Cross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals

Cross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals | 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 Research Cross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals Maxime Deraspe, Charles Burdet, Juan Manuel Dominguez, François Laviolette, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-131502/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: With the advent of metagenomics, many large studies have been conducted with the quest of better understanding gut microbiota changes in relation to varying health conditions. Significant findings have been made for diseases such as cirrhosis, colorectal cancers, inflammatory bowel diseases and others, yet one that stands out is obesity for which conflicting results have been reported in the literature. Methods: Here, we built and analyzed a cross-study dataset of healthy and obese individuals looking for major changes in the the taxonomic and functional composition of their metagenomes. Results: Our results suggest that the overweight and normal subjects have no strong dissimilarity in their metagenomes composition. Significant differences were observed when comparing the obese and the non-obese individuals in their functional and taxonomic profiles. Conclusion: In this study, we report the most significant changes that we observed and discuss their potential implication in the obesity condition. General Microbiology metagenomics gut microbiota obesity Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Full Text Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the latest manuscript can be downloaded and accessed as a PDF. Supplementary Files metaobesedata.xlsx Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-131502","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":6732593,"identity":"27458476-8a1d-4242-9d60-3db523cbae13","order_by":0,"name":"Maxime Deraspe","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0002-9094-0500","institution":"Universite Laval","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Maxime","middleName":"","lastName":"Deraspe","suffix":""},{"id":6732594,"identity":"1bca0402-83ce-4857-866f-4bfce4f435f2","order_by":1,"name":"Charles Burdet","email":"","orcid":"","institution":"Université de Paris","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Charles","middleName":"","lastName":"Burdet","suffix":""},{"id":6732595,"identity":"53289ce9-3547-410d-9d0c-34a2724312ff","order_by":2,"name":"Juan Manuel Dominguez","email":"","orcid":"","institution":"Unversité Laval","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Juan","middleName":"Manuel","lastName":"Dominguez","suffix":""},{"id":6732596,"identity":"2006c791-536c-4efc-9df2-2120fe93b9a9","order_by":3,"name":"François Laviolette","email":"","orcid":"","institution":"Université Laval","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"François","middleName":"","lastName":"Laviolette","suffix":""},{"id":6732597,"identity":"97762312-40da-482c-aa8b-102d93133ea6","order_by":4,"name":"Paul H Roy","email":"","orcid":"","institution":"Université Laval","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Paul","middleName":"H","lastName":"Roy","suffix":""},{"id":6732598,"identity":"e5f6fba1-3cec-4ed2-b302-10e0a5d66dea","order_by":5,"name":"Jacques Corbeil","email":"","orcid":"","institution":"Université Laval","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jacques","middleName":"","lastName":"Corbeil","suffix":""}],"badges":[],"createdAt":"2020-12-18 13:06:03","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-131502/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-131502/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":4430055,"identity":"d9d56f7e-aee7-4fa6-b5a1-c50868ad8170","added_by":"auto","created_at":"2020-12-21 23:28:13","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":622783,"visible":true,"origin":"","legend":"Heatmap and hierarchical clustering of the metagenome based on their shared DNA content (k-mers of length 31). Red color indicate close similarity between metagenome as blue color indicate more dissimilarity. BMI groups are indicated by a right triangle in the upper portion of the figure and country of the individuals on the left side by upper triangles.\n","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-131502/v1/e027c0ccb27c3c74f5ab88f5.png"},{"id":4430057,"identity":"dd0e6275-b2a1-4ef9-81f8-f16d8814a712","added_by":"auto","created_at":"2020-12-21 23:28:13","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":177625,"visible":true,"origin":"","legend":"Bacteria cladogram of the gut metagenomics data found in 640 individuals down at the family taxonomic rank. Red bars indicate higher relative abundance of the taxa in obese individuals, while blue bars indicate higher representation in normal individuals. Stars indicate that the relative abundance was significantly different in both cohorts.\n","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-131502/v1/e8b3f998920b5b5435572a06.png"},{"id":4429957,"identity":"7ccd864e-3a42-44b9-8ca6-04d9b06f4cc6","added_by":"auto","created_at":"2020-12-21 23:25:13","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":258589,"visible":true,"origin":"","legend":"The top 4 most abundant phyla with significant changes in obese and non-obese gut microbiota.\n","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-131502/v1/2a04a02a29cac42b14102de2.png"},{"id":4430154,"identity":"2381940f-90f0-4765-bd4c-234d43406933","added_by":"auto","created_at":"2020-12-21 23:31:13","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":489257,"visible":true,"origin":"","legend":"The top 9 most abundant families with significant changes in obese and non-obese gut microbiota.","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-131502/v1/6a0530f61dc066f8be634ed7.png"},{"id":4430058,"identity":"f6f937ec-ebc4-4756-ae68-1635d0b77538","added_by":"auto","created_at":"2020-12-21 23:28:13","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":646213,"visible":true,"origin":"","legend":"The top 20 KEGG pathways which show the most significant changes in abundances in obese and non-obese gut microbiota.\n","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-131502/v1/a16276cf8e795f88be340ecd.png"},{"id":13638834,"identity":"39a7b415-da56-48b0-8dbf-29430a269ed5","added_by":"auto","created_at":"2021-09-17 08:52:30","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2089048,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-131502/v1/fb40a18a-a8d0-482a-a5d0-1de8f3abe4a6.pdf"},{"id":4429961,"identity":"270647ec-1928-4074-8ad7-a893e5cc88c1","added_by":"auto","created_at":"2020-12-21 23:25:13","extension":"xlsx","order_by":4,"title":"","display":"","copyAsset":false,"role":"supplement","size":1823945,"visible":true,"origin":"","legend":"","description":"","filename":"metaobesedata.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-131502/v1/2ca182de520b6d9c06184947.xlsx"}],"financialInterests":"","formattedTitle":"\u003cp\u003eCross-Study Analyses of Gut Microbiomes from Healthy and Obese Individuals\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the latest manuscript can be downloaded and \u003ca href='/article/rs-131502/latest.pdf' target='_blank'\u003e accessed as a PDF.\u003c/a\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"metagenomics, gut microbiota, obesity","lastPublishedDoi":"10.21203/rs.3.rs-131502/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-131502/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground:\u003c/strong\u003e With the advent of metagenomics, many large studies have been conducted with the quest of better understanding gut microbiota changes in relation to varying health conditions. Significant findings have been made for diseases such as cirrhosis, colorectal cancers, inflammatory bowel diseases and others, yet one that stands out is obesity for which conflicting results have been reported in the literature. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003e Here, we built and analyzed a cross-study dataset of healthy and obese individuals looking for major changes in the the taxonomic and functional composition of their metagenomes. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e Our results suggest that the overweight and normal subjects have no strong dissimilarity in their metagenomes composition. 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