The Experts below are selected from a list of 948 Experts worldwide ranked by ideXlab platform
Ane C Westerberg - One of the best experts on this subject based on the ideXlab platform.
-
model selection reveals the butyrate producing gut bacterium Coprococcus eutactus as predictor for language development in 3 year old rural ugandan children
Frontiers in Microbiology, 2021Co-Authors: Remco Kort, Job Schlosser, Alan R Vazquez, Prudence Atukunda, Grace Kyamazima Mehangye Muhoozi, Alex Paul Wacoo, Wilbert Sybesma, Ane C WesterbergAbstract:Introduction: The metabolic activity of the gut microbiota plays a pivotal role in the gut-brain axis through the effects of bacterial metabolites on brain function and development. In this study we investigated the association of gut microbiota composition with language development of three-year-old rural Ugandan children. Methods: We studied the language ability in 139 children of 36 months in our controlled maternal education intervention trial to stimulate children’s growth and development. The dataset includes 1170 potential predictors, including anthropometric and cognitive parameters at 24 months, 542 composition parameters of the children’s gut microbiota at 24 months and 621 of these parameters at 36 months. We applied a novel computationally efficient version of the all-subsets regression methodology and identified predictors of language ability of 36-months-old children scored according to the Bayley Scales of Infant and Toddler Development (BSID-III). Results: The best three-term model, selected from more than 266 million models, includes the predictors Coprococcus eutactus at 24 months of age, Bifidobacterium at 36 months of age, and language development at 24 months. The top 20 four-term models, selected from more than 77 billion models, consistently include Coprococcus eutactus abundance at 24 months, while 14 of these models include the other two predictors as well. Mann-Whitney U tests suggest that the abundance of gut bacteria in language non-impaired children (n = 78) differs from that in language impaired children (n = 61). While anaerobic butyrate-producers, including Coprococcus eutactus, Faecalibacterium prausnitzii, Holdemanella biformis, Roseburia hominis are less abundant, facultative anaerobic bacteria, including Granulicatella elegans, Escherichia/Shigella and Campylobacter coli, are more abundant in language impaired children. The overall predominance of oxygen tolerant species in the gut microbiota was slightly higher in the language impaired group than in the non-impaired group (P = 0.09). Conclusions: Application of the all-subsets regression methodology to microbiota data established a correlation between the relative abundance of the anaerobic butyrate-producing gut bacterium Coprococcus eutactus and language development in Ugandan children. We propose that the gut redox potential and the overall bacterial butyrate-producing capacity in the gut are important factors for language development.
-
model selection reveals the butyrate producing gut bacterium Coprococcus eutactus as predictor for language development in three year old rural ugandan children
medRxiv, 2021Co-Authors: Remco Kort, Job Schlosser, Alan R Vazquez, Prudence Atukunda, Grace Kyamazima Mehangye Muhoozi, Alex Paul Wacoo, Wilbert Sybesma, Ane C WesterbergAbstract:ABSTRACT Introduction The metabolic activity of the gut microbiota plays a pivotal role in the gut-brain axis through the effects of bacterial metabolites on brain function and development. In this study we investigated the association of gut microbiota composition with language development of three-year-old rural Ugandan children. Methods We studied the language ability in 139 children of 36 months in our controlled maternal education intervention trial to stimulate children’s growth and development. The dataset includes 1170 potential predictors, including anthropometric and cognitive parameters at 24 months, 542 composition parameters of the children’s gut microbiota at 24 months and 621 of these parameters at 36 months. We applied a novel computationally efficient version of the all-subsets regression methodology and identified predictors of language ability of 36-months-old children scored according to the Bayley Scales of Infant and Toddler Development (BSID-III). Results The best three-term model, selected from more than 266 million models, includes the predictors Coprococcus eutactus at 24 months of age, Bifidobacterium at 36 months of age, and language development at 24 