defined as P < 0.05. Data are presented as means and standard deviations.
Results
ER Stress–Related Genes in Conjunctival Samples
ER chaperones were generally upregulated in VKC compared to CT samples. In general, lectin and non-classical molecular chaperones that moderate protein folding, including HSPA5 (GRP78/BiP), hypoxia-upregulated protein 1 (HYOU1; GRP170), calreticulin (CALR), serpin peptidase inhibitor clade H member 1 (SERPINH1; HSP47), protein disulfide isomerase A4 (PDIA4), and HSPB8, were significantly upregulated in VKC samples, whereas HSPB11 and HSPE1 were significantly downregulated. Several other co-chaperones such as the DnaJ or prefoldin (PFDN) families were either up- or downregulated (Table 1).
Table 1.
Expression of Genes Encoding for ER Chaperones and Genes Involved in UPR Signaling and ERAD in VKC Conjunctival Samples Compared to Control Samples
| Gene Symbol | Gene Name | Fold Change | P | Adjusted P |
|---|---|---|---|---|
| ER chaperones and co-chaperones | ||||
| HSPA5 | Heat shock 70-kDa protein 5 (glucose-regulated protein, 78-kDa) (GRP78/BiP) | 1.98 | 0.011* | 0.107 |
| HSP90B1 | Heat shock protein 90-kDa beta (GRP94), member 1 | 1.54 | 0.241 | 0.563 |
| HYOU1 | Hypoxia upregulated 1 (GRP170) | 1.96 | 0.000* | 0.023* |
| CANX | Calnexin | 1.27 | 0.108 | 0.378 |
| CALR | Calreticulin | 1.91 | 0.022* | 0.158 |
| SERPINH1 | Serpin peptidase inhibitor clade H (HSP47), member 1 | 1.85 | 0.042* | 0.227 |
| ERP29 | Endoplasmic reticulum protein 29 | 1.29 | 0.196 | 0.513 |
| PDIA2 | Protein disulfide isomerase family A, member 2 | 1.01 | 0.965 | 0.989 |
| PDIA3 | Protein disulfide isomerase family A, member 3 | 1.45 | 0.189 | 0.504 |
| PDIA4 | Protein disulfide isomerase family A, member 4 | 2.14 | 0.001* | 0.037* |
| PDIA5 | Protein disulfide isomerase family A, member 5 | 1.05 | 0.794 | 0.930 |
| PDIA6 | Protein disulfide isomerase family A, member 6 | −1.05 | 0.749 | 0.911 |
| HSPA1A | Heat shock 70-kDa protein 1A | 1.81 | 0.015* | 0.127 |
| HSPA1B | Heat shock 70-kDa protein 1B | 1.83 | 0.023* | 0.160 |
| HSPB8 | Heat shock 22-kDa protein 8 | 21.12 | 0.001* | 0.036* |
| HSPB11 | Heat shock protein family B (small), member 11 | −2.53 | 0.001* | 0.038* |
| HSPE1 | Heat shock 10-kDa protein 1 | −2.27 | 0.002* | 0.048* |
| DNAJA1 | DnaJ (Hsp40) homolog, subfamily A, member 1 | 1.56 | 0.026* | 0.173 |
| DNAJC11 | DnaJ (HSP40) homolog, subfamily C, member 11 | 1.59 | 0.001* | 0.032* |
| DNAJC19 | DnaJ (Hsp40) homolog, subfamily C, member 19 | −2.66 | 0.000* | 0.012* |
| PFDN4 | Prefoldin subunit 4 | −3.03 | 0.000* | 0.009* |
| PFDN5 | Prefoldin subunit 5 | −2.48 | 0.000* | 0.004* |
| PFDN6 | Prefoldin subunit 6 | −1.49 | 0.010* | 0.100 |
| UPR signaling | ||||
| EIF2AK2 | Eukaryotic translation initiation factor 2-alpha kinase 2 (PERK) | 2.74 | 0.002* | 0.047* |
| ATF4 | Activating transcription factor 4 | 1.89 | 0.007* | 0.083 |
| ATF5 | Activating transcription factor 5 | 1.27 | 0.333 | 0.656 |
| ATF6 | Activating transcription factor 6 | 1.23 | 0.251 | 0.574 |
| ATF6B | Activating transcription factor 6 beta | 1.82 | 0.016* | 0.133 |
