ObjectiveTo investigate the safety and efficacy of transparent cap-assisted peroral cholangiopancreatoscopy-guided electrohydraulic lithotripsy （EHL）. MethodsA retrospective analysis was performed for the clinical data of 60 patients with large common bile duct stones who were admitted to Department of Gastroenterology， Jilin People’s Hospital， from May 1， 2023 to January 31， 2026， and according to the treatment method， the patients were divided into transparent cap-assisted peroral cholangiopancreatoscopy-guided electrohydraulic lithotripsy group and peroral cholangiopancreatoscopy-guided electrohydraulic lithotripsy group， with 30 patients in each group. The two groups were compared in terms of the rate of successful single-session stone fragmentation and removal， procedural time， duration of electrohydraulic lithotripsy， clinical success rate， and complications. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. ResultsCompared with the peroral cholangiopancreatoscopy-guided electrohydraulic lithotripsy group， the transparent cap-assisted peroral cholangiopancreatoscopy-guided electrohydraulic lithotripsy group had a significantly higher technical success rate （83.33% vs 60.00%， χ²=4.022， P=0.045） and significantly shorter procedural time ［46.00 （42.25 — 49.00） min vs 54.50 （42.00 — 65.00） min， Z=2.012， P=0.044］ and duration of electrohydraulic lithotripsy ［8.00 （6.25 — 11.75） min vs 13.50 （9.25 — 17.75） min， Z=2.749， P=0.006］. Both groups achieved a clinical success rate of 100%， with no significant difference in the incidence rate of complications （P>0.05）. ConclusionTransparent cap-assisted peroral cholangiopancreatoscopy-guided electrohydraulic lithotripsy has a high rate of successful single-session stone fragmentation and removal and a short procedural time， with good safety and efficacy， and therefore， it holds promise for clinical application.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the gut microbiota and metabolic profiles of patients with neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), and to identify potential microbial biomarkers with diagnostic values.Methods:A total of 16 NMOSD patients, 6 MOGAD patients, and 22 age- and sex-matched healthy controls were recruited from Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology since June 2024. Fecal samples were subjected to metagenomic sequencing and untargeted metabolomics. Differential microbes were identified using LEfSe (linear discriminant analysis effect size), and receiver operating characteristic curve analysis was performed to evaluate diagnostic potential. Spearman correlation analysis was used to assess relationships between key microbes, metabolites, and serum antibody titers.Results:Distinct alterations in gut microbiota were observed in both disease groups compared with healthy controls. Ligilactobacillus salivarius was significantly enriched in both NMOSD and MOGAD patients and exhibited robust diagnostic accuracy (area under the curve=0.779 P=0.005). Metabolomics revealed that levels of ethosuximide and lysine-proline were elevated, while free fatty acids (15∶1) and 5, 6-dihydrothymine were reduced in the disease groups. Analysis results indicated that Ligilactobacillus salivarius abundance was positively correlated with aquaporin 4 antibody titers in NMOSD patients ( r=0.522, P=0.046). Conclusions:Patients with NMOSD and MOGAD have characteristic alterations in gut microbial and metabolic profiles.

The Chinese Pharmacopoeia is the legal technical standard which should be followed during the research, production, use, and administration of drugs. At present, the new edition of the Chinese Pharmacopoeia is planned to be promulgated and implemented. This article summarizes and analyzes the main characteristics and the content of updates and amendments of the Chinese Pharmacopoeia 2025 Edition(Volume Ⅰ), to provide a reference for the correct understanding and accurate implementation the new edition of the pharmacopoeia.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