months. The top 20 four-term models, selected from more than 77 billion models, consistently include Coprococcus eutactus abundance at 24 months, while 14 of these models include the other two predictors as well. Mann-Whitney U tests further suggest that the abundance of gut bacteria in language non-impaired children (n = 78) differs from that in language impaired children (n = 61) at 24 months. While obligate anaerobic butyrate-producers, including Coprococcus eutactus, Faecalibacterium prausnitzii, Holdemanella biformis, Roseburia hominis are less abundant, facultative anaerobic bacteria, including Granulicatella elegans, Escherichia/Shigella and Campylobacter coli, are more abundant in language impaired children. The overall predominance of oxygen tolerant species in the gut microbiota of Ugandan children at the age 24 months, expressed as the Metagenomic Aerotolerant Predominance Index (MAPI), was slightly higher in the language impaired group than in the non-impaired group (P = 0.09). Conclusions Application of the all-subsets regression methodology to microbiota data established a correlation between the relative abundance of the anaerobic butyrate-producing gut bacterium Coprococcus eutactus and language development in Ugandan children. We propose that the gut redox potential and the overall bacterial butyrate-producing capacity could be factors of importance as gut microbiota members with a positive correlation to language development are mostly strictly anaerobic butyrate-producers, while microbiota members that correlate negatively, are predominantly oxygen tolerant with a variety of known adverse effects.
Alex Paul Wacoo - One of the best experts on this subject based on the ideXlab platform.
-
model selection reveals the butyrate producing gut bacterium Coprococcus eutactus as predictor for language development in 3 year old rural ugandan children
Frontiers in Microbiology, 2021Co-Authors: Remco Kort, Job Schlosser, Alan R Vazquez, Prudence Atukunda, Grace Kyamazima Mehangye Muhoozi, Alex Paul Wacoo, Wilbert Sybesma, Ane C WesterbergAbstract:Introduction: The metabolic activity of the gut microbiota plays a pivotal role in the gut-brain axis through the effects of bacterial metabolites on brain function and development. In this study we investigated the association of gut microbiota composition with language development of three-year-old rural Ugandan children. Methods: We studied the language ability in 139 children of 36 months in our controlled maternal education intervention trial to stimulate children’s growth and development. The dataset includes 1170 potential predictors, including anthropometric and cognitive parameters at 24 months, 542 composition parameters of the children’s gut microbiota at 24 months and 621 of these parameters at 36 months. We applied a novel computationally efficient version of the all-subsets regression methodology and identified predictors of language ability of 36-months-old children scored according to the Bayley Scales of Infant and Toddler Development (BSID-III). Results: The best three-term model, selected from more than 266 million models, includes the predictors Coprococcus eutactus at 24 months of age, Bifidobacterium at 36 months of age, and language development at 24 months. The top 20 four-term models, selected from more than 77 billion models, consistently include Coprococcus eutactus abundance at 24 months, while 14 of these models include the other two predictors as well. Mann-Whitney U tests suggest that the abundance of gut bacteria in language non-impaired children (n = 78) differs from that in language impaired children (n = 61). While anaerobic butyrate-producers, including Coprococcus eutactus, Faecalibacterium prausnitzii, Holdemanella biformis, Roseburia hominis are less abundant, facultative anaerobic bacteria, including Granulicatella elegans, Escherichia/Shigella and Campylobacter coli, are more abundant in language impaired children. The overall predominance of oxygen tolerant species in the gut microbiota was slightly higher in the language impaired group than in the non-impaired group (P = 0.09). Conclusions: Application of the all-subsets regression methodology to microbiota data established a correlation between the relative abundance of the anaerobic butyrate-producing gut bacterium Coprococcus eutactus and language development in Ugandan children. We propose that the gut redox potential and the overall bacterial butyrate-producing capacity in the gut are important factors for language development.
