Metabolic Profiling of Oxidized Lipid-Derived Volatiles in Blood by Gas Chromatography/Mass Spectrometry with In-Tube Extraction

Kakuta, Shoji; Bando, Yoshio; Nishiumi, Shin; Yoshida, Masaru; Fukusaki, Eiichiro; Bamba, Takeshi

doi:10.5702/massspectrometry.a0018

Cited by 5 publications

(10 citation statements)

References 28 publications

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“…1-Octen-3-ol and ( Z )-2-octen-1-ol were detected in linoleic acid side chain and arachidonic acid side chain-oxidized phosphatidylcholine standards, respectively, and 1-octen-3-one was present in both standards. It indicated that these three VOCs belong to C8 chain substances produced by the oxidation of C18–C20 unsaturated fatty acids, but these three VOCs have not been reported in human studies so far.…”

Section: Resultsmentioning

confidence: 95%

HS–SPME–GC–MS Untargeted Analysis of Normal Rat Organs Ex Vivo: Differential VOC Discrimination and Fingerprint VOC Identification

Liu

Zhou

et al. 2023

Anal. Chem.

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The investigation of volatile organic compounds (VOCs) in human metabolites has been a topic of interest as it holds the potential for the development of non-invasive technologies to screen for organ lesions in vivo. However, it remains unclear whether VOCs differ among healthy organs. Consequently, a study was conducted to analyze VOCs in ex vivo organ tissues obtained from 16 Wistar rats, comprising 12 different organs. The VOCs released from each organ tissue were detected by the headspace-solid phase microextraction-gas chromatography-mass spectrometry technique. In the untargeted analysis of 147 chromatographic peaks, the differential volatiles of rat organs were explored based on the Mann–Whitney U test and fold change (FC > 2.0) compared with other organs. It was found that there were differential VOCs in seven organs. A discussion on the possible metabolic pathways and related biomarkers of organ differential VOCs was conducted. Based on the orthogonal partial least squares discriminant analysis and receiver operating characteristic curve, we found that differential VOCs in the liver, cecum, spleen, and kidney can be used as the unique identification of the corresponding organ. In this study, differential VOCs of organs in rats were systematically reported for the first time. Profiles of VOCs produced by healthy organs can serve as a reference or baseline that may indicate the presence of disease or abnormalities in the organ’s function. Differential VOCs can be used as the fingerprint of organs, and future integration with metabolic research may contribute to the development of healthcare.

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Section: Resultsmentioning

confidence: 95%

HS–SPME–GC–MS Untargeted Analysis of Normal Rat Organs Ex Vivo: Differential VOC Discrimination and Fingerprint VOC Identification

Liu

Zhou

et al. 2023

Anal. Chem.

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“…This technique does not require any solvent or concentration step for volatile analysis. Furthermore, Kakuta et al employed in-tube extraction (ITEX), which provides lower fragility and longer extraction phase lifetimes as well as lower detection limit compared to those of SPME, and demonstrated metabolic profiling of oxidized lipid derived volatiles in blood [107]. However, the current lack of consensus regarding analytical techniques still hampers clinical usefulness of volatile biomarkers.…”

Section: Discussionmentioning

confidence: 99%

Metabolome analysis for discovering biomarkers of gastroenterological cancer

Suzuki

Nishiumi

Matsubara

et al. 2014

Journal of Chromatography B

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Improvements in analytical technologies have made it possible to rapidly determine the concentrations of thousands of metabolites in any biological sample, which has resulted in metabolome analysis being applied to various types of research, such as clinical, cell biology, and plant/food science studies. The metabolome represents all of the end products and by-products of the numerous complex metabolic pathways operating in a biological system. Thus, metabolome analysis allows one to survey the global changes in an organism's metabolic profile and gain a holistic understanding of the changes that occur in organisms during various biological processes, e.g., during disease development. In clinical metabolomic studies, there is a strong possibility that differences in the metabolic profiles of human specimens reflect disease-specific states. Recently, metabolome analysis of biofluids, e.g., blood, urine, or saliva, has been increasingly used for biomarker discovery and disease diagnosis. Mass spectrometry-based techniques have been extensively used for metabolome analysis because they exhibit high selectivity and sensitivity during the identification and quantification of metabolites. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry, and capillary electrophoresis-mass spectrometry. Furthermore, the findings of studies that attempted to discover biomarkers of gastroenterological cancer are also outlined. Finally, we discuss metabolome analysis-based disease diagnosis.

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“…In this combination approach, the solvent extraction step for volatile analysis is not needed. Moreover, the analyzing system for VOCs in blood was constracted usng in-tube extraction (ITEX), which is superior to HS-SPME [ 87 ]. The systems using HS-SPME and ITEX do not need manual metabolite extraction from biological fluids, and so this may be useful for assay optimization.…”

Section: Future Of Metabolomics-based Disease Diagnosismentioning

confidence: 99%

Metabolomics for Biomarker Discovery in Gastroenterological Cancer

et al. 2014

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The study of the omics cascade, which involves comprehensive investigations based on genomics, transcriptomics, proteomics, metabolomics, etc., has developed rapidly and now plays an important role in life science research. Among such analyses, metabolome analysis, in which the concentrations of low molecular weight metabolites are comprehensively analyzed, has rapidly developed along with improvements in analytical technology, and hence, has been applied to a variety of research fields including the clinical, cell biology, and plant/food science fields. The metabolome represents the endpoint of the omics cascade and is also the closest point in the cascade to the phenotype. Moreover, it is affected by variations in not only the expression but also the enzymatic activity of several proteins. Therefore, metabolome analysis can be a useful approach for finding effective diagnostic markers and examining unknown pathological conditions. The number of studies involving metabolome analysis has recently been increasing year-on-year. Here, we describe the findings of studies that used metabolome analysis to attempt to discover biomarker candidates for gastroenterological cancer and discuss metabolome analysis-based disease diagnosis.

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Metabolic Profiling of Oxidized Lipid-Derived Volatiles in Blood by Gas Chromatography/Mass Spectrometry with In-Tube Extraction

Cited by 5 publications

References 28 publications

HS–SPME–GC–MS Untargeted Analysis of Normal Rat Organs Ex Vivo: Differential VOC Discrimination and Fingerprint VOC Identification

HS–SPME–GC–MS Untargeted Analysis of Normal Rat Organs Ex Vivo: Differential VOC Discrimination and Fingerprint VOC Identification

Metabolome analysis for discovering biomarkers of gastroenterological cancer

Metabolomics for Biomarker Discovery in Gastroenterological Cancer

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