A Framework for Determining the Optimal Vibratory Frequency of Graded Gravel Fillers Using Hammering Modal Approach and ANN.

To address the uncertainty of optimal vibratory frequency fov of high-speed railway graded gravel (HRGG) and achieve high-precision prediction of the fov, the following research was conducted. Firstly, commencing with vibratory compaction experiments and the hammering modal analysis method, the resonance frequency f0 of HRGG fillers, varying in compactness K, was initially determined. The correlation between f0 and fov was revealed through vibratory compaction experiments conducted at different vibratory frequencies. This correlation was established based on the compaction physical-mechanical properties of HRGG fillers, encompassing maximum dry density ρdmax, stiffness Krd, and bearing capacity coefficient K20. Secondly, the gray relational analysis algorithm was used to determine the key feature influencing the fov based on the quantified relationship between the filler feature and fov. Finally, the key features influencing the fov were used as input parameters to establish the artificial neural network prediction model (ANN-PM) for fov. The predictive performance of ANN-PM was evaluated from the ablation study, prediction accuracy, and prediction error. The results showed that the ρdmax, Krd, and K20 all obtained optimal states when fov was set as f0 for different gradation HRGG fillers. Furthermore, it was found that the key features influencing the fov were determined to be the maximum particle diameter dmax, gradation parameters b and m, flat and elongated particles in coarse aggregate Qe, and the Los Angeles abrasion of coarse aggregate LAA. Among them, the influence of dmax on the ANN-PM predictive performance was the most significant. On the training and testing sets, the goodness-of-fit R2 of ANN-PM all exceeded 0.95, and the prediction errors were small, which indicated that the accuracy of ANN-PM predictions was relatively high. In addition, it was clear that the ANN-PM exhibited excellent robust performance. The research results provide a novel method for determining the fov of subgrade fillers and provide theoretical guidance for the intelligent construction of high-speed railway subgrades.

Sijunzi Tang improves gefitinib resistance by regulating glutamine metabolism.

Lung cancer is a major health concern and significant barrier to human well-being and social development. Although targeted therapy has shown remarkable progress in the treatment of lung cancer, the emergence of drug resistance has limited its clinical efficacy. Sijunzi Tang (SJZ) is a classical Chinese herbal formula known for tonifying qi and nourishing the lungs, has been recognized for its potential in lung cancer management. However, the underlying mechanism of its combined use with anti-cancer drugs remains unclear. Here, we investigated the anti-lung cancer efficacy and underlying mechanisms of the combination of gefitinib and SJZ in gefitinib-resistant human lung adenocarcinoma cells (PC-9/GR). We conducted in vitro and in vivo experiments using histopathology and targeted metabolomics approaches. Our results demonstrated that the combination of SJZ and gefitinib exhibited synergistic effects on tumor growth inhibition in PC-9/GR-bearing nude mice. Notably, the co-administration of SJZ and gefitinib synergistically promoted tumor cell apoptosis, potentially through the regulation of BAX and BCL-2 expression. Immunohistochemistry and western blot analysis found down-regulation of GLS, GS, and SLC1A5 expression in the co-administration group compared to the control and the individual treatment groups. Targeted metabolomics revealed significant alterations in the plasma glutamine metabolic markers glutamine, alanine, succinate, glutamate, and pyruvate. Of the glutamine metabolism markers measured in tumor tissues, glutamine and pyruvate demonstrated significant differences across the treatment groups. These findings suggest that administration of SJZ improves gefitinib resistance in the treatment of lung cancer without toxic effects. Moreover, SJZ may affect glutamine metabolism by regulating key targets involved in glutamine metabolism (SLC1A5, GLS, and GS) and modulating the levels of related metabolic markers, ultimately reducing gefitinib resistance.

Improving Dental Implant Outcomes: CNN-Based System Accurately Measures Degree of Peri-Implantitis Damage on Periapical Film.

