Aim To explore the effects of sirolimus on the growth and development of motor,vascular,nerv-ous,and immune systems through zebrafish models.Methods After 3 hours of fertilization of zebrafish embryos,different concentrations of sirolimus were add-ed to the growth environment,and the growth and de-velopment of the embryos was recorded.Transgenic ze-brafish models labeled with blood vessels,nerves or im-mune cells were used to compare the drug effects on the growth and development of those systems.Results At the concentration of 0.5 μmol·L-1,the hatching rate and the body length(P＜0.01)were significantly smaller than those of the control group,and movement was also significantly slowed down.Meanwhile,the length of axons of the nervous system,the development of intersegmental vessels,and the growth of immune cells were significantly delayed by drug treatment.But when the concentration was below 0.1 μmol·L-1,there was no statistically difference between the control group and the sirolimus group.Conclusions When the concentration of sirolimus exceeds a certain level,it can significantly slow down the growth and development of movement,blood vessels,nervous system and im-mune system of zebrafish.Therefore,in clinical prac-tice,it is important to monitor the blood concentration of sirolimus in children on time.

Pharmacokinetics of traditional Chinese medicine(TCM)is a discipline that adopts pharmacokinetic research methods and techniques under the guidance of TCM theories to elucidate the dynamic changes in the absorption,distribution,metabolism and excretion of active ingredients,active sites,single-flavour Chinese medicinal and compounded formulas of TCM in vivo.However,the sources and components of TCM are complex,and the pharmacodynamic substances and mechanisms of action of the majority of TCM are not yet clear,so the pharmacokinetic study of TCM is later than that of chemical medicines,and is far more complex than that of chemical medicines,and its development also confronts with challenges.The pharmacokinetic study of TCM originated in the 1950s and has experienced more than 70 years of development from the initial in vivo study of a single active ingredient,to the pharmacokinetic and pharmacodynamic study of active ingredients,to the pharmacokinetic study of compound and multi-component of Chinese medicine.In recent years,with the help of advanced extraction,separation and analysis technologies,gene-editing animals and cell models,multi-omics technologies,protein purification and structure analysis technologies,and artificial intelligence,etc.,the pharmacokinetics of TCM has been substantially applied in revealing and elucidating the pharmacodynamic substances and mechanisms of action of Chinese medicines,research and development of new drugs of TCM,scientific and technological upgrading of large varieties of Chinese patent medicines,as well as guiding the rational use of medicines in clinics.Pharmacokinetic studies of TCM have made remarkable breakthroughs and significant development in theory,methodology,technology and application.In this paper,the history of the development of pharmacokinetics of TCM and the progress of cutting-edge research was reviewed,with the aim of providing ideas and references for the pharmacokinetics of TCM and related research.

Objective In order to shorten the transparency time of clear,unobstructed brain imaging cocktails and computational analysis(CUBIC),improve the transparency efficiency,and explore the possibility of applying hydrophilic tissue transparency technique,this study was conducted to optimize the perfusion of CUBIC technique and compare it with four hydrophilic tissue clearing method in terms of tissue transparency effect,transparency time,area change,volume change and adeno-associated virus(AAV)fluorescence retention.Methods Brain,liver,spleen and kidney of 6 adult Institute of Cancer Research(ICR)mice were subjected to clearing treatment by SeeDB,FRUIT,ScaleS and CUBIC method,respectively.The area and gray value of the samples were measured by Image J 1.8.0,and the volume before and after transparency was measured by drainage method to compare the transparency effect,time and size deformation of each group.Perfusion optimization of the CUBIC was performed by improving the perfusion rate with the optimal perfusion dose,each group of the experimental sample size was 6.Fluorescence preservation by different techniques was evaluated by injecting AAV in the motor cortex of 16 adult mice and taking the cervical spinal segments for transparency treatment after four weeks,and the fluorescence photographs were measured by Image J 1.8.0 to measure the mean fluorescent intensity.Results The optimal perfusion rate and dose of CUBIC was 15 ml/min and 200 ml respectively.For transparency ability and speed,the perfusion CUBIC had the lowest mean gray value and took the shortest time,while CUBIC consumed the longest time,and SeeDB,FRUIT,and ScaleS did not show good transparency ability.In terms of area and volume changes,several techniques showed different degrees of expansion after transparency of tissues or organs.In terms of fluorescence retention,perfusion CUBIC showed the best retention of green fluorescent protein(GFP)fluorescence signal,followed by CUBIC,ScaleS,FRUIT,and SeeDB.Conclusion Perfusion CUBIC technique shows the best tissue transparency,the shortest transparency time,and the most AAV fluorescence retention compared with other techniques.

