Biotransformation and disposition characteristics of HSK7653, a novel long-acting dipeptidyl peptidase-4 inhibitor for the treatment of type 2 diabetes.

AIM: To investigate the metabolism and disposition characteristics of HSK7653 in healthy male Chinese participants. METHODS: A single oral dose of 80 µCi (25 mg) [14C]HSK7653 capsules was administered to six healthy participants, and blood, plasma, urine and faeces were collected. Quantitative and qualitative analysis was conducted to investigate the pharmacokinetics, blood-to-plasma ratio, mass balance and metabolism of HSK7653. RESULTS: The drug was well absorbed and reached a maximum concentration at 1.25 h. The drug-related components (HSK7653 and its metabolites) were eliminated slowly, with a half-life (t1/2) of 111 h. Unchanged HSK7653 contributed to more than 97% of the total radioactivity in all plasma samples. The blood-to-plasma ratio (0.573-0.845) indicated that HSK7653 did not tend to distribute into blood cells. At 504 h postdose, up to 95.9% of the dose was excreted, including 79.8% in urine and 16.1% in faeces. Most of the radioactivity (75.5% dose) in excreta was unchanged HSK7653. In addition, nine metabolites were detected in urine and faeces. The most abundant metabolite was M6-2, a dioxidation product of HSK7653, which accounted for 4.73% and 2.63% of the dose in urine and faeces, respectively. The main metabolic pathways of HSK7653 in vivo included oxidation, pyrrole ring opening and sulphonamide hydrolysation. CONCLUSION: HSK7653 was well absorbed, slightly metabolized and slowly excreted in humans. The high plasma exposure and long t1/2 of HSK7653 may contribute to its long-lasting efficacy as a long-acting dipeptidyl peptidase-4 inhibitor.

Mass balance study of [14C]SHR0302, a selective and potent JAK1 inhibitor in humans.

SHR0302, a selective JAK1 inhibitor developed by Jiangsu Hengrui Pharmaceutical Co., was intended for the treatment of rheumatoid arthritis. In this study, we evaluated the pharmacokinetics, mass balance, and metabolism of SHR0302 in six healthy Chinese male subjects after a single 8 mg (80 µCi) oral dose of [14C]SHR0302.SHR0302 was absorbed rapidly (Tmax = 0.505 h), and the average t1/2 of the SHR0302-related components in plasma was approximately 9.18 h. After an oral dose was administered, the average cumulative excretion of the radioactive components was 100.56% ± 1.51%, including 60.95% ± 11.62% in urine and 39.61% ± 10.52% in faeces.A total of 16 metabolites were identified. In plasma, the parent drug SHR0302 accounted for 90.42% of the total plasma radioactivity. In urine, SHR161279 was the main metabolite, accounting for 33.61% of the dose, whereas the parent drug SHR0302 only accounted for 5.1% of the dose. In faeces, the parent drug SHR0302 accounted for 23.73% of the dose, and SHR161279 was the significant metabolite, accounting for 5.67% of the dose. In conclusion, SHR0302-related radioactivity was mainly excreted through urine (60.95%) and secondarily through faeces (39.61%).The metabolic reaction of SHR0302 in the human body is mainly through mono-oxidation and glucuronidation. The main metabolic location of SHR0302 in the human body is the pyrrolopyrimidine ring.

Development of Physiology Based Pharmacokinetic Model to Predict the Drug Interactions of Voriconazole and Venetoclax.

