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Updated: Mar 8, 2026

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Establishing a Porcine Ex Vivo Cornea Model for Studying Drug Treatments against Bacterial Keratitis
Published on: May 12, 2020
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Challenges of corneal infections
Expert Review of Ophthalmology
|January 17, 2017
Summary
Microbial keratitis, a leading cause of blindness, can be treated with novel approaches like photoactivated chromophore and antimicrobial corneal cross-linking (PACK-CXL). Further research is needed to refine these promising treatments for better clinical outcomes.
Area of Science:
- Ophthalmology
- Infectious Diseases
- Microbiology
Background:
- Ocular infections, including microbial keratitis, are a significant global cause of blindness.
- Infections by fungi, bacteria, or viruses can lead to severe vision loss, corneal scarring, perforation, and endophthalmitis.
- Animal models and clinical studies offer insights into disease pathogenesis and potential new treatments.
Purpose of the Study:
- To review advances in understanding microbial keratitis pathogenesis.
- To explore how animal models and clinical studies inform improved treatment strategies.
- To discuss novel therapeutic approaches, including photoactivated chromophore and antimicrobial corneal cross-linking (PACK-CXL).
Main Methods:
- Review of existing literature on animal models and clinical studies of microbial keratitis.
- Analysis of emerging treatment modalities and their potential clinical applications.
- Focus on the novel approach of PACK-CXL for bacterial keratitis.
Main Results:
- Animal models have elucidated disease pathogenesis, suggesting new treatment avenues.
- Emerging clinical data supports the efficacy of some novel therapeutic strategies.
- PACK-CXL is presented as a promising novel treatment for bacterial keratitis.
Conclusions:
- Advances in understanding disease pathogenesis are guiding improved clinical treatments for microbial keratitis.
- Novel therapies such as lipid-based treatments, small molecule inhibitors, and microRNA therapies show promise.
- Increased basic and clinical research is recommended to refine the efficacy of procedures like PACK-CXL.
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