Objective:To analyze the effects of different dose calculation grid size of Monaco system on the physical and biological dosimetry of target area and organ at risk (OAR) in T 4 nasopharyngeal carcinoma. Methods:A total of 18 patients with stage T 4 nasopharyngeal carcinoma who received radiotherapy in the Department of Radiotherapy of Yunnan Cancer Hospital from October 2020 to April 2022 were selected to complete the delineation of target areas and OAR in the Monaco 5.11.03 system, and the volumetric intensity modulated arc therapy (VMAT) plan was developed on the 3 mm grid with the optimization mode of target area priority. The 3 mm grid group plan was replicated without changing any other parameters, and the physical plan was re-established on the 1, 2, 4 and 5 mm grids, and then the five plans were normalized to the prescription dose to cover 95% of the target volume. The planning time, D 2%, D 50%, D 98%, conformity index (CI), homogeneity index (HI), gradient index (GI), tumor control probability (TCP), D 2% and D mean of important OAR around the target area were calculated and statistically analyzed. Results:Planning primary tumor gross target volume (PGTVp) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (76.94±0.66), (75.98±0.76), (75.56±0.67), (75.67±0.73) and (75.94±0.85) Gy, respectively, with a statistically significant difference ( F=9.86, P<0.001). The CI of 1, 2, 3, 4 and 5 mm groups were 0.75±0.05, 0.78±0.04, 0.78±0.05, 0.79±0.04 and 0.78±0.04, respectively, with a statistically significant difference ( F=2.61, P=0.041). There were statistically significant differences in D 50%, D 98%, HI, equivalent uniform dose (EUD) and tumor control probability (TCP) among the groups ( H=17.14, P=0.002; F=9.35, P<0.001; H=25.43, P<0.001; F=5.85, P<0.001; H=17.65, P=0.001). There was no statistically significant difference in GI among the groups ( P>0.05). Pairwise comparison showed that D 2% in 2, 3, 4, 5 mm groups compared with 1 mm group, D 50% in 5 mm group compared with 2, 3 mm groups, D 98% in 4 mm group compared with 1, 2 mm groups, D 98% in 5 mm group compared with 1, 2, 3 mm groups, CI in 5 mm group compared with 1 mm group, HI in 2, 3, 4, 5 mm groups compared with 1 mm group, EUD in 3 mm group was compared with 1 mm group, EUD in 5 mm group compared with 2, 3 mm groups, TCP in 3 mm group compared with 1 mm group, and TCP in 5 mm group compared with 3 mm group, there were statistically significant differences (all P<0.05). Planning nodal gross target volume (PGTVn) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (76.36±0.59), (75.36±0.62), (75.04±0.68), (75.25±0.72) and (75.39±0.77) Gy, respectively, with a statistically significant difference ( F=10.32, P<0.001). The HI of 1, 2, 3, 4 and 5 mm groups were 1.08 (1.08, 1.08), 1.07 (1.06, 1.07), 1.06 (1.06, 1.07), 1.06 (1.06, 1.07), 1.06 (1.06, 1.07), 1.06 (1.06, 1.08), respectively, with a statistically significant difference ( H=22.00, P<0.001) ; There were statistically significant differences in D 50%, D 98% and EUD among the groups ( H=11.79, P=0.019; H=20.49, P<0.001; F=12.14, P=0.016). Pairwise comparison showed that there were statistically significant differences in D 2% between 2, 3, 4, 5 mm groups and 1 mm group, D 98% between 4 mm group and 1 mm group, D 98% between 5 mm group and 1, 2 mm groups, HI between 2, 3, 4 mm groups and 1 mm group, and EUD between 3 mm group and 1 mm group (all P<0.05). Planning primary tumor clinical target volume 1 (PCTVp1) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (76.59±0.63), (75.64±0.65), (75.64±0.98), (75.41±0.70) and (75.71±0.84) Gy, respectively, with a statistically significant difference ( F=9.53, P<0.001). The D 50% of 1, 2, 3, 4, 5 mm groups were (72.09±0.34), (71.85±0.39), (71.82±0.45), (72.04±0.56), (72.43±0.66) Gy, respectively, with a statistically significant difference ( F=4.20, P=0.019). There was no statistically significant difference in the other indexes among the groups (all P>0.05). Pairwise comparison showed that there were statistically significant differences in D 2% between 2, 3, 4, 5 mm groups and 1 mm group, and in D 50% between 2, 3 mm groups and 1 mm group (all P<0.05). Planning nodal clinical target volume 1 (PCTVn1) : There were no statistically significant differences in all indexes among the groups (all P>0.05). Planning clinical target volume 2 (PCTV2) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (75.57±0.50), (74.87±0.67), (74.51±0.51), (74.61±0.63) and (75.00±0.74) Gy, respectively, with a statistically significant difference ( F=8.27, P<0.001). Pairwise comparison showed that the D 2% of the 2, 3, 4 mm groups were significantly different from that of the 1 mm group (all P<0.05). The calculation time of physical plan in 1, 2, 4 and 5 mm groups was 987.00 (848.00, 1 091.00), 120.50 (99.75, 134.00), 26.00 (24.00, 34.25) and 21.50 (18.75, 34.75) s, respectively, with a statistically significant difference ( H=61.62, P<0.001). Pairwise comparison showed that there were statistically significant differences in the calculation time between 4 mm group and 1, 2 mm groups, 5 mm group and 1, 2 mm groups (all P<0.05). There was no statistically significant difference in the dosimetric parameters of OAR around the target area among the groups (all P>0.05) . Conclusion:The physical dose and biological dose of the important OAR around the target area and the target area change with the change of dose calculation grid size when formulating the physical plan of radiotherapy for T 4 nasopharyngeal carcinoma. Considering the quality of the physical plan and the calculation time, when the Monaco system formulates the VMAT plan for T 4 nasopharyngeal carcinoma patients, the plan can be optimized on the 3 mm computing grid and copied to the 1 mm computing grid for recalculation.

