Literature DB >> 31709683

Exploration of the microbiota and metabolites within body fluids could pinpoint novel disease mechanisms.

Jordi Mayneris-Perxachs1,2, José-Manuel Fernández-Real1,2.   

Abstract

Thanks to the emergence and recent advances in high-throughput sequencing technologies, it is becoming more evident every day that changes in the microbiome composition are linked to a myriad of health conditions. Despite this, the mechanisms of host-microbiota signalling remain largely unknown. The microbiome has an extensive metabolic activity that leads to the generation of a large number of compounds that are likely to influence host health. Therefore, the microbiome-host cross-talk is in part mediated by microbial-derived metabolites. Unlike metagenomics, which only provides information about microbial genes and thus the microbiome functional potential, metabolic phenotyping is well suited to capture their actual metabolic activity. Here, we provide an overview of these approaches and propose an integration of metagenomics, as a microbiome compositional readout, with faecal and plasma/urine metabolomics, as a functional readout, to unravel novel mechanisms linking the microbiome to host health and disease.
© 2019 Federation of European Biochemical Societies.

Keywords:  metabolic phenotyping; metabolomics; metagenomics; microbial metabolites; microbiome; microbiome composition; microbiome functionality

Year:  2019        PMID: 31709683     DOI: 10.1111/febs.15130

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  5 in total

Review 1.  The role of iron in host-microbiota crosstalk and its effects on systemic glucose metabolism.

Authors:  Jordi Mayneris-Perxachs; José María Moreno-Navarrete; José Manuel Fernández-Real
Journal:  Nat Rev Endocrinol       Date:  2022-08-19       Impact factor: 47.564

2.  The Effects of Human Milk Oligosaccharides on Gut Microbiota, Metabolite Profiles and Host Mucosal Response in Patients with Irritable Bowel Syndrome.

Authors:  Cristina Iribarren; Maria K Magnusson; Louise K Vigsnæs; Imran Aziz; Ingvild Dybdrodt Amundsen; Tanja Šuligoj; Nathalie Juge; Piyush Patel; Maria Sapnara; Lea Johnsen; Nikolaj Sørensen; Johanna Sundin; Hans Törnblom; Magnus Simrén; Lena Öhman
Journal:  Nutrients       Date:  2021-10-27       Impact factor: 5.717

3.  Machine learning and semi-targeted lipidomics identify distinct serum lipid signatures in hospitalized COVID-19-positive and COVID-19-negative patients.

Authors:  Helena Castañé; Simona Iftimie; Gerard Baiges-Gaya; Elisabet Rodríguez-Tomàs; Andrea Jiménez-Franco; Ana Felisa López-Azcona; Pedro Garrido; Antoni Castro; Jordi Camps; Jorge Joven
Journal:  Metabolism       Date:  2022-04-02       Impact factor: 13.934

4.  Integrated metagenomics and metabolomics analysis illustrates the systemic impact of the gut microbiota on host metabolism after bariatric surgery.

Authors:  Yeyoung Han; Gihyeon Kim; Eunyong Ahn; Sunhee Jung; Youngae Jung; Yunjae Kim; Eunyoung Ha; Yoonseok Heo; Do Hyun Ryu; Hansoo Park; Geum-Sook Hwang
Journal:  Diabetes Obes Metab       Date:  2022-03-24       Impact factor: 6.408

5.  Plasma Markers of Disrupted Gut Permeability in Severe COVID-19 Patients.

Authors:  Leila B Giron; Harsh Dweep; Xiangfan Yin; Han Wang; Mohammad Damra; Aaron R Goldman; Nicole Gorman; Clovis S Palmer; Hsin-Yao Tang; Maliha W Shaikh; Christopher B Forsyth; Robert A Balk; Netanel F Zilberstein; Qin Liu; Andrew Kossenkov; Ali Keshavarzian; Alan Landay; Mohamed Abdel-Mohsen
Journal:  Front Immunol       Date:  2021-06-09       Impact factor: 7.561

  5 in total

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