Foodomics in microbiological investigations

Xu, Yong‐Jiang; Wu, Xi

doi:10.1016/j.cofs.2015.05.001

Cited by 11 publications

(5 citation statements)

References 54 publications

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“…Non-targeted metabolomics includes metabolic profiles and metabolic fingerprints (91), while targeted metabolomics is mainly used to analyze key metabolites on specific metabolic pathways, which can be used to investigate the key metabolic alterations caused by specific gene or protein changes. The scope of non-targeted metabolomics is relatively wide, with metabolic fingerprinting focused on comparing changes in metabolite patterns due to changes in internal or external factors (92). Metabolic profiling is focused on studying the differences in related metabolite levels and the effects of corresponding metabolic pathways, which have been applied for the identification of biomarkers in food and for the development of functional food.…”

Section: Metabolomicsmentioning

confidence: 99%

“…GC-MS technology focuses primarily on the analysis of volatile, non-polar and thermally stable compounds with high separation efficiency and excellent reproducibility, allowing it to analyze complex metabolic mixtures, and it is still extremely useful with the introduction of capillary gas chromatography (97). The appearance and application of CE-MS technology is a further supplement and improvement to LC-MS and GC-MS. CE-MS likewise requires minimal sample volume, and simple sample processing, high separation efficiency, while it exhibits excellent reproducibility and high sensitivity, and can be used to analyze highly polar or charged compounds (92). All these different omics techniques each have their own advantages, and combining several metabolomics analysis technologies will yield complementary analysis results.…”

Section: Metabolomicsmentioning

confidence: 99%

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Understanding the Gastrointestinal Protective Effects of Polyphenols using Foodomics-Based Approaches

Zhang

Xue

et al. 2021

Front. Immunol.

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Plant polyphenols are rich sources of natural anti-oxidants and prebiotics. After ingestion, most polyphenols are absorbed in the intestine and interact with the gut microbiota and modulated metabolites produced by bacterial fermentation, such as short-chain fatty acids (SCFAs). Dietary polyphenols immunomodulatory role by regulating intestinal microorganisms, inhibiting the etiology and pathogenesis of various diseases including colon cancer, colorectal cancer, inflammatory bowel disease (IBD) and colitis. Foodomics is a novel high-throughput analysis approach widely applied in food and nutrition studies, incorporating genomics, transcriptomics, proteomics, metabolomics, and integrating multi-omics technologies. In this review, we present an overview of foodomics technologies for identifying active polyphenol components from natural foods, as well as a summary of the gastrointestinal protective effects of polyphenols based on foodomics approaches. Furthermore, we critically assess the limitations in applying foodomics technologies to investigate the protective effect of polyphenols on the gastrointestinal (GI) system. Finally, we outline future directions of foodomics techniques to investigate GI protective effects of polyphenols. Foodomics based on the combination of several analytical platforms and data processing for genomics, transcriptomics, proteomics and metabolomics studies, provides abundant data and a more comprehensive understanding of the interactions between polyphenols and the GI tract at the molecular level. This contribution provides a basis for further exploring the protective mechanisms of polyphenols on the GI system.

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Section: Metabolomicsmentioning

confidence: 99%

Section: Metabolomicsmentioning

confidence: 99%

Understanding the Gastrointestinal Protective Effects of Polyphenols using Foodomics-Based Approaches

Zhang

Xue

et al. 2021

Front. Immunol.

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“…Redrawn from (Ibanez, Valdes, Garcia-Canas et al, 2012) with permission from Elsevier. (Braconi, Bernardini, Millucci and Santucci, 2018) Food science, bioengineering, and medical innovation 2018 (Bayram and Gokirmakli, 2018) Foodomics evaluation of bioactive compounds in foods 2017 (Valdés, Cifuentes and León, 2017) Green Foodomics and bioactive compounds 2017 (Gilbert-López, Mendiola and Ibáñez, 2017) Foodomics imaging by MS and NMR 2016 (Canela, Rodriguez, Baiges, Nadal and Arola, 2016) Foodomics in microbiological investigations 2015 (Xu and Wu, 2015)…”

Section: Discussionmentioning

confidence: 99%

Omics Technology: Foodomics

Álvarez‐Rivera

Toro-Uribe

Ibáñez

et al. 2018

Reference Module in Chemistry, Molecular Sciences and Chemical Engineering

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Foodomics is playing an essential role and is increasingly becoming a relevant multi-omic platform able to deal with traditional and new food challenges such as food safety, quality, traceability and health-diet interaction. In this context, innovative and high-throughput omic studies combined with bioinformatic tools are being developed for rapid identification of pathogens and multi-residue determination of contaminants, for understanding the interaction of bioactive compounds from diet, as well as for guaranteeing authenticity, traceability and quality of food products. This chapter aims to provide the reader with a general overview of the different areas of research covered by Foodomics, through the revision of state-of-the-art research works dealing with the application of the Foodomic approach to different aspects of Food Science including food safety, quality, traceability and health-diet interaction.

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“…Shotgun metagenomic sequencing has recently been used to track in spinach multicontaminated samples Shiga toxinproducing Escherichia coli [26]; it might be also used for ranking risk of detection of antibioresistance genes [27]. As well as genomics, metabolomics through gas chromatography-mass spectrometry [28] and MALDI-TOF mass spectrometry techniques [29] can also be used for bacterial identification in the form of specific metabolite or protein fingerprints [4].…”

Section: Virulence and Hostpathogen Interactionsmentioning

confidence: 99%