Project description:BackgroundPreterm infants are at high risk for growth failure and childhood weight problems due to the disruption of normal intrauterine growth and nutrition. Early nutritional support and microbiome acquisition can play an important role in childhood growth.ObjectiveOur study examined potential postnatal indicators, including gut bacterial compositions, macronutrients, and catch-up growth, of growth pattern from infancy into early childhood.MethodsThis is a retrospective study of preterm infants born < 35 weeks who were followed up in the university complex care clinic from 2012-2018. Weight and length z-scores at birth, 1, 2, 4, 6, 12 and 15 months, and body mass index (BMI) and length z-scores from 2 to 5 years of age were collected. Catch-up growths were calculated by changes in z-scores and divided into early (birth-4 months) and late (4-18 months). Postnatal nutritional data and fecal samples were collected. Fecal microbiome data obtained from 16S RNA V4 sequencing was analyzed against clinical and growth data using a regression model.Results160 infants included in the final analysis had birth weight and gestational age of 1,149 ± 496 grams and 28 ± 3 weeks. Early weight gain positively correlated with length z-scores but not with BMI at 2 years of age. BMI at 2 years of age strongly correlated with BMI at 3, 4, and 5 years of age. Postnatal abundance of Gammaproteobacteria was negatively associated with early growth while Bacteroides and Lactobacillus were positively associated with childhood BMI.ConclusionOur findings suggest that optimal postnatal nutrition promoted early catch-up growth in weight as well as improved linear growth without influence on childhood BMI. Postnatal gut microbial colonization, which is a modifiable factor, was associated with childhood growth in preterm infants.
Project description:Development of the gut microbiota is greatly impacted in preterm infants. Despite increasing knowledge about microbiota composition in preterm infants, knowledge about the functional signatures of the intestinal microbiota remains limited. The aim was to study transitions in microbiota activity during the first six postnatal weeks in ten preterm infants. A total of 64 stool samples were measured by LC-MS/MS.
Project description:Development of the gut microbiota is greatly impacted in preterm infants. Despite increasing knowledge about microbiota composition in preterm infants, knowledge about the functional signatures of the intestinal microbiota remains limited. The aim was to study transitions in microbiota activity during the first six postnatal weeks in ten preterm infants. A total of 64 stool samples were measured by LC-MS/MS.
Project description:91 preterm infant gut metaproteomes measured in technical duplicate using an eleven salt pulse 2D-LC-MS/MS method. Samples represent 17 preterm infants over the first several weeks of life, of which 6 preterm infants eventually developed necrotizing enterocolitis.
Project description:We procured PBMCs whole blood from five HC preterm infants and five preterm infants with BPD. PBMCs were extracted using a density gradient centrifugation method. Initially, 10ml of peripheral blood was mixed with an equal volume of physiological saline, then carefully layered onto Ficoll solution (T10124, from Shangbao Biotech Co., Ltd., Shanghai). After centrifugation at 2,000 rpm for 20 minutes, the cells stratified due to differences in density, with PBMCs positioned between the red blood cells and plasma. Subsequently, the intermediate layer containing PBMCs was gently collected, washed several times with physiological saline to remove residual medium and red blood cells, and finally, PBMCs were isolated and collected through centrifugation.
Project description:We conducted a prospective cohort study with independent Discovery and Validation cohorts, to formulate predictive biomarkers for Bronchopulmonary Dysplasia in extremely preterm infants. Tracheal aspirate samples were collected at birth from extremely preterm infants. Exosomes were extracted from tracheal aspirates and total RNA was extracted from these exosomes from individual samples. miRNA profiling for all ~ 800 miRNAs was conducted on each sample by nanostring platform. This study found that a distinct airway exosomal miRNA sigrature at birth (decreased miR 876-3p) predicts future development of severe Bronchopulmonary Dysplasia in extremely preterm infants.
Project description:DNA methylation (DNAm) plays a determining role in neural cell fate and provides a molecular link between early life stress and life-course neuropsychiatric disease. Preterm birth is a profound environmental stressor that is closely associated with alterations in connectivity of neural systems and long-term neuropsychiatric impairment. The aims of this study were to examine the relationship between preterm birth and DNAm and to investigate factors that contribute to variance in DNAm. DNA was collected from preterm infants (birth < 32 weeks’ gestation) and healthy controls (birth > 37 weeks), and a genome-wide analysis of DNAm was performed; diffusion MRI (dMRI) data were acquired from the preterm group. The major fasciculi were segmented, and fractional anisotropy, mean diffusivity and tract shape were calculated. Principal components analysis was used to investigate the contribution of MRI features and key clinical variables to variance in DNAm. Differentially methylated regions were found within 25 gene bodies and 61 promoters of protein-coding genes in preterm infants compared with controls; 10 of these are associated with neural development or function. Differences detected in the array were validated with pyrosequencing. Ninety-five percent of the variance in DNAm in preterm infants was explained by 23 principal components (PC); corticospinal tract shape associated with 6th PC, and gender and early nutritional exposure associated with the 7th PC. Preterm birth is associated with alterations in the methylome at sites that influence neural development and function. The differentially methylated regions identified provide several promising candidate genes for understanding the genetic/epigenetic basis of preterm brain injury.
Project description:Bronchopulmonary dysplasia (BPD) is a lung disease in premature infants characterized by impaired pulmonary development which persists into later life. While advances in neonatal care have improved survival rates of premature infants, cases of BPD haves been increased. Therapeutic options are limited for prevention and treatment. This study was designed to explore the relationship between gestational age (GA), birth weight and estímate blood cell-type composition in premature infants and to elucidate early epigenetic biomarkers associated with BPD. Cord blood DNA from preterm neonates that went on to develop BPD (n = 14) or not (nonBPD, n = 93) was applied to Illumina 450K methylation arrays. Using DNA methylation analysis of cord blood DNA, we investigated association of GA and birth weight with the estimated distribution of cord blood cell types, particularly the nucleated red blood cell (NRBC) in a pilot-size cohort of preterm infants with or without BPD. We describe changes in methylation-based estimates of blood cell-type composition in relation to GA and birth weight. After adjusting for covariates (GA, birth weight, cell type proportions, etc.) we identify differentially methylated CpGs and genes associated with BPD.
Project description:Bronchopulmonary dysplasia (BPD) is a lung disease in premature infants characterized by impaired pulmonary development which persists into later life. While advances in neonatal care have improved survival rates of premature infants, cases of BPD haves been increased. Therapeutic options are limited for prevention and treatment. This study was designed to explore the relationship between gestational age (GA), birth weight and estímate blood cell-type composition in premature infants and to elucidate early epigenetic biomarkers associated with BPD. Peripheral blood DNA (at days 14 and 28) from preterm neonates that went on to develop BPD (n = 14) or not (nonBPD, n = 93) was applied to Illumina EPIC methylation arrays. Using DNA methylation analysis of cord blood DNA, we investigated association of GA and birth weight with the estimated distribution of cord blood cell types, particularly the nucleated red blood cell (NRBC) in a pilot-size cohort of preterm infants with or without BPD. We describe changes in methylation-based estimates of blood cell-type composition in relation to GA and birth weight. After adjusting for covariates (GA, birth weight, cell type proportions, etc.) we identify differentially methylated CpGs and genes associated with BPD at different time points.