ZOFIA AGNIESZKA WICIK

(Fonte: Lattes)
Índice h a partir de 2011
5
Projetos de Pesquisa
Unidades Organizacionais
LIM/17 - Laboratório de Investigação em Reumatologia, Hospital das Clínicas, Faculdade de Medicina

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Agora exibindo 1 - 8 de 8
  • article 24 Citação(ões) na Scopus
    MicroRNAs fingerprint of bicuspid aortic valve
    (2019) SABATINO, Jolanda; WICIK, Zofia; ROSA, Salvatore De; EYILETEN, Ceren; JAKUBIK, Daniel; SPACCAROTELLA, Carmen; MONGIARDO, Annalisa; POSTULA, Marek; INDOLFI, Ciro
    Aortic valve tissue is largely exposed to high blood flow. Cells belonging to aortic valve tissues are able to detect and respond to flow conditions changes. Bicuspid aortic valve (BAV) presents altered morphology, with only two abnormal cusps instead of three. This results in an alteration of blood flow dynamics on valve cusps and aortic wall, which may, in turn, increase the risk to develop aortic stenosis and/or regurgitation, endocarditis, aortopathy and/or aortic dissection. MicroRNAs (miRNAs) are short RNA strands regulating gene expression mainly through the inhibition of their target mRNAs. They are largely involved in cardiovascular pathophysiology and heart disease. More recently, it has been observed that the expression of specific miRNAs can be modulated in response to changes in hemodynamic conditions. Using a bioinformatic approach, this article analyses available scientific evidence about the differential expression of miRNAs in the bicuspid aortic valve, with a focus on the differential modulation compared to the calcific-degenerative tricuspid aortic valve.
  • article 8 Citação(ões) na Scopus
    Overexpression of SNTG2, TRAF3IP2, and ITGA6 transcripts is associated with osteoporotic vertebral fracture in elderly women from community
    (2020) JALES NETO, Levi H.; WICIK, Zofia; TORRES, Georgea H. F.; TAKAYAMA, Liliam; CAPARBO, Valeria F.; LOPES, Neuza H. M.; PEREIRA, Alexandre C.; PEREIRA, Rosa M. R.
    Background: Vertebral fractures (VFs) are the most common clinical manifestation of osteoporosis associated with high morbimortality. A personal/familiar history of fractures increases the risk of fractures. The purpose of this study is to identify possible molecular markers associated with osteoporotic VFs in elderly women from community. Methods: Transcriptomic analysis using Affymetrix HTA2 microarray was performed using whole blood samples of 240 subjects from a population-based survey (Sao Paulo Ageing & Health [SPAR] study). Only elderly women with osteoporosis diagnosis by densitometry were analyzed, and divided in two groups: VF: women with osteoporosis and VFs versus no vertebral fracture (NVF): women with osteoporosis and NVFs. They were matched for age, chronic disease, medication use, and bone mineral density (BMD). The logistic regression model adjusted for age was applied for transcriptome data analysis. SYBR green-based quantitative polymerase chain reaction (qPCR) was used to validate the most significant expression changes obtained in the microarray experiment. Results: Microarray analysis identified 142 differentially expressed genes (DEGs, p < .01), 57 upregulated and 85 downregulated, compared VF versus NVF groups. The DEG with the greatest expression difference was the Gamma2-Syntrophin (SNTG2) (beta = 31.88, p = .005). Validation by qPCR confirmed increased expression in VF group of Syntrophin (SNTG2, fold change = 2.79, p = .009), TRAF3 Interacting Protein2 (TRAF3IP2, told change = 2.79, p = .020), and Integrin Subunit Alpha 6 (ITGA6, fold change = 2.86, p = .038). Conclusion: Our data identified and validated the association of SNTG2 (608715), TRAF3IP2 (607043), and ITGA6 (147556) with osteoporotic VF in elderly women, independently of BMD. These results suggest that these transcripts have potential clinical significance and may help to explain the molecular mechanisms and biological functions of vertebral fracture.
  • conferenceObject
    Elucidating the crosstalk among lncRNAs, microRNAs and mRNAs in the bone metabolism related genes associated with Coronary Vascular Calcification in elderly women cohort of the Sao Paulo Aging and Health Study
    (2019) WICIK, Zofia; NETO, Levi H. Jales; TAKAYAMA, Liliam; CAPARBO, Valeria F.; FERNANDES, Georgea H.; PEREIRA, Rosa M. R.; LOPES, Neuza; GUZMAN, Luis F. E.; PEREIRA, Alexandre C.
