Maternal obesity increases the risk for hepatocellular carcinoma in offspring through the transmission of an altered gut microbiome

Objective: The obesity pandemic leads to a rising number of obese women of reproductive age. Emerging evidence suggests that maternal obesity has a negative impact on the long-term health of offspring. Additionally, obesity is an independent risk factor for malignancies, particularly hepatocellular carcinoma (HCC). The aim of our study is to investigate the impact of maternal obesity on the risk for HCC in the offspring and identify potential mechanisms of transmission. Methods: Female mice were fed either a high fat (HFD) or a normal diet (ND) before mating. Offspring received ND throughout life. In the offspring, we studied the gut microbiome, liver histology, inflammatory patterns, and tumor load in a diethylnitrosamine-induced HCC mouse model. To normalize the gut microbiome, we co-housed offspring of HFD and ND mothers after weaning. The composition of the gut microbiota was assessed through 16S rRNA sequencing.

Organizational unit: Transplantation and Hepatology Laboratory

Type: Dataset

DOI: 10.26037/yareta:ef2h6hlu5zc3zhw6fiuywsj54m

Identical to the following DOI

License: Creative Commons Attribution 4.0 International

Publication date

11/01/2024

Retention date08/01/2034

Access levelPublic

SensitivityBlue

Contract on the use of data

License

Contributors

TOSO, Christian

Files

Readme

Quality (0 Reviews)
Usefulness (0 Reviews)