| PPP1R15A | Protein phosphatase 1, regulatory subunit 15A (GADD34) | 3.67 | 0.037* | 0.214 |
| NFE2L2 | Nuclear factor erythroid-derived 2-like 2 (NRF2) | 1.37 | 0.089 | 0.343 |
| ERN1 | Endoplasmic reticulum to nucleus signaling 1 (IRE1) | 1.38 | 0.123 | 0.404 |
| TRAF2 | Tumor necrosis factor (TNF) receptor-associated factor 2 | −1.17 | 0.322 | 0.646 |
| MAP3K5 | Mitogen-activated protein kinase kinase kinase 5 (ASK1) | 1.63 | 0.128 | 0.414 |
| MAP2K7 | Mitogen-activated protein kinase kinase 7 (MKK7) | 1.59 | 0.053 | 0.260 |
| MAPK8 | Mitogen-activated protein kinase 8 (JNK) | −1.88 | 0.012* | 0.110 |
| ORMDL3 | ORMDL sphingolipid biosynthesis regulator 3 | 1.13 | 0.626 | 0.853 |
| XBP1 | X-box binding protein 1 | 1.25 | 0.440 | 0.741 |
| ERAD | ||||
| EDEM1 | ER degradation enhancer, mannosidase alpha-like 1 | −1.03 | 0.886 | 0.963 |
| EDEM2 | ER degradation enhancer, mannosidase alpha-like 2 | 1.17 | 0.258 | 0.581 |
| EDEM3 | ER degradation enhancer, mannosidase alpha-like 3 | 1.35 | 0.156 | 0.458 |
| MAN1A1 | Mannosidase, alpha, class 1A, member 1 | 1.93 | 0.001* | 0.036* |
| MAN1A2 | Mannosidase, alpha, class 1A, member 2 | 1.08 | 0.656 | 0.869 |
| MAN1B1 | Mannosidase, alpha, class 1B, member 1 | 1.51 | 0.125 | 0.408 |
| DERL1 | Derlin 1 | −1.11 | 0.631 | 0.856 |
| OS9 | Osteosarcoma amplified 9, endoplasmic reticulum lectin | 2.09 | 0.024* | 0.165 |
| HSPA1A | Heat shock 70-kDa protein 1A | 1.81 | 0.015* | 0.127 |
| HSP90AA1 | Heat shock protein 90-kDa alpha family (cytosolic), class A member 1 | 1.26 | 0.104 | 0.370 |
| DNAJA1 | DnaJ (HSP40) homolog, subfamily A, member 1 | 1.56 | 0.026* | 0.173 |
| HSPH1 | Heat shock protein 105-kDa | 1.87 | 0.005* | 0.069 |
| UBQLN2 | Ubiquilin 2 | 1.82 | 0.016* | 0.132 |
| UBE2G2 | Ubiquitin conjugating enzyme E2 G2 | 1.58 | 0.013* | 0.120 |
| SEC61A1 | SEC61 translocon alpha 1 subunit | 1.45 | 0.224 | 0.543 |
| SEC62 | SEC62 homolog, preprotein translocation factor | −1.18 | 0.372 | 0.688 |
| SEC63 | SEC63 homolog, protein translocation regulator | −1.03 | 0.916 | 0.973 |
Statistically significant.
Regarding the expression of genes involved in UPR signaling, eukaryotic translation initiation factor 2-alpha kinase 2 (EIF2AK2) encoding for PERK, ATF4, ATF6B, and protein phosphatase 1 regulatory subunit 15A (PPP1R15A)/growth arrest and DNA damage-inducible protein (GADD34) were significantly upregulated, whereas ERN1/IRE1, TNF receptor-associated factor 2 (TRAF2), mitogen-activated protein kinase kinase kinase 5 (MAP3K5/ASK), MAP2K7/mitogen-activated protein kinase kinase 7 (MKK7), and X-box binding protein 1 (XBP1) were unchanged and MAPK6/JNK was downregulated (Table 1).
The expression of genes involved in ERAD was also altered. Even though ER degradation-enhancing alpha-mannosidase-like (EDEM) proteins 1, 2, and 3 and derlin-1 (DERL1), as well as translocation factor SEC genes, were normally expressed, genes associated with misfolded protein degradation (PDIA4, OS9, ERMan1/MAN1A1, HSPA1, DNAJA1, HSPH1) and proteasomal degradation-related genes (UBQLN2, USP3, USP32P2, USP18, USP7, USP9Y) were upregulated (Table 1).
