TSC2 pathogenic variants are predictive of severe clinical manifestations in TSC infants: results of the EPISTOP study
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
32461669
DOI
10.1038/s41436-020-0823-4
PII: S1098-3600(21)00715-2
Knihovny.cz E-zdroje
- Klíčová slova
- TSC1, TSC2, clinical manifestations, mosaicism, tuberous sclerosis complex (TSC),
- MeSH
- fenotyp MeSH
- hamartin genetika MeSH
- kojenec MeSH
- lidé MeSH
- mozaicismus MeSH
- mutace MeSH
- předškolní dítě MeSH
- tuberin genetika MeSH
- tuberózní skleróza * diagnostické zobrazování genetika MeSH
- Check Tag
- kojenec MeSH
- lidé MeSH
- předškolní dítě MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- hamartin MeSH
- tuberin MeSH
PURPOSE: To perform comprehensive genotyping of TSC1 and TSC2 in a cohort of 94 infants with tuberous sclerosis complex (TSC) and correlate with clinical manifestations. METHODS: Infants were enrolled at age <4 months, and subject to intensive clinical monitoring including electroencephalography (EEG), brain magnetic resonance imaging (MRI), and neuropsychological assessment. Targeted massively parallel sequencing (MPS), genome sequencing, and multiplex ligation-dependent probe amplification (MLPA) were used for variant detection in TSC1/TSC2. RESULTS: Pathogenic variants in TSC1 or TSC2 were identified in 93 of 94 (99%) subjects, with 23 in TSC1 and 70 in TSC2. Nine (10%) subjects had mosaicism. Eight of 24 clinical features assessed at age 2 years were significantly less frequent in those with TSC1 versus TSC2 variants including cortical tubers, hypomelanotic macules, facial angiofibroma, renal cysts, drug-resistant epilepsy, developmental delay, subependymal giant cell astrocytoma, and median seizure-free survival. Additionally, quantitative brain MRI analysis showed a marked difference in tuber and subependymal nodule/giant cell astrocytoma volume for TSC1 versus TSC2. CONCLUSION: TSC2 pathogenic variants are associated with a more severe clinical phenotype than mosaic TSC2 or TSC1 variants in TSC infants. Early assessment of gene variant status and mosaicism might have benefit for clinical management in infants and young children with TSC.
Child Neurology and Psychiatry Unit Systems Medicine Department Tor Vergata University Rome Italy
Department of Child Neurology Brain Center University Medical Center Utrecht Utrecht The Netherlands
Department of Child Neurology Charité University Medicine Berlin Berlin Germany
Department of Child Neurology Medical University of Warsaw Warsaw Poland
Department of Medicine Brigham and Women's Hospital Boston MA USA
Department of Neurology and Epileptology The Children's Memorial Health Institute Warsaw Poland
Diagnose und Behandlungszentrum für Kinder Vivantes Klinikum Neukölln Berlin Germany
GenomeScan Leiden The Netherlands
Image Sciences Institute University Medical Center Utrecht Utrecht The Netherlands
International Institute of Molecular and Cell Biology Warsaw Poland
Motol University Hospital Charles University Prague Czech Republic
Stichting Epilepsie Instellingen Nederland Heemstede the Netherlands Utrecht The Netherlands
Zobrazit více v PubMed
Salussolia CL, Klonowska K, Kwiatkowski DJ, Sahin M. Genetic etiologies, diagnosis, and treatment of tuberous sclerosis complex. Annu Rev Genomics Hum Genet. 2019;20:217–240. DOI
Henske EP, Jozwiak S, Kingswood JC, Sampson JR, Thiele EA. Tuberous sclerosis complex. Nat Rev Dis Primers. 2016;2:16035. DOI
Kwiatkowski DJ, Manning BD. Molecular basis of giant cells in tuberous sclerosis complex. N Engl J Med. 2014;371:778–780. DOI
