| Literature DB >> 21139696 |
Tais H Wakamatsu1, Murat Dogru, Igarashi Ayako, Yoji Takano, Yukihiro Matsumoto, Osama M A Ibrahim, Naoko Okada, Yoshiyuki Satake, Kazumi Fukagawa, Jun Shimazaki, Kazuo Tsubota, Hiroshi Fujishima.
Abstract
BACKGROUND: Although the oxidative stress status in atopic skin disease has been reported to be elevated, there are still no studies related to the status of oxidative stress in atopic ocular surface disease. The purpose of this study was to evaluate the ocular surface lipid oxidative stress status and inflammation in atopic keratoconjunctivitis (AKC) patients and normal subjects.Entities:
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Year: 2010 PMID: 21139696 PMCID: PMC2994734
Source DB: PubMed Journal: Mol Vis ISSN: 1090-0535 Impact factor: 2.367
Comparison of tear functions and ocular surface vital stainings between AKC patients and healthy control subjects.
| Tear break-up time (BUT - seconds) | 5.1±2.6* | 7.8±2.3 |
| Schirmer test 1 (mm) | 11.7±8.7* | 18.1±8.1 |
| Fluorescein staining (0-9 points) | 3.9±3.2* | 0.4±1.0 |
| Conjunctival injection grade (0-3points) | 2.0±1.0* | 0.1±0.2 |
The asterisk indicates a p< 0.05 using the Mann-Whitney Test.
Figure 1Representative anterior segment photographs and brush cytology samples showing comparison of inflammatory cell infiltrates in an AKC patient and a control. Anterior segment photographs show extensive corneal damage visualized by the fluorescein staining in patient with AKC. Note that the superficial punctate keratopathy is present in almost all the surface of the cornea and is associated to the increased proliferation of the conjunctival papillae (A, B). The photograph on the left side represents a normal cornea with no conjunctival proliferation on the tarsal conjunctiva (C, D). Note the extensive inflammatory infiltrates in Diff-Quik staining from brush cytology samples in the AKC patient (E) compared with the healthy control subject (G). The graphic shows the comparison of mean percentage inflammatory cells stained by DQ between the two groups (F).
Figure 2Representative immunohistochemistry stainings for the early lipid oxidation marker in brush cytology specimens from an AKC patient and a control subject. Note the extensive lipid oxidative stress damage in the HEL immunohistochemistry staining from brush cytology samples of an AKC patient (A) compared to the healthy control subject (D). Note the significantly higher percentage of cells stained by HEL in patients with AKC (C). B and E represent the negative controls from the immunohistochemistry.
Figure 3Representative immunohistochemistry stainings for the late lipid oxidation marker in brush cytology specimens from an AKC patient and a control subject. Note the extensive lipid oxidative stress damage in the 4HNE immunohistochemistry staining from brush cytology samples of an AKC (A) patient compared to the healthy control subject (D). Note the significantly higher percentage of cells stained by 4HNE in patients with AKC (C). B and E represent the negative control from the immunohistochemistry.
Figure 4Comparison of tear cytokine levels between AKC patients and age and sex matched healthy control subjects.
Correlations between tear IL-4, IL-5, and TNF-α cytokine levels and HEL and 4-HNE positively stained cells.
| IL-4 | r=0.2070 | >0.05 | r=0.0820 | >0.05 |
| IL-5 | r=0.7806 | <0.0001* | r=0.5646 | <0.05* |
| TNF-α | r=0.4148 | <0.05* | r=0.2751 | >0.05 |
Figure 5Comparison of tear hexanoyl-lysine levels between AKC patients and age and sex matched healthy control subjects.
Figure 6Representative immunohistochemistry staining for oxidative stress and inflammatory cell markers in papillae samples from an AKC patient. Note the presence of several inflammatory cells characterized by eosinophils in dark-pink color stained by toluidine blue (A). The polymorph inflammatory cells are stained by the anti-CD45 antibody and evidenced by dark-brown staining (B). The presence of oxidative stress damage is observed by the immunohistochemistry staining for 4HNE (C) and HEL (D). Note that the dark-brown color represents the oxidative stress damage sites.
Figure 7Correlation between inflammation, corneal epithelial cell damage and HEL tear levels. Conjunctival lipid oxidative stress was strongly correlated with tear HEL levels (A) and conjunctival inflammation (B). A significant linear positive correlation between epithelial damage scores and epithelial lipid oxidative stress status was observed (C).
Figure 8Correlation between inflammation, corneal epithelial cell damage and 4-HNE staining. Conjunctival lipid oxidative stress (4-HNE) was correlated with conjunctival inflammation (A) and corneal epithelial damage scores (B).