Tear Global Metabolomic Differences in Pre-Operative Cataract Patients With and Without Dry Eye Disease.

IF 1.7 4区 医学 Q3 OPHTHALMOLOGY
Morten Gundersen, Christian Nilsen, Per Jensen, Mazyar Yazdani, Øygunn Utheim, Elise Sandås Sand, Helge Rootwelt, Kjell Gunnar Gundersen, Katja Benedikte Prestø Elgstøen
{"title":"Tear Global Metabolomic Differences in Pre-Operative Cataract Patients With and Without Dry Eye Disease.","authors":"Morten Gundersen, Christian Nilsen, Per Jensen, Mazyar Yazdani, Øygunn Utheim, Elise Sandås Sand, Helge Rootwelt, Kjell Gunnar Gundersen, Katja Benedikte Prestø Elgstøen","doi":"10.1080/02713683.2025.2472369","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The primary aim of this article was to investigate differences in the metabolomic profile of tear fluid obtained from pre-operative cataract patients, with or without dry eye disease. The objective was to look for metabolomic signatures that might discriminate between the two groups.</p><p><strong>Methods: </strong>A total of 222 patients were enrolled in the study. Eighty-one were randomly selected for metabolomic analysis from both dry eye positive and dry eye negative groups, categorized prior to cataract surgery. Tear film was collected using Schirmer-1 strips and analyzed using an optimized method developed for low-volume Schirmer samples and allowing for repeated analyses, including other -omics approaches at a later stage. Metabolomic data were collected using a global liquid chromatography-mass spectrometry method. Samples were compared using principal component analysis and volcano plots to look for overall global differences as well as group-specific metabolic signatures.</p><p><strong>Results: </strong>All samples were analyzed with a high number of features identified. No group-specific clustering was observed in principal component analysis for the dry eye positive or dry eye negative groups. However, volcano plots revealed that a majority of the metabolomic features had lower concentration in the dry eye positive group compared to the dry eye negative group. Four of these features had a Log<sub>2</sub>-fold change ≤ -1 and <i>p</i> value ≤.05. These warrant further study.</p><p><strong>Conclusion: </strong>Although no overall global difference was observed on the principal component analysis plots, a general trend of lower metabolite concentrations in the dry eye disease group was shown. Moreover, several metabolites of interest were discovered with significantly different signal intensities between the groups. These metabolites may aid future diagnostics and serve as possible biomarkers and therapeutic targets for dry eye disease in pre-operative cataract patients.</p>","PeriodicalId":10782,"journal":{"name":"Current Eye Research","volume":" ","pages":"1-11"},"PeriodicalIF":1.7000,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Eye Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/02713683.2025.2472369","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: The primary aim of this article was to investigate differences in the metabolomic profile of tear fluid obtained from pre-operative cataract patients, with or without dry eye disease. The objective was to look for metabolomic signatures that might discriminate between the two groups.

Methods: A total of 222 patients were enrolled in the study. Eighty-one were randomly selected for metabolomic analysis from both dry eye positive and dry eye negative groups, categorized prior to cataract surgery. Tear film was collected using Schirmer-1 strips and analyzed using an optimized method developed for low-volume Schirmer samples and allowing for repeated analyses, including other -omics approaches at a later stage. Metabolomic data were collected using a global liquid chromatography-mass spectrometry method. Samples were compared using principal component analysis and volcano plots to look for overall global differences as well as group-specific metabolic signatures.

Results: All samples were analyzed with a high number of features identified. No group-specific clustering was observed in principal component analysis for the dry eye positive or dry eye negative groups. However, volcano plots revealed that a majority of the metabolomic features had lower concentration in the dry eye positive group compared to the dry eye negative group. Four of these features had a Log2-fold change ≤ -1 and p value ≤.05. These warrant further study.

Conclusion: Although no overall global difference was observed on the principal component analysis plots, a general trend of lower metabolite concentrations in the dry eye disease group was shown. Moreover, several metabolites of interest were discovered with significantly different signal intensities between the groups. These metabolites may aid future diagnostics and serve as possible biomarkers and therapeutic targets for dry eye disease in pre-operative cataract patients.

求助全文
约1分钟内获得全文 求助全文
来源期刊
Current Eye Research
Current Eye Research 医学-眼科学
CiteScore
4.60
自引率
0.00%
发文量
163
审稿时长
12 months
期刊介绍: The principal aim of Current Eye Research is to provide rapid publication of full papers, short communications and mini-reviews, all high quality. Current Eye Research publishes articles encompassing all the areas of eye research. Subject areas include the following: clinical research, anatomy, physiology, biophysics, biochemistry, pharmacology, developmental biology, microbiology and immunology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信