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dc.contributor.authorLópez-López, M.
dc.contributor.authorRegueiro Lorenzo, Uxía
dc.contributor.authorBravo López, Susana Belén
dc.contributor.authorChantada Vázquez, María Pilar
dc.contributor.authorPena, C.
dc.contributor.authorDíez-Feijoo, E.
dc.contributor.authorHervella Lorenzo, Pablo
dc.contributor.authorLema Gesto, Isabel
dc.date.accessioned2025-08-26T09:29:20Z
dc.date.available2025-08-26T09:29:20Z
dc.date.issued2022
dc.identifier.citationLópez-López M, Regueiro U, Bravo SB, Chantada-Vázquez MdP, Pena C, Díez-Feijoo E, et al. Shotgun Proteomics for the Identification and Profiling of the Tear Proteome of Keratoconus Patients. Investigative Ophthalmology and Visual Science. 2022;63(5).
dc.identifier.issn1552-5783
dc.identifier.otherhttps://portalcientifico.sergas.gal/documentos/63389a34250f6f213536153f*
dc.identifier.urihttp://hdl.handle.net/20.500.11940/20684
dc.description.abstractPURPOSE. The qualitative approach followed in this study aims to obtain an extensive view of the keratoconus (KC) tear proteome, which could highlight proteins previously undetected and enlarge our knowledge of the disease's pathophysiology. METHODS. Twenty-five patients diagnosed with KC and 25 control subjects were studied in a prospective, cross-sectional study. KC screening examinations, including clinical and tomographic examinations, were performed on all participants. Tear samples were collected using Schirmer strips and analyzed by liquid chromatography-tandem mass spectrometry in a data-dependent workflow. A spectral count was used as a semiquantification tool. The tear proteomes of both groups were identified and profiled, and the functional interactions and biological characterization of differential proteins were analyzed using in silico tools. RESULTS. We identified a total of 232 proteins, of whom 133 were expressed in both groups' samples; 41 were observed only in control samples and 58 were identified just in tears of patients with KC. A semiquantitative analysis showed the dysregulation of 17 proteins in the KC samples. An in silico analysis linked proteins only expressed in KC samples to oxidative stress, skin development, and apoptosis. The dysregulation of proteins involved in iron transport, inflammation, oxidative stress, and protease inhibition was observed in the semiquantitative results. CONCLUSIONS. A shotgun analysis showed that the tear proteome of patients with KC differed from controls by more than one-third of the total proteins identified, highlighting the relationship of the proteins only expressed in KC tears with processes of cell death, oxidative damage, and inflammation. The underexpression of proteins involved in iron pathways might support the iron imbalance as a contributing factor to cellular damage and death in KC disease.en
dc.description.sponsorshipFunded by a grant from the Spanish Ministry of Economy and Competitiveness (Instituto de Salud Carlos III: PI18/00159); Xunta de Galicia (Conselleria de Economia e Industria: IN607A2018/3), and the European Union Program ERFD. M. Lopez-Lopez recognizes the support from Spanish Research Network on Cerebrovascular Diseases INVICTUS PLUS (RD16/0019/0001). Similarly, U. Regueiro acknowledges a Xunta de Galicia (Galician Innovation Agency GAIN: IN606B-2021/001) postdoctoral fellowship. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.en
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleShotgun Proteomics for the Identification and Profiling of the Tear Proteome of Keratoconus Patients*
dc.typeArticleen
dc.authorsophosLópez-López, I. M.
dc.authorsophosRegueiro, U.
dc.authorsophosBravo, S. B.
dc.authorsophosChantada-Vázquez, M. D. P.
dc.authorsophosPena, C.
dc.authorsophosDíez-Feijoo, E.
dc.authorsophosHervella, P.
dc.authorsophosLema
dc.identifier.doi10.1167/iovs.63.5.12
dc.identifier.sophos63389a34250f6f213536153f
dc.issue.number5
dc.journal.titleInvestigative Ophthalmology and Visual Science*
dc.relation.projectIDSpanish Ministry of Economy and Competitiveness (Instituto de Salud Carlos III) [PI18/00159]; Xunta de Galicia (Conselleria de Economia e Industria) [IN607A2018/3]; European Union Program ERFD; Spanish Research Network on Cerebrovascular Diseases INVICTUS PLUS [RD16/0019/0001]; Xunta de Galicia (Galician Innovation Agency GAIN) [IN606B-2021/001]
dc.relation.publisherversionhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123485/pdf/iovs-63-5-12.pdf;https://watermark.silverchair.com/i1552-5783-63-5-12_1652248854.9576.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAvkwggL1BgkqhkiG9w0BBwagggLmMIIC4gIBADCCAtsGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMjrZ7PaXZz1lyfR6bAgEQgIICrMeXzBClOUxJes8pYG8xKv7NY--F9Pw4ck_93_7x6T94w9DIQtVkoZg9V8uomTg9_7PgjRe9t-kUgrvyQDCIMDwCHj675smwnTeZywy5Xyq0mWcSp_eIvB-4ZDtmkEASFwOSP9HPTnPmw-32QH4TZFqifdpn4151VqoR20aKF9NwhbDJydm7VVwgCOu7DKjWZSY04uunss_ai7KCfTcgwGA6sxJJGw22EPJ8nIDfse_ZoZJEuhu3ifRVIXKFQz3QmHMd7fdze1Iwm4sxXIE2GOuXVcEvG7lZVRmqtkG55de4KXfBbLNnQkA-yTovYVeeSP4TLO0TmZoa107g_BwqIybQt9MDtDGIGCQUsHqxZ2jhL2mU1FxIz69k1kuovDjhyzla9KVITnjPzRutXrleaaMHL0uJHQGNZFUQsbb4zRoyIue4dRrLDFnerdY-0byKSXSszJ1pKpx_z0pqTvPH0GSsnxMkoSFwPOcPpAlwWRA7NVXqpvVwTrbuydAa1GIMOhi1S5U3r0dVicv_PPci2Tkin0NqpggNyF43kP4bVFmzC5N2PpsIpRXmelhA-H8UBkhARddDf0IinT8gfFN8OygX16XpG9awLpXvjoiQ0ybKUvYmNHcmmU2BLgKUGE_mMsoKBaDEgGnwjDg-kc8Pu7Mj4pCOo5AOLtC0GxWlPaWfVBHpdfBgf-rTJoMMWx-OUVodgsWcTuZsJVqRbPxSmMjTIR6UIcDJIiFi4nDOiZsGY6A7UGC76r4SenxYKWSozNlQqiy8DaMkWEPzSYx0hkbM21l7pTckfMfohkcv-_8aQT2B6XCtNlJPjHcd9d4LYDD9peiT1jJb67e3vnKAbsR6X8IB27M4eVrLGzEJYFt6UB5_DCBq50dkoVIWvTY8UUzPMxNioC-WZegVqges
dc.rights.accessRightsopenAccess
dc.subject.keywordAS Santiagoes
dc.subject.keywordIDISes
dc.subject.keywordAS Lugoes
dc.subject.keywordHULAes
dc.subject.keywordINGOes
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)es
dc.typesophosArtículo Originales
dc.volume.number63


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