<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Chen J</submitter><funding>National Institute of Allergy and Infectious Diseases</funding><funding>National Center for Advancing Translational Sciences</funding><funding>NCATS NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>National Institutes of Health</funding><pagination>226-236</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5866997</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(2)</volume><pubmed_abstract>Analysis of aging and pharmacogenetics (PGx) on antiretroviral pharmacokinetics (PKs) could inform precision dosing for older human HIV-infected patients. Seventy-four participants receiving either atazanavir/ritonavir (ATV/RTV) or efavirenz (EFV) with tenofovir/emtricitabine (TFV/FTC) provided PK and PGx information. Aging-PGx-PK association and interaction analyses were conducted using one-way analysis of variance (ANOVA), multiple linear regression, and Random Forest ensemble methods. Our analyses associated unbound ATV disposition with multidrug resistance protein (MRP)4, RTV with P-glycoprotein (P-gp), and EFV with cytochrome P450 (CYP)2B6 and MRP4 genetic variants. The clearance and cellular distribution of TFV were associated with P-gp, MRP2, and concentrative nucleoside transporters (CNTs), and FTC parameters were associated with organic cation transporters (OCTs) and MRP2 genetic variants. Notably, p16&lt;sup>INK4a&lt;/sup> expression, a cellular aging marker, predicted EFV and FTC PK when genetic factors were adjusted. Both age and p16&lt;sup>INK4a&lt;/sup> expression interacted with PGx on ATV and TFV disposition, implying potential dose adjustment based on aging may depend on genetic background.</pubmed_abstract><journal>Clinical and translational science</journal><pubmed_title>Pharmacogenetic Analysis of the Model-Based Pharmacokinetics of Five Anti-HIV Drugs: How Does This Influence the Effect of Aging?</pubmed_title><pmcid>PMC5866997</pmcid><funding_grant_id>P30 AI050410</funding_grant_id><funding_grant_id>UL1TR001111</funding_grant_id><funding_grant_id>UL1RR02574</funding_grant_id><funding_grant_id>UL1 TR001111</funding_grant_id><funding_grant_id>K23 AI093156</funding_grant_id><pubmed_authors>Wagner MJ</pubmed_authors><pubmed_authors>Wiltshire T</pubmed_authors><pubmed_authors>Akhtari FS</pubmed_authors><pubmed_authors>Motsinger-Reif AA</pubmed_authors><pubmed_authors>Chen J</pubmed_authors><pubmed_authors>Suzuki O</pubmed_authors><pubmed_authors>Dumond JB</pubmed_authors></additional><is_claimable>false</is_claimable><name>Pharmacogenetic Analysis of the Model-Based Pharmacokinetics of Five Anti-HIV Drugs: How Does This Influence the Effect of Aging?</name><description>Analysis of aging and pharmacogenetics (PGx) on antiretroviral pharmacokinetics (PKs) could inform precision dosing for older human HIV-infected patients. Seventy-four participants receiving either atazanavir/ritonavir (ATV/RTV) or efavirenz (EFV) with tenofovir/emtricitabine (TFV/FTC) provided PK and PGx information. Aging-PGx-PK association and interaction analyses were conducted using one-way analysis of variance (ANOVA), multiple linear regression, and Random Forest ensemble methods. Our analyses associated unbound ATV disposition with multidrug resistance protein (MRP)4, RTV with P-glycoprotein (P-gp), and EFV with cytochrome P450 (CYP)2B6 and MRP4 genetic variants. The clearance and cellular distribution of TFV were associated with P-gp, MRP2, and concentrative nucleoside transporters (CNTs), and FTC parameters were associated with organic cation transporters (OCTs) and MRP2 genetic variants. Notably, p16&lt;sup>INK4a&lt;/sup> expression, a cellular aging marker, predicted EFV and FTC PK when genetic factors were adjusted. Both age and p16&lt;sup>INK4a&lt;/sup> expression interacted with PGx on ATV and TFV disposition, implying potential dose adjustment based on aging may depend on genetic background.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Mar</publication><modification>2024-11-15T20:51:59.773Z</modification><creation>2019-03-26T23:20:47Z</creation></dates><accession>S-EPMC5866997</accession><cross_references><pubmed>29205871</pubmed><doi>10.1111/cts.12525</doi></cross_references></HashMap>