Zhifeng Tang, Jianming Yang, Xin Xu, Keda Zhang, Huiling Wang, Xin Luo, Mingliang Fang, Tao Huan* and Xue Li*,
{"title":"呼吸和血液代谢组学:使用SESI-HRMS/MS和UHPLC-ESI-HRMS/MS的比较研究","authors":"Zhifeng Tang, Jianming Yang, Xin Xu, Keda Zhang, Huiling Wang, Xin Luo, Mingliang Fang, Tao Huan* and Xue Li*, ","doi":"10.1021/envhealth.4c0024810.1021/envhealth.4c00248","DOIUrl":null,"url":null,"abstract":"<p >Breath metabolomics enables noninvasive and rapid acquisition of metabolic information by detecting volatile organic compounds (VOCs) in exhaled breath. Secondary electrospray ionization high-resolution tandem mass spectrometry (SESI-HRMS/MS) offers the highest coverage for detecting breath metabolites among current real-time breath analysis techniques. Although it has been generally recognized that metabolites in breath originate from the blood, a molecular-level understanding of the characteristics of metabolites in both breath and blood remains insufficient. In this study, nontargeted analyses of breath and blood samples from 11 healthy volunteers were performed using SESI-HRMS/MS and ultrahigh performance liquid chromatography electrospray ionization high-resolution tandem mass spectrometry (UHPLC-ESI-HRMS/MS), respectively. Tandem mass spectrometry was employed for metabolite annotation. Twenty-six breath-unique metabolites and 73 blood-unique metabolites were identified. Besides, seven metabolites were found in both breath and blood, including 7-oxabicyclo [2.2.1] heptane, levulinic acid, indole, pyroglutamic acid, malic acid, glutamic acid, and histidine. Intriguingly, the correlation of these metabolites between breath and blood was low (<i>r</i> < 0.4 or <i>p</i> > 0.05). Among all the confirmed metabolites, breath metabolites exhibit higher volatility according to their water–gas partition coefficient (log <i>P</i><sub>w/g</sub>) compared to blood metabolites. In addition, gender-derived differences in breath were significantly smaller than blood. In summary, this study indicates that breath metabolites are likely to offer complementary information on blood metabolites. When combined with blood metabolomics, this would be advantageous for the appropriate application of breath metabolomics in life sciences, such as in biomarker discovery.</p>","PeriodicalId":29795,"journal":{"name":"Environment & Health","volume":"3 6","pages":"596–604 596–604"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00248","citationCount":"0","resultStr":"{\"title\":\"Breath and Blood Metabolomics: A Comparative Study Using SESI-HRMS/MS and UHPLC-ESI-HRMS/MS\",\"authors\":\"Zhifeng Tang, Jianming Yang, Xin Xu, Keda Zhang, Huiling Wang, Xin Luo, Mingliang Fang, Tao Huan* and Xue Li*, \",\"doi\":\"10.1021/envhealth.4c0024810.1021/envhealth.4c00248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Breath metabolomics enables noninvasive and rapid acquisition of metabolic information by detecting volatile organic compounds (VOCs) in exhaled breath. Secondary electrospray ionization high-resolution tandem mass spectrometry (SESI-HRMS/MS) offers the highest coverage for detecting breath metabolites among current real-time breath analysis techniques. Although it has been generally recognized that metabolites in breath originate from the blood, a molecular-level understanding of the characteristics of metabolites in both breath and blood remains insufficient. In this study, nontargeted analyses of breath and blood samples from 11 healthy volunteers were performed using SESI-HRMS/MS and ultrahigh performance liquid chromatography electrospray ionization high-resolution tandem mass spectrometry (UHPLC-ESI-HRMS/MS), respectively. Tandem mass spectrometry was employed for metabolite annotation. Twenty-six breath-unique metabolites and 73 blood-unique metabolites were identified. Besides, seven metabolites were found in both breath and blood, including 7-oxabicyclo [2.2.1] heptane, levulinic acid, indole, pyroglutamic acid, malic acid, glutamic acid, and histidine. Intriguingly, the correlation of these metabolites between breath and blood was low (<i>r</i> < 0.4 or <i>p</i> > 0.05). Among all the confirmed metabolites, breath metabolites exhibit higher volatility according to their water–gas partition coefficient (log <i>P</i><sub>w/g</sub>) compared to blood metabolites. In addition, gender-derived differences in breath were significantly smaller than blood. In summary, this study indicates that breath metabolites are likely to offer complementary information on blood metabolites. When combined with blood metabolomics, this would be advantageous for the appropriate application of breath metabolomics in life sciences, such as in biomarker discovery.