Benefit finding in chronic kidney disease patients receiving hemodialysis: a cross-sectional study.

BACKGROUND AND OBJECTIVES: The psychological problems of hemodialysis (HD) patients are prominent, and benefit finding (BF) have been proven beneficial to physical and mental health, fewer researchers explored BF in HD patients. The aim of this study was to investigate the current status of BF in patients with chronic kidney disease and to analyze the factors influencing it in order to provide a reference for subsequent interventions. METHODS: A cross-sectional study was done on 246 HD patients by convenience sampling in the hemodialysis center of a 3 A hospital in Shanghai from March to September 2019. The measures include General Information Questionnaire, Benefit Finding Scale, Perceived Social Support Scale, General Self-efficacy Scale, and Simplified Coping Style scale. RESULTS: The median (interquartile range, IQR) score of BF was 66 (IQR = 19) and it was lower compared with other chronic diseases. Significant differences in BF scores were found between different age groups, HD duration categories, and understanding degrees of HD. Taking BF as the dependent variable, the results of multiple linear regression analysis showed that age, duration of HD, family support, other support, positive coping, and self-efficacy entered the regression equation to explain 43.8% of the total variation. Social support played an indirect effect in the relationship between positive coping and BF, accounting for 54.1% of the total effect. CONCLUSION: The BF of HD patients is worrisome and affected by many factors. Medical staff could pay attention to the positive psychology of HD patients, and construct individualized interventions according to the influencing factors to improve their BF level and achieve physical and mental health.

The effects and mechanisms of heat stress on mammalian oocyte and embryo development.

The sum of nonspecific physiological responses exhibited by mammals in response to the disruption of thermal balance caused by high-temperature environments is referred to as heat stress (HS). HS affects the normal development of mammalian oocyte and embryos and leads to significant economic losses. Therefore, it is of great importance to gain a deep understanding of the mechanisms underlying the effects of HS on oocyte and embryonic development and to explore strategies for mitigating or preventing its detrimental impacts in the livestock industry. This article provides an overview of the negative effects of HS on mammalian oocyte growth, granulosa cell maturation and function, and embryonic development. It summarizes the mechanisms by which HS affects embryonic development, including generation of reactive oxygen species (ROS), endocrine disruption, the heat shock system, mitochondrial autophagy, and molecular-level alterations. Furthermore, it discusses various measures to ameliorate the effects of HS, such as antioxidant use, enhancement of mitochondrial function, gene editing, cultivating varieties possessing heat-resistant genes, and optimizing the animals'rearing environment. This article serves as a valuable reference for better understanding the relationship between HS and mammalian embryonic development as well as for improving the development of mammalian embryos and economic benefits under HS conditions in livestock production.

An integrated PK/PD model investigating the impact of tumor size and systemic safety on animal survival in SW1990 pancreatic cancer xenograft.

Survival is one of the most important endpoints in cancer therapy, and parametric survival analysis could comprehensively reveal the overall result of disease progression, drug efficacy, toxicity as well as their interactions. In this study we investigated the efficacy and toxicity of dexamethasone (DEX) combined with gemcitabine (GEM) in pancreatic cancer xenograft. Nude mice bearing SW1990 pancreatic cancer cells derived tumor were treated with DEX (4 mg/kg, i.g.) and GEM (15 mg/kg, i.v.) alone or in combination repeatedly (QD, Q3D, Q7D) until the death of animal or the end of study. Tumor volumes and net body weight (NBW) were assessed every other day. Taking NBW as a systemic safety indicator, an integrated pharmacokinetic/pharmacodynamic (PK/PD) model was developed to quantitatively describe the impact of tumor size and systemic safety on animal survival. The PK/PD models with time course data for tumor size and NBW were established, respectively, in a sequential manner; a parametric time-to-event (TTE) model was also developed based on the longitudinal PK/PD models to describe the survival results of the SW1990 tumor-bearing mice. These models were evaluated and externally validated. Only the mice with good tumor growth inhibition and relatively stable NBW had an improved survival result after DEX and GEM combination therapy, and the simulations based on the parametric TTE model showed that NBW played more important role in animals' survival compared with tumor size. The established model in this study demonstrates that tumor size was not always the most important reason for cancer-related death, and parametric survival analysis together with safety issues was also important in the evaluation of oncology therapies in preclinical studies.

