Pharmacogenomics
Population-specific putative causal variants shape quantitative traits
Nat Genet. 2024 Oct 3. doi: 10.1038/s41588-024-01913-5. Online ahead of print.
ABSTRACT
Human genetic variants are associated with many traits through largely unknown mechanisms. Here, combining approximately 260,000 Japanese study participants, a Japanese-specific genotype reference panel and statistical fine-mapping, we identified 4,423 significant loci across 63 quantitative traits, among which 601 were new, and 9,406 putatively causal variants. New associations included Japanese-specific coding, splicing and noncoding variants, exemplified by a damaging missense variant rs730881101 in TNNT2 associated with lower heart function and increased risk for heart failure (P = 1.4 × 10-15 and odds ratio = 4.5, 95% confidence interval = 3.1-6.5). Putative causal noncoding variants were supported by state-of-art in silico functional assays and had comparable effect sizes to coding variants. A plausible example of new mechanisms of causal variants is an enrichment of causal variants in 3' untranslated regions (UTRs), including the Japanese-specific rs13306436 in IL6 associated with pro-inflammatory traits and protection against tuberculosis. We experimentally showed that transcripts with rs13306436 are resistant to mRNA degradation by regnase-1, an RNA-binding protein. Our study provides a list of fine-mapped causal variants to be tested for functionality and underscores the importance of sequencing, genotyping and association efforts in diverse populations.
PMID:39363016 | DOI:10.1038/s41588-024-01913-5
Real-world evaluation of <em>CYP2C19</em> guided antiplatelet therapy in patients undergoing intracranial aneurysm repair
Pharmacogenomics. 2024 Oct 3:1-11. doi: 10.1080/14622416.2024.2406213. Online ahead of print.
ABSTRACT
Aim: To evaluate the feasibility and impact of using CYP2C19 genotype to guide selection of antiplatelet therapy in patients undergoing intracranial aneurysm treatment with a flow diversion stent in a real-world clinical setting.Patients & methods: A single-center, retrospective, observational cohort study was conducted in 112 patients undergoing intracranial aneurysm repair with flow-diversion stenting from 2014 to 2021. Data were abstracted from health records. The frequency of clopidogrel or alternative therapy (ticagrelor or prasugrel) use was compared across CYP2C19 status (intermediate or poor metabolizer [IM/PM] vs. normal, rapid, or ultrarapid metabolizer [NM/RM/UM]).Results: In the study population, CYP2C19 genotype testing was performed on 110 (98.2%) patients; of these, 106 (97.2%) had results available prior to the stent procedure and 28 (25.5%) were IM/PMs. Alternative therapy was used more frequently in IM/PMs compared with NM/RM/UMs (57.1 vs. 8.5%, respectively, p < 0.0001). The frequency of thromboembolic events over 12 months did not significantly differ across clopidogrel-treated IM/PMs, clopidogrel-treated NM/RM/UMs and patients on alternative therapy (p = 0.352); although, event numbers were low.Conclusion: A pre-emptive CYP2C19 genotyping strategy to guide antiplatelet therapy selection in intracranial aneurysm repair patients is feasible in a real-world clinical setting. Larger studies are needed to assess the impact on clinical outcomes.
PMID:39360670 | DOI:10.1080/14622416.2024.2406213
Clinical and economic outcomes of a pharmacogenomics-enriched comprehensive medication management program in a self-insured employee population
Pharmacogenomics J. 2024 Oct 2;24(5):30. doi: 10.1038/s41397-024-00350-1.
ABSTRACT
Clinical and economic outcomes from a pharmacogenomics-enriched comprehensive medication management program were evaluated over 26 months in a self-insured U.S. employee population (n = 452 participants; n = 1500 controls) using propensity matched pre-post design with adjusted negative binomial and linear regression models. After adjusting for baseline covariates, program participation was associated with 39% fewer inpatient (p = 0.05) and 39% fewer emergency department (p = 0.002) visits, and with 21% more outpatient visits (p < 0.001) in the follow-up period compared to the control group. Results show pharmacogenomics-enriched comprehensive medication management can favorably impact healthcare utilization in a self-insured employer population by reducing emergency department and inpatient visits and can offer the potential for cost savings. Self-insured employers may consider implementing pharmacogenomics-enriched comprehensive medication management to improve the healthcare of their employees.
