Objective To compare the reversal effects of short hairpin RNA (shRNA) interference and tetrandrine on multidrug resistance (MDR) of human colorectal cancer cell line LoVo/5-fluorouracil(5-FU ).Methods An eukaryotic expression plasmid of shRNA targeting MDR1 was constructed and transfected into human colorectal cancer cell line LoVo/5-FU (transfection group).LoVo/5-FU was also pretreated with tetrandrine (tetrandrine group).Drug sensitivity was detected by methyl thiazolyltetrazolium colorimetric method.Cell cycle,apoptosis of cells and positive expression rate of P-glycoprotein (P-gp) were determined by flow cytometry assay.The expressions of MDR1 mRNA and P-gp were detected by real-time polymerase chain reaction and Western blot,respectively.All data were analyzed by analysis of variance and SNK-q test.Results (1)Drug sensitivity:the 50％ concentration of inhibition(IC50)of the control group,tetrandrine group and transfection group were (7.3 ± 0.3),(4.4 ±0.7) and (2.4 ±0.4) mmol/L,respectively,a significant difference between the 3 groups was found(F =65.27,P ＜ 0.05 ).There was a significant difference in the IC50 between the tetrandrine group and the transfection group (q =6.67,P ＜ 0.05 ).(2) Changes of cell cycle:the proportion of cells in the G1 phase and S phase of the control group,tetrandrine group and transfection group were 38.13％ ± 3.75％,51.36％ ± 2.76％,59.24％±4.31％ and 20.46％±2.23％,14.32％± 1.91％,9.40％± 1.65％,respectively,a significant difference between the 3 groups was found(F =25.23,24.37,P ＜ 0.05 ).There were significant differences in the proportion of cells in the G1 phase and S phase between the tetrandrine group and the transfection group(q =3.67,4.35,P ＜ 0.05 ).(3) Cell apoptosis:the cell apoptotic rates of the control group,tetrandrine group and transfection group were 1.32％ ± 0.47％,3.24％ ± 0.26％,5.88％ ±- 0.44％,respectively,a significant difference between the 3 groups was found(F =99.26,P ＜ 0.05 ).There was a significant difference in the cell apoptotic rate between the tetrandrine group and transfection group(q =11.48,P ＜ 0.05 ).(4)The expression of P-gp:the positive expression rates of P-gp of the control group,tetrandrine group and transfection group were 96.9％ ± 2.3％,61.6％ ± 4.9％,76.6％ ± 3.6％,respectively,a significant difference between the 3 groups was found(F =67.83,P ＜ 0.05 ).There was a significant difference in the positive expression rate of P-gp between the tetrandrine group and transfection group (q =6.97,P ＜ 0.05 ).(5)The mRNA expression of MDR1:the mRNA expressions of MDR1 of the control group,tetrandrine group and transfection group were 1462 ±161,570 ±85,233 ± 81,respectively,a significant difference between the 3 groups was found(F =90.59,P ＜ 0.05 ).There was a significant difference in the mRNA expression of MDR1 between the tetrandrine group and transfection group (q =5.12,P ＜ 0.05 ).Conclusions MDR1 shRNA and tetrandrine could reverse M DR1 gene-mediated m.ultidrug resistance in human colon cancer cell line LoVo/5-FU,but the effect of MDR1 shRNA is better than that of tetrandrine.MDR1 shRNA and tetrandrine might take effect by inhibiting P-gp expression and down-regulating mRNA expression of MDR1.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective: Attention-deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental disorders in children and adolescents, often accompanied by motor function disorders. Sarcopenia not only has skeletal muscle dysfunction but also has neurocognitive dysfunction. At present, there is no research to explore the relationship between ADHD and skeletal muscle function. The purpose of this study is to explore whether there is a causal effect between ADHD and sarcopenia. Methods: In this study, genome-wide association study data of ADHD, appendicular lean mass (ALM), hand grip strength, and walking pace (WP) were extracted from public databases. The bidirectional two-sample Mendelian randomization (MR) method was employed to investigate the correlation between ADHD and sarcopenia-related indicators, and the inverse-variance weighted analysis as the primary analysis method. Results: Based on the forward MR analysis, a potential causal relationship exists between ADHD and ALM (odds ratio [OR]=1.020, 95% confidence interval [CI]: 1.012–1.029, p<0.001). The reverse MR analysis indicates a link between WP and the risk of ADHD (OR=2.712, 95% CI: 1.609–4.571, p<0.001), with an accelerated WP increasing the likelihood of ADHD. Nevertheless, other MR analysis results did not show significant differences. Conclusion The findings of this study indicate an intricate causal relationship between ADHD and sarcopenia, suggesting the absence of a clear link. WP may be used as one of the indicators to evaluate the risk of ADHD. At the same time, we should pay more attention to the ALM of ADHD patients.

