A GC–MS-based untargeted metabolomics approach for comprehensive metabolic profiling of vancomycin-induced toxicity in mice

Zhu, Li; Wang, Qian; Liu, Ruijuan; Xie, Dadi; Guo, Yujin; Yu, Dingyi; Wang, Changshui; Chen, Dan; Jiang, Pei

doi:10.1016/j.heliyon.2022.e09869

Cited by 6 publications

(4 citation statements)

References 37 publications

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“…Phenotypic correlation analysis showed that most amino acids had a high correlation, such as Lys and Leu, Tyr and Phe. In the study of amino acid metabolism, the results show that the metabolism of most amino acids is interrelated [ 30 ]. For example, Tyr can be synthesized from Phe, and the synthesis of Pro requires the participation of Glu [ 31 – 33 ].…”

Section: Discussionmentioning

confidence: 99%

Genome-wide association analysis explores the genetic loci of amino acid content in duck’s breast muscle

Wang,

Lu,

et al. 2024

BMC Genomics

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Background Amino acids are the basic components of protein and an important index to evaluate meat quality. With the rapid development of genomics, candidate regions and genes affecting amino acid content in livestock and poultry have been gradually revealed. Hence, genome-wide association study (GWAS) can be used to screen candidate loci associated with amino acid content in duck meat. Result In the current study, the content of 16 amino acids was detected in 358 duck breast muscles. The proportion of Glu to the total amino acid content was relatively high, and the proportion was 0.14. However, the proportion of Met content was relatively low, at just 0.03. By comparative analysis, significant differences were found between males and females in 3 amino acids, including Ser, Met, and Phe. In addition, 12 SNPs were significantly correlated with Pro content by GWAS analysis, and these SNPs were annotated by 7 protein-coding genes; 8 significant SNPs were associated with Tyr content, and these SNPs were annotated by 6 protein-coding genes. At the same time, linkage disequilibrium (LD) analysis was performed on these regions with significant signals. The results showed that three SNPs in the 55–56 Mbp region of chromosome 3 were highly correlated with the leader SNP (chr3:55526954) that affected Pro content (r2 > 0.6). Similarly, LD analysis showed that there were three SNPs in the 21.2–21.6 Mbp region of chromosome 13, which were highly correlated with leader SNP (chr13:21421661) (r2 > 0.6). Moreover, Through functional enrichment analysis of all candidate genes. The results of GO enrichment analysis showed that several significant GO items were associated with amino acid transport function, including amino acid transmembrane transport and glutamine transport. The results further indicate that these candidate genes are closely associated with amino acid transport. Among them, key candidate genes include SLC38A1. For KEGG enrichment analysis, CACNA2D3 and CACNA1D genes were covered by significant pathways. Conclusion In this study, GWAS analysis found a total of 28 significant SNPs affecting amino acid content. Through gene annotation, a total of 20 candidate genes were screened. In addition, Through LD analysis and enrichment analysis, we considered that SERAC1, CACNA2D3 and SLC38A1 genes are important candidate genes affecting amino acid content in duck breast muscle.

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Section: Discussionmentioning

confidence: 99%

Genome-wide association analysis explores the genetic loci of amino acid content in duck’s breast muscle

Wang,

Lu,

et al. 2024

BMC Genomics

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“…GC-MS, as a high-throughput metabolomics analysis method, can be used to quantify a large number of metabolites in a single assay [72, 80,81]. This method has obvious advantages in the determination of small metabolites (<400 Da), but it is not reliable in the determination of thermolabile compounds [82][83][84].…”

Section: Mass Spectrometrymentioning

confidence: 99%

Review on analytical technologies and applications in metabolomics

MENG,

LIU,

et al. 2024

BIOCELL

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Over the past decade, the swift advancement of metabolomics can be credited to significant progress in technologies such as mass spectrometry, nuclear magnetic resonance, and multivariate statistics. Currently, metabolomics garners widespread application across diverse fields including drug research and development, early disease detection, toxicology, food and nutrition science, biology, prescription, and chinmedomics, among others.Metabolomics serves as an effective characterization technique, offering insights into physiological process alterations in vivo. These changes may result from various exogenous factors like environmental conditions, stress, medications, as well as endogenous elements including genetic and protein-based influences. The potential scientific outcomes gleaned from these insights have catalyzed the formulation of innovative methods, poised to further broaden the scope of this domain. Today, metabolomics has evolved into a valuable and widely accepted instrument in the life sciences. However, comprehensive reviews focusing on the sample preparation and analytical methodologies employed in metabolomics within the life sciences are surprisingly scant. This review aims to fill that gap, providing an overview of current trends and recent advancements in metabolomics. Particular emphasis is placed on sample preparation, sophisticated analytical techniques, and their applications in life science research.

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“…The metabolites were identified and quantified based on chemical shift and the Biological Magnetic Resonance Data Bank in addition to other literature references (Lee et al, 2022). Data sets were conducted in a multivariate statistical analysis using MetaboAnalyst 5.0 software (Cui et al, 2022). Principal component analysis (PCA) and heatmap correlation were applied to the NMR datasets.…”

Section: Nmr Data Processing and Analysesmentioning

confidence: 99%

NMR-based metabolic analysis of Bacillus velezensis DZ11 applied to low-salt fermented coarse fish involved in the formation of flavor precursors

Zhou

Xiao-yan

et al. 2023

Food Sci. Technol

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Microbial fermentation can be responsible for flavor production and increasing the nutritional quality of fermented fish foods. The study aimed to isolate non-halophilic bacteria possessing proteolysis and lipolysis properties as starter cultures for low-salt content fermentation of coarse fish. The strains with high enzyme activities were screened and multiple growth characteristics were analyzed. The content of amino acid nitrogen and trichloroacetic acid (TCA)-soluble peptides in fermented fish was also investigated under different fermentation conditions. Nuclear magnetic resonance (NMR) metabolomics analysis was utilized to monitor the metabolite profile of fermented fish paste. The isolate was identified as Bacillus velezensis DZ11. The strain DZ11 exhibited obvious hydrolysis properties of lipids and proteins. During the fermentation of fish paste, a total of 40 differential metabolites were identified, of which multiple metabolites changed significantly, including nutrient-related substances and flavor precursors. Salt concentration and strain DZ11 had important effects on the differential metabolites. B. velezensis DZ11 under longer fermentation time promoted the formation of flavor precursors and potentially increased the nutritional substances of low-salt fermented fish.

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A GC–MS-based untargeted metabolomics approach for comprehensive metabolic profiling of vancomycin-induced toxicity in mice

Cited by 6 publications

References 37 publications

Genome-wide association analysis explores the genetic loci of amino acid content in duck’s breast muscle

Genome-wide association analysis explores the genetic loci of amino acid content in duck’s breast muscle

Review on analytical technologies and applications in metabolomics

NMR-based metabolic analysis of Bacillus velezensis DZ11 applied to low-salt fermented coarse fish involved in the formation of flavor precursors

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