Gut microbiota is associated with adiposity markers and probiotics may impact specific genera
Purpose It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associat...
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| Published in: | European journal of nutrition Vol. 59; no. 4; pp. 1751 - 1762 |
|---|---|
| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.06.2020
Springer Nature B.V |
| Subjects: | |
| ISSN: | 1436-6207, 1436-6215, 1436-6215 |
| Online Access: | Get full text |
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| Abstract | Purpose
It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associated with obesity and cardiometabolic risk factors, and to evaluate whether probiotic supplementation modulates gut microbiota.
Methods
We evaluated the effects of a probiotic mixture (2 × 10
10
CFU/day of
Lactobacillus acidophilus
LA-14,
Lactobacillus casei
LC-11,
Lactococcus lactis
LL-23,
Bifidobacterium bifidum
BB-06, and
Bifidobacterium lactis
BL-4) in 32 overweight or obese women in a double-blind, randomized, placebo-controlled study. Using 16S rDNA sequencing, we characterized fecal samples and investigated the relationships between microbiome data and diet, body composition, antioxidant enzymes, and inflammatory profile. In addition, we characterized the degree of variation among fecal communities after the intervention.
Results
BMI, weight, fat mass, lean mass, conicity index, protein intake, monounsaturated fat intake, glycated hemoglobin, TNF-α, and IL6/IL10 were significantly correlated with microbiome composition. The candidate division TM7 was strongly associated with all adiposity markers and
Clostridiaceae
associated negatively with TNF-α. The family
Clostridiaceae
increased and TM7 tended to decrease after the probiotic mixture supplementation. Subjects were clustered according to body composition, and a higher proportion of TM7 was observed in those with higher adiposity.
Conclusions
Ecosystem-wide analysis of probiotic use effects on the gut microbiota revealed a genera specific influence, and one of which (TM7) represents a promising novel target for obesity treatment.
Trial registration number
U1111-1137-4566. |
|---|---|
| AbstractList | It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associated with obesity and cardiometabolic risk factors, and to evaluate whether probiotic supplementation modulates gut microbiota.
We evaluated the effects of a probiotic mixture (2 × 10
CFU/day of Lactobacillus acidophilus LA-14, Lactobacillus casei LC-11, Lactococcus lactis LL-23, Bifidobacterium bifidum BB-06, and Bifidobacterium lactis BL-4) in 32 overweight or obese women in a double-blind, randomized, placebo-controlled study. Using 16S rDNA sequencing, we characterized fecal samples and investigated the relationships between microbiome data and diet, body composition, antioxidant enzymes, and inflammatory profile. In addition, we characterized the degree of variation among fecal communities after the intervention.
BMI, weight, fat mass, lean mass, conicity index, protein intake, monounsaturated fat intake, glycated hemoglobin, TNF-α, and IL6/IL10 were significantly correlated with microbiome composition. The candidate division TM7 was strongly associated with all adiposity markers and Clostridiaceae associated negatively with TNF-α. The family Clostridiaceae increased and TM7 tended to decrease after the probiotic mixture supplementation. Subjects were clustered according to body composition, and a higher proportion of TM7 was observed in those with higher adiposity.
Ecosystem-wide analysis of probiotic use effects on the gut microbiota revealed a genera specific influence, and one of which (TM7) represents a promising novel target for obesity treatment.
