Evidence map›Paper›PMID 41535882›Full record

ArticleBMC pharmacology & toxicology2026

Impact of aging on the pharmacokinetic profile of everolimus in male mice.

Dilek Ozturk Civelek, Ferdi Ozturk, Yasemin Kubra Akyel, Alper Okyar

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Article in BMC pharmacology & toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Dilek Ozturk CivelekDepartment of Pharmacology, Faculty of Pharmacy, Bezmialem Vakif University, Istanbul, Türkiye.
Ferdi OzturkDepartment of Pharmacology, Faculty of Pharmacy, Istanbul University, Beyazit-Istanbul, 34116, Türkiye.
Yasemin Kubra AkyelDepartment of Pharmacology, Faculty of Pharmacy, Istanbul University, Beyazit-Istanbul, 34116, Türkiye.
Alper OkyarDepartment of Pharmacology, Faculty of Pharmacy, Istanbul University, Beyazit-Istanbul, 34116, Türkiye. aokyar@istanbul.edu.tr.

Funding

Bezmialem Vakif University Scientific Research Projects Unit 20200310Research Fund of Istanbul University YOP-24831
6 · The paper itself

Abstract

backgroundAge-related changes in drug-metabolizing enzymes and transporters can alter pharmacokinetics, yet data on everolimus, a widely used mTOR inhibitor, remain limited. This study investigated the pharmacokinetic profile of everolimus in male C57BL/6J mice at three life stages—young (≈ 9 weeks), adult (≈ 23 weeks), and old (≈ 56 weeks)—and examined whether age-related changes in hepatic and intestinal Cyp3a11 and Abcb1a/b (P-gp; P-glycoprotein) expression parallel these alterations. Mice received a single oral dose of everolimus (5 mg/kg, ZT1), and plasma and hepatic concentrations were quantified over 24 h by validated HPLC-UV, with non-compartmental analysis performed (n = 5 per age group per time point). In drug-naïve, age-matched cohorts, gene and protein expression were measured by qPCR and western blot (n = 5 per age group).

resultsThe area under the concentration–time curve (AUCtotal) was 129% greater in young mice and 86% more in mature mice compared to old mice (young vs. old, p < 0.05). Peak plasma concentration (Cmax) also decreased with age (young + 95%, adult + 72% compared to elderly; p < 0.01 and p < 0.05). Oral clearance (CL/F) increased by 68% in adults and 230% in older individuals compared to young animals, whereas the apparent volume of distribution (Vd/F) climbed by 47% and 187%, respectively. In liver, Abcb1a remained unchanged across age groups, whereas Abcb1b transcripts rose ~ 1.5-fold in old vs. young mice (p < 0.001). Hepatic Cyp3a11 declined stepwise, falling by ~ 55% in old animals (p < 0.01). At the protein level, total hepatic P-gp dropped in adult and old mice (− 45% vs. young, p < 0.05) and Cyp3a protein showed a non-significant downward trend. In ileum, Abcb1a increased sharply with age (adult ≈ 5-fold, old ≈ 7-fold vs. young), translating to a ~ 5-fold rise in P-gp protein in adult mice (p < 0.01); Abcb1b transcripts were unchanged. Ileal Cyp3a11 mRNA peaked in adults (≈ 3-fold vs. young, p < 0.05), although Cyp3a protein differences did not reach significance.

conclusionThese findings suggest that reduced everolimus bioavailability in older mice is primarily driven by increased intestinal P-gp–mediated efflux rather than hepatic metabolism, supporting the need for age-adjusted dosing to optimize therapeutic outcomes across the lifespan.

Indexed as

AgingEverolimusMTOR InhibitorsAnimalsATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Cytochrome P-450 CYP3ALiverMaleMembrane ProteinsMiceMice, Inbred C57BLAbcb1b protein, mouseATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 1Cyp3a11 protein, mouseCytochrome P-450 CYP3AEverolimusMembrane ProteinsMTOR InhibitorsAgeC57BL/6J miceCyp3aEverolimusP-glycoprotein

Identifiers

PMID41535882
PMCPMC12888458

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.