Model-Informed individualized dosage regimen of sirolimus in pediatric patients with intractable lymphatic malformations.

Intractable lymphatic malformations (iLM) pose a significant threat to affected children, demonstrating limited responses to conventional treatments. Sirolimus, effectively inhibiting endothelial cell proliferation in lymphatic vessels, plays a crucial role in iLM treatment. However, the drug's narrow therapeutic window and substantial interindividual variability necessitate customized dosing strategies. This study aims to establish a Population Pharmacokinetic Model (PopPK model) for sirolimus in pediatric iLM patients, identifying quantitative relationships between covariates and sirolimus clearance and volume of distribution. Initial dosages are recommended based on a target concentration range of 5-15 ng/mL. Retrospective data from our institution, encompassing 53 pediatric patients with 275 blood concentration results over the past five years (average age: 4.64 ± 4.19 years), constituted the foundation of this analysis. The final model, adopting a first-order absorption and elimination single-compartment model, retained age as the sole covariate. Results indicated a robust correlation between apparent clearance (CL/F) at 5.56 L/h, apparent volume of distribution (V/F) at 292.57 L, and age. Monte Carlo simulation guided initial dosages for patients aged 0-18 years within the target concentration range. This study presents the first PopPK model using a large Therapeutic Drug Monitoring (TDM) database to describe personalized sirolimus dosing for pediatric iLM patients, contributing to pharmacokinetic guidance and potentially improving long-term clinical outcomes.

Clinical value of genetic polymorphism analysis of hypertension drugs for individualized treatment of hypertension patients in the southern Anhui region / 中国临床药理学与治疗学

AIM: To analyze the distribution frequency of gene polymorphisms of β receptor blockers, angiotensin receptor antagonists, angiotensin converting enzyme inhibitors, calcium antagonists, and diuretics in hypertensive patients from southern Anhui province, and provide a theoretical basis for gene detection of hypertension drugs and personalized medication. METHODS: Drug gene testing information from 839 hospitalized patients with hypertension at Yijishan Hospital of Wannan Medical College from July 2021 to April 2023 were collected, and the distribution frequency of each gene locus were analyzed. RESULTS: The genotype frequencies of ACE (I/D) I/I, I/D, and D/D were 42.1%, 46.0%, and 11.9%, respectively. the genotype frequencies of ADRB1 (1165G>C) G/G, G/C, and C/C were 8.3%, 40.0%, and 51.6%, respectively. The genotype frequencies of AGTR1 (1166A>C) A/A, A/C, and C/C were 90.2%, 9.8%, and 0.0%. The genotype frequencies of CYP2C9*3 (1075A>C) *1/*1, *1/*3, and *3/*3 were 91.3%, 8.7%, and 0.0%, respectively; the genotype frequencies of CYP2D6* 10 (100C > T) *1/*1, *1/*10, and *10/*10 were 25.0%, 36.6%, and 38.4%, respectively. The genotype frequencies of CYP3A5*3 (6986A>G) *1/*1, *1/*3, and *3/*3 were 7.0%, 39.0%, and 54.0%, respectively. The frequencies of NPPA (2238T>C) T/T, T / C, and C / C genotypes were 97.9%, 2.1%, and 0.0%, respectively. In addition, there was a significant difference in the genotype distribution frequency of multiple drug related gene loci in southern Anhui compared to other regions in China (P< 0.05). CONCLUSION: The genotype distribution frequency of hypertensive drug related gene loci had certain bias in southern Anhui, and were significant different from other regions in China, indicating that conducting genetic polymorphism testing of hypertensive drugs had certain guiding significance for the individualized application of hypertensive drugs in southern Anhui.

Study on the association between adverse drug reactions to opioids and gene polymorphisms: a case-case-control study.