Apoptosis, Autophagy, and NF-κB–Related Genes in Conjunctival Samples
The genes related to ER stress–induced apoptosis (BAX, BCL2, CASP3, CASP7, CASP12, and DDIT3/CHOP) and cell death–related genes (TRIB3 and CEBPB) were not upregulated, but synovial apoptosis inhibitor 1 (SYVN1) was upregulated, suggesting that apoptosis and cell death are inhibited in VKC. In contrast, several genes related to autophagy (ATG, MAP1LC3A, MAP1LC3B, and LAMP3), members of the nuclear factor-κB (NF-κB) gene family, and several genes encoding for proinflammatory cytokines, such as IL-1, IL-6, IL-32, CXCL8, NLRP3, and NLRP6, were significantly upregulated (Table 2).
Table 2.
Expression of Genes Involved in Apoptosis, Autophagy, and Inflammation in VKC Conjunctival Samples Compared to Control Samples
| Gene Symbol | Gene Name | Fold Change | P | Adjusted P |
|---|---|---|---|---|
| Apoptosis | ||||
| BAX | BCL2-associated X protein | 1.13 | 0.721 | 0.898 |
| BCL2 | B-cell chronic lymphocytic leukemia (CLL) | 1.28 | 0.373 | 0.689 |
| BCL2L1 | BCL2-like 1 | 1.15 | 0.698 | 0.887 |
| BCL2L11 | BCL2-like 11 (apoptosis facilitator) | 3.44 | 0.001* | 0.026* |
| CASP3 | Caspase-3 | 1.31 | 0.366 | 0.683 |
| FAS | Fas cell surface death receptor | −1.03 | 0.927 | 0.977 |
| FASLG | Fas ligand (TNF superfamily, member 6) | −1.09 | 0.620 | 0.851 |
| PIDD1 | p53-induced death domain protein 1 | 1.18 | 0.294 | 0.621 |
| ENDOG | Endonuclease G | −1.01 | 0.968 | 0.990 |
| TRIB3 | Tribbles pseudokinase 3 | 1.25 | 0.095 | 0.353 |
| CEBPB | CCAAT/enhancer binding protein beta | −1.13 | 0.440 | 0.741 |
| HRC | Histidine-rich calcium binding protein | 1.19 | 0.210 | 0.528 |
| DDIT3 | DNA damage-inducible transcript 3 (C/EBP homologous protein [CHOP]) | 1.11 | 0.669 | 0.875 |
| TP53 | Tumor protein p53 | 1.06 | 0.775 | 0.923 |
| SYVN1 | Synovial apoptosis inhibitor 1, synoviolin | 2.51 | 0.003* | 0.050* |
| Autophagy | ||||
| LAMP1 | Lysosomal-associated membrane protein 1 | 1.75 | 0.011* | 0.109 |
| LAMP2 | Lysosomal-associated membrane protein 2 | 1.18 | 0.427 | 0.731 |
| LAMP3 | Lysosomal-associated membrane protein 3 | 4.52 | 0.005* | 0.067 |
| BECN1 | Beclin 1, autophagy related | 1.10 | 0.532 | 0.801 |
| SQSTM1 | Sequestosome 1 (p62) | 1.42 | 0.087 | 0.339 |
| MAP1LC3A | Microtubule-associated protein 1 light chain 3 alpha | 1.86 | 0.050* | 0.265 |
| MAP1LC3B | Microtubule-associated protein 1 light chain 3 beta | 2.75 | 0.003* | 0.057 |
| ATG16L1 | Autophagy related 16-like 1 | 1.42 | 0.004* | 0.058 |
| ATG2A | Autophagy related 2A | 1.62 | 0.082 | 0.327 |
| ATG4A | Autophagy related 4A, cysteine peptidase | 2.30 | 0.000* | 0.014* |
| ATG5 | Autophagy related 5 | −1.37 | 0.080 | 0.324 |
| ATG7 | Autophagy related 7 | 1.57 | 0.043* | 0.231 |
| ATG10 | Autophagy related 10 | −1.90 | 0.043* | 0.232 |
| ATG12 | Autophagy related 12 | −1.06 | 0.747 | 0.911 |
| NRBF2 | Nuclear receptor binding factor 2 | 1.15 | 0.364 | 0.681 |
| CTSA | Cathepsin A | 3.45 | 0.000* | 0.007* |
| CTSB | Cathepsin B | 1.81 | 0.065 | 0.291 |
| CTSC | Cathepsin C | 4.13 | 0.000* | 0.025* |
| CTSD | Cathepsin D | 2.12 | 0.085 | 0.334 |
| CTSL | Cathepsin L | 1.12 | 0.489 | 0.772 |
| NF-κB | ||||
| NFKB1 | Nuclear factor of kappa light polypeptide gene enhancer in B-cells 1 | 1.29 | 0.209 | 0.527 |
| NFKB2 | Nuclear factor of kappa light polypeptide gene enhancer in B-cells 2 (p49) | 2.41 | 0.000* | 0.008* |
| NFKBIA | Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, alpha | 3.15 | 0.003* | 0.054 |
| NFKBIB | Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, beta | 1.59 | 0.059 | 0.276 |
| NFKBID | Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, delta | −1.08 | 0.675 | 0.877 |