Cancer-derived immunoglobulin G: A novel marker for differential diagnosis and relapse prediction in parathyroid carcinoma.

OBJECTIVE: A differential diagnosis between malignant and benign parathyroid lesions is difficult due to their overlapping clinicopathological characteristics. As such, molecular markers are urgently needed. Cancer-derived immunoglobulin G (CIgG) is a novel molecule playing important roles in carcinogenesis. The present study aimed to investigate the clinical significance of CIgG in parathyroid neoplasms. PATIENTS: Fifty patients with parathyroid carcinoma (PC), 50 patients with parathyroid adenoma (PA) and 9 patients with parathyroid hyperplasia (PH) were retrospectively enrolled in the current study. MEASUREMENTS: Immunohistochemistry was used to assess CIgG expression in these patients. The performance of CIgG expression in the differential diagnosis between parathyroid lesions was assessed by receiver operating characteristic (ROC) curves. The associations between CIgG expression and clinical outcomes were also analysed by Kaplan-Meier survival curves and Cox proportional hazards models. RESULTS: The expression level of CIgG was significantly higher in PC patients than in PA or PH patients (P < .001). CIgG expression discriminated PC from PA or PH, with an area under the ROC curve of 0.84 (76% sensitivity and 88% specificity). High CIgG expression was significantly associated with worse disease-free survival (DFS) in PC patients (P = .018) and was validated as an independent risk factor for DFS in the multivariable Cox regression analysis (P = .002). CONCLUSIONS: The ability of CIgG expression both in the differential diagnosis between malignant and benign parathyroid lesions and in the prognosis prediction for PC was shown in the present study. CIgG might be used as a novel biomarker of parathyroid lesions in future clinical practice.

Two new compounds from the roots of Pueraria peduncularis and their molluscicidal effects on Pomacea canaliculata.

Two oleanane-type triterpenoid saponins named pedunsaponin D (1) and pedunsaponin E (2) were isolated from the roots of Pueraria peduncularis. The structures of the new compounds were elucidated based on chemical and physicochemical evidence as follows: pedunsaponin D, 3-O-ß-glucopyranosyl-(1-3)-ß-glucuronopyranosyl-3ß,15α,23α-trihydroxy-11,13(18)-oleanadien-16-one (1); pedunsaponin E, 3-O-ß-glucopyranosyl-(1-2)-ß-glucopy ranosyl(1-2)[ß-glucopyranosyl(1-3)-ß-glucuronopyranosyl]-3ß-hydroxy-16-oxoolean-12-en-30-oic acid (2). The two compounds showed moderate molluscicidal activity.[Formula: see text].

Effects of Polymorphisms in Pre-miRNA on Inflammatory Markers in Atrial Fibrillation in Han Chinese.

BACKGROUND: MicroRNA molecules have been identified to play key roles in a broad range of physiological and pathological processes. Polymorphisms in the corresponding sequence space are likely to make a significant con-tribution to phenotypic variation. The aim of this study was to evaluate the pre-miR-146a C/G (rs2910164) and pre-miR-499 T/C (rs3746444) polymorphisms and their putative association with inflammatory markers in AF in Han Chinese. METHODS: A total of 123 participants were enrolled, 65 AF patients were confirmed with electrocardiogram (ECG) or dynamic electrocardiography, 58 normal individuals were assigned to the control group. RESULTS: Genotypes of the pre-miR-146a C/G (rs2910164) and pre-miR-499 T/C (rs3746444) polymorphisms were distinguished using the method of polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) assay. The distribution of the pre-miR-146a C/G (rs2910164) genotypes CC, CG, and GG was 33.85%, 52.31%, and 13.84% in the AF group and 37.93%, 51.72%, and 10.35% in the controls, respectively. There was no significant difference in either genotype frequency distributions (p = 0.7973) or allele frequency distributions (p = 0.5411) between these two groups. The distribution of the pre-miR-499 T/C (rs3746444) genotypes TT, TC, and CC was 72.41%, 22.41%, and 5.18% in the controls and 49.23%, 38.46%, and 12.31% in AF subjects, respec-tively (p = 0.0296). The frequency of the C allele in the AF group was significantly higher than that in the control group (31.54% vs. 16.38%, p = 0.0057). Compared with the TT genotype, the C allele carriers (TC+CC genotypes) had a 2.7070-fold increased risk of AF. After being adjusted for age, gender, leucocytes, left atrial dimension, left ventricular ejection fraction, serum levels of lipids, and inflammatory markers, the association persisted (adjusted OR = 2.3387, 95% CI =1.1094 - 4.9300, p = 0.0280). Individuals with TC+CC genotype in pre-miR-499 T/C (rs3746444) had greater serum levels of IL-6 and hs-CRP than did patients with the TT genotype. CONCLUSIONS: Our data support that the pre-miR-499 T/C (rs3746444) polymorphism is associated with AF, and the C allele has increased risk for AF in Han Chinese.

