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Monte Neto JTD, Kirsztajn GM. The role of podocyte injury in the pathogenesis of Fabry disease nephropathy. J Bras Nefrol 2024; 46:e20240035. [PMID: 39058283 PMCID: PMC11287863 DOI: 10.1590/2175-8239-jbn-2024-0035en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/02/2024] [Indexed: 07/28/2024] Open
Abstract
Renal involvement is one of the most severe morbidities of Fabry disease (FD), a multisystemic lysosomal storage disease with an X-linked inheritance pattern. It results from pathogenic variants in the GLA gene (Xq22.2), which encodes the production of alpha-galactosidase A (α-Gal), responsible for glycosphingolipid metabolism. Insufficient activity of this lysosomal enzyme generates deposits of unprocessed intermediate substrates, especially globotriaosylceramide (Gb3) and derivatives, triggering cellular injury and subsequently, multiple organ dysfunction, including chronic nephropathy. Kidney injury in FD is classically attributed to Gb3 deposits in renal cells, with podocytes being the main target of the pathological process, in which structural and functional alterations are established early and severely. This configures a typical hereditary metabolic podocytopathy, whose clinical manifestations are proteinuria and progressive renal failure. Although late clinical outcomes and morphological changes are well established in this nephropathy, the molecular mechanisms that trigger and accelerate podocyte injury have not yet been fully elucidated. Podocytes are highly specialized and differentiated cells that cover the outer surface of glomerular capillaries, playing a crucial role in preserving the structure and function of the glomerular filtration barrier. They are frequent targets of injury in many nephropathies. Furthermore, dysfunction and depletion of glomerular podocytes are essential events implicated in the pathogenesis of chronic kidney disease progression. We will review the biology of podocytes and their crucial role in regulating the glomerular filtration barrier, analyzing the main pathogenic pathways involved in podocyte injury, especially related to FD nephropathy.
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Moynihan D, Monaco S, Ting TW, Narasimhalu K, Hsieh J, Kam S, Lim JY, Lim WK, Davila S, Bylstra Y, Balakrishnan ID, Heng M, Chia E, Yeo KK, Goh BK, Gupta R, Tan T, Baynam G, Jamuar SS. Cluster analysis and visualisation of electronic health records data to identify undiagnosed patients with rare genetic diseases. Sci Rep 2024; 14:5056. [PMID: 38424111 PMCID: PMC10904843 DOI: 10.1038/s41598-024-55424-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/23/2024] [Indexed: 03/02/2024] Open
Abstract
Rare genetic diseases affect 5-8% of the population but are often undiagnosed or misdiagnosed. Electronic health records (EHR) contain large amounts of data, which provide opportunities for analysing and mining. Data mining, in the form of cluster analysis and visualisation, was performed on a database containing deidentified health records of 1.28 million patients across 3 major hospitals in Singapore, in a bid to improve the diagnostic process for patients who are living with an undiagnosed rare disease, specifically focusing on Fabry Disease and Familial Hypercholesterolaemia (FH). On a baseline of 4 patients, we identified 2 additional patients with potential diagnosis of Fabry disease, suggesting a potential 50% increase in diagnosis. Similarly, we identified > 12,000 individuals who fulfil the clinical and laboratory criteria for FH but had not been diagnosed previously. This proof-of-concept study showed that it is possible to perform mining on EHR data albeit with some challenges and limitations.
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Affiliation(s)
| | | | - Teck Wah Ting
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
| | - Kaavya Narasimhalu
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute (Singapore General Hospital), Singapore, Singapore
| | - Jenny Hsieh
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
- Department of Internal Medicine, Singapore General Hospital, Singapore, Singapore
| | - Sylvia Kam
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
| | - Jiin Ying Lim
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
- Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
- Laboratory of Genome Variation Analytics, Genome Institute of Singapore, Singapore, Singapore
| | - Sonia Davila
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
| | - Yasmin Bylstra
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore
| | - Iswaree Devi Balakrishnan
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
- National Heart Centre Singapore, Singapore, Singapore
| | - Mark Heng
- SingHealth Office of Insights and Analytics, Singapore, Singapore
| | - Elian Chia
- SingHealth Office of Insights and Analytics, Singapore, Singapore
| | | | - Bee Keow Goh
- Data Analytics Office, KK Women's and Children's Hospital, Singapore, Singapore
| | | | - Tele Tan
- Curtin University, Perth, Australia
| | - Gareth Baynam
- Rare Care Centre, Perth Children's Hospital, Perth, WA, Australia
- Western Australian Register of Developmental Anomalies, Perth, WA, Australia
| | - Saumya Shekhar Jamuar
- Genetics Service, Department of Paediatrics, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore.