| NFKBIE | Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, epsilon | 1.55 | 0.046* | 0.240 |
| NFKBIL1 | Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor-like 1 | 1.17 | 0.265 | 0.589 |
| NFKBIZ | Nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor, zeta | 3.39 | 0.001* | 0.033* |
| Proinflammatory cytokines | ||||
| IL1β | Interleukin-1 beta | 2.32 | 0.182 | 0.494 |
| IL1R1 | Interleukin-1 receptor, type I | 3.08 | 0.003* | 0.050* |
| IL6 | Interleukin-6 | 4.02 | 0.012* | 0.111 |
| CXCL8 | Chemokine (C-X-C motif) ligand 8/IL-8 | 6.00 | 0.025* | 0.170 |
| IL18BP | Interleukin-18 binding protein | 2.10 | 0.015* | 0.129 |
| IL32 | Interleukin-32 | 2.55 | 0.002* | 0.040* |
| NLRP3 | NLR family, pyrin domain containing 3 | 1.57 | 0.001* | 0.034* |
| TNFAIP1 | Tumor necrosis factor, alpha-induced protein 1 (endothelial) | 1.79 | 0.047* | 0.245 |
| TNFAIP2 | Tumor necrosis factor, alpha-induced protein 2 | 7.63 | 0.000* | 0.021* |
| TNFAIP3 | Tumor necrosis factor, alpha-induced protein 3 | 9.75 | 0.001* | 0.033* |
Statistically significant.
IHC and WB Analysis
IHC analysis of the selected proteins in conjunctival biopsies showed significantly increased immunostaining for ATF6 and BiP in VKC conjunctival tissues compared to the healthy controls (Figs. 1A–1C). BiP protein in VKC was confirmed by western blotting (Fig. 1D). The levels of proteins involved in apoptosis, BAX, BCL2, and cleaved caspase-3 were similar for both the VKC group and the healthy control group (Figs. 1E, 1F). IHC expression of IL-1β and NLRP3 were also significantly higher in VKC patients compared to the healthy controls (Figs. 1G, 1H).
Figure 1.
(A) Immunohistochemistry for UPR markers BiP and ATF6 in healthy normal subjects as controls (healthy) and in VKC patients. (B) Immunostaining for ATF6 was significantly higher (*) in VKC epithelium (P = 0.006) and stroma (P = 0.01) compared to the healthy controls, but BiP was significantly higher in VKC stroma (P = 0.04). (C, D) Higher magnification (100×) of BiP positive reactivity (C) and western blotting expression (D) in tissues from one representative VKC patient. (E) Immunostaining for the apoptosis markers BAX, BCL2, and caspase-3 in VKC patients and healthy controls showed no significant differences in staining scores. (F–H) Significant increase of the immunostaining for the inflammatory marker IL-1β and NLRP3 in VKC stroma compared with healthy controls.
Cell Cultures and qPCR Analysis
Conjunctival epithelial cell cultures deprived of glucose for 24 hours (Fig. 2A) or treated with U937-activated CM (Fig. 2B) showed a significantly increased expression of ATF6, IRE1, and PERK by qPCR compared with untreated control cells. The same cells treated with U937 CM showed significantly increased expression of IL-1β and apoptosis markers BAX and caspase-3 but not BCL2 (Fig. 2C) or the autophagy marker LAMP-1 (Supplementary Fig. S1A) compared with the controls. Similarly, in the same experimental conditions, conjunctival fibroblasts treated with U937-activated CM showed significantly increased expression of ATF6, IRE1, PERK (Fig. 3A), IL-1β, BAX, and caspase-3 but not BCL2 (Fig. 3B) or autophagy markers LC3A and LC3B (Supplementary Fig. S1B).
Figure 2.
(A, B) Increased expression of ATF6, IRE1, and PERK by qPCR in conjunctival epithelial cells deprived of glucose for 24 hours (treated) (A) or after 24-hour exposure to U937-activated conditioned medium (CM) (B). Conjunctival epithelial cells showed a significant increase of ATF6, IRE1, and PERK in both stressed conditions compared with untreated cells (CTRL). (C) Increased expression of the proinflammatory factor IL-1β and the apoptosis markers BAX and caspase-3 after 24-hour exposure to U937-activated CM. ***P < 0.001, **P < 0.01, *P < 0.05.
