1.Visualization analysis of studies on Oncomelania hupensis control from 2005 to 2024
Wen ZHU ; Huatang LUO ; Hao WANG ; Yuelin XIONG ; Cong LIU
Chinese Journal of Schistosomiasis Control 2026;38(1):84-91
Objective To analyze Chinese and English publications pertaining to Oncomelania hupensis control from 2005 to 2024, so as to decipher the research status and hotspots of O. hupensis control. Methods Chinese and English publications pertaining to O. hupensis control from 2005 to 2024 were retrieved in the Web of Science Core Collection Database and China National Knowledge Infrastructure. The annual number of publications was analyzed from 2005 to 2024, and the author and institution cooperation networks were mapped using the software CiteSpace 6.3.1. Keywords were extracted from publications to map the co-occurrence, burst and timeline of keywords to identify the research hotspots of O. hupensis control. Results A total of 158 English publications and 771 Chinese publications were included for bibliometric analyses. The overall output of English publications was relatively small from 2005 to 2024, the annual average publication was 7.90 publications. Parasites & Vectors was the most productive journal by the number of publications (21 publications). The three most productive authors included Li Shizhu (24 publications), Zhou Xiaonong (13 publications), and Yang Kun (12 publications), and the three most productive institutions included Chinese Center for Disease Control and Prevention (49 publications), the WHO (27 publications), and Fudan University (25 publications). The annual average number of Chinese publications was high from 2005 to 2015 (57.73 publications), and reduced to 15.11 publications during the period from 2016 to 2024, with Chinese Journal of Schistosomiasis Control as the most productive journal (241 publications). The three most productive authors included Wang Wanxian (18 publications), Sun Qixiang (16 publications), and Dai Jianrong (16 publications), and the three most productive institutions included Jiangsu Institute of Parasitic Diseases (55 publications), Chinese Center for Disease Control and Prevention (47 publications), and Hubei Uni-versity (38 publications). Among the 158 English publications, molluscicidal effect, climate change, geographic information, biological control, machine learning were current research hotspots, and the Yangtze River and elimination were emerging research hotspots. Among the 771 Chinese publications, molluscicidal effect, niclosamide, comprehensive management, molluscicide, effectiveness evaluation, marshland, and endophyte were current research hotspots, and the future research hotspots shifted to molluscicidal effect and pyriclobenzuron. Conclusions Limited attention is paid to the research on O. hupensis control across the world. The Yangtze River, elimination, molluscicidal effect, and pyriclobenzuron may be future research hotspots. High attention is recommended to be paid to the research on O. hupensis control, and development of diverse approaches for O. hupensis control is of urgent needs. We should continue to attach importance to the control research of O. hupensis and strengthen the exploration of diverse snail extermination and control methods.
2.Analysis of The Characteristics of Brain Functional Activity in Gross Motor Tasks in Children With Autism Based on Functional Near-infrared Spectroscopy Technology
Wen-Hao ZONG ; Qi LIANG ; Shi-Yu YANG ; Feng-Jiao WANG ; Meng-Zhao WEI ; Hong LEI ; Gui-Jun DONG ; Ke-Feng LI
Progress in Biochemistry and Biophysics 2025;52(8):2146-2162
ObjectiveBased on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective. MethodsAccording to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity. ResultsCompared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2. ConclusionChildren with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.
3.Exploration and reference of Finnish school meal services
Chinese Journal of School Health 2025;46(9):1222-1225
Abstract
To promote the high quality development of school meal services, and to shape civilized and healthy eating habits for children and adolescents, the study analyzes Finnish school meal services. Finnish school meal services are not only free of charge, nutritionally balanced, safe and hygienic, but also carry the educational function of edutainment in meals. In order to ensure the high quality and efficient operation of the school meal service system, Finland has built a horizontal collaborative governance model, that is, the departments of education, finance, health and quality inspection have a clear division of labor and respective responsibilities. China can learn from the experience of Finnish schools in meal services, strengthen financial and legal guarantees, develop the educational functions of school meal services, and make full use of information technology such as the Internet, the Internet of things, and big data to promote the high quality development of school meal services.