    
      <?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<datacite:resource xmlns:premis="http://www.loc.gov/premis/v3" xmlns:mets="http://www.loc.gov/METS/" xmlns:datacite="http://datacite.org/schema/kernel-4" xmlns:dlcm="http://www.dlcm.ch/dlcm/v2" xmlns:fits="http://hul.harvard.edu/ois/xml/ns/fits/fits_output" xmlns:xlink="http://www.w3.org/1999/xlink">
    <datacite:identifier identifierType="DOI">10.26037/yareta:ef2h6hlu5zc3zhw6fiuywsj54m</datacite:identifier>
    <datacite:creators>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">Moeckli, Beat</datacite:creatorName>
            <datacite:givenName>Beat</datacite:givenName>
            <datacite:familyName>Moeckli</datacite:familyName>
            <datacite:nameIdentifier xsi:type="datacite:nameIdentifier" nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">0000-0002-9020-8416</datacite:nameIdentifier>
        </datacite:creator>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">TOSO, Christian</datacite:creatorName>
            <datacite:givenName>Christian</datacite:givenName>
            <datacite:familyName>TOSO</datacite:familyName>
        </datacite:creator>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">El Hajji, Sofia</datacite:creatorName>
            <datacite:givenName>Sofia</datacite:givenName>
            <datacite:familyName>El Hajji</datacite:familyName>
            <datacite:nameIdentifier xsi:type="datacite:nameIdentifier" nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">0000-0002-3028-6148</datacite:nameIdentifier>
        </datacite:creator>
        <datacite:creator>
            <datacite:creatorName nameType="Personal">Lacotte, Stéphanie</datacite:creatorName>
            <datacite:givenName>Stéphanie</datacite:givenName>
            <datacite:familyName>Lacotte</datacite:familyName>
            <datacite:nameIdentifier xsi:type="datacite:nameIdentifier" nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">0000-0002-5921-6389</datacite:nameIdentifier>
        </datacite:creator>
    </datacite:creators>
    <datacite:titles>
        <datacite:title>Maternal obesity increases the risk for hepatocellular carcinoma in offspring through the transmission of an altered gut microbiome</datacite:title>
    </datacite:titles>
    <datacite:publisher>Université de Genève, Yareta</datacite:publisher>
    <datacite:publicationYear>2024</datacite:publicationYear>
    <datacite:resourceType resourceTypeGeneral="Dataset">Dataset</datacite:resourceType>
    <datacite:contributors>
        <datacite:contributor contributorType="ResearchGroup">
            <datacite:contributorName nameType="Organizational">[22639399-279e-4c4b-9fd8-7d009db8ced5] Transplantation and Hepatology Laboratory</datacite:contributorName>
            <datacite:affiliation xsi:type="datacite:affiliation" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">[UNIGE-Medecine] Université de Genève - Faculté de Médecine</datacite:affiliation>
            <datacite:affiliation xsi:type="datacite:affiliation" affiliationIdentifier="https://ror.org/01swzsf04" affiliationIdentifierScheme="ROR" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">[UNIGE] Université de Genève</datacite:affiliation>
        </datacite:contributor>
        <datacite:contributor contributorType="ProjectManager">
            <datacite:contributorName nameType="Personal">Lacotte, Stéphanie</datacite:contributorName>
        </datacite:contributor>
    </datacite:contributors>
    <datacite:dates>
        <datacite:date dateType="Issued">2024-01-11T00:00:00Z</datacite:date>
        <datacite:date dateType="Collected">2018-01-01T01:00:00Z/2023-12-31T01:00:00Z</datacite:date>
        <datacite:date dateType="Created">2024-01-11T16:40:10.127854Z</datacite:date>
        <datacite:date dateType="Updated">2025-09-29T10:26:30.570756Z</datacite:date>
        <datacite:date dateType="Accepted">2025-09-29T10:26:30.181165231Z</datacite:date>
    </datacite:dates>
    <datacite:alternateIdentifiers>
        <datacite:alternateIdentifier alternateIdentifierType="ARK">ark:/64642/rt9ef2h6hlu5zc3zhw6fiuywsj54m</datacite:alternateIdentifier>
    </datacite:alternateIdentifiers>
    <datacite:relatedIdentifiers>
        <datacite:relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1016/j.jhepr.2024.101056</datacite:relatedIdentifier>
    </datacite:relatedIdentifiers>
    <datacite:formats>
        <datacite:format>application/zip</datacite:format>
        <datacite:format>application/gzip</datacite:format>
        <datacite:format>image/x-zeiss-czi</datacite:format>
        <datacite:format>text/plain</datacite:format>
        <datacite:format>text/csv</datacite:format>
        <datacite:format>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</datacite:format>
        <datacite:format>text/xml</datacite:format>
    </datacite:formats>
    <datacite:rightsList>
        <datacite:rights rightsURI="https://www.dlcm.ch/access-level/final">PUBLIC</datacite:rights>
        <datacite:rights rightsURI="https://www.dlcm.ch/data-tag">BLUE</datacite:rights>
        <datacite:rights rightsURI="https://www.dlcm.ch/data-use-policy">LICENSE</datacite:rights>
        <datacite:rights rightsURI="https://creativecommons.org/licenses/by/4.0/" rightsIdentifier="CC-BY-4.0" rightsIdentifierScheme="SPDX">Creative Commons Attribution 4.0 International</datacite:rights>
    </datacite:rightsList>
    <datacite:descriptions>
        <datacite:description descriptionType="Abstract" xml:lang="en">Objective: The obesity pandemic leads to a rising number of obese women of reproductive age. Emerging evidence suggests that maternal obesity has a negative impact on the long-term health of offspring. Additionally, obesity is an independent risk factor for malignancies, particularly hepatocellular carcinoma (HCC). The aim of our study is to investigate the impact of maternal obesity on the risk for HCC in the offspring and identify potential mechanisms of transmission.
Methods: Female mice were fed either a high fat (HFD) or a normal diet (ND) before mating. Offspring received ND throughout life. In the offspring, we studied the gut microbiome, liver histology, inflammatory patterns, and tumor load in a diethylnitrosamine-induced HCC mouse model. To normalize the gut microbiome, we co-housed offspring of HFD and ND mothers after weaning. The composition of the gut microbiota was assessed through 16S rRNA sequencing.
</datacite:description>
    </datacite:descriptions>
    <datacite:fundingReferences/>
</datacite:resource>