This paper aims to explore the effect of electrical stimulation of triboelectric nanogenerators (TENGs) on the osteogenic and other biological behaviors of mouse embryonic osteoblast precursor cells (MC3T3-E1 cells) on titanium surfaces. First, an origami-type TENG was fabricated, and its electrical output performance was tested. The optimal current of the generator and the feasibility of the experiment were verified by the CCK-8 assay and scratch assay. At the optimal current, the osteogenic conditions of the cells in each group were determined by quantitative analysis of the total protein content, alkaline phosphatase (ALP) activity, and alizarin red staining (ARS) on the titanium surface. Finally, the adhesion and spreading of cells on the titanium surface after electrical stimulation were observed. The results showed that the TENG had good electrical output performance, with an open-circuit voltage of 65 V and a short-circuit current of 42 μA. Compared with the rest of the current, a current strength of 30 μA significantly improved cell proliferation and migration, osteogenesis, and adhesion and spreading capabilities. The above results confirm the safety and operability of TENG in biomedical applications, laying the foundation for future TENG applications in reducing the time of bone integration around titanium implants after surgery.
Titanium/chemistry* ; Osteogenesis ; Animals ; Mice ; Osteoblasts/cytology* ; Electric Stimulation/instrumentation* ; Cell Adhesion ; Cell Proliferation ; Surface Properties ; Cell Differentiation ; Nanotechnology

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the gut microbiota and metabolic profiles of patients with neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD), and to identify potential microbial biomarkers with diagnostic values.Methods:A total of 16 NMOSD patients, 6 MOGAD patients, and 22 age- and sex-matched healthy controls were recruited from Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology since June 2024. Fecal samples were subjected to metagenomic sequencing and untargeted metabolomics. Differential microbes were identified using LEfSe (linear discriminant analysis effect size), and receiver operating characteristic curve analysis was performed to evaluate diagnostic potential. Spearman correlation analysis was used to assess relationships between key microbes, metabolites, and serum antibody titers.Results:Distinct alterations in gut microbiota were observed in both disease groups compared with healthy controls. Ligilactobacillus salivarius was significantly enriched in both NMOSD and MOGAD patients and exhibited robust diagnostic accuracy (area under the curve=0.779 P=0.005). Metabolomics revealed that levels of ethosuximide and lysine-proline were elevated, while free fatty acids (15∶1) and 5, 6-dihydrothymine were reduced in the disease groups. Analysis results indicated that Ligilactobacillus salivarius abundance was positively correlated with aquaporin 4 antibody titers in NMOSD patients ( r=0.522, P=0.046). Conclusions:Patients with NMOSD and MOGAD have characteristic alterations in gut microbial and metabolic profiles.

Objective To explore the mechanism of Qihuang Jianpi Zishen Granules(QJZG)for improving thrombocytopenia in a mouse model of systemic lupus erythematosus(SLE).Methods Twenty-four MRL/lpr lupus mice were randomized equally into 4 groups for treatment with daily gavage of saline,QJZG or prednisone(Pred)or intraperitoneal injection(twice a week)of CaMKK2 activator,with 6 C57BL/6 mice with saline gavage as the control group.After 8 weeks of treatment,the mice were examined for PLT,PCT,PDW,MPV,serum levels of TPO,IL-6,IL-10,TNF-α and IFN-γ,and calcium ion fluorescence intensity using ELISA or flow-through assay.RT-qPCR was used to detect platelet CaMKK2,AMPK2α,mTOR,Beclin1 and p62 mRNA expression levels,and the protein expressions of CaMKK2,p-CaMKK2,AMPK,p-AMPK,mTOR,p-mTOR,LC3,Beclin1 and p62 were detected using Western blotting.Results The saline-treated MRL/lpr lupus mice showed significantly lowered levels of PLT,PCT,IL-10,mTOR,p62 mRNA,p-mTOR and P62 with increased PDW,MPV,serum TPO,IL-6,TNF-α and IFN-γ levels,and platelet expressions of CaMKK2,AMPK,Bcl-1 mRNA,p-CaMKK2,p-AMPK,LC3Ⅱ and Beclin1.These abnormalities were significantly improved in QJZG group and Pred group but worsened after treatment with the CaMKK2 activator.Conclusion QJZG can ameliorate thrombocytopenia in mouse models of SLE by reducing inflammation and inhibiting platelet autophagy via regulating the Ca2+/CaMKK2/AMPK/mTOR signaling pathways.