PURPOSE: Venetoclax (VEN), an anti-tumor drug that is a substrate of cytochrome P450 3A enzyme (CYP3A4), is used to treat leukemia. Voriconazole (VCZ) is an antifungal medication that inhibits CYP3A4. The goal of this study is to predict the effect of VCZ on VEN exposure. METHOD: Two physiological based pharmacokinetics (PBPK) models were developed for VCZ and VEN using the bottom-up and top-down method. VCZ model was also developed to describe the effect of CYP2C19 polymorphism on its pharmacokinetics (PK). The reversible inhibition constant (Ki) of VCZ for CYP3A4 was calibrated using drug-drug interaction (DDI) data of midazolam and VCZ. The clinical verified VCZ and VEN model were used to predict the DDI of VCZ and VEN at clinical dosing scenario. RESULT: VCZ model predicted VCZ exposure in the subjects of different CYP2C19 genotype and DDI related fold changes of sensitive CYP3A substrate with acceptable prediction error. VEN model can capture PK of VEN with acceptable prediction error. The DDI PBPK model predicted that VCZ increased the exposure of VEN by 4.5-9.6 fold. The increase in VEN exposure by VCZ was influenced by subject's CYP2C19 genotype. According to the therapeutic window, VEN dose should be reduced to 100 mg when co-administered with VCZ. CONCLUSION: The PBPK model developed here could support individual dose adjustment of VEN and DDI risk assessment. Predictions using the robust PBPK model confirmed that the 100 mg dose adjustment is still applicable in the presence of VCZ with high inter-individual viability.

Metabolic disposition of the EGFR covalent inhibitor furmonertinib in humans.

Furmonertinib was designed for the treatment of non-small cell lung cancer (NSCLC) patients with EGFR T790M mutation. In this study, we investigated the metabolic disposition and mass balance in humans and tissue distribution in rats. After a single oral administration of 97.9 µCi/81.5 mg [14C]-furmonertinib mesylate to six healthy male volunteers, the absorption process of furmonertinib was fast with a tmax of total plasma radioactivity at 0.75 h. Afterward, furmonertinib was extensively metabolized, with the parent drug and active metabolite AST5902 accounting for 1.68% and 0.97% of total radioactivity in plasma. The terminal t1/2 of total radioactivity in plasma was as long as 333 h, suggesting that the covalent binding of drug-related substances to plasma proteins was irreversible to a great extent. The most abundant metabolites identified in feces were desmethyl metabolite (AST5902), cysteine conjugate (M19), and parent drug (M0), which accounted for 6.28%, 5.52%, and 1.38% of the dose, respectively. After intragastric administration of 124 µCi/9.93 mg/kg [14C]-furmonertinib to rats, drug-related substances were widely and rapidly distributed in tissues within 4 h. The concentration of total radioactivity in the lung was 100-fold higher than that in rat plasma, which could be beneficial to the treatment of lung cancer. Mass balance in humans was achieved with 77.8% of the administered dose recovered in excretions within 35 days after administration, including 6.63% and 71.2% in urine and feces, respectively. In conclusion, [14C]-furmonertinib is completely absorbed and rapidly distributed into lung tissue, extensively metabolized in humans, presented mostly as covalent conjugates in plasma, and slowly eliminated mostly via fecal route.

Feasibility study of 68Ga-labeled CAR T cells for in vivo tracking using micro-positron emission tomography imaging.

Clinical tracking of chimeric antigen receptor (CAR) T cells in vivo by positron emission tomography (PET) imaging is an area of intense interest. But the long-lived positron emitter-labeled CAR T cells stay in the liver and spleen for days or even weeks. Thus, the excessive absorbed effective dose becomes a major biosafety issue leading it difficult for clinical translation. In this study we used 68Ga, a commercially available short-lived positron emitter, to label CAR T cells for noninvasive cell tracking in vivo. CAR T cells could be tracked in vivo by 68Ga-PET imaging for at least 6 h. We showed a significant correlation between the distribution of 89Zr and 68Ga-labeled CAR T cells in the same tissues (lungs, liver, and spleen). The distribution and homing behavior of CAR T cells at the early period is highly correlated with the long-term fate of CAR T cells in vivo. And the effective absorbed dose of 68Ga-labeled CAR T cells is only one twenty-fourth of 89Zr-labeled CAR T cells, which was safe for clinical translation. We conclude the feasibility of 68Ga instead of 89Zr directly labeling CAR T cells for noninvasive tracking of the cells in vivo at an early stage based on PET imaging. This method provides a potential solution to the emerging need for safe and practical PET tracer for cell tracking clinically.

Pharmacokinetics, mass balance, and metabolism of [14C]vicagrel, a novel irreversible P2Y12 inhibitor in humans.