OBJECTIVE: Adverse drug reactions (ADRs) caused by opioid drugs show individual differences. Our objective was to explore the association between gene polymorphism and ADRs induced by opioid drugs. METHODS: Evidence-based medical data analysis was conducted for genes related to ADRs induced by opioid drugs to select target genes. Sixty patients with cancer pain who had ADRs after taking opioid drugs (morphine, codeine, oxycodone) and 60 patients without ADRs after taking opioid drugs were used as the experimental group and control group, respectively. Then, we used polymerase chain reaction (PCR) or in situ hybridization to detect target genes. By combining with clinical data such as age, sex, dosage and duration of medication, the effect of gene polymorphism on the ADR of patients after taking opioid drugs was statistically analysed. RESULTS: Based on a database search and evidence-based medical data, we identified CYP2D6*10, CYP3A5*3, ABCB1, and OPRM1 as target genes for detection. The results of statistical analysis showed no significant difference in genotype distribution between the experimental group and the control group (p > 0.05). However, if 32 patients with ADRs after taking oxycodone and 32 controls were selected for comparison, the SPSS22.0 and SNPStats genetic models showed that the ABCB1 (062rs1045642) CT and TT genotypes correlated with the occurrence of ADRs (p < 0.05): the total number of CT + TT genotypes in the experimental group was 29 (90.62%), with 11 (34.37%) CT + TT genotypes types in the control group. CONCLUSION: Polymorphism of ABCB1 (062rs1045642) is related to ADRs caused by oxycodone, and the incidence of ADRs is higher with the allele T. Polymorphism of ABCB1 is expected to become a clinical predictor of ADRs to oxycodone, and attention should be given to the occurrence of serious ADRs in patients with ABCB1 (062rs1045642) CT and TT genotypes.

Therapeutic Drug Monitoring of Imatinib and N-Desmethyl Imatinib in Chronic Myeloid Leukemia Patients Using LC-MS/MS in a Cohort Study.

Imatinib is an oral tyrosine kinase inhibitor (TKI) and first-line therapy for patients with chronic myeloid leukemia (CML). There is a positive correlation between serum imatinib concentrations and treatment response. However, the specific relationship between the blood concentration of imatinib and its influencing factors remains unclear. This study collected basic information from 102 patients using imatinib as first-line treatment for CML. Further, we analyzed the individual differences in imatinib concentration and explored its influencing factors. Through intra-day and inter-day precision studies, we found that the precision for the imatinib assay methodology was within ±13% and that the recovery rate was above 85%. There is notable individual variation in the blood concentration of imatinib; the recommended treatment concentration is 860-1500 ng/mL, with only 41.40% of patients achieving this concentration. Also, there was a negative correlation between age and imatinib trough concentration (Ctrough ), as is observed between age and N-desmethyl imatinib. Moreover, compared with the adolescent group, the serum imatinib Ctrough for groups aged 17-47 and 48-68 years was significantly reduced. Further analysis shows that imatinib Ctrough values reaching therapeutic concentrations (59%) increased dramatically for patients with CML aged 17-47 years. Moreover, groups dosed with 400 mg/day resulted in therapeutic imatinib concentrations for 68% of patients with CML, which was the best performance. The established method was validated, with acceptable accuracy, precision, linearity, and stability, as required, and then successfully applied to the therapeutic drug monitoring of imatinib. Age, dose, and metabolites can influence the imatinib concentration and its therapeutic effect in patients with CML.

Targeting the gut microbiota to alleviate chemotherapy-induced toxicity in cancer.

Despite ongoing breakthroughs in novel anticancer therapies, chemotherapy remains a mainstream therapeutic modality in different types of cancer. Unfortunately, chemotherapy-related toxicity (CRT) often leads to dose limitation, and even results in treatment termination. Over the past few years, accumulating evidence has indicated that the gut microbiota is extensively engaged in various toxicities initiated by chemotherapeutic drugs, either directly or indirectly. The gut microbiota can now be targeted to reduce the toxicity of chemotherapy. In the current review, we summarized the clinical relationship between the gut microbiota and CRT, as well as the critical role of the gut microbiota in the occurrence and development of CRT. We then summarized the key mechanisms by which the gut microbiota modulates CRT. Furthermore, currently available strategies to mitigate CRT by targeting the gut microbiota were summarized and discussed. This review offers a novel perspective for the mitigation of diverse chemotherapy-associated toxic reactions in cancer patients and the future development of innovative drugs or functional supplements to alleviate CRT via targeting the gut microbiota.