U1111-1137-4566. PurposeIt has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associated with obesity and cardiometabolic risk factors, and to evaluate whether probiotic supplementation modulates gut microbiota.MethodsWe evaluated the effects of a probiotic mixture (2 × 1010 CFU/day of Lactobacillus acidophilus LA-14, Lactobacillus casei LC-11, Lactococcus lactis LL-23, Bifidobacterium bifidum BB-06, and Bifidobacterium lactis BL-4) in 32 overweight or obese women in a double-blind, randomized, placebo-controlled study. Using 16S rDNA sequencing, we characterized fecal samples and investigated the relationships between microbiome data and diet, body composition, antioxidant enzymes, and inflammatory profile. In addition, we characterized the degree of variation among fecal communities after the intervention.ResultsBMI, weight, fat mass, lean mass, conicity index, protein intake, monounsaturated fat intake, glycated hemoglobin, TNF-α, and IL6/IL10 were significantly correlated with microbiome composition. The candidate division TM7 was strongly associated with all adiposity markers and Clostridiaceae associated negatively with TNF-α. The family Clostridiaceae increased and TM7 tended to decrease after the probiotic mixture supplementation. Subjects were clustered according to body composition, and a higher proportion of TM7 was observed in those with higher adiposity.ConclusionsEcosystem-wide analysis of probiotic use effects on the gut microbiota revealed a genera specific influence, and one of which (TM7) represents a promising novel target for obesity treatment.Trial registration numberU1111-1137-4566. PURPOSE: It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associated with obesity and cardiometabolic risk factors, and to evaluate whether probiotic supplementation modulates gut microbiota. METHODS: We evaluated the effects of a probiotic mixture (2 × 10¹⁰ CFU/day of Lactobacillus acidophilus LA-14, Lactobacillus casei LC-11, Lactococcus lactis LL-23, Bifidobacterium bifidum BB-06, and Bifidobacterium lactis BL-4) in 32 overweight or obese women in a double-blind, randomized, placebo-controlled study. Using 16S rDNA sequencing, we characterized fecal samples and investigated the relationships between microbiome data and diet, body composition, antioxidant enzymes, and inflammatory profile. In addition, we characterized the degree of variation among fecal communities after the intervention. RESULTS: BMI, weight, fat mass, lean mass, conicity index, protein intake, monounsaturated fat intake, glycated hemoglobin, TNF-α, and IL6/IL10 were significantly correlated with microbiome composition. The candidate division TM7 was strongly associated with all adiposity markers and Clostridiaceae associated negatively with TNF-α. The family Clostridiaceae increased and TM7 tended to decrease after the probiotic mixture supplementation. Subjects were clustered according to body composition, and a higher proportion of TM7 was observed in those with higher adiposity. CONCLUSIONS: Ecosystem-wide analysis of probiotic use effects on the gut microbiota revealed a genera specific influence, and one of which (TM7) represents a promising novel target for obesity treatment. TRIAL REGISTRATION NUMBER: U1111-1137-4566. It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associated with obesity and cardiometabolic risk factors, and to evaluate whether probiotic supplementation modulates gut microbiota.PURPOSEIt has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associated with obesity and cardiometabolic risk factors, and to evaluate whether probiotic supplementation modulates gut microbiota.We evaluated the effects of a probiotic mixture (2 × 1010 CFU/day of Lactobacillus acidophilus LA-14, Lactobacillus casei LC-11, Lactococcus lactis LL-23, Bifidobacterium bifidum BB-06, and Bifidobacterium lactis BL-4) in 32 overweight or obese women in a double-blind, randomized, placebo-controlled study. Using 16S rDNA sequencing, we characterized fecal samples and investigated the relationships between microbiome data and diet, body composition, antioxidant enzymes, and inflammatory profile. In addition, we characterized the degree of variation among fecal communities after the intervention.METHODSWe evaluated the effects of a probiotic mixture (2 × 1010 CFU/day of Lactobacillus acidophilus LA-14, Lactobacillus casei LC-11, Lactococcus lactis LL-23, Bifidobacterium bifidum BB-06, and Bifidobacterium lactis BL-4) in 32 overweight or obese women in a double-blind, randomized, placebo-controlled study. Using 16S rDNA sequencing, we characterized fecal samples and investigated the relationships between microbiome data and diet, body composition, antioxidant enzymes, and inflammatory profile. In addition, we characterized the degree of variation among fecal communities after the intervention.BMI, weight, fat mass, lean mass, conicity index, protein intake, monounsaturated fat intake, glycated hemoglobin, TNF-α, and IL6/IL10 were significantly correlated with microbiome composition. The candidate division TM7 was strongly associated with all adiposity markers and Clostridiaceae associated negatively with TNF-α. The family Clostridiaceae increased and TM7 tended to decrease after the probiotic mixture supplementation. Subjects were clustered according to body composition, and a higher proportion of TM7 was