Effect of Tacrolimus Time in Therapeutic Range on Postoperative Recurrence in Patients Undergoing Liver Transplantation for Liver Cancer.

BACKGROUND AND OBJECTIVE: Liver cancer is the second highest cause of cancer-related deaths worldwide. It is commonly treated with liver transplantation, where tacrolimus is typically used as an antirejection immunosuppressant. The purpose of this study was to evaluate the effect of tacrolimus time in therapeutic range (TTR) on liver cancer recurrence in liver transplant recipients and to compare the performance of TTRs calculated according to the target ranges recommended in published guidelines. METHODS: A total of 84 patients who underwent liver transplantation for liver cancer were retrospectively included. Tacrolimus TTR was calculated using linear interpolation from the date of transplantation until recurrence or the last follow-up according to target ranges recommended in the Chinese guideline and international expert consensus. RESULT: Twenty-four recipients developed liver cancer recurrence after liver transplantation. The CTTR (TTR calculated according to the Chinese guideline) for the recurrence group was significantly lower than that of the nonrecurrence group (26.39% vs. 50.27%, P < 0.001), whereas the ITTR (TTR calculated according to the international consensus) was not significantly different between the two groups (47.81% vs. 56.37%, P = 0.165). Multivariate survival analysis revealed that age, microvascular invasion, hepatocellular carcinoma, CTTR, and mean tacrolimus trough concentration were independent predictors of liver cancer recurrence after liver transplantation. CONCLUSIONS: TTR predicts liver cancer recurrence in liver transplant recipients. The range of tacrolimus concentrations recommended in the Chinese guideline was more beneficial than that recommended in the international consensus for Chinese patients undergoing liver transplantation for liver cancer.

Population pharmacokinetics and dosage optimization of linezolid in Chinese older patients.

PURPOSE: To assess the pharmacokinetics and pharmacodynamics of linezolid in a retrospective cohort of hospitalized Chinese older patients. METHODS: Patients > 60 years of age, who received intravenous linezolid (600 mg), were included. A population pharmacokinetics (PPK) model was established using nonlinear mixed-effects modeling. The predictive performance of the final model was assessed using goodness-of-fit plots, bootstrap analyses, and visual predictive checks. Monte Carlo simulations were used to evaluate the achievement of a pharmacodynamics target for the area under the serum concentration-time curve/minimum inhibitory concentration (AUC0-24/MIC). RESULTS: A total of 210 samples were collected from 120 patients. A one-compartment PPK model with linear elimination best predicted the linezolid plasma concentrations. Linezolid clearance (CL) was 4.22 L h-1 and volume of distribution (Vd) was 45.80 L; serum uric acid (SUA) was a significant covariate of CL. CONCLUSION: The results of this study indicated that the standard dose was associated with a risk of overexposure in older patients, particularly those with high SUA values; these patients would benefit from a lower dose (300 mg every 12 h).

Pharmacokinetic/Pharmacodynamic Target Attainment of Tigecycline in Patients with Hepatic Impairment in a Real-World Setting.

BACKGROUND: This study aimed to investigate the pharmacokinetic/pharmacodynamic (PK/PD) target attainment of various tigecycline dosing regimens in real-world patients with impaired liver function. METHODS: The clinical data and serum concentrations of tigecycline were extracted from the patients' electronic medical records. Patients were classified into Child-Pugh A, Child-Pugh B, and Child-Pugh C groups, according to the severity of liver impairment. Furthermore, the minimum inhibition concentration (MIC) distribution and PK/PD targets of tigecycline from the literature were used to obtain a proportion of PK/PD targets attainment of various tigecycline dosing regimens at different infected sites. RESULTS: The pharmacokinetic parameters revealed significantly higher values in moderate and severe liver failure (groups Child-Pugh B and Child-Pugh C) than those in mild impairment (Child-Pugh A). Considering the target area under the time-concentration curve (AUC 0-24 )/MIC ≥4.5 for patients with pulmonary infection, most patients with high-dose (100 mg, every 12 hours) or standard-dose (50 mg, every 12 hours) for tigecycline achieved the target in groups Child-Pugh A, B, and C. Considering the target AUC 0-24 /MIC ≥6.96 for patients with intra-abdominal infection, when MIC ≤1 mg/L, more than 80% of the patients achieved the target. For an MIC of 2-4 mg/L, only patients with high-dose tigecycline in groups Child-Pugh B and C attained the treatment target. Patients experienced a reduction in fibrinogen values after treatment with tigecycline. In group Child-Pugh C, all 6 patients developed hypofibrinogenemia. CONCLUSIONS: Severe hepatic impairment may attain higher PK/PD targets, but carries a high risk of adverse reactions.

