MgIG exerts therapeutic effects on crizotinib-induced hepatotoxicity by limiting ROS-mediated autophagy and pyroptosis.

Crizotinib (CRIZO) has been widely employed to treat non-small-cell lung cancer. However, hepatic inflammatory injury is the major toxicity of CRIZO, which limits its clinical application, and the underlying mechanism of CRIZO-induced hepatotoxicity has not been fully explored. Herein, we used cell counting kit-8 assay and flow cytometry to detect CRIZO-induced cytotoxicity on human hepatocytes (HL-7702). CRIZO significantly reduced the survival rate of hepatocytes in a dose-dependent manner. Furthermore, the reactive oxygen species (ROS) assay kit showed that CRIZO treatment strongly increased the level of ROS. In addition, CRIZO treatment caused the appearance of balloon-like bubbles and autophagosomes in HL-7702 cells. Subsequently, Western blotting, quantitative real-time PCR and ELISA assays revealed that ROS-mediated pyroptosis and autophagy contributed to CRIZO-induced hepatic injury. Based on the role of ROS in CRIZO-induced hepatotoxicity, magnesium isoglycyrrhizinate (MgIG) was used as an intervention drug. MgIG activated the Nrf2/HO-1 signalling pathway and reduced ROS level. Additionally, MgIG suppressed hepatic inflammation by inhibiting NF-κB activity, thereby reducing CRIZO-induced hepatotoxicity. In conclusion, CRIZO promoted autophagy activation and pyroptosis via the accumulation of ROS in HL-7702 cells. MgIG exerts therapeutic effects on CRIZO-induced hepatotoxicity by decreasing the level of ROS.

Comparison of dual mTORC1/2 inhibitor AZD8055 and mTORC1 inhibitor rapamycin on the metabolism of breast cancer cells using proton nuclear magnetic resonance spectroscopy metabolomics.

Dual mTORC1/2 inhibitors may be more effective than mTORC1 inhibitor rapamycin. Nevertheless, their metabolic effects on breast cancer cells have not been reported. We compared the anti-proliferative capacity of rapamycin and a novel mTORC1/2 dual inhibitor (AZD8055) in two breast cancer cell lines (MDA-MB-231 and MDA-MB-453) and analyzed their metabolic effects using proton nuclear magnetic resonance (1H NMR) spectroscopy-based metabolomics. We found that AZD8055 more strongly inhibited breast cancer cell proliferation than rapamycin. The half-inhibitory concentration of AZD8055 in breast cancer cells was almost one-tenth that of rapamycin. We identified 22 and 23 metabolites from the 1H NMR spectra of MDA-MB-231 and MDA-MB-453 cells. The patterns of AZD8055- and rapamycin-treated breast cancer cells differed significantly; we then selected the metabolites that contributed to these differences. For inhibiting glycolysis and reducing glucose consumption, AZD8055 was likely to be more potent than rapamycin. For amino acids metabolism, although AZD8055 has a broad effect as rapamycin, their effects in degrees were not exactly the same. AZD8055 and rapamycin displayed cell-specific metabolic effects on breast cancer cells, a finding that deserves further study. These findings help fill the knowledge gap concerning dual mTORC1/2 inhibitors and provide a theoretical basis for their development.

Trough polymyxin B plasma concentration is an independent risk factor for its nephrotoxicity.

AIMS: Data regarding clinical pharmacokinetic/toxicodynamic (PK/TD) of polymyxin B is short of direct quantitative data. This study aims to investigate the risk factors of polymyxin B associated acute kidney injury (AKI) and to assess the relationship between polymyxin B plasma levels and its nephrotoxicity. METHODS: A retrospective study was performed in adult patients treated with polymyxin B. Risk factors associated with AKI and plasma trough concentrations of polymyxin B were identified via medical record review. A multivariate logistic regression model was established and the risk of polymyxin B-associated AKI were predicted by a receiver operating characteristic curve, with maximal Youden index used to identify safety thresholds among the study population. RESULTS: Fifty-four adult patients were included in the study. AKI was detected in 14 patients during polymyxin B treatment (25.9%, 14 out of 54). Cmin (odds ratio [OR] 2.071; 95% confidence interval [CI] 1.235-3.472) and baseline serum creatinine (OR 1.024; 95% CI 1.005-1.043) were significant independent risk factors for developing AKI. The area under the ROC curve of the combined predictor was larger based on the above factors. When the Youden index was at maximum, the optimal cut-off point was 6.678 of the ROC curve. When Cmin ≥ 3.13 mg/L, the probability of AKI was more than 50%. CONCLUSION: In this study, when the calculated combined predictor value was >6.678, there was an increased risk of AKI. Maintaining a polymyxin B Cmin level below 3.13 mg/L may be helpful in reducing the incidence of polymyxin B associated nephrotoxicity.