Age-based factors modulating the required thyroxine dose to achieve thyrotropin suppression in intermediate-and high-risk papillary thyroid cancer.

Background: Guidelines widely recommend thyrotropin suppression to reduce the risk of recurrence in intermediate- and high-risk papillary thyroid cancer (PTC) after total thyroidectomy. However, an insufficient or excessive dosage may result in a number of symptoms/complications especially in older patients. Patients and methods: We constructed a retrospective cohort including 551 PTC patient encounters. Using propensity score matching and logistic regression models, we determined the independent risk factors affecting levothyroxine therapy at different ages. Our outcomes included: expected TSH level and an unexpected TSH level, which was based on the initial thyroid-stimulating hormone (TSH) goal< 0.1 mIU/L with usual dosage of L-T4 (1.6 µg/kg/day). Results: From our analysis, more than 70% of patients undergoing total thyroidectomy did not achieve the expected TSH level using an empirical medication regimen, and the effect of the drug was affected by age (odds ratio [OR], 1.063; 95% CI, 1.032-1.094), preoperative TSH level (OR, 0.554; 95% CI, 0.436-0.704) and preoperative fT3 level (OR, 0.820; 95% CI, 0.727-0.925). In patients with age < 55 years old, preoperative TSH level (OR, 0.588; 95% CI, 0.459-0.753), and preoperative fT3 level (OR, 0.859; 95% CI, 0.746-0.990) were two independent protective factors, while, in patients with age ≥ 55 years old, only preoperative TSH level (OR, 0.490; 95% CI, 0.278-0.861) was the independent protective factors to achieve expected TSH level. Conclusion: Our retrospective analysis suggested the following significant risk factors of getting TSH suppression in PTC patients: age (≥55 years), lower preoperative TSH and fT3 levels.

Study on the correlation between opioid-induced constipation and gene polymorphism / 中国药房

OBJECTIVE To investigate the effect of gene polymorphism on opioid-induced constipation. METHODS The target genes related to opioid-induced constipation were screened out through searching guidelines， databases and evidence-based medical data， and then 100 cancer pain patients who received opioid drugs for analgesia were included as the study subjects. According to whether there were adverse effects of constipation after medication or not， they were divided into test group and control group， with 50 cases in each group. The target gene was detected by PCR or fluorescence in situ hybridization. The SNPStats program was used to carry out Hardy-Weinberg balance test and correlation analysis between gene polymorphism and opioid-induced constipation. The multivariate Logistic regression analysis was used to explore the relevant predictive factors of opioid-induced constipation， and receiver operating characteristic （ROC） curve of subjects was drawn to analyze the effectiveness of each predictive factor in predicting opioid-induced constipation. RESULTS CYP2D6， CYP3A5*3， ABCB1 and OPRM1 were selected as target genes for detection. The results of genotype detection showed that the frequency distribution of CYP2D6 （rs1065852， rs1135822， rs16947， rs28371725， rs28371735）， CYP3A5*3 （058rs776746）， ABCB1 （062rs1045642）， OPRM1 （047rs1799971） alleles were consistent with Hardy-Weinbergbalance test. The correlation analysis results showed that the proportion of genotype GG and AG in CYP3A5*3 （058rs776746， 163.com A＞G） and genotype AA and AG in OPRM1 （047rs1799971， A＞G） of patients was significantly higher in test group than that in the control group （P＜0.05）. Multivariate Logistic regression analysis showed that medication duration， CYP3A5*3 and OPRM1 gene polymorphism could be used as predictors of opioid- induced constipation in patients （P＜0.05）. The ROC curve analysis results showed that the areas under the ROC curves for medication duration and CYP3A5*3， OPRM1 gene polymorphism were 0.648， 0.640 and 0.670， respectively， with the optimal cutoff values of 124.0， 0.5 and 0.5， respectively. CONCLUSIONS Genotype GG and AG in CYP3A5*3 （058rs776746，A＞G） and genotype AA and AG in OPRM1 （047rs1799971，A＞G） are associated with opioid-induced constipation， which are expected to become clinical predictors of opioid-induced constipation， and more attention should be paid to the occurrence of constipation in patients who have been taking opioids for a long time.