As the popularity of dental implants continues to grow at a rate of about 14% per year, so do the risks associated with the procedure. Complications such as sinusitis and nerve damage are not uncommon, and inadequate cleaning can lead to peri-implantitis around the implant, jeopardizing its stability and potentially necessitating retreatment. To address this issue, this research proposes a new system for evaluating the degree of periodontal damage around implants using Periapical film (PA). The system utilizes two Convolutional Neural Networks (CNN) models to accurately detect the location of the implant and assess the extent of damage caused by peri-implantitis. One of the CNN models is designed to determine the location of the implant in the PA with an accuracy of up to 89.31%, while the other model is responsible for assessing the degree of Peri-implantitis damage around the implant, achieving an accuracy of 90.45%. The system combines image cropping based on position information obtained from the first CNN with image enhancement techniques such as Histogram Equalization and Adaptive Histogram Equalization (AHE) to improve the visibility of the implant and gums. The result is a more accurate assessment of whether peri-implantitis has eroded to the first thread, a critical indicator of implant stability. To ensure the ethical and regulatory standards of our research, this proposal has been certified by the Institutional Review Board (IRB) under number 202102023B0C503. With no existing technology to evaluate Peri-implantitis damage around dental implants, this CNN-based system has the potential to revolutionize implant dentistry and improve patient outcomes.

The price, efficacy, and safety of within-class targeted anticancer medicines between domestic and imported drugs in China: a comparative analysis.

Background: Affordability to novel anticancer drugs has become a major health issue in China. It is encouraging to note that China initiated its drug regulatory reform and national price negotiation policies since 2015. As a growing number of domestic within-class targeted anticancer drugs are approved in China, it is expected that this may reduce the price of novel anticancer drugs and improve the affordability of anticancer drugs. This study aimed to evaluate the price, efficacy, and safety of the within-class anticancer drugs between domestic and imported drugs approved in China from 2010 to 2022. Methods: The domestic and imported within-class targeted drugs for solid cancers approved in China between 2010 and 2022 were extracted. We classified it as a class of anticancer drugs based on the same indication and similar biological mechanism. The published literature derived from pivotal clinical trials of these domestic and imported drugs was identified based on the review report and the latest labels issued by the China National Medical Products Administration. We evaluated the monthly treatment price at launch and the latest (2022), primary efficacy endpoint and safety between domestic and imported anticancer drugs. Meta-analyses were further employed to evaluate the efficacy and safety of the domestic and imported anticancer drugs, including pooled hazard ratios (HR) for progression-free survival (PFS), overall survival (OS), objective response rates (ORR) for solid cancers, and relative risk for serious adverse events (SAE) and Grade ≥3 adverse events (AEs). Findings: In our cohort study, 12 within-class anticancer drugs with 7 cancer diseases were analyzed, including 18 domestic (21 indications; 21 pivotal trials) and 18 imported (21 indications; 27 pivotal trials) novel anticancer drugs, respectively. The median monthly treatment price of domestic and imported drugs from the years of launch to 2022 had significantly decreased by 71% and 62%, respectively. Moreover, the median monthly treatment price of domestic targeted anticancer drugs on the market at launch ($3786 vs. $5393, P = 0.007) and the latest ($1222 vs. $2077, P = 0.011) was significantly lower than that of imported drugs. No significant differences in median PFS gains (9.0 vs. 11.0 months; P = 0.24), OS gains (9.3 vs 10.6 months; P = 0.66), and ORR (57% vs 62%, P = 0.77) of targeted anticancer drugs in their pivotal trials were observed between the domestic and imported drugs. Additionally, there was no significant difference between domestic and imported drugs in the incidence of SAE (23% vs. 24%; P = 0.41) and Grade ≥3 AEs (59% vs. 57%; P = 0.45). These findings were also further confirmed in the meta-analyses for primary efficacy endpoints and safety outcomes. Interpretation: The prices of both domestic and imported anticancer drugs significantly decreased after market entry mainly due to the role of national price negotiations. The median monthly treatment price of domestic within-class targeted anticancer drugs was significantly lower than that of imported drugs. Furthermore, the efficacy and safety of domestic anticancer drugs were comparable to that of imported drugs. This evidence implicated that the development of within-class anticancer drugs with national price negotiations in China significantly improved the affordability for patients. Funding: This study was supported by postdoctoral fellowship from Tsinghua-Peking Joint Centers for Life Sciences (CLS).

Xihuang Pill enhances anticancer effect of anlotinib by regulating gut microbiota composition and tumor angiogenesis pathway.

