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COL1-Related Disorders: Case Report and Review of Overlapping Syndromes.

ABSTRACT: Collagen type I mutations are related to wide phenotypic expressions frequently causing an overlap of clinical manifestations, in particular between Osteogenesis Imperfecta (OI) and Ehlers-Danlos syndrome (EDS). Both disorders present inter- and intra-familial clinical variability and several clinical signs are present in both diseases. Recently, after the observation that some individuals first ascertained by a suspicion of EDS resulted then carriers of pathogenic variants of genes known to primarily cause OI, some authors proposed the term "COL1-related overlap disorder" to describe these cases. In this paper, we report clinical, molecular, and biochemical information about an individual with a diagnosis of EDS with severe joint hypermobility who carries a pathogenic heterozygous variant in COL1A2 gene, and a benign variant in COL1A1 gene. The pathogenic variant, commonly ascribed to OI, as well as the benign variant, has been inherited from the individual's mother, who presented only mild signs of OI and the diagnosis of OI was confirmed only after molecular testing. In addition, we reviewed the literature of similar cases of overlapping syndromes caused by COL1 gene mutations. The reported case and the literature review suggest that the COL1-related overlap disorders (OI, EDS and overlapping syndromes) represent a continuum of clinical phenotypes related to collagen type I mutations. The spectrum of COL1-related clinical manifestations, the pathophysiology and the underlying molecular mechanisms support the adoption of the updated proposed term "COL1-related overlap disorder" to describe the overlapping syndromes.

SUBMITTER: Gnoli M

PROVIDER: S-EPMC8138308 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background GNAO1 variants have been found to be associated with epileptic encephalopathies, developmental delays (DDs), and movement disorders (MDs). Therapies for patients with GNAO1 variants vary. However, treatments for GNAO1-related diseases are still in their infancy. Previous reports suggest that few pharmacological treatments are effective for patients with GNAO1 variant-related MDs. Deep brain stimulation (DBS) treatment appears to be effective, however surgical procedures and equipment failures pose risks to the patients. Effectiveness for oxcarbazepine (OXC) in GNAO1 variant-related MDs is first reported in our study, and it expand the effective drugs for MD treatment. Case Description We report the case of a 5-year-old male patient with a MD, who suffered from hypotonia and refractory choreoathetosis. The patient was found to have a DD and an intellectual disability. A de-novo variant of the GNAO1 gene (NM_138736: exom6: c.709G>A [p. Glu237Lys]) was identified by whole exome sequencing (WES) when he was 8 months old. The patient visited our hospital at the age of 4 years and 3 months because of fever and recurrent convulsions. Electroencephalogram (EEG) results show abnormal spikes, and magnetic resonance imaging (MRI) showed the enlargement of the lateral ventricles. The administration of tiapride hydrochloride, phenobarbital, midazolam, and hormones had no effect. OXC treatment was then initiated. No MD behaviors, such as rigidity and twisting of the limbs and trunk, or chorea, were observed after 10 days OXC treatment. Eventually, incremental doses of OXC were effective, and our patient achieved good control of his MD. Conclusions We are the first to demonstrate the role of OXC in alleviating MDs associated with GNAO1 mutations. This report provides a novel possibility for the clinical treatment of this rare disease. To manage MDs associated with GNAO1 mutations, we recommend that OXC treatment be attempted before invasive surgical therapy.

Project description:Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression. Background: Despite of extensive research the genetic component of extremely low birth weight in newborns has remained obscure. Results: The aim of the case study was to identify candidate gene(s) causing extremely low birth weight (ELBW) in newborns and hypotrophy in infants. A four-member family was studied: mother, father and two ELBW-phenotype children. The studies were carried out due to the medical conditions of the second child at birth and post-partum: peculiar phenotype, micro-anomalies, recurrent infections, suspicion of autoimmune hepatitis, multifactorial encephalopathy, and suspicion of metabolic and chromosomal abnormalities. Whole genome single nucleotide polymorphism (SNP) genotyping array was used to investigate genomic rearrangements in both affected children using peripheral blood DNA samples. Whole blood transcriptome was assessed by using RNA sequencing (RNA-seq) in all four family members. RNA-seq identified a single gene – C14orf132 differentially expressed, with the level of the transcript significantly lower in blood samples of children. Copy number variant (CNV) analysis did not reveal any pathogenic CNVs in the region of C14orf132 gene of both affected children. Conclusion: We showed the importance of combining whole genome CNV and transcriptome analysis in identification of the candidate gene(s) in case studies. We propose the C14orf132 (chromosome 14 open reading frame 132) gene expression to be associated with the ELBW-phenotype. C14orf132 gene is a novel long non-coding RNA (lincRNA) with unknown function, which might be associated with the developmental delay through the altered gene expression.

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COL1-Related Disorders: Case Report and Review of Overlapping Syndromes.

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