Vicagrel, a novel irreversible P2Y12 receptor inhibitor, is undergoing phase III trials for the treatment of acute coronary syndromes in China. In this study, we evaluated the pharmacokinetics, mass balance, and metabolism of vicagrel in six healthy male Chinese subjects after a single oral dose of 20 mg [14C]vicagrel (120 µCi). Vicagrel absorption was fast (Tmax = 0.625 h), and the mean t1/2 of vicagrel-related components was ~38.0 h in both plasma and blood. The blood-to-plasma radioactivity AUCinf ratio was 0.55, suggesting preferential distribution of drug-related material in plasma. At 168 h after oral administration, the mean cumulative excreted radioactivity was 96.71% of the dose, including 68.03% in urine and 28.67% in feces. A total of 22 metabolites were identified, and the parent vicagrel was not detected in plasma, urine, or feces. The most important metabolic spot of vicagrel was on the thiophene ring. In plasma pretreated with the derivatization reagent, M9-2, which is a methylated metabolite after thiophene ring opening, was the predominant drug-related component, accounting for 39.43% of the radioactivity in pooled AUC0-8 h plasma. M4, a mono-oxidation metabolite upon ring-opening, was the most abundant metabolite in urine, accounting for 16.25% of the dose, followed by M3-1, accounting for 12.59% of the dose. By comparison, M21 was the major metabolite in feces, accounting for 6.81% of the dose. Overall, renal elimination plays a crucial role in vicagrel disposition, and the thiophene ring is the predominant metabolic site.

Multicenter-Based Population Pharmacokinetic Analysis of Ciclosporin in Hematopoietic Stem Cell Transplantation Patients.

PURPOSE: To explore the contribution of physiological characteristics to variability in ciclosporin pharmacokinetics in hematopoietic stem cell transplantation patients. METHODS: Clinical data from 563 patients were collected from centers in three regions. Ciclosporin concentrations were measured using immunoassays. The patients' demographics, hematological and biological indicators, coadministered drugs, region, and disease diagnosis were recorded from medical records. Data analysis was performed using NONMEM based on a one-compartment model to describe the pharmacokinetics of ciclosporin. The reliability and stability of the final model were evaluated using bootstrap resampling, goodness-of-fit plots, and prediction-corrected visual predictive checks. RESULTS: The population estimate of the clearance (CL) was 30.4 L/h, the volume of distribution (V) was 874.0 L and the bioavailability (F) was 81.1%. The between-subject variability in these parameters was 26.3, 68.0, and 110.8%, respectively. Coadministration of fluconazole, itraconazole, or voriconazole decreased CL by 17.6%, 28.4%, and 29.2%, respectively. Females' CL increased by approximately 12.0%. In addition, CL and V decreased with hematocrit, total protein, and uric acid increase, and CL also decreased with age and aspartate aminotransferase increase. However, CL increased with creatinine clearance increase. CONCLUSIONS: A multicenter-based population pharmacokinetic model of ciclosporin was established. The pharmacokinetics of ciclosporin exhibited discrepancies among different regions.

Metabolism and disposition of pyrotinib in healthy male volunteers: covalent binding with human plasma protein.

Pyrotinib is a novel irreversible EGFR/HER2 dual tyrosine kinase inhibitor that is used to treat HER2-positive breast cancer. In this study we investigated the metabolism and disposition of pyrotinib in six healthy Chinese men after a single oral dose of 402 mg of [14C]pyrotinib. At 240 h postdose, the mean cumulative excretion of the dose radioactivity was 92.6%, including 1.7% in urine and 90.9% in feces. In feces, oxidative metabolites were detected as major drug-related materials and the primary metabolic pathways were O-depicoline (M1), oxidation of pyrrolidine (M5), and oxidation of pyridine (M6-1, M6-2, M6-3, and M6-4). In plasma, the major circulating entities identified were pyrotinib, SHR150980 (M1), SHR151468 (M2), and SHR151136 (M5), accounting for 10.9%, 1.9%, 1.0%, and 3.0%, respectively, of the total plasma radioactivity based on the AUC0-∞ ratios. Approximately 58.3% of the total plasma radioactivity AUC0-∞ was attributed to covalently bound materials. After incubation of human plasma with [14C]pyrotinib at 37 °C for 2, 5, 8, and 24 h, the recovery of radioactivity by extraction was 97.4%, 91.8%, 69.6%, and 46.7%, respectively, revealing covalent binding occurred independently of enzymes. A group of pyrotinib adducts, including pyrotinib-lysine and pyrotinib adducts of the peptides Gly-Lys, Lys-Ala, Gly-Lys-Ala, and Lys-Ala-Ser, was identified after HCl hydrolysis of the incubated plasma. Therefore, the amino acid residue Lys190 of human serum albumin was proposed to covalently bind to pyrotinib via Michael addition. Finally, the covalently bound pyrotinib could dissociate from the human plasma protein and be metabolized by oxidation and excreted via feces.