-
model selection reveals the butyrate producing gut bacterium Coprococcus eutactus as predictor for language development in three year old rural ugandan children
medRxiv, 2021Co-Authors: Remco Kort, Job Schlosser, Alan R Vazquez, Prudence Atukunda, Grace Kyamazima Mehangye Muhoozi, Alex Paul Wacoo, Wilbert Sybesma, Ane C WesterbergAbstract:ABSTRACT Introduction The metabolic activity of the gut microbiota plays a pivotal role in the gut-brain axis through the effects of bacterial metabolites on brain function and development. In this study we investigated the association of gut microbiota composition with language development of three-year-old rural Ugandan children. Methods We studied the language ability in 139 children of 36 months in our controlled maternal education intervention trial to stimulate children’s growth and development. The dataset includes 1170 potential predictors, including anthropometric and cognitive parameters at 24 months, 542 composition parameters of the children’s gut microbiota at 24 months and 621 of these parameters at 36 months. We applied a novel computationally efficient version of the all-subsets regression methodology and identified predictors of language ability of 36-months-old children scored according to the Bayley Scales of Infant and Toddler Development (BSID-III). Results The best three-term model, selected from more than 266 million models, includes the predictors Coprococcus eutactus at 24 months of age, Bifidobacterium at 36 months of age, and language development at 24 months. The top 20 four-term models, selected from more than 77 billion models, consistently include Coprococcus eutactus abundance at 24 months, while 14 of these models include the other two predictors as well. Mann-Whitney U tests further suggest that the abundance of gut bacteria in language non-impaired children (n = 78) differs from that in language impaired children (n = 61) at 24 months. While obligate anaerobic butyrate-producers, including Coprococcus eutactus, Faecalibacterium prausnitzii, Holdemanella biformis, Roseburia hominis are less abundant, facultative anaerobic bacteria, including Granulicatella elegans, Escherichia/Shigella and Campylobacter coli, are more abundant in language impaired children. The overall predominance of oxygen tolerant species in the gut microbiota of Ugandan children at the age 24 months, expressed as the Metagenomic Aerotolerant Predominance Index (MAPI), was slightly higher in the language impaired group than in the non-impaired group (P = 0.09). Conclusions Application of the all-subsets regression methodology to microbiota data established a correlation between the relative abundance of the anaerobic butyrate-producing gut bacterium Coprococcus eutactus and language development in Ugandan children. We propose that the gut redox potential and the overall bacterial butyrate-producing capacity could be factors of importance as gut microbiota members with a positive correlation to language development are mostly strictly anaerobic butyrate-producers, while microbiota members that correlate negatively, are predominantly oxygen tolerant with a variety of known adverse effects.
Grace Kyamazima Mehangye Muhoozi - One of the best experts on this subject based on the ideXlab platform.
-
model selection reveals the butyrate producing gut bacterium Coprococcus eutactus as predictor for language development in 3 year old rural ugandan children
Frontiers in Microbiology, 2021Co-Authors: Remco Kort, Job Schlosser, Alan R Vazquez, Prudence Atukunda, Grace Kyamazima Mehangye Muhoozi, Alex Paul Wacoo, Wilbert Sybesma, Ane C WesterbergAbstract:Introduction: The metabolic activity of the gut microbiota plays a pivotal role in the gut-brain axis through the effects of bacterial metabolites on brain function and development. In this study we investigated the association of gut microbiota composition with language development of three-year-old rural Ugandan children. Methods: We studied the language ability in 139 children of 36 months in our controlled maternal education intervention trial to stimulate children’s growth and development. The dataset includes 1170 potential predictors, including anthropometric and cognitive parameters at 24 months, 542 composition parameters of the children’s gut microbiota at 24 months and 621 of these parameters at 36 months. We applied a novel computationally efficient version of the all-subsets regression methodology and identified predictors of language ability of 36-months-old children scored according to the Bayley Scales of Infant and Toddler Development (BSID-III). Results: The best three-term model, selected from more than 266 million models, includes the predictors Coprococcus eutactus at 24 months of age, Bifidobacterium at 36 months of age, and language development at 24 months. The top 20 four-term models, selected from more than 77 billion models, consistently include Coprococcus eutactus abundance at 24 months, while 14 of these models include the other two predictors as well. Mann-Whitney U tests suggest that the abundance of gut bacteria in language non-impaired children (n = 78) differs from that in language impaired children (n = 61). While anaerobic butyrate-producers, including Coprococcus eutactus, Faecalibacterium prausnitzii, Holdemanella biformis, Roseburia hominis are less abundant, facultative anaerobic bacteria, including Granulicatella elegans, Escherichia/Shigella and Campylobacter coli, are more abundant in language impaired children. The overall predominance of oxygen tolerant species in the gut microbiota was slightly higher in the language impaired group than in the non-impaired group (P = 0.09). Conclusions: Application of the all-subsets regression methodology to microbiota data established a correlation between the relative abundance of the anaerobic butyrate-producing gut bacterium Coprococcus eutactus and language development in Ugandan children. We propose that the gut redox potential and the overall bacterial butyrate-producing capacity in the gut are important factors for language development.