Inosine Triphosphate Pyrophosphatase and NUDT15 are Good Predictors of Clinical Outcomes in Thiopurine-Treated Chinese Patients with Inflammatory Bowel Disease.

BACKGROUND: Although the relationship between NUDT15 and thiopurine-induced leukopenia has been proven in previous studies, no prominent factors explaining interindividual variations in its active metabolite, 6-thioguanine nucleotide (6-TGN), and clinical efficacy have been identified. In this study, the correlation between genotypes (thiopurine S-methyltransferase, NUDT15, and ITPA polymorphisms), 6-TGN concentrations, and clinical outcomes (efficacy and side effects) in patients with inflammatory bowel disease were investigated. METHODS: In total, 160 patients with inflammatory bowel disease were included, and the 3 genotyped genes and 6-TGN levels were measured by high-performance liquid chromatography. Statistical analyses and calculations were performed to determine their relationships. RESULTS: ITPA genotypes and 6-TGN concentration were both associated with the clinical effectiveness of azathioprine (P = 0.036 and P = 4.6 × 10-7), with a significant correlation also detected between them (P = 0.042). Patients with ITPA variant alleles exhibited higher 6-TGN levels than those with the wild-type allele. In addition, the relationship between NUDT15 and leukopenia and neutropenia was confirmed (P = 1.79 × 10-7 and 0.002). CONCLUSIONS: In summary, it is recommended that both ITPA and NUDT15 genotyping should be performed before azathioprine initiation. Moreover, the 6-TGN concentration should be routinely monitored during the later period of treatment.

Distribution evaluation of tacrolimus in the ascitic fluid of liver transplant recipients with liver cirrhosis by a sensitive ultra-performance liquid chromatography-tandem mass spectrometry method.

Tacrolimus has a narrow therapeutic index and large individual differences in pharmacokinetics. The distribution of tacrolimus in ascitic fluid and its influence on whole-blood tacrolimus were unclear. In this study, a sensitive ultra-performance liquid chromatography-tandem mass spectrometry method was established and validated for the quantification of tacrolimus in the ascitic fluid of liver transplant recipients. Chromatographic separation was achieved on an Agilent ZORBAX Eclipse Plus Phenyl-Hexyl column (2.1 × 100 mm, 3.5 µm). Mass spectrometry was performed in multiple reaction monitoring conditions of transitions m/z 821.4→768.5 for tacrolimus. The concentrations of tacrolimus in the ascitic fluid range from 0.2 to 3.0 ng/mL, accounting for 1.19-31.87% of whole-blood tacrolimus concentrations. A linear mixed model showed a statistically significant positive correlation between the steady-state trough blood concentration of tacrolimus and the corresponding amount of tacrolimus excreted in the ascitic fluid for 24 consecutive hours, especially after normalization by daily dose per unit body weight. These data suggested that the distribution of tacrolimus in the ascitic fluid has great individual differences. The whole-blood tacrolimus concentration, dose per unit body weight, and other confounding factors may contribute to the excretion of tacrolimus in ascitic fluid, but the influence of tacrolimus excretion in drained ascitic fluid on the whole-blood tacrolimus concentration is negligible.

