In recent years, mass spectrometry-based metabolomics has been established as a powerful and versatile technique for studying cellular metabolism by comprehensive analysis of metabolites in the cell. Although there are many scientific reports on the use of metabolomics for the elucidation of mechanism and physiological changes occurring in the cell, there are surprisingly very few reports on its use for the identification of rate-limiting steps in a synthetic biological system that can lead to the actual improvement of the host organism. In this mini review, we discuss different strategies for improving strain performance using metabolomics data and compare the application of metabolomics-driven strain improvement techniques in different host microorganisms. Finally, we highlight several success stories on the use of metabolomics-driven strain improvement strategies, which led to significant bioproductivity improvements.
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http://dx.doi.org/10.3389/fmolb.2022.1057709 | DOI Listing |
J Nat Prod
January 2025
Key Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao 266100, People's Republic of China.
A combined strategy of 2D-NMR-metabolomics-driven substructure tracking with genome mining led to the targeted discovery of 10 nocobactin-type lipopeptides (-) from the Arctic-derived phychrophillic sp. L-016, among which - are new compounds, named nocardimicins S-W. The phenoxazole moiety in -, featuring unique NMR values and correlations, was used as a probe for tracking nocardimicin analogues.
View Article and Find Full Text PDFInt Immunopharmacol
February 2024
Department of Gastroenterology, Suzhou Hospital of Anhui Medical University (Suzhou Municipal Hospital of Anhui Province), No. 616 Bianyangsan Road, Suzhou 234000, Anhui, China. Electronic address:
To predict early remission following anti-integrin therapy (vedolizumab [VDZ]) in patients with moderate-to-severe active ulcerative colitis (UC) using non-invasive biomarkers. The clinical data of a cohort of 33 patients with moderate-to-severe active UC admitted to the Department of Gastroenterology at Suzhou Municipal Hospital between January 2021 and December 2022 were collected. Of these, 9 patients declined VDZ treatment, and 21 received VDZ at doses of 300 mg weeks 0, 2, and 6, each administered within a 30-minute infusion period.
View Article and Find Full Text PDFFront Mol Biosci
November 2022
Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan.
In recent years, mass spectrometry-based metabolomics has been established as a powerful and versatile technique for studying cellular metabolism by comprehensive analysis of metabolites in the cell. Although there are many scientific reports on the use of metabolomics for the elucidation of mechanism and physiological changes occurring in the cell, there are surprisingly very few reports on its use for the identification of rate-limiting steps in a synthetic biological system that can lead to the actual improvement of the host organism. In this mini review, we discuss different strategies for improving strain performance using metabolomics data and compare the application of metabolomics-driven strain improvement techniques in different host microorganisms.
View Article and Find Full Text PDFFront Microbiol
April 2022
Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan.
The concerted effort for bioproduction of higher alcohols and other commodity chemicals has yielded a consortium of metabolic engineering techniques to identify targets to enhance performance of engineered microbial strains. Here, we demonstrate the use of metabolomics as a tool to systematically identify targets for improved production phenotypes in . Gas chromatography/mass spectrometry (GC/MS) and ion-pair LC-MS/MS were performed to investigate metabolic perturbations in various 1-propanol producing strains.
View Article and Find Full Text PDFMol Cell
June 2019
Institute of Molecular Systems Biology, ETH Zurich, Otto-Stern-Weg 3, 8093 Zurich, Switzerland. Electronic address:
Alternative to the conventional search for single-target, single-compound treatments, combination therapies can open entirely new opportunities to fight antibiotic resistance. However, combinatorial complexity prohibits experimental testing of drug combinations on a large scale, and methods to rationally design combination therapies are lagging behind. Here, we developed a combined experimental-computational approach to predict drug-drug interactions using high-throughput metabolomics.
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