External evaluation of population pharmacokinetic models for ciclosporin in adult renal transplant recipients.

AIMS: Several population pharmacokinetic (popPK) models for ciclosporin (CsA) in adult renal transplant recipients have been constructed to optimize the therapeutic regimen of CsA. However, little is known about their predictabilities when extrapolated to different clinical centres. Therefore, this study aimed to externally evaluate the predictive ability of CsA popPK models and determine the potential influencing factors. METHODS: A literature search was conducted and the predictive performance was determined for each selected model using an independent data set of 62 patients (471 predose and 500 2-h postdose concentrations) from our hospital. Prediction-based diagnostics and simulation-based normalized prediction distribution error were used to evaluate model predictability. The influence of prior information was assessed using Bayesian forecasting. Additionally, potential factors influencing model predictability were investigated. RESULTS: Seventeen models extracted from 17 published popPK studies were assessed. Prediction-based diagnostics showed that ethnicity potentially influenced model transferability. Simulation-based normalized prediction distribution error analyses indicated misspecification in most of the models, especially regarding variance. Bayesian forecasting demonstrated that the predictive performance of the models substantially improved with 2-3 prior observations. The predictability of nonlinear Michaelis-Menten models was superior to that of linear compartmental models when evaluating the impact of structural models, indicating the underlying nonlinear kinetics of CsA. Structural model, ethnicity, covariates and prior observations potentially affected model predictability. CONCLUSIONS: Structural model is the predominant factor influencing model predictability. Incorporation of nonlinear kinetics in CsA popPK modelling should be considered. Moreover, Bayesian forecasting substantially improved model predictability.

Pharmacokinetics Evaluation of Mycophenolic Acid and Its Glucuronide Metabolite in Chinese Renal Transplant Recipients Receiving Enteric-Coated Mycophenolate Sodium and Tacrolimus.

BACKGROUND: The aim of this study was to characterize the pharmacokinetics of mycophenolic acid (MPA) and MPA glucuronide (MPAG) in Chinese renal transplant patients taking enteric-coated mycophenolate sodium (EC-MPS). Limited sampling strategies (LSSs) were developed to estimate the area under the concentration curve from 0 to 12 hours (AUC0-12h) of total and free MPA. Another objective was to investigate the correlation between high-performance liquid chromatography (HPLC) and enzyme-multiplied immunoassay technology (EMIT) for total MPA determination. METHODS: Serial blood samples were collected over 12 hours from 15 patients who were administered multiple doses of EC-MPS. LSS was developed by multiple stepwise regression analysis. Measurement by HPLC and EMIT was compared using Passing-Bablok regression and Bland-Altman analysis. RESULTS: Normalized to 720 mg twice daily, the AUC0-12h of total MPA and MPAG was 43.0 ± 17.4 and 653 ± 329 mg·h/L, respectively, whereas the free MPA AUC0-12h was 1.368 ± 0.988 mg·h/L. The free fraction of MPA was 3.01% ± 3.15%. The combination of C2h-C4h-C6h and C2h-C4h-C6h-C8h was found to be superior to estimate total and free MPA simultaneously. The EMIT showed an acceptable correlation with HPLC, with an AUC0-12h overestimation of 11.32% ± 15.77%. CONCLUSIONS: The pharmacokinetic profile of total and free MPA and its main metabolite MPAG was examined in Chinese adult renal transplant patients receiving EC-MPS. The use of LSS to estimate individual free and total MPA exposure could be useful in optimizing patient care.

External evaluation of published population pharmacokinetic models of tacrolimus in adult renal transplant recipients.