Population pharmacokinetics and dosage optimisation of tacrolimus coadministration with Wuzhi capsule in adult liver transplant patients.

This study aimed to establish a population pharmacokinetic model of tacrolimus coadministration with Wuzhi capsule and optimise the dosage regimen in adult liver transplant patients.Totally 1327 tacrolimus trough concentrations from 116 adult liver transplant patients were obtained for model development. A one-compartment model with first-order absorption and elimination was used to analyse the data, and the final model was internally verified using a goodness-of-fit diagnostic plot, bootstrap methods, and visual prediction test. A total of 29 patients with 250 tacrolimus trough concentrations were used for external validation via prediction-based diagnostics. Additionally, the simulation was used to optimise the recommended dose of tacrolimus and Wuzhi capsules.The estimated apparent clearance and volume of the distribution of tacrolimus were 15.4 L/h and 1210 L, respectively. The tacrolimus daily dose, Wuzhi capsule daily dose, postoperative time, alanine transaminase, haemoglobin, total bilirubin, direct bilirubin, estimated glomerular filtration rate, and urea, concomitant with voriconazole and fluconazole, were identified as significant covariates affecting the pharmacokinetic parameters. Internal and external validation showed that the final model was stable and reliable for predicting performance.The final model could provide guidance for dosage optimisation of tacrolimus coadministered with Wuzhi capsules in adult liver transplantation patients.

Sensitive colorimetric sensing of glutathione and H2O2 based on enhanced peroxidase mimetic activity of MXene@Fe3O4.

The peroxidase-like activity of MXene@Fe3O4 nanocomposites and the relevant colorimetric application have been investigated for the first time. According to a kinetic study, MXene@Fe3O4 nanocomposites displayed higher peroxidase activity than their individual components, and the catalytic process followed a ping-pong mechanism. The improved peroxidase-like activity of the MXene@Fe3O4 nanocomposites was obtained due to the synergetic impact of the Fe3O4 and MXene phases, the huge ion-accessible interface, and quick electron transfer channels in the nanocomposites. In the presence of hydrogen peroxide (H2O2), the MXene@Fe3O4 nanocomposites can catalyze the reaction of the colorless substrate 3, 3, 5, 5-tetramethylbenzidine (TMB) into oxidized TMB which revealed a blue color at 652 nm. After the introduction of glutathione (GSH), the blue color was gradually fading owing to the hydroxyl radical scavenging effect of glutathione. A colorimetric detection platform based on the peroxidase-like activity of the MXene@Fe3O4 nanocomposites was developed for H2O2 and GSH with a detection limit of 0.4 µM and 0.5 µM, respectively. The calibration plot for glutathione detection is calculated by absorbance difference at 652 nm, which ranged from 0.5 to 10 µM with a detection limit of 0.2 µM. The recoveries of GSH with different concentrations ranged from 93.76 to 108.50% and the relative standard deviation from 0.30 to 5.96%. This work significantly extends the application of MXene@Fe3O4 nanocomposites in the construction of colorimetric sensors and reveals a satisfactory result in real sample analysis.

The gut microbiome as non-invasive biomarkers for identifying overweight people at risk for osteoarthritis.

OBJECTIVE: To evaluate the potential for identifying overweight people at risk for osteoarthritis from a gut microbiome biomarker. BACKGROUND: Osteoarthritis (OA) is the most common form of arthritis, affecting millions of people worldwide. Being overweight increases the load placed on the joints such as the knee, which increases stress and could hasten the breakdown of cartilage. Identifying overweight people at risk for osteoarthritis remains a challenge. However, emerging evidence indicates that microbial dysbiosis in the human gut might play an important role in many inflammatory diseases. Considering the role of inflammation in OA development, analysis of the gut microbiome might be a potential non-invasive tool for overweight individuals to evaluate their risk for OA. RESULTS: In this prospective study, we collected 182 stool samples from overweight OA patients (n = 86) and overweight normal people (n = 96) (25 kg/m2

Response to the Comments on "Determining Allele-Specific Protein Expression (ASPE) Using a Novel Quantitative Concatamer Proteomics Method".

