Εξειδίκευση τύπου :	Άρθρο σε επιστημονικό περιοδικό
Τίτλος:	Multiomics analysis coupled with text mining identify novel biomarker candidates for recurrent cardiovascular events
Δημιουργός/Συγγραφέας:	Chalikiopoulou, Constantina Bizjan, Barbara Jenko Leventopoulos, George Smaili, Kalliopi Blagus, Tanja Menti, Ariadni Liopetas, John John, Anne Ali, Bassam R Dolzan, Vita Hahalis, George N Patrinos, George P [EL] Κατσίλα, Θεοδώρα[EN] Katsila, Theodora
Εκδότης:	Mary Ann Liebert, Inc
Ημερομηνία:	2020-04
Γλώσσα:	Αγγλικά
ISSN:	1557-8100
DOI:	10.1089/omi.2019.0216
Άλλο:	32176569
Περίληψη:	Recurrent cardiovascular events remain an enigma that accounts for >30% of deaths worldwide. While heredity and human genetics variation play a key role, host-environment interactions offer a sound conceptual framework to dissect the molecular basis of recurrent cardiovascular events from genes and proteins to metabolites, thus accounting for environmental contributions as well. We report here a multiomics systems science approach so as to map interindividual variability in susceptibility to recurrent cardiovascular events. First, we performed data and text mining through a mixed-methods content analysis to select genomic variants, 10 single nucleotide polymorphisms, and microRNAs (miR-10a, miR-21, and miR-20a), minimizing bias in candidate marker selection. Next, we validated our in silico data in a patient cohort suffering from recurrent cardiovascular events (a cross-sectional study design and sampling). Our findings report a key role in low-density lipoprotein clearance for rs11206510 (p < 0.01) and rs515135 (p < 0.05). miR-10a (p < 0.05) was significantly associated with heart failure, while increased expression levels for miR-21 and miR-20a associated with atherosclerosis. In addition, liquid chromatography-mass spectrometry-based (LC-MS-based) proteomics analyses identified that vascular diameter and cholesterol levels are among the key factors to be considered in recurrent cardiovascular events. From a methodology innovation standpoint, this study offers a strategy to enhance the signal-to-noise ratios in mapping novel biomarker candidates wherein each research and conceptual step were interrogated for their validity and in turn, enriched one another, ideally translating information growth to knowledge growth.
Τίτλος πηγής δημοσίευσης:	OMICS: A Journal of Integrative Biology
Τόμος/Κεφάλαιο:	24
Τεύχος:	4
Σελίδες:	205-215
Θεματική Κατηγορία:	[EL] Ιατρική[EN] Medicine [EL] Βιολογία (Γενικά)[EN] Biology (General) [EL] Γενετική[EN] Genetics
Λέξεις-Κλειδιά:	Biomarkers Cardiovascular events Genomics Genotype and phenotype association miRNAs Personalized medicine Proteomics Atherosclerosis Atrial Fibrillation Coronary Disease Cross-Sectional Studies Data Mining Early Diagnosis Gene Expression Profiling Gene Expression Regulation Heart Failure Humans Lipoproteins, LDL MicroRNAs Polymorphism, Single Nucleotide Precision Medicine Recurrence Tachycardia, Ventricular Genetic Predisposition to Disease
Κάτοχος πνευματικών δικαιωμάτων:	Copyright © 2020 Mary Ann Liebert, Inc., publishers
Ηλεκτρονική διεύθυνση στον εκδότη (link):	https://www.liebertpub.com/doi/10.1089/omi.2019.0216?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub++0pubmed
Ηλεκτρονική διεύθυνση περιοδικού (link) :	https://home.liebertpub.com/publications/omics-a-journal-of-integrative-biology/43
Εμφανίζεται στις συλλογές:	Ινστιτούτο Χημικής Βιολογίας - Επιστημονικό έργο