Pinkal D. Patel , Gaurang C. Patel , J. Cameron Millar , Sherri Feris , Stacy Curry , Eldon E. Geisert , Abbot F. Clark
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引用次数: 0
Abstract
Glucocorticoids (GCs) are widely prescribed anti-inflammatory agents. Unfortunately, many people experience negative adverse effects associated with long term GC therapy, developing GC-induced ocular hypertension (GC-OHT), which can lead to secondary glaucoma. Approximately 40% of the treated individuals are susceptible to GC-OHT. Seventy years since this discovery, the molecular mechanisms underlying GC-OHT remain unclear. We previously developed a mouse model of GC-OHT delivering the potent GC dexamethasone and observed strain-specific disparities in the development of GC-OHT. We now compare phenotypic and transcriptomic differences between five genetically distinct inbred mouse strains to identify biomarkers of GC susceptibility, and to better understand the molecular mechanisms of GC-OHT. Like humans, mouse strains differ in their ability to develop GC-OHT. Phenotypic characterization revealed that C57BL/6J and C3H/HeJ mice are GC responders and more susceptible to develop GC-OHT. Dexamethasone treatment in these strains led to elevated intraocular pressure compared with the GC nonresponder strains DBA/2J.Gpnmb+, 129P3/J, and BALB/cJ. Transcriptomic analysis of responder and nonresponder mouse strains revealed novel trabecular meshwork biomarkers of GC-OHT susceptibility involving enrichment of molecular pathways unique to this response. The present study identifies putative mechanisms underlying GC-OHT and provides insight into the pathogenesis of the clinically similar but more prevalent primary open-angle glaucoma.
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.