1.Surveillance of Oncomelania hupensis snails following interruption of schistosomiasis transmission in Yunnan Province
Siqi NING ; Yi DONG ; Chunhong DU ; Lifang WANG ; Yun ZHANG ; Yuhe HE ; Hua JIANG ; Jiayu SUN ; Chunqiong CHEN ; Jiaqi YAN ; Jihua ZHOU ; Zongya ZHANG ; Hongqiong WANG ; Meifen SHEN ; Jing SONG
Chinese Journal of Schistosomiasis Control 2026;38(2):200-206
Objective To investigate the distribution characteristics of Oncomelania hupensis snails in Yunnan Province fol-lowing interruption of schistosomiasis transmission, so as to provide the evidence for assessing the risk of schistosomiasis transmission and scientifically formulating the schistosomiasis surveillance program. Methods According to the requirements of the National Schistosomiasis Surveillance Scheme (2020 Edition), O. hupensis snail surveillance data were collected from 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province from 2020 to 2024, including area of snail survey, area of snail habitats, area of re-emerging snail habitats, number of frames surveyed, number of frames with O. hupensis snails, number of O. hupensis snails captured, and number of living snails, and the occurrence of frames with snails and mean density of living snails were calculated. Changes in snail status over the 5-year period from 2020 to 2024 and the differences in snail distributions specified by epidemic intensity, environmental type, and vegetation type were analyzed. Results The areas of snail survey increased from 1 727.96 hm2 in 2020 to 3 894.45 hm2 in 2024 (peak) across 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province during the period from 2020 through 2024. The areas of snail habitats increased from 70.36 hm2 in 2020 to a peak in 2023 (172.04 hm2), followed by a reduction to 132.36 hm2 in 2024, and the areas of re-emerging snail habitats increased from 42.71 hm2 in 2020 to a peak in 2022 (78.43 hm2), followed by a reduction to 40.21 hm2 in 2024. The occurrence of frames with snails and mean density of living snails increased from 1.24% (3 025/244 404) and (0.033 2 ± 0.038 7) snails/0.1 m2 in 2020 to peaks at 2.03% (6 231/307 563) and (0.066 9 ± 0.068 4) snails/0.1 m2 in 2023, followed by reductions to 1.04% (5 829/559 941) and (0.032 6 ± 0.057 7) snails/0.1 m2 in 2024, respectively. There was a significant difference in the occurrence of frames with snails over the 5-year study period (χ2 = 1 962.95, P < 0.05), and the occurrence of frames with snails reduced by 48.71% in 2024 relative to in 2023 (χ2 = 1 411.05, P < 0.005); however, there was no significant difference in the mean density of living snails over the 5 years (H = 5.310, P > 0.05). There were significant differences in the occurrence of frames with snails (χ2 = 481.27, P < 0.05) and mean density of living snails (H = 6.872, P < 0.05) in schistosomiasis-endemic areas with different epidemic intensities. The occurrence of frames with snails (χ2 = 25.32 and 38.70, both P values < 0.017) and mean density of living snails (Z = 28.55 and 49.96, both P values < 0.017) were higher in schistosomiasis transmission-interrupted and eliminated areas with snails than in schistosomiasis-eliminated areas without snails, and the occurrence of frames with snails (χ2 = 453.54, P < 0.017) and mean density of living snails (Z = −56.97, P < 0.017) were higher in schistosomiasis-eliminated areas with snails than in schistosomiasis transmission-interrupted areas with snails. O. hupensis snails were mainly distributed in paddy fields, dry farmlands and ditches; however, the occurrence of frames with snails (13.40%, 424/3 164) and mean density of living snails [(0.252 8 ± 0.158 7) snails/0.1 m2] were higher in ponds/weirs than in other types of environments (both P values < 0.05). Rice, dry farmland crops and weeds were main vegetations in which O. hupensis snails were distributed, and the occurrence of frames with snails (2.29%, 7 111/310 140) and mean density of living snails [(0.072 3 ± 0.018 9) snails/0.1 m2] were higher in weeds than in other types of environments (both P values < 0.05). Conclusions O. hupensis snails have been effectively controlled in Yunnan Province following implementation of integrated schistosomiasis control measures; however, there are still risk factors for schistosomiasis transmission, including reduced attention to schistosomiasis control and snail re-emergence. Improved control efforts and surveillance system construction and timely identification of risk factors of snail status and timely management are recommended to ensure the achievement of the target of schistosomiasis elimination as scheduled.
