1.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
2.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
3.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
4.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.
5.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
6.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.
7.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.
8.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.
9.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
10.Pharmacokinetics and anti-inflammatory activity of cannabidiol/ γ-polyglutamic acid-g-cholesterol nanomicelles.
Rui LI ; Li-Yan LU ; Chu XU ; Rui HAO ; Xiao YU ; Rui GUO ; Jue CHEN ; Wen-Hui RUAN ; Ying-Li WANG
China Journal of Chinese Materia Medica 2025;50(2):534-541
In this study, the pharmacokinetic characteristics and tissue distribution of cannabidiol(CBD)/γ-polyglutamic acid-g-cholesterol(γ-PGA-g-CHOL) nanomicelles [CBD/(γ-PGA-g-CHOL)NMs] were investigated by pharmacokinetic experiments, and the effect of CBD/(γ-PGA-g-CHOL)NMs on the lipopolysaccharide(LPS)-induced inflammatory damage of cells was evaluated by cell experiments. CBD/(γ-PGA-g-CHOL)NMs were prepared by dialysis. The CBD concentrations in the plasma samples of male SD rats treated with CBD and CBD/(γ-PGA-g-CHOL)NMs were investigated, and the pharmacokinetic parameters were calculated and compared. UPLC-MS/MS was employed to determine the concentration of CBD in tissue samples. The heart, liver, spleen, lung, kidney, and muscle samples were collected at different time points to explore the tissue distribution of CBD and CBD/(γ-PGA-g-CHOL)NMs. The Caco-2 cell model of LPS-induced inflammation was established, and the cell viability, transepithelial electrical resistance(TEER), and secretion levels of inflammatory cytokines were determined to compare the anti-inflammatory activity between the two groups. The results showed that CBD/(γ-PGA-g-CHOL)NMs had the average particle size of(163.1±2.3)nm, drug loading of 8.78%±0.28%, and encapsulation rate of 84.46%±0.35%. Compared with CBD, CBD/(γ-PGA-g-CHOL)NMs showed increased peak concentration(C_(max)) and prolonged peak time(t_(max)) and mean residence time(MRT_(0-t)). Within 24 h, the tissue distribution concentration of CBD/(γ-PGA-g-CHOL)NMs was higher than that of CBD. In addition, both CBD and CBD/(γ-PGA-g-CHOL)NMs significantly enhanced Caco-2 cell viability and TEER, lowered the secretion levels of inflammatory cytokines, and alleviated inflammation. Moreover, CBD/(γ-PGA-g-CHOL)NMs demonstrated stronger anti-inflammatory effect. It can be inferred that γ-PGA-g-CHOL blank nanomicelles are good carriers of CBD, being capable of prolonging the circulation time of CBD in the blood, improving the bioavailability and tissue distribution concentration of CBD, and protecting against LPS-induced inflammatory injury. The findings can provide an experimental basis for the development and clinical application of oral CBD preparations.
Animals
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Cannabidiol/administration & dosage*
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Polyglutamic Acid/analogs & derivatives*
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Humans
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Male
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Rats
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Rats, Sprague-Dawley
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Anti-Inflammatory Agents/administration & dosage*
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Micelles
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Caco-2 Cells
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Cholesterol/pharmacokinetics*
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Tissue Distribution
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Nanoparticles/chemistry*


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