Russell and colleagues deserve credit for being the first to use a QconCAT standard to simultaneously quantify both the wild-type and mutant peptides of a protein (i.e., CYP2B6) ( J. Proteome Res. 2013, 12 (12), 5934-5942. DOI: 10.1021/pr400279u). However, the rationale of their study was entirely different from ours ( J. Proteome Res. 2018, 17 (10), 3606-3612. DOI: 10.1021/acs.jproteome.8b00620). Their study focused on the quantification of individual drug-metabolizing enzymes and transporters, whereas ours developed a targeted proteomics method to determine the allele-specific protein expression (ASPE) of a gene and advocated the use of the ASPE imbalance as the phenotype for identifying cis-regulatory genetic variants of the gene. More importantly, the digestion enzyme trypsin interacts with three to four amino acid residues around scissile bonds, and certain residues, such as negatively charged amino acids, can significantly affect the digestion efficiency. The QconCAT standard reported in our study differs from conventional QconCAT standards such as that used by Russell et al. in that at least 15 native flanking amino acids were included to ensure accurate measurement of ASPE ratios.

Determining Allele-Specific Protein Expression (ASPE) Using a Novel Quantitative Concatamer Based Proteomics Method.

Measuring allele-specific expression (ASE) is a powerful approach for identifying cis-regulatory genetic variants. Here, we developed a novel targeted proteomics method for the quantification of allele-specific protein expression (ASPE) based on scheduled parallel reaction monitoring (PRM) with a heavy stable isotope-labeled quantitative concatamer (QconCAT) internal protein standard. This strategy was applied to the determination of the ASPE of UGT2B15 in human livers using the common UGT2B15 nonsynonymous variant rs1902023 (i.e., Y85D) as the marker to differentiate expressions from the two alleles. The QconCAT standard contains both the wild-type tryptic peptide and the Y85D mutant peptide at a ratio of 1:1 to ensure accurate measurement of the ASPE of UGT2B15. The results from 18 UGT2B15 Y85D heterozygotes revealed that the ratios between the wild-type Y allele and the mutant D allele varied from 0.60 to 1.46, indicating the presence of cis-regulatory variants. In addition, we observed no significant correlations between the ASPE and mRNA ASE of UGT2B15, suggesting the involvement of different cis-acting variants in regulating the transcription and translation processes of the gene. This novel ASPE approach provides a powerful tool for capturing cis-genetic variants involved in post-transcription processes, an important yet understudied area of research.

Relationship of imipenem therapeutic drug monitoring to clinical outcomes in critically ill patients: a retrospective cohort study.

The primary objective of this study was to evaluate the predictors associated with target concentration (non-)attainment of imipenem in critically ill patients. The secondary objective was to explore the correlation between achieving imipenem target concentrations and clinical outcomes of therapy. A retrospective cohort study was conducted in critically ill patients treated with imipenem. Clinical data were extracted from the patients' electronic medical records. The pharmacokinetic/pharmacodynamic target was defined as free imipenem concentrations above the minimum inhibitory concentration (MIC) of the pathogen at 100% (100%fT>MIC) of the dosing interval. Factors associated with the non-attainment of target concentrations were evaluated using binomial logistic regression. Kaplan-Meier analysis was used to investigate the correlation between (non-)attainment targets and 30-day mortality. A total of 406 patients were included, and 55.4% achieved the target of 100%fT>MIC. Regression analysis identified an initial daily dose of imipenem ≤ 2 g/day, augmented renal clearance, age ≤ 60 years, recent surgery, and absence of positive microbiology culture as risk factors for target non-attainment. Achieving the 100%fT>MIC target was significantly associated with clinical efficacy but not with 30-day mortality. Selective application of therapeutic drug monitoring in the early stages of imipenem treatment for critically ill patients can improve clinical outcomes. Further research should explore the potential benefits of TDM-guided dosing strategies for imipenem in critical care settings.

