Assessments of <scp>CYP</scp>‐Inhibition‐Based Drug–Drug Interactions Between Tofacitinib and Lipid‐Lowering Agents in Rats Both In Vitro and In Vivo

Tofacitinib is a widely used medication for the treatment of arthritis. It has been reported that some patients experience abnormal cholesterol levels following treatment, leading to recommendations for the coadministration of lipid-lowering drugs such as statins. In this study, we investigated the potential drug-drug interactions between tofacitinib and the statins simvastatin and lovastatin. In the in vitro experiments, rat liver microsomes were employed to evaluate the inhibitory effects of lipid-lowering agents on the metabolism of tofacitinib, with the primary metabolite M8 analyzed using ultra-performance liquid chromatography-tandem mass spectrometry. The results showed that simvastatin and lovastatin significantly inhibited the metabolism of tofacitinib, with IC<sub>50</sub> values of 5.837 and 10.68 μM, respectively. For the in vivo pharmacokinetic studies, Sprague-Dawley rats were pretreated with simvastatin or lovastatin via oral gavage for 7 days before the oral gavage of tofacitinib. This pretreatment led to an increased area under the concentration-time curve of tofacitinib, suggesting that a potential reduction in the first metabolism and/or systemic clearance takes place. These findings demonstrate significant interactions between tofacitinib and certain lipid-lowering agents in the rat model, particularly simvastatin and lovastatin, both in vitro and in vivo.

Authors

Institutions

Publication Details

Journal
Pharmacology Research & Perspectives
Published
2025-05-30
DOI
https://doi.org/10.1002/prp2.70127
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessments of CYP‐Inhibition‐Based Drug–Drug Interactions Between Tofacitinib and Lipid‐Lowering Agents in Rats Both In Vitro and In Vivo

Peiwu Geng, Yunfang Zhou, Qi Lin, Shuanghu Wang et al.
Pharmacology Research & Perspectives
Computational Drug Discovery Methods
article

Assessments of CYP‐Inhibition‐Based Drug–Drug Interactions Between Tofacitinib and Lipid‐Lowering Agents in Rats Both In Vitro and In Vivo

Peiwu Geng, Yunfang Zhou, Qi Lin, Shuanghu Wang, Jian‐Ping Cai, Da‐Peng Dai, Zebei Lu, Hang Yang, Quan Zhou, Chun‐Hong Chen
article en

Abstract

Tofacitinib is a widely used medication for the treatment of arthritis. It has been reported that some patients experience abnormal cholesterol levels following treatment, leading to recommendations for the coadministration of lipid-lowering drugs such as statins. In this study, we investigated the potential drug-drug interactions between tofacitinib and the statins simvastatin and lovastatin. In the in vitro experiments, rat liver microsomes were employed to evaluate the inhibitory effects of lipid-lowering agents on the metabolism of tofacitinib, with the primary metabolite M8 analyzed using ultra-performance liquid chromatography-tandem mass spectrometry. The results showed that simvastatin and lovastatin significantly inhibited the metabolism of tofacitinib, with IC<sub>50</sub> values of 5.837 and 10.68 μM, respectively. For the in vivo pharmacokinetic studies, Sprague-Dawley rats were pretreated with simvastatin or lovastatin via oral gavage for 7 days before the oral gavage of tofacitinib. This pretreatment led to an increased area under the concentration-time curve of tofacitinib, suggesting that a potential reduction in the first metabolism and/or systemic clearance takes place. These findings demonstrate significant interactions between tofacitinib and certain lipid-lowering agents in the rat model, particularly simvastatin and lovastatin, both in vitro and in vivo.

Pharmacology Research & PerspectivesVol. 13(3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), Wenzhou Medical University (CN), Beijing Geriatric Hospital (CN), Lishui City People's Hospital (CN)
National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 87%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.