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O Atlas Brasileiro Online de Doenças Raras é um serviço da Rede Nacional de Doenças Raras. Ele foi criado para disseminar informações sobre epidemiologia, quadro clínico, recursos diagnósticos e terapêuticos usados, e custos relacionados a doenças raras de origem genética e não genética no Brasil.
As doenças raras podem ser definidas como aquelas que afetam até 65 pessoas em cada 100 mil, ou seja, 1,3 pessoas para cada 2.000 indivíduos. No Brasil, estima-se que cerca de treze milhões de pessoas possuem alguma doença rara.
Após coletar, armazenar, processar e analisar os dados provenientes do projeto Rede Nacional de Doenças Raras, produzimos e publicamos estudos científicos para revistas e conferências científicas nacionais e internacionais.
Portanto, bem-vindo(a) a nossa lista de publicações. Essas publicações científicas representam um esforço contínuo para o entendimento e a explicação de fenômenos na área das doenças raras.
Esses esforços visam fornecer subsídios úteis e relevantes para a tomada de decisão baseadas em evidências no campo das doenças raras. Corroborando assim para o cumprimento dos objetivos gerais e específicos deste projeto.
Bibiana Mello de Oliveira, Raras Network Group
Abstract Background The Brazilian Policy for Comprehensive Care for People with Rare Diseases was implemented in 2014; however, national epidemiological data on rare diseases (RDs) are scarce and mainly focused on specific disorders. To address this gap, University Hospitals, Reference Services for Neonatal Screening, and Reference Services for Rare Diseases, all of which are public health institutions, established the Brazilian Rare Diseases Network (RARAS) in 2020. The objective of this study was to perform a comprehensive nationwide epidemiological investigation of individuals with RDs in Brazil. This retrospective survey collected data from patients receiving care in 34 healthcare facilities affiliated with RARAS in 2018 and 2019. Results The survey included 12,530 participants with a median age of 15.0 years, with women representing 50.5% of the cohort. Classification according to skin color demonstrated that 5044 (47.4%) participants were admixed. Most had a confirmed diagnosis (63.2%), with a predominance of phenylketonuria (PKU), cystic fibrosis (CF), and acromegaly. Common clinical manifestations included global developmental delay and seizures. The average duration of the diagnostic odyssey was 5.4 years (± 7.9 years). Among the confirmed diagnoses, 52.2% were etiological (biochemical: 42.5%; molecular: 30.9%), while 47.8% were clinical. Prenatal diagnoses accounted for 1.2%. Familial recurrence and consanguinity rates were 21.6% and 6.4%, respectively. Mainstay treatments included drug therapy (55.0%) and rehabilitation (15.6%). The Public Health System funded most diagnoses (84.2%) and treatments (86.7%). Hospitalizations were reported in 44.5% of cases, and the mortality rate was 1.5%, primarily due to motor neuron disease and CF. Conclusion This study marks a pioneering national-level data collection effort for rare diseases in Brazil, offering novel insights to advance the understanding, management, and resource allocation for RDs. It unveils an average diagnostic odyssey of 5.4 years and a higher prevalence of PKU and CF, possibly associated with the specialized services network, which included newborn screening services.
Juliana F. Mazzeu , Halinna Dornelles-Wawruk, Romina Soledad Heredia, Milton R. de Paula-Junior , Maria Terezinha O. Cardoso, Raphael S. Bonadio, Bianca F. dos Reis, Aline Pic-Taylor, Silviene F. de Oliveira
Long intergenic noncoding RNAs (lincRNAs) are a class of noncoding RNAs implicated in several biological processes. LincRNA 299 ( LINC00299 ) maps to 2p25.1 and its function is still unknown. However, this gene has been proposed as a candidate for intellectual disability (ID) in a patient with a balanced translocation where the breakpoint disrupted its ORF. Here, we describe a new case of LINC00299 disruption associated with ID. The individual, a 42-year-old woman, was referred to the clinical geneticist because of her son who had severe syndromic ID. G-banding and chromosomal microarray analysis were performed. Karyotyping of the boy revealed an extranumerary derivative chromosome identified as an unbalanced translocation between chromosomes 2 and 9 of maternal origin. The mother's karyotype showed a balanced translocation 46,XX,t(2;9)(p25;q13). Chromosomal microarray indicated a disruption of LINC00299 . These data corroborate the role of LINC00299 as a causative gene for ID and broadens the spectrum of LINC00299 -related phenotypes
Ida Vanessa Doederlein Schwartz, François Maillot, Maria Teresinha de Oliveira Cardoso, Romina Soledad Heredia, Maria Teresa Alves da Silva Rosa, Bárbara Cátia Martins , Monique Oliveira Poubel, Rafael Hencke Tresbach, Fernanda Sperb-Ludwig , et al
: Phenylketonuria (PKU) is a common inborn error of amino acid metabolism in which the enzyme phenylalanine hydroxylase, which converts phenylalanine to tyrosine, is functionally impaired due to pathogenic variants in the PAH gene. Thirty-four Brazilian patients with a biochemical diagnosis of PKU, from 33 unrelated families, were analyzed through next-generation sequencing in the Ion Torrent PGM™ platform. Phenotype-genotype correlations were made based on the BioPKU database. Three patients required additional Sanger sequencing analyses. Twenty-six different pathogenic variants were identified. The most frequent variants were c.1315+1G>A (n = 8/66), c.473G>A (n = 6/66), and c.1162G>A (n = 6/66). One novel variant, c.524C>G (p.Pro175Arg), was found in one allele and was predicted as likely pathogenic by the American College of Medical Genetics and Genomics (ACMG) criteria. The molecular modeling of p.Pro175Arg indicated that this substitution can affect monomers binding in the PAH tetramer, which could lead to a change in the stability and activity of this enzyme. Next-generation sequencing was a fast and effective method for diagnosing PKU and is useful for patient phenotype prediction and genetic counseling.
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Ministério da Saúde do Brasil
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Departamento de Ciência e Tecnologia
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