Theory-based pharmacokinetics and pharmacodynamics of S- and R-warfarin and effects on international normalized ratio: influence of body size, composition and genotype in cardiac surgery patients.

AIMS: The aims of this study are to apply a theory-based mechanistic model to describe the pharmacokinetics (PK) and pharmacodynamics (PD) of S- and R-warfarin. METHODS: Clinical data were obtained from 264 patients. Total concentrations for S- and R-warfarin were measured by ultra-high performance liquid tandem mass spectrometry. Genotypes were measured using pyrosequencing. A sequential population PK parameter with data method was used to describe the international normalized ratio (INR) time course. Data were analyzed with NONMEM. Model evaluation was based on parameter plausibility and prediction-corrected visual predictive checks. RESULTS: Warfarin PK was described using a one-compartment model. CYP2C9 *1/*3 genotype had reduced clearance for S-warfarin, but increased clearance for R-warfarin. The in vitro parameters for the relationship between prothrombin complex activity (PCA) and INR were markedly different (A = 0.560, B = 0.386) from the theory-based values (A = 1, B = 0). There was a small difference between healthy subjects and patients. A sigmoid Emax PD model inhibiting PCA synthesis as a function of S-warfarin concentration predicted INR. Small R-warfarin effects was described by competitive antagonism of S-warfarin inhibition. Patients with VKORC1 AA and CYP4F2 CC or CT genotypes had lower C50 for S-warfarin. CONCLUSION: A theory-based PKPD model describes warfarin concentrations and clinical response. Expected PK and PD genotype effects were confirmed. The role of predicted fat free mass with theory-based allometric scaling of PK parameters was identified. R-warfarin had a minor effect compared with S-warfarin on PCA synthesis. INR is predictable from 1/PCA in vivo.

The genetic polymorphisms of POR*28 and CYP3A5*3 significantly influence the pharmacokinetics of tacrolimus in Chinese renal transplant recipients.

PURPOSES: The aims of this study were to assess the influence of the polymorphism of cytochrome P450 oxidoreductase (POR) as well as other relevant genes (CYP3A4, CYP3A5, ABCB1) on individual variability of tacrolimus pharmacokinetics and perform population pharmacokinetic analysis of tacrolimus in Chinese renal transplant recipients. METHODS: Tacrolimus trough whole blood concentrations and clinical details were retrospectively collected from 83 renal recipients. CYP3A4*1G, CYP3A5*3, and ABCB1 C3435T were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), POR*28 and CYP3A4*22 were genotyped by sequencing method. Population pharmacokinetic analysis was performed using NONMEM program. RESULTS: The significant influences of CYP3A5*3, CYP3A4*1G, and POR*28 polymorphisms on tacrolimus dose-adjusted trough concentrations (C0/D) were observed in 83 renal recipients. Subgroup analysis showed that POR*28 polymorphisms significantly decreased tacrolimus C0/D by 1.50 - 1.84-fold (p < 0.05) in patients who were CYP3A5 expressers (CYP3A5*1 carriers, n = 46), while similar results could not be obtained from CYP3A5 non-expressers (CYP3A5*3/*3 carriers, n = 37). Additionally, population pharmacokinetic analysis identified that the combined genotype of CYP3A5-POR was the only covariant for the apparent clearance of tacrolimus (CL/F). CONCLUSIONS: The study demonstrated that the POR*28 C>T mutation could decrease the C0/D of tacrolimus in renal recipients who were CYP3A5 expressers. The population pharmacokinetic model showed that the combined genotype of CYP3A5-POR was associated with the CL/F of tacrolimus which might provide references for personalized use of tacrolimus in clinic.

Therapeutic Effect of Chenodeoxycholic Acid in an Experimental Rabbit Model of Osteoarthritis.

Osteoarthritis (OA) is a slowly progressive joint disease typically seen in middle-age to elderly people. At present, there is no ideal agent to treat OA. Chenodeoxycholic acid (CDCA) was a principal active constituent from animal bile. However, the therapeutic effect of CDCA on OA severity was largely unknown. The purpose of this study was to evaluate the therapeutic effect of intra-articular injection of CDCA in a rabbit OA model. OA was induced in experimental rabbits by anterior cruciate ligament transection (ACLT) and then rabbits were intra-articularly injected with CDCA (10 mg/kg or 50 mg/kg) once per week for 5 weeks. The results showed that CDCA significantly decreased cartilage degradation on the surface of femoral condyles, reducing the pathological changes of articular cartilage and synovial membrane by macroscopic and histological analysis. CDCA also significantly decreased bone destruction and erosion of joint evaluated by micro-CT. Furthermore, CDCA could markedly reduce the release of matrix metalloproteinase-1 (MMP-1), matrix metalloproteinase-3 (MMP-3), interleukin-1ß (IL-1ß), and prostaglandin E2 (PGE2) in synovial fluid. These observations highlight CDCA might be a potential therapeutic agent for OA.

A rapid and underivatized method for the determination of glutamine in human serum with ultra performance liquid chromatography-tandem mass spectrometry and its application.

A rapid and underivatized method for the determination of glutamine (Gln) in human serum was developed using ultra performance liquid chromatography tandem mass spectrometry (UPLC/MS/MS). Gln was eluted in an Acquity UPLC BEH Amid column. The chromatographic separation was performed with an isocratic mobile phase consisting of acetonitrile and ammonium formate. The analyses were carried out by select reaction monitoring using the precursor-to-product combinations of m/z 146.8→83.6 (Gln) and m/z 103.4→57.7 (IS). Validation results indicated that the lower limit of quantification was 30 µg mL(-1) and the assay exhibited a linear range of 30-600 µg mL(-1). A typical equation for the calibration curve was y = 0.0039 x + 0.0139 (r(2 )= 0.9992). The intra-batch precision (relative standard deviation, RSD) was less than 5.4% and inter-batch (RSD) was less than 9.2%, while accuracy was from 93.11 to 101.39% and from 96.22 to 99.62%, determined from quality control (QC) samples for Gln. Then the established method was successfully applied to determine the Gln concentration in the serum of healthy human and pregnant woman within three-month pregnancy. The results showed that the Gln concentration in pregnant woman serum was generally lower than the healthy human group. It suggests that the pregnant woman should eat more food packed with Gln.

[Population pharmacokinetics and pharmacodynamics of clopidogrel in patients with acute coronary syndrome].

This study established a population pharmacokinetics-pharmacodynamics model of clopidogrel in patients with acute coronary syndrome. Fifty-nine patients were enrolled. The plasma concentration of clopidogrel active metabolite and vasodilator stimulated phosphoprotein platelet reactivity index (VASP-PRI) were selected as the pharmacokinetics index and the pharmacodynamics index, respectively. The covariates including demographic characteristics, laboratory indexes, combined medication, complications and genetic polymorphisms of related enzymes were screened for their influence on the pharmacokinetic and pharmacodynamics parameters. Population pharmacokinetic and pharmacodynamics data analysis was performed using NONMEM software. The general linear model and the indirectly effect model-turnover model for pharmacokinetic and pharmacodynamic analysis were selected as the basic model, respectively. The population typical values of K12, CL/F, V/F, EC50, K(in), and E(max) were 0.259 h(-1), 179 L x h(-1), 632 L, 1.57 ng x mL(-1), 4.29 and 0.664, respectively. CYP2C19 was the covariate in the final pharmacokinetic model, and the model was to design a prior dosage regimen.

Effect of the P450 oxidoreductase 28 polymorphism on the pharmacokinetics of tacrolimus in Chinese healthy male volunteers.

