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Background: Overexpression of tear matrix metalloproteinases-9 (MMP-9) on the ocular surface tissues has been reported to result in ocular surface damage. MMP-9 levels in tears have been listed as one of many tools for confirming dry eye disease (DED).
Objective: This investigation aimed to compare MMP-9 levels and ocular surface parameters in diabetic patients with and without DED.
An update on emerging pharmacological treatments for meibomian gland dysfunction.
Expert Opin Pharmacother
January 2025
Eye Clinic, Department of Surgical Sciences, University of Cagliari, Cagliari, Italy.
Introduction: Meibomian Gland Dysfunction (MGD) represents the most common cause of dry eye disease (DED). Traditional treatments mainly rely on heating and liquifying the meibum to favor its expression. However, recent knowledge advances have led to the development of novel therapies specifically designed for patients with MGD.
View Article and Find Full Text PDFEfficacy and safety of transient receptor potential channel modulators for dry eye: A systematic review and meta-analysis.
Cont Lens Anterior Eye
January 2025
Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China; Department of Integrative Medicine, Baoshan Campus of Huashan Hospital, Fudan University, Shanghai, China. Electronic address:
Purpose: To investigate the efficacy and safety of transient receptor potential (TRP) channel modulators for dry eye.
Methods: A thorough search for randomized clinical trials was conducted in seven databases up to February 16, 2024. Suitable studies were identified according to inclusion and exclusion criteria, extracted data were synthesized and analyzed using Review Manager 5.
Real-world analysis of medications inducing meibomian gland dysfunction: based on the FDA adverse event reporting system database.
Expert Opin Drug Saf
January 2025
Eye Institute & Affiliated Xiamen Eye Center, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Background: Dry eye syndrome (DES) has become a significant public health issue, impacting quality of life. Meibomian Gland Dysfunction (MGD) is a primary contributor to DES, and its etiology includes diverse factors. Given the potential for drug-induced MGD, comprehensive investigation into this association is crucial.
View Article and Find Full Text PDFPredicting autoimmune thyroiditis in primary Sjogren's syndrome patients using a random forest classifier: a retrospective study.
Arthritis Res Ther
January 2025
Scientific Research Project Department, Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou), Pazhou Lab, Guangzhou, China.
Article Synopsis
- The study examines how effective machine learning, particularly the Random Forest Classifier, is in predicting thyroid-specific autoantibodies in patients with Primary Sjogren's syndrome (pSS) based on clinical data.
- A total of 96 pSS patients were analyzed through thyroid function tests to categorize them by the presence of autoantibodies, leading to the exploration of various risk factors using four different machine learning algorithms.
- The Random Forest Classifier yielded the best results (AUC = 0.755), highlighting age, IgG levels, complement C4, and dry mouth as significant predictors for autoimmune thyroiditis in these patients.
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