Human brain banks use a standardized protocol to collect,process and store post-mortem human brains and related tissues,along with relevant clinical information,and to provide the tissue samples and data as a resource to foster neuroscience research according to a standardized operating protocols(SOP).Human brain bank serves as the foundation for neuroscience research and the diagnosis of neurological disorders,highlighting the crucial rule of ensuring the consistency of standardized quality for brain tissue samples.The first version of SOP in 2017 was published by the China Human Brain Bank Consortium.As members increases from different regions in China,a revised SOP was drafted by experts from the China Human Brain Bank Consortium to meet the growing demands for neuroscience research.The revised SOP places a strong emphasis on ethical standards,incorporates neuropathological evaluation of brain regions,and provides clarity on spinal cord sampling and pathological assessment.Notable enhancements in this updated version of the SOP include reinforced ethical guidelines,inclusion of matching controls in recruitment,and expansion of brain regions to be sampled for neuropathological evaluation.

In the past decades,a dramatic development of navigation technology in orthopaedic surgery has been witnessed. By assisting the localization of surgical region,verification of target bony structure,preoperative planning of fixation,intraoperative identification of planned entry point and direction of instruments or even automated insertion of implants,its ability and potential to reduce operation time,intraoperative radiation,surgical trauma,and improve accuracy has been proved. However,in contrast to the widespread use of navigation technology in arthroplasty,orthopaedic tumor,and spine surgery,its application in orthopaedic trauma is relatively less. In this manuscript,the main purpose is to introduce the technical principles of navigation devices,outline the current clinical application of navigation systems in orthopaedic trauma,analyze the current challenges confronting its further application in clinical practice and its prospect in the future.
Humans ; Orthopedics ; Surgery, Computer-Assisted/methods* ; Orthopedic Procedures/methods* ; Operative Time

Aim To investigate the effect of m6A demethylase FTO inhibitor(FB23-2)on human glioblastoma stem cell activity. Methods The effects of FB23-2 and Temozolomide on GSC were detected by CCK-8 assay and neurosphere formation assay. The effect of FB23-2 on self-renewal of GSC was detected by limited dilution assay in vitro. The effect of FB23-2 on the proliferation of GSC was detected by EdU method. The effect of FB23-2 on apoptosis of glioblastoma stem cells was detected by flow cytometry. Results CCK-8 assay showed that FB23-2 could effectively inhibit the cell viability of GSC with IC50 values of 7.11 μmol·L-1 and 4.63 μmol·L-1,respectively. The size and number of GSC neural sphere in FB23-2 treatment group were significantly reduced compared with control group. In vitro limited dilution experiment showed that FB23-2 effectively inhibited the self-renewal ability of GSC. EdU incorporation experiment showed that compared with the control group,the treatment group decreased to(70.59±13.74)% and(50.33±4.53)%,respectively. The apoptotic rates of the treated group were(12.16±1.90)% and(16.77±1.17)% by flow cytometry. Conclusions FTO inhibitor FB23-2 can effectively inhibit GSC growth,self-renewal and the formation of neural sphere. In addition,FB23-2 can inhibit the proliferation of GSC and induce its apoptosis.

With the development of precision medicine for lung cancer, targeted therapy has greatly improved the survival and prognosis of patients with advanced non-small cell lung cancer (NSCLC), but the occurrence of acquired drug resistance ultimately leads to patients with no targeted drugs available and no standard treatment options for this group of patients afterwards. The emergence of immune checkpoint inhibitors (ICIs) has revolutionized the treatment of advanced NSCLC. However, due to the unique features of NSCLC with epidermal growth factor receptor (EGFR) mutation, such as immunosuppressive tumor microenvironment (TME), single ICIs treatment has limited clinical benefits in NSCLC patients with EGFR mutation, and the combination of ICIs with chemotherapy and/or targeted therapies is the trend. This review further discusses potential subpopulations with EGFR mutations that may benefit from ICIs treatment, and analyzes how decisions can be made in the era of combined immunotherapy to maximize the efficacy of ICIs treatment in EGFR mutation targeted therapy for NSCLC patients with drug resistance, with the aim of achieving individualized treatment.
Humans ; Carcinoma, Non-Small-Cell Lung/genetics* ; Immune Checkpoint Inhibitors ; Lung Neoplasms/genetics* ; Mutation ; ErbB Receptors/genetics* ; Tumor Microenvironment