PURPOSE: To assess the influence of the P450 oxidoreductase 28 SNP (POR 28) on tacrolimus pharmacokinetics in the Chinese population. METHODS: Seventy-one healthy Chinese volunteers enrolled in the study received an oral dose of 2 mg of tacrolimus after providing written informed consent. CYP3A5 3 was genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and POR*28 was genotyped by PCR-direct sequencing. Tacrolimus whole blood concentrations were determined by ultra performance liquid chromatography-tandem mass spectrometry and the pharmacokinetics analyses was evaluated by nonparametric methods. RESULTS: The frequencies of CYP3A5 3 and POR 28 allele were 73.3 % and 29.6 %, respectively. No significant differences existed in tacrolimus pharmacokinetics between the POR 28 CC homozygotes (n = 32) and the POR 28 T allele (n = 39) in all subjects. The mean tacrolimus AUC0-24, AUC0-∞ and Cmax for the POR 28 CC (n = 14) homozygotes in CYP3A5 expressers (CYP3A5 1/ 1 or 1/ 3 genotype) were 71.5 ± 38.9 h ng/mL, 94.3 ± 58.3 h ng/mL and 17.6 ± 9.8 ng/mL, which were much higher than the POR 28 CT heterozygotes (n = 17) of 46.7 ± 24.9 h ng/mL, 57.4 ± 33.9 h ng/mL and 11.2 ± 6.4 ng/mL (P < 0.05, respectively). We did not observe any significant differences in tacrolimus pharmacokinetics between the POR 28 CC homozygotes (n = 18) and POR 28 T carriers (n = 22) in CYP3A5 nonexpressers (CYP3A5 3/ 3 carriers). CONCLUSIONS: The POR 28 CT genotype presented a significantly lower level of tacrolimus exposure (AUC, Cmax) compared with the POR 28 CC genotype in CYP3A5-expressing subjects. It suggested that the POR 28 genetic polymorphism might also be responsible for the marked interindividual variability of tacrolimus besides the CYP3A5 3 genetic polymorphism.

Pharmacokinetics, Mass Balance and Metabolism of [14C]HSK21542, a Novel Kappa Opioid Receptor Agonist, in Humans.

BACKGROUND AND OBJECTIVE: HSK21542, a synthetic short-chain polypeptide, is a selective peripheral kappa opioid receptor (KOR) agonist. In this single-centre, non-randomized, open-label study, the pharmacokinetics, mass balance, metabolism and excretion of HSK21542 were investigated. METHODS: A single intravenous dose of 2 µg/0.212 µCi/kg [14C]HSK21542 was administered to six healthy male subjects. Samples of blood, urine and faeces were collected for quantitative determination of total radioactivity and unchanged HSK21542, and identification of metabolites. RESULTS: The mean total recovery was 81.89% of the radiolabelled dose over 240 h post-dose, with 35.60% and 46.30% excreted in faeces and urine, respectively. The mean maximum concentration (Cmax), the half-life (t1/2) and the area under the concentration-time curve (AUC0-t) of total radioactivity (TRA) in plasma were 20.4 ±4.16 ng Eq./g, 1.93 ± 0.322 h and 21.8 ± 2.93 h·ng Eq./g, respectively, while the Cmax, t1/2 and the AUC0-t of unchanged HSK21542 were 18.3 ± 3.36 ng/mL, 1.66 ± 0.185 h and 18.4 ± 2.24 h·ng/mL, respectively. The blood-to-plasma ratios of TRA at several times ranged from 0.46 to 0.54. [14C]HSK21542 was detected as the main circulating substance in plasma, accounting for 92.17% of the AUC of TRA. The unchanged parent compound was the only major radioactive chemical in urine (100.00% of TRA) and faeces (93.53% of TRA). Metabolites were very minor components. CONCLUSIONS: HSK21542 was barely metabolized in vivo and mainly excreted with unchanged HSK21542 as its main circulating component in plasma. It was speculated that renal excretion was the principal excretion pathway, and faecal excretion was the secondary pathway. CLINICAL TRIAL REGISTRATION NUMBER: NCT05835934.

