Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/33917
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dc.contributor.authorMina, Ioannaen_US
dc.contributor.authorMavrogeorgis, Emmanouilen_US
dc.contributor.authorSiwy, Justynaen_US
dc.contributor.authorStojanov, Risteen_US
dc.contributor.authorMischak, Haralden_US
dc.contributor.authorLatosinska, Agnieszkaen_US
dc.contributor.authorJankowski, Veraen_US
dc.date.accessioned2025-08-18T09:23:58Z-
dc.date.available2025-08-18T09:23:58Z-
dc.date.issued2024-03-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/33917-
dc.description.abstractPrevious studies have established the association of sex with gene and protein expression. This study investigated the association of sex with the abundance of endogenous urinary peptides, using capillary electrophoresis-coupled to mass spectrometry (CEMS) datasets from 2008 healthy individuals and patients with type II diabetes, divided in one discovery and two validation cohorts. Statistical analysis using the Mann– Whitney test, adjusted for multiple testing, revealed 143 sex-associated peptides in the discovery cohort. Of these, 90 peptides were associated with sex in at least one of the validation cohorts and showed agreement in their regulation trends across all cohorts. The 90 sex-associated peptides were fragments of 29 parental proteins. Comparison with previously published transcriptomics data demonstrated that the genes encoding 16 of these parental proteins had sex-biased expression. The 143 sex-associated peptides were combined into a support vector machine-based classifier that could discriminate males from females in two independent sets of healthy individuals and patients with type II diabetes, with an AUC of 89% and 81%, respectively. Collectively, the urinary peptidome contains multiple sex-associated differences, which may enable a better understanding of sex-biased molecular mechanisms and the development of more accurate diagnostic, prognostic, or predictive classifiers for each individual sex.en_US
dc.relation.ispartofProteomicsen_US
dc.subjectbiomarker, peptidomics, proteomics, sex, urineen_US
dc.titleMultiple urinary peptides display distinct sex‐specific distributionen_US
dc.typeJournal Articleen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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