2.Development and evaluation of the Children's Screen Interaction Quality Questionnaire for Children aged 0-4
Lifang JIN ; Yan LUO ; Chengwei SHEN ; Huiling QIN ; Kexin TU ; Lanyin JIAN ; Fan ZHANG ; Jiacai ZHANG ; Xin ZHOU ; Xiuli CHEN
Chongqing Medicine 2025;54(5):1118-1122,1127
Objective To develop the Children's Screen Interaction Quality Questionnaire(CSIQ)suit-able for measuring Chinese children aged 0 to 4 years,and to test its reliability and validity.Methods The purposive sampling method was used,and the guardians of 30 normal children aged 0 to 4 years undergoing physical examinations in the Department of Child Health Care of Guiyang Maternal and Child Health Care Hospital from February to April 2023 were selected as the interview objects.25 initial items were constructed through literature review,semi-structured interviews,and the Delphi expert consultation method.With the convenience sampling method,2 242 guardians of children aged 0 to 4 years old in the small and middle classes of 9 kindergartens in Guiyang City,Zunyi City,and Renhuai City were surveyed for item analysis,exploratory factor analysis,confirmatory factor analysis,and reliability and validity analysis.Results Exploratory factor a-nalysis extracted three factors,namely screen content interaction,reality interaction,and media interaction,with a total of 12 items.The cumulative variance explained rate of the 3-factor model was 69.829%.Confirma-tory factor analysis supported the three-factor model of CSIQ:x2/df=4.424,root mean square error of ap-proximation(RMSEA)=0.066,normed fit index(NFI)=0.955,comparative fit index(CFI)=0.965,incre-mental fit index(IFI)=0.965,Tucker-Lewis index(TLI)=0.955,goodness-of-fit index(GFI)=0.955,and the CSIQ had good convergent validity and discriminant validity.Conclusion The CSIQ has good reliability and validity.
3.Integrating explainable deep learning with multi-omics for screening progressive diagnostic biomarkers of hepatocellular carcinoma covering the "inflammation-cancer" transformation.
Saiyu LI ; Yiwen ZHANG ; Lifang GUAN ; Yijing DONG ; Mingzhe ZHANG ; Qian ZHANG ; Huarong XU ; Wei XIAO ; Zhenzhong WANG ; Yan CUI ; Qing LI
Journal of Pharmaceutical Analysis 2025;15(9):101253-101253
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4.Research on in-situ measurement methods for lunar dust surface potential under ultraviolet irradiation
Liyong CAO ; Jihong YAN ; Dandan JU ; Yunlong LI ; Lifang LI
Space Medicine & Medical Engineering 2025;36(2):148-151
In ground-based experiments,ultraviolet irradiation is used to charge simulated lunar dust,aiming to quantitatively study its charging and discharging behavior in space environments.However,due to factors such as vacuum and dust disturbances,the charging and discharging processes of lunar dust are difficult to measure accurately through contact methods.Therefore,this paper designs and constructs a non-contact,in-situ surface potential measurement system based on the principle of vibrating capacitance,suitable for vacuum environments.The system combines moving average and standard deviation methods for data filtering and introduces a weighted KNN algorithm to predict and compensate for missing or anomalous data,thereby improving measurement accuracy and stability.Two typical simulated lunar dust samples,TYII-2 and CLRS-1A,were selected for charging and discharging experiments under ultraviolet irradiation.The surface potential distribution was obtained in real-time using an in-situ motion mechanism equipped with a vibrating capacitance sensor.The results show significant differences in the charging response and dissipation characteristics of the samples with different particle size distributions.
5.Enlarged perivascular spaces in different regions of acute ischemic stroke:analysis of 172 patients
Lifang MA ; Yan LI ; Li ZHOU ; Xiao HAN ; Jiaxin JIN ; Weiwei ZHANG ; Ying GAO
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(5):632-636
Objective To analyze the characteristic influencing factors for enlarged perivascular spaces(EPVS)in different regions of acute ischemic stroke(AIS)patients and explore their un-derlying pathogenesis.Methods A total of 172 AIS patients admitted to our department from September 2020 to September 2023 were consecutively enrolled.According to the distribution of EPVS,they were divided into basal ganglia EPVS group(n=103)and non-basal ganglia EPVS group(n=69),as well as centrum semiovale EPVS group(n=77)and non-centrum semiovale EPVS group(n=95).General information,NIHSS score at onset,TOAST classification,fasting blood glucose,liver function,coagulation function,and homocysteine(Hcy)level were collected in all the patients.Multivariate logistic regression analysis was used to identify independent influen-cing factors for EPVS in different regions.Results The basal ganglia EPVS group had significant-ly advanced age and larger proportion of hypertension than the non-basal ganglia EPVS group,while the centrum semiovale EPVS group had smaller proportion of hyperhomocysteinemia,and larger ratios of smoking and alcohol consumption,higher alanine aminotransferase(ALT)level,and longer thrombin time than the non-centrum semiovale EPVS group(P<0.05,P<0.01).Mul-tivariate logistic regression analysis showed that hypertension(OR=2.093,95%CI:1.045-4.192,P=0.037)and age(OR=1.071,95%CI:1.016-1.130,P=0.011)were independent influ-encing factors for basal ganglia EPVS,while alcohol consumption(OR=2.418,95%CI:1.097-5.330,P=0.029)and thrombin time(OR=1.593,95%CI:1.129-2.249,P=0.008)were inde-pendent influencing factors for centrum semiovale EPVS.Conclusion EPVS in different regions of AIS patients are associated with distinct risk factors.Age and hypertension are primary influen-cing factors for basal ganglia EPVS,while alcohol consumption and prolonged thrombin time are significant factors for centrum semiovale EPVS.
