AIM: To investigate the preparation and parameter of pellets of traditional Chinese medicine in order to solve the problem of preparation of pellets of traditional Chinese medicine. METHODS: We took centrifugal spray method to prepare the pellets, and compared effect of spray coating and fluidzed bed coating on the quality of pellets. RESULTS: The best preparation of pellets was determined as followed. The frequency of turntable was 45 HZ, the flow rate of liquid was 1.2 g/min. the relative density of liquid was 1.20 g/cm 3; when coating weigh reached 14%, the better pellets could be obtained. CONCLUSION: The need of the assistant matter of taking spray pellets and film coating was less and roboticized. It accorded with the answer of GMP and the regular production of the preparation of pellets of traditional Chinese medicine.

Objective To build a Monte Carlo dose verification tool for IMRT Plan by implanting an irradiation source model into DPM code and to extend the ability of DPM to calculate any incident angles and irregular-inhomogeneous fields.Methods The virtual source and the energy spectrum unfolded from the accelerator measurement data were used,in combination with optimized intensity maps,to calculate the dose distribution of the irradiation irregular-inhomogeneous field.The irradiation source model of accelerator was substituted by a grid-based surface source.The contour and the intensity distribution of the surface source were optimized by IMRT.The dose calculation was realized by combining the position of the emitter with the fluence map from the IMRT plan.The weight of the emitter was decided by the grid intensity.The direction of the emitter was decided by the combination of the virtual source and the emitting position.The weighted fraction of the emitter was also combined with the flux grid intensity based on the particle transport model of DPM code.Results The accuracy of calculation was verified by comparing with the measured data.It was illustrated that the differences were acceptable (＜ 2％ inside the field,2-3 mm in the penumbra).The dose calculation of irregular field by DPM simulation was also compared with that of FSPB (Finite Size Pencil Beam).The passing rate of gamma analysis was 95.1％ for peripheral lung cancer.The regular field and the irregular rotational field were all within permissible range of error.The calculation time of regular fields were less than 2 h,and that of the test of peripheral lung cancer was 160 min.Conclusions The adapted DPM code with its simple irradiation source model is faster than that with classical Monte Carlo procedure.Its computational accuracy and speed satisfy the clinical requiremcnt,and it can be useful as a Monte Carlo dose verification tool for IMRT Plan.

Objective To study the role of natural antiox-LDL subclass IgM antibodies in formation of atherclerosis.Methods The macrophages from mice were divded into LDL group,Cuox-LDL group and control group.The macrophages in LDL group and Cuox-LDL group were precultured with LDL and Cuox-LDL.Adhesion experiment was performed in control group.3A6,5G8 and 2H7 were incubated.The macrophages were divided into 3A6 group,5G8 group and 2H7 group.Adhesion experiment was performed by adding the pretreated 125I Cuox-LDL.The binding parameters of macrophages and 125I Cuox-LDL in different groups were recorded.Foam cells were analyzed by cell lipid analysis with oil red O staining.Results The bound 125I Cuox-LDL level was significantly lower in Cuox-LDL group than in control group and LDL group (P＜0.01).No significant difference was found in bound 125I Cuox-LDL level between 5G3 group and 2H7 group (P＞0.05).The bound 125I Cuox-LDL level was significantly lower in 3A6 group than in control group,5G8 group and 2H7 group (P＜0.01).Oil red O staining showed no oil drop in macrophages,but a small number of oil drops in 3A6 group and a large number of oil drops in control group.The cholesterol and TG in macrophages reduced 45％ and the TG reduced 170％ in 3A6 group,which were significantly lower than those in control group (P＜0.01).Conclusion Antiox-LDL IgM subclass antibody 3A6 can effectively prevent the binding of unactivated macrophages to ox-LDL,reduce the occurrence and progression of atherosclerosis.

Objective: To investigate the association of the risk of overweight/obesity in children and adolescents with their early life factors and parental weight. Methods: From June 1 to June 30 of 2022, the stratified randomized cluster sampling method was used to collect information using questionnaires from 5 370 primary and secondary school students in Hohhot City, Inner Mongolia Autonomous Region, and multivariate analysis were performed using multiple Logistic regression model estimation in a generalized linear model for parental BMI and early life factors in children and adolescents. Results: The prevalence of overweight/obesity was 32.2% , and the prevalence of overweight/obesity among male students was 37.8%, which was higher than that of female students 26.1% χ 2= 84.59 , P <0.01). The results of the multirariate Logistic regression anaysis showed that the prevalence of overweight/obesity was higher in only paternal overweight ( OR=1.52, 95%CI =1.30-1.77), only maternal overweight ( OR=1.61, 95%CI = 1.31 -1.97), and parentl overweight ( OR=2.42, 95%CI =2.03-2.87)( P <0.05). The risk of overweight/obesity was higher in children with high birth weight ( OR=1.29, 95%CI =1.08- 1.55 ), children born by caesarean section ( OR=1.32, 95%CI =1.17- 1.48 ), and children whose mothers gained excessive weight during pregnancy ( OR=1.24, 95%CI =1.06-1.46), and the results were statistically significant ( P <0.05). Conclusions Overweight parents, excessive maternal weight gain during pregnancy, cesarean delivery, and high birth weight are associated with increased risk of overweight/obesity in children and adolescents. Attention should be paid to these aspects in obesity prevention and control.

