Dataset Information

DAC for Transcriptome analysis in very preterm infants with chronic lung disease after birth

ABSTRACT: Data Access Committee EGAC00001000698

PROVIDER: EGAC00001000698 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Publications

Attenuated PDGF signaling drives alveolar and microvascular defects in neonatal chronic lung disease.

Oak Prajakta P Pritzke Tina T Thiel Isabella I Koschlig Markus M Mous Daphne S DS Windhorst Anita A Jain Noopur N Eickelberg Oliver O Foerster Kai K Schulze Andreas A Goepel Wolfgang W Reicherzer Tobias T Ehrhardt Harald H Rottier Robbert J RJ Ahnert Peter P Gortner Ludwig L Desai Tushar J TJ Hilgendorff Anne A

EMBO molecular medicine 20171101 11

Neonatal chronic lung disease (nCLD) affects a significant number of neonates receiving mechanical ventilation with oxygen-rich gas (MV-O2). Regardless, the primary molecular driver of the disease remains elusive. We discover significant enrichment for SNPs in the PDGF-Rα gene in preterms with nCLD and directly test the effect of PDGF-Rα haploinsufficiency on the development of nCLD using a preclinical mouse model of MV-O2 In the context of MV-O2, attenuated PDGF ...[more]

PMID: 28923828

Similar Datasets

Project description:ObjectivesThe aim of the present study was to examine the changes in bacteria in hospitalized preterm infants during the first month of life.MethodsRectal swabs were collected daily from 12 preterm infants. DNA was extracted from swabs from day of birth and weekly thereafter. Bacterial taxa were identified with next generation sequencing using universal bacterial primers targeted at the 16S ribosomal DNA on a 454 Roche titanium platform. Sequences were clustered into operational taxonomic units, and taxonomy was assigned against the Greengenes databank using Quantitative Insights Into Microbial Ecology version 1.4. Quantitative polymerase chain reaction was used to determine the abundance of Bifidobacterium spp. Functional assessment of the microbiome was performed with Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt).ResultsAverage birth weight and gestational age were 1055 g and 28 weeks, respectively. There were 6 to 35 different bacterial families identified in the day-of-birth samples, unrelated to the mode of delivery. Richness decreased through hospitalization (week 1, 16.9 ± 7.7 vs weeks 3-5, 10.7 ± 3.4, P < 0.001). The Shannon diversity index demonstrated the lowest diversity at birth, an increase at week 2, followed by a rapid decline at weeks 3 to 5, suggesting the development of a more uniform microbiota composition after 2 weeks of stay at a neonatal intensive care unit. Enterobacteriaceae, Staphylococcaceae, and Enterococcaceae constituted the majority of the bacterial families. Bifidobacterium spp were infrequently detected at extremely low levels. PICRUSt analysis revealed the enhancement of peroxisome, PPAR, and adipocytokine signaling; plant-pathogen interaction; and aminobenzoate degradation pathways in week 1 samples.ConclusionsOur results suggest that although preterm infants have individualized microbiota that are detectable at birth, the differences decrease during the neonatal intensive care unit hospitalization with increasing prominence of pathogenic microbiota.

Dataset Information

DAC for Transcriptome analysis in very preterm infants with chronic lung disease after birth

Publications

Attenuated PDGF signaling drives alveolar and microvascular defects in neonatal chronic lung disease.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets