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Identification of food and nutrient components as predictors of Lactobacillus colonization

A previous double-blind, randomized clinical trial of 42 healthy individuals conducted with Lactobacillus johnsonii N6.2 found that the probiotic’s mechanistic tryptophan pathway was significantly modified when the data was stratified based on the individuals’ lactic acid bacteria (LAB) stool conten...

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Autores principales: Thompson, Sharon C., Ford, Amanda L., Moothedan, Elijah J., Stafford, Lauren S., Garrett, Timothy J., Dahl, Wendy J., Conesa, Ana, Gonzalez, Claudio F., Lorca, Graciela L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160632/
https://www.ncbi.nlm.nih.gov/pubmed/37153913
http://dx.doi.org/10.3389/fnut.2023.1118679
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author Thompson, Sharon C.
Ford, Amanda L.
Moothedan, Elijah J.
Stafford, Lauren S.
Garrett, Timothy J.
Dahl, Wendy J.
Conesa, Ana
Gonzalez, Claudio F.
Lorca, Graciela L.
author_facet Thompson, Sharon C.
Ford, Amanda L.
Moothedan, Elijah J.
Stafford, Lauren S.
Garrett, Timothy J.
Dahl, Wendy J.
Conesa, Ana
Gonzalez, Claudio F.
Lorca, Graciela L.
author_sort Thompson, Sharon C.
collection PubMed
description A previous double-blind, randomized clinical trial of 42 healthy individuals conducted with Lactobacillus johnsonii N6.2 found that the probiotic’s mechanistic tryptophan pathway was significantly modified when the data was stratified based on the individuals’ lactic acid bacteria (LAB) stool content. These results suggest that confounding factors such as dietary intake which impact stool LAB content may affect the response to the probiotic treatment. Using dietary intake, serum metabolite, and stool LAB colony forming unit (CFU) data from a previous clinical trial, the relationships between diet, metabolic response, and fecal LAB were assessed. The diets of subject groups with high vs. low CFUs of LAB/g of wet stool differed in their intakes of monounsaturated fatty acids, vegetables, proteins, and dairy. Individuals with high LAB consumed greater amounts of cheese, fermented meats, soy, nuts and seeds, alcoholic beverages, and oils whereas individuals with low LAB consumed higher amounts of tomatoes, starchy vegetables, and poultry. Several dietary variables correlated with LAB counts; positive correlations were determined for nuts and seeds, fish high in N-3 fatty acids, soy, and processed meats, and negative correlations to consumption of vegetables including tomatoes. Using machine learning, predictors of LAB count included cheese, nuts and seeds, fish high in N-3 fatty acids, and erucic acid. Erucic acid alone accurately predicted LAB categorization, and was shown to be utilized as a sole fatty acid source by several Lactobacillus species regardless of their mode of fermentation. Several metabolites were significantly upregulated in each group based on LAB titers, notably polypropylene glycol, caproic acid, pyrazine, and chondroitin sulfate; however, none were correlated with the dietary intake variables. These findings suggest that dietary variables may drive the presence of LAB in the human gastrointestinal tract and potentially impact response to probiotic interventions.
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spelling pubmed-101606322023-05-06 Identification of food and nutrient components as predictors of Lactobacillus colonization Thompson, Sharon C. Ford, Amanda L. Moothedan, Elijah J. Stafford, Lauren S. Garrett, Timothy J. Dahl, Wendy J. Conesa, Ana Gonzalez, Claudio F. Lorca, Graciela L. Front Nutr Nutrition A previous double-blind, randomized clinical trial of 42 healthy individuals conducted with Lactobacillus johnsonii N6.2 found that the probiotic’s mechanistic tryptophan pathway was significantly modified when the data was stratified based on the individuals’ lactic acid bacteria (LAB) stool content. These results suggest that confounding factors such as dietary intake which impact stool LAB content may affect the response to the probiotic treatment. Using dietary intake, serum metabolite, and stool LAB colony forming unit (CFU) data from a previous clinical trial, the relationships between diet, metabolic response, and fecal LAB were assessed. The diets of subject groups with high vs. low CFUs of LAB/g of wet stool differed in their intakes of monounsaturated fatty acids, vegetables, proteins, and dairy. Individuals with high LAB consumed greater amounts of cheese, fermented meats, soy, nuts and seeds, alcoholic beverages, and oils whereas individuals with low LAB consumed higher amounts of tomatoes, starchy vegetables, and poultry. Several dietary variables correlated with LAB counts; positive correlations were determined for nuts and seeds, fish high in N-3 fatty acids, soy, and processed meats, and negative correlations to consumption of vegetables including tomatoes. Using machine learning, predictors of LAB count included cheese, nuts and seeds, fish high in N-3 fatty acids, and erucic acid. Erucic acid alone accurately predicted LAB categorization, and was shown to be utilized as a sole fatty acid source by several Lactobacillus species regardless of their mode of fermentation. Several metabolites were significantly upregulated in each group based on LAB titers, notably polypropylene glycol, caproic acid, pyrazine, and chondroitin sulfate; however, none were correlated with the dietary intake variables. These findings suggest that dietary variables may drive the presence of LAB in the human gastrointestinal tract and potentially impact response to probiotic interventions. Frontiers Media S.A. 2023-04-21 /pmc/articles/PMC10160632/ /pubmed/37153913 http://dx.doi.org/10.3389/fnut.2023.1118679 Text en Copyright © 2023 Thompson, Ford, Moothedan, Stafford, Garrett, Dahl, Conesa, Gonzalez and Lorca. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Thompson, Sharon C.
Ford, Amanda L.
Moothedan, Elijah J.
Stafford, Lauren S.
Garrett, Timothy J.
Dahl, Wendy J.
Conesa, Ana
Gonzalez, Claudio F.
Lorca, Graciela L.
Identification of food and nutrient components as predictors of Lactobacillus colonization
title Identification of food and nutrient components as predictors of Lactobacillus colonization
title_full Identification of food and nutrient components as predictors of Lactobacillus colonization
title_fullStr Identification of food and nutrient components as predictors of Lactobacillus colonization
title_full_unstemmed Identification of food and nutrient components as predictors of Lactobacillus colonization
title_short Identification of food and nutrient components as predictors of Lactobacillus colonization
title_sort identification of food and nutrient components as predictors of lactobacillus colonization
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10160632/
https://www.ncbi.nlm.nih.gov/pubmed/37153913
http://dx.doi.org/10.3389/fnut.2023.1118679
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