PMID:39358335 | PMC:PMC11446811 | DOI:10.1038/s41397-024-00350-1
Enhancing Asthma Pharmacogenetics Through Subtype-Specific Associations
Clin Exp Allergy. 2024 Oct 2. doi: 10.1111/cea.14573. Online ahead of print.
NO ABSTRACT
PMID:39357540 | DOI:10.1111/cea.14573
Comparative performance of pharmacogenetics-based warfarin dosing algorithms in Chinese population: use of a pharmacokinetic/pharmacodynamic model to explore dosing regimen through clinical trial simulation
Pharmacogenet Genomics. 2024 Dec 1;34(9):275-284. doi: 10.1097/FPC.0000000000000545. Epub 2024 Sep 12.
ABSTRACT
OBJECTIVE: Warfarin has a narrow therapeutic window and large variability in dosing that are affected by clinical and genetic factors. To help guide the dosing of warfarin, the Clinical Pharmacogenetics Implementation Consortium has recommended the use of pharmacogenetic algorithms, such as the ones developed by the International Warfarin Pharmacogenetics Consortium (IWPC) and by Gage et al. when genotype information is available.
METHODS: In this study, simulations were performed in Chinese cohorts to explore how dosing differences between Western (by IWPC and Gage et al.) and Chinese algorithms (by Miao et al.) would mean in terms of anticoagulation effect in clinical trials. We first tried to replicate a published clinical trial comparing genotype-guided dosing to routine clinical dosing in Chinese patients. We then made simulations where Chinese cohorts received daily doses recommended by Gage, IWPC, and Miao algorithms.
RESULTS: We found that in simulation conditions where dosing specifications were strictly followed, genotype-guided dosing by IWPC and Lenzini formulae was more likely to overshoot the upper limit of the therapeutic window by day 15, and thus may have a lower % time in therapeutic range (%TTR) than that of clinical dosing group. Also, in comparing Gage, IWPC, and Miao algorithms, we found that the Miao dosing cohort has the highest %TTR and the lowest risk of over-anticoagulation by day 28.
CONCLUSION: In summary, our results confirmed that algorithms developed based on data from local patients may be more suitable for achieving therapeutic international normalized ratio window in Chinese population.
PMID:39356590 | PMC:PMC11424055 | DOI:10.1097/FPC.0000000000000545
Significance of <em>FSHR</em> and <em>LHCGR</em> gene polymorphisms on clinical outcomes in gonadotropin-releasing hormone antagonist protocol with freeze-all strategy: A case-control study
Int J Reprod Biomed. 2024 Sep 12;22(7):539-552. doi: 10.18502/ijrm.v22i7.16962. eCollection 2024 Jul.
ABSTRACT
BACKGROUND: Follicle-stimulating hormone receptor (FSHR) and luteinizing hormone/choriogonadotropin receptor (LHCGR) are integral to ovarian function, facilitating follicle development and maturation through their respective hormonal interactions. The influence of receptor polymorphisms on the outcomes of freeze-all cycles remains unclear.
OBJECTIVE: This study investigates the impact of FSHR N680S and LHCGR N312S polymorphisms on clinical outcomes in freeze-all cycles.
MATERIALS AND METHODS: Women undergoing controlled ovarian stimulation for assisted reproductive technology participated in this study. They were administered a gonadotropin-releasing hormone antagonist protocol, with recombinant follicle-stimulating hormone (rFSH) dosages adjusted according to age, body mass index, antral follicle count, and individual hormonal responses. Additionally, human menopausal gonadotropin dosages were tailored based on the LHCGR N312S genetic variant.
RESULTS: Analysis revealed no significant differences in age, body mass index, antral follicle count, or marital status across the genotypes of FSHR N680S and LHCGR N312S. However, notable differences were observed in the rFSH dosage required daily and in total among the FSHR polymorphism genotypes. Genotypes of the LHCGR polymorphism correlated with fewer stimulation days. A significant interaction was observed between the 2 polymorphisms concerning total rFSH dosage.