</p>\",\"PeriodicalId\":29795,\"journal\":{\"name\":\"Environment & Health\",\"volume\":\"3 6\",\"pages\":\"596–604 596–604\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/epdf/10.1021/envhealth.4c00248\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environment & Health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/envhealth.4c00248\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment & Health","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/envhealth.4c00248","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Breath and Blood Metabolomics: A Comparative Study Using SESI-HRMS/MS and UHPLC-ESI-HRMS/MS
Breath metabolomics enables noninvasive and rapid acquisition of metabolic information by detecting volatile organic compounds (VOCs) in exhaled breath. Secondary electrospray ionization high-resolution tandem mass spectrometry (SESI-HRMS/MS) offers the highest coverage for detecting breath metabolites among current real-time breath analysis techniques. Although it has been generally recognized that metabolites in breath originate from the blood, a molecular-level understanding of the characteristics of metabolites in both breath and blood remains insufficient. In this study, nontargeted analyses of breath and blood samples from 11 healthy volunteers were performed using SESI-HRMS/MS and ultrahigh performance liquid chromatography electrospray ionization high-resolution tandem mass spectrometry (UHPLC-ESI-HRMS/MS), respectively. Tandem mass spectrometry was employed for metabolite annotation. Twenty-six breath-unique metabolites and 73 blood-unique metabolites were identified. Besides, seven metabolites were found in both breath and blood, including 7-oxabicyclo [2.2.1] heptane, levulinic acid, indole, pyroglutamic acid, malic acid, glutamic acid, and histidine. Intriguingly, the correlation of these metabolites between breath and blood was low (r < 0.4 or p > 0.05). Among all the confirmed metabolites, breath metabolites exhibit higher volatility according to their water–gas partition coefficient (log Pw/g) compared to blood metabolites. In addition, gender-derived differences in breath were significantly smaller than blood. In summary, this study indicates that breath metabolites are likely to offer complementary information on blood metabolites. When combined with blood metabolomics, this would be advantageous for the appropriate application of breath metabolomics in life sciences, such as in biomarker discovery.
期刊介绍:
Environment & Health a peer-reviewed open access journal is committed to exploring the relationship between the environment and human health.As a premier journal for multidisciplinary research Environment & Health reports the health consequences for individuals and communities of changing and hazardous environmental factors. In supporting the UN Sustainable Development Goals the journal aims to help formulate policies to create a healthier world.Topics of interest include but are not limited to:Air water and soil pollutionExposomicsEnvironmental epidemiologyInnovative analytical methodology and instrumentation (multi-omics non-target analysis effect-directed analysis high-throughput screening etc.)Environmental toxicology (endocrine disrupting effect neurotoxicity alternative toxicology computational toxicology epigenetic toxicology etc.)Environmental microbiology pathogen and environmental transmission mechanisms of diseasesEnvironmental modeling bioinformatics and artificial intelligenceEmerging contaminants (including plastics engineered nanomaterials etc.)Climate change and related health effectHealth impacts of energy evolution and carbon neutralizationFood and drinking water safetyOccupational exposure and medicineInnovations in environmental technologies for better healthPolicies and international relations concerned with environmental health