AIM: Several tacrolimus population pharmacokinetic models in adult renal transplant recipients have been established to facilitate dose individualization. However, their applicability when extrapolated to other clinical centres is not clear. This study aimed to (1) evaluate model external predictability and (2) analyze potential influencing factors. METHODS: Published models were screened from the literature and were evaluated using an external dataset with 52 patients (609 trough samples) collected by postoperative day 90 via methods that included (1) prediction-based prediction error (PE%), (2) simulation-based prediction- and variability-corrected visual predictive check (pvcVPC) and normalized prediction distribution error (NPDE) tests and (3) Bayesian forecasting to assess the influence of prior observations on model predictability. The factors influencing model predictability, particularly the impact of structural models, were evaluated. RESULTS: Sixteen published models were evaluated. In prediction-based diagnostics, the PE% within ±30% was less than 50% in all models, indicating unsatisfactory predictability. In simulation-based diagnostics, both the pvcVPC and the NPDE indicated model misspecification. Bayesian forecasting improved model predictability significantly with prior 2-3 observations. The various factors influencing model extrapolation included bioassays, the covariates involved (CYP3A5*3 polymorphism, postoperative time and haematocrit) and whether non-linear kinetics were used. CONCLUSIONS: The published models were unsatisfactory in prediction- and simulation-based diagnostics, thus inappropriate for direct extrapolation correspondingly. However Bayesian forecasting could improve the predictability considerably with priors. The incorporation of non-linear pharmacokinetics in modelling might be a promising approach to improving model predictability.

[The determination and clinical application of inosine 5'-monophosphate dehydrogenase activity].

Inosine 5'-monophosphate dehydrogenase(IMPDH) is a rate-limiting enzyme in de novo biosynthesis of guanine and plays an important role in cell proliferation. In clinic, IMPDH inhibitors are mainly used in fields of anticancer, antiviral, anti-parasitic, and immunosuppressive chemotherapy. However, since there are usually great inter- and intra-individual variability between drug concentration and clinical effect of IMPDH inhibitors, the enzyme activity of IMPDH may be applied as a specific biomarker and combined with the pharmacokinetics (PK) monitoring to improve efficacy and safety of IMPDH inhibitors. This review aims to discuss the assay of IMPDH activity measurement and its clinical application in recent years and provide valuable insights and theoretical basis for the development of IMPDH inhibitors' pharmacodynamics monitoring.

[Interferon-γ Induced by Toxoplasma gondii Excreted/Secreted Antigens Promotes Apoptosis of CD4+CD25+ Regulatory T Cells].

