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Updated: Feb 11, 2026
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Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
Published on: January 5, 2021
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Mass spectrometry-based metabolomics for tuberculosis meningitis
Peixu Zhang1, Weiguanliu Zhang1, Yue Lang1
1Department of Neurology, First Hospital, Jilin University, Changchun 130021, PR China.
Summary
Tuberculosis meningitis diagnosis is challenging due to limited lab sensitivity. Mass spectrometry-based metabolomics offers a promising approach for improved detection and understanding of this severe disease.
Area of Science:
- Biochemistry
- Microbiology
- Analytical Chemistry
Background:
- Tuberculosis meningitis (TBM) is a severe form of extrapulmonary tuberculosis with high morbidity and mortality.
- Current diagnostic methods for TBM lack sufficient sensitivity, hindering timely and accurate diagnosis.
- Metabolomics, analyzing host and bacterial metabolites, shows potential for clarifying disease mechanisms and improving diagnostics.
Purpose of the Study:
- To summarize the process of mass spectrometry (MS)-based metabolomics.
- To discuss the applications of MS-based metabolomics in diagnosing Mycobacterium tuberculosis (Mtb) and related diseases.
- To describe the current status of TBM metabolomics.
Main Methods:
- Utilizing mass spectrometry (MS) as a primary platform for metabolomic analysis.
- Investigating sets of metabolites from both the host and Mycobacterium tuberculosis (Mtb).
- Summarizing the multi-step processes involved in MS-based metabolomics.
Main Results:
- MS-based metabolomics provides wide metabolite coverage due to high sensitivity.
- This approach is valuable for investigating Mtb and TBM.
- Small methodological variations in MS-based metabolomics can significantly impact results.
Conclusions:
- MS-based metabolomics is a powerful tool for studying TBM.
- Further refinement of MS-based metabolomics methods is crucial for accurate TBM diagnosis.
- This approach holds promise for advancing TBM diagnosis, treatment, and prognostication.
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