Metabolic, genetic, and pharmacokinetic parameters for the prediction of olanzapine efficacy.

Clinical use of the a olanzapine has significantly different individual-to-individual outcomes. Accordingly, this study aimed to develop a means of predicting response to olanzapine using a combined approach based on pharmacokinetics, pharmacometabonomics, and genetic polymorphism. The olanzapine pharmacokinetics of 19 healthy volunteers treated with orally disintegrating tablets were determined using high-performance liquid chromatography-tandem mass spectrometry. Metabolic profiling and phenotyping were performed on the blood samples that remained after pharmacokinetic analysis using ultrahigh-performance liquid chromatography coupled with high-resolution mass spectrometry. Uridine diphosphate-glucuronosyltransferase (UGT), tyrosine hydroxylase (TH), γ-aminobutyric acid transaminase (GABA-T), and succinic semialdehyde dehydrogenase (SSADH) were identified as key genes. The single nucleotide polymorphism genotypes most related to drug metabolism were investigated by polymerase chain reaction and Sanger sequencing. Forty-one metabolites (p < 0.05) are increased or decreased after treatment with olanzapine. Tryptophan metabolism, norepinephrine metabolism, and γ-aminobutyric acid metabolism were identified as being related to the effects of olanzapine. Subjects carrying rs1641031 AC and CC exhibited a 59.2% increase in the mean peak concentration (Cmax) value and a 25.33% decrease in the mean oral clearance rate (CL/F) value, compared to that in subjects with the GABA-T rs1641031 AA genotype (p < 0.05). Moreover, polymorphism of the GABA-T gene has an impact on the metabolism of 5-hydroxytryptamine. Lysophosphatidylethanolamine (0:0/18:3), lysophosphatidylethanolamine (0:0/22:5), and octadecatrienoic acid distinguish subjects with high and low olanzapine drug oral clearance and are thus identified as biomarkers for predicting its efficacy.

Predicting Lapatinib Dose Regimen Using Machine Learning and Deep Learning Techniques Based on a Real-World Study.

Lapatinib is used for the treatment of metastatic HER2(+) breast cancer. We aim to establish a prediction model for lapatinib dose using machine learning and deep learning techniques based on a real-world study. There were 149 breast cancer patients enrolled from July 2016 to June 2017 at Fudan University Shanghai Cancer Center. The sequential forward selection algorithm based on random forest was applied for variable selection. Twelve machine learning and deep learning algorithms were compared in terms of their predictive abilities (logistic regression, SVM, random forest, Adaboost, XGBoost, GBDT, LightGBM, CatBoost, TabNet, ANN, Super TML, and Wide&Deep). As a result, TabNet was chosen to construct the prediction model with the best performance (accuracy = 0.82 and AUC = 0.83). Afterward, four variables that strongly correlated with lapatinib dose were ranked via importance score as follows: treatment protocols, weight, number of chemotherapy treatments, and number of metastases. Finally, the confusion matrix was used to validate the model for a dose regimen of 1,250 mg lapatinib (precision = 81% and recall = 95%), and for a dose regimen of 1,000 mg lapatinib (precision = 87% and recall = 64%). To conclude, we established a deep learning model to predict lapatinib dose based on important influencing variables selected from real-world evidence, to achieve an optimal individualized dose regimen with good predictive performance.