Objective: To investigate the effect of excreted/secreted antigens (ESAs) from Toxoplasma gondii RH strain and TgCtwh3 strain on apoptosis of CD4+CD25+ regulatory T cells and interferon-γ (IFN-γ) secretion. Methods: ESAs of Toxoplasma gondii RH strain and TgCtwh3 strain were prepared. Splenic mononuclear cells were isolated from C57BL/6 mice and randomly divided into RH ESA group（2×106 cells/well with addition of 10 µg/ml RH ESA）, TgCtwh3 ESA group （2×106 cells/well with addition of 10 µg/ml TgCtwh3 ESA） and control group（2×106 cells/well with addition of 10 µg/ml ovalbumin）. Flow cytometry was performed to examine the early apoptosis of CD4+CD25+ regulatory T cells after treatment for 48 h and 72 h. ELISA was conducted to determine the level of IFN-γ in the supernatant after treatment for 72 h. In another experiment, the 3 groups of splenic mononuclear cells were added with 10 µg/ml anti-IFN-γ antibody for 72 h and flow cytometry was performed to examine the early apoptosis of CD4+CD25+ regulatory T cells. Meanwhile, splenic mononuclear cells from IFN-γ knockout and wild-type C57BL/6 mice were also divided into the above-described 3 groups, and flow cytometry was performed to examine the early apoptosis of CD4+CD25+ regulatory T cells after treatment for 72 h. Results: The concentrations of RH ESA and TgCtwh3 ESA were 0.54 mg/ml and 2.14 mg/ml, respectively. Flow cytometry showed that the early apoptosis rate of CD4+CD25+ regulatory T cells in the RH ESA group and the TgCtwh3 ESA group after 48 h treatment was （12.90±1.26）% and （9.71±1.04）%, respectively （P＜0.05）, both significantly higher than that in control group （4.48±0.48）% （P<0.01） . The early apoptosis rate of CD4+CD25+ regulatory T cells after 72 h in the RH ESA group was（15.21±1.11）%, significantly higher than that in the TgCtwh3 ESA group[（11.02±0.92）%] （P<0.05） and the control group[（10.10±1.49）%]（P<0.01）. ELISA showed that the level of interferon-γ in the RH ESA group and the TgCtwh3 ESA group after 72 h was（4 764.0±118.7） pg/ml and （3 629.0±33.6） pg/ml, respectively （P＜0.01）, both significantly higher than that in the control［（679.4±30.6） pg/ml］（P<0.01）. Flow cytometry revealed lower early apoptosis rate of CD4+CD25+ regulatory T cells in the RH ESA group added with anti-IFN-γ antibody［（10.44±1.44）%ï¼½ compared with that without the addition of the antibody［（14.96±0.83）］（P<0.05）. But this difference was not observed for the TgCtwh3 ESA group. Moreover, the RH ESA-induced apoptosis rate of regulatory T cells from IFN-γ knockout mice［（10.64±0.55）%ï¼½ was significantly lower than that from the wild-type mice ［（15.21±1.11）%］（P<0.01）. But this difference was not found for the TgCtwh3 ESA treatment. Conclusion: T. gondii RH ESA induces apoptosis of CD4+CD25+ regulatory T cells and IFN-γ secretion, and these effects are stronger than those of TgCtwh3 ESA. The T. gondii ESA-induced IFN-γ stimulates generation of anti-Toxoplasma immunity during acute Toxoplasma infection through mediation of regulatory T cell apoptosis.

The quantitative and functional changes of NK cells in mice infected with Angiostrongylus cantonensis.

Angiostrongylus cantonensis is a neurotropic parasite which can cause injury to central nervous system and eosinophilic meningitis to human. Natural killer (NK) cells are specialized innate lymphocytes important in early defense against pathogens as in a variety of intracellular bacterial, viral, and protozoan infections. However, the number and function of NK cells in extracellular parasitic infection of A. cantonensis are unclear. In this study, on A. cantonensis infected mice which may mimic the human's infection, we found that the percentage of splenic NK cells and the absolute number of peripheral blood NK cells were decreased at 21-day post infection compared with that of controls. When administrating with albendazole treatment at early stage of the infection, the changes of NK cells could be avoided. Further analysis confirmed that the reduction of NK cells was due to their apoptosis manifested as increased expressions of annexin V and activated caspase-3 after 16-day post infection. Moreover, both activated and inhibitory receptors such as CD16, CD69, NKG2D, and Ly49a on NK cells were down-regulated after 16-day post infection. Interestingly, NK cells isolated from mice of 21-day post infection showed enhanced IFN-γ production when stimulated with IL-12 for 24 h and cytotoxicity to YAC-1 cells, as well as elevated CD107a expression. It is evident that NK cell population and its function were changed in A. cantonensis infected mice, suggesting their involvement in pathogenesis of the infection.

Rhabdomyolysis associated with concomitant use of colchicine and statins in the real world: identifying the likelihood of drug-drug interactions through the FDA adverse event reporting system.

Background: Currently, there remains substantial controversy in research regarding whether the concomitant use of colchicine and statins increases the occurrence of rhabdomyolysis, warranting further substantiation. Objective: This study aimed to identify the likelihood drug-drug interactions (DDIs) for the co-administration of colchicine and statins resulting in rhabdomyolysis. Methods: A disproportionality analysis was conducted by using data sourced from the US Food and Drug Administration Adverse Event Reporting System (FAERS) to detect rhabdomyolysis signals associated with the combined use of colchicine and statins. The association between (colchicine/statins/colchicine and statins) and rhabdomyolysis were evaluated using information component (IC). DDI signals were calculated based on the Ω shrinkage measure and Bayesian confidence propagation neural network (BCPNN) method. Furthermore, stratification was performed based on colchicine and individual statins agents. Results: In total, 11,119 reports of rhabdomyolysis were identified in the FAERS database, 255 (2.29%) involved both colchicine and statins. Our analysis showed potential DDI signals of rhabdomyolysis (Ω025 = 1.17) among individuals concurrent use of colchicine and statins. Moreover, further drug-specific analysis suggests DDI signals in the colchicine-atorvastatin pair (Ω025 = 1.12), and colchicine-rosuvastatin pair (Ω025 = 1.05), along with a higher proportion of rhabdomyolysis (IC025 = 5.20) and (IC025 = 4.26), respectively. Conclusion: The findings suggest that concomitant use of colchicine and statins may increase the risk of rhabdomyolysis, particularly when combined with atorvastatin or rosuvastatin. Therefore, healthcare professionals should pay special attention to life-threatening AE such as rhabdomyolysis, when co-prescribing colchicine statins.