  • article 122 Citação(ões) na Scopus
    MicroRNAs as Diagnostic and Prognostic Biomarkers in Ischemic Stroke-A Comprehensive Review and Bioinformatic Analysis
    (2018) EYILETEN, Ceren; WICIK, Zofia; ROSA, Salvatore De; MIROWSKA-GUZEL, Dagmara; SOPLINSKA, Aleksandra; INDOLFI, Ciro; JASTRZEBSKA-KURKOWSKA, Iwona; CZLONKOWSKA, Anna; POSTULA, Marek
    Stroke is the second-most common cause of death worldwide. The pathophysiology of ischemic stroke (IS) is related to inflammation, atherosclerosis, blood coagulation, and platelet activation. MicroRNAs (miRNAs) play important roles in physiological and pathological processes of neurodegenerative diseases and progression of certain neurological diseases, such as IS. Several different miRNAs, and their target genes, are recognized to be involved in the pathophysiology of IS. The capacity of miRNAs to simultaneously regulate several target genes underlies their unique value as diagnostic and prognostic markers in IS. In this review, we focus on the role of miRNAs as diagnostic and prognostic biomarkers in IS. We discuss the most common and reliable detection methods available and promising tests currently under development. We also present original results from bioinformatic analyses of published results, identifying the ten most significant genes (HMGB1, YWHAZ, PIK3R1, STAT3, MAPK1, CBX5, CAPZB, THBS1, TNFRSF10B, RCOR1) associated with inflammation, blood coagulation, and platelet activation and targeted by miRNAs in IS. Additionally, we created miRNA-gene target interaction networks based on Gene Ontology (GO) information derived from publicly available databases. Among our most interesting findings, miR-19a-3p is the most widely modulated miRNA across all selected ontologies and might be proposed as novel biomarker in IS to be tested in future studies.
  • conferenceObject
    Not chronic exercise but acute exercise is related with increased cell survival, enhanced cell proliferation and decreased cell apoptosis
    (2020) POSTULA, M.; WICIK, Z.; EYILETEN, C.; SOPLINSKA, A.; CZAJKA, P.; NOWAK, A.; JAROSZ-POPEK, J.; MALEK, L.
  • conferenceObject
    Identification and Validation of Transcriptional Genes Associated with Osteoporotic Vertebral Fractures by Microarray Study, in Community Elderly Women
    (2019) NETO, Levi Jales; WICIK, Zofia; TORRES, Georgea; TAKAYAMA, Liliam; LOPES, Neusa; PEREIRA, Alexandre; PEREIRA, Rosa
  • article 103 Citação(ões) na Scopus
    Significance of circulating microRNAs in diabetes mellitus type 2 and platelet reactivity: bioinformatic analysis and review
    (2019) PORDZIK, Justyna; JAKUBIK, Daniel; JAROSZ-POPEK, Joanna; WICIK, Zofia; EYILETEN, Ceren; ROSA, Salvatore De; INDOLFI, Ciro; SILLER-MATULA, Jolanta M.; CZAJKA, Pamela; POSTULA, Marek
    In the light of growing global epidemic of type 2 diabetes mellitus (T2DM), significant efforts are made to discover next-generation biomarkers for early detection of the disease. Multiple mechanisms including inflammatory response, abnormal insulin secretion and glucose metabolism contribute to the development of T2DM. Platelet activation, on the other hand, is known to be one of the underlying mechanisms of atherosclerosis, which is a common T2DM complication that frequently results in ischemic events at later stages of the disease. Available data suggest that platelets contain large amounts of microRNAs (miRNAs) that are found in circulating body fluids, including the blood. Since miRNAs have been illustrated to play an important role in metabolic homeostasis through regulation of multiple genes, they attracted substantial scientific interest as diagnostic and prognostic biomarkers in T2DM. Various miRNAs, as well as their target genes are implicated in the complex pathophysiology of T2DM. This article will first review the different miRNAs studied in the context of T2DM and platelet reactivity, and subsequently present original results from bioinformatic analyses of published reports, identifying a common gene (PRKAR1A) linked to glucose metabolism, blood coagulation and insulin signalling and targeted by miRNAs in T2DM. Moreover, miRNA-target gene interaction networks built upon Gene Ontology information from electronic databases were developed. According to our results, miR-30a-5p, miR-30d-5p and miR-30c-5p are the most widely regulated miRNAs across all specified ontologies, hence they are the most promising biomarkers of T2DM to be investigated in future clinical studies.
  • article 11 Citação(ões) na Scopus
    The crosstalk between bone metabolism, lncRNAs, microRNAs and mRNAs in coronary artery calcification
    (2021) WICIK, Zofia; JALES NETO, Levi H.; GUZMAN, Luis E. F.; PAVAO, Rodrigo; TAKAYAMA, Liliam; CAPARBO, Valeria F.; LOPES, Neuza H. M.; PEREIRA, Alexandre C.; PEREIRA, Rosa M. R.
    The association between Coronary Artery Calcification (CAC) and osteoporosis has been reported but not fully understood. Therefore, using an original bioinformatic framework we analyzed transcriptomic profiles of 20 elderly women with high CAC score and 31 ageand sex-matching controls from Sao Paulo Ageing & Health study (SPAH). We integrated differentially expressed microRNA (miRNA) and long-noncoding RNA (lncRNA) interactions with coding genes associated with CAC, in the context of bone-metabolism genes mined from literature. Top non-coding regulators of bone metabolism in CAC included miRNA 497-5p/195 and 106a-5p, and lncRNA FAM197Y7. Top non-coding RNAs revealed significant interplay between genes regulating bone metabolism, vascularization-related processes, chromatin organization, prostaglandin and calcium co-signaling. Prostaglandin E2 receptor 3 (PTGER3), Fibroblasts Growth Factor Receptor 1 (FGFR1), and One Cut Homeobox 2 (ONECUT2) were identified as the most susceptible to regulation by the top non-coding RNAs. This study provides a flexible transcriptomic framework including non-coding regulation for biomarker-related studies.