Objective: To analyze the survival and influencing factors of chimeric antigen receptor (CAR) T-cell therapy in relapsed/refractory acute B-cell lymphoblastic leukemia (R/R B-ALL) . Methods: Clinical information of patients who received CAR-T-cell therapy and achieved complete remission of R/R B-ALL between May 2015 and June 2018 at the Shaanxi Provincial People's Hospital was obtained. Kaplan-Meier analysis was used to evaluate the overall survival (OS) and leukemia-free survival (LFS) times of patients, and Cox regression analysis was performed to analyze the prognostic factors that affect patient survival after CAR-T therapy. Results: Among the 38 patients with R/R B-ALL, 21 were men, with a median age of 25 (6-59) years and a median OS time of 18 (95% CI 3-33) months. Multivariate Cox regression analysis showed that positive MLL-AF4 fusion gene expression was an independent risk factor for OS and LFS (OS: HR=4.888, 95% CI 1.375-17.374, P=0.014; LFS: HR=6.683, 95% CI 1.815-24.608, P=0.004). Maintenance therapy was a protective factor for OS and LFS (OS: HR=0.153, 95% CI 0.054-0.432, P<0.001; LFS: HR=0.138, 95% CI 0.050-0.382, P<0.001). In patients with MRD negative conversion, LFS benefit (HR=0.209, 95% CI 0.055-0.797, P=0.022) and OS difference was statistically insignificant (P=0.111). Moreover, patients with high tumor burden were risk factors for OS and LFS at the level of 0.1 (OS: HR=2.662, 95% CI 0.987-7.184, P=0.053; LFS: HR=2.452, 95% CI 0.949-6.339, P=0.064) . Conclusion: High tumor burden and high-risk genetics may affect the long-term survival rate of patients with R/R B-ALL receiving CAR-T, and lenalidomide-based maintenance therapy may improve their prognosis.
Male ; Humans ; Adult ; Middle Aged ; Female ; Receptors, Chimeric Antigen/genetics* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Immunotherapy, Adoptive ; Precursor B-Cell Lymphoblastic Leukemia-Lymphoma ; Cell- and Tissue-Based Therapy

Objective To evaluate the predictive value of a combined model based on clinical and radiomics features for the invasiveness of lung adenocarcinoma manifesting as ground glass nodule(GGN).Methods Clinical data of patients with GGN-type lung adenocarcinoma who underwent chest CT and were confirmed by surgical pathology at some hospital from January to December 2019 were analyzed retrospectively,and the extraction of imaging histological features was performed using Python-based open resource Pyradiomics.A clinical model was constructed based on independent risk factors obtained from univariate and multivariate analyses,a radiomics model was built using the screened radiomics features,and a combined model was established with the predictive values of the clinical models and radiomics scores(Radscore).The predictive performance of the three models in the training and test sets was assessed using ROC curves,the statistical significance of the differences in the ROC curves of the three models for predicting GGN-type lung adenocarcinoma was assessed using the Delong test,and the net benefits of the models were analyzed using clinical decision curves.Results Logistic multifactor analysis showed that age(P=0.020 2)and vascular characteristics(P=0.002 2)were the independent predictors of the degree of the invasiveness of lung adenocarcinoma.The AUCs of the radiomics model,clinical model and combined model were 0.876,0.867 and 0.904 on the training set,and 0.828,0.828 and 0.864 on the test set,respectively.The difference between the ROC curves of the combined model and the clinical and radiomics models was not statistically significant(P>0.05)on the test set.Clinical decision curves showed a higher clinical benefit when using the combined model to predict the invasiveness under most conditions of threshold probability.Conclusion The combined model based on clinical and radiomics features enhances the predictive performance for the invasiveness of GGN-type lung adenocarcinoma.

OBJECTIVES: To estimate postmortem interval (PMI) by analyzing the protein changes in skeletal muscle tissues with the protein chip technology combined with multivariate analysis methods. METHODS: Rats were sacrificed for cervical dislocation and placed at 16 ℃. Water-soluble proteins in skeletal muscles were extracted at 10 time points (0 d, 1 d, 2 d, 3 d, 4 d, 5 d, 6 d, 7 d, 8 d and 9 d) after death. Protein expression profile data with relative molecular mass of 14 000-230 000 were obtained. Principal component analysis (PCA) and orthogonal partial least squares (OPLS) were used for data analysis. Fisher discriminant model and back propagation (BP) neural network model were constructed to classify and preliminarily estimate the PMI. In addition, the protein expression profiles data of human skeletal muscles at different time points after death were collected, and the relationship between them and PMI was analyzed by heat map and cluster analysis. RESULTS: The protein peak of rat skeletal muscle changed with PMI. The result of PCA combined with OPLS discriminant analysis showed statistical significance in groups with different time points (P<0.05) except 6 d, 7 d and 8 d after death. By Fisher discriminant analysis, the accuracy of internal cross-validation was 71.4% and the accuracy of external validation was 66.7%. The BP neural network model classification and preliminary estimation results showed the accuracy of internal cross-validation was 98.2%, and the accuracy of external validation was 95.8%. There was a significant difference in protein expression between 4 d and 25 h after death by the cluster analysis of the human skeletal muscle samples. CONCLUSIONS The protein chip technology can quickly, accurately and repeatedly obtain water-soluble protein expression profiles in rats' and human skeletal muscles with the relative molecular mass of 14 000-230 000 at different time points postmortem. The establishment of multiple PMI estimation models based on multivariate analysis can provide a new idea and method for PMI estimation.
Animals ; Humans ; Rats ; Multivariate Analysis ; Postmortem Changes ; Protein Array Analysis ; Technology