Reassessment of pioglitazone and bladder cancer based on FAERS database.

BACKGROUND: The association between pioglitazone (PLZ) and bladder cancer (BC) remains controversial in several randomized control trials, meta-analyses of multiple prospective studies, and large-scale observational studies. RESEARCH DESIGN AND METHODS: Adverse event (AE) data from 1 January 2004 to 31 March 2024 were extracted from the Food and Drug Administration Adverse Event Reporting System (FAERS) database. Disproportionality analysis were applied to quantify the signals of PLZ related BC. RESULTS: In total, 17,627,524 AE reports were recorded in the FAERS database, of which 1366 were PLZ-related BCs. More male than female patients were reported. The median age of patients was 70 years old. The peak in the annual report occurred in 2011. A total of 602 AEs reported time to onset (TTO) and the median TTO was 1023 days. In this study, BC and BC recurrence were strong signal, whereas BC stage 0 (with cancer in situ), stage ii and iii were weak signals. CONCLUSIONS: This study comprehensively demostrated the PLZ-induced risk of BC in patients with diabetes mellitus using the FAERS database. The results demonstrated that the patients treated with PLZ were more likely to develop BC. The male and aging attributed more cases to BC-related reports of PLZ treated patients.

Genome-Wide Identification and Co-Expression Networks of WOX Gene Family in Nelumbo nucifera.

WUSCHEL-related homeobox (WOX) genes are a class of plant-specific transcription factors, regulating the development of multiple tissues. However, the genomic characterizations and expression patterns of WOX genes have not been analyzed in lotus. In this study, 15 NnWOX genes were identified based on the well-annotated reference genome of lotus. According to the phylogenetic analysis, the NnWOX genes were clustered into three clades, i.e., ancient clade, intermediate clade, and WUS clade. Except for the conserved homeobox motif, we further found specific motifs of NnWOX genes in different clades and divergence gene structures, suggesting their distinct functions. In addition, two NnWOX genes in the ancient clade have conserved expression patterns and other NnWOX genes exhibit different expression patterns in lotus tissues, suggesting a low level of functional redundancy in lotus WOX genes. Furthermore, we constructed the gene co-expression networks for each NnWOX gene. Based on weighted gene co-expression network analysis (WGCNA), ten NnWOX genes and their co-expressed genes were assigned to the modules that were significantly related to the cotyledon and seed coat. We further performed RT-qPCR experiments, validating the expression levels of ten NnWOX genes in the co-expression networks. Our study reveals comprehensive genomic features of NnWOX genes in lotus, providing a solid basis for further function studies.

Sodium-glucose co-transporter-2 inhibitor (SGLT2i) treatment and risk of osteomyelitis: A pharmacovigilance study of the FAERS database.

