Interactions between fecal gut microbiome, enteric pathogens, and energy regulating hormones among acutely malnourished rural Gambian children

Dynamics of the Gut Microbiome in Shigella -Infected Children during the First Two Years of Life

“…The “recovery species” may also interact with other bacteria, their metabolites, or the host immune system ( 29 , 72 ). A study of 6- to 24-month-old malnourished children in Gambia implicated species belonging to Lachnospiraceae in observed shifts from acute malnutrition following nutritional interventions ( 26 ). While the infants’ diets were not recorded in our study, a similar recovery effect may be plausible in our study.…”

“…The colonization of the gastrointestinal tract in infants is dynamic and sensitive to many factors, such as gestational age ( 18 – 20 ), mode of delivery (vaginal or cesarean delivery) ( 18 , 21 ), and nutritional status (e.g., breastfeeding status and malnutrition) ( 22 – 26 ), and these can vary greatly across different geographical settings ( 27 , 28 ). There has been an increased interest in understanding the role of the gastrointestinal microbiota in promoting health, including its potential to reduce illnesses early in life ( 29 – 31 ).…”

Differential network analysis of oral microbiome metatranscriptomes identifies community scale metabolic restructuring in dental caries

“…Feature selection and predictive modeling was implemented to further evaluate PGFC features that were indicative of caries diagnosis. In particular, the Clairvoyance feature selection algorithm ( 37 ) that has been previously evaluated on identifying diagnostic genes related to antibiotic resistance ( 37 ) and multimodal associations related to childhood undernutrition ( 38 ) was used to identify PGFCs that were able to accurately discriminate caries individuals from caries-free individuals. To allow for seamless interpretation with the network analysis, the set of 212 PGFCs from the DCN were used as input into the feature selection algorithm and this was implemented for PGFCs represented as MCR and as CLR transformed abundances to yield two separate feature sets.…”

Early-life chemical exposome and gut microbiome development: African research perspectives within a global environmental health context

“…Mounting evidence points to the involvement of the HGM in a multitude of pathophysiological conditions, including asthma [5], colorectal cancer [6], diabetes [7], and obesity [8]. In African cohorts, the HGM has been implicated in playing a role in severe malnutrition in children [9] as well as the severity of neglected tropical diseases such as schistosomiasis [10,11]. Environmental exposures, such as to dietary chemicals, can have profound effect on the composition of the HGM [12].…”