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dc.contributor.authorChantada Vázquez, María Pilar
dc.contributor.authorBravo López, Susana Belén
dc.contributor.authorBarbosa Gouveia, Sofía
dc.contributor.authorÁlvarez González, José Victor
dc.contributor.authorCouce Pico, María Luz
dc.date.accessioned2025-08-26T10:56:12Z
dc.date.available2025-08-26T10:56:12Z
dc.date.issued2022
dc.identifier.citationChantada-Vázquez MdP, Bravo SB, Barbosa-Gouveia S, Alvarez JV, Couce ML. Proteomics in Inherited Metabolic Disorders. International Journal of Molecular Sciences. 2022;23(23).
dc.identifier.issn1422-0067
dc.identifier.otherhttps://portalcientifico.sergas.gal/documentos/63a75a509ac45918ff1f80b8*
dc.identifier.urihttp://hdl.handle.net/20.500.11940/20755
dc.description.abstractInherited metabolic disorders (IMD) are rare medical conditions caused by genetic defects that interfere with the body's metabolism. The clinical phenotype is highly variable and can present at any age, although it more often manifests in childhood. The number of treatable IMDs has increased in recent years, making early diagnosis and a better understanding of the natural history of the disease more important than ever. In this review, we discuss the main challenges faced in applying proteomics to the study of IMDs, and the key advances achieved in this field using tandem mass spectrometry (MS/MS). This technology enables the analysis of large numbers of proteins in different body fluids (serum, plasma, urine, saliva, tears) with a single analysis of each sample, and can even be applied to dried samples. MS/MS has thus emerged as the tool of choice for proteome characterization and has provided new insights into many diseases and biological systems. In the last 10 years, sequential window acquisition of all theoretical fragmentation spectra mass spectrometry (SWATH-MS) has emerged as an accurate, high-resolution technique for the identification and quantification of proteins differentially expressed between healthy controls and IMD patients. Proteomics is a particularly promising approach to help obtain more information on rare genetic diseases, including identification of biomarkers to aid early diagnosis and better understanding of the underlying pathophysiology to guide the development of new therapies. Here, we summarize new and emerging proteomic technologies and discuss current uses and limitations of this approach to identify and quantify proteins. Moreover, we describe the use of proteomics to identify the mechanisms regulating complex IMD phenotypes; an area of research essential to better understand these rare disorders and many other human diseases.en
dc.description.sponsorshipM.d.P.C.-V. acknowledges their personal Sara Borrell Contract (CD20/00112), respectively, both from the Instituto de Salud Carlos III (Plan Estatal de I+D+I 2013-2016 and European Development Regional Fund) of the Spanish Ministry of Economy and Competitiveness. S.B.-G Postdoctoral Grant (IN606B-2021/06) by Xunta de Galicia. C012 Reseach group of Metabolic Diseases.en
dc.language.isoeng
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleProteomics in Inherited Metabolic Disorders*
dc.typeReviewen
dc.authorsophosChantada-Vázquez, M. L. M. D. P.
dc.authorsophosBravo, S. B.
dc.authorsophosBarbosa-Gouveia, S.
dc.authorsophosAlvarez, J. V.
dc.authorsophosCouce
dc.identifier.doi10.3390/ijms232314744
dc.identifier.sophos63a75a509ac45918ff1f80b8
dc.issue.number23
dc.journal.titleInternational Journal of Molecular Sciences*
dc.relation.projectIDInstituto de Salud Carlos III (Plan Estatal de I+D+I 2013-2016 and European Development Regional Fund) of the Spanish Ministry of Economy and Competitiveness [CD20/00112]; Xunta de Galicia [IN606B-2021/06]
dc.relation.publisherversionhttps://www.mdpi.com/1422-0067/23/23/14744/pdf?version=1669375215;https://mdpi-res.com/d_attachment/ijms/ijms-23-14744/article_deploy/ijms-23-14744.pdf?version=1669375215es
dc.rights.accessRightsopenAccess
dc.subject.keywordAS Lugoes
dc.subject.keywordHULAes
dc.subject.keywordIDISes
dc.subject.keywordAS Santiagoes
dc.subject.keywordCHUSes
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)es
dc.typesophosArtículo de Revisiónes
dc.volume.number23


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