CONCLUSION: The presence of serine in the FSHR polymorphism was associated with higher rFSH dosage requirements. Both FSHR N680S and LHCGR N312S polymorphisms significantly influenced clinical pregnancy and live birth outcomes in freeze-all cycles, underscoring the potential of a pharmacogenomic approach to optimize hormone supplementation in controlled ovarian stimulation protocols during assisted reproductive technology treatments.
PMID:39355311 | PMC:PMC11441282 | DOI:10.18502/ijrm.v22i7.16962
Pharmacogenetic analysis of structural variation in the 1000 genomes project using whole genome sequences
Sci Rep. 2024 Oct 1;14(1):22774. doi: 10.1038/s41598-024-73748-3.
ABSTRACT
While significant strides have been made in understanding pharmacogenetics (PGx) and gene-drug interactions, there remains limited characterization of population-level PGx variation. This study aims to comprehensively profile global star alleles (haplotype patterns) and phenotype frequencies in 58 pharmacogenes associated with drug absorption, distribution, metabolism, and excretion. PyPGx, a star-allele calling tool, was employed to identify star alleles within high-coverage whole genome sequencing (WGS) data from the 1000 Genomes Project (N = 2504; 26 global populations). This process involved detecting structural variants (SVs), such as gene deletions, duplications, hybrids, as well as single nucleotide variants and insertion-deletion variants. The majority of our PyPGx calls for star alleles and phenotype frequencies aligned with the Pharmacogenomics Knowledge Base, although notable population-specific frequencies differed at least twofold. Validation efforts confirmed known SVs while uncovering several novel SVs currently undefined as star alleles. Additionally, we identified 210 small nucleotide variants associated with severe functional consequences that are not defined as star alleles. The study serves as a valuable resource, providing updated population-level star allele and phenotype frequencies while incorporating SVs. It also highlights the burgeoning potential of cost-effective WGS for PGx genotyping, offering invaluable insights to improve tailored drug therapies across diverse populations.
PMID:39354004 | PMC:PMC11445439 | DOI:10.1038/s41598-024-73748-3
Impact of Hashimoto's thyroiditis on the tumor microenvironment in papillary thyroid cancer: insights from single-cell analysis
Front Endocrinol (Lausanne). 2024 Sep 16;15:1339473. doi: 10.3389/fendo.2024.1339473. eCollection 2024.
ABSTRACT
This study investigates the impact of Hashimoto's thyroiditis (HT), an autoimmune disorder, on the papillary thyroid cancer (PTC) microenvironment using a dataset of 140,456 cells from 11 patients. By comparing PTC cases with and without HT, we identify HT-specific cell populations (HASCs) and their role in creating a TSH-suppressive environment via mTE3, nTE0, and nTE2 thyroid cells. These cells facilitate intricate immune-stromal communication through the MIF-(CD74+CXCR4) axis, emphasizing immune regulation in the TSH context. In the realm of personalized medicine, our HASC-focused analysis within the TCGA-THCA dataset validates the utility of HASC profiling for guiding tailored therapies. Moreover, we introduce a novel, objective method to determine K-means clustering coefficients in copy number variation inference from bulk RNA-seq data, mitigating the arbitrariness in conventional coefficient selection. Collectively, our research presents a detailed single-cell atlas illustrating HT-PTC interactions, deepening our understanding of HT's modulatory effects on PTC microenvironments. It contributes to our understanding of autoimmunity-carcinogenesis dynamics and charts a course for discovering new therapeutic targets in PTC, advancing cancer genomics and immunotherapy research.
PMID:39351536 | PMC:PMC11439672 | DOI:10.3389/fendo.2024.1339473
Antipsychotic Drugs: A Concise Review of History, Classification, Indications, Mechanism, Efficacy, Side Effects, Dosing, and Clinical Application
Am J Psychiatry. 2024 Oct 1;181(10):865-878. doi: 10.1176/appi.ajp.20240738.
