Effects of dietary fat profile on gut permeability and microbiota and their relationships with metabolic changes in mice
Objective To distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of n‐3 fatty acids to modify gut variables in the context of diet‐induced metabolic dysfunctions. Methods Mice received control or high‐fat diets...
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Published in: | Obesity (Silver Spring, Md.) Vol. 23; no. 7; pp. 1429 - 1439 |
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Main Authors: | , , , , , , , , , , |
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Language: | English |
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Blackwell Publishing Ltd
01-07-2015
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Abstract | Objective
To distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of n‐3 fatty acids to modify gut variables in the context of diet‐induced metabolic dysfunctions.
Methods
Mice received control or high‐fat diets emphasizing saturated (HFD‐sat), n‐6 (HFD‐n6), or n‐3 (HFD‐n3) fatty acids for 8 weeks. In another cohort, mice that were maintained on HFD‐sat received n‐3‐rich fish oil or resolvin D1 supplementation.
Results
HFD‐sat and HFD‐n6 induced similar weight gain, but only HFD‐sat increased index of insulin resistance (HOMA‐IR), colonic permeability, and mesenteric fat inflammation. Hydrogen sulfide‐producing bacteria were one of the major groups driving the diet‐specific changes in gut microbiome, with the overall microbial profile being associated with changes in body weight, HOMA‐IR, and gut permeability. In mice maintained on HFD‐sat, fish oil and resolvin D1 restored barrier function and reduced inflammation in the colon but were unable to normalize HOMA‐IR.
Conclusions
Different dietary fat profiles led to distinct intestinal and metabolic outcomes that are independent of obesity. Interventions targeting inflammation successfully restored gut health but did not reverse systemic aspects of diet‐induced metabolic dysfunction, implicating separation between gut dysfunctions and disease‐initiating and/or ‐maintaining processes. |
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AbstractList | OBJECTIVETo distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of n-3 fatty acids to modify gut variables in the context of diet-induced metabolic dysfunctions.METHODSMice received control or high-fat diets emphasizing saturated (HFD-sat), n-6 (HFD-n6), or n-3 (HFD-n3) fatty acids for 8 weeks. In another cohort, mice that were maintained on HFD-sat received n-3-rich fish oil or resolvin D1 supplementation.RESULTSHFD-sat and HFD-n6 induced similar weight gain, but only HFD-sat increased index of insulin resistance (HOMA-IR), colonic permeability, and mesenteric fat inflammation. Hydrogen sulfide-producing bacteria were one of the major groups driving the diet-specific changes in gut microbiome, with the overall microbial profile being associated with changes in body weight, HOMA-IR, and gut permeability. In mice maintained on HFD-sat, fish oil and resolvin D1 restored barrier function and reduced inflammation in the colon but were unable to normalize HOMA-IR.CONCLUSIONSDifferent dietary fat profiles led to distinct intestinal and metabolic outcomes that are independent of obesity. Interventions targeting inflammation successfully restored gut health but did not reverse systemic aspects of diet-induced metabolic dysfunction, implicating separation between gut dysfunctions and disease-initiating and/or -maintaining processes. To distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of n-3 fatty acids to modify gut variables in the context of diet-induced metabolic dysfunctions. Mice received control or high-fat diets emphasizing saturated (HFD-sat), n-6 (HFD-n6), or n-3 (HFD-n3) fatty acids for 8 weeks. In another cohort, mice that were maintained on HFD-sat received n-3rich fish oil or resolvin D1 supplementation. HFD-sat and HFD-n6 induced similar weight gain, but only HFD-sat increased index of insulin resistance (HOMA-IR), colonic permeability, and mesenteric fat inflammation. Hydrogen sulfide-producing bacteria were one of the major groups driving the diet-specific changes in gut microbiome, with the overall microbial profile being associated with changes in body weight, HOMA-IR, and gut permeability. In mice maintained on HFD-sat, fish oil and resolvin D1 restored barrier function and reduced inflammation in the colon but were unable to normalize HOMA-IR. Different dietary fat profiles led to distinct intestinal and metabolic outcomes that are independent of obesity. Interventions targeting inflammation successfully restored gut health but did not reverse systemic aspects of diet-induced metabolic dysfunction, implicating separation between gut dysfunctions and disease-initiating and/or -maintaining processes. To distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of n-3 fatty acids to modify gut variables in the context of diet-induced metabolic dysfunctions. Mice received control or high-fat diets emphasizing saturated (HFD-sat), n-6 (HFD-n6), or n-3 (HFD-n3) fatty acids for 8 weeks. In another cohort, mice that were maintained on HFD-sat received n-3-rich fish oil or resolvin D1 supplementation. HFD-sat and HFD-n6 induced similar weight gain, but only HFD-sat increased index of insulin resistance (HOMA-IR), colonic permeability, and mesenteric fat inflammation. Hydrogen sulfide-producing bacteria were one of the major groups driving the diet-specific changes in gut microbiome, with the overall microbial profile being associated with changes in body weight, HOMA-IR, and gut permeability. In mice maintained on HFD-sat, fish oil and resolvin D1 restored barrier function and reduced inflammation in the colon but were unable to normalize HOMA-IR. Different dietary fat profiles led to distinct