Background and purpose: Several clinical trials have indicated that the use of canagliflozin increases the risk of lower extremity amputation. Although the US Food and Drug Administration (FDA) has withdrawn its black box warning about amputation risk for canagliflozin, the risk still exists. We sought to estimate the association between hypoglycemic medications, especially sodium-glucose co-transporter-2 inhibitors (SGLT2is), and adverse events (AEs) before the irreversible outcome of amputation as a promising early warning, based on the FDA Adverse Event Reporting System (FAERS) data. Methods: Publicly available FAERS data were analyzed using a reporting odds ratio (ROR) method and validated by a Bayesian confidence propagation neural network (BCPNN) method. The developing trend of the ROR was investigated by a series of calculations based on the accumulation of data in the FAERS database quarter by quarter. Results: Ketoacidosis, infection, peripheral ischemia, renal impairment, and inflammation including osteomyelitis might be more likely to occur among users of SGLT2is, especially canagliflozin. Osteomyelitis and cellulitis are AEs unique to canagliflozin. Among 2,888 osteomyelitis-related reports referring to hypoglycemic medications, 2,333 cases were associated with SGLT2is, with canagliflozin accounting for 2,283 of these cases and generating an ROR value of 360.89 and a lower limit of information component (IC025) of 7.79. No BCPNN-positive signal could be generated for drugs other than insulin and canagliflozin. Reports suggesting that insulin could generate BCPNN-positive signals span from 2004 to 2021, whereas reports with BCPNN-positive signals emerged only since the second quarter (Q2) of 2017, 4 years since the approval of SGLT2is in Q2 of 2013, for canagliflozin and drug groups containing canagliflozin. Conclusion: This data-mining investigation revealed a strong association between canagliflozin treatment and developing osteomyelitis that might be a crucial forewarning to lower extremity amputation. Further studies with updated data are needed to better characterize the risk of osteomyelitis associated with SGLT2is.

Population Pharmacokinetic Modeling Combined With Machine Learning Approach Improved Tacrolimus Trough Concentration Prediction in Chinese Adult Liver Transplant Recipients.

This study aimed to develop and evaluate a population pharmacokinetic (PPK) combined machine learning approach to predict tacrolimus trough concentrations for Chinese adult liver transplant recipients in the early posttransplant period. Tacrolimus trough concentrations were retrospectively collected from routine monitoring records of liver transplant recipients and divided into the training data set (1287 concentrations in 145 recipients) and the test data set (296 concentrations in 36 recipients). A PPK model was first established using NONMEM. Then a machine learning model of Xgboost was adapted to fit the estimated individual pharmacokinetic parameters obtained from the PPK model with Bayesian forecasting. The performance of the final PPK model and Xgboost model was compared in the test data set. In the final PPK model, tacrolimus daily dose, postoperative days, hematocrit, aspartate aminotransferase, and concomitant voriconazole, were identified to significantly influence the clearance. The postoperative days along with hematocrit significantly influence the volume of distribution. In the Xgboost model, the first 5 predictors for predicting the clearance were concomitant with voriconazole, sex, single nucleotide polymorphisms of CYP3A4*1G and CYP3A5*3 in recipients, and tacrolimus daily dose, for the volume of distribution were postoperative days, age, weight, total bilirubin and graft : recipient weight ratio. In the test data set, the Xgboost model showed the minimum median prediction error of tacrolimus concentrations, less than the PPK model with or without Bayesian forecasting. In conclusion, a PPK combined machine learning approach could improve the prediction of tacrolimus concentrations for Chinese adult liver transplant recipients in the early posttransplant period.

Major adverse cardiovascular events associated with testosterone treatment: a pharmacovigilance study of the FAERS database.

Background and purpose: Testosterone is an essential sex hormone in maintaining masculine characteristics, which is prescribed for male hypogonadism as testosterone replacement treatment (TRT). Herein, we investigated long-standing controversies about the association between TRT and major adverse cardiovascular events (MACEs), based on real world adverse event (AE) reports, registered in the Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: Publicly available FAERS data from 1 January 2004 to 31 December 2022 were retrieved from the Food and Drug Administration (FDA) website. The data mining protocol including the reporting odds ratio (ROR) and the Bayesian confidence propagation neural network (BCPNN) was applied to analyze overreporting caused by risk factors and MACEs, including TRT, morbidities, and ages. The ROR and the BCPNN were also applied to investigate the annually developing trend of pharmacovigilance (PV) signals in the real world, retrospectively. Results: A total of 3,057 cases referring to MACEs, with a median age of 57 years old (yo), were identified from 28,921 cases of testosterone users. MACEs related to PV signals have emerged since 2014, including cardiac death, non-fatal myocardial infarction, and non-fatal stroke. Myocardial infarction (MI) (ROR: 9.46; IC025: 3.08), acute myocardial infarction (AMI) (ROR: 16.20; IC025: 3.72), ischemic cardiomyopathy (ROR: 11.63; IC025: 2.20), and cardiomyopathy (ROR: 5.98; IC025: 1.96) were the most significant signals generated, and weaker signals included cardiac failure acute (ROR: 4.01; IC025: 0.71), cardiac arrest (ROR: 1.88; IC025: 0.56), and ventricular fibrillation (VF) (ROR: 2.38; IC025: 0.38). The time-to-onset (TTO) of MACEs was calculated with a median of 246 days for AMI. Conclusion: For myocardial infarction and cardiomyopathy, TRT statistically tended to increase the risk of MACEs, while for cardiac arrhythmia, cardiac failure, and stroke, TRT demonstrated beneficial effects among the population with morbidities, such as testosterone deficiency (TD), diabetes mellitus (DM), and hypertension. MACEs were rare but led to serious outcomes including significant increase in death and disability. Since 2018, and before 2014, reports referring to TRT associated with MACEs were relatively scarce, which indicated that there might be a considerable number of cases that went unrecorded, due to neglection. Health workers and testosterone users might pay more attention to testosterone-induced MACEs.