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore.
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore, Singapore.
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da Paz OT, Lacerda RCT, de Andrade LGM. Genetic and phenotypic profile of Fabry disease in the population of Vale do Paraiba and Eastern São Paulo. J Bras Nefrol 2023; 45:424-439. [PMID: 36745055 PMCID: PMC10726653 DOI: 10.1590/2175-8239-jbn-2022-0107en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 12/19/2022] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION Fabry disease (FD) is an inborn error of metabolism characterized by α-galactosidase A deficiency. The primary objective was to evaluate the genetic and phenotypic profile of Fabry disease in hemodialysis. METHODS Observational cohort study to determine the incidence of genetic variations and phenotypic changes for FD in hemodialysis patients in the Paraiba Valley and Eastern São Paulo. Genetic testing for the GLA gene was performed for men and women over 12 years of age at the hemodialysis clinics between January 2016 and December 2019 as a screening protocol. RESULTS The cases came from screening exams of the index case among patients with chronic kidney disease, resulting in 17 families and totaling 82 patients under study. The classification of the most prevalent variant was that of uncertain significance (54%), followed by the pathogenic variant (46%). Five patients in two families were described with two types of variants not previously described in the literature, with pathogenic behavior. Comparing the types of variants, the presence of a pathogenic variant was associated with higher levels of lysoGB3, lower values for alpha-GAL activity and higher frequency of symptoms related to FD. CONCLUSION We characterized an extensive population of patients with FD variants with rich genetic, clinical and biomarker details. We believe that this study can help to better characterize the Brazilian population with FD and the most frequent types of variants.
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Paz OTD, Lacerda RCT, de Andrade LGM. Perfil genético e fenotípico da doença de Fabry na população do Vale do Paraíba e Zona Leste de São Paulo. J Bras Nefrol 2023. [DOI: 10.1590/2175-8239-jbn-2022-0107pt] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
RESUMO Introdução: A doença de Fabry (DF) é um erro inato do metabolismo caracterizado pela deficiência da enzima α-galactosidase A. O objetivo primário foi avaliar o perfil genético e fenotípico da doença de Fabry em hemodiálise. Métodos: Estudo de coorte observacional para determinar a incidência de variações genéticas e alterações fenotípicas para DF em pacientes em hemodiálise no Vale do Paraíba e Zona Leste de São Paulo. O teste genético para o gene GLA foi realizado para homens e mulheres em todos os pacientes das clínicas de hemodiálise maiores de 12 anos entre janeiro de 2016 a dezembro de 2019 como protocolo de rastreio. Resultados: Os casos foram provenientes de exames de triagem do caso índice entre pacientes portadores de doença renal crônica, resultando em 17 famílias e totalizando 82 pacientes em estudo. A classificação da variante mais prevalente foi a de significado incerto (54%), seguida da variante patogênica (46%). Foram descritos 5 pacientes em duas famílias com dois tipos de variantes ainda não previamente descritos na literatura com comportamento patogênico. Na comparação entre os tipos de variantes, a presença de variante patogênica foi associada a maiores níveis de lysoGB3, menores valores da atividade da alfa-GAL e maior frequência de sintomas relativos à DF. Conclusão: Caracterizamos uma extensa população de pacientes com variantes para DF com riqueza de detalhes de genética, clínica e de biomarcadores. Acreditamos que este estudo possa auxiliar na melhor caracterização da população brasileira com DF e nos tipos mais frequentes de variantes.
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