<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lassen JK</submitter><funding>Aarhus Universitets Forskningsfond</funding><funding>Innovationsfonden</funding><pagination>e13813</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10186604</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>22(5)</volume><pubmed_abstract>Untargeted metabolomics is the study of all detectable small molecules, and in geroscience, metabolomics has shown great potential to describe the biological age-a complex trait impacted by many factors. Unfortunately, the sample sizes are often insufficient to achieve sufficient power and minimize potential biases caused by, for example, demographic factors. In this study, we present the analysis of biological age in ~10,000 toxicologic routine blood measurements. The untargeted screening samples obtained from ultra-high pressure liquid chromatography-quadruple time of flight mass spectrometry (UHPLC- QTOF) cover + 300 batches and + 30 months, lack pooled quality controls, lack controlled sample collection, and has previously only been used in small-scale studies. To overcome experimental</pubmed_abstract><journal>Aging cell</journal><pubmed_title>Large-Scale metabolomics: Predicting biological age using 10,133 routine untargeted LC-MS measurements.</pubmed_title><pmcid>PMC10186604</pmcid><funding_grant_id>9069‐00034B</funding_grant_id><funding_grant_id>AUFF‐E‐2019‐9‐6</funding_grant_id><funding_grant_id>9069-00034B</funding_grant_id><funding_grant_id>AUFF-E-2019-9-6</funding_grant_id><pubmed_authors>Hasselstrom JB</pubmed_authors><pubmed_authors>Villesen P</pubmed_authors><pubmed_authors>Johannsen M</pubmed_authors><pubmed_authors>Wang T</pubmed_authors><pubmed_authors>Lassen JK</pubmed_authors><pubmed_authors>Nielsen KL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Large-Scale metabolomics: Predicting biological age using 10,133 routine untargeted LC-MS measurements.</name><description>Untargeted metabolomics is the study of all detectable small molecules, and in geroscience, metabolomics has shown great potential to describe the biological age-a complex trait impacted by many factors. Unfortunately, the sample sizes are often insufficient to achieve sufficient power and minimize potential biases caused by, for example, demographic factors. In this study, we present the analysis of biological age in ~10,000 toxicologic routine blood measurements. The untargeted screening samples obtained from ultra-high pressure liquid chromatography-quadruple time of flight mass spectrometry (UHPLC- QTOF) cover + 300 batches and + 30 months, lack pooled quality controls, lack controlled sample collection, and has previously only been used in small-scale studies. To overcome experimental</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 May</publication><modification>2025-04-25T22:32:30.687Z</modification><creation>2025-04-06T09:03:53.119Z</creation></dates><accession>S-EPMC10186604</accession><cross_references><pubmed>36935524</pubmed><doi>10.1111/acel.13813</doi></cross_references></HashMap>