Skin cancer signal associated with phosphodiesterase inhibitors: gaining insight through the FDA pharmacovigilance database.

BACKGROUND: Panoramic views of post-marketing safety profiles, such as cancer signal, of phosphodiesterase 5A (PDE5A) inhibitors have yet to be fully evaluated. RESEARCH DESIGN AND METHODS: Data from the FDA Adverse Event Reporting System (FAERS) concerning the timeframe between January 1st, 2004 to 30 June 2022 was analyzed through a disproportionality study to understand the association between sildenafil, tadalafil, and vardenafil and cancer. This association was identified using the Reporting odds ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) approaches. RESULTS: Sildenafil associated ROR values and IC025 ranged from 9.19 (95% CI 7.72-10.94, IC025 2.77) for metastatic malignant melanoma to 132.23 (95% CI 95.49-183.11, IC025 4.69) for malignant melanoma stage II. Tadalafil associated ROR and IC025 ranged from 6.79 (95% CI 5.41-8.54, IC025 2.27) for metastatic malignant melanoma to 180.17 (95% CI 130.11-249.50, IC025 4.89) for malignant melanoma stage II. Vardenafil associated ROR and IC025 ranged from 23.38 (95% CI 15.20-35.96, IC025 2.63) for metastatic malignant melanoma to 245.77 (95% CI 154.42-391.16, IC025 2.10) for malignant melanoma stage III. CONCLUSIONS: This study supports the association between sildenafil, tadalafil, and vardenafil with skin cancer signal in erectile dysfunction (ED) patients.

Individual dose recommendations for drug interaction between tacrolimus and voriconazole in adult liver transplant recipients: A semiphysiologically based population pharmacokinetic modeling approach.

The magnitude of drug-drug interaction between tacrolimus and voriconazole is highly variable, and individually tailoring the tacrolimus dose when concomitantly administered with voriconazole remains difficult. This study aimed to develop a semiphysiologically based population pharmacokinetic (semi-PBPK) model and a web-based dashboard to identify the dynamic inhibition of tacrolimus metabolism caused by voriconazole and provide individual tacrolimus regimens for Chinese adult liver transplant recipients. A total of 264 tacrolimus concentrations and 146 voriconazole concentrations were prospectively collected from 32 transplant recipients. A semi-PBPK model with physiological compartments including the gut wall, portal vein, and liver was developed using the nonlinear mixed-effects modeling software NONMEM (version 7.4). A web-based dashboard was established in R software (version 3.6.1) to recommend the individual tacrolimus regimens when concomitantly administered with voriconazole. The reversible inhibition of tacrolimus metabolism caused by voriconazole was investigated in both the liver and the gut wall. Moreover, voriconazole could highly inhibit the CYP3A activity in the gut wall more than in the liver. BMI and postoperative days were identified as significant covariates on intrinsic intestinal and hepatic clearance of tacrolimus, respectively. Age and postoperative days were identified as significant covariates on the volume of distribution of voriconazole. The individual tacrolimus regimens when concomitantly administered with voriconazole could be recommended in the dashboard (https://tac-vor-ddi.shinyapps.io/shinyapp3/). In conclusion, the semi-PBPK model successfully described the dynamic inhibition process between tacrolimus and voriconazole, and the web-based dashboard could provide individual tacrolimus regimens when concomitantly administered with voriconazole.