-
model selection reveals the butyrate producing gut bacterium Coprococcus eutactus as predictor for language development in three year old rural ugandan children
medRxiv, 2021Co-Authors: Remco Kort, Job Schlosser, Alan R Vazquez, Prudence Atukunda, Grace Kyamazima Mehangye Muhoozi, Alex Paul Wacoo, Wilbert Sybesma, Ane C WesterbergAbstract:ABSTRACT Introduction The metabolic activity of the gut microbiota plays a pivotal role in the gut-brain axis through the effects of bacterial metabolites on brain function and development. In this study we investigated the association of gut microbiota composition with language development of three-year-old rural Ugandan children. Methods We studied the language ability in 139 children of 36 months in our controlled maternal education intervention trial to stimulate children’s growth and development. The dataset includes 1170 potential predictors, including anthropometric and cognitive parameters at 24 months, 542 composition parameters of the children’s gut microbiota at 24 months and 621 of these parameters at 36 months. We applied a novel computationally efficient version of the all-subsets regression methodology and identified predictors of language ability of 36-months-old children scored according to the Bayley Scales of Infant and Toddler Development (BSID-III). Results The best three-term model, selected from more than 266 million models, includes the predictors Coprococcus eutactus at 24 months of age, Bifidobacterium at 36 months of age, and language development at 24 months. The top 20 four-term models, selected from more than 77 billion models, consistently include Coprococcus eutactus abundance at 24 months, while 14 of these models include the other two predictors as well. Mann-Whitney U tests further suggest that the abundance of gut bacteria in language non-impaired children (n = 78) differs from that in language impaired children (n = 61) at 24 months. While obligate anaerobic butyrate-producers, including Coprococcus eutactus, Faecalibacterium prausnitzii, Holdemanella biformis, Roseburia hominis are less abundant, facultative anaerobic bacteria, including Granulicatella elegans, Escherichia/Shigella and Campylobacter coli, are more abundant in language impaired children. The overall predominance of oxygen tolerant species in the gut microbiota of Ugandan children at the age 24 months, expressed as the Metagenomic Aerotolerant Predominance Index (MAPI), was slightly higher in the language impaired group than in the non-impaired group (P = 0.09). Conclusions Application of the all-subsets regression methodology to microbiota data established a correlation between the relative abundance of the anaerobic butyrate-producing gut bacterium Coprococcus eutactus and language development in Ugandan children. We propose that the gut redox potential and the overall bacterial butyrate-producing capacity could be factors of importance as gut microbiota members with a positive correlation to language development are mostly strictly anaerobic butyrate-producers, while microbiota members that correlate negatively, are predominantly oxygen tolerant with a variety of known adverse effects.
Michael Scharl - One of the best experts on this subject based on the ideXlab platform.
-
The presence of genetic risk variants within PTPN2 and PTPN22 is associated with intestinal microbiota alterations in Swiss IBD cohort patients.
