Can Gut Microbiota Composition Predict Response to Dietary Treatments?
Dietary intervention is a challenge in clinical practice because of inter-individual variability in clinical response. Gut microbiota is mechanistically relevant for a number of disease states and consequently has been incorporated as a key variable in personalised nutrition models within the resear...
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| Veröffentlicht in: | Nutrients 2019-05, Vol.11 (5), p.1134 |
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| creator | Biesiekierski, Jessica R Jalanka, Jonna Staudacher, Heidi M |
| description | Dietary intervention is a challenge in clinical practice because of inter-individual variability in clinical response. Gut microbiota is mechanistically relevant for a number of disease states and consequently has been incorporated as a key variable in personalised nutrition models within the research context. This paper aims to review the evidence related to the predictive capacity of baseline microbiota for clinical response to dietary intervention in two specific health conditions, namely, obesity and irritable bowel syndrome (IBS). Clinical trials and larger predictive modelling studies were identified and critically evaluated. The findings reveal inconsistent evidence to support baseline microbiota as an accurate predictor of weight loss or glycaemic response in obesity, or as a predictor of symptom improvement in irritable bowel syndrome, in dietary intervention trials. Despite advancement in quantification methodologies, research in this area remains challenging and larger scale studies are needed until personalised nutrition is realistically achievable and can be translated to clinical practice. |
| doi_str_mv | 10.3390/nu11051134 |
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Despite advancement in quantification methodologies, research in this area remains challenging and larger scale studies are needed until personalised nutrition is realistically achievable and can be translated to clinical practice.</description><identifier>ISSN: 2072-6643</identifier><identifier>EISSN: 2072-6643</identifier><identifier>DOI: 10.3390/nu11051134</identifier><identifier>PMID: 31121812</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Animals ; Bacteria - classification ; Bacteria - isolation & purification ; Blood Glucose - analysis ; clinical trials ; Diet ; Gastrointestinal Microbiome - physiology ; glycemic effect ; Humans ; intestinal microorganisms ; irritable bowel syndrome ; Irritable Bowel Syndrome - diet therapy ; Irritable Bowel Syndrome - microbiology ; Mice ; Microbiota ; nutrition ; nutritional intervention ; obesity ; Obesity - diet therapy ; Obesity - microbiology ; Review ; Treatment Outcome ; Weight Loss</subject><ispartof>Nutrients, 2019-05, Vol.11 (5), p.1134</ispartof><rights>2019. 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| subjects | Animals Bacteria - classification Bacteria - isolation & purification Blood Glucose - analysis clinical trials Diet Gastrointestinal Microbiome - physiology glycemic effect Humans intestinal microorganisms irritable bowel syndrome Irritable Bowel Syndrome - diet therapy Irritable Bowel Syndrome - microbiology Mice Microbiota nutrition nutritional intervention obesity Obesity - diet therapy Obesity - microbiology Review Treatment Outcome Weight Loss |
| title | Can Gut Microbiota Composition Predict Response to Dietary Treatments? |
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