Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge
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{"title"=>"Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge", "type"=>"journal", "authors"=>[{"first_name"=>"Siobhan F.", "last_name"=>"Clarke", "scopus_author_id"=>"37025635000"}, {"first_name"=>"Eileen F.", "last_name"=>"Murphy", "scopus_author_id"=>"13406302700"}, {"first_name"=>"Orla", "last_name"=>"O'Sullivan", "scopus_author_id"=>"8516124200"}, {"first_name"=>"R. Paul", "last_name"=>"Ross", "scopus_author_id"=>"55664948500"}, {"first_name"=>"Paul W.", "last_name"=>"O'Toole", "scopus_author_id"=>"7003586241"}, {"first_name"=>"Fergus", "last_name"=>"Shanahan", "scopus_author_id"=>"7101814806"}, {"first_name"=>"Paul D.", "last_name"=>"Cotter", "scopus_author_id"=>"7006716039"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84878789382", "pmid"=>"23762426", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "scopus"=>"2-s2.0-84878789382", "issn"=>"19326203", "pui"=>"369082079", "doi"=>"10.1371/journal.pone.0065790"}, "id"=>"48a78fd4-63d9-390a-bb02-986e32ad06a5", "abstract"=>"Links between the gut microbiota and host metabolism have provided new perspectives on obesity. We previously showed that the link between the microbiota and fat deposition is age- and time-dependent subject to microbial adaptation to diet over time. We also demonstrated reduced weight gain in diet-induced obese (DIO) mice through manipulation of the gut microbiota with vancomycin or with the bacteriocin-producing probiotic Lactobacillus salivarius UCC118 (Bac(+)), with metabolic improvement achieved in DIO mice in receipt of vancomycin. However, two phases of weight gain were observed with effects most marked early in the intervention phase. Here, we compare the gut microbial populations at the early relative to the late stages of intervention using a high throughput sequencing-based analysis to understand the temporal relationship between the gut microbiota and obesity. This reveals several differences in microbiota composition over the intervening period. Vancomycin dramatically altered the gut microbiota composition, relative to controls, at the early stages of intervention after which time some recovery was evident. It was also revealed that Bac(+) treatment initially resulted in the presence of significantly higher proportions of Peptococcaceae and significantly lower proportions of Rikenellaceae and Porphyromonadaceae relative to the gut microbiota of L. salivarius UCC118 bacteriocin negative (Bac(-)) administered controls. These differences were no longer evident at the later time. The results highlight the resilience of the gut microbiota and suggest that interventions may need to be monitored and continually adjusted to ensure sustained modification of the gut microbiota.", "link"=>"http://www.mendeley.com/research/targeting-microbiota-address-dietinduced-obesity-time-dependent-challenge", "reader_count"=>93, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>2, "Researcher"=>26, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>22, "Student > Postgraduate"=>3, "Student > Master"=>18, "Other"=>3, "Student > Bachelor"=>10, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>2, "Researcher"=>26, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>22, "Student > Postgraduate"=>3, "Student > Master"=>18, "Other"=>3, "Student > Bachelor"=>10, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>8, "Agricultural and Biological Sciences"=>47, "Veterinary Science and Veterinary Medicine"=>1, "Chemistry"=>2, "Economics, Econometrics and Finance"=>1, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>7, "Nursing and Health Professions"=>1, "Medicine and Dentistry"=>17, "Pharmacology, Toxicology and Pharmaceutical Science"=>1, "Sports and Recreations"=>1, "Physics and Astronomy"=>1, "Social Sciences"=>2, "Immunology and Microbiology"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>17}, "Social Sciences"=>{"Social Sciences"=>2}, "Sports and Recreations"=>{"Sports and Recreations"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Unspecified"=>{"Unspecified"=>8}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>1}, "Chemistry"=>{"Chemistry"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>47}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>7}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Netherlands"=>1, "Sweden"=>1, "Belgium"=>1, "United States"=>1, "Ireland"=>1, "India"=>1}, "group_count"=>5}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1077872"], "description"=>"<p>Vancomycin treated diet induced obese mice (purple) cluster away from other groups at both time points, however the distance between these mice and other treatment groups at week 8 is less than at week 2. Data sets: purple vancomycin, blue lean, red DIO, green Bac<sup>+</sup> and orange Bac<sup>-</sup>.