Title |
Unlocking the secrets of the microbiome: exploring the dynamic microbial interplay with humans through metabolomics and their manipulation for synthetic biology applications
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Published in |
Biochemical Journal, June 2023
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DOI | 10.1042/bcj20210534 |
Pubmed ID | |
Authors |
Howbeer Muhamadali, Catherine L. Winder, Warwick B. Dunn, Royston Goodacre |
Abstract |
Metabolomics is a powerful research discovery tool with the potential to measure hundreds to low thousands of metabolites. In this review, we discuss the application of GC-MS and LC-MS in discovery-based metabolomics research, we define metabolomics workflows and we highlight considerations that need to be addressed in order to generate robust and reproducible data. We stress that metabolomics is now routinely applied across the biological sciences to study microbiomes from relatively simple microbial systems to their complex interactions within consortia in the host and the environment and highlight this in a range of biological species and mammalian systems including humans. However, challenges do still exist that need to be overcome to maximise the potential for metabolomics to help us understanding biological systems. To demonstrate the potential of the approach we discuss the application of metabolomics in two broad research areas: (1) synthetic biology to increase the production of high-value fine chemicals and reduction in secondary by-products and (2) gut microbial interaction with the human host. While burgeoning in importance, the latter is still in its infancy and will benefit from the development of tools to detangle host-gut-microbial interactions and their impact on human health and diseases. |
X Demographics
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Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 8% |
United Kingdom | 2 | 5% |
India | 1 | 3% |
Germany | 1 | 3% |
Unknown | 31 | 82% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 20 | 53% |
Scientists | 13 | 34% |
Science communicators (journalists, bloggers, editors) | 4 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 19% |
Unspecified | 2 | 13% |
Professor | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Lecturer | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 13% |
Agricultural and Biological Sciences | 2 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 6% |
Immunology and Microbiology | 1 | 6% |
Physics and Astronomy | 1 | 6% |
Other | 1 | 6% |
Unknown | 8 | 50% |