Objective To explore the effect of neutrophil to lymphocyte ratio(NLR)and other related in-dicators on the prognosis of advanced non-small cell lung cancer patients treated with programmed death 1(PD-1)inhibitor and construct a nomogram prediction model.Methods A total of 198 patients with advanced non-small cell lung cancer who received PD-1 inhibitor treatment in the hospital from February 2020 to April 2022 were selected and followed up to August 2022.According to the clinical outcome,they were divided into the death group(46 cases)and the survival group(152 cases).The clinical data of the death group and the survival group were recorded,and the prognostic factors of advanced non-small cell lung cancer patients trea-ted with PD-1 inhibitor were analyzed.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of NLR,platelet to lymphocyte ratio(PLR)and lymphocyte to monocyte ratio(LMR)for the prognosis of patients.Multivariate Logistic regression model was used to analyze the independent risk factors affecting the prognosis of patients.A prediction nomogram model for the prognosis of patients was construc-ted using R software 4.0"rms"package,and the calibration curve was used to internally validate the nomo-gram prediction model.Results Compared with the survival group,the proportion of smoking,TNM stageⅣ,ECOG score 2,and NLR,PLR,LMR were higher(P<0.05).The area under the curve of NLR,PLR and LMR were 0.707,0.793 and 0.819,respectively,and the optimal cut-off value were 4.72%,179.21%and 3.44%,respectively.Smoking,TNM stage,ECOG score,NLR,PLR,and LMR were independent risk factors for the prognosis of advanced non-small cell lung cancer patients treated with PD-1 inhibitor(P<0.05).The internal validation results show that the nomogram inhibitor treatment of PD-1 model prediction the prognosis of patients with advanced non-small cell lung cancer C-index was 0.847(95%CI 0.769-0.902),the calibra-tion curve tends to be the ideal curve.The threshold value of the nomogram model for predicting the prognosis of patients with advanced non-small cell lung cancer treated with PD-1 inhibitor was>0.22.The nomogram prediction model provided a net clinical benefit,and the net clinical benefit was higher than that of smoking,TNM stage,ECOG score,NLR,PLR and LMR.Conclusion Based on smoking,TNM stage,ECOG score,NLR,PLR,and LMR,a nomogram prediction model for the prognosis of advanced non-small cell lung cancer patients treated with PD-1 inhibitor is constructed,which has important clinical application value.

[摘 要] 目的：探讨程序性死亡受体-1（PD-1）单抗联合顺铂或吉西他滨在KRAS基因突变非小细胞肺癌（NSCLC）A549细胞移植瘤小鼠模型治疗中的作用。方法：构建免疫系统-肿瘤双人源化A549细胞小鼠移植瘤模型，将60只小鼠按随机数字表法分成6组（10只/组），分别为对照组（200 μL/kg PBS）、PD-1单抗组（20 mg/kg PD-1单抗）、顺铂组（3 mg/kg顺铂）、PD-1单抗+顺铂组（20 mg/kg PD-1单抗+3 mg/kg顺铂）、吉西他滨组（30 mg/kg吉西他滨）和PD-1单抗+吉西他滨组（20 mg/kg PD-1单抗+30 mg/kg吉西他滨）。TUNEL和DAPI双染色法检测移植瘤组织中细胞凋亡水平，测量移植瘤体积和质量并计算肿瘤生长抑制率，免疫组化法检测移植瘤微血管密度（MVD）。结果：成功构建免疫系统-肿瘤双人源化NSCLC A549细胞小鼠移植瘤模型，PD-1单抗+顺铂组移植瘤的细胞凋亡率、肿瘤生长抑制率均最高，移植瘤体积、质量和MVD均最小，与其他5组小鼠比较差异均有统计学意义（均P<0.05）。结论：顺铂与PD-1单抗具有协同活性，而吉西他滨拮抗PD-1单抗的治疗作用。提示PD-1单抗联合顺铂对KRAS突变NSCLC A549细胞移植瘤小鼠的疗效更好。

Algorithms ; Humans ; Radiotherapy, Intensity-Modulated ; methods

KylinRay-IMRT is the advanced radiotherapy treatment planning module of accurate radiotherapy system (KylinRay) aiming to provide accurate and efficient plan design platform. In this paper the system design, main functions and key technologies of KylinRay-IMRT were introduced. KylinRay-IMRT supports three dimensional conformal radiotherapy (3D-CRT), intensity modulated radiotherapy (IMRT) and many other types of treatment plan design with function modules including patient data management, image registration and fusion, image contouring, image three dimensional reconstruction and visualization, three dimensional conformal radiotherapy planning, intensity modulated radiotherapy planning, plan evaluation and comparison, and report print. KylinRay-IMRT has been tested by the national standard YY/T 0889-2013, the results showed that the performance of KylinRay-IMRT can fully meet the standard requirements.
Humans ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Conformal ; Radiotherapy, Intensity-Modulated ; Tomography, X-Ray Computed