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. 2022 Jun 23:16:2093-2103.
doi: 10.2147/OPTH.S364739. eCollection 2022.

Analysis of Glaucoma Associated Genes in Response to Inflammation, an Examination of a Public Data Set Derived from Peripheral Blood from Patients with Hepatitis C

Affiliations

Analysis of Glaucoma Associated Genes in Response to Inflammation, an Examination of a Public Data Set Derived from Peripheral Blood from Patients with Hepatitis C

Jacob K Player et al. Clin Ophthalmol. .

Abstract

Introduction: Glaucoma is the second leading cause of blindness worldwide and despite its prevalence, there are still many unanswered questions related to its pathogenesis. There is evidence that oxidative stress and inflammation play a major role in disease progression. Glaucoma patients from several studies showed altered gene expression in leukocytes, revealing the possibility of using peripheral biomarkers to diagnose or stage glaucoma. The fact that glaucoma is associated with gene expression changes in tissues distant from the retina underscores the possible involvement of systemic oxidative stress and inflammation as potential contributing or compounding factors in glaucoma.

Methods: We assembled a list of oxidative stress and inflammatory markers related to glaucoma based on a review of the literature. In addition, we utilized publicly available data sets of gene expression values collected from peripheral blood mononuclear cells and macrophages from two patient groups: those chronically infected by the hepatitis C virus and those who have cleared it. Activation of the innate immune response can render cells or tissues more responsive to a second delayed proinflammatory stimulus. Additional gene expression data from these cells after subsequent polyinosinic:polycytidylic acid treatment, used to elicit an acute inflammatory response, allowed for the investigation of the acute inflammatory response in these groups. We used fold-change comparison values between the two patient groups to identify genes of interest.

Results: A comparison analysis identified 17 glaucoma biomarkers that were differentially expressed in response to HCV-mediated inflammation. Of these 17, six had significant p-values in the baseline vs treated values. Expression data of these genes were compared between patients who had cleared the Hepatitis C virus versus those who had not and identified three genes of interest for further study.

Discussion: These results support our hypothesis that inflammation secondary to Hepatitis C virus infection affects the expression of glaucoma biomarker genes related to the antioxidant response and inflammation. In addition, they provide several potential targets for further research into understanding the relationship between innate responses to viral infection and inflammatory aspects of glaucoma and for potential use as a predictive biomarker or pharmacological intervention in glaucoma.

Keywords: expression analysis; in silico analysis; inflammation; peripheral blood mononuclear cells.

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Conflict of interest statement

The authors report no conflicts of interest in relation to this work and declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The research reported in this publication was supported in part by grants from the National Eye Institute (EY022774, EY031248) of the National Institutes of Health (PK). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additional support by the Felix and Carmen Sabates Missouri Endowed Chair in Vision Research, a Challenge Grant from Research to Prevent Blindness and the Vision Research Foundation of Kansas City, is gratefully acknowledged.

Figures

Figure 1
Figure 1
Regions of the eye expressing glaucoma biomarker genes found to be responsive to Poly(I:C) challenge in peripheral blood samples. Regions of the eye are listed along with the encoded proteins likely to affect them from the differentially expressed genes identified in Table 2. Differentially expressed genes were detected using microarray analysis of PBMCs taken from human blood samples of patients infected with HCV and then challenged with poly(I:C). Red indicates decreased PBMC gene expression compared to baseline in response to poly(I:C) challenge, while green indicates increased expression compared to baseline. Please note that the expression levels were not found in the regions indicated in the figure and do not represent them. That is beyond the scope of the current study. The regional classifications demonstrate areas where glaucoma-related immune response genes/proteins may be investigated in future studies.

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