ABSTRACT
The introduction of the first antipsychotic drug, chlorpromazine, was a milestone for psychiatry. The authors review the history, classification, indications, mechanism, efficacy, side effects, dosing, drug initiation, switching, and other practical issues and questions related to antipsychotics. Classifications such as first-generation/typical versus second-generation/atypical antipsychotics are neither valid nor useful; these agents should be described according to the Neuroscience-based Nomenclature (NbN). Antipsychotic drugs are not specific for treating schizophrenia. They reduce psychosis regardless of the underlying diagnosis, and they go beyond nonspecific sedation. All currently available antipsychotic drugs are dopamine blockers or dopamine partial agonists. In schizophrenia, effect sizes for relapse prevention are larger than for acute treatment. A major unresolved problem is the implausible increase in placebo response in antipsychotic drug trials over the decades. Differences in side effects, which can be objectively measured, such as weight gain, are less equivocal than differences in rating-scale-measured (subjective) efficacy. The criteria for choosing among antipsychotics are mainly pragmatic and include factors such as available formulations, metabolism, half-life, efficacy, and side effects in previous illness episodes. Plasma levels help to detect nonadherence, and once-daily dosing at night (which is possible with many antipsychotics) and long-acting injectable formulations are useful when adherence is a problem. Dose-response curves for both acute treatment and relapse prevention follow a hyperbolic pattern, with maximally efficacious average dosages for schizophrenia of around 5 mg/day risperidone equivalents. Computer apps facilitating the choice between drugs are available. Future drug development should include pharmacogenetics and focus on drugs for specific aspects of psychosis.
PMID:39350614 | DOI:10.1176/appi.ajp.20240738
Pharmacogenetics of DPYD and treatment-related mortality on fluoropyrimidine chemotherapy for cancer patients: a meta-analysis and trial sequential analysis
BMC Cancer. 2024 Sep 30;24(1):1210. doi: 10.1186/s12885-024-12981-5.
ABSTRACT
BACKGROUND: Fluoropyrimidines are chemotherapy drugs utilized to treat a variety of solid tumors. These drugs predominantly rely on the enzyme dihydropyrimidine dehydrogenase (DPD), which is encoded by the DPYD gene, for their metabolism. Genetic mutations affecting this gene can cause DPYD deficiency, disrupting pyrimidine metabolism and increasing the risk of toxicity in cancer patients treated with 5-fluorouracil. The severity and type of toxic reactions are influenced by genetic and demographic factors and, in certain instances, can result in patient mortality. Among the more than 50 identified variants of DPYD, only a subset has clinical significance, leading to the production of enzymes that are either non-functional or impaired. The study aims to examine treatment-related mortality in cancer patients undergoing fluoropyrimidine chemotherapy, comparing those with and without DPD deficiency.
METHODS: The meta-analysis selected and evaluated 9685 studies from Pubmed, Cochrane, Embase and Web of Science databases. Only studies examining the main DPYD variants (DPYD*2A, DPYD p.D949V, DPYD*13 and DPYD HapB3) were included. Statistical Analysis was performed using R, version 4.2.3. Data were examined using the Mantel-Haenszel method and 95% CIs. Heterogeneity was assessed with I2 statistics.
RESULTS: There were 36 prospective and retrospective studies included, accounting for 16,005 patients. Most studies assessed colorectal cancer, representing 86.49% of patients. Other gastrointestinal cancers were evaluated by 11 studies, breast cancer by nine studies and head and neck cancers by five studies. Four DPYD variants were identified as predictors of severe fluoropyrimidines toxicity in literature review: DPYD*2A (rs3918290), DPYD p.D949V (rs67376798), DPYD*13 (rs55886062) and DPYD Hap23 (rs56038477). All 36 studies assessed the DPYD*2A variant, while 20 assessed DPYD p.D949V, 7 assessed DPYD*13, and 9 assessed DPYDHap23. Among the 587 patients who tested positive for at least one DPYD variant, 13 died from fluoropyrimidine toxicity. Conversely, in the non-carrier group there were 14 treatment-related deaths. Carriers of DPYD variants was found to be significantly correlated with treatment-related mortality (OR = 34.86, 95% CI 13.96-87.05; p < 0.05).
