Difluprednate (DFP) (difluoroprednisolone butyrate acetate, or DFBA) ophthalmic emulsion 0.05% (Durezol®) was the first potent corticosteroid to be approved for both postoperative pain and inflammation in 2008. In June 2012, it was approved for the treatment of endogenous anterior uveitis. It is a synthetic difluorinated prednisolone derivative that was originally developed in Japan as a dermatologic ointment. The glucocorticoid binding affinity of its active metabolite was demonstrated to be 56 times stronger than prednisolone. Experimental models showed that it reached the anterior and posterior segments of the eye quickly, via both transcorneal and noncorneal (conjunctiva and sclera) absorption routes. Its clinical applications have been expanded to treat patients with uveitic macular edema and anterior scleritis. Case reports and case series also describe its use in some forms of posterior uveitis and in non-uveitic entities. Elevated intraocular pressure and acceleration of cataract formation are the main concerns with DFP as with all corticosteroids. Because IOP elevation is particularly pronounced in the pediatric age group, IOP is to be closely monitored at every visit in children. High incidence of cataract formation and progression was also documented in children, thus necessitating vigilant follow-up of children on chronic treatment. This review aims to give a comprehensive and up-to-date overview of difluprednate's pharmacological properties, clinical applications, safety profiles, and alternative delivery methods.

Download full-text PDF

Source
http://dx.doi.org/10.1080/09273948.2024.2423869DOI Listing

Publication Analysis

Top Keywords

clinical applications
8
cataract formation
8
review difluprednate
4
difluprednate inflammatory
4
inflammatory eye
4
eye disorders
4
disorders topical
4
topical steroid
4
steroid distance
4
distance difluprednate
4

Similar Publications

Isolation and characterization of ɸEcM-vB1 bacteriophage targeting multidrug-resistant Escherichia coli.

BMC Res Notes

January 2025

Department of Microbiology and Immunology, Faculty of Pharmacy, Damanhour University, Damanhour, Egypt.

Objectives: The aim of this study is to screen for, isolate and characterize a bacteriophage designated ɸEcM-vB1 with confirmed lytic activity against multidrug-resistant (MDR) E. coli. Methods done in this research are bacteriophage isolation, purification, titer determination, bacteriophage morphology, host range determination, bacteriophage latent period and burst size determination, genomic analysis by restriction enzymes, and bacteriophage total protein content determination.

View Article and Find Full Text PDF

Opportunities and challenges of bacterial extracellular vesicles in regenerative medicine.

J Nanobiotechnology

January 2025

Stomatological Hospital, School of Stomatology, Southern Medical University, Guangzhou, Guangdong, China.

Extracellular vesicles (EVs) are membrane-bound vesicles that are shed or secreted from the cell membrane and enveloped by a lipid bilayer. They possess stability, low immunogenicity, and non-cytotoxicity, exhibiting extensive prospects in regenerative medicine (RM). However, natural EVs pose challenges, such as insufficient targeting capabilities, potential biosafety concerns, and limited acquisition pathways.

View Article and Find Full Text PDF

Introduction: Artificial intelligence (AI) applications have increased dramatically across a wide range of domains. Dental students will undoubtedly be impacted by the emergence of AI in dentistry.

Aim: This study aimed to evaluate the knowledge, attitudes, and perceptions of a group of Egyptian dental students toward artificial intelligence.

View Article and Find Full Text PDF

Automatic segmentation of white matter lesions on multi-parametric MRI: convolutional neural network versus vision transformer.

BMC Neurol

January 2025

Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, School of Medicine, College of Medicine, National Sun Yat-Sen University, No. 123 Ta-Pei Road, Niao-Sung Dist, Kaohsiung, 83305, Taiwan.

Background And Purpose: White matter hyperintensities in brain MRI are key indicators of various neurological conditions, and their accurate segmentation is essential for assessing disease progression. This study aims to evaluate the performance of a 3D convolutional neural network and a 3D Transformer-based model for white matter hyperintensities segmentation, focusing on their efficacy with limited datasets and similar computational resources.

Materials And Methods: We implemented a convolution-based model (3D ResNet-50 U-Net with spatial and channel squeeze & excitation) and a Transformer-based model (3D Swin Transformer with a convolutional stem).

View Article and Find Full Text PDF

Our objective is to determine the protein and complements constituents of Cord blood Platelet-rich plasma (CB-PRP), based on the hypothesis that it contains beneficial components capable of arresting or potentially decelerating the advancement of atrophic age-related macular degeneration (dry-AMD), with the support of radiomics. Two distinct pools of CB-PRP were assessed, each pool obtained from a total of 15 umbilical cord-blood donors. One aliquot of each pool respectively was subjected to proteomic analysis in order to enhance the significance of our findings, by identifying proteins that are shared between the two sample pools and gaining insights into the pathways they are associated with.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!