scholarly journals Omega-3 supplementation is neuroprotective to corneal nerves in dry eye disease: a pilot study

2017 ◽  
Vol 37 (4) ◽  
pp. 473-481 ◽  
Author(s):  
Holly R. Chinnery ◽  
Cecilia Naranjo Golborne ◽  
Laura E. Downie
Keyword(s):  
Pilot Study ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Omega 3 ◽  
Corneal Nerves

Effect of a Novel Omega-3 and Omega-6 Fatty Acid Supplement on Dry Eye Disease

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Alison Ng ◽  
Jill Woods ◽  
Theresa Jahn ◽  
Lyndon W. Jones ◽  
Jenna Sullivan Ritter
Keyword(s):  
Fatty Acid ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Omega 3 ◽  
Acid Supplement ◽  
Omega 6 ◽  
Fatty Acid Supplement

scholarly journals Randomized, Controlled, Double-Masked, Multicenter, Pilot Study Evaluating Safety and Efficacy of Intranasal Neurostimulation for Dry Eye Disease

2019 ◽  
Vol 60 (1) ◽  
pp. 147 ◽  
Author(s):  
Geoffrey S. Cohn ◽  
Dean Corbett ◽  
Abi Tenen ◽  
Minas Coroneo ◽  
James McAlister ◽  
...  
Keyword(s):  
Pilot Study ◽  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Safety And Efficacy ◽  
Randomized Controlled

scholarly journals Association between aging-dependent gut microbiome dysbiosis and dry eye severity in C57BL/6 male mouse model: a pilot study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chang Ho Yoon ◽  
Jin Suk Ryu ◽  
Jayoon Moon ◽  
Mee Kum Kim
Keyword(s):  
Pilot Study ◽  
Dry Eye ◽  
Gut Microbiome ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Male Mice ◽  
Tear Secretion ◽  
Gut Dysbiosis ◽  
Α Diversity ◽  
Corneal Staining

Abstract Background While aging is a potent risk factor of dry eye disease, age-related gut dysbiosis is associated with inflammation and chronic geriatric diseases. Emerging evidence have demonstrated that gut dysbiosis contributes to the pathophysiology or exacerbation of ocular diseases including dry eye disease. However, the relationship between aging-related changes in gut microbiota and dry eye disease has not been elucidated. In this pilot study, we investigated the association between aging-dependent microbiome changes and dry eye severity in C57BL/6 male mice. Results Eight-week-old (8 W, n = 15), one-year-old (1Y, n = 10), and two-year-old (2Y, n = 8) C57BL/6 male mice were used. Dry eye severity was assessed by corneal staining scores and tear secretion. Bacterial genomic 16 s rRNA from feces was analyzed. Main outcomes were microbiome compositional differences among the groups and their correlation to dry eye severity. In aged mice (1Y and 2Y), corneal staining increased and tear secretion decreased with statistical significance. Gut microbiome α-diversity was not different among the groups. However, β-diversity was significantly different among the groups. In univariate analysis, phylum Firmicutes, Proteobacteria, and Cyanobacteria, Firmicutes/Bacteroidetes ratio, and genus Alistipes, Bacteroides, Prevotella, Paraprevotella, and Helicobacter were significantly related to dry eye severity. After adjustment of age, multivariate analysis revealed phylum Proteobacteria, Firmicutes/Bacteroidetes ratio, and genus Lactobacillus, Alistipes, Prevotella, Paraprevotella, and Helicobacter to be significantly associated with dry eye severity. Conclusions Our pilot study suggests that aging-dependent changes in microbiome composition are related to severity of dry eye signs in C57BL/6 male mice.

scholarly journals The Role of Neuropeptides in Pathogenesis of Dry Dye

2021 ◽  
Vol 10 (18) ◽  
pp. 4248
Author(s):  
Daniel Duck-Jin Hwang ◽  
Seok-Jae Lee ◽  
Jeong-Hun Kim ◽  
Sang-Mok Lee
Keyword(s):  
Dry Eye ◽  
Dry Eye Disease ◽  
Eye Disease ◽  
Future Research ◽  
Immune Systems ◽  
Pathogenic Mechanisms ◽  
Corneal Nerves ◽  
Ocular Surface Diseases ◽  
Corneal Nerve

Neuropeptides are known as important mediators between the nervous and immune systems. Recently, the role of the corneal nerve in the pathogenesis of various ocular surface diseases, including dry eye disease, has been highlighted. Neuropeptides are thought to be important factors in the pathogenesis of dry eye disease, as suggested by the well-known role between the nervous and immune systems, and several recently published studies have elucidated the previously unknown pathogenic mechanisms involved in the role of the neuropeptides secreted from the corneal nerves in dry eye disease. Here, we reviewed the emerging concept of neurogenic inflammation as one of the pathogenic mechanisms of dry eye disease, the recent results of related studies, and the direction of future research.

scholarly journals Explanatory Model of Dry Eye Disease Using Health and Nutrition Examinations: Machine Learning and Network-Based Factor Analysis From a National Survey

10.2196/16153 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e16153
Author(s):  
Sang Min Nam ◽  
Thomas A Peterson ◽  
Atul J Butte ◽  
Kyoung Yul Seo ◽  
Hyun Wook Han
Keyword(s):  
Machine Learning ◽  
Factor Analysis ◽  
Dry Eye ◽  
Associated Factors ◽  
Dry Eye Disease ◽  
Explanatory Model ◽  
Patient Specific ◽  
Eye Disease ◽  
Omega 3 ◽  
Health And Nutrition

Background Dry eye disease (DED) is a complex disease of the ocular surface, and its associated factors are important for understanding and effectively treating DED. Objective This study aimed to provide an integrative and personalized model of DED by making an explanatory model of DED using as many factors as possible from the Korea National Health and Nutrition Examination Survey (KNHANES) data. Methods Using KNHANES data for 2012 (4391 sample cases), a point-based scoring system was created for ranking factors associated with DED and assessing patient-specific DED risk. First, decision trees and lasso were used to classify continuous factors and to select important factors, respectively. Next, a survey-weighted multiple logistic regression was trained using these factors, and points were assigned using the regression coefficients. Finally, network graphs of partial correlations between factors were utilized to study the interrelatedness of DED-associated factors. Results The point-based model achieved an area under the curve of 0.70 (95% CI 0.61-0.78), and 13 of 78 factors considered were chosen. Important factors included sex (+9 points for women), corneal refractive surgery (+9 points), current depression (+7 points), cataract surgery (+7 points), stress (+6 points), age (54-66 years; +4 points), rhinitis (+4 points), lipid-lowering medication (+4 points), and intake of omega-3 (0.43%-0.65% kcal/day; −4 points). Among these, the age group 54 to 66 years had high centrality in the network, whereas omega-3 had low centrality. Conclusions Integrative understanding of DED was possible using the machine learning–based model and network-based factor analysis. This method for finding important risk factors and identifying patient-specific risk could be applied to other multifactorial diseases.

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