intestinal and metabolic outcomes that are independent of obesity. Interventions targeting inflammation successfully restored gut health but did not reverse systemic aspects of diet-induced metabolic dysfunction, implicating separation between gut dysfunctions and disease-initiating and/or -maintaining processes. Objective To distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of n‐3 fatty acids to modify gut variables in the context of diet‐induced metabolic dysfunctions. Methods Mice received control or high‐fat diets emphasizing saturated (HFD‐sat), n‐6 (HFD‐n6), or n‐3 (HFD‐n3) fatty acids for 8 weeks. In another cohort, mice that were maintained on HFD‐sat received n‐3‐rich fish oil or resolvin D1 supplementation. Results HFD‐sat and HFD‐n6 induced similar weight gain, but only HFD‐sat increased index of insulin resistance (HOMA‐IR), colonic permeability, and mesenteric fat inflammation. Hydrogen sulfide‐producing bacteria were one of the major groups driving the diet‐specific changes in gut microbiome, with the overall microbial profile being associated with changes in body weight, HOMA‐IR, and gut permeability. In mice maintained on HFD‐sat, fish oil and resolvin D1 restored barrier function and reduced inflammation in the colon but were unable to normalize HOMA‐IR. Conclusions Different dietary fat profiles led to distinct intestinal and metabolic outcomes that are independent of obesity. Interventions targeting inflammation successfully restored gut health but did not reverse systemic aspects of diet‐induced metabolic dysfunction, implicating separation between gut dysfunctions and disease‐initiating and/or ‐maintaining processes. |
Author | Ha, Connie W.Y. Oscarsson, Jan Holmes, Andrew J. Dinudom, Anuwat Storlien, Len H. Caterson, Ian D. Cook, David I. Lam, Yan Y. Hoffmann, Jenny M.A. Hunt, Nicholas H. Mather, Thomas J. |
Author_xml | – sequence: 1 givenname: Yan Y. surname: Lam fullname: Lam, Yan Y. organization: John S McIlhenny Skeletal Muscle Physiology Laboratory – sequence: 2 givenname: Connie W.Y. surname: Ha fullname: Ha, Connie W.Y. organization: School of Molecular Bioscience – sequence: 3 givenname: Jenny M.A. surname: Hoffmann fullname: Hoffmann, Jenny M.A. organization: Department of Molecular and Clinical Medicine, University of Gothenburg – sequence: 4 givenname: Jan surname: Oscarsson fullname: Oscarsson, Jan organization: AstraZeneca R&D – sequence: 5 givenname: Anuwat surname: Dinudom fullname: Dinudom, Anuwat organization: Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney – sequence: 6 givenname: Thomas J. surname: Mather fullname: Mather, Thomas J. organization: Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney – sequence: 7 givenname: David I. surname: Cook fullname: Cook, David I. organization: Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney – sequence: 8 givenname: Nicholas H. surname: Hunt fullname: Hunt, Nicholas H. organization: Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney – sequence: 9 givenname: Ian D. surname: Caterson fullname: Caterson, Ian D. organization: Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney – sequence: 10 givenname: Andrew J. surname: Holmes fullname: Holmes, Andrew J. organization: Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney – sequence: 11 givenname: Len H. surname: Storlien fullname: Storlien, Len H. organization: Boden Institute of Obesity, Nutrition, Exercise & Eating Disorders, University of Sydney |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26053244$$D View this record in MEDLINE/PubMed https://gup.ub.gu.se/publication/220274$$DView record from Swedish Publication Index |
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Copyright | 2015 The Obesity Society 2015 The Obesity Society. Copyright Blackwell Publishing Ltd. Jul 2015 |
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Notes | This study was supported by a Project Grant (#633240) from the National Health and Medical Research Council of Australia. Disclosure JO is an employee of AstraZeneca. Other authors declare no conflict of interest. Funding agencies ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
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References | 2002; 16 2007; 104 2010; 59 2013; 27 2012; 487 2010; 13 2006; 12 2005; 135 2015; 74 2008; 57 2008; 8 2013; 70 1998; 115 2008; 52 2001; 29 2011; 3 2012; 302 2011; 19 2014; 20 2010; 88 2002; 161 2013; 14 2010; 24 2014; 2 2007; 292 2002; 40 2005; 102 2004; 39 2011; 93 2014; 16 2014; 58 2011; 24 2013; 110 2011; 25 2012; 7 1996; 178 2012; 66 2010; 7 26110889 - Obesity (Silver Spring). 2015 Jul;23(7):1329 |
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To distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of... To distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of n-3 fatty... OBJECTIVETo distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of... ObjectiveTo distinguish the effects of dietary fat profile on gut parameters and their relationships with metabolic changes and to determine the capacity of... |
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SubjectTerms | Animals BACTERIA BUTYRATE COLITIS Diet, High-Fat - adverse effects Dietary Fats - metabolism Endocrinology & Metabolism Endocrinology and Diabetes Endokrinologi och diabetes Fatty acids Fatty Acids - metabolism Gastrointestinal Microbiome - drug effects INDUCED OBESITY Inflammation - metabolism INFLAMMATORY BOWEL DISEASES INSULIN-RESISTANCE INTESTINAL PERMEABILITY Intestines - microbiology MECHANISMS Metabolic disorders Mice Mice, Inbred C57BL Nutrition & Dietetics Obesity - metabolism Oils & fats PATHOGENESIS Permeability RATS Weight Gain - drug effects |
Title | Effects of dietary fat profile on gut permeability and microbiota and their relationships with metabolic changes in mice |
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