MARIANA FERREIRA DE ASSIS FUNARI
Projetos de Pesquisa
Unidades Organizacionais
Instituto Central, Hospital das Clínicas, Faculdade de Medicina
LIM/42 - Laboratório de Hormônios e Genética Molecular, Hospital das Clínicas, Faculdade de Medicina
LIM/42 - Laboratório de Hormônios e Genética Molecular, Hospital das Clínicas, Faculdade de Medicina
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- Diagnostic Characteristics of Serological-Based COVID-19 Testing: A Systematic Review and Meta-Analysis(2020) MOURA, Diogo Turiani Hourneaux de; MCCARTY, Thomas R.; RIBEIRO, Igor Braga; FUNARI, Mateus Pereira; OLIVEIRA, Pedro Victor Aniz Gomes de; MIRANDA NETO, Antonio Afonso de; MONTE JUNIOR, Epifanio Silvino do; TUSTUMI, Francisco; BERNARDO, Wanderley Marques; MOURA, Eduardo Guimaraes Hourneaux de; THOMPSON, Christopher C.Serologic testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) promises to assist in assessing exposure to and confirming the diagnosis of coronavirus disease 2019 (COVID-19), and to provide a roadmap for reopening countries worldwide. Considering this, a proper understanding of serologic-based diagnostic testing characteristics is critical. The aim of this study was to perform a structured systematic review and meta-analysis to evaluate the diagnostic characteristics of serological-based COVID-19 testing. Electronic searches were performed using Medline (PubMed), EMBASE, and Cochrane Library. Full-text observational studies that reported IgG or IgM diagnostic yield and used nucleic acid amplification tests (NAATs) of respiratory tract specimens, as a the reference standard in English language were included. A bivariate model was used to compute pooled sensitivity, specificity, positive/negative likelihood ratio (LR), diagnostic odds ratio (OR), and summary receiver operating characteristic curve (SROC) with corresponding 95% confidence intervals (CIs). Five studies (n=1,166 individual tests) met inclusion criteria. The pooled sensitivity, specificity, and diagnostic accuracy for IgG was 81% [(95% CI, 61-92);I-2 =95.28], 97% [(95% CI, 78-100);I-2 =97.80], and 93% (95% CI, 91-95), respectively. The sensitivity, specificity, and accuracy for IgM antibodies was 80% [(95% CI, 57-92);I-2 =94.63], 96% [(95% CI, 81-99);I-2 =92.96] and 95% (95% CI, 92-96). This meta-analysis demonstrates suboptimal sensitivity and specificity of serologic-based diagnostic testing for SARS-CoV-2 and suggests that antibody testing alone, in its current form, is unlikely to be an adequate solution to the difficulties posed by COVID-19 and in guiding future policy decisions regarding social distancing and reopening of the economy worldwide.
- Targeted massively parallel sequencing panel to diagnose genetic endocrine disorders in a tertiary hospital(2022) NARCIZO, Amanda M.; CARDOSO, Lais C.; BENEDETTI, Anna F. F.; JORGE, Alexander A. L.; FUNARI, Mariana F. A.; BRAGA, Barbara L.; FRANCA, Monica M.; MONTENEGRO, Luciana R.; LERARIO, Antonio M.; NISHI, Mirian Y.; MENDONCA, Berenice B.Objectives: To analyze the efficiency of a multigenic targeted massively parallel sequencing panel related to endo-crine disorders for molecular diagnosis of patients assisted in a tertiary hospital involved in the training of medi-cal faculty.Material and methods: Retrospective analysis of the clinical diagnosis and genotype obtained from 272 patients in the Endocrine unit of a tertiary hospital was performed using a custom panel designed with 653 genes, most of them already associated with the phenotype (OMIM) and some candidate genes that englobes developmental, metabolic and adrenal diseases. The enriched DNA libraries were sequenced in NextSeq 500. Variants found were then classified according to ACMG/AMP criteria, with Varsome and InterVar.Results: Three runs were performed; the mean coverage depth of the targeted regions in panel sequencing data was 249x, with at least 96.3% of the sequenced bases being covered more than 20-fold. The authors identified 66 LP/P variants (24%) and 27 VUS (10%). Considering the solved cases, 49 have developmental dis-eases, 12 have metabolic and 5 have adrenal diseases.Conclusion: The application of a multigenic panel aids the training of medical faculty in an academic hospital by showing the picture of the molecular pathways behind each disorder. This may be particularly helpful in develop-mental disease cases. A precise genetic etiology provides an improvement in understanding the disease, guides decisions about prevention or treatment, and allows genetic counseling.
- SELAdb: A database of exonic variants in a Brazilian population referred to a quaternary medical center in Sao Paulo(2020) LERARIO, Antonio Marcondes; MOHAN, Dipika R.; MONTENEGRO, Luciana Ribeiro; FUNARI, Mariana Ferreira de Assis; NISHI, Mirian Yumie; NARCIZO, Amanda de Moraes; BENEDETTI, Anna Flavia Figueredo; OBA-SHINJO, Sueli Mieko; VITORINO, Aurelio Jose; SANTOS, Rogerio Alexandre Scripnic Xavier dos; JORGE, Alexander Augusto de Lima; ONUCHIC, Luiz Fernando; MARIE, Suely Kazue Nagahashi; MENDONCA, Berenice BilharinhoOBJECTIVES: High-throughput sequencing of genomes, exomes, and disease-focused gene panels is becoming increasingly common for molecular diagnostics. However, identifying a single clinically relevant pathogenic variant among thousands of genetic polymorphisms is a challenging task. Publicly available genomic databases are useful resources to filter out common genetic variants present in the population and enable the identification of each disease-causing variant. Based on our experience applying these technologies at Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), Sao Paulo, Brazil, we recognized that the Brazilian population is not adequately represented in widely available genomic databases. METHODS: Here, we took advantage of our 5-year experience as a high-throughput sequencing core facility focused on individuals with putative genetic disorders to build a genomic database that may serve as a more accurate reference for our patient population: SELAdb. RESULTS/CONCLUSIONS: Currently, our database comprises a final cohort of 523 unrelated individuals, including patients or family members managed by different clinics of HCFMUSP. We compared SELAdb with other publicly available genomic databases and demonstrated that this population is very heterogeneous, largely resembling Latin American individuals of mixed origin, rather than individuals of pure European ancestry. Interestingly, exclusively through SELAdb, we identified a spectrum of known and potentially novel pathogenic variants in genes associated with highly penetrant Mendelian disorders, illustrating that pathogenic variants circulating in the Brazilian population that is treated in our clinics are underrepresented in other population databases. SELAdb is freely available for public consultation at: http://intranet.fm.usp.br/sela