51. Compositional analyses reveal correlations between taxon-level gut bacterial abundance and peripheral T cell marker expression in African infants.
- Author
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Brown BP and Jaspan HB
- Subjects
- Bacteria genetics, Bacteria isolation & purification, Bacteroides genetics, Bacteroides isolation & purification, Bifidobacterium genetics, Bifidobacterium isolation & purification, CD4 Lymphocyte Count, Cohort Studies, Escherichia genetics, Escherichia isolation & purification, Genes, Bacterial, HIV Infections immunology, HIV Infections transmission, Humans, Infant, Infant, Newborn, Infectious Disease Transmission, Vertical, Longitudinal Studies, Metagenomics, Mouth Mucosa immunology, Mouth Mucosa metabolism, Mouth Mucosa microbiology, Principal Component Analysis, RNA, Ribosomal, 16S genetics, Receptors, Chemokine metabolism, South Africa epidemiology, T-Lymphocyte Subsets metabolism, Bacteria classification, Breast Feeding, Gastrointestinal Microbiome genetics, Gastrointestinal Microbiome immunology, Intraepithelial Lymphocytes metabolism
- Abstract
Although exclusive breastfeeding has been linked to lower rates of postnatal HIV transmission compared to nonexclusive breastfeeding, mechanisms underlying this are unclear. Across a longitudinally sampled cohort of South African infants, we showed that exclusively breastfed (EBF) infants had altered gut bacterial communities when compared to nonexclusively breastfed (NEBF) infants, as well as reduced peripheral CD4 + T cell activation and lowered chemokine and chemokine receptor expression in the oral mucosa. We further demonstrated that the relative abundance of key taxa was correlated with peripheral CD4 + T cell activation. Here, we supplement those findings by using compositional data analyses to identify shifts in the abundance of several Bifidobacteria strains relative to select strains of Escherichia, Bacteroides , and others that are associated with the transition to NEBF. We illustrate that the abundance ratio of these taxa is tightly correlated with feeding modality and is a strong predictor of peripheral T cell activation. More broadly, we discuss our study in the context of novel developments and explore future directions for the field.
- Published
- 2020
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