A model based on machine learning for the prediction of cyclosporin A trough concentration in Chinese allo-HSCT patients.

BACKGROUND: Cyclosporin A is a calcineurin inhibitor which has a narrow therapeutic window and high interindividual variability. Various population pharmacokinetic models have been reported; however, professional software and technical personnel were needed and the variables of the models were limited. Therefore, the aim of this study was to establish a model based on machine learning to predict CsA trough concentrations in Chinese allo-HSCT patients. METHODS: A total of 7874 cases of CsA therapeutic drug monitoring data from 2069 allo-HSCT patients were retrospectively included. Sequential forward selection was used to select variable subsets, and eight different algorithms were applied to establish the prediction model. RESULTS: XGBoost exhibited the highest prediction ability. Except for the variables that were identified by previous studies, some rarely reported variables were found, such as norethindrone, WBC, PAB, and hCRP. The prediction accuracy within ±30% of the actual trough concentration was above 0.80, and the predictive ability of the models was demonstrated to be effective in external validation. CONCLUSION: In this study, models based on machine learning technology were established to predict CsA levels 3-4 days in advance during the early inpatient phase after HSCT. A new perspective for CsA clinical application is provided.

Strong association between HLA-B*1502 and carbamazepine-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in mainland Han Chinese patients.

PURPOSE: The purpose of this study is to examine the association of HLA-B*1502 allele with CBZ-induced SJS/TEN in the mainland Han Chinese population. METHODS: HLA-B*1502 genotyping with sequence-specific primer polymerase chain reaction (PCR-SSP) and PCR-sequencing based typing (PCR-SBT) was performed on 17 CBZ-induced SJS/TEN patients, 21 CBZ-tolerant controls, and 185 healthy controls recruited during 2008-2010. RESULTS: HLA-B*1502 allele was present in 94.1% (16/17) of CBZ-SJS/TEN patients, 9.5% (2/21) of CBZ-tolerant patients, and 9.2% (17/185) of healthy controls. The risk of CBZ-induced SJS/TEN was significantly higher (P < 0.01) in the patients with HLA-B*1502. One CBZ-induced SJS patient tested negative for HLA-B*1502, and the test result showed HLA-B*3503/B*4601. CONCLUSIONS: We found a strong association between HLA-B*1502 and CBZ-induced SJS/TEN in the Han Chinese population from central and northern China. Combined with previous studies of the southern Han Chinese subpopulation, our results suggest that HLA-B*1502 is strongly associated with CBZ-induced SJS/TEN in the whole Han Chinese population.

Population pharmacokinetics and pharmacogenetics of tacrolimus in healthy Chinese volunteers.

AIM: The aim of this study was to establish population pharmacokinetic models of tacrolimus in healthy Chinese volunteers. METHODS: A total of 956 tacrolimus whole blood concentrations from 73 healthy volunteers were determined using ultraperformance liquid chromatography mass spectrometry/mass spectrometry. Population pharmacokinetic analyses were performed using NONMEM. The final population pharmacokinetic models were validated with bootstrap and visual predictive check. A number of covariates were analyzed, including CYP3A5 and ABCB1 polymorphism, demographic characteristics and hematological and biological indices. RESULTS: The structural model was a two-compartment model with first-order absorption, and a lag time was fitted to the data. The typical population values of tacrolimus for the pharmacokinetic parameters of apparent clearance (CL/F), apparent distribution volume of the central compartment (V(2)/F), intercompartmental clearance (Q/F), apparent distribution volume of the peripheral compartment (V(3)/F), absorption rate (ka) and lag time (ALAG) were 27.7 l/h, 37.5 liters, 34.4 l/h, 357 liters, 0.795 h(-1) and 0.226 h, respectively. The interindividual variabilities of these parameters were 63.3, 62.0, 50.8, 52.3, 32.9 and 4.45%, respectively, and the intraindividual variability of observed concentrations was 14.9%. The covariates that were retained in the final models were CYP3A5 genotype on CL/F, and body surface area and red blood count on V(3)/F. CONCLUSION: Population pharmacokinetic models of tacrolimus were developed in healthy volunteers. These results could provide a reference for individualized tacrolimus therapy in the clinical setting.