Lung cancer poses a serious threat to human health. Although targeted therapies have led to breakthroughs in the treatment of lung cancer, drug resistance and side effects limit their clinical applications. Xihuang pill (XHW), a classical anti-cancer traditional Chinese medicine formula, has been clinically proven to be an effective complementary therapy in the treatment of various of cancers. However, the underlying mechanism for its use in combination with anti-cancer drugs remains unclear. Here, we explored the anti-lung cancer effect of XHW combined with anlotinib in mice bearing Lewis lung cancer (LLC). We used gut microbiota and transcriptomics to elucidate the regulatory properties of XHW in improving anti-lung cancer effect of anlotinib. The results showed that combination treatment of XHW with Anlotinib significantly inhibited tumor growth in LLC-bearing mice. We found that XHW played a key role in the regulation of gut microbiota using 16 s rRNA sequencing analysis. Specifically, XHW increased the proportion of the beneficial bacteria Bacteroides and g_norank_f_Muribaculaceae. Based on transcriptomic analysis of tumor tissues, differentially expressed genes in the combination therapy group were related to biological processes concerning angiogenesis, such as regulation of blood vessel diameter, regulation of tube diameter, and regulation of tube size. Our data suggest that XWH enhances the anticancer effect of anlotinib by regulating gut microbiota composition and tumor angiogenesis pathway. Combination therapy with anlotinib and XHW may be a novel therapeutic strategy for lung cancer patients.

Integrative metabolic profile of myelodysplastic syndrome based on UHPLC-MS.

Myelodysplastic syndrome (MDS) is a neoplastic disease originating from hematopoietic stem cells. Currently, hematopoietic stem cell transplantation (HSCT) is the most effective cure, although lenalidomide, azacytidine, and decitabine have been applied to relieve symptoms of MDS. The purpose of this study was to evaluate the changes in endogenous metabolites by applying a UHPLC-MS (ultra-high-performance liquid chromatography-MS) metabolomics approach and to investigate metabolic pathways related to MDS. An untargeted metabolomics approach based on UHPLC-MS in combination with multivariate data analysis, including partial least squares discrimination analysis and orthogonal partial least squares discriminant analysis, was established to investigate potential biomarkers in the plasma of MDS patients. As a result, 29 biomarkers were identified to distinguish between MDS patients, HSCT patients, and healthy controls, which were mainly related to inflammation regulation, amino acid metabolism, fatty acid metabolism, and energy metabolism. To our knowledge, this is the first time where plasma metabolomics was combined with HSCT to study the pathogenesis and therapeutic target of MDS. The identification of biomarkers and analysis of metabolic pathways could offer the possibility of discovering new therapeutic targets for MDS in the future.

Differential effects of C-reactive protein levels on voriconazole metabolism at three age groups in allogeneic hematopoietic cell transplant recipients.

The aim of this study was to evaluate the impact of inflammation on voriconazole (VRCZ) metabolism at three age groups in the allogeneic hematopoietic cell transplant recipients of the Chinese population. The study was performed with collecting more than one VRCZ trough concentration and C-reactive protein (CRP) levels. Longitudinal analysis, correlation and comparative analysis were conducted to evaluate. A total of 104 patients with 386 VRCZ trough concentration and CRP level measured on the same day were collected. For children, CRP levels significantly associated with VRCZ pharmacokinetics in age 11-18 years but not in age 2-10 years. For adults, VRCZ concentrations were increased slightly by 0.006 mg/L when every 1 mg/L increased in CRP levels. Additionally, meropenem and inflammation might work together to cause a higher VRCZ concentration. Therefore, therapeutic drug monitoring of VRCZ should be warranted at age >10 years in allogeneic hematopoietic cell transplant recipients with elevated CRP level.

Differential Impacts of Azole Antifungal Drugs on the Pharmacokinetic Profiles of Dasatinib in Rats by LC-MS-MS.