CONCLUSIONS: This study improves our comprehension of how the DPYD gene impacts cancer patients receiving fluoropyrimidine chemotherapy. Identifying mutations associated with dihydropyrimidine dehydrogenase deficiency may help predict the likelihood of serious side effects and fatalities. This knowledge can be applied to adjust medication doses before starting treatment, thus reducing the occurrence of these critical outcomes.
PMID:39350200 | PMC:PMC11441158 | DOI:10.1186/s12885-024-12981-5
Genome-wide association studies for pelvic organ prolapse in the Japanese population
Commun Biol. 2024 Sep 30;7(1):1188. doi: 10.1038/s42003-024-06875-2.
ABSTRACT
Pelvic organ prolapse (POP) affects approximately 40% of elderly women, characterized by the descent of the pelvic organs into the vaginal cavity. Here we present the results of a genome-wide association study (GWAS) for susceptibility to POP comprising 771 cases and 76,625 controls in the Japanese population. We identified a significant association of WT1 locus with POP in the Japanese population; rs10742277; odds ratio (OR) = 1.48, 95% confidence interval (CI), 1.29-1.68, P = 6.72 × 10-9. Subsequent cross-ancestry GWAS meta-analysis combining the Japanese data and previously reported European data, including 28,857 cases and 622,916 controls, identified FGFR2 locus as a novel susceptibility locus to POP (rs7072877; OR = 1.06, 95% CI, 1.04-1.08, P = 4.11 × 10-8). We also observed consistent directions of the effects for 21 out of 24 European GWAS derived loci (binomial test P = 2.8 × 10-4), indicating that most of susceptibility loci for POP are shared across the Japanese and European populations.
PMID:39349682 | PMC:PMC11443051 | DOI:10.1038/s42003-024-06875-2
Pharmacokinetics and pharmacogenomics of ribociclib in black patients with metastatic breast cancer the LEANORA study
NPJ Breast Cancer. 2024 Sep 30;10(1):84. doi: 10.1038/s41523-024-00692-w.
ABSTRACT
Underrepresented populations' participation in clinical trials remains limited, and the potential impact of genomic variants on drug metabolism remains elusive. This study aimed to assess the pharmacokinetics (PK) and pharmacogenomics (PGx) of ribociclib in self-identified Black women with hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2) advanced breast cancer. LEANORA (NCT04657679) was a prospective, observational, multicenter cohort study involving 14 Black women. PK and PGx were evaluated using tandem mass spectrometry and PharmacoScan™ microarray (including CYP3A5*3, *6, and *7). CYP3A5 phenotypes varied among participants: 7 poor metabolizers (PM), 6 intermediate metabolizers (IM), and one normal metabolizer (NM). The area under the curve did not significantly differ between PMs (39,230 h*ng/mL) and IM/NMs (43,546 h*ng/mL; p = 0.38). The incidence of adverse events (AEs) was also similar. We found no association between CYP3A5 genotype and ribociclib exposure. Continued efforts are needed to include diverse populations in clinical trials to ensure equitable treatment outcomes.
PMID:39349477 | PMC:PMC11442496 | DOI:10.1038/s41523-024-00692-w
Pharmacogenetic Panel Testing: A Review of Current Practice and Potential for Clinical Implementation
Annu Rev Pharmacol Toxicol. 2024 Sep 30. doi: 10.1146/annurev-pharmtox-061724-080935. Online ahead of print.
ABSTRACT
Pharmacogenetics (PGx) aims to optimize drug treatment outcomes by using a patient's genetic profile for individualized drug and dose selection. Currently, reactive and pretherapeutic single-gene PGx tests are increasingly applied in clinical practice in several countries and institutions. With over 95% of the population carrying at least one actionable PGx variant, and with drugs impacted by these genetic variants being in common use, pretherapeutic or preemptive PGx panel testing appears to be an attractive option for better-informed drug prescribing. Here, we discuss the current state of PGx panel testing and explore the potential for clinical implementation. We conclude that available evidence supports the implementation of pretherapeutic PGx panel testing for drugs covered in the PGx guidelines, yet identification of specific patient populations that benefit most and cost-effectiveness data are necessary to support large-scale implementation.