6.Prenatal diagnosis and follow-up of two cases of children with 18q terminal deletion
Lifang ZHANG ; Tingting LUO ; Feiyan QIAN ; Weiping CHEN ; Jiaming FAN ; Ming CHE ; Yan ZENG ; Tao ZHANG
Chinese Journal of Perinatal Medicine 2025;28(11):978-980
This study reported two cases of distal 18q deletions identified through non-invasive prenatal testing (NIPT). Case 1 harbored a de novo 20.4 Mb deletion of 46, XY, del(18) (q21.32q23), classified as pathogenic according to the American College of Medical Genetics and Genomics (ACMG) guidelines. Follow-up at five years of age revealed global developmental delay, congenital heart disease, and distinct facial features. Case 2 had a 5.71 Mb paternal-origin deletion of 46,XX,del(18)(q22.1q22.2), with only mild tricuspid regurgitation detected at eight months of age. These phenotypic discrepancies demonstrated that the clinical manifestations of 18q deletion syndrome were closely associated with the size of the deleted segment and the involved critical genes. Therefore, individualized genetic counseling and long-term follow-up were necessary for the affected children.
7.Enlarged perivascular spaces in different regions of acute ischemic stroke:analysis of 172 patients
Lifang MA ; Yan LI ; Li ZHOU ; Xiao HAN ; Jiaxin JIN ; Weiwei ZHANG ; Ying GAO
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2025;27(5):632-636
Objective To analyze the characteristic influencing factors for enlarged perivascular spaces(EPVS)in different regions of acute ischemic stroke(AIS)patients and explore their un-derlying pathogenesis.Methods A total of 172 AIS patients admitted to our department from September 2020 to September 2023 were consecutively enrolled.According to the distribution of EPVS,they were divided into basal ganglia EPVS group(n=103)and non-basal ganglia EPVS group(n=69),as well as centrum semiovale EPVS group(n=77)and non-centrum semiovale EPVS group(n=95).General information,NIHSS score at onset,TOAST classification,fasting blood glucose,liver function,coagulation function,and homocysteine(Hcy)level were collected in all the patients.Multivariate logistic regression analysis was used to identify independent influen-cing factors for EPVS in different regions.Results The basal ganglia EPVS group had significant-ly advanced age and larger proportion of hypertension than the non-basal ganglia EPVS group,while the centrum semiovale EPVS group had smaller proportion of hyperhomocysteinemia,and larger ratios of smoking and alcohol consumption,higher alanine aminotransferase(ALT)level,and longer thrombin time than the non-centrum semiovale EPVS group(P<0.05,P<0.01).Mul-tivariate logistic regression analysis showed that hypertension(OR=2.093,95%CI:1.045-4.192,P=0.037)and age(OR=1.071,95%CI:1.016-1.130,P=0.011)were independent influ-encing factors for basal ganglia EPVS,while alcohol consumption(OR=2.418,95%CI:1.097-5.330,P=0.029)and thrombin time(OR=1.593,95%CI:1.129-2.249,P=0.008)were inde-pendent influencing factors for centrum semiovale EPVS.Conclusion EPVS in different regions of AIS patients are associated with distinct risk factors.Age and hypertension are primary influen-cing factors for basal ganglia EPVS,while alcohol consumption and prolonged thrombin time are significant factors for centrum semiovale EPVS.
8.Prenatal diagnosis and follow-up of two cases of children with 18q terminal deletion
Lifang ZHANG ; Tingting LUO ; Feiyan QIAN ; Weiping CHEN ; Jiaming FAN ; Ming CHE ; Yan ZENG ; Tao ZHANG
Chinese Journal of Perinatal Medicine 2025;28(11):978-980
This study reported two cases of distal 18q deletions identified through non-invasive prenatal testing (NIPT). Case 1 harbored a de novo 20.4 Mb deletion of 46, XY, del(18) (q21.32q23), classified as pathogenic according to the American College of Medical Genetics and Genomics (ACMG) guidelines. Follow-up at five years of age revealed global developmental delay, congenital heart disease, and distinct facial features. Case 2 had a 5.71 Mb paternal-origin deletion of 46,XX,del(18)(q22.1q22.2), with only mild tricuspid regurgitation detected at eight months of age. These phenotypic discrepancies demonstrated that the clinical manifestations of 18q deletion syndrome were closely associated with the size of the deleted segment and the involved critical genes. Therefore, individualized genetic counseling and long-term follow-up were necessary for the affected children.