BACKGROUND: Dasatinib, as an oral multi-targeted inhibitor of BCR-ABL and SRC family kinases, has been widely used for the treatment of Philadelphia Chromosome Positive Leukemias in imatinib-acquired resistance and intolerance. The study aimed to develop and validate a simple and robust assay with a small volume of plasma based on liquid chromatography coupled with tandem mass spectrometry to determine the concentration of dasatinib and to investigate the impact of the cytochrome 3A4 inhibitors, including ketoconazole, voriconazole, itraconazole and posaconazole, on the pharmacokinetics of dasatinib in rats. METHODS: Thirty rats were divided randomly into five groups, control group (0.5% carboxymethylcellulose sodium), ketoconazole (30 mg/kg) group, voriconazole group (30 mg/kg), itraconazole group (30 mg/kg) and posaconazole group (30 mg/kg). After 150 µL blood samples were collected at 0, 0.5, 1, 2, 4, 6, 8, 10, 12, 24, and 48 h and precipitated with acetonitrile, the plasma concentration of dasatinib was determined through Fluoro- Phenyl column (150 mm×2.1 mm, 3 µm) in a positive ionization mode. RESULTS: The results suggested that ketoconazole, voriconazole, and posaconazole could increase the AUC0-t of dasatinib to varying degrees while significantly reducing its clearance. However, there was no significant impact on the pharmacokinetics of dasatinib, co-administered with itraconazole except for the CL and MRT0-t of dasatinib. Additionally, voriconazole could significantly increase Cmax of dasatinib by approximately 4.12 fold. CONCLUSION: These data indicated that ketoconazole, posaconazole and voriconazole should be cautiously co-administered with dasatinib or close therapeutic drug monitoring of dasatinib concentration, which might cause the drug-drug interaction.

Population pharmacokinetics of cyclosporine in Chinese children receiving hematopoietic stem cell transplantation.

Cyclosporine (CsA) is characterized by a narrow therapeutic window and high interindividual pharmacokinetic variability, particularly in juvenile patients. The aims of this study were to build a population pharmacokinetic model of CsA in Chinese children with hematopathy who received allogeneic hematopoietic stem cell transplantation (allo-HSCT) and to identify covariates affecting CsA pharmacokinetics. A total of 86 Chinese children aged 8.4 ± 3.8 years (range 1.1-16.8 years) who received allo-HSCT were enrolled. Whole blood samples were collected before allo-HSCT. Genotyping was performed using an Agena MassARRAY system. A total of 1010 trough plasma concentration values of CsA and clinical data were collected. The population pharmacokinetic model of CsA was constructed using nonlinear mixed-effects modeling (NONMEM) software. The stability and performance of the final model were validated using bootstrapping and normalized prediction distribution errors. We showed that a one-compartment model with first-order elimination adequately described the pharmacokinetics of CsA. The typical values for clearance (CL) and volume of distribution (V) were 42.3 L/h and 3100 L, respectively. Body weight, postoperative days, CYP3A4*1 G genotype, estimated glomerular filtration rate and coadministration of triazole antifungal drugs were identified as significant covariates for CL. Weight and postoperative days were significant covariates for the V of CsA. Our model can be adopted to optimize the CsA dosing regimen for Chinese children with hematopathy receiving allo-HSCT.

The impact of azole antifungal drugs on imatinib metabolism in human liver microsomes.

1. Imatinib is widely used for the treatment of hematologic malignancies. It is common that imatinib is clinically co-prescribed with azole antifungal agents since these patients are more prone to invasive antifungal infection. The present study was to investigate the effects of azole antifungal drugs, including ketoconazole, fluconazole, voriconazole, itraconazole and posaconazole on imatinib metabolism. 2. The main metabolites, 1-OH midazolam and N-desmethyl imatinib, were determined in the absence and in the presence of various levels of ketoconazole, fluconazole, voriconazole, itraconazole and posaconazole. The relevant assay was also performed to screen mechanism-based inhibitors (MBI). 3. The inhibition ability of 1-OH midazolam formation from midazolam based on IC50 values was ketoconazole (0.09 µM)>itraconazole (0.31 µM)> posaconazole (0.68 µM)>voriconazole (2.10 µM) > fluconazole (8.90 µM). Similarly, the rank order of inhibitory effects on formation of N-desmethyl imatinib from imatinib was ketoconazole (4.58 µM)>itraconazole (17.45 µM)> posaconazole (31.02 µM)> voriconazole (367.9 µM) >fluconazole (1.11 mM). Posaconazole and itraconazole displayed evidence of MBI. Additionally, imatinib was also shown as a MBI of CYP3A with IC50 value of 5.40 µM against the midazolam. 4. The significant difference in IC50 values of midazolam and imatinib inhibited by azole antifungal agents was observed. The role of CYP2C8 in imatinib metabolism and imatinib autoinhibits CYP3A activity may explain this difference. Our findings suggest that the azole antifungal agents might have limited impacts on imatinib exposure by CYP3A activity.