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      Effects of a diet based on inulin-rich vegetables on gut health and nutritional behavior in healthy humans

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          ABSTRACT

          Background

          Inulin-type fructans (ITFs) are a type of fermentable dietary fiber that can confer beneficial health effects through changes in the gut microbiota. However, their effect on gut sensitivity and nutritional behavior is a matter of debate.

          Objective

          We evaluated the impact of consuming ITF-rich vegetables daily on gut microbiota, gastro-intestinal symptoms, and food-related behavior in healthy individuals.

          Methods

          A single group-design trial was conducted in 26 healthy individuals. During 2 wk, the participants were instructed to adhere to a controlled diet based on ITF-rich vegetables (providing a mean intake of 15 g ITF/d). Three test days were organized: before and after the nutritional intervention and 3 wk after returning to their usual diet. We assessed nutrient intake, food-related behavior, fecal microbiota composition, microbial fermentation, and gastrointestinal symptoms.

          Results

          The major microbial modifications during the intervention were an increased proportion of the Bifidobacterium genus, a decreased level of unclassified Clostridiales, and a tendency to decrease Oxalobacteraceae. These changes were reversed 3 wk after the intervention. The volunteers showed greater satiety, a reduced desire to eat sweet, salty, and fatty food, and a trend to increase hedonic attitudes towards some inulin-rich vegetables. Only flatulence episodes were reported during the dietary intervention, whereas intestinal discomfort, inversely associated with Clostridium cluster IV and Ruminococcus callidus, was improved at the end of the intervention.

          Conclusions

          A higher consumption of ITF-rich vegetables allows a substantial increase in well-tolerated dietary fiber, which may in turn improve food-related behavior. Moreover, it leads to beneficial modifications of the gut microbiota composition and function. This trial is registered at clinicaltrial.gov as NCT03540550.

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          Most cited references30

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            mixOmics: An R package for ‘omics feature selection and multiple data integration

            The advent of high throughput technologies has led to a wealth of publicly available ‘omics data coming from different sources, such as transcriptomics, proteomics, metabolomics. Combining such large-scale biological data sets can lead to the discovery of important biological insights, provided that relevant information can be extracted in a holistic manner. Current statistical approaches have been focusing on identifying small subsets of molecules (a ‘molecular signature’) to explain or predict biological conditions, but mainly for a single type of ‘omics. In addition, commonly used methods are univariate and consider each biological feature independently. We introduce mixOmics, an R package dedicated to the multivariate analysis of biological data sets with a specific focus on data exploration, dimension reduction and visualisation. By adopting a systems biology approach, the toolkit provides a wide range of methods that statistically integrate several data sets at once to probe relationships between heterogeneous ‘omics data sets. Our recent methods extend Projection to Latent Structure (PLS) models for discriminant analysis, for data integration across multiple ‘omics data or across independent studies, and for the identification of molecular signatures. We illustrate our latest mixOmics integrative frameworks for the multivariate analyses of ‘omics data available from the package.
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              Ribosomal Database Project: data and tools for high throughput rRNA analysis

              Ribosomal Database Project (RDP; http://rdp.cme.msu.edu/) provides the research community with aligned and annotated rRNA gene sequence data, along with tools to allow researchers to analyze their own rRNA gene sequences in the RDP framework. RDP data and tools are utilized in fields as diverse as human health, microbial ecology, environmental microbiology, nucleic acid chemistry, taxonomy and phylogenetics. In addition to aligned and annotated collections of bacterial and archaeal small subunit rRNA genes, RDP now includes a collection of fungal large subunit rRNA genes. RDP tools, including Classifier and Aligner, have been updated to work with this new fungal collection. The use of high-throughput sequencing to characterize environmental microbial populations has exploded in the past several years, and as sequence technologies have improved, the sizes of environmental datasets have increased. With release 11, RDP is providing an expanded set of tools to facilitate analysis of high-throughput data, including both single-stranded and paired-end reads. In addition, most tools are now available as open source packages for download and local use by researchers with high-volume needs or who would like to develop custom analysis pipelines.
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                Author and article information

                Journal
                Am J Clin Nutr
                Am. J. Clin. Nutr
                ajcn
                The American Journal of Clinical Nutrition
                Oxford University Press
                0002-9165
                1938-3207
                June 2019
                24 April 2019
                24 April 2019
                : 109
                : 6
                : 1683-1695
                Affiliations
                [1 ]Metabolism and Nutrition Research Group, Louvain Drug Research Institute, Université catholique de Louvain, Brussels, Belgium
                [2 ]Gembloux Agro-Bio Tech, Université de Liège, Gembloux, Belgium
                [3 ]Research Institute for Psychological Sciences, Université catholique de Louvain, Louvain-La-Neuve, Belgium
                [4 ]Faculty of Psychological Science, and Education, Université libre de Bruxelles, Belgium
                [5 ]WELBIO—Walloon Excellence in Life Sciences and BIOtechnology, Université catholique de Louvain, Brussels, Belgium
                [6 ]Endocrinology, Diabetology, and Nutrition Department, Institut de Recherche Expérimentale et Clinique IREC, Université catholique de Louvain, Brussels, Belgium
                Author notes
                Address correspondence to NMD (E-mail: nathalie.delzenne@ 123456uclouvain.be ).
                Present address for BK: Université de Kinshasa, Department of Animal Production, Kinshasa-XI, DR Congo.
                Present address for BDP: Centre d'Investigation Clinique en Nutrition, Institute of Neuroscience, Université catholique de Louvain, Louvain-La-Neuve, Belgium.

                SH, LBB, BDP, and GK contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-7529-7975
                http://orcid.org/0000-0002-6215-4756
                http://orcid.org/0000-0003-2040-2448
                Article
                nqz001
                10.1093/ajcn/nqz001
                6537941
                31108510
                2653ce95-d248-4eb1-ae1f-93fffc605dbf
                Copyright © American Society for Nutrition 2019.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 18 June 2018
                : 02 January 2019
                Page count
                Pages: 13
                Funding
                Funded by: Fonds de la Recherche Scientifique 10.13039/501100002661
                Award ID: WELBIO-CGR-2017-C2
                Funded by: European Research Council 10.13039/501100000781
                Award ID: 336452-ENIGMO
                Categories
                Original Research Communications
                International Nutrition

                Nutrition & Dietetics
                inulin-rich vegetables,nutrition,gut health,nutritional behavior,healthy humans,gut microbiota,microbial fermentation

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