Population pharmacokinetic and optimization of polymyxin B dosing in adult patients with various renal functions.

AIMS: Current FDA-approved label recommends that the dosage of polymyxin B should be adjusted according to renal function. However, the correlation between polymyxin B pharmacokinetics (PK) and creatinine clearance (CrCL) is poor. This study aimed to develop a population PK model of polymyxin B in adult patients with various renal functions and to identify a dosing strategy. METHODS: A retrospective PK study was performed in 32 adult patients with various renal function. Nonlinear mixed effects modelling was applied to build a population PK model of polymyxin B followed by Monte Carlo simulations which designed polymyxin B dosing regimens across various renal function. RESULTS: Polymyxin B PK analyses included 112 polymyxin B concentrations at steady state from 32 adult patients, in which 71.9% of them were critically ill. In the final PK model, CrCL was the significant covariate on CL (typical value 1.59 L/h; between-subject variability 13%). The mean (SD) individual empirical Bayesian estimate of CL was 1.75 (0.43) L/h. In addition, a new dosing strategy combining the PK/pharmacodynamic (PD) targets and Monte Carlo simulation indicated that the reduction of polymyxin B dose in patients with renal insufficiency improved the probability of achieving optimal exposure. For severe infections caused by organisms with minimum inhibitory concentration (MIC) ≥ 2 mg/L, a high daily dose of polymyxin B might be possible for bacterial eradication, but the risk of nephrotoxicity is increased. CONCLUSIONS: Renal function plays a significant role in polymyxin B PK, and the dose of polymyxin B should be adjusted according to CrCL in patients with renal insufficiency.

TDM-guided medication of polymyxin B in a patient with CRKP-induced bloodstream infection: a case report.

The narrow therapeutic window of polymyxin B constrains its clinical use against the multidrug-resistant organisms (MDRO). A 45-year-old patient was suffering with bloodstream infection with high fever and received a combined treatment with polymyxin B and tigecycline. Therapeutic drug monitoring (TDM) was applied to polymyxin B to develop a personalized medication against MDRO. The dose adjustment of polymyxin B with TDM successfully alleviated the infection and reduced the incident of acute kidney injury as caused in case of the original doses of polymyxin B. TDM of polymyxin B represents a valid treatment to ensure the efficiency and safety.

Anaplastic lymphoma kinase tyrosine kinase inhibitor-induced hepatic failure in lung cancer patients: A study of signal mining and analysis of the FDA adverse event reporting system database.

WHAT IS KNOWN AND OBJECTIVE: Anaplastic Lymphoma Kinase Tyrosine Kinase Inhibitors (ALK TKIs) are standard first-line therapy for non-small cell lung cancer patients with ALK rearrangement. Although some cases of hepatotoxicity related to these drugs have been reported, there is still a lack of investigation on severe hepatotoxicity, such as hepatic failure, with ALK TKIs. METHODS: We evaluated ALK TKI (crizotinib, alectinib, brigatinib, ceritinib and lorlatinib)-induced hepatic failure events (AIHFEs), by using the Reporting Odds Ratio (ROR) and Bayesian Confidence Propagation Neural Network method for mining the adverse event report signals in the FDA Adverse Event Reporting System (FAERS) database from Jan 2013 to Dec 2019. RESULTS AND DISCUSSION: The AIHFEs of "Hepatic failure," "hepatitis fulminant" and "hepatic necrosis" were defined as exposure event signals caused by ALK TKIs. The RORs of "Hepatic failure" were 4.95 (2.36-10.42) in alectinib, 3.77 (1.69-8.40) in ceritinib and 2.45 (1.60-3.76) in crizotinib, respectively. The ROR of "hepatitis fulminant" was 7.86 (3.52-17.54) in crizotinib. The Information Component value of "hepatic necrosis" was 1.97 (0.15) in alectinib. In reports of exposure-event signals, the clinical outcome of eventual death was common and could occur within 3 months. In the reports of "hepatic failure," there was no significant difference in the number of reports between men and women [OR=1.86 (0.94-3.67), p = 0.09]. WHAT IS NEW AND CONCLUSIONS: By mining the adverse event report signals in the FAERS database, we found the exposure event signals of AIHFEs in ALK TKIs were "hepatic failure," "hepatitis fulminant" and "hepatic necrosis". AIHFEs were more likely to appear in the reports of ceritinib, crizotinib and alectinib.