Figure 3.
(A) Significantly increased expression of ATF6, IRE1, and PERK by qPCR in conjunctival fibroblasts after 24-hour exposure to U937-activated CM. (B) Conjunctival fibroblasts showed a significant increased expression of IL-1β, BAX, and caspase-3 in the presence of U937-activated CM compared with untreated cells (CRTL). ***P < 0.001, **P < 0.01, *P < 0.05.
Discussion
ER stress and UPR have been described to play a pathogenetic role in several inflammatory disorders,13 including allergic asthma, for which it is related to clinical severity and inflammatory phenotypes.15,21,22 Respiratory airways and ocular surfaces exposed to pro-inflammatory stimuli may experience recurring cycles of damage and repair; therefore, they may express high levels of ER and UPR. In fact, multiple non-specific environmental factors such as sunlight, heat, pollutants, and ultraviolet exposure can trigger inflammation in VKC due to poorly characterized mechanisms.4 We previously reported a possible role of autophagy in VKC pathogenesis with increased expression of autophagy markers23 and an overexpression of several HSPs in VKC conjunctival tissues,8 possibly as a non-specific response to a wide variety of unfavorable physiological and environmental conditions. In the present study, we suggest that initial pro-inflammatory stimuli in VKC may induce ER stress, misfolded protein formation, and a UPR,24 leading to inflammation rather than apoptosis. In fact, we found that genes related to protein folding were normally expressed or overexpressed and that several chaperones and genes related to the UPR were overexpressed in VKC. Because genes related to ERAD were generally upregulated, we believe that recognized misfolded proteins may be re-translocated into the cytoplasm to regain ER homeostasis or targeted for proteasomal degradation. In addition, several genes related to autophagy were upregulated but not the one related to apoptosis. These data were validated by the IHC results in VKC tissues, in which the UPR markers BiP and ATF6 were overexpressed compared to normal tissues, and the apoptosis markers were similarly expressed. Moreover, pro-inflammatory and NF-κB genes were upregulated, suggesting that ER stress and UPR in VKC are not promoting cell death but rather induce degradation of misfolded proteins and inflammation. Similarly, in a recent paper, the expression of apoptosis markers BAX and BCL2 were reduced in VKC patients together with increased expression of the inflammatory marker IL-6, suggesting that the absence of apoptosis contributes to the inflammation and severity of VKC.25
In a previous study, we highlighted downregulation of the ribosomal proteins (RPs) in VKC and suggested that several pathways involving mRNA translation, initiation, elongation, and silencing and rRNA processing in the nucleus and cytosol were significantly downregulated. It is possible that RPs, functioning as RNA chaperones, stabilize rRNAs and promote their correct folding for the assembly of ribosomal subunits.26 Downregulation of the RPs may be responsible for the abnormal response to cellular stress.
To confirm that these mechanisms can be induced in the conjunctiva, we exposed conjunctival epithelial cells and conjunctival fibroblasts to an inflammatory stress condition, which showed that three ER stress sensors (ATF6, IRE, and PERK) were upregulated in both cell type cultures. In addition, the inflammatory marker IL-1β, the apoptosis markers BAX and caspase-3, and the autophagy markers LC3A and LC3B (in epithelial cells) and LAMP-1 (in conjunctival fibroblasts) were upregulated, confirming that the stress can lead to both inflammation and cell death differently from the in vivo VKC environment, where inflammation and protein degradation pathways (but not apoptosis) were activated. We previously demonstrated in VKC the activation of multiple inflammatory processes, remodeling mechanisms,27 and proteases, including matrix metallopeptidase 9 (MMP-9),28 and the activation of autophagy as a potential protective mechanism.23 Similarly, a potential association between ER stress and regulation of the proteolytic microenvironment in ocular surface diseases has been suggested based on increased expression of the molecular chaperone GRP78/BiP and MMP-9 in pathological specimens.17
In conclusion, we demonstrated that conjunctival tissues from VKC patients exhibit high levels of ER stress. Activation of ER stress, promoting misfolded or unfolded proteins, engages the UPR machinery, which, in VKC, instead of leading to cell death, may lead to further inflammatory processes.
Supplementary Material
Acknowledgments
Supported in part by an unrestricted grant from Santen SAS.
Disclosure: A. Leonardi, Alcon (R), FAES Farma (R), FIDIA (R), Santen Pharmaceutical Co. Ltd. (C), Laboratoires Théa (R), SIFI (R); A. Donato, None; U. Rosani, None; A. Di Stefano, None; F. Cavarzeran, None; P. Brun, None
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