PMID:39348848 | DOI:10.1146/annurev-pharmtox-061724-080935
Reply to "Inadequate representation of individuals of African ancestry in pharmacogenetics of tamoxifen research"
Clin Transl Sci. 2024 Oct;17(10):e70031. doi: 10.1111/cts.70031.
NO ABSTRACT
PMID:39348038 | PMC:PMC11441274 | DOI:10.1111/cts.70031
Precision medicine activities and opportunities for shaping maternal and neonatal health in Qatar
Per Med. 2024 Sep 30:1-21. doi: 10.1080/17410541.2024.2394397. Online ahead of print.
ABSTRACT
Precision Medicine (PM) is a transformative clinical medicine strategy that aims to revolutionize healthcare by leveraging biological information and biomarkers. In the context of maternal and neonatal health, PM enables personalized care from preconception through the postnatal period. Qatar has emerged as a key player in PM research, with dedicated programs driving advancements and translating cutting-edge research into clinical applications. This article delves into neonatal and maternal health in Qatar, emphasizing PM programs and initiatives that have been implemented. It also features noteworthy clinical cases that demonstrate the effectiveness of precision interventions. Furthermore, the article highlights the role of pharmacogenomics in addressing various maternal health conditions. The review further explores potential advancements in the application of PM in maternal and neonatal healthcare in Qatar.
PMID:39347749 | DOI:10.1080/17410541.2024.2394397
A systematic review of single nucleotide polymorphisms affecting allopurinol pharmacokinetics and serum uric acid level
Pharmacogenomics. 2024 Sep 30:1-16. doi: 10.1080/14622416.2024.2403969. Online ahead of print.
ABSTRACT
Aim: To summarize the effects of single nucleotide polymorphisms (SNPs) on the pharmacokinetics of allopurinol to control uric acid levels.Methods: A comprehensive search was conducted in PubMed, Web of Science and Scopus databases from inception to January 2024, includes 17 articles focusing on SNPs and pharmacokinetics of allopurinol and oxypurinol.Results: A total of 11 SNPs showed a significant association with pharmacokinetics of allopurinol and oxypurinol, as well as their potential clinical implications.Conclusion: SNPs in ATP-binding cassette super-family G member 2 (ABCG2), solute carrier family 2 member 9 (SLC2A9), solute carrier family 17 member 1 (SLC17A1), solute carrier family 22 member 12 (SLC22A12), solute carrier family 22 member 13 (SLC22A13) and PDZ domain containing 1 (PDZK1) genes were associated with allopurinol clearance, while SNPs in aldehyde oxidase 1 (AOX1) genes involved in metabolism of allopurinol. SNPs in gremlin 2, DAN family BMP antagonist (GREM2) gene impacted uric acid control, but the specific mechanism governing the expression of GREM2 remains unknown. Our study indicated that the identified SNPs show contradictory effects, reflecting inconsistencies and differences observed across various studies.
PMID:39347581 | DOI:10.1080/14622416.2024.2403969
Review of pharmacogenetics of antiseizure medications: focusing on genetic variants of mechanistic targets
Front Pharmacol. 2024 Aug 20;15:1411487. doi: 10.3389/fphar.2024.1411487. eCollection 2024.
ABSTRACT
Antiseizure medications (ASMs) play a central role in seizure management, however, unpredictability in the response to treatment persists, even among patients with similar seizure manifestations and clinical backgrounds. An objective biomarker capable of reliably predicting the response to ASMs would profoundly impact epilepsy treatment. Presently, clinicians rely on a trial-and-error approach when selecting ASMs, a time-consuming process that can result in delays in receiving alternative non-pharmacological therapies such as a ketogenetic diet, epilepsy surgery, and neuromodulation therapies. Pharmacogenetic studies investigating the correlation between ASMs and genetic variants regarding their mechanistic targets offer promise in predicting the response to treatment. Sodium channel subunit genes have been extensively studied along with other ion channels and receptors as targets, however, the results have been conflicting, possibly due to methodological disparities including inconsistent definitions of drug response, variations in ASM combinations, and diversity of genetic variants/genes studied. Nonetheless, these studies underscore the potential effect of genetic variants on the mechanism of ASMs and consequently the prediction of treatment response. Recent advances in sequencing technology have led to the generation of large genetic datasets, which may be able to enhance the predictive accuracy of the response to ASMs.