Pharmacokinetic interactions between tacrolimus and Wuzhi capsule in liver transplant recipients: Genetic polymorphisms affect the drug interaction.

Wuzhi capsule (WZC), a commonly used Chinese patent medicine to treat various types of liver dysfunction in China, increases the exposure of tacrolimus (TAC) in liver transplant recipients. However, this interaction has inter-individual variability, and the underlying mechanism remains unclear. Current research indicates that CYP3A4/5 and drug transporters influence the disposal of both drugs. This study aims to evaluate the association between TAC dose-adjusted trough concentration (C/D) and specific genetic polymorphisms of CYP3A4/5, drug transporters and pregnane x receptor (PXR), and plasma levels of major WZC components, deoxyschisandrin and γ-schisandrin, in liver transplant patients receiving both TAC and WZC. Liquid chromatography-tandem-mass spectrometry was used to detect the plasma levels of deoxyschisandrin and γ-schisandrin, and nine polymorphisms related to metabolic enzymes, transporters and PXR were genotyped by sequencing. A linear mixed model was utilized to assess the impact of the interaction between genetic variations and WZC components on TAC lnC/D. Our results indicate a significant association of TAC lnC/D with the plasma levels of deoxyschisandrin and γ-schisandrin. Univariate analysis demonstrated three polymorphisms in the genes ABCB1 (rs2032582), ABCC2 (rs2273697), ABCC2 (rs3740066), and PXR (rs3842689) interact with both deoxyschisandrin and γ-schisandrin, influencing the TAC lnC/D. In multiple regression model analysis, the interactions between deoxyschisandrin and both ABCB1 (rs2032582) and ABCC2 (rs3740066), post-operative day (ß < 0.001, p < 0.001), proton pump inhibitor use (ß = -0.152, p = 0.008), body mass index (ß = 0.057, p < 0.001), and ABCC2 (rs717620, ß = -0.563, p = 0.041), were identified as significant factors of TAC lnC/D, accounting for 47.89% of the inter-individual variation. In summary, this study elucidates the influence of the interaction between ABCB1 and ABCC2 polymorphisms with WZC on TAC lnC/D. These findings offer a scientific basis for their clinical interaction, potentially aiding in the individualized management of TAC therapy in liver transplant patients.

Development and Validation of a Dynamic Nomogram for Predicting 3-Month Mortality in Acute Ischemic Stroke Patients with Atrial Fibrillation.

Background: Acute ischemic stroke (AIS) in patients with atrial fibrillation (AF) carries a substantial risk of mortality, emphasizing the need for effective risk assessment and timely interventions. This study aimed to develop and validate a practical dynamic nomogram for predicting 3-month mortality in AIS patients with AF. Methods: AIS patients with AF were enrolled and randomly divided into training and validation cohorts. The nomogram was developed based on independent risk factors identified by multivariate logistic regression analysis. The prediction performance of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, decision curve analysis (DCA), and Kaplan-Meier survival analysis. Results: A total of 412 patients with AIS and AF entered final analysis, 288 patients in the training cohort and 124 patients in the validation cohort. The nomogram was developed using age, baseline National Institutes of Health Stroke Scale score, early introduction of novel oral anticoagulants, and pneumonia as independent risk factors. The nomogram exhibited good discrimination both in the training cohort (AUC, 0.851; 95% CI, 0.802-0.899) and the validation cohort (AUC, 0.811; 95% CI, 0.706-0.916). The calibration plots, DCA and Kaplan-Meier survival analysis demonstrated that the nomogram was well calibrated and clinically useful, effectively distinguishing the 3-month survival status of patients with AIS and AF, respectively. The dynamic nomogram can be obtained at the website: https://yanxiaodi.shinyapps.io/3-monthmortality/. Conclusion: The dynamic nomogram represents the first predictive model for 3-month mortality and may contribute to managing the mortality risk of patients with AIS and AF.