Integrating Multidisciplinary Individualized Medication Recommendations Into the Traditional Pharmacists' Consultation Method: A Retrospective Study Using Propensity Score Matching Analysis.

Chinese clinical pharmacists consider improving the quantity and quality of consultations to be an important task in providing better pharmaceutical care. To achieve this goal, we developed a clinical pharmacist consultation method using multidisciplinary individualized medication recommendations (MIMRs) and studied the effects of its implementation. A retrospective study of 812 clinical pharmacist-led consultations was conducted. In the pre-intervention group, medication advice was given based on the purpose of the consultation. In the post-intervention group, a consultation method using MIMRs was implemented, in which clinical pharmacists with specialties in anticoagulation, gastroenterology, and nutrition were asked to give individualized medication recommendations. Outcomes, including the effectiveness rate of consultations (ERC) and acceptance rate of consultations (ARC), were compared between the two groups using propensity score matching method. Patterns and numbers of consultations and individualized medication recommendations were also compared. The results showed that the ERC in the post-intervention group compared with the ERC in the pre-intervention group was 83.3% vs 74.0%, respectively (P < .05). Significant difference was also shown between the two groups in ARC (98.4% vs 92.2%, P < .05). The total number of consultations increased, as did the number of general consultations, multidisciplinary/difficult consultations, anti-infection consultations, and non-anti-infection consultations specifically. As a result, we proposed that the implementation of MIMRs can improve the effects of treatment and increase the number of consultations by pharmacists, which is worthy of further promotion to better serve physicians and patients.

Osimertinib-Centered Therapy Against Uncommon Epidermal Growth Factor Receptor-Mutated Non-Small-Cell Lung Cancer- A Mini Review.

Osimertinib is a third-generation, irreversible mutant epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor that is approved by the U.S. Food and Drug Administration (FDA) and European Medicines Agency (EMA). Osimertinib is currently the first line drug recommended by National Comprehensive Cancer Network (NCCN) guidelines against lung cancer harboring the EGFR TKI-sensitive mutation and acquired EGFR T790M resistance mutation. Osimertinib demonstrated some efficacy in clinical trials and case reports in patients bearing certain uncommon EGFR mutations, but it is not active in patients with other mutations such as C797S. This mini-review presents the mechanisms underlying the variations in patient responses, discusses the use of osimertinib against non-small-cell lung carcinomas with uncommon EGFR mutations, and addresses the future prospects of osimertinib-centered therapy.

Advances in population pharmacokinetics-pharmacodynamics of caspofungin / 中国药房

Caspofungin is the firs t echinocandin antifungal drug approved for serious fungal infections caused by Candida or Aspergillus. Currently ，caspofungin has been recommended as the first-line treatment for invasive Candida and the second-line treatment for invasive Aspergillus，for its safety and tolerability. However ，there are still probability of pharmacokinetic variability and the risk of low exposure in different populations. Herein the population pharmacokinetics-pharmacodynamics studies of caspofungin in children and adults were reviewed. The results indicate that the body surface area was the main factor affecting the distribution and clearance of caspofungin in pediatric patients. In adults ，the two-compartment model fits the caspofungin behavior best in vivo with the primary covariates of body weight and albumin level. The efficacy of caspofungin might be related to pharmacokinetics-pharmacodynamics parameters ，such as the ratio of area under blood concentration time curve to minimum inhibitory concentration （AUC/MIC），the ratio of peak concentration to minimum effective concentration （cmax/MEC）.

