Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration

Abstract Background Uveitis and posterior scleritis are sight-threatening diseases with undefined pathogenesis and accurate diagnosis remains challenging. Methods Two plasma-derived extracellular vesicle (EV) subpopulations, small and large EVs, obtained from patients with ankylosing spondylitis-rel...

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Main Authors: Lingzi Wu, Lei Zhou, Jinying An, Xianfeng Shao, Hui Zhang, Chunxi Wang, Guixia Zhao, Shuang Chen, Xuexue Cui, Xinyi Zhang, Fuhua Yang, Xiaorong Li, Xiaomin Zhang
Format: Article
Language:English
Published: BMC 2023-06-01
Series:Journal of Translational Medicine
Subjects:
Online Access:https://doi.org/10.1186/s12967-023-04228-x
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author Lingzi Wu
Lei Zhou
Jinying An
Xianfeng Shao
Hui Zhang
Chunxi Wang
Guixia Zhao
Shuang Chen
Xuexue Cui
Xinyi Zhang
Fuhua Yang
Xiaorong Li
Xiaomin Zhang
author_facet Lingzi Wu
Lei Zhou
Jinying An
Xianfeng Shao
Hui Zhang
Chunxi Wang
Guixia Zhao
Shuang Chen
Xuexue Cui
Xinyi Zhang
Fuhua Yang
Xiaorong Li
Xiaomin Zhang
author_sort Lingzi Wu
collection DOAJ
description Abstract Background Uveitis and posterior scleritis are sight-threatening diseases with undefined pathogenesis and accurate diagnosis remains challenging. Methods Two plasma-derived extracellular vesicle (EV) subpopulations, small and large EVs, obtained from patients with ankylosing spondylitis-related uveitis, Behcet's disease uveitis, Vogt-Koyanagi-Harada syndrome, and posterior scleritis were subjected to proteomics analysis alongside plasma using SWATH-MS. A comprehensive bioinformatics analysis was performed on the proteomic profiles of sEVs, lEVs, and plasma. Candidate biomarkers were validated in a new cohort using ELISA. Pearson correlation analysis was performed to analyze the relationship between clinical parameters and proteomic data. Connectivity map database was used to predict therapeutic agents. Results In total, 3,668 proteins were identified and over 3000 proteins were quantified from 278 samples. When comparing diseased group to healthy control, the proteomic profiles of the two EV subgroups were more correlated with disease than plasma. Comprehensive bioinformatics analysis highlighted potential pathogenic mechanisms for these diseases. Potential biomarker panels for four diseases were identified and validated. We found a negative correlation between plasma endothelin-converting enzyme 1 level and mean retinal thickness. Potential therapeutic drugs were proposed, and their targets were identified. Conclusions This study provides a proteomic landscape of plasma and EVs involved in ankylosing spondylitis-related uveitis, Behcet's disease uveitis, Vogt-Koyanagi-Harada syndrome, and posterior scleritis, offers insights into disease pathogenesis, identifies valuable biomarker candidates, and proposes promising therapeutic agents.
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spelling doaj.art-501af1ac2ac3495e80d5808c0f45e2a22023-06-18T11:23:39ZengBMCJournal of Translational Medicine1479-58762023-06-0121112010.1186/s12967-023-04228-xComprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism explorationLingzi Wu0Lei Zhou1Jinying An2Xianfeng Shao3Hui Zhang4Chunxi Wang5Guixia Zhao6Shuang Chen7Xuexue Cui8Xinyi Zhang9Fuhua Yang10Xiaorong Li11Xiaomin Zhang12Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalDepartment of Applied Biology and Chemical Technology, School of Optometry, Research Centre for SHARP Vision (RCSV), The Hong Kong Polytechnic UniversityTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalState Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Proteome Research Center, Beijing Institute of LifeomicsTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalTangshan Eye HospitalTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalTianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye HospitalAbstract Background Uveitis and posterior scleritis are sight-threatening diseases with undefined pathogenesis and accurate diagnosis remains challenging. Methods Two plasma-derived extracellular vesicle (EV) subpopulations, small and large EVs, obtained from patients with ankylosing spondylitis-related uveitis, Behcet's disease uveitis, Vogt-Koyanagi-Harada syndrome, and posterior scleritis were subjected to proteomics analysis alongside plasma using SWATH-MS. A comprehensive bioinformatics analysis was performed on the proteomic profiles of sEVs, lEVs, and plasma. Candidate biomarkers were validated in a new cohort using ELISA. Pearson correlation analysis was performed to analyze the relationship between clinical parameters and proteomic data. Connectivity map database was used to predict therapeutic agents. Results In total, 3,668 proteins were identified and over 3000 proteins were quantified from 278 samples. When comparing diseased group to healthy control, the proteomic profiles of the two EV subgroups were more correlated with disease than plasma. Comprehensive bioinformatics analysis highlighted potential pathogenic mechanisms for these diseases. Potential biomarker panels for four diseases were identified and validated. We found a negative correlation between plasma endothelin-converting enzyme 1 level and mean retinal thickness. Potential therapeutic drugs were proposed, and their targets were identified. Conclusions This study provides a proteomic landscape of plasma and EVs involved in ankylosing spondylitis-related uveitis, Behcet's disease uveitis, Vogt-Koyanagi-Harada syndrome, and posterior scleritis, offers insights into disease pathogenesis, identifies valuable biomarker candidates, and proposes promising therapeutic agents.https://doi.org/10.1186/s12967-023-04228-xPlasmaSmall extracellular vesiclesLarge extracellular vesiclesUveitisScleritisProteomic profiles
spellingShingle Lingzi Wu
Lei Zhou
Jinying An
Xianfeng Shao
Hui Zhang
Chunxi Wang
Guixia Zhao
Shuang Chen
Xuexue Cui
Xinyi Zhang
Fuhua Yang
Xiaorong Li
Xiaomin Zhang
Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration
Journal of Translational Medicine
Plasma
Small extracellular vesicles
Large extracellular vesicles
Uveitis
Scleritis
Proteomic profiles
title Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration
title_full Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration
title_fullStr Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration
title_full_unstemmed Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration
title_short Comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration
title_sort comprehensive profiling of extracellular vesicles in uveitis and scleritis enables biomarker discovery and mechanism exploration
topic Plasma
Small extracellular vesicles
Large extracellular vesicles
Uveitis
Scleritis
Proteomic profiles
url https://doi.org/10.1186/s12967-023-04228-x
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