Case report and literature review: management of Paxlovid (nirmatrelvir/ritonavir)-induced acute tacrolimus toxicity in a patient with systemic lupus erythematosus.

Despite the availability of effective vaccines and treatments for SARS-CoV-2, managing COVID-19 in patients with systemic lupus erythematosus (SLE) remains challenging, particularly considering drug-drug interactions (DDIs). Here, we present a case of DDIs between Tacrolimus (Tac) and nirmatrelvir/ritonavir (NMV/r) in a 32-year-old male with SLE. Following self-administration of NMV/r and resumption of Tac after 5 days, the patient experienced acute nephrotoxicity and neurotoxicity, accompanied by supratherapeutic Tac levels, despite Tac being withheld during NMV/r. The primary cause of this acute toxicity is attributed to ritonavir's inhibitory effect on both CYP3A4 enzymes and P-glycoprotein. Upon admission, Tac was discontinued, and supportive therapies were initiated. Phenytoin, a CYP3A4 inducer, was administered to lower Tac levels under the guidance of clinical pharmacists, effectively alleviating the patient's acute toxic symptoms. The half-life of Tac during the treatment of phenytoin was calculated to be 55.87 h. And no adverse reactions to phenytoin were observed. This case underscores the persistence of enzyme inhibition effects and demonstrates the effectiveness and safety of utilizing CYP3A4 enzyme inducers to mitigate Tac concentrations. Furthermore, it emphasizes the importance of healthcare providers and patients being vigilant about DDIs in Tac recipients. Lastly, it highlights the indispensable role of pharmacist involvement in clinical decision-making and close monitoring in complex clinical scenarios. Although our findings are based on a single case, they align with current knowledge and suggest the potential of individualized combination therapy in managing challenging COVID-19 cases in immunocompromised patients.

Population pharmacokinetics, dosing optimization and clinical outcomes of biapenem in patients with sepsis.

Introduction: Biapenem is a carbapenem antibiotic widely used in Asia, can be used for the treatment of adults and children with infections due to susceptible bacteria. Although biapenem is utilized in the treatment of a diverse range of bacterial infections, current pharmacokinetic data in the context of septic populations remain limited. Consequently, our research aims to evaluate the pharmacokinetics and efficacy of biapenem within a septic population to optimize biapenem therapy. Methods: In this study, we characterized the pharmacokinetics of biapenem in septic patients using a population pharmacokinetic (PPK) approach. The clinical PK data to develop the PPK model were obtained from 317 septic patients admitted to Nanjing Drum Tower Hospital between 2018 and 2022. All patients were randomized to the modeling and validation cohorts at a 3:1 ratio, with PPK modeling and validation performed utilizing the NONMEM software. Results: The model found to best describe the available data was a two-compartment PPK model with first-order elimination characterized by the parameters clearance (CL), central volume (V1), peripheral volume (V2), and intercompartmental clearance (Q). A covariate analysis identified that creatinine clearance (CLCR) was a significant covariate influencing biapenem CL, while blood urea nitrogen (BUN) was a significant covariate influencing biapenem Q. Accoding to the clinical outcome analyses, 70% of the time that the free antimicrobial drug concentration exceeds the MIC (fT >MIC) is associated with favourable clinical outcomes. The PPK model was then used to perform Monte Carlo simulations to evaluate the probability of attaining 70% fT >MIC. Conclusions: A final PPK model of biapenem was established for patients with sepsis. The current daily dosage regimen of 1.2 g may insufficient to achieve 70% fT >MIC in septic patients. The dosage regimen of 600 mg every 6 h appears to be the optimal choice.