Distribution of CYP2C9∗3 and VKORC1-1639G>A gene polymorphism in Anhui Han population and their influence on the stable dose of warfarin / 中国临床药理学与治疗学

AIM: To study the distribution of CYP2C9∗3 and VKORC1-1639G>A gene polymorphism in Han population in Anhui province and their influence on the stable dose of warfarin. METHODS: The blood samples of 1 169 patients from 6 tertiary general hospitals in 5 areas of Anhui province from January 2020 to December 2021 were selected, the genotype of CYP2C9∗3 and VKORC1-1639G>A was detected by fluorescent staining in situ hybridization technique. RESULTS: The distribution of CYP2C9∗3 genotypes in 1 169 patients: the frequencies of AA, AC and CC genes were 90.16%, 9.24% and 0.60%, respectively; The distribution of VKORC1 genotype: the frequencies of AA, AG and GG genes were 84.26%, 14.71% and 1.03% respectively; There was no significant difference between the two genotypes in gender, age and regional distribution (P>0.05). The average daily warfarin dose of CYP2C9∗3 AA genotype in 755 patients with stable warfarin dose was (3.02±0.59) mg/d, which was significantly higher than patients with AC genotype and CC genotype; The average daily warfarin dose of patients with VKORC1-1639AA genotype was (2.72±0.40) mg/d, which was significantly lower than that of patients with AG genotype and GG genotype (P<0.05). And the difference was statistically significant (P<0.05); There are significant differences in gender, age and clinical diagnosis between patients with stable dose of warfarin and those without stable dose (P<0.05). CONCLUSION: CYP2C9 and VKORC1 genotypes are associated with the stable dose of warfarin. Clinical anticoagulation therapy guided by CYP2C9 and VKORC1 genotypes can provide guidance for individualized medication of warfarin.

Population pharmacokinetics of teicoplanin in patients with renal insufficiency / 中国临床药理学与治疗学

AIM: To analyze the effect of influential factors on the estimation of pharmacokinetic parameters of teicoplanin, this study was proposed to develop the population pharmacokinetic (PPK) model of teicoplanin in patients with renal insufficiency. METHODS: A total of 66 routine blood teicoplanin concentration monitoring data were collected from 46 cases with renal insufficiency, and a nonlinear mixed effect modeling program was used to establish one-compartment model with Monolix 2021R1 software. Furthermore, 20 routine blood teicoplanin concentration monitoring data were also collected from the other 20 cases with renal insufficiency, and the external validation of the model was performed by goodness-of-fit parameter method. RESULTS: The one compartment model was an appropriate model for simulating the pharmacokinetics of teicoplanin in patients with renal insufficiency. The typical values of apparent volume of distribution and clearance rate were 148.9 L and 0.13 L/h, respectively. Glomerular filtration rate and body weight, instead of other factors, were the primary variables that affected the elimination of teicoplanin in vivo. CONCLUSION: The population pharmacokinetic model of teicoplanin established in the present study was effective and stable, which could also predict the dynamic change of teicoplanin concentration. As a result, the population pharmacokinetic model could provide references for the rational use of teicoplanin in special populations.

The efficacy and toxicity of antineoplastic antimetabolites: Role of gut microbiota.

The incidence and mortality of cancer are rapidly growing all over the world. Nowadays, antineoplastic antimetabolites still play a key role in the chemotherapy of cancer. However, the interindividual variations in the efficacy and toxicity of antineoplastic antimetabolites are nonnegligible challenges to their clinical applications. Although many studies have focused on genetic variation, the reasons for these interindividual variations have still not been fully understood. Gut microbiota is reported to be associated with the efficacy and toxicity of antineoplastic antimetabolites. In this review, we summarize the interaction of antineoplastic antimetabolites on gut microbiota and the influences of shifted gut microbiota profiles on the efficacy and toxicity of antineoplastic antimetabolites. The factors affecting the efficacy and toxicity of antineoplastic antimetabolites via gut microbiota are also discussed. In addition, we present our viewpoints that regulating the gut microbiota may increase the efficacy and decrease the toxicity of antineoplastic antimetabolites. This will help us better understand the new mechanism via gut microbiota and promote individualized use of antineoplastic antimetabolites.