Objective To develop a machine simultaneously integrating mechanized environmental cleaning and automatic mollusciciding and to evaluate its effectiveness of field application,so as to provide a novel Oncomelania hupensis snail control technique in the large?scale marshlands. Methods The machine simultaneously integrating mechanized environmental clean?ing and automatic mollusciciding,which was suitable for use in complex marshland areas,was developed according to the mech?anization and automation principles,and was used for O. hupensis snail control in the marshland. The effect of the machine on environmental cleaning and plough was evaluated,and the distribution of living snails was observed at various soil layers follow? ing plough. The snail control effects of plough alone and plough followed by mollusciciding were compared. Results The ma?chine could simultaneously complete the procedures of getting vegetation down and cut vegetation into pieces,plough and snail control by spraying niclosamide. After plough,the constituent ratios of living snails were 36.31% ,25.60% ,22.62% and 15.48% in the soil layers at depths of 0-5,6-10,11-15 cm and 16-20 cm respectively,and 61.91% living snails were found in the 0-10 cm soil layers. Seven and fifteen days after the experiment,the mortality rates of snails were 9.38% and 8.29% in the plough alone group,and 63.04% and 80.70% in the plough + mollusciciding group respectively(c27 d = 42.74,c215 d =155.56,both P values < 0.01). Thirty days after the experiment,the densities of snails were 3.02 snails/0.1 m2 and 0.53 snails/0.1 m2 in the soil surface of the plough alone group and the plough + mollusciciding group,which decreased by 64.92% and 93.60% ,respectively,and the decrease rate of snail density was approximately 30% higher in the plough + mollusciciding group than that in the plough alone group. Conclusions The machine simultaneously integrating mechanized environmental cleaning and automatic mollusciciding achieves the integration of mechanical environmental cleaning and automatic niclosamide spraying in the complex marshland areas,which provides a novel technique of field snail control in the large?scale setting in Chi?na.

Objective To evaluate the potential risk of schistosomiasis transmission in the area along the Yangtze River in Yangzhou City,so as to provide evidences for establishing a post?transmission surveillance system for schistosomiasis in marsh?land regions. Methods The water infectivity,floating boatmen and fishermen infection,reservoir host infection and wild feces contamination were investigated in five districts/counties along the Yangtze River in Yangzhou City,including Guangling,Hanji?ang,Jiangdu,Yizheng and Development Zone,and the transmission factors and risky characteristics were assessed after inter?ruption of schistosomiasis transmission in marshland regions. Results A total of 15 key water regions were identified in the area along the Yangtze River in Yangzhou City in 2015. A total of 1 500 sentinel mice were placed,after breeding,their overall sur?vival rate was 99.33%;1 490 were dissected,with no schistosome infection. Of the 5 576 floating boatmen and fishermen exam?ined,no schistosome infection was observed,and among the 3 566 domestic animals(including 171 cattle,1 895 sheep and 1 500 pigs),no infections were detected. During the period between January and March,2016,there were 3 200 mouse traps placed on 8 marshlands,and 62 wild mice were captured from 6 marshlands,with a capture rate of 1.94%,and no schistosome?infected wild mice were seen. In addition,there were 35 pieces of fresh wild feces captured from 7 marshlands,including 11 pieces of bovine feces(31.43%),17 pieces of sheep feces(48.57%),2 pieces of dog feces(5.71%)and 5 pieces of other feces (14.29%),and no infections were detected. Conclusions There is a low risk of schistosomiasis transmission in the area along the Yangtze River in Yangzhou City. However,the contamination of feces from bovine and sheep that are freely pastured on marshlands is a big threat to schistosomiasis control.