Comparison of renal function and metabolic abnormalities of cystine stone patients and calcium oxalate stone patients in China.

PURPOSE: To compare renal function and metabolic abnormalities of cystine stone patients and calcium oxalate stone patients in China. METHODS: Between 2008 and 2011, thirty cystine stone patients were involved in our study, and an equal number of age- and gender pair-matched patients with calcium oxalate stones. Non-stone forming individuals were elected as controls. The evaluation included blood chemistry studies and 24-h urine collection in both groups of patients. RESULTS: The cystine stone patients had higher mean values of serum blood urea nitrogen, urate and creatinine levels than patients in other two groups. With respect to urine risk factors, cystine stone patients had higher urinary citrate and lower urinary oxalate and creatinine than calcium oxalate stone patients. When compared to non-stone forming individuals, cystine stone patients had higher urinary urate excretion and lower urinary creatinine excretion. Metabolic abnormalities could be demonstrated in 80 % of the cystine stone patients and in 100 % of the calcium oxalate stone patients. We also compared urine risk factors among cystine stone patients with different urine cystine excretion (<1 mmol/24 h, 1-2 mmol/24 h and >2 mmol/24 h). No significant difference was found in urine risk factors among three groups. CONCLUSIONS: This study suggested that cystine stone patients were at greater risk for the loss of renal function than calcium oxalate stone patients, but the risk of the formation of calcium oxalate stones was lower. Our results also indicated that urinary cystine had little or no impact on the excretion of urine chemistries in cystine stone patients.

CYP3A4/5 polymorphisms affect the blood level of cyclosporine and tacrolimus in Chinese renal transplant recipients.

OBJECTIVE: Both cyclosporine and tacrolimus display a narrow therapeutic index as well as high interindividual pharmacokinetic variability. We approached the effect of the CYP3A4*18B and CYP3A5*3 polymorphisms and haplotypes on the whole blood cyclosporine or tacrolimus concentration in Chinese renal transplant patients during the first month after transplantation. MATERIALS AND METHODS: A total of 83 recipients receiving tacrolimus or cyclosporine was genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The whole blood concentration was measured by enzyme-multiplied immunoassay technique. RESULTS: Both CYP3A4*18B and CYP3A5*3 polymorphisms affected the tacrolimus dose-adjusted trough concentration (C0/D). The tacrolimus C0/D was higher in carriers of haplotype GG compared with the non-carriers. The cyclosporine dose-adjusted 2-hour post-dose concentrations (C2/D), dose-adjusted C0 + C2 ((C0 + C2)/D) and C2/C0 during Days 15 - 21 displayed significant difference among the three genotypes. Statistical difference was observed between CYP3A4*1/*1 and CYP3A4*18B/*18B groups and between CYP3A4*1/*18B and CYP3A4*18B/*18B groups, but no difference was detected between CYP3A4*1/*1 and CYP3A4*1/*18B groups. No difference was found in C0/D among the three genotypes of CYP3A4*18B polymorphism, and neither CYP3A5*3 polymorphisms nor CYP3A haplotype-derived genotypes affected the cyclosporine dose-adjusted concentration. CONCLUSIONS: Genetic polymorphisms of CYP3A5*3 and CYP3A4*18B may be partly responsible in large interindividual variability of cyclosporine and tacrolimus blood levels in Chinese renal transplant patients during the first month after transplantation. A patient carried combined genotype of CYP3A4*1/*1-CYP3A5* 3/*3 might require lower tacrolimus doses to achieve target concentration levels. Genotyping of CYP3A4*18B and CYP3A5*3 before transplantation is of benefit in determining a suitable initial dose for each patient.

Integrated untargeted and targeted proteomics to unveil plasma prognostic markers for patients with acute paraquat poisoning: A pilot study.