Studies on the intracellular accumulation process of methotrexate and its correlation with the key protein using an LC-MS/MS method: a novel way to realize prospective individualized medication.

High-dose methotrexate (HDMTX) combined with leucovorin (LV) is the first-line drug therapy for many kinds of malignant tumors. However, the specific treatment plans, such as dosage and duration of administration, are usually formulated according to the clinician's experience and therapeutic drug monitoring (TDM) of methotrexate in patients' plasma, which are responsible for strong individual differences of drug usage. A large number of studies have shown that methotrexate targets the inside of the cell. The key cytotoxic component is the methotrexate polyglutamates (MTXPGs) in the cell. The concentration of methotrexate in plasma does not reflect the efficacy and side effects well. Based on mass spectrometry technology, we developed and validated an accurate, sensitive, and stable method to quantify the intracellular MTX (MTXPG1) and its metabolites MTXPG2-7 simultaneously. The lower limit of quantification was 0.100 ng/ml, and the run time was only 3 min. Moreover, our team has already developed two LC-MS/MS-based methods to respectively quantify methotrexate in plasma samples and two key proteins (γ-glutamyl hydrolase [GGH] and folylpolyglutamate synthetase [FPGS]) in peripheral blood mononuclear cells (PBMC). Through these highly sensitive and accurate approaches, we have gained a deep understanding of the whole pharmacokinetic process of MTX and explored the key factors affecting the accumulation process of intracellular active components (MTXPGs). Based on this research, it is possible to find a more effective way to provide an accurate reference for clinical drug use than traditional therapeutic drug monitoring (TDM).

Correlation between CYP2C19 gene polymorphism and individualized medication in patients with ischemic stroke / 中国临床药理学与治疗学

AIM: To investigate the guiding role of individualized medication adjustment based on CYP2C19 metabolic typing in the treatment of ischemic stroke with clopidogrel, and to provide reference for clinical individualized medication. METHODS: The total of 80 patients with ischemic stroke were divided into the individualized drug instruction group with gene detection (n=40) and the control group without gene detection (n=40) according to whether they received CYP2C19 gene detection. According to the metabolism of CYP2C19, the individualized medication instruction group was divided into slow metabolic type, intermediate metabolic type, fast metabolic type and ultra-fast metabolic type. Patients with fast and ultra-fast metabolites were given clopidogrel dose of 75 mg once a day. Patients with intermediate metabolic type were given double clopidogrel dose of 150 mg once a day. Patients with slow metabolism were given tigrillo dose of 90 mg twice a day or aspirin dose of 100 mg once a day. The control group received 75 mg clopidogrel once a day. All patients enrolled in the groups were followed up for 3 months by outpatients or telephone. The incidence of vascular events and mRS scale scores were compared between the two groups. RESULTS: The incidence of vascular events in the individualized drug instruction group was significantly lower than that in the control group, and the incidence of mRS score(0-1) was significantly higher than that in the control group, with statistically significant differences (P<0.05). CONCLUSION: The individualized medication for patients with ischemic stroke by CYP2C19 gene detection can significantly reduce the incidence of adverse vascular events and improve the prognosis and living ability of patients.

Analysis of Distribution of Chemotherapy Drug-Related Single Nucleotide Polymorphisms in Cancer Patients / 中国药学杂志

