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Updated: Jul 30, 2025
A Tandem Liquid Chromatography–Mass Spectrometry-based Approach for Metabolite Analysis of Staphylococcus aureus
Published on: March 28, 2017
Comparison of freeze-thaw and sonication cycle-based methods for extracting AMR-associated metabolites from
Rita Singh1,2, Lovnish Thakur1,2, Ashok Kumar1
1Translational Health Science and Technology Institute, NCR Biotech Science Cluster, Faridabad, India.
Abstract:
Emerging antimicrobial resistance (AMR) among Gram-positive pathogens, specifically in Staphylococcus aureus (S. aureus), is becoming a leading public health concern demanding effective therapeutics. Metabolite modulation can improve the efficacy of existing antibiotics and facilitate the development of effective therapeutics. However, it remained unexplored for drug-resistant S. aureus (gentamicin and methicillin-resistant), primarily due to the dearth of optimal metabolite extraction protocols including a protocol for AMR-associated metabolites. Therefore, in this investigation, we have compared the performance of the two most widely used methods, i.e., freeze-thaw cycle (FTC) and sonication cycle (SC), alone and in combination (FTC + SC), and identified the optimal method for this purpose. A total of 116, 119, and 99 metabolites were identified using the FTC, SC, and FTC + SC methods, respectively, leading to the identification of 163 metabolites cumulatively. Out of 163, 69 metabolites were found to be associated with AMR in published literature consisting of the highest number of metabolites identified by FTC (57) followed by SC (54) and FTC + SC (40). Thus, the performances of FTC and SC methods were comparable with no additional benefits of combining both. Moreover, each method showed biasness toward specific metabolite(s) or class of metabolites, suggesting that the choice of metabolite extraction method shall be decided based on the metabolites of interest in the investigation.
Insights
Comparing metabolite extraction methods for antimicrobial resistance (AMR) in Staphylococcus aureus, this study found freeze-thaw cycle (FTC) and sonication cycle (SC) performed comparably. Neither method offered additional benefits when combined, highlighting the need to select extraction techniques based on specific metabolite interests.
Area of Science:
- Microbiology
- Metabolomics
- Drug Discovery
Background:
- Antimicrobial resistance (AMR) in Staphylococcus aureus is a growing public health threat.
- Metabolite modulation offers a promising strategy for developing new therapeutics against resistant pathogens.
- Optimal metabolite extraction protocols are needed for studying AMR-associated metabolites in drug-resistant S. aureus.
Purpose of the Study:
- To compare the efficacy of freeze-thaw cycle (FTC) and sonication cycle (SC) methods for metabolite extraction from drug-resistant S. aureus.
- To identify the optimal metabolite extraction protocol for identifying AMR-associated metabolites.
- To determine if combining FTC and SC enhances metabolite identification.
Main Methods:
- Comparison of metabolite extraction using freeze-thaw cycle (FTC) alone, sonication cycle (SC) alone, and a combination (FTC + SC).
- Identification and quantification of extracted metabolites using mass spectrometry.
- Literature review to identify AMR-associated metabolites among the identified compounds.
Main Results:
- FTC identified 116 metabolites, SC identified 119, and FTC + SC identified 99. A cumulative total of 163 unique metabolites were identified.
- Of the 163 metabolites, 69 were previously associated with AMR.
- FTC and SC methods demonstrated comparable performance, with no significant advantage in combining them. Each method exhibited bias towards specific metabolite classes.
Conclusions:
- Both FTC and SC are effective for metabolite extraction from drug-resistant S. aureus, with comparable performance.
- The choice of metabolite extraction method should be guided by the specific metabolites or metabolite classes of interest in AMR research.
- Further optimization of extraction protocols may be necessary to capture a broader range of AMR-associated metabolites.