4.CT signs and AI parameters predict colorectal cancer neoadjuvant chemotherapy efficacy
Guobin LAN ; Chuang LIU ; Hao WANG ; Hongyu MA ; Zeliang LI ; Wen CHEN ; Wenqiang ZHANG
Chinese Journal of Radiological Health 2025;34(5):713-719
Objective To explore the value of CT signs and quantitative parameters of artificial intelligence (AI) in predicting the efficacy of neoadjuvant chemotherapy for colorectal cancer. Methods A total of 349 colorectal cancer patients who received neoadjuvant chemotherapy at Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine in Hebei Province from January 2022 to January 2025 were selected and and divided into the effective group (n = 267) and the ineffective group (n = 82) according to the evaluation criteria for the efficacy of solid tumors. Conduct a CT examination and extract AI quantitative parameters from the CT images based on the lesion. The data were analyzed using SPSS21.0 software, Logistic regression was used to screen the influencing factors of ineffective neoadjuvant chemotherapy in patients with colorectal cancer, and separate and combined models of CT signs and AI quantitative parameters were established. The predictive effect of the model was verified by using the ROC curve, calibration curve and decision curve. Results Compared with the effective group, the proportion of regular tumor morphology and the proportion of non-enlarged lymph nodesin the ineffective group were smaller. The tumor volume, peak value and entropy value were larger (P < 0.05). Multivariable analysis showed that irregular shape (OR= 4.216), presence of lymph node enlargement (OR = 8.998), larger tumor volume (OR = 1.109), higher average CT value (OR = 1.120), elevated peak value (OR = 2.528), and increased entropy value (OR = 1.390) were independent risk factors for ineffective neoadjuvant chemotherapy in colorectal cancer (P < 0.05). The areas under the ROC curves of the individual and combined models of CT signs and AI quantitative parameters were 0.777, 0.818, and 0.877, respectively(P < 0.05). The calibration curve showed a Brier score of 0.091. The decision curve showed that the threshold was between 0.10 and 0.85, and the combined model achieved a relatively high net clinical benefit. Conclusion CT signs combined with AI quantitative parameters has a predictive value for the efficacy of neoadjuvant chemotherapy in colorectal cancer. To provide evidence-based basis for clinical screening of the population benefiting from chemotherapy and optimization of treatment strategies.
5.Development and multicenter validation of machine learning models for predicting postoperative pulmonary complications after neurosurgery.
Ming XU ; Wenhao ZHU ; Siyu HOU ; Hongzhi XU ; Jingwen XIA ; Liyu LIN ; Hao FU ; Mingyu YOU ; Jiafeng WANG ; Zhi XIE ; Xiaohong WEN ; Yingwei WANG
Chinese Medical Journal 2025;138(17):2170-2179
BACKGROUND:
Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery.
METHODS:
PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed.
RESULTS:
PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model.
CONCLUSIONS:
The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes.
TRIAL REGISTRATION
ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult
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Aged
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Female
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Humans
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Male
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Middle Aged
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Algorithms
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Lung Diseases/etiology*
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Machine Learning
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Neurosurgical Procedures/adverse effects*
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Postoperative Complications/diagnosis*
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Risk Factors
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ROC Curve
6.Effects of honey-processed Astragalus on energy metabolism and polarization of RAW264.7 cells
Hong-chang LI ; Ke PEI ; Wang-yang XIE ; Xiang-long MENG ; Zi-han YU ; Wen-ling LI ; Hao CAI
Acta Pharmaceutica Sinica 2025;60(2):459-470
In this study, RAW264.7 cells were employed to investigate the effects of honey-processed
7.Effectiveness of the integrated schistosomiasis control programme in Wuhan City from 2005 to 2023
Shuai WANG ; Huatang LUO ; Yang LI ; Hao WANG ; Cong LIU ; Yuelin XIONG ; Jiajing ZHANG ; Wen ZHU
Chinese Journal of Schistosomiasis Control 2025;37(2):176-183
Objective To evaluate the effectiveness of the integrated schistosomiasis control programme in Wuhan City from 2005 to 2023, so as to provide insights into precision control and elimination of schistosomiasis. Methods The integrated measures for schistosomiasis control implemented by health, agriculture, water resources, and forestry departments of Wuhan City, and the epidemiological data of schistosomiasis in Wuhan City were collected from 2005 to 2023, and the prevalence of human schistosomiasis, prevalence of Schistosoma japonicum infections in humans and bovines, areas of S. japonicum-infected snail habitats, areas of snail habitats in inner embankments, and actual areas of snail habitats were retrieved. In addition, the trends in prevalence of schistosomiasis in humans and livestock and snail status were evaluated in Wuhan City from 2005 to 2023 using Mann-Kendall test and a Joinpoint regression model. Results Mann-Kendall test revealed a tendency towards a decline in the prevalence of human schistosomiasis (Z = -4.41, P < 0.01), prevalence of S. japonicum infections in humans (Z = -4.89, P < 0.01) and bovines (Z = -4.50, P < 0.01), areas of S. japonicum-infected snail habitats (Z = -3.91, P < 0.01), areas of snail habitats in inner embankments (Z = -2.28, P = 0.02), and actual areas of snail habitats (Z = -5.95, P < 0.01) in Wuhan City from 2005 to 2023. Joinpoint regression analysis showed an average annual reduction of 8.58% in the prevalence of human schistosomiasis in Wuhan City from 2005 to 2023 [average annual percent change (AAPC) = -8.58%, 95% confidence interval (CI): (-10.02%, -6.65%), P < 0.01], with two joinpoints in 2013 and 2016, respectively, and the tendency towards a decline showed statistical significance during the period from 2013 through 2016 [annual percent change (APC) = -34.41%, 95% CI: (-40.36%, -20.01%), P < 0.01]. The prevalence of S. japonicum human infections appeared an average annual reduction of 51.91% in Wuhan City from 2005 to 2023 [AAPC = -51.91%, 95% CI: (-58.12%, -44.25%), P < 0.01], with two joinpoints in 2014 and 2017, respectively, and the tendency towards a decline showed statistical significance during the period from 2014 through 2017 [APC = -98.17%, 95% CI: (-99.17%, -90.87%), P < 0.01]. The prevalence of S. japonicum infections in bovines appeared an average annual reduction of 53.12% in Wuhan City from 2005 to 2023 [AAPC = -53.12%, 95% CI: (-59.65%, -42.44%), P < 0.01], with two joinpoints in 2011 and 2014, respectively, and the tendency towards a decline showed statistical significance during the period from 2014 through 2017 [APC = -98.63%, 95% CI: (-99.44%, -90.93%), P < 0.01]. The areas of S. japonicum-infected snail habitats appeared an average annual reduction of 47.09% in Wuhan City from 2005 to 2023 [AAPC = -47.09%, 95% CI: (-52.92%, -38.26%), P < 0.01], with two joinpoints in 2011 and 2014, respectively, and the tendency towards a decline showed statistical significance during the period from 2011 through 2014 [APC = -97.27%, 95% CI: (-98.65%, -88.06%), P < 0.01]. The areas of snail habitats in inner embankments appeared an average annual reduction of 4.45% in Wuhan City from 2005 to 2023 [AAPC = -4.45%, 95% CI: (-5.18%, -3.82%), P < 0.01], with three joinpoints in 2011, 2015 and 2018, respectively, and statistical significance was seen in the tendency towards a decline during the period from 2005 through 2011 [APC = -16.38%, 95% CI: (-20.15%, -14.25%), P < 0.01]. In addition, the actual areas of snail habitats appeared an average annual reduction of 2.65% in Wuhan City from 2005 to 2023 [AAPC = -2.65%, 95% CI: (-2.89%, -2.40%), P < 0.01], with a joinpoint in 2013, and the tendency towards a decline showed statistical significance during the period from 2013 through 2023 [APC = -4.06%, 95% CI: (-4.66%, -3.58%), P < 0.01]. Conclusions The integrated schistosomiasis control programme achieved significant effectiveness in Wuhan City from 2005 to 2023, with a tendency towards a decline in morbidity due to schistosomiasis in humans and livestock and snail status. The integrated schistosomiasis control strategy with emphasis on management of the source of S. japonicum infections should continue to be implemented to consolidate the schistosomiasis control achievements and achieve the goal of schistosomiasis elimination in the city.
8.Parkinsonism in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy: Clinical Features and Biomarkers
Chih-Hao CHEN ; Te-Wei WANG ; Yu-Wen CHENG ; Yung-Tsai CHU ; Mei-Fang CHENG ; Ya-Fang CHEN ; Chin-Hsien LIN ; Sung-Chun TANG
Journal of Stroke 2025;27(1):122-127
9.Research progress on pharmacological effects and mechanism of α-asarone and β-asarone in Acori Tatarinowii Rhizoma.
Hao WANG ; Lei GAO ; Jin-Lian ZHANG ; Ling-Yun ZHONG ; Shu-Han JIN ; Xiao-Yan CHEN ; Wen ZHANG ; Jia-Wen WEN
China Journal of Chinese Materia Medica 2025;50(9):2305-2316
Acori Tatarinowii Rhizoma is the dried rhizome of Acorus tatarinowii in the family of Tennantiaceae, which has the efficacy of opening up the orifices and expelling phlegm, awakening the mind and wisdom, and resolving dampness and opening up the stomach. Modern studies have shown that volatile oil is the main active ingredient of Acori Tatarinowii Rhizoma, and α-asarone and β-asarone have been proved to be the active ingredients in the volatile oil of Acori Tatarinowii Rhizoma, with pharmacological effects such as anti-Alzheimer's disease, antiepileptic, anti-Parkinson's disease, antidepressant, anticerebral ischemia/reperfusion injury, anti-thrombosis, lipid-lowering, and antitumor. By summarising and outlining the pharmacological effects of α-asarone and β-asarone and elucidating the possible mechanisms of their pharmacological effects, we can provide theoretical basis for the further research and clinical application of Acori Tatarinowii Rhizoma.
Allylbenzene Derivatives
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Acorus/chemistry*
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Anisoles/chemistry*
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Rhizome/chemistry*
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Drugs, Chinese Herbal/chemistry*
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Humans
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Animals
10.Optimization of extraction process for Shenxiong Huanglian Jiedu Granules based on AHP-CRITIC hybrid weighting method, grey correlation analysis, and BP-ANN.
Zi-An LI ; De-Wen LIU ; Xin-Jian LI ; Bing-Yu WU ; Qun LAN ; Meng-Jia GUO ; Jia-Hui SUN ; Nan-Yang LIU ; Hui PEI ; Hao LI ; Hong YI ; Jin-Yu WANG ; Liang-Mian CHEN
China Journal of Chinese Materia Medica 2025;50(10):2674-2683
By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis*
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Neural Networks, Computer


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