6 research outputs found

    De novo variants of CSNK2B cause a new intellectual disability-craniodigital syndrome by disrupting the canonical Wnt signaling pathway

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    CSNK2B encodes for casein kinase II subunit beta (CK2b), the regulatory subunit of casein kinase II (CK2), which is known to mediate diverse cellular pathways. Variants in this gene have been recently identified as a cause of Poirier-Bienvenu neurodevelopmental syndrome (POBINDS), but functional evidence is sparse. Here, we report five unrelated individuals: two of them manifesting POBINDS, while three are identified to segregate a new intellectual disability-craniodigital syndrome (IDCS), distinct from POBINDS. The three IDCS individuals carried two different de novo missense variants affecting the same codon of CSNK2B. Both variants, NP_001311.3; p.Asp32His and NP_001311.3; p.Asp32Asn, lead to an upregulation of CSNK2B expression at transcript and protein level, along with global dysregulation of canonical Wnt signaling. We found impaired interaction of the two key players DVL3 and b-catenin with mutated CK2b. The variants compromise the kinase activity of CK2 as evident by a marked reduction of phosphorylated b-catenin and consequent absence of active b-catenin inside nuclei of the patient-derived lymphoblastoid cell lines (LCLs). In line with these findings, whole-transcriptome profiling of patient-derived LCLs harboring the NP_001311.3; p.Asp32His variant confirmed a marked difference in expression of genes involved in the Wnt signaling pathway. In addition, whole-phosphoproteome analysis of the LCLs of the same subject showed absence of phosphorylation for 313 putative CK2 substrates, enriched in the regulation of nuclear b-catenin and transcription of the target genes. Our findings suggest that discrete variants in CSNK2B cause dominant-negative perturbation of the canonical Wnt signaling pathway, leading to a new craniodigital syndrome distinguishable from POBINDS

    The lowest dose of corticosteroids, which stops the episodes of PFAPA syndrome

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    Background The episodes of PFAPA syndrome with their exhausting periodic fever, annoying oral aphthae and sore throat, warrant treatment. Corticosteroids are the most efficacious. Aims Providing evidence that a weight-independent minimal dose of betamethasone the least ever used can resolve symptoms of PFAPA syndrome within few hours. Methods In a retrospective case-series analysis study, approved by the relevant ethical committees of Clalit Health Organization, we collected analysed and interpreted data from medical files of children who suffered from PFAPA syndrome, during 1998 until 2015, concerning the lowest effective betamethasone dose, they received and which had abated fever within few hours. Results We had diagnosed 132 children of our 2300 children community, as suffering from PFAPA syndrome (rate 6 per cent). Ninety eight per cent of the patients satisfactorily responded, within two-to-twelve hours, to treatment with a minimal one-time weight-independent dose of betamethasone in every flare. The rest of patients (2 per cent) needed an equal second dose to end their first flare during the following twelve hours. Three patients who were four to five-months-old at time of diagnosis, had received 0.1mg dose. Conclusion A dose of 0.5mg of betamethasone for children under 5 years of age and a dose of 1.0mg was prescribed for children >5, were effective for prompt resolution of PFAPA flares. We believe that as long as there is an effective lowest dose for treating PFAPA episodes, a great reduction of corticosteroid consumption will be exercisable globally

    The lowest dose of corticosteroids, which stops the episodes of PFAPA syndrome

    No full text
    BackgroundThe episodes of PFAPA syndrome with their exhausting periodic fever, annoying oral aphthae and sore throat, warrant treatment. Corticosteroids are the most efficacious.AimsProviding evidence that a weight-independent, minimal dose of betamethasone, the least ever used, can resolve symptoms of PFAPA syndrome, within few hours.Methods In a retrospective case-series analysis study, approved by the relevant ethical committees of Clalit Health Organization, we collected analysed and interpreted data from medical files of children who suffered from PFAPA syndrome, during 1998 until 2015, concerning the lowest effective betamethasone dose, they received and which had abated fever within few hours.Results We had diagnosed 132 children of our 2300 children community, as suffering from PFAPA syndrome (rate 6 per cent). Ninety eight per cent of the patients satisfactorily responded, within two-to-twelve hours, to treatment with a minimal one-time weight-independent dose of betamethasone in every flare. The rest of patients (2 per cent) needed an equal second dose to end their first flare during the following twelve hours. Three patients who were four to five-months-old at time of diagnosis, had received 0.1mg dose.ConclusionA dose of 0.5mg of betamethasone for children under 5 years of age and a dose of 1.0mg was prescribed for children >5, were effective for prompt resolution of PFAPA flares. We believe that as long as there is an effective lowest dose for treating PFAPA episodes, a great reduction of corticosteroid consumption will be exercisable globally