Single preloaded piezoelectric-ceramic-stack-actuator-based fast steering mirror with an ultrahigh natural frequency.

To meet the requirements of the adaptive optics systems with high bandwidths and large excursion angles, we propose a fast steering mirror (FSM) with an ultrahigh natural frequency and a large angular range. The proposed FSM is driven by a preloaded piezoelectric ceramic stack actuator (PCSA), which has a higher shear stress limit in the working direction. We describe the structure of the preloading device and analyze the stiffness improvement of the preloaded PCSA. Then we introduce the structure of the proposed FSM and perform theoretical analysis based on the established static model and dynamical model. We also build an experimental setup of the proposed FSM. The experimental results show that the angular range of the proposed FSM is up to 8.4 mrad, and its first natural frequency is 6660 Hz, which surpass the performances of current FSMs.

Linezolid and the risk of lactic acidosis: Data mining and analysis of the FDA Adverse Event Reporting System.

WHAT IS KNOWN AND OBJECTIVE: Lactic acidosis (LA) is a rare but potentially lethal side effect of linezolid (LZD). However, limited by the study population, the number of patients with LA is insufficient to summarize all the clinical characteristics and risk factors. METHODS: We evaluated the association between LZD and LA using the reporting odd ratio (ROR) for mining the adverse event report signals in the FDA Adverse Event Reporting System database from January 2013 to December 2019. RESULTS AND DISCUSSION: There were 6218 reports of LZD as the primary suspected drug or secondary suspected drug, of which 275 (4.42%) reports were of LA. The ROR of LA with the use of LZD was 39.976 (95% CI 35.365-45.189). In the age composition of patients, elderly individuals (aged ≥60 years) accounted for the higher proportion, 42.54% (n = 117). LA usually occurred two weeks after LZD administration (n = 33). LZD was the unique suspected drug, accounting for 37.45% (n = 103) of all reports of LA. The drug with the most frequent occurrence of combination with LZD was 'meropenem' and 'warfarin'. WHAT IS NEW AND CONCLUSIONS: The ROR of LA caused by LZD was very high, and the number of reports about LA caused by other antibiotics was significantly different from that of LA caused by LZD. The drug combined with LZD did not seem to affect the occurrence of LA, and the high occurrence of warfarin in the reports deserves the attention of doctors.

Clinical characteristics and risk factors of severe hyponatremia in cirrhotic patients treated with terlipressin.

WHAT IS KNOWN AND OBJECTIVE: As terlipressin becomes more widely used in clinical practice, more papers had reported the correlation between hyponatremia and terlipressin treatment. This study was performed to evaluate the clinical characteristics and risk factors of severe hyponatremia in cirrhotic patients treated with terlipressin and the effects of concomitant drugs. METHODS: We conducted a retrospective evaluation of patients with cirrhosis treated with terlipressin at the gastroenterology department of Hospital between 1 January 2016 and 30 June 2018. Patients treated with terlipressin for gastrointestinal bleeding due to peptic ulcer and other non-hepatic factors were excluded. RESULTS AND DISCUSSION: After the patients received terlipressin, their serum sodium concentrations decreased from 138.2 ± 4.3 mmol/L to 129.3 ± 7.2 mmol/L. Statistically significant differences were observed with respect to sex, initial serum sodium concentration, lowest serum sodium concentration, hyponatremia duration and total drug dose. Among the patients with hyponatremia, statistically significant differences in albumin level, serum creatinine level, hyponatremia duration and total drug dose were found between the patients with severe hyponatremia and those with non-severe hyponatremia. Logistic regression analysis revealed that initial serum sodium concentration (odds ratio, 95% confidence interval: 18.475, 3.967-86.035; P = .000) was a risk factor for reduced serum concentration, and that albumin level (1.105, 1.012-1.207; P = .026), serum creatinine level (0.975, 0.952-0.997; P = .028) and hyponatremia duration (1.297, 1.064-1.583; P = .010) were risk factors of severe hyponatremia. WHAT IS NEW AND CONCLUSION: The incidence of severe hyponatremia among patients with cirrhosis who are treated with terlipressin is high. Moreover, higher initial serum sodium concentrations and increased duration of terlipressin administration are associated with a higher the incidence of severe hyponatremia. The initial albumin level is a risk factor for severe hyponatremia as is serum creatinine, although the latter is negatively correlated with the occurrence of the condition.

