ReviewLiver research (Beijing, China)2025
Sex differences in hepatic enzymes and transporters involved in pharmacokinetics.
Review in Liver research (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- The effects of androgens on drug metabolism and transport: clinical pharmacologic considerations for people assigned female at birth.Expert opinion on drug metabolism & toxicology · 2026Article
- Review
- Sex Differences in Psychotropic Drug Exposure and Safety: A Systematic Review Toward Personalized Dosing Strategies.Journal of personalized medicine · 2026Review
- Pioglitazone Attenuates Sepsis-Associated Acute Kidney Injury by Modulating TLR-4/NF-κB Signaling and Improving Survival and Renal Function.Journal of clinical medicine · 2026Article
- Microbiome-derived cancer: the catabolism of bilirubin to urobilin in the liver-gut axis and its consequences.Gastroenterology report · 2026Review
- A multidimensional investigation of myelosuppression associated with sintilimab: integrating pharmacovigilance signal mining with real-world clinical evidence.Frontiers in pharmacology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Females experience adverse drug reactions at approximately twice the rate of males, contributing to drug-related morbidity and mortality in the United States. This disparity has been strongly associated with sex-based differences in pharmacokinetics. Hepatic drug-metabolizing enzymes and transporters, key regulators of pharmacokinetics, exhibit notable sex-based differences in expression and/or activity. However, findings on the sex-specific impacts of these enzymes and transporters are often scattered, highlighting the need for a comprehensive and up-to-date overview of knowledge in this area. This review compiles and analyzes existing data on sex differences in the expression and activity of clinically relevant hepatic drug-metabolizing enzymes and transporters across species, such as cytochrome P450s, UDP-glucuronosyltransferase, carboxylesterases, P-glycoprotein, breast cancer resistance protein, multidrug resistance-associated protein, organic anion-transporting polypeptides and organic cation transporters. It also summarizes how these differences influence clinical pharmacokinetics, adverse drug reactions, and drug dosing regimens. Furthermore, we explore potential underlying mechanisms, including the influence of sex hormones, sex chromosomes and lifestyle-related factors. Lastly, we discuss clinical implications and future directions in the field, highlighting the urgent need for more human-centered research to clarify the sex-specific impact on drug metabolism and transport in human. Such effort will support the development of sex-informed pharmacotherapy strategies that ultimately reduce adverse drug reactions and improve therapeutic outcomes for patients.
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Registered trials
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.