    DataSheet1_Vici syndrome in Israel: Clinical and molecular insights.docx

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    Introduction: Vici Syndrome is a rare, severe, neurodevelopmental/neurodegenerative disorder with multi-systemic manifestations presenting in infancy. It is mainly characterized by global developmental delay, seizures, agenesis of the corpus callosum, hair and skin hypopigmentation, bilateral cataract, and varying degrees of immunodeficiency, among other features. Vici Syndrome is caused by biallelic pathogenic variants in EPG5, resulting in impaired autophagy. Thus far, the condition has been reported in less than a hundred individuals.Objective and Methods: We aimed to characterize the clinical and molecular findings in individuals harboring biallelic EPG5 variants, recruited from four medical centers in Israel. Furthermore, we aimed to utilize a machine learning-based tool to assess facial features of Vici syndrome.Results: Eleven cases of Vici Syndrome from five unrelated families, one of which was diagnosed prenatally with subsequent termination of pregnancy, were recruited. A total of five disease causing variants were detected in EPG5: two novel: c.2554-5A>G and c.1461delC; and 3 previously reported: c.3447G>A, c.5993C>G, and c.1007A>G, the latter previously identified in several patients of Ashkenazi-Jewish (AJ) descent. Amongst 140,491 individuals screened by the Dor Yeshorim Program, we show that the c.1007A>G variant has an overall carrier frequency of 0.45% (1 in 224) among AJ individuals. Finally, based on two-dimensional facial photographs of individuals with Vici syndrome (n = 19), a composite facial mask was created using the DeepGestalt algorithm, illustrating facial features typical of this disorder.Conclusion: We report on ten children and one fetus from five unrelated families, affected with Vici syndrome, and describe prenatal and postnatal characteristics. Our findings contribute to the current knowledge regarding the molecular basis and phenotypic features of this rare syndrome. Additionally, the deep learning-based facial gestalt adds to the clinician’s diagnostic toolbox and may aid in facilitating identification of affected individuals.</p

    Table1_Vici syndrome in Israel: Clinical and molecular insights.docx

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    Introduction: Vici Syndrome is a rare, severe, neurodevelopmental/neurodegenerative disorder with multi-systemic manifestations presenting in infancy. It is mainly characterized by global developmental delay, seizures, agenesis of the corpus callosum, hair and skin hypopigmentation, bilateral cataract, and varying degrees of immunodeficiency, among other features. Vici Syndrome is caused by biallelic pathogenic variants in EPG5, resulting in impaired autophagy. Thus far, the condition has been reported in less than a hundred individuals.Objective and Methods: We aimed to characterize the clinical and molecular findings in individuals harboring biallelic EPG5 variants, recruited from four medical centers in Israel. Furthermore, we aimed to utilize a machine learning-based tool to assess facial features of Vici syndrome.Results: Eleven cases of Vici Syndrome from five unrelated families, one of which was diagnosed prenatally with subsequent termination of pregnancy, were recruited. A total of five disease causing variants were detected in EPG5: two novel: c.2554-5A>G and c.1461delC; and 3 previously reported: c.3447G>A, c.5993C>G, and c.1007A>G, the latter previously identified in several patients of Ashkenazi-Jewish (AJ) descent. Amongst 140,491 individuals screened by the Dor Yeshorim Program, we show that the c.1007A>G variant has an overall carrier frequency of 0.45% (1 in 224) among AJ individuals. Finally, based on two-dimensional facial photographs of individuals with Vici syndrome (n = 19), a composite facial mask was created using the DeepGestalt algorithm, illustrating facial features typical of this disorder.Conclusion: We report on ten children and one fetus from five unrelated families, affected with Vici syndrome, and describe prenatal and postnatal characteristics. Our findings contribute to the current knowledge regarding the molecular basis and phenotypic features of this rare syndrome. Additionally, the deep learning-based facial gestalt adds to the clinician’s diagnostic toolbox and may aid in facilitating identification of affected individuals.</p

    Image1_Vici syndrome in Israel: Clinical and molecular insights.PNG

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    Introduction: Vici Syndrome is a rare, severe, neurodevelopmental/neurodegenerative disorder with multi-systemic manifestations presenting in infancy. It is mainly characterized by global developmental delay, seizures, agenesis of the corpus callosum, hair and skin hypopigmentation, bilateral cataract, and varying degrees of immunodeficiency, among other features. Vici Syndrome is caused by biallelic pathogenic variants in EPG5, resulting in impaired autophagy. Thus far, the condition has been reported in less than a hundred individuals.Objective and Methods: We aimed to characterize the clinical and molecular findings in individuals harboring biallelic EPG5 variants, recruited from four medical centers in Israel. Furthermore, we aimed to utilize a machine learning-based tool to assess facial features of Vici syndrome.Results: Eleven cases of Vici Syndrome from five unrelated families, one of which was diagnosed prenatally with subsequent termination of pregnancy, were recruited. A total of five disease causing variants were detected in EPG5: two novel: c.2554-5A>G and c.1461delC; and 3 previously reported: c.3447G>A, c.5993C>G, and c.1007A>G, the latter previously identified in several patients of Ashkenazi-Jewish (AJ) descent. Amongst 140,491 individuals screened by the Dor Yeshorim Program, we show that the c.1007A>G variant has an overall carrier frequency of 0.45% (1 in 224) among AJ individuals. Finally, based on two-dimensional facial photographs of individuals with Vici syndrome (n = 19), a composite facial mask was created using the DeepGestalt algorithm, illustrating facial features typical of this disorder.Conclusion: We report on ten children and one fetus from five unrelated families, affected with Vici syndrome, and describe prenatal and postnatal characteristics. Our findings contribute to the current knowledge regarding the molecular basis and phenotypic features of this rare syndrome. Additionally, the deep learning-based facial gestalt adds to the clinician’s diagnostic toolbox and may aid in facilitating identification of affected individuals.</p
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