</p>", "links"=>[], "tags"=>["Evolutionary biology", "Evolutionary systematics", "phylogenetics", "genomics", "microbiology", "Model organisms", "Animal models", "mouse", "Gastroenterology and hepatology", "nutrition", "obesity", "unweighted", "unifrac", "reveals", "temporal"], "article_id"=>714270, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Siobhan F. Clarke", "Eileen F. Murphy", "Orla O’Sullivan", "R. Paul Ross", "Paul W. O’Toole", "Fergus Shanahan", "Paul D. Cotter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065790.g006", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_coordinate_analysis_of_unweighted_unifrac_reveals_temporal_shift_/714270", "title"=>"Principal coordinate analysis of unweighted unifrac reveals temporal shift.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-07 01:11:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/1077867"], "description"=>"<p>Family level microbial distribution in all data sets at intervention week 2 and week 8. The pie charts represent total percentage read number for the corresponding colour coded family (<i>n</i> = 9–10 per group).</p>", "links"=>[], "tags"=>["Evolutionary biology", "Evolutionary systematics", "phylogenetics", "genomics", "microbiology", "Model organisms", "Animal models", "mouse", "Gastroenterology and hepatology", "nutrition", "obesity"], "article_id"=>714266, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Siobhan F. Clarke", "Eileen F. Murphy", "Orla O’Sullivan", "R. Paul Ross", "Paul W. O’Toole", "Fergus Shanahan", "Paul D. Cotter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065790.g004", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Microbial_distribution_at_family_level_/714266", "title"=>"Microbial distribution at family level.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-07 01:11:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/1077862"], "description"=>"<p>(A) Bac<sup>+</sup> intervention, when compared to Bac<sup>-</sup> intervention, causes a significant reduction in weight gain in diet induced obese mice at weeks 2–4 (early intervention period) but this does not persist with time. (B) Vancomycin treatment results in a two phase reduction in weight gain in diet induced obese mice. In phase one (early; weeks 1–4) a significant reduction in weight gain relative to the initial start weight is observed. In the second phase, diet induced obese mice receiving vancomycin gain weight relative to the initial start weight but weight change continues to be significantly less than that in diet induced obese controls. Data represented as mean SEM n = 9–10 *p<0.05.</p>", "links"=>[], "tags"=>["Evolutionary biology", "Evolutionary systematics", "phylogenetics", "genomics", "microbiology", "Model organisms", "Animal models", "mouse", "Gastroenterology and hepatology", "nutrition", "obesity"], "article_id"=>714261, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Siobhan F. Clarke", "Eileen F. Murphy", "Orla O’Sullivan", "R. Paul Ross", "Paul W. O’Toole", "Fergus Shanahan", "Paul D. Cotter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065790.g001", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Delta_weight_gain_over_the_eight_week_intervention_period_/714261", "title"=>"Delta weight gain over the eight week intervention period.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-07 01:11:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/1077870"], "description"=>"<p>Quantitative PCR reveals that the changes occurring are qualitative not quantitative as no significant difference is observed between time points. Total bacterial numbers calculated as copies of 16 S rRNA/g wet stool. Statistical significant difference between treatment groups is denoted by ***. p value based on kruskal wallis analysis with statistical significant determined as p≤0.05. Error bars represent the standard error of the mean.</p>", "links"=>[], "tags"=>["Evolutionary biology", "Evolutionary systematics", "phylogenetics", "genomics", "microbiology", "Model organisms", "Animal models", "mouse", "Gastroenterology and hepatology", "nutrition", "obesity", "bacterial", "observed", "groups"], "article_id"=>714269, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Siobhan F. Clarke", "Eileen F. Murphy", "Orla O’Sullivan", "R. Paul Ross", "Paul W. O’Toole", "Fergus Shanahan", "Paul D. Cotter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065790.g005", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Total_bacterial_number_observed_in_all_treatment_groups_at_both_time_points_/714269", "title"=>"Total bacterial number observed in all treatment groups at both time points.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-07 01:11:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/1077866"], "description"=>"<p>Phylum level microbial distribution in all data sets at intervention week 2 and week 8. The pie charts represent total percentage read number for the corresponding colour coded phylum (<i>n</i> = 9–10 per group).