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<docDscr>
  <citation>
    <titlStmt>
      <titl>Biobank and Brain health in Bordeaux</titl>
      <IDNo>FRESH-PEF74145-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" role="">Cécilia SAMIERI</producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                Biobank and Brain health in Bordeaux            </titl>
      <altTitl>
                    B cube                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF74145-en            </IDNo>
      <IDNo agency="PEF">
                    74145                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF74145                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Coralie DELGADO                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)">
        <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
        <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
      </AuthEnty>
      <othId affiliation="Study funded under the PIA3 (PSPC BPI France, project &amp;quot SilverBrainFood&amp;quot )" type="collaboration">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            CENTRE HOSPITALIER UNIVERSITAIRE DE BORDEAUX                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
      <fundAg>
                                            PSPC BPI France                    
                                    </fundAg>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" email="coralie.delgado@u-bordeaux.fr">
                    Coralie;DELGADO
                                            <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
                                    </contact>
      <contact affiliation="INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM)" email="cecilia.samieri@u-bordeaux.fr">
                    Cécilia;SAMIERI
                                            <ExtLink title="ROR" URI="https://ror.org/02vjkv261" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="180036048" role="organisation id"/>
                                    </contact>
      <depDate date="2026-06-16"/>
      <distDate date="2026-06-16"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">
                    exposome</keyword>
      <topcClas vocab="health theme">
                        Geriatrics                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/d37e4d8c-a978-40c7-ba4f-eee841851073"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D005853"/>
                                                </topcClas>
      <topcClas vocab="health theme">
                        Neurology                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/c4793dfe-e80e-49dd-9fcc-a1a742de1b25"/>
                                                            <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/00a5c4f4-b7ee-41a4-bcdf-3a02e6be1660"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D009462"/>
                                                </topcClas>
      <topcClas vocab="cim-11">
                        Alzheimer disease                                            </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants: Eating habits                    </topcClas>
      <topcClas vocab="health determinant">
                        Environmental determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">Study of the exposome of cerebral aging in its early stages Summary : Age-related brain diseases such as Alzheimer's disease evolve silently for 15 to 20 years in the brain before the first symptoms appear and the disease is diagnosed. To date, little is known about the factors that contribute to the onset of the disease. Some of these factors, which cannot be modified, are linked to our genetic background others, which can be modified, are due to the exposome, i.e. all the exposures to which we are exposed and which influence our health. This includes external exposures (food, pollutants, etc.), but also the social context, as well as internal environmental (biological) regulations. In order to decipher the role of this environmental component in the earliest stages of brain aging, the ELEANOR team at BPH Inserm U1219 has launched a new population-based study, the B cube cohort, in March 2022, with support from PIA3. The aim is to include 2,000 young senior volunteers (aged 55 and over) from the Bordeaux metropolitan area in a multi-disciplinary analysis of their behavior, biological parameters, microbiota, etc., and link them to their brain function. The aim is to identify the factors and mechanisms which, early in life, enable the brain to adapt to aging or, on the contrary, to lead to the development of cerebral aging pathologies. The team hopes to define early prevention strategies that could delay or avoid these diseases, and ultimately reduce the burden of cerebral aging on society.</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date="2022-01-01"/>
      <nation abbr="fr">
                    France
                                            <concept vocab="ISO" vocabURI="fr"/>
                                    </nation>
      <geogCover>Nouvelle-Aquitaine</geogCover>
      <geogUnit/>
      <anlyUnit>
                Individuals            </anlyUnit>
      <universe level="type" clusion="I">General population                    </universe>
      <universe level="sex" clusion="I">Male                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008297"/>
                                                    </universe>
      <universe level="sex" clusion="I">Female                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D005260"/>
                                                    </universe>
      <universe level="sex" clusion="I">Other                                                    </universe>
      <universe level="age" clusion="I">Middle Aged (45 to 64 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008875"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged (65 to 79 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000368"/>
                                                    </universe>
      <dataKind>Clinical data</dataKind>
      <dataKind>Participant-reported health data</dataKind>
      <dataKind>Biological data</dataKind>
      <dataKind>Paraclinical data (non-biological) : Anthropometry</dataKind>
      <dataKind>Paraclinical data (non-biological) : Function testing</dataKind>
    </sumDscr>
    <qualityStatement>
      <otherQualityStatement>EPICONCEPT platform</otherQualityStatement>
    </qualityStatement>
  </stdyInfo>
  <method>
    <dataColl>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <sampleFrame>
        <frameUnit>
          <unitType>Population database for statistical purposes</unitType>
        </frameUnit>
      </sampleFrame>
      <collMode>Self-administered questionnaire                                                            <concept vocab="CESSDA" vocabURI="SelfAdministeredQuestionnaire"/>
                                                    </collMode>
      <collMode>Interview with the participant (including clinical)                                                            <concept vocab="CESSDA" vocabURI="Interview"/>
                                                    </collMode>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <notes subject="observational study method">
                        Cohort study                    </notes>
    <anlyInfo>
      <respRate>Target 2000 participants</respRate>
    </anlyInfo>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            To be defined                                                    </avlStatus>
    </setAvail>
  </dataAccs>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