Outbreak minimization v.s. influence maximization: an optimization framework.

BACKGROUND: An effective approach to containing epidemic outbreaks (e.g., COVID-19) is targeted immunization, which involves identifying "super spreaders" who play a key role in spreading disease over human contact networks. The ultimate goal of targeted immunization and other disease control strategies is to minimize the impact of outbreaks. It shares similarity with the famous influence maximization problem studied in the field of social network analysis, whose objective is to identify a group of influential individuals to maximize the influence spread over social networks. This study aims to establish the equivalence of the two problems and develop an effective methodology for targeted immunization through the use of influence maximization. METHODS: We present a concise formulation of the targeted immunization problem and show its equivalence to the influence maximization problem under the framework of the Linear Threshold diffusion model. Thus the influence maximization problem, as well as the targeted immunization problem, can be solved by an optimization approach. A Benders' decomposition algorithm is developed to solve the optimization problem for effective solutions. RESULTS: A comprehensive computational study is conducted to evaluate the performance and scalability of the optimization approach on real-world large-scale networks. Computational results show that our proposed approaches achieve more effective solutions compared to existing methods. CONCLUSIONS: We show the equivalence of the outbreak minimization and influence maximization problems and present a concise formulation for the influence maximization problem under the Linear Threshold diffusion model. A tradeoff between computational effectiveness and computational efficiency is illustrated. Our results suggest that the capability of determining the optimal group of individuals for immunization is particularly crucial for the containment of infectious disease outbreaks within a small network. Finally, our proposed methodology not only determines the optimal solutions for target immunization, but can also aid policymakers in determining the right level of immunization coverage.

Tracking Nosocomial Diseases at Individual Level with a Real-Time Indoor Positioning System.

Our research is motivated by the rapidly-evolving outbreaks of rare and fatal infectious diseases, for example, the severe acute respiratory syndrome (SARS) and the Middle East respiratory syndrome. In many of these outbreaks, main transmission routes were healthcare facility-associated and through person-to-person contact. While a majority of existing work on modelling of the spread of infectious diseases focuses on transmission processes at a community level, we propose a new methodology to model the outbreaks of healthcare-associated infections (HAIs), which must be considered at an individual level. Our work also contributes to a novel aspect of integrating real-time positioning technologies into the tracking and modelling framework for effective HAI outbreak control and prompt responses. Our proposed solution methodology is developed based on three key components - time-varying contact network construction, individual-level transmission tracking and HAI parameter estimation - and aims to identify the hidden health state of each patient and worker within the healthcare facility. We conduct experiments with a four-month human tracking data set collected in a hospital, which bore a big nosocomial outbreak of the 2003 SARS in Hong Kong. The evaluation results demonstrate that our framework outperforms existing epidemic models for characterizing macro-level phenomena such as the number of infected people and epidemic threshold.

Potential interactions between triazole antifungal agents and lorlatinib based on ultra-performance liquid chromatography-tandem mass spectrometry in rat plasma.

AIM: Our study is to investigate the effects of triazole antifungal drugs on the pharmacokinetics of lorlatinib in rats. METHODS: The samples were precipitated with methanol. Chromatographic separation was performed on a ultra-performance liquid chromatography (UPLC) system using a BEH C18 column. The mobile phase consisted of 0.1% formic acid water and methanol. Lorlatinib and crizotinib (internal standard) were detected in multiple reaction monitoring mode. The fragment ions were 407.3-228.07 for lorlatinib and m/z 450.3-260.0 for crizotinib. Lorlatinib and different triazole antifungal drugs were given to Sprague Dawley rats by gavage, and blood was collected from the tail vein at a certain time point. The validated UPLC-MS/MS method was applied to a drug interaction study of ketoconazole, voriconazole, itraconazole, and posaconazole with lorlatinib in rats. RESULTS: Ketoconazole and voriconazole significantly inhibited lorlatinib metabolism. When administration with ketoconazole and voriconazole, the area under the curve from time zero to infinity of lorlatinib increased by 49.0% and 104.3%, respectively; the clearance decreased by 40.0% and 40.0%, respectively. While itraconazole and posaconazole did not affect lorlatinib pharmacokinetics. CONCLUSION: The UPLC-MS/MS-based assay is helpful to further understand the pharmacokinetics of lorlatinib in rats, and confirmed the findings that the combination of lorlatinib with CYP3A inhibitors should be avoided as predicted by our pre-clinical studies.