OBJECTIVE: To explore the distribution characteristics of chemotherapy drug-related single nucleotide polymorphisms(SNPs) in cancer patients in our hospital, and to provide the clinical reference for clinical pharmacists to guide the individualized therapy of cancer patients based on SNPs. METHODS: Fluorescence-labelled specific probes were used to detect drug-related genes by fluorescence in situ hybridization. The drug-related SNPs of cancer patients from Apr 2016 to Dec 2018 in Peking University Cancer Hospital were retrospectively analyzed. SPSS24.0 software was used to statistically analyze the difference in the frequency distribution of alleles and genotypes, and the Hardy-Weinberg equilibrium test. The distribution characteristics of related gene loci in cancer patients in our hospital regarding the genotype frequency of different populations were studied. RESULTS: A total of 17 chemotherapy drug-related gene loci were detected in 2 554 patients. CYP2D6(100C>T) and ABCB1(2677T>G) were not consistent with Hardy-Weinberg equilibrium, while the remaining 15 loci were in Hardy-Weinberg equilibrium. The allele frequencies of DPD, CYP2D6 and UGT1A1 of the Chinese population are significantly different from those of foreign population, which are consistent with internal reports. CONCLUSION: The distribution of chemotherapy drug-related SNPs in Chinese tumor patients performs its characteristics. Clinical pharmacists should provide individualized medication advisements according to chemotherapy drug-related SNPs. Based on the application of pharmacogenomics, while referring to international databases such as PharmGKB, the interpretation of SNPs of the Chinese population should be combined with the characteristics of the Chinese population, and the database of the different population cannot be fully referenced.

Therapeutic Drug Monitoring and Individualized Medication of Ribavirin / 中国药学杂志

Ribavirin is a widely used nucleoside antiviral drug. During the epidemic of coronavirus disease 2019 (COVID-19), ribavirin was recommended for empirical treatment in the Clinical Management of Human Infection with COVID-19 (trial guidance v6). However, due to the large inter-individual variations in dose-response relationship, and extremely long terminal half time, it is necessary to perform therapeutic drug monitoring and individualized dose adjustment for ribavirin in special populations. In this article, the pharmacokinetics and therapeutic drug monitoring of ribavirin in different populations are reviewed in order to provide reference for clinical rational use and individualized medication of ribavirin for treatment of COVID-19.

Study on correlation between plasma concentration of cyclosporine injection and gene polymorphism in renal transplant patients / 药学实践杂志

Objective To investigate the clinical efficacy of cyclosporine injection in subclinical or critical treatment of renal transplant patients，and to establish an individualized dosage regimen of cyclosporine injection by studying the effects of nine single nucleotide polymorphisms related to the pharmacokinetics of cyclosporine on the dose-adjusted trough concentration (C0/D′) of cyclosporine injection. Methods Blood samples and clinical data of 144 adult renal transplant patients who used cyclosporine injection were collected and recorded, then, their genotypes of CYP3A4*18B, CYP3A5*3, ABCB1 (C1236T, G2677T/A, C3435T), POR*28, PXR (C5705T, C39823T) and NFKB1-94 ins/del ATTG were determined by Sequenom MassARRAY® SNP methods. Then, the discrepancies of cyclosporine injection’s C0/D′ among the patients with different genotypes was compared and an individualized dosage regimen based on gene polymorphism of cyclosporine injection was established by using multivariate regression analysis. Results Cyclosporine injection improved serum creatinine level by 68.8% in renal transplant patients with subclinical or critical rejection, and the steady-state plasma concentration was (189.50±38.56) ng/ml. The CYP3A4*18B gene polymorphism was significantly correlated to C0/D' of cyclosporine injection, and the C0/D' of patients with *1/*1 genotype was significantly higher than patients of *18B/*18B genotype; but CYP3A5*3, ABCB1(C1236T, G2677T/A, C3435T), PXR C5705T, PXR C39823T, NFKB1-94 ins/del ATTG and POR*28 gene polymorphisms were not significantly correlated to C0/D' of cyclosporine injection. In the final regression model, hemoglobin and CYP3A4*18B gene polymorphisms were significantly correlated to C0/D' of cyclosporine injection. Conclusion Cyclosporine injection can effectively improve the serum creatinine level in patients with subclinical or critical rejection; CYP3A4*18B gene polymorphism is significantly correlated to C0/D' of cyclosporine injection.