CYP3A5 influences oral tacrolimus pharmacokinetics and timing of acute kidney injury following allogeneic hematopoietic stem cell transplantation

Seligson, Nathan D.; Zhang, Xunjie; Zemanek, Mark C.; Johnson, Jasmine A.; VanGundy, Zachary; Wang, Danxin; Phelps, Mitch A.; Roddy, Julianna; Hofmeister, Craig C.; Li, Junan; Poi, Ming J.

doi:10.3389/fphar.2023.1334440

Cited by 2 publications

(1 citation statement)

References 67 publications

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“…PLAT (plasminogen activator, tissue type) [325] and ALB (albumin) [326] might be involved in the occurrence and development of hypertension. BMI1 [327], AMH (anti-Mullerian hormone) [328], E2F1 [329], PF4 [330], VASH2 [331], GRIN1 [332], CYP11B2 [333], COMP (cartilage oligomeric matrix protein) [334], DES (desmin) [335], ANGPTL3 [336], CYP3A5 [337], DPEP1 [338], LRP2 [339], AGXT2 [340], FABP1 [341], SLC22A12 [342], CUBN (cubilin) [343], MIOX (myo-inositol oxygenase) [344], ARG2 [345], KHK (ketohexokinase) [346], CYP2C8 [347], SLC2A9 [348], GC (GC vitamin D binding protein) [349], VNN1 [350], NOX4 [351], EPHX2 [352], AKR1C3 [353], NR4A3 [354], PFKFB2 [355], SLC22A6 [356], F11 [357], SLC22A2 [358], AQP2 [171], EGF (epidermal growth factor) [359], KNG1 [360], SERPINA5 [361], KL (klotho) [362], ACE2 [363], NPNT (nephronectin) [364], SLC47A1 [358], MGAM (maltase-glucoamylase) [365], AQP3 [366], AZGP1 [367], GALNT3 [368], DPP4 [369], STC1 [370], ABCB1 [371], ERRFI1 [372], TREH (trehalase) [373], MANBA (mannosidase beta) [374], ERBB4 [375], VCAM1 [376] and ALB (albumin) [377] might play an important role in the pathophysiology of AKI. BMI1 [378], IGF2 [379], PRKCB (protein kinase C beta) [380], CCL5 [381], E2F1 [382], PF4 [111], CYP11B2 [383], WNT3A [384], COMP (cartilage oligomeric matrix protein) [385], DES (desmin) [335], ANGPTL3 [386], CYP3A5 [387], LRP2 [388], PAH (phenylalanine hydroxylase) [389], HMGCS2 [390]...…”

Section: Discussionmentioning

confidence: 99%

Identification of novel prognostic targets in acute kidney injury using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

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Acute kidney injury (AKI) is a type of renal disease occurs frequently in hospitalized patients, which may cause abnormal renal function and structure with increase in serum creatinine level with or without reduced urine output. With the incidence of AKI is increasing. However, the molecular mechanisms of AKI have not been elucidated. It is significant to further explore the molecular mechanisms of AKI. We downloaded the GSE139061 next generation sequencing (NGS) dataset from the Gene Expression Omnibus (GEO) database. Limma R bioconductor package was used to screen the differentially expressed genes (DEGs). Then, the enrichment analysis of DEGs in Gene Ontology (GO) function and REACTOME pathways was analyzed by g:Profiler. Next, the protein-protein interaction (PPI) network and modules was constructed and analyzed, and the hub genes were identified. Next, the miRNA-hub gene regulatory network and TF-hub gene regulatory network were built. We also validated the identified hub genes via receiver operating characteristic (ROC) curve analysis. Overall, 956 DEGs were identified, including 478 up regulated and 478 down regulated genes. The enrichment functions and pathways of DEGs involve primary metabolic process, small molecule metabolic process, striated muscle contraction and metabolism. Topological analysis of the PPI network and module revealed that hub genes, including PPP1CC, RPS2, MDFI, BMI1, RPL23A, VCAM1, ALB, SNCA, DPP4 and RPL26L1, might be involved in the development of AKI. miRNA-hub gene and TF-hub gene regulatory networks revealed that miRNAs and TFs including hsa-mir-510-3p, hsa-mir-6086 and mir-146a-5p, MAX and PAX2, might be involved in the development of AKI. Various known and newtherapeutic targets were obtained via network analysis. The results of the current investigation might be beneficial for the diagnosis and treatment of AKI.

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Section: Discussionmentioning

confidence: 99%

Identification of novel prognostic targets in acute kidney injury using bioinformatics and next generation sequencing data analysis

Vastrad,

Vastrad

2024

Preprint

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CYP3A4 and CYP3A5: the crucial roles in clinical drug metabolism and the significant implications of genetic polymorphisms

Zhang,

Wang,

Wang

et al. 2024

PeerJ

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CYP3A, a key member of the cytochrome P450 (CYP450) superfamily, is integral to drug metabolism, processing a substantial portion of medications. Their role in drug metabolism is particularly prominent, as CYP3A4 and CYP3A5 metabolize approximately 30–50% of known drugs. The genetic polymorphism of CYP3A4/5 is significant inter-individual variability in enzymatic activity, which can result in different pharmacokinetic profiles in response to the same drug among individuals. These polymorphisms can lead to either increased drug toxicity or reduced therapeutic effects, requiring dosage adjustments based on genetic profiles. Consequently, the study of the enzymatic activity of CYP3A4/5 gene variants is of great importance for the formulation of personalized treatment regimens. This article first reviews the role of CYP3A4/5 in drug metabolism in the human body, including inhibitors and inducers of CYP3A4/5 and drug-drug interactions. In terms of genetic polymorphism, it discusses the detection methods, enzymatic kinetic characteristics, and clinical guidelines for CYP3A5. Finally, the article summarizes the importance of CYP3A4/5 in clinical applications, including personalized therapy, management of drug-drug interactions, and adjustment of drug doses. This review contributes to the understanding of the functions and genetic characteristics of CYP3A4/5, allowing for more effective clinical outcomes through optimized drug therapy.

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CYP3A5 influences oral tacrolimus pharmacokinetics and timing of acute kidney injury following allogeneic hematopoietic stem cell transplantation

Cited by 2 publications

References 67 publications

Identification of novel prognostic targets in acute kidney injury using bioinformatics and next generation sequencing data analysis

Identification of novel prognostic targets in acute kidney injury using bioinformatics and next generation sequencing data analysis

CYP3A4 and CYP3A5: the crucial roles in clinical drug metabolism and the significant implications of genetic polymorphisms

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