A strategy for the targeted metabolomics analysis of 11 gut microbiota-host co-metabolites in rat serum, urine and feces by ultra high performance liquid chromatography–tandem mass spectrometry

Hou, Wei; Zhong, Danmin; Zhang, Peiting; Li, Yemeng; Lin, Manna; Liu, Guanghui; Yao, Meicun; Liao, Qiongfeng; Xie, Zenghong

doi:10.1016/j.chroma.2015.12.031

Cited by 35 publications

(11 citation statements)

References 56 publications

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“…'Precision Metagenomics' is a pipeline that leverages sequencing and bioinformatics to profile microbes in a sample, identify antimicrobial resistance markers and perform functional analysis to detect pathways that are enriched in a sample [271]. Recent effort in metabolomics analysis of gut microflora adds a vast volume of metabolomics data that have to be integrated with metagenomics, metatranscriptomics and, eventually, clinical data [55,70,[272][273][274][275][276][277][278]. This data integration would require the development of specialized bioinformatics pipelines capable of integrating data from multiple omics platform and incorporating data from large medical databases [279].…”

Section: Precision Metagenomics and Meta-metabolomics In Precision Mementioning

confidence: 99%

Metabolomics technology and bioinformatics for precision medicine

Azad¹,

Shulaev²

2018

Briefings in Bioinformatics

127

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Precision medicine is rapidly emerging as a strategy to tailor medical treatment to a small group or even individual patients based on their genetics, environment and lifestyle. Precision medicine relies heavily on developments in systems biology and omics disciplines, including metabolomics. Combination of metabolomics with sophisticated bioinformatics analysis and mathematical modeling has an extreme power to provide a metabolic snapshot of the patient over the course of disease and treatment or classifying patients into subpopulations and subgroups requiring individual medical treatment. Although a powerful approach, metabolomics have certain limitations in technology and bioinformatics. We will review various aspects of metabolomics technology and bioinformatics, from data generation, bioinformatics analysis, data fusion and mathematical modeling to data management, in the context of precision medicine.

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Section: Precision Metagenomics and Meta-metabolomics In Precision Mementioning

confidence: 99%

Metabolomics technology and bioinformatics for precision medicine

Azad¹,

Shulaev²

2018

Briefings in Bioinformatics

127

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“…Metabolomic analysis of fecal samples has revealed calprotectin or lactoferrin as valuable biomarkers for early detection of inflammatory bowel diseases [24,25]. NMR spectroscopy [26][27][28][29], GC-MS [30][31][32] and LC-MS [33][34][35] have been used to find biomarkers of intestinal diseases in stool material from human and rodents. The use of metabolomics in the study of bowel diseases was recently reviewed [23,36].…”

mentioning

confidence: 99%

Sample preparation optimization in fecal metabolic profiling

Deda

Chatziioannou

Fasoula

et al. 2017

Journal of Chromatography B

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“…In gut microbiota-involved metabolism, 5 metabolites were perturbed: the relative levels of phenylacetylglulamine and phenylacetylglycine were increased by 13% and 15%, respectively; while tartrate, benzoate and dimethylamine (DMA) were decreased by 25%, 31% and 59%, respectively. Using a targeted metabolomics analysis, phenylacetylglutamine was identifi ed as a key gut microbiota-host co-metabolite in rat [Hou et al, 2016]. By analyzing metabolite association with 16S gut microbiome profi les, Barrios et al [2015] found that 52 Operational Taxonomic Units (OTUs) were signifi cantly associated with phenylacetylglutamine, and these microbial members belong to the order Clostridiales.…”

Section: Perturbed Metabolic Pathway Analysismentioning

confidence: 99%

1H NMR-Based Metabolic Profiling of Urine from Mice Fed Lentinula edodes-Derived Polysaccharides

Xu¹,

Yang²,

Zheng-xiang³

et al. 2018

Pol. J. Food Nutr. Sci.

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of the most important components responsible for the bioactivities of L. edodes. In our previous studies, a new type of heteropolysaccharide, named L2, was obtained from the fruit body of L. edodes with an average molecular weight of 26 KDa but without triple-helix conformation [Xu et al., 2012]. In vitro, L2 increased the production of nitric oxide, tumor necrosis factor α, and interleukin 6 of RAW 264.7 cells in a wide range of pH circumstances with the involvement of toll-like receptor 2 [Xu et al., 2012]. Further studies demonstrated that L2 still exhibited immunostimulating activity by altering the spatial structure of gut microbiota and differentially affecting gene as well as protein expressions in adult mice [Xu & Zhang, 2015; Xu et al., 2015a; Xu et al., 2016]. Moreover, L2 displayed anti-aging activity by restoring the age-attenuated immune responses and partly reversing the age-related composition of gut microbiota [Xu et al., 2015b]. In order to better understand the acting mechanism of L2 and to further mine new functions of L2, NMR-based metabolomics approach was employed to investigate the urine metabolic profi les of the adult mice with L2 intervention. MATERIAL AND METHODS Animal protocols and materials The detail processes of animal experiments were described in our previous report [Xu & Zhang, 2015]. Briefl y, fourteen 8-week specifi c pathogen-free male C57BL/6 mice were divided into the normal group (n=7) and the L2-treated group (n=6), respectively. Gavage administration of L2 (40 mg/kg

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A strategy for the targeted metabolomics analysis of 11 gut microbiota-host co-metabolites in rat serum, urine and feces by ultra high performance liquid chromatography–tandem mass spectrometry

Cited by 35 publications

References 56 publications

Metabolomics technology and bioinformatics for precision medicine

Metabolomics technology and bioinformatics for precision medicine

Sample preparation optimization in fecal metabolic profiling

1H NMR-Based Metabolic Profiling of Urine from Mice Fed Lentinula edodes-Derived Polysaccharides

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