Paraquat (PQ) is a widely used but strongly toxic herbicide, which can induce multiple organ failure. The overall survival rate of the poisoned patients was only 54.4% due to lack of specific antidotes. Besides, the definite pathogenic mechanism of PQ is still not fully understood. In this pilot study, untargeted and targeted proteomics were integrated to explore the expression characteristics of plasma protein in PQ poisoned patients, and identify the differentially expressed proteins between survivors and non-survivors. A total of 494 plasma proteins were detected, and of which 47 were upregulated and 44 were downregulated in PQ poisoned patients compared to healthy controls. Among them, five differential plasma proteins (S100A9, S100A8, MB, ACTB and RAB11FIP3) were further validated by multiple reaction monitoring (MRM)-based targeted proteomic approach, and three of them (S100A9, S100A8 and ACTB) were confirmed to be correlated with PQ poisoning. Meanwhile, 84 dysregulated plasma proteins were identified in non-survivors compared with survivors. Moreover, targeted proteomic and ROC analysis suggested that ACTB had a good performance in predicting the prognosis of PQ poisoned patients. These findings highlighted the value of label-free and mass spectrometry-based proteomics in screening prognostic biomarkers of PQ poisoning and studying the mechanism of PQ toxicity.

Lower tacrolimus time in therapeutic range is associated with inferior outcomes in adult liver transplant recipients.

Previous studies on solid organ transplantation have reported that a low time in therapeutic range (TTR) of tacrolimus increases the risk of poor outcomes. However, the reproducibility of the findings in liver transplantation has not yet been confirmed. The TTR, coefficient of variation (CV) and standard deviation (SD) were calculated for 207 adult liver transplant patients from the date of transplantation until the first episode of acute rejection (AR), graft loss, acute kidney injury (AKI), biliary complications, infection or the last follow-up. Kaplan-Meier curves, log-rank tests and Cox regression analyses were performed. Sixty-one (29.5%) patients reached the composite endpoint of AR, biliary complications and graft loss. The log-rank test indicated that the low TTR group had an increased risk of the composite endpoint (P < 0.001), AKI (P < 0.001) and infection (P < 0.001). Multivariate Cox regression analyses revealed that a 10% decrease in TTR was associated with an increased hazard for composite endpoint (hazard ratio [HR]: 1.185, P = 0.010), AKI (HR: 1.355, P < 0.001) and infection (HR: 1.357, P < 0.001). Unexpectedly, SD and CV demonstrated no association with the above-mentioned inferior outcomes. Compared with SD and CV, the TTR of tacrolimus was more correlated with inferior outcomes and may be a novel indicator for predicting the prognosis of liver transplantation.

Serum proteomics analysis of biomarkers for evaluating clinical response to MTX/IGU therapy in early rheumatoid arthritis.

Methotrexate (MTX) and iguratimod (IGU) are conventional synthetic disease modifying antirheumatic drugs widely used in the treatment of Rheumatoid arthritis (RA) in China. Although MTX combined with IGU can significantly inhibit the progression of RA, some patients do not respond to the treatment. The purpose of this study is to explore the difference of serum protein expression between RA patients with good and poor response to the combined therapy by label-free quantitative proteomic approach. From the proteomics data, a total of 782 proteins in the serum of RA patients were detected, and of which 9 were upregulated and 18 were downregulated in the good response group compared to poor response group. Among them, four significantly differentially expressed proteins (RELN, LDHA, MRC1 and TKT) were further validated by multiple reaction monitoring (MRM)-based quantification approach, and three of them (RELN, LDHA and MRC1) were confirmed to be correlated with the response to MTX/IGU therapy. Logistic regression and ROC analysis indicated that the combination of RELN, LDHA and MRC1 had good performance in evaluating the response. This result proved the different serum proteins signature fingerprint between response group and non-response group; and highlighted the potential of the label-free and mass spectrometry-based quantitative proteomic approach in screening biomarkers for evaluating clinical response to MTX/IGU therapy in RA.