Proactivity of fish and leadership of self-propelled robotic fish during interaction.

Fish interacting with biomimetic robotic fish is beneficial for animal behavior research, particularly in the study of collective behavior. Compared with passive-dragging robotic fish, self-propelled robotic fish floats in water, and its movement matches the flow field formed by the caudal fin oscillation, leading to more realistic interaction with animals. In this paper, we propose a self-propelled koi-mimicking robotic fish entity, develop a system for robotic fish and koi fish interaction, and conduct extensive experiments on quantity variation and parameter variation. The results showed that fish exhibited significantly lower proactivity when alone, and the most proactive case is one robotic fish interacting with two real fish. The experiments on parameter variation indicated that fish may respond more proactivity to robotic fish that swim with high frequency and low amplitude, but may also move together with high-frequency and high-amplitude swimming robotic fish. These findings could provide insights into fish collective behavior, guide the design of further fish-robot interaction experiments, and suggest directions for future improvements in goal-oriented robotic fish platforms.

A Circular Formation Method for Biomimetic Robotic Fish Inspired by Fish Milling.

Circular motion phenomena, akin to fish milling, are prevalent within the animal kingdom. This paper delineates two fundamental mechanisms underlying such occurrences: forward following and circular topological communication. Leveraging these pivotal concepts, we present a multi-agent formation circular model based on a second-order integrator. This model engenders the attainment of homogeneous intelligence convergence along the circumferential trajectory. The convergence characteristics are intricately linked to the number of agents and the model parameters. Consequently, we propose positive and negative solutions for ascertaining the convergent circle property and model parameters. Furthermore, by integrating our proposed formation control methodology with a robotic fish dynamics model, we have successfully implemented simulations and experiments, demonstrating the circular formation of multiple biomimetic robotic fish. This study provides a mathematical explication for the circular motion observed in animal groups and introduces a novel approach to achieving circular formation in multiple robots inspired by biological phenomena.

Inhibitory effects of Stevioside on Streptococcus mutans and Candida albicans dual-species biofilm.

Introduction: Streptococcus mutans is the most prevalent biofilm-forming pathogen in dental caries, while Candida albicans is often detected in the presence of S. mutans. Methods: We aimed to evaluate the anti-caries effect of stevioside in medium trypticase soy broth (TSB) with or without sucrose supplementation compared with the same sweetness sucrose and xylitol in a dual-species model of S. mutans and C. albicans, based on planktonic growth, crystal violet assay, acid production, biofilm structural imaging, confocal laser scanning microscopy, and RNA sequencing. Results: Our results showed that compared with sucrose, stevioside significantly inhibited planktonic growth and acid production, changed the structure of the mixed biofilm, and reduced the viability of biofilm and the production of extracellular polysaccharides in dual-species biofilm. Through RNA-seq, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway impact analysis showed that stevioside decreased sucrose metabolism and increased galactose and intracellular polysaccharide metabolism in S. mutans, and decreased genes related to GPI-modified proteins and secreted aspartyl proteinase (SAP) family in C. albicans. In contrast to xylitol, stevioside also inhibited the transformation of fungal morphology of C. albicans, which did not form mycelia and thus had reduced pathogenicity. Stevioside revealed a superior suppression of dual-species biofilm formation compared to sucrose and a similar anti-caries effect with xylitol. However, sucrose supplementation diminished the suppression of stevioside on S. mutans and C. albicans. Conclusions: Our study is the first to confirm that stevioside has anticariogenic effects on S. mutans and C. albicans in a dual-species biofilm. As a substitute for sucrose, it may help reduce the risk of developing dental caries.

Development of UPLC-MS/MS method for the determination of colistin in plasma and kidney and its application in pharmacokinetics.