observed in those with higher adiposity.RESULTSBMI, weight, fat mass, lean mass, conicity index, protein intake, monounsaturated fat intake, glycated hemoglobin, TNF-α, and IL6/IL10 were significantly correlated with microbiome composition. The candidate division TM7 was strongly associated with all adiposity markers and Clostridiaceae associated negatively with TNF-α. The family Clostridiaceae increased and TM7 tended to decrease after the probiotic mixture supplementation. Subjects were clustered according to body composition, and a higher proportion of TM7 was observed in those with higher adiposity.Ecosystem-wide analysis of probiotic use effects on the gut microbiota revealed a genera specific influence, and one of which (TM7) represents a promising novel target for obesity treatment.CONCLUSIONSEcosystem-wide analysis of probiotic use effects on the gut microbiota revealed a genera specific influence, and one of which (TM7) represents a promising novel target for obesity treatment.U1111-1137-4566.TRIAL REGISTRATION NUMBERU1111-1137-4566. Purpose It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut microbiota-related diseases, such as obesity. Here, we apply 16S rDNA microbiota profiling to establish which bacteria in the human gut are associated with obesity and cardiometabolic risk factors, and to evaluate whether probiotic supplementation modulates gut microbiota. Methods We evaluated the effects of a probiotic mixture (2 × 10 10 CFU/day of Lactobacillus acidophilus LA-14, Lactobacillus casei LC-11, Lactococcus lactis LL-23, Bifidobacterium bifidum BB-06, and Bifidobacterium lactis BL-4) in 32 overweight or obese women in a double-blind, randomized, placebo-controlled study. Using 16S rDNA sequencing, we characterized fecal samples and investigated the relationships between microbiome data and diet, body composition, antioxidant enzymes, and inflammatory profile. In addition, we characterized the degree of variation among fecal communities after the intervention. Results BMI, weight, fat mass, lean mass, conicity index, protein intake, monounsaturated fat intake, glycated hemoglobin, TNF-α, and IL6/IL10 were significantly correlated with microbiome composition. The candidate division TM7 was strongly associated with all adiposity markers and Clostridiaceae associated negatively with TNF-α. The family Clostridiaceae increased and TM7 tended to decrease after the probiotic mixture supplementation. Subjects were clustered according to body composition, and a higher proportion of TM7 was observed in those with higher adiposity. Conclusions Ecosystem-wide analysis of probiotic use effects on the gut microbiota revealed a genera specific influence, and one of which (TM7) represents a promising novel target for obesity treatment. Trial registration number U1111-1137-4566. |
| Author | Gomes, Aline Corado Hoffmann, Christian Mota, João Felipe |
| Author_xml | – sequence: 1 givenname: Aline Corado surname: Gomes fullname: Gomes, Aline Corado organization: Clinical and Sports Nutrition Research Laboratory (LABINCE), Faculty of Nutrition, Federal University of Goias – sequence: 2 givenname: Christian orcidid: 0000-0003-1736-8007 surname: Hoffmann fullname: Hoffmann, Christian organization: Department of Food Sciences and Experimental Nutrition, School of Pharmaceutical Sciences, University of São Paulo – sequence: 3 givenname: João Felipe orcidid: 0000-0001-6123-7616 surname: Mota fullname: Mota, João Felipe email: jfemota@gmail.com organization: Clinical and Sports Nutrition Research Laboratory (LABINCE), Faculty of Nutrition, Federal University of Goias |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31250099$$D View this record in MEDLINE/PubMed |
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It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut... It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut... PurposeIt has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut... PURPOSE: It has been suggested that restoring gut microbiota alterations with probiotics represents a potential clinical target for the treatment of gut... |
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| SubjectTerms | Adipose tissue Adiposity Adult antioxidant enzymes Antioxidants bacteria Bifidobacterium animalis subsp. lactis Bifidobacterium bifidum Body composition Body fat body mass index Body weight Chemistry Chemistry and Materials Science Clinical trials Clostridiaceae Cluster Analysis Cross-Sectional Studies diet Dietary supplements digestive system Double-Blind Method fat intake Feces - microbiology Female Gastrointestinal Microbiome glycohemoglobin Gut microbiota Hemoglobin Humans Inflammation Interleukin 1 Interleukin 10 Interleukin 6 Intestinal microflora intestinal microorganisms Lactobacillus acidophilus Lactobacillus casei Lactococcus lactis microbiome Microbiomes Microbiota Nutrition Obesity Original Contribution Overweight Overweight - blood Overweight - microbiology Probiotics Probiotics - metabolism Probiotics - pharmacology protein intake ribosomal DNA Risk factors rRNA 16S sequence analysis tumor necrosis factor-alpha Tumor necrosis factor-α women Yogurt |
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| Title | Gut microbiota is associated with adiposity markers and probiotics may impact specific genera |
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