<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Alade AN</submitter><funding>National Center for Research Resources</funding><funding>NCRR NIH HHS</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>716-732</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10928895</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7(3)</volume><pubmed_abstract>This study evaluated the underlying mechanistic links between genetic variability in vitamin K metabolic pathway genes (&lt;i>CYP4F2&lt;/i> and &lt;i>CYP4F11&lt;/i>) and phylloquinone hydroxylation activity using genotype- and haplotype-based approaches. Specifically, we characterized genetic variability in the &lt;i>CYP4F2/CYP4F11&lt;/i> locus and compared common single allele genotypes and common haplotypes as predictors of hepatic gene expression, enzyme abundance, and phylloquinone (VK&lt;sub>1&lt;/sub>) ω-hydroxylation kinetics. We measured &lt;i>CYP4F2&lt;/i> and &lt;i>CYP4F11&lt;/i> mRNA levels, CYP4F2 and CYP4F11 protein abundances, and the VK&lt;sub>1&lt;/sub> concentration-dependent ω-hydroxylation rate in matched human liver nucleic acid and microsome samples, utilizing a novel &lt;i>in vitro&lt;/i> population modeling approach. Results indicate that accounting for the &lt;i>CYP4F2*3&lt;/i> allele alone is sufficient to capture most of the genetic-derived variability in the observed phenotypes. Additionally, our findings highlight the important contribution that CYP4F11 makes toward vitamin K metabolism in the human liver.</pubmed_abstract><journal>ACS pharmacology &amp; translational science</journal><pubmed_title>Cytochrome P450 Family &lt;i>4F2&lt;/i> and &lt;i>4F11&lt;/i> Haplotype Mapping and Association with Hepatic Gene Expression and Vitamin K Hydroxylation Activity.</pubmed_title><pmcid>PMC10928895</pmcid><funding_grant_id>TL1-RR025016</funding_grant_id><funding_grant_id>P01 GM116691</funding_grant_id><funding_grant_id>TL1 RR025016</funding_grant_id><funding_grant_id>P01-GM116691</funding_grant_id><pubmed_authors>Alade AN</pubmed_authors><pubmed_authors>Prasad B</pubmed_authors><pubmed_authors>Claw KG</pubmed_authors><pubmed_authors>Rettie AE</pubmed_authors><pubmed_authors>Thummel KE</pubmed_authors><pubmed_authors>McDonald MG</pubmed_authors></additional><is_claimable>false</is_claimable><name>Cytochrome P450 Family &lt;i>4F2&lt;/i> and &lt;i>4F11&lt;/i> Haplotype Mapping and Association with Hepatic Gene Expression and Vitamin K Hydroxylation Activity.</name><description>This study evaluated the underlying mechanistic links between genetic variability in vitamin K metabolic pathway genes (&lt;i>CYP4F2&lt;/i> and &lt;i>CYP4F11&lt;/i>) and phylloquinone hydroxylation activity using genotype- and haplotype-based approaches. Specifically, we characterized genetic variability in the &lt;i>CYP4F2/CYP4F11&lt;/i> locus and compared common single allele genotypes and common haplotypes as predictors of hepatic gene expression, enzyme abundance, and phylloquinone (VK&lt;sub>1&lt;/sub>) ω-hydroxylation kinetics. We measured &lt;i>CYP4F2&lt;/i> and &lt;i>CYP4F11&lt;/i> mRNA levels, CYP4F2 and CYP4F11 protein abundances, and the VK&lt;sub>1&lt;/sub> concentration-dependent ω-hydroxylation rate in matched human liver nucleic acid and microsome samples, utilizing a novel &lt;i>in vitro&lt;/i> population modeling approach. Results indicate that accounting for the &lt;i>CYP4F2*3&lt;/i> allele alone is sufficient to capture most of the genetic-derived variability in the observed phenotypes. Additionally, our findings highlight the important contribution that CYP4F11 makes toward vitamin K metabolism in the human liver.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-06-02T10:10:35.41Z</modification><creation>2025-04-03T23:26:37.154Z</creation></dates><accession>S-EPMC10928895</accession><cross_references><pubmed>38481683</pubmed><doi>10.1021/acsptsci.3c00287</doi></cross_references></HashMap>