Serum metabolomics analysis and its clinical value in children with asthma

Serum metabolomics analysis and its clinical value in children with asthma | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Serum metabolomics analysis and its clinical value in children with asthma Yuhui Zhang, Lina Xie, Kuo Lu, Te Feng, Yanjun Guo This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6979941/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 12 You are reading this latest preprint version Abstract Purpose: This study aimed to provide new approaches for diagnosing and treating childhood asthma by analyzing serum non-targeted metabolomics data of children with asthma. Methods: 26 children with acute asthma attacks (asthma group) and 20 healthy children (healthy control group) were prospectively enrolled in the study. Metabolomics analysis of serum samples from both groups was performed using ultra-high-performance liquid chromatography/mass spectrometry (UHPLC/MS). Data processing and analysis were performed using Progenesis QI v3.0 software, including Principal Component Analysis (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). Receiver operating characteristic (ROC) curves of significantly differential metabolites were drawn, and the area under the ROC curve Area under curve (AUC) was compared to search for potential biomarkers and metabolic pathways with strong discriminatory ability. The correlations between each differential metabolite and clinical indicators were analyzed. Results: The metabolic profiles of the asthma and healthy control groups differed significantly. A total of 28 differential metabolites were identified, of which eight could be regarded as potential biomarkers. The most relevant metabolic pathways included linoleic acid metabolism, bile acid biosynthesis, phenylalanine metabolism, glycerophospholipid metabolism, and arachidonic acid metabolism, and some metabolites were correlated with inflammatory factors and immune cells. Conclusion: This study revealed the metabolic mechanisms associated with asthma. By regulating the key enzymes and metabolites in the aforementioned metabolic pathways, new ideas for individualized diagnosis and treatment of asthma are provided. Health sciences/Diseases Health sciences/Medical research Health sciences/Pathogenesis Asthma Childhood Metabolomics Liquid Chromatography-Mass Spectrometry (LC-MS) Biomarkers Metabolic pathway Full Text Additional Declarations No competing interests reported. Supplementary Files TableS1.xlsx Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Revision requested 18 May, 2026 Reviews received at journal 09 May, 2026 Reviews received at journal 07 May, 2026 Reviewers agreed at journal 27 Apr, 2026 Reviewers agreed at journal 27 Apr, 2026 Reviews received at journal 08 Jan, 2026 Reviewers agreed at journal 29 Dec, 2025 Reviewers invited by journal 03 Nov, 2025 Editor assigned by journal 22 Jul, 2025 Editor invited by journal 11 Jul, 2025 Submission checks completed at journal 01 Jul, 2025 First submitted to journal 01 Jul, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6979941","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":540278407,"identity":"dc503fb6-7e9d-4999-98be-ceb04784ccb5","order_by":0,"name":"Yuhui Zhang","email":"","orcid":"","institution":"Department of Respiratory Medicine,Children's Hospital Affiliated to Zhengzhou University","correspondingAuthor":false,"prefix":"","firstName":"Yuhui","middleName":"","lastName":"Zhang","suffix":""},{"id":540278408,"identity":"38b5b467-188a-4a04-a3bb-bf9735b3ebdd","order_by":1,"name":"Lina Xie","email":"","orcid":"","institution":"Department of Respiratory Medicine,Children's Hospital Affiliated to Zhengzhou University","correspondingAuthor":false,"prefix":"","firstName":"Lina","middleName":"","lastName":"Xie","suffix":""},{"id":540278409,"identity":"63062c36-7724-4b94-8da3-dad321292edd","order_by":2,"name":"Kuo Lu","email":"","orcid":"","institution":"Department of Respiratory Medicine,Children's Hospital Affiliated to Zhengzhou University","correspondingAuthor":false,"prefix":"","firstName":"Kuo","middleName":"","lastName":"Lu","suffix":""},{"id":540278410,"identity":"1ddeb167-e105-40d7-9956-1f9ceffd288c","order_by":3,"name":"Te Feng","email":"","orcid":"","institution":"Department of Respiratory Medicine,Children's Hospital Affiliated to Zhengzhou University","correspondingAuthor":false,"prefix":"","firstName":"Te","middleName":"","lastName":"Feng","suffix":""},{"id":540278411,"identity":"d9733e47-80a7-4ce5-b2af-887b37406472","order_by":4,"name":"Yanjun Guo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA4UlEQVRIie2RsQrCMBCGA4VMoV2vKO3mfCI4+TAJQqYqgksHB0Gxg3bXt3B0tAQyxd2x4gvo5uBgcFXaujnkm+/j7r+fEIfjD6GxUuUNIaLxtSh5OqtXfKCyu50MegGRQyyNrlciYNhiNynCedIJL0uvwWGtFe9uUXE8GpqKOSVBtubVSlsdbRY1xiLXZ3FoEzCnfbVC5HvLFJUvz8JQgjCqUxKbBZXYa9afiJXXQIG3IsVuw/qkmcK0fTLaJwMdAjea1WaJs4Wt8mmrBK+4P9JZFGR5tfIB+23c4XA4HF95AfewTCc3Z3PUAAAAAElFTkSuQmCC","orcid":"","institution":"Department of Respiratory Medicine,Children's Hospital Affiliated to Zhengzhou University","correspondingAuthor":true,"prefix":"","firstName":"Yanjun","middleName":"","lastName":"Guo","suffix":""}],"badges":[],"createdAt":"2025-06-26 06:08:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6979941/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6979941/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":96241950,"identity":"bbb70752-b44b-44c0-81d2-0ffc3bda50af","added_by":"auto","created_at":"2025-11-19 07:11:47","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":528377,"visible":true,"origin":"","legend":"","description":"","filename":"Mauscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6979941/v1_covered_a782d59e-74c8-4097-9d30-d879c593ae88.pdf"},{"id":95861167,"identity":"f4028972-8e51-4dcf-9c82-7c1a8e8beebf","added_by":"auto","created_at":"2025-11-13 17:54:51","extension":"xlsx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":151290,"visible":true,"origin":"","legend":"","description":"","filename":"TableS1.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-6979941/v1/3ea07d33fcb9b980b7ef1f10.xlsx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Serum metabolomics analysis and its clinical value in children with asthma","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Asthma, Childhood; Metabolomics, Liquid Chromatography-Mass Spectrometry (LC-MS), Biomarkers, Metabolic pathway","lastPublishedDoi":"10.21203/rs.3.rs-6979941/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6979941/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cem\u003e\u003cstrong\u003ePurpose: \u003c/strong\u003e\u003c/em\u003eThis study aimed to provide new approaches for diagnosing and treating childhood asthma by analyzing serum non-targeted metabolomics data of children with asthma.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eMethods: \u003c/strong\u003e\u003c/em\u003e26 children with acute asthma attacks (asthma group) and 20 healthy children (healthy control group) were prospectively enrolled in the study. Metabolomics analysis of serum samples from both groups was performed using ultra-high-performance liquid chromatography/mass spectrometry (UHPLC/MS). Data processing and analysis were performed using Progenesis QI v3.0 software, including Principal Component Analysis (PCA) and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA). Receiver operating characteristic (ROC) curves of significantly differential metabolites were drawn, and the area under the ROC curve Area under curve (AUC) was compared to search for potential biomarkers and metabolic pathways with strong discriminatory ability. The correlations between each differential metabolite and clinical indicators were analyzed.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cstrong\u003eResults:\u003c/strong\u003e\u003c/em\u003e\u003cem\u003e \u003c/em\u003eThe metabolic profiles of the asthma and healthy control groups differed significantly. 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