Metabolomics analysis revealed metabolic changes in patients with diarrhea-predominant irritable bowel syndrome and metabolic responses to a synbiotic yogurt intervention

Khorasgani, Mohammad Rabbani; Yavarmanesh, Masoud; Mortazavi, Seyed Ali; Adibi, Peyman; Moazzami, Ali A.

doi:10.1007/s00394-018-1855-2

Cited by 31 publications

(28 citation statements)

References 53 publications

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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%

“…The pruning of models using VIP values is common; however, like the R 2 and Q 2 values, the cut‐off used has not been consistent between IBS studies and is often not reported. Of the 17 studies which performed multivariate analysis, for example, PCA or OPLS‐DA using metabolomic data, 6,19,27,29‐33,35,37,38,40,43‐45,51,52 only 6 identified their R 2 and Q 2 6,19,29,31,35,43,44 while 5 presented their VIP cut‐off value which averaged > 1 6,19,35,37,43,44 . Other modeling tools are also available (such as DModX or Hotelling's 35 ) but reporting is not always clear.…”

Section: Methodological Approachesmentioning

confidence: 99%

“…A logical step to minimize heterogeneity is to subtype IBS patients based on the Rome criteria. By implementing 1 H‐NMR spectrometry, several studies were able to discriminate patients with IBS‐D from HC using stool, 6,32,33,50 urine, 35 and serum 35 metabolite profiles (Table 3). Separation between patients and HC was improved when metabolite profiles were integrated with the microbial profiles of subjects, increasing the correct identification of patients with IBS‐D from healthy controls 50 .…”

Section: Analysis Of Ibs Metabolomic Studiesmentioning

confidence: 99%

“…Metabolomics have also been used in probiotic studies to explore mechanistic insights. Three studies examined similar probiotic interventions using strains of Bifidobacterium and Lactobacillus and performed 1 H‐MNR analysis on serum, 31,35 urine, 34,35 and stool 31 samples. Pinto‐Sanchez et al demonstrated a correlation with decreased urine levels of 4‐cresol sulfate and reduced depression, and suggested the dopamine/noradrenaline pathway may play an important role in the effect of B longum 34 .…”

Section: Analysis Of Ibs Metabolomic Studiesmentioning

confidence: 99%

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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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Section: Methodological Approachesmentioning

confidence: 99%

Section: Methodological Approachesmentioning

confidence: 99%