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.
Project description:16S rRNA gene sequencing in extremely low birth weight infant gut
| PRJEB17754 | ENA
Project description:Early gut microbiota in feeding intolerance of Very Low and Extremely Low Birth Weight Preterm Infants: A prospective case-control study
Project description:Breast milk has shown neurodevelopmental advantages compared to infant formula, especially in IUGR infants, which may relate to the fat source. This study aimed to compare neurodevelopmental outcomes in normal birth weight (NBW) and intrauterine growth restricted (IUGR) piglets fed a formula diet with either a vegetable oil (VEG) or bovine milk fat source (MILK). Results showed that total plasma lipids were increased by feeding the MILK diet. 82% and 11% of lipid species were differentially expressed between dietary groups in plasma and hippocampus, respectively, with slight agreement between the plasma and brain lipidome. The MILK diet was most effective in increasing brain lipid accretion, mainly comprising phospholipids. Absolute regional brain weights, grey and white matter volumes, and behavior and motor function scores were lower in IUGR piglets with no effects of diet. Cognitive function and gene expression profiles were similar for dietary and weight groups, and overall only minor interactive effects between diet and weight were observed. In conclusion, dietary fat source influenced the plasma and to a lesser degree the hippocampal lipidome, but was unable to improve on IUGR induced brain structural and functional impairments.
Project description:Intrauterine growth restriction (IUGR) is associated with increased relative liver weight at birth, hepatic function decline, and a higher risk for chronic liver and cardiovascular diseases in adults. Precise mechanisms of early developmental plasticity to intervene in poor fetal programming and adult disease remain largely elusive and warrant extensive research. Selecting natural piglets’ model of IUGR, using the liver as a readout and combining previous transcriptome findings, a map of cellular landscape was created to reveal a sex-dependent manner in IUGR-induced hepatic injury and its long-term functional repercussions.Here, we show data on the transcriptional profiles of 41,969 high-quality cells from normal birthweight (NBWs) and IUGR piglets (IUGRs) from hepatic tissue and demonstrated strong homology with human using human-derived liver single-cell dataset. We discovered that male liver was much more severely damaged and inflammation by IUGR than female liver at the one-week postnatal node.
Project description:Intrauterine growth restriction (IUGR) is associated with increased relative liver weight at birth, hepatic function decline, and a higher risk for chronic liver and cardiovascular diseases in adults. Precise mechanisms of early developmental plasticity to intervene in poor fetal programming and adult disease remain largely elusive and warrant extensive research. Selecting natural piglets’ model of IUGR, using the liver as a readout and combining previous transcriptome findings, a map of cellular landscape was created to reveal a sex-dependent manner in IUGR-induced hepatic injury and its long-term functional repercussions.Here, we show data on the transcriptional profiles of 41,969 high-quality cells from normal birthweight (NBWs) and IUGR piglets (IUGRs) from hepatic tissue and demonstrated strong homology with human using human-derived liver single-cell dataset. We discovered that male liver was much more severely damaged and inflammation by IUGR than female liver at the one-week postnatal node.