The Serum Metabolite Response to Diet Intervention with Probiotic Acidified Milk in Irritable Bowel Syndrome Patients Is Indistinguishable from that of Non-Probiotic Acidified Milk by 1H NMR-Based Metabonomic Analysis

Pedersen, Simon Metz Mariendal; Nielsen, Niels Chr.; Olsson, Jörgen; Simrén, Magnus; Öhman, Lena; Svensson, Ulla; Malmendal, Anders; Bertram, Hanne Christine

doi:10.3390/nu2111141

Cited by 16 publications

(26 citation statements)

References 43 publications

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“…For example, hippurate and N‐phenylacetylglutamine have previously been associated with the consumption of plant based foods, vegetarian diets and green and black tea , and betaine with intakes of citrus fruits and legumes . Elevated concentrations of 3‐Hydroxybutyrate has previously been reported after the consumption of acidified milk products and anserine has been reported in poultry, meats and oily fish . The metabolites found at higher levels in cluster 2, glycylproline, theophylline and N‐acetylglutamate (NAG) have previously been associated with foods found in the current unhealthy pattern.…”

Section: Discussionmentioning

confidence: 99%

Metabolomic‐based identification of clusters that reflect dietary patterns

Gibbons

Carr

McNulty

et al. 2017

Molecular Nutrition Food Res

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(no more than 200 words)1 Scope: Classification of subjects into dietary patterns generally relies on self-reporting 2 dietary data which are prone to error. The aim of the present study was to develop a model 3 for objective classification of people into dietary patterns based on metabolomic data. 4Methods and results: Dietary and urinary metabolomic data from the National Adult 5 Nutrition Survey (NANS) was used in the analysis (n=567). Two-step cluster analysis was 6 applied to the urinary data to identify clusters. The subsequent model was used in an 7 independent cohort to classify people into dietary patterns. Two distinct dietary patterns were 8 identified. Cluster 1 was characterized by significantly higher intakes of breakfast cereals, 9 low fat and skimmed milks, potatoes, fruit and fish, fish dishes (P<0.05) representing a 10 "healthy" cluster. Cluster 2 had significantly higher intakes of chips/processed potatoes, meat 11 products, savory snacks and high-energy beverages (P<0.05) representing an "unhealthy 12 cluster". Classification was supported by significant differences in nutrient status (P<0.05). 13Validation in an independent group revealed that 94% of subjects were correctly classified.

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Section: Discussionmentioning

confidence: 99%

Metabolomic‐based identification of clusters that reflect dietary patterns

Gibbons

Carr

McNulty

et al. 2017

Molecular Nutrition Food Res

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“…1 H‐NMR 6,29‐35 and mass spectroscopy (MS) 5,19,27,33,36‐46 are the main detection techniques available that determine the types of metabolites detected. 1 H‐NMR detects all organic classes, is quantitative, and can be used to identify the molecular structure but is more expensive, has relatively lower sensitivity, requires greater sample volumes and cannot detect inorganic ions or salts.…”

Section: Methodological Approachesmentioning

confidence: 99%

“…Understanding the nature and rigor of bioinformatics applied to the data generated in each study is critical to understanding the validity and implications of the findings, but these details are often not fully reported. Table 1 shows that the predominant method is multivariate analysis (see Worley et al 49 for details), but other bioinformatics approaches have also been used 6,19,27,29‐35,38,40,43‐46,50‐52 …”