</p>", "links"=>[], "tags"=>["Evolutionary biology", "Evolutionary systematics", "phylogenetics", "genomics", "microbiology", "Model organisms", "Animal models", "mouse", "Gastroenterology and hepatology", "nutrition", "obesity", "phylum"], "article_id"=>714265, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Siobhan F. Clarke", "Eileen F. Murphy", "Orla O’Sullivan", "R. Paul Ross", "Paul W. O’Toole", "Fergus Shanahan", "Paul D. Cotter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065790.g003", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Microbial_distribution_at_phylum_level_/714265", "title"=>"Microbial distribution at phylum level.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-07 01:11:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/1077864"], "description"=>"<p>In a number of instances significant increases in diversity are observed between intervention week 2 and week 8. Statistical significance was determined by kruskal wallis. * Statistical significant difference (p<0.05). Data represented as mean±SEM (n = 9–10).</p>", "links"=>[], "tags"=>["Evolutionary biology", "Evolutionary systematics", "phylogenetics", "genomics", "microbiology", "Model organisms", "Animal models", "mouse", "Gastroenterology and hepatology", "nutrition", "obesity", "microbiota"], "article_id"=>714263, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Siobhan F. Clarke", "Eileen F. Murphy", "Orla O’Sullivan", "R. Paul Ross", "Paul W. O’Toole", "Fergus Shanahan", "Paul D. Cotter"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0065790.g002", "stats"=>{"downloads"=>0, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_945_diversity_of_the_gut_microbiota_within_each_time_point_/714263", "title"=>"α diversity of the gut microbiota within each time point.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-06-07 01:11:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/1077873", "https://ndownloader.figshare.com/files/1077875", "https://ndownloader.figshare.com/files/1077876", "https://ndownloader.figshare.com/files/1077877"], "description"=>"<div><p>Links between the gut microbiota and host metabolism have provided new perspectives on obesity. We previously showed that the link between the microbiota and fat deposition is age- and time-dependent subject to microbial adaptation to diet over time. We also demonstrated reduced weight gain in diet-induced obese (DIO) mice through manipulation of the gut microbiota with vancomycin or with the bacteriocin-producing probiotic <i>Lactobacillus salivarius</i> UCC118 (Bac<sup>+</sup>), with metabolic improvement achieved in DIO mice in receipt of vancomycin. However, two phases of weight gain were observed with effects most marked early in the intervention phase. Here, we compare the gut microbial populations at the early relative to the late stages of intervention using a high throughput sequencing-based analysis to understand the temporal relationship between the gut microbiota and obesity. This reveals several differences in microbiota composition over the intervening period. Vancomycin dramatically altered the gut microbiota composition, relative to controls, at the early stages of intervention after which time some recovery was evident. It was also revealed that Bac<sup>+</sup> treatment initially resulted in the presence of significantly higher proportions of <i>Peptococcaceae</i> and significantly lower proportions of <i>Rikenellaceae</i> and <i>Porphyromonadaceae</i> relative to the gut microbiota of <i>L. salivarius</i> UCC118 bacteriocin negative (Bac<sup>-</sup>) administered controls. These differences were no longer evident at the later time. The results highlight the resilience of the gut microbiota and suggest that interventions may need to be monitored and continually adjusted to ensure sustained modification of the gut microbiota.</p></div>", "links"=>[], "tags"=>["Evolutionary biology", "Evolutionary systematics", "phylogenetics", "genomics", "microbiology", "Model organisms", "Animal models", "mouse", "Gastroenterology and hepatology", "nutrition", "obesity", "microbiota", "diet-induced"], "article_id"=>714271, "categories"=>["Medicine", "Biological Sciences"], "users"=>["Siobhan F. Clarke", "Eileen F. Murphy", "Orla O’Sullivan", "R. Paul Ross", "Paul W. O’Toole", "Fergus Shanahan", "Paul D. Cotter"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0065790.s001", "https://dx.doi.org/10.1371/journal.pone.0065790.s002", "https://dx.doi.org/10.1371/journal.pone.0065790.s003", "https://dx.doi.org/10.1371/journal.pone.0065790.s004"], "stats"=>{"downloads"=>4, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Targeting_the_Microbiota_to_Address_Diet_Induced_Obesity_A_Time_Dependent_Challenge_/714271", "title"=>"Targeting the Microbiota to Address Diet-Induced Obesity: A Time Dependent Challenge", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-06-07 01:11:11"}

PMC Usage Stats | Further Information

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Relative Metric

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