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Publicação:
Liver Proteome in Diabetes Type 1 Rat Model: Insulin-Dependent and -Independent Changes

dc.contributor.authorBraga, Camila Pereira [UNESP]
dc.contributor.authorBoone, Cory H. T.
dc.contributor.authorGrove, Ryan A.
dc.contributor.authorAdamcova, Dana
dc.contributor.authorHenrique Fernandes, Ana Angelica [UNESP]
dc.contributor.authorAdamec, Jiri
dc.contributor.authorPadilha, Pedro de Magalhaes [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Nebraska
dc.date.accessioned2018-11-26T17:15:27Z
dc.date.available2018-11-26T17:15:27Z
dc.date.issued2016-12-01
dc.description.abstractDiabetes mellitus type 1 (DM1) is a major public health problem that continues to burden the healthcare systems worldwide, costing exponentially more as the epidemic grows. Innovative strategies and omics system diagnostics for earlier diagnosis or prognostication of DM1 are essential to prevent secondary complications and alleviate the associated economic burden. In a preclinical study design that involved streptozotocin (STZ)-induced DM1, insulin-treated STZ-induced DM1, and control rats, we characterized the insulin-dependent and -independent changes in protein profiles in liver samples. Digested proteins were subjected to LC-MSE for proteomic data. Progenesis QI data processing and analysis of variance were utilized for statistical analyses. We found 305 proteins with significantly altered abundance among the control, DM1, and insulin-treated DM1 groups (p<0.05). These differentially regulated proteins were related to enzymes that function in key metabolic pathways and stress responses. For example, gluconeogenesis appeared to return to control levels in the DM1 group after insulin treatment, with the restoration of gluconeogenesis regulatory enzyme, FBP1. Insulin administration to DM1 rats also restored the blood glucose levels and enzymes of general stress and antioxidant response systems. These observations are crucial for insights on DM1 pathophysiology and new molecular targets for future clinical biomarkers, drug discovery, and development. Additionally, we underscore that proteomics offers much potential in preclinical biomarker discovery for diabetes as well as common complex diseases such as cancer, dementia, and infectious disorders.en
dc.description.affiliationSao Paulo State Univ, Inst Biosci, Dept Chem & Biochem, Botucatu, SP, Brazil
dc.description.affiliationUniv Nebraska, Dept Biochem, Redox Biol Ctr, Lincoln, NE 68583 USA
dc.description.affiliationUnespSao Paulo State Univ, Inst Biosci, Dept Chem & Biochem, Botucatu, SP, Brazil
dc.format.extent711-726
dc.identifierhttp://dx.doi.org/10.1089/omi.2016.0135
dc.identifier.citationOmics-a Journal Of Integrative Biology. New Rochelle: Mary Ann Liebert, Inc, v. 20, n. 12, p. 711-726, 2016.
dc.identifier.doi10.1089/omi.2016.0135
dc.identifier.issn1536-2310
dc.identifier.urihttp://hdl.handle.net/11449/162279
dc.identifier.wosWOS:000390592400004
dc.language.isoeng
dc.publisherMary Ann Liebert, Inc
dc.relation.ispartofOmics-a Journal Of Integrative Biology
dc.relation.ispartofsjr0,941
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectbiomarkers
dc.subjectbioinformatics
dc.subjectproteomics
dc.subjectpersonalized medicine
dc.titleLiver Proteome in Diabetes Type 1 Rat Model: Insulin-Dependent and -Independent Changesen
dc.typeArtigo
dcterms.rightsHolderMary Ann Liebert, Inc
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatupt
unesp.departmentQuímica e Bioquímica - IBBpt

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