Recently, the frequent emergence of multidrug-resistant gram-negative bacterial infections has forced colistin to be used as one of the last-line options for the treatment of these infections. This study aimed to establish and validate a simple, rapid, and reliable method for the quantitative determination of colistin in plasma and kidney homogenates by ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The pharmacokinetic parameters of colistin sulfate in rats and the relationship between renal accumulation and time of administration in rats were estimated by measuring plasma and renal colistin concentrations. The colistin in the sample was precipitated by acetonitrile, followed by extraction with nitrogen blow-drying and reconstitution. The chromatographic separation of analytes was conducted on an C18 column using a mobile phase consisting of 0.1% aqueous formic acid and acetonitrile. Polymyxin B was used as an internal standard (IS). Colistin and IS were monitored in positive ion mode with the following mass transition pairs: m/z 585.6→m/z 101.4 for colistin A，m/z 578.6→m/z 101.4 for colistin B and m/z 595.6→m/z 227.2 for IS, respectively. The established method expressed good linearity in 50 - 20000 ng·mL-1 of colistin, with the lower limit of quantification (LLOQ) of 50 ng·mL-1. Methodology validations, including accuracy, precision, matrix effect, recovery, stability, and dilution integrity met the US Food and Drug Administration (FDA) acceptance criteria for bioanalytical method validation. Noncompartmental pharmacokinetic parameters were obtained by the statistical moment theory. The estimates for the terminal half-life (t1/2), the peak time (Tmax), the peak concentration (Cmax), the area under the plasma concentration-time curve (AUC0-t), the volume of distribution (V), the total body clearance (CL) and the mean residence time (MRT0-t) were calculated to be 2.53 ± 1.6 h, 2.17 ± 1.57 h, 2913.01 ± 644.89 ng·mL-1, 15153.46 ± 3599.81 h·ng·mL-1, 0.98 ± 0.56 L·kg-1, 0.28 ± 0.09 L·h-1·kg-1 and 4.07 ± 1.13 h, respectively. And the concentrations of colistin in rat kidney tissue after continuous administration for 1, 3, 5, 7 days were 1.49 ± 0.35 µg·g-1, 2.88 ± 0.74 µg·g-1, 3.40 ± 0.25 µg·g-1 and 4.33 ± 0.63 µg·g-1, respectively. The established method provided a convenient, rapid, stable, sensitive, accurate way for the determination of colistin concentration, which has been successfully used for the pharmacokinetic analysis of colistin sulfate in rat and to explore the relationship between the renal accumulation of colistin and the duration of dosing.

A Markov model-based cost-effectiveness analysis comparing zanubrutinib to ibrutinib for treating relapsed and refractory chronic lymphocytic leukemia.

OBJECTIVE: This article examined the cost-effectiveness of zanubrutinib and ibrutinib for managing relapsed and refractory chronic lymphocytic leukemia from the viewpoint of payers in China and the US. METHODS: Markov models were employed to conduct comparisons. Baseline characteristics and clinical data were extracted from the ALPINE study. The cost-effectiveness outcome indicators encompassed cost, quality-adjusted life years, and the incremental cost-effectiveness ratio. RESULTS: The Markov model analysis revealed that the zanubrutinib group incurred an incremental cost per patient of $-24,586.53 compared to the ibrutinib group. The zanubrutinib group exhibited an incremental utility per capita of 0.28 quality-adjusted life years, resulting in an incremental cost-effectiveness ratio of $-88,068.16 per quality-adjusted life year, which is lower than the payment threshold in China. The willingness-to-pay value in China for 2022 was three times the country's gross domestic product per capita. In the US, patients in the zanubrutinib group experienced per capita incremental costs of $-79,421.56, per capita incremental utility of 0.28 quality-adjusted life years, and an incremental cost-effectiveness ratio of $-284,485.45 per quality-adjusted life year. CONCLUSION: For Chinese payers, zanubrutinib exhibited superior cost-effectiveness compared to ibrutinib. Zanubrutinib proved to be a more affordable option for US payers when considering the payment threshold.

Modification of Vancomycin Dosing in Cardiac Surgery With Cardiopulmonary Bypass.