PMID:39228521 | PMC:PMC11368862 | DOI:10.3389/fphar.2024.1411487
<em>In vitro</em> assessment of the risk of ABCB1-mediated drug-drug interaction between rivaroxaban and tacrolimus in human embryonic kidney 293 recombinant cell lines
Res Pract Thromb Haemost. 2024 Jul 22;8(5):102521. doi: 10.1016/j.rpth.2024.102521. eCollection 2024 Jul.
ABSTRACT
BACKGROUND: In lung transplant patients, direct oral anticoagulants are often taken in combination with immunosuppressive drugs such as tacrolimus. Since tacrolimus is a substrate and inhibitor of the efflux protein ABCB1, also transporting direct oral anticoagulants, a possible drug-drug interaction mediated by competition for this transporter needs to be investigated.
OBJECTIVES: To determine the in vitro effect of tacrolimus on ABCB1-mediated rivaroxaban transport in order to support clinician practice.
METHODS: Recombinant cell line models, based on human embryonic kidney 293 cells, were generated by a stable transfection process to overexpress ABCB1 or not (control cells). The impact of tacrolimus on ABCB1-mediated rivaroxaban transport was assessed by accumulation experiments.
RESULTS: ABCB1 expression decreased the cellular accumulation of rivaroxaban and tacrolimus at their respective clinically relevant concentrations when compared with control cells. This confirms the involvement of ABCB1 in the active transport of tacrolimus and rivaroxaban. However, tacrolimus had no significant influence on rivaroxaban disposition at those clinically relevant concentrations.
CONCLUSION: Our study does not provide evidence for a possible interaction between tacrolimus and rivaroxaban when used together in practice.
PMID:39228433 | PMC:PMC11369460 | DOI:10.1016/j.rpth.2024.102521
Editorial: Utilization of pharmacogenomics in clinical practice
Front Genet. 2024 Aug 20;15:1470698. doi: 10.3389/fgene.2024.1470698. eCollection 2024.
NO ABSTRACT
PMID:39228415 | PMC:PMC11368833 | DOI:10.3389/fgene.2024.1470698
Engineered Cas9 variants bypass Keap1-mediated degradation in human cells and enhance epigenome editing efficiency
Nucleic Acids Res. 2024 Sep 4:gkae761. doi: 10.1093/nar/gkae761. Online ahead of print.
ABSTRACT
As a potent and convenient genome-editing tool, Cas9 has been widely used in biomedical research and evaluated in treating human diseases. Numerous engineered variants of Cas9, dCas9 and other related prokaryotic endonucleases have been identified. However, as these bacterial enzymes are not naturally present in mammalian cells, whether and how bacterial Cas9 proteins are recognized and regulated by mammalian hosts remain poorly understood. Here, we identify Keap1 as a mammalian endogenous E3 ligase that targets Cas9/dCas9/Fanzor for ubiquitination and degradation in an 'ETGE'-like degron-dependent manner. Cas9-'ETGE'-like degron mutants evading Keap1 recognition display enhanced gene editing ability in cells. dCas9-'ETGE'-like degron mutants exert extended protein half-life and protein retention on chromatin, leading to improved CRISPRa and CRISPRi efficacy. Moreover, Cas9 binding to Keap1 also impairs Keap1 function by competing with Keap1 substrates or binding partners for Keap1 binding, while engineered Cas9 mutants show less perturbation of Keap1 biology. Thus, our study reveals a mammalian specific Cas9 regulation and provides new Cas9 designs not only with enhanced gene regulatory capacity but also with minimal effects on disrupting endogenous Keap1 signaling.
PMID:39228373 | DOI:10.1093/nar/gkae761