Hyun Hee Ju, Jiyoung Lee, Seon-Kyu Kim, Seon-Young Kim, Jin-Hyun Ahn, Nikolai Skiba, Vasantha Rao, Jin A Choi
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引用次数: 0
Abstract
Cytomegalovirus (CMV)-induced anterior uveitis is linked to increased intraocular pressure, suggesting profibrotic changes in the eye's drainage system. Previous studies on the aqueous humor (AH) of patients with CMV uveitic glaucoma (UG) highlighted the activation of the liver X receptor (LXR) pathway, yet a potential that it has a role in increased intraocular pressure remained unelucidated. Herein, we explored the LXR pathway's role in AH outflow in UG. Global transcriptional analysis revealed that LXR activation primarily induces transforming growth factor-β signaling, with growth differentiation factor 15 (GDF-15), a growth factor in the transforming growth factor-β superfamily, being one of the most up-regulated genes in LXR-agonist-treated trabecular meshwork cells. GDF-15 levels showed a twofold expression in the AH of patients with UG (n = 44) compared with controls (n = 24; P = 0.024) and increased with more anti-glaucoma eyedrops and glaucoma surgeries (P < 0.05). LXRα/β and GDF-15 were found in human outflow tissue and were up-regulated by lipopolysaccharide and CMV infection. In an experimental endotoxin uveitis model, GDF-15 levels were up-regulated by the treatment with LXR agonists and lipopolysaccharide. In human trabecular meshwork cells, LXR agonists triggered actin stress fiber formation and α-smooth muscle actin expression, both reduced by GDF-15 neutralization. These results suggest that the LXR-GDF-15 pathway contributes to profibrotic changes in UG and plays a role in disease pathogenesis.
期刊介绍:
The American Journal of Pathology, official journal of the American Society for Investigative Pathology, published by Elsevier, Inc., seeks high-quality original research reports, reviews, and commentaries related to the molecular and cellular basis of disease. The editors will consider basic, translational, and clinical investigations that directly address mechanisms of pathogenesis or provide a foundation for future mechanistic inquiries. Examples of such foundational investigations include data mining, identification of biomarkers, molecular pathology, and discovery research. Foundational studies that incorporate deep learning and artificial intelligence are also welcome. High priority is given to studies of human disease and relevant experimental models using molecular, cellular, and organismal approaches.