This study aims to assess the risk factors for insufficient vancomycin concentrations for its prophylactic use in adult patients undergoing cardiac surgery with cardiopulmonary bypass (CPB) and to modify the dosing regimen to achieve appropriate plasma concentrations. A total of 27 patients with vancomycin dosing of 1 to 1.5 g based on a weight cutoff of 67 kg were included, of which only 13 (48.15%) had vancomycin plasma concentration >15 mg/L at surgical closure. Risk factors of vancomycin concentration <15 mg/L at surgical-site closure were confirmed by multivariate logistic regression analysis, which showed that CPB duration was an independent predictor. Patients with CPB duration >4 hours had significantly lower vancomycin concentrations and lower proportion in achieving target vancomycin concentration at the end of CPB and surgical closure. For patients with CPB >4 hours, the modified dosing regimen that a second dose of 0.5 to 0.75 g added at 4 hours since the onset of CPB improved the target achievement of vancomycin concentration at surgical closure. Taken together, CPB duration >4 hours was the risk factor for insufficient vancomycin concentration at surgical closure, while our modified dosing could improve the vancomycin concentrations for its prophylactic use in patients undergoing cardiac surgery with CPB.

A fellow-following-principle based group model and its application to fish school analysis.

Group models based on simple rules are viewed as a bridge to clarifying animal group movements. The more similar a model to real-world observations, the closer it is to the essence of such movements. Inspired by the fish school, this study suggests a principle called fellow-following for group movements. More specifically, a simple-rules-based model was proposed and extended into a set of concrete rules, and two- and three-dimensional group models were established. The model results are intuitively similar to the fish school, and when the group size increases, the milling phase of both the model and fish school tends from unstable to stable. Further, we proposed a novel order parameter and a similarity measurement framework for group structures. The proposed model indicates the intuition similarity, consistency of dynamic characteristics, and static structure similarity with fish schools, which suggests that the principle of fellow-following may reveal the essence of fish school movements. Our work suggests a different approach for the self-organized formation of a swarm robotic system based on local information.

Anemoside B4 prevents chronic obstructive pulmonary disease through alleviating cigarette smoke-induced inflammatory response and airway epithelial hyperplasia.

BACKGROUND: Cigarette smoke (CS) is one of the major risk factors for chronic obstructive pulmonary disease (COPD) and increases the risk of lung cancer (LC). Anemoside B4 (B4) is the main bioactive ingredient in Pulsatilla chinensis (P. chinensis), a traditional medicinal herb for various diseases. It has a wide range of anti-inflammatory, anti-oxidation and anti-cancer activities. However, in recent years, there is no relevant literature report on the therapeutic effect of B4 on COPD, and the anti-inflammatory and inhibitory effects of anemoside B4 on basal cell hyperplasia in CS-induced COPD have not been clearly established. PURPOSE: In the present study, we investigated whether anemoside B4 could alleviate CS or cigarette smoke extract (CSE) induced inflammation of COPD and further prevent basal cell hyperplasia, hoping to find its possible mechanism. METHODS: In this study, a COPD mouse model was established in C57BL mice by CS exposure 3 months. Bronchial pathology and basal cell hyperplasia were observed by HE staining and immunostaining. The contents of glutathione peroxidase catalase (GSH-PX), malondialdehyde (MDA) and superoxide dismutase (MPO) were determined by GSH-PX, MDA and SOD assay kits, respectively. 16HBE cells were cultured with 5% CSE with or without treatment with B4 (1, 10, 100 µM) or DEX (20 µM) in vitro. Cell viability was assessed by a cell counting kit 8 (CCK-8). Reactive oxygen species (ROS) generation was tested by DCFH-DA. Moreover, anti-inflammatory mechanism of anemoside B4 was further determined by pro-inflammatory cytokines production using RT-PCR. Protein expression levels of MAPK/AP-1/TGF-ß signaling pathway were measured by western blot. RESULTS: Anemoside B4 improved the lung function of mice, relieved lung inflammation and reduced the MDA, MPO and GSH-Px in the plasma. At the same time, B4 repressed the oxidative stress response and played a role in balancing the levels of protease and anti-protease. During the process of bronchial basal cell hyperplasia, B4 alleviated the degree of cell hyperplasia, and prevented further deterioration of hyperplasia through increased P53 and inhibited FHIT protein. In addition, B4 reduced ROS levels in human bronchial epithelial cells stimulated by CSE in vitro study. Meanwhile, B4 treatment also significantly attenuated increased IL-1ß, TGF-ß, IL-8 and TNF-α from CSE treated human bronchial epithelial cells. The expression of p-P38, AP-1(c-fos, and c-Jun), TGF-ß proteins in MAPK/AP-1/TGF-ß signaling pathway were decreased and the signal cascade reaction was blocked. CONCLUSION: Anemoside B4 protects against CS-induced COPD. These findings indicated that B4 may have therapeutic potential for the prevention and treatment of COPD.