Hoxhaj G, Manning BD. The PI3K-AKT network at the interface of oncogenic signalling and cancer metabolism. Nat Rev Cancer. 2020;20:74–88. DOI
Saxton RA, Sabatini DM. mTOR signaling in growth, metabolism, and disease. Cell. 2017;168:960–976. PubMed PMC
Treichel AM, Hamieh L, Nathan NR, et al. Phenotypic distinctions between mosaic forms of tuberous sclerosis complex. Genet Med. 2019;21:2594–2604. DOI
Giannikou K, Lasseter KD, Grevelink JM, et al. Low-level mosaicism in tuberous sclerosis complex: prevalence, clinical features, and risk of disease transmission. Genet Med. 2019;21:2639–2643. DOI
Tyburczy ME, Dies KA, Glass J, et al. Mosaic and intronic mutations in TSC1/TSC2 explain the majority of TSC patients with no mutation identified by conventional testing. PLoS Genet. 2015;11:e1005637. DOI
Verhoef S, Bakker L, Tempelaars AM, et al. High rate of mosaicism in tuberous sclerosis complex. Am J Hum Genet. 1999;64:1632–1637. DOI
Rose VM, Au KS, Pollom G, Roach ES, Prashner HR, Northrup H. Germ-line mosaicism in tuberous sclerosis: how common? Am J Hum Genet. 1999;64:986–992. DOI
Kwiatkowska J, Wigowska-Sowinska J, Napierala D, Slomski R, Kwiatkowski DJ. Mosaicism in tuberous sclerosis as a potential cause of the failure of molecular diagnosis. N Engl J Med. 1999;340:703–707. DOI
van Eeghen AM, Black ME, Pulsifer MB, Kwiatkowski DJ, Thiele EA. Genotype and cognitive phenotype of patients with tuberous sclerosis complex. Eur J Hum Genet. 2012;20:510–515. DOI
Jansen FE, Braams O, Vincken KL, et al. Overlapping neurologic and cognitive phenotypes in patients with TSC1 or TSC2 mutations. Neurology. 2008;70:908–915. DOI
Au KS, Williams AT, Roach ES, et al. Genotype/phenotype correlation in 325 individuals referred for a diagnosis of tuberous sclerosis complex in the United States. Genet Med. 2007;9:88–100. DOI
Sancak O, Nellist M, Goedbloed M, et al. Mutational analysis of the TSC1 and TSC2 genes in a diagnostic setting: genotype—phenotype correlations and comparison of diagnostic DNA techniques in tuberous sclerosis complex. Eur J Hum Genet. 2005;13:731–741. DOI
Dabora SL, Jozwiak S, Franz DN, et al. Mutational analysis in a cohort of 224 tuberous sclerosis patients indicates increased severity of TSC2, compared with TSC1, disease in multiple organs. Am J Hum Genet. 2001;68:64–80. DOI
Jones AC, Shyamsundar MM, Thomas MW, et al. Comprehensive mutation analysis of TSC1 and TSC2-and phenotypic correlations in 150 families with tuberous sclerosis. Am J Hum Genet. 1999;64:1305–1315. DOI
Northrup H, Krueger DA, International Tuberous Sclerosis Complex Consensus Group Tuberous sclerosis complex diagnostic criteria update: recommendations of the 2012 Iinternational Tuberous Sclerosis Complex Consensus Conference. Pediatr Neurol. 2013;49:243–254. DOI
Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–2120. DOI
Joshi N, Fass J. Sickle: a sliding-window, adaptive, quality-based trimming tool for FastQ files (Version 1.33) [Software]. 2011.
Li H, Durbin R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics. 2009;25:1754–1760. DOI
McKenna A, Hanna M, Banks E, et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20:1297–1303. DOI
Kuijf HJ. Image processing techniques for quantification and assessment of brain MRI (Doctoral dissertation, 10 December 2013, Utrecht University, Utrecht, the Netherlands). https://dspace.library.uu.nl/handle/1874/287431 .
Farach LS, Pearson DA, Woodhouse JP, et al. Tuberous sclerosis complex genotypes and developmental phenotype. Pediatr Neurol. 2019;96:58–63. DOI
Treichel AM, Kwiatkowski DJ, Moss J, Darling TN. A diagnostic algorithm for enhanced detection of mosaic tuberous sclerosis complex in adults. Br J Dermatol. 2020;182:235–237. PubMed