ZOFIA AGNIESZKA WICIK
Projetos de Pesquisa
Unidades Organizacionais
LIM/17 - Laboratório de Investigação em Reumatologia, Hospital das Clínicas, Faculdade de Medicina
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- 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.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- 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.