Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/111393
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dc.contributorSchool of Optometryen_US
dc.contributorDepartment of Applied Biology and Chemical Technologyen_US
dc.contributorResearch Centre for SHARP Visionen_US
dc.creatorKannan, Ren_US
dc.creatorShetty, Ren_US
dc.creatorPanigrahi, Ten_US
dc.creatorKoh, SKen_US
dc.creatorKhamar, Pen_US
dc.creatorDeshpande, Ven_US
dc.creatorNuijts, RMMAen_US
dc.creatorGijs, Men_US
dc.creatorNishtala, Ken_US
dc.creatorZhou, Len_US
dc.creatorGhosh, Aen_US
dc.date.accessioned2025-02-26T08:34:38Z-
dc.date.available2025-02-26T08:34:38Z-
dc.identifier.issn0146-0404en_US
dc.identifier.urihttp://hdl.handle.net/10397/111393-
dc.language.isoenen_US
dc.publisherAssociation for Research in Vision and Ophthalmologyen_US
dc.rightsCopyright 2025 The Authorsen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0).en_US
dc.rightsThe following publication Kannan, R., Shetty, R., Panigrahi, T., Koh, S. K., Khamar, P., Deshpande, V., Nuijts, R. M. M. A., Gijs, M., Nishtala, K., Zhou, L., & Ghosh, A. (2025). Untargeted Tear Proteomics in a Large South-Asian Cohort Reveals Inflammatory Signaling, ECM Remodeling, and Altered Metabolism in Keratoconus. Investigative Ophthalmology & Visual Science, 66(2), 60 is available at https://doi.org/10.1167/iovs.66.2.60.en_US
dc.subjectECMen_US
dc.subjectKeratoconusen_US
dc.subjectMolecular networksen_US
dc.subjectProteomicsen_US
dc.subjectTearsen_US
dc.titleUntargeted tear proteomics in a large South-Asian cohort reveals inflammatory signaling, ECM remodeling, and altered metabolism in keratoconusen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume66en_US
dc.identifier.issue2en_US
dc.identifier.doi10.1167/iovs.66.2.60en_US
dcterms.abstractPurpose: Keratoconus (KC), a progressive corneal degenerative disease, is characterized by focal thinning and weakening, and the molecular pathways driving such changes are still being discovered. The progression-related pathologic molecular factors have not been identified in genetic studies from KC, and stage-specific molecular changes remain unknown in prior protein studies. We address this challenge through untargeted mass spectrometry analysis in a large KC cohort.en_US
dcterms.abstractMethods: The cohort comprised 40 healthy individuals and 107 eyes with varying KC grades from 69 individuals. Quantitative proteomics using iTRAQ labeling coupled with two-dimensional nanoLC-ESI-MS/MS (TripleTOF 5600) was employed followed by validation.en_US
dcterms.abstractResults: Unbiased LC-MS/MS analysis identified 1104 proteins, with 279 quantified proteins. Thirty-two proteins exhibited significant dysregulation in tear fluids compared to the control, enriched in glycolytic pathways, extra-cellular matrix (ECM) organization, reactive oxygen detoxification, and inflammatory regulation. Cystatin-S, lacritin, glutathione synthetase, and superoxide dismutase were validated to have differential expression across each KC grade.en_US
dcterms.abstractConclusions: Our data unveiled novel tear fluid proteins involved in unique biological processes such as neutrophil degranulation, autophagy, metabolic alterations, protein phosphorylation, and more, apart from the ECM modulation and inflammatory pathways. Although the newly identified progressive KC biomarkers will help in disease characterization, identified molecular pathways may serve as novel therapeutic targets.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInvestigative ophthalmology and visual science, Feb. 2025, v. 66, no. 2, 60en_US
dcterms.isPartOfInvestigative ophthalmology and visual scienceen_US
dcterms.issued2025-02-
dc.identifier.eissn1552-5783en_US
dc.identifier.artn60en_US
dc.description.validate202502 bcchen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera3422-
dc.identifier.SubFormID50105-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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