Project description:Purpose: To understand the single cell transcriptional and epigenetic landscape of immune cells from infants and young children infected with COVID-19
Project description:Influenza virus transmission between mothers and nursing-infants has not been investigated although mothers and infants often develop severe disease. Ferrets are considered the most appropriate model for influenza studies. We investigated influenza transmission in infant and nursing-mother ferrets. Influenza infected infants transmitted virus to mother mammary glands leading to live virus excretion in milk and influenza virus positive mammary gland epithelial cells. Global gene expression analysis showed down-regulation of milk production and induction of breast involution and oncogenesis pathways. Our results provide insight into influenza transmission between mothers and infants which may impact fields of infectious disease, maternal/infant health and neoplasm etiology. Total RNA was obtained from nursing mother ferret mammary glands at days 3/4 and 6/7 post-intranasal kit infection with 10^5 EID50 A/California/07/2009 (H1N1). Total RNA was also collected from uninfected control nursing mother mammary gland tissues (n = 3). Changes in gene expression relative to uninfected tissue controls were then investigated.
Project description:Influenza virus transmission between mothers and nursing-infants has not been investigated although mothers and infants often develop severe disease. Ferrets are considered the most appropriate model for influenza studies. We investigated influenza transmission in infant and nursing-mother ferrets. Influenza infected infants transmitted virus to mother mammary glands leading to live virus excretion in milk and influenza virus positive mammary gland epithelial cells. Global gene expression analysis showed down-regulation of milk production and induction of breast involution and oncogenesis pathways. Our results provide insight into influenza transmission between mothers and infants which may impact fields of infectious disease, maternal/infant health and neoplasm etiology. Total RNA was obtained from ferret lungs at days 3 and 6 post-intranasal infection with 10^5 EID50 A/California/07/2009 (H1N1) (n = 3/time-point). Total RNA was also collected from uninfected control lung tissues (n = 3). Changes in gene expression relative to uninfected tissue controls were then investigated.
Project description:Influenza virus transmission between mothers and nursing-infants has not been investigated although mothers and infants often develop severe disease. Ferrets are considered the most appropriate model for influenza studies. We investigated influenza transmission in infant and nursing-mother ferrets. Influenza infected infants transmitted virus to mother mammary glands leading to live virus excretion in milk and influenza virus positive mammary gland epithelial cells. Global gene expression analysis showed down-regulation of milk production and induction of breast involution and oncogenesis pathways. Our results provide insight into influenza transmission between mothers and infants which may impact fields of infectious disease, maternal/infant health and neoplasm etiology.
Project description:Influenza virus transmission between mothers and nursing-infants has not been investigated although mothers and infants often develop severe disease. Ferrets are considered the most appropriate model for influenza studies. We investigated influenza transmission in infant and nursing-mother ferrets. Influenza infected infants transmitted virus to mother mammary glands leading to live virus excretion in milk and influenza virus positive mammary gland epithelial cells. Global gene expression analysis showed down-regulation of milk production and induction of breast involution and oncogenesis pathways. Our results provide insight into influenza transmission between mothers and infants which may impact fields of infectious disease, maternal/infant health and neoplasm etiology.
Project description:In this study we investigated whether there exists a genomic signature that can accurately predict the course of a respiratory syncytial virus (RSV) infection in hospitalized young infants. We used early blood microarray transcriptome profiles from 39 infants that were followed until recovery and of which the level of disease severity was determined retrospectively. Applying support vector machine learning on age by sex standardized transcriptomic data, an 84 gene signature was identified that discriminated hospitalized infants with eventually less severe RSV infection from infants that suffered from most severe RSV disease.
Project description:This study was designed to identify differentially expressed (DE) genes between natural breastfeeding young South China tiger whole blood and artificial feeding young South China tiger whole blood through microarray and bioinformatics analysis, thus trying to identify modified metabolic pathways as a consequence of milk replacer during the suckling period.
Project description:The use of microbiological cultures for diagnosing bacterial infections in young febrile infants have substantial limitations, including false positive and false negative cultures, and non-ideal turn-around times. Analysis of host genomic expression patterns (“RNA biosignatures”) in response to the presence of specific pathogens, however, may provide an alternate and potentially improved diagnostic approach. This study was designed to define bacterial and non-bacterial RNA biosignatures to distinguish these infections in young febrile infants.
Project description:The use of microbiological cultures for diagnosing bacterial infections in young febrile infants have substantial limitations, including false positive and false negative cultures, and non-ideal turn-around times. Analysis of host genomic expression patterns (âRNA biosignaturesâ) in response to the presence of specific pathogens, however, may provide an alternate and potentially improved diagnostic approach. This study was designed to define bacterial and non-bacterial RNA biosignatures to distinguish these infections in young febrile infants. A total of 279 febrile infants and 19 healthy afebrile control infants aged 0-6 months (for a total of 298 samples) for microarray analysis. For analytic purposes, we classified patients into two groups, those with bacterial infections (n=89) and those with non-bacterial infections (n=190). 144 of the samples were run on Illumina HT12 V4 R1 chips. Of these, there were 34 bacterial infections, 105 non-bacterial infections, and 5 healthy afebrile controls. 154 of the samples were run on Illumina HT12 V4 R2 chips. Of these, there were 55 bacterial infections, 85 non-bacterial infections, and 14 healthy afebrile controls.