PloS one, 2018Co-Authors: Bahtiyar Yilmaz, Marianne R. Spalinger, Luc Biedermann, Yannick Franc, Nicolas Fournier, Jean-benoit Rossel, Pascal Juillerat, Gerhard Rogler, Andrew J. Macpherson, Michael ScharlAbstract:Background Genetic risk factors, intestinal microbiota and a dysregulated immune system contribute to the pathogenesis of inflammatory bowel disease (IBD). We have previously demonstrated that dysfunction of protein tyrosine phosphatase non-receptor type 2 (PTPN2) and PTPN22 contributes to alterations of intestinal microbiota and the onset of chronic intestinal inflammation in vivo. Here, we investigated the influence of PTPN2 and PTPN22 gene variants on intestinal microbiota composition in IBD patients. Methods Bacterial DNA from mucosa-associated samples of 75 CD and 57 UC patients were sequenced using 16S rRNA sequencing approach. Microbial analysis, including alpha diversity, beta diversity and taxonomical analysis by comparing to PTPN2 (rs1893217) and PTPN22 (rs2476601) genotypes was performed in QIIME, the phyloseq R package and MaAsLin pipeline. Results In PTPN2 variant UC patients, we detected an increase in relative abundance of unassigned genera from Clostridiales and Lachnospiraceae families and reduction of Roseburia when compared to PTPN2 wild-type (WT) patients. Ruminoccocus was increased in PTPN22 variant UC patients. In CD patients with severe disease course, Faecalibacterium, Bilophila, Coprococcus, unclassified Erysipelotrichaeceae, unassigned genera from Clostridiales and Ruminococcaceae families were reduced and Bacteroides were increased in PTPN2 WT carriers, while Faecalibacterium, Bilophila, Coprococcus, and Erysipelotrichaeceae were reduced in PTPN22 WT patients when compared to patients with mild disease. In UC patients with severe disease, relative abundance of Lachnobacterium was reduced in PTPN2 and PTPN22 WT patients, Dorea was increased in samples from PTPN22 WT carriers and an unassigned genus from Ruminococcaceae gen. was increased in patients with PTPN2 variant genotype. Conclusions We identified that IBD-associated genetic risk variants, disease severity and the interaction of these factors are related to significant alterations in intestinal microbiota composition of IBD patients.
Jack A Gilbert - One of the best experts on this subject based on the ideXlab platform.
-
lactobacillus rhamnosus gg supplemented formula expands butyrate producing bacterial strains in food allergic infants
The ISME Journal, 2016Co-Authors: Roberto Berni Canani, Naseer Sangwan, Andrew T Stefka, Rita Nocerino, Lorella Paparo, Rosita Aitoro, Antonio Calignano, Aly A Khan, Jack A GilbertAbstract:Dietary intervention with extensively hydrolyzed casein formula supplemented with Lactobacillus rhamnosus GG (EHCF+LGG) accelerates tolerance acquisition in infants with cow's milk allergy (CMA). We examined whether this effect is attributable, at least in part, to an influence on the gut microbiota. Fecal samples from healthy controls (n=20) and from CMA infants (n=19) before and after treatment with EHCF with (n=12) and without (n=7) supplementation with LGG were compared by 16S rRNA-based operational taxonomic unit clustering and oligotyping. Differential feature selection and generalized linear model fitting revealed that the CMA infants have a diverse gut microbial community structure dominated by Lachnospiraceae (20.5±9.7%) and Ruminococcaceae (16.2±9.1%). Blautia, Roseburia and Coprococcus were significantly enriched following treatment with EHCF and LGG, but only one genus, Oscillospira, was significantly different between infants that became tolerant and those that remained allergic. However, most tolerant infants showed a significant increase in fecal butyrate levels, and those taxa that were significantly enriched in these samples, Blautia and Roseburia, exhibited specific strain-level demarcations between tolerant and allergic infants. Our data suggest that EHCF+LGG promotes tolerance in infants with CMA, in part, by influencing the strain-level bacterial community structure of the infant gut.