Objective To analyze and identify the volatile constituents in different parts(flowers,stems and leaves)of Huai chrysanthemumin,and to lay a theoretical foundation for the comprehensive utilization for it.Methods The volatile oil in different parts of Huai chrysanthemumin were extracted by hydrodistillation,respectively.Their constituents were analyzed by gas chromatography-mass spectrometry(GC-MS).The compounds were identified by library search and literature screening.The relative percentage of each compound was obtained by the area normalization method.The differences in their chemical compositions were analyzed by Venn diagram,principal component analysis(PCA)and cluster heat map analysis.Results A total of 62 volatile chemical components were identified from different parts of Huai chrysanthemumin,including monoterpenes,sesquiterpenes,and their derivatives,as well as a small amount of aliphatic compounds.32,42 and 40 volatile components were detected from the flowers,stems and flowers,respectively.Furthermore 17 volatile components were shared by three parts,whereas 5,6 and 16 volatile components were unique to the flowers,stems and leaves,respectively.The results of stoichiometric analysis showed that both PCA and cluster heat map analysis could separate the flowers,stems and leaves,and their volatile components were different.Conclusion The types and contents of the volatile oil in the stems,leaves and flowers of Huai chrysanthemumin have certain variability,which provide a scientific basis for the further medicinal or industrial exploitation of different parts of Huai chrysanthemumin.

Arrhythmogenic cardiomyopathy (ACM), a fatal heart disease characterized by fibroadipocytic replacement of cardiac myocytes, accounts for 20% of sudden cardiac death and lacks effective treatment. It is often caused by mutations in desmosome proteins, with Desmoglein-2 (DSG2) mutations as a common etiology. However, the mechanism underlying the accumulation of fibrofatty in ACM remains unknown, which impedes the development of curative treatment. Here we investigated the fat accumulation and the underlying mechanism in a mouse model of ACM induced by cardiac-specific knockout of Dsg2 (CS-Dsg2 ^-/-). Heart failure and cardiac lipid accumulation were observed in CS-Dsg2 ^-/- mice. We demonstrated that these phenotypes were caused by decline of fatty acid (FA) β-oxidation resulted from impaired mammalian target of rapamycin (mTOR) signaling. Rapamycin worsened while overexpression of mTOR and 4EBP1 rescued the FA β-oxidation pathway in CS-Dsg2 ^-/- mice. Reactivation of PPARα by fenofibrate or AAV9-Pparα significantly alleviated the lipid accumulation and restored cardiac function. Our results suggest that impaired mTOR-4EBP1-PPARα-dependent FA β-oxidation contributes to myocardial lipid accumulation in ACM and PPARα may be a potential target for curative treatment of ACM.

Objective: To compare the predictive efficacy of the two thrombosis risk assessment scores (Padua and IMPEDE scores) in venous thromboembolism (VTE) within 6 months in patients with newly diagnosed multiple myeloma (NDMM) in China. Methods: This study reviewed the clinical data of 421 patients with NDMM hospitalized in Beijing Jishuitan Hospital from April 2014 to February 2022. The sensitivity, specificity, accuracy, and Youden index of the two scores were calculated to quantify the thrombus risk assessment of VTE by the Padua and IMPEDE scores. The receiver operating characteristics curves of the two evaluation scores were drawn. Results: The incidence of VTE was 14.73%. The sensitivity, specificity, accuracy, and Youden index of the Padua score were 100%, 0%, 14.7%, and 0% and that of the IMPEDE score was 79%, 44%, 49.2%, and 23%, respectively. The areas under the curve of Padua and IMPEDE risk assessment scores were 0.591 and 0.722, respectively. Conclusion: IMPEDE score is suitable for predicting VTE within 6 months in patients with NDMM.
Humans ; Venous Thromboembolism/etiology* ; Multiple Myeloma/diagnosis* ; Risk Assessment ; Risk Factors ; ROC Curve ; Retrospective Studies