Hadi Joud, Meisam Asgari, Victoria Emerick, Mei Sun, Marcel Y Avila, Curtis E Margo, Edgar M Espana
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引用次数: 0
Abstract
Corneal scars originate from keratocyte-derived fibroblasts and myofibroblasts that are ultimately cleared through apoptosis or revert to keratocytes. A mouse model expressing a keratocyte lineage-specific reporter KeraRT/tetO-Cre/mTmG (I-Kera mTmG) was interrogated to elucidate cell phenotype dynamics during scar maturation. This mouse model expresses tdTomato (red) in all keratocan-negative cells while eGFP (green) is expressed only by keratocytes. A 1mm full-thickness keratotomy was created in adult I-KeramTmG mice. The presence or absence of keratocytes was examined at 3-, 6- and 10-months post injury. At 3- and 6-months post-injury, few green cells were visualized at the scar borders while few or no green cells were seen in the central (core) scar. At 10-months post-injury, green cells can be seen throughout the scar, but most cells were red. Proliferation of stromal cells after injury was studied by EdU labeling and Ki-67 staining and both assays showed proliferation only during the first 2 weeks after injury. Second harmonic generation (SHG) microscopy showed thickened and irregularly arranged collagen fibers in scars suggesting that neither extracellular matrix organization nor cell phenotype had changed significantly 10-months post injury. In vivo experiments suggest that in old corneal scars, a non-keratocyte phenotype persists in an abnormal matrix with unique characteristics that probably prevent regression of fibroblasts and myofibroblasts to keratocytes or invasion of surrounding keratocytes.
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.