Section: Methodological Approachesmentioning

confidence: 99%

Application of metabolomics to the study of irritable bowel syndrome

Bennet

Keshteli

Berčík

et al. 2020

Neurogastroenterology Motil

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Irritable bowel syndrome (IBS) is diagnosed based on symptoms 1 and is the most commonly diagnosed bowel disorder. 2 While this symptom-based approach has the advantage of limiting unnecessary testing 3 compared with a "diagnosis of exclusion" approach, the gastrointestinal tract has a limited symptom repertoire. Consequently, this symptom-based diagnosis captures a large but heterogeneous patient population, with multiple pathophysiological mechanisms underlying symptoms. 4 Using the Rome IV criteria, IBS subgroups are based on the predominant bowel habit, that is, IBS with constipation predominance (IBS-C), with diarrhea predominance (IBS-D), a mix between constipation and diarrhea (IBS-M) and unclassified (IBS-U). This method of classification of IBS is useful for clinical management; however, these subtypes may not reflect underlying pathophysiology. 5 While preclinical models have provided important insights, the complexity of IBS is notoriously difficult to model and mechanistic studies in humans are challenging due to their potentially invasive requirements. Therefore, new approaches are needed that might enable non-invasive studies with sufficient sensitivity and specificity to advance the field. In this issue of the journal, Lee et al focused on IBS-D patients and aimed to characterize fecal metabolite profiles of patients compared with healthy controls as well as to determine if diarrhea in and of itself can impact fecal metabolite composition. 6 This review will focus on the use of metabolomics to study IBS patients highlighting key methodological issues underlying the interpretation of these studies, whether identified molecules provide novel insights into Abstract The pathophysiology of irritable bowel syndrome and the detection of biomarkers of specific mechanisms and/or predictors of therapeutic response remain elusive. This roadblock reflects, in large part, the complexity and heterogeneity of the disorder. Recently, there has been growing evidence of a dietary and/or microbiome interaction with the host that may trigger symptoms in a subset of patients. While a number of techniques are available to examine these potential interactions, "omic" approaches such as metabolomics are becoming more widely used. Metabolomics measures hundreds and potentially thousands of known and unknown small molecule chemicals (metabolites) to provide a unique look into mechanisms that underlie symptom generation and potential predictors of therapeutic response. In this issue of the journal, Lee et al use nuclear magnetic resonance (NMR) to demonstrate the value of this approach to study IBS. This review examines the use of metabolomics to better understand IBS, focusing on what has been learned to date, practical and technical considerations, its potential for future research and how the study by Lee et al have contributed to these concepts. K E Y W O R D S irritable bowel syndrome, mass spectometry, metabolites, metabolomics, microbiota, nuclear magnetic resonance

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“…Furthermore, the effects of a probiotic acidified milk product on the blood serum metabolite profile of patients suffering from irritable bowel syndrome were compared to a nonprobiotic acidified milk product using NMR metabolomics. Both diets resulted in elevated levels of blood serum Llactate and 3-hydroxybutyrate, indicating identical effects of acidified milk consumption independent of probiotic addition [17].…”

Section: Dietary Interventions With Supplementation Of Individual Commentioning

confidence: 98%

Application of Metabolomics to Assess Effects of Controlled Dietary Interventions

Hanhineva

2015

Curr Nutr Rep

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The utilization of metabolomics technologies as part of nutritional investigations has rapidly increased during the last few years. The application of both nuclear magnetic resonance (NMR) and mass spectrometry (MS) based technologies is providing wide information on both the dietderived compounds and their metabolites related to specific foods or diets, as well as aiding the in-depth exploration of the endogenous metabolic phenomena related to different diets. The analytical accuracy nowadays enables examination of metabolite composition of both urine and plasma to very high molecular detail even at low concentrations, and will be focal in gaining wider metabolic understanding of the relationship between eating habits and maintenance of good health.

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The Serum Metabolite Response to Diet Intervention with Probiotic Acidified Milk in Irritable Bowel Syndrome Patients Is Indistinguishable from that of Non-Probiotic Acidified Milk by 1H NMR-Based Metabonomic Analysis

Cited by 16 publications

References 43 publications

Metabolomic‐based identification of clusters that reflect dietary patterns

Metabolomic‐based identification of clusters that reflect dietary patterns

Application of metabolomics to the study of irritable bowel syndrome

Application of Metabolomics to Assess Effects of Controlled Dietary Interventions

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