Objective:To construct an prediction model based on magnetic resonance imaging (MRI) machine learning algorithm and radiomics and investigate its application value in predicting lymphovascular invasion (LVI) status of rectal cancer without lymph node metastasis.Methods:The retrospective cohort study was conducted. The clinicopathological data of 204 rectal cancer patients without lymph node metastasis who were admitted to Gansu Provincial Hospital from February 2016 to January 2024 were collected. There were 123 males and 81 females, aged (61±7)years. All 204 patients were randomly divided into the training dataset of 163 cases and the testing dataset of 41 cases by a ratio of 8∶2 using the electronic computer randomization method. The training dataset was used to construct the prediction model, and the testing dataset was used to validate the prediction model. The clinical prediction model, radiomics model and joint prediction model were constructed based on the selected clinical and/or imaging features. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and the chi-square test or Fisher exact probability were used for comparison between the groups. Comparison of ordinal data was conducted using the nonparameter rank sum test. The inter-class correlation coefficient (ICC) was used to evaluate the consistency of the radiomics features of the two doctors, and ICC >0.80 was good consistency. Univariate analysis was conducted by corres-ponding statistic methods. Multivariate analysis was conducted by Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was drawn, and the area under the curve (AUC), Delong test, decision curve and clinical impact curve were used to evaluate the diagnostic efficiency and clinical utility of the model. Result:(1) Analysis of factors affecting LVI status of patients. Of the 204 rectal cancer patients without lymph node metastasis, there were 71 cases with positive of LVI and 133 cases with negative of LVI. Results of multivariate analysis showed that gender, platelet (PLT) count and carcinoembryonic antigen (CEA) were independent factors affecting LVI status of rectal cancer without lymph node metastasis in training dataset [ odds ratio=2.405, 25.062, 2.528, 95% confidence interval ( CI) as 1.093-5.291, 2.748-228.604, 1.181-5.410, P<0.05]. (2) Construction of clinical prediction model. The clinical prediction model was conducted based on the results of multivariate analysis including gender, PLT count and CEA. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of clinical prediction model were 0.721 (95% CI as 0.637-0.805), 0.675, 0.632 and 0.698 for the training dataset, and 0.795 (95% CI as 0.644-0.946), 0.805, 1.000 and 0.429 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of clinical prediction model between the training dataset and the testing dataset ( Z=-0.836, P>0.05). (3) Construction of radiomics model. A total of 851 radiomics features were extracted from 204 patients, and seven machine learning algorithms, including logistic regression, support vector machine, Gaussian process, logistic regression-lasso algorithm, linear discriminant analysis, naive Bayes and automatic encoder, were used to construct the prediction model. Eight radiomics features were finally selected from the optimal Gaussian process learning algorithm to construct a radiomics prediction model. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.857 (95% CI as 0.800-0.914), 0.748, 0.947 and 0.642 for the training dataset, and 0.725 (95% CI as 0.571-0.878), 0.634, 1.000 and 0.444 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of radiomics prediction model between the training dataset and the testing dataset ( Z=1.578, P>0.05). (4) Construction of joint prediction model. The joint prediction model was constructed based on the results of multivariate analysis and the radiomics features. Results of ROC curve showed that the AUC, accuracy, sensitivity and specificity of radiomics prediction model were 0.885 (95% CI as 0.832-0.938), 0.791, 0.912 and 0.726 for the training dataset, and 0.857 (95% CI as 0.731-0.984), 0.854, 0.714 and 0.926 for the testing dataset. Results of Delong test showed that there was no significant difference in the AUC of joint prediction model between the training dataset and the testing dataset ( Z=0.395, P>0.05). (5) Performance comparison of three prediction models. Results of the Hosmer-Lemeshow goodness-of-fit test showed that all of the clinical prediction model, radiomics prodiction model and joint prediction model having good fitting degree ( χ2=1.464, 12.763, 10.828, P>0.05). Results of Delong test showed that there was no signifi-cant difference in the AUC between the clinical prediction model and the joint prediction model or the radiomics model ( Z=1.146, 0.658, P>0.05), and there was a significant difference in the AUC between the joint prediction model and the radiomics model ( Z=2.001, P<0.05). Results of calibra-tion curve showed a good performance in the joint prediction model. Results of decision curve and clinical impact curve showed that the performance of joint prediction model in predicting LVI status of rectal cancer without lymph node metastasis was superior to the clinical prediction model and the radiomics model. Conclusions:The clinical prediction model is constructed based on gender, PLT count and CEA. The radiomics predictive model is constructed based on 8 selected radiomics features. The joint prediction model is constructed based on the clinical prediction model and the radiomics predictive model. All of the three models can predict the LVI status of rectal cancer with-out lymph node metastasis, and the joint prediction model has a superior predictive performance.

Objective:To evaluate the effect of imatinib on growth impairment in children with chronic myeloid leukemia (CML-CP) in the chronic phase.Methods:From July 2018 to July 2019, questionnaires were distributed to CML children aged <18 years at the time of diagnosis who were receiving imatinib for at least 3 months or to their parents in China. The height-for-age standard deviation score (HtSDS) and the difference of standard deviation integral (△HtSDS) were used to explore the change in height with imatinib therapy.Results:The data of 238 respondents were included; 138 (58.0% ) respondents were men. The median age at the first diagnosis of CML was 11.0 years (range, 1.4-17.9 years) , and 93 (39.0% ) respondents were at the prepuberty stage. At the time of completing the questionnaires, the median age was 15.0 years (range, 2.0-34.0 years) . The median duration of imatinib therapy was 28 months (range, 3-213 months) . Among all the respondents, the mean HtSDS when completing the questionnaires (-0.063±1.361) was significantly lower than that at the time of starting imatinib treatment (0.391±1.244) ( P<0.001) . Total 71.0% respondents showed growth impairment that was more common in those starting imatinib therapy at prepubertal age than in those starting at pubertal age. Multivariate analysis showed that younger at the start of imatinib therapy ( P<0.001) and longer duration of imatinib therapy ( P<0.001) were significantly associated with severe growth impairment on imatinib therapy. Conclusions:Imatinib induced growth impairment in children with CML-CP. Younger the age of initiation and longer the duration of imatinib therapy, more obvious the effect of imatinib on growth impairment.