9.Prediction of potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest and maximum entropy models
Zongya ZHANG ; Chunhong DU ; Yun ZHANG ; Hongqiong WANG ; Jing SONG ; Jihua ZHOU ; Lifang WANG ; Jiayu SUN ; Meifen SHEN ; Chunqiong CHEN ; Hua JIANG ; Jiaqi YAN ; Xiguang FENG ; Wenya WANG ; Peijun QIAN ; Jingbo XUE ; Shizhu LI ; Yi DONG
Chinese Journal of Schistosomiasis Control 2024;36(6):562-571
Objective To predict the potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into O. hupensis surveillance and control in Yunnan Province. Methods The O. hupensis snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into O. hupensis snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population). Variables were screened with Pearson correlation test and variance inflation factor (VIF) test. The RF and MaxEnt models and the ensemble model were created using the biomod2 package of the software R 4.2.1, and the potential distribution of O. hupensis snails after 2016 was predicted in Yunnan Province. The predictive effects of models were evaluated through cross-validation and independent tests, and the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS) and Kappa statistics were used for model evaluation. In addition, the importance of environmental variables was analyzed, the contribution of environmental variables output by the models with AUC values of > 0.950 and TSS values of > 0.850 were selected for normalization processing, and the importance percentage of environmental variables was obtained to analyze the importance of environmental variables. Results Data of 148 O. hupensis snail distribution sites and 15 environmental variables were included in training sets of RF and MaxEnt models, and both RF and MaxEnt models had high predictive performance, with both mean AUC values of > 0.900 and all mean TSS values and Kappa values of > 0.800, and significant differences in the AUC (t = 19.862, P < 0.05), TSS (t = 10.140, P < 0.05) and Kappa values (t = 10.237, P < 0.05) between two models. The AUC, TSS and Kappa values of the ensemble model were 0.996, 0.954 and 0.920, respectively. Independent data verification showed that the AUC, TSS and Kappa values of the RF model and the ensemble model were all 1, which still showed high performance in unknown data modeling, and the MaxEnt model showed poor performance, with TSS and Kappa values of 0 for 24%(24/100) of the modeling results. The modeling results of 79 RF models, 38 MaxEnt models and their ensemble models with AUC values of > 0.950 and TSS values of > 0.850 were included in the evaluation of importance of environmental variables. The importance of annual sunshine duration (SSD) was 32.989%, 37.847% and 46.315% in the RF model, the MaxEnt model and their ensemble model, while the importance of annual mean relative humidity (RHU) was 30.947%, 15.921% and 28.121%, respectively. Important environment variables were concentrated in modeling results of the RF model, dispersed in modeling results of the MaxEnt model, and most concentrated in modeling results of the ensemble model. The potential distribution of O. hupensis snails after 2016 was predicted to be relatively concentrated in Yunnan Province by the RF model and relatively large by the MaxEnt model, and the distribution of O. hupensis snails predicted by the ensemble model was mostly the joint distribution of O. hupensis snails predicted by RF and MaxEnt models. Conclusions Both RF and MaxEnt models are effective to predict the potential distribution of O. hupensis snails in Yunnan Province, which facilitates targeted O. hupensis snail control.
10.Pharmacokinetics and in vitro-in vivo correlation of progesterone suspension injection
Lanlan LIU ; Qilin CAI ; Wenyan ZHANG ; Zhen YAN ; Lifang YIN
Journal of China Pharmaceutical University 2024;55(2):217-223
Abstract: To investigate the in vitro release, in vivo pharmacokinetics, and the in vitro-in vivo correlation of progesterone suspension injection, self-made progesterone suspension injection was taken as an example. The in vitro release curves of three different particle sizes of progesterone suspension injections were measured using paddle method and dialysis bag method. The in vivo pharmacokinetic characteristics of self-made progesterone suspension injection was studied on SD rats. The plasma concentration of self-made progesterone preparation was detected after intramuscular injection, and correlated with the in vitro release profiles obtained by the dialysis bag method after processing by Wagner-Nelson method. The results showed that when the in vitro release of three different particle sizes of progesterone suspension injections was measured by the paddle method, more than 85% was rapidly released within 20 min, while 85% cumulative release was reached at 40 h, 84 h and 120 h by dialysis bag method, respectively. The release rate obtained by the dialysis bag method was basically consistent with the in vivo release trend, with a correlation coefficient of >0.95, indicating a strong in vivo and in vitro correlation. This study provides some reference for the establishment of the in vitro and in vivo correlation of long-acting suspension injection.

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