ObjectiveTo systematically compare the effects of diverse electromagnetic stimulation protocols on hand function and activities of daily living (ADL) in stroke patients using network meta-analysis (NMA), and screen the optimal stimulation strategy for post-stroke hand dysfunction rehabilitation. MethodsNMA was performed in accordance with the PRISMA-NMA statement. Databases of CNKI, Wanfang data, VIP, CBM, PubMed, Web of Science and Embase were searched from database inception to April, 2026 for eligible randomized controlled trials (RCTs) comparing different electromagnetic stimulation protocols for post-stroke hand impairment. The Cochrane Risk of Bias tool and PEDro scale were used to assess methodological quality of included studies, while the GRADE system was adopted to grade evidence quality of primary outcomes of Fugl-Meyer Assessment-Upper Extremities (FMA-UE) and modified Barthel Index (MBI). After literature screening, data extraction and bias evaluation, RevMan 5.4 and Stata 17.0 were used for meta-analysis and NMA. ResultsA total of 22 RCT involving 17 electromagnetic stimulation protocols were finally included. The PEDro scores ranged from six to ten. The top five protocols for improving FMA-UE score were repetitive peripheral magnetic stimulation (rPMS) + repetitive transcranial magnetic stimulation (rTMS), intermittent theta-burst stimulation (iTBS) + rPMS, iTBS + transcranial direct current stimulation (tDCS), transcutaneous electrical acupoint stimulation (TEAS) and contralaterally controlled functional electrical stimulation (CCFES). tDCS was the most effective on MBI, followed by TEAS and iTBS+rPMS. Evidence quality for FMA-UE and MBI was moderate. Funnel plots suggested low risk of publication bias, and consistency tests verified good coherence between direct and indirect comparisons in network models. ConclusionElectromagnetic stimulation significantly facilitates upper limb and hand functional recovery, and improves ADL in stroke patients. The combined central-peripheral magnetic stimulation protocol may be the most effective on motor rehabilitation, whereas tDCS on ADL.

Objective To analyze the clinical and epidemiological characteristics of influenza A(H3N2) in Tangshan City, Hebei Province, from 2023 to 2025, and to provide a scientific basis for precise prevention and control of local influenza. Methods The influenza-like cases and influenza outbreak cases in the influenza surveillance sentinel hospitals in Tangshan City from January 2023 to December 2025 were included in this study. The clinical characteristics and epidemic characteristics of H3N2 influenza patients were analyzed by descriptive epidemiological methods and chi-square test. Results A total of 11 567 influenza case samples were tested in the study, with a positive rate of 9.34% (1 080/11 567). Influenza A (H3N2) remained the predominant circulating subtype throughout the study period. January 2023 to February 2023 marked the tailing end of the previous season’s H3N2. Then, a minor peak dominated by H1N1 occurred from March to June, and H3N2 circulated again from October to December, peaking in December. From September 2024 to December 2024, H1N1 and H3N2 circulated concurrently, with H3N2 as the dominant strain, peaking in January of the following year. From March 2025 to September 2025, influenza activity remained at low level, and activity began to rise in October, with H1N1 peaking in November before declining, and H3N2 becoming the dominant strain in December. H3N2 mainly occurred in the 5-14 years old group. Cases in the 0–4-year-old group were primarily characterized by gastrointestinal symptoms, with high fever being common. Cases in the 5–59-year-old group were primarily characterized by systemic and respiratory symptoms, with better clinical outcomes. Cases aged 60 and older exhibited the highest rates of hospitalization, severe illness, and incidence of complications. Conclusion From 2023 to 2025, the influenza virus in Tangshan City, Hebei Province is dominated by influenza A (H3N2). The epidemic is characterized by a peak incidence during autumn and winter, co-circulation with H1N1, and fluctuations during the peak period. It is necessary to pay attention to the clinical management and prevention and control of influenza A (H3N2) in infants and the elderly.

Objective:Ménière's disease（MD） is a common disorder of the inner ear. The fluctuating clinical symptoms and the absence of gold standards for diagnosis have posed serious problems for clinical diagnosis and treatment over the years. With the development of science and technology, artificial intelligence （AI） has been widely used in the field of medicine, and the potential of AI application to MD is demonstrated. The purpose of this review is to outline the use of AI in MD. Initially, specific instances where AI aids in differentiating MD from other causes of vertigo are presented. Furthermore, the role of AI in the evaluation of Endolymphatic Hydrops （EH）, particularly through imaging and biochemical assays, is highlighted due to its correlation with MD. Additionally, the effectiveness of AI in managing MD patients and forecasting disease progression is examined. In conclusion, the prevalent challenges hindering the clinical integration of AI in MD treatment are discussed, alongside potential strategies to surmount these barriers.
Humans ; Meniere Disease/diagnosis* ; Artificial Intelligence ; Endolymphatic Hydrops/diagnosis*

Objective To explore the association between oral microbiota and esophageal carcinogenesis. Methods A case-control study design was employed. A total of 309 subjects were recruited, consisting of 159 healthy controls, 32 cases of esophageal basal cell hyperplasia, 32 cases of low-grade intraepithelial neoplasia, 14 cases of high-grade intraepithelial neoplasia, and 72 cases of esophageal squamous cell carcinoma. Tongue swab samples were collected for 16S rRNA sequencing. The α-diversity and β-diversity of the microbiota were analyzed, and the characteristics of the microbial communities at different stages of esophageal carcinogenesis were compared. The strength of the association was expressed by odds ratio (OR) and 95% confidence interval (CI). Results α-diversity analysis indicated significant differences in the observed species number (Sobs) index across various stages of esophageal cancer progression (P<0.001). After adjusting for confounding factors such as age, gender, smoking, and alcohol consumption, the Simpson index was positively correlated with carcinogenesis (P=0.006). β-diversity analysis revealed differences in microbiota structure among the groups. After ordered multinomial logistic regression analysis and adjustment for multiple confounding factors, the relative abundance of Peptostreptococcus (OR: 2.06, 95%CI: 1.22–3.60), Patescibacteria (OR: 1.31, 95%CI: 1.04–1.67), Capnocytophaga (OR: 1.24, 95%CI: 1.05–1.54), and Bacteroidota (OR: 1.02, 95%CI: 1.00–1.05) was positively correlated with carcinogenesis. The relative abundance of Stomatobaculum (OR: 0.57, 95%CI: 0.30–1.00) and Actinobacteriota (OR: 0.95, 95%CI: 0.92–0.98) was negatively correlated with carcinogenesis. Conclusion Specific oral microbiotas are significantly associated with esophageal carcinogenesis, and synergistic or antagonistic interactions may be observed among the microbiota.

Heat stroke is a heat-related illness caused by an imbalance between the body's heat production and heat dissipation,which could lead to multiple organ dysfunction syndrome with a high mortality rate.Rapid and effective reduction of core body temperature is key to successful treatment.This article reviews recent progress in the treatment of heat stroke,including new understandings of organ injury mechanisms,the timing,velocity and goals of cooling treatment,evaluation and selection of traditional cooling techniques(such as cold water immersion),and scientific evaluation of new cooling technologies(such as blood purification technology and intravascular heat exchange cooling technology),aiming to promote understanding and treatment of heat stroke.

Objective To assess the intervention effect of nicotinamide mononucleotide (NMN) on the mouse model of hematotoxicity induced by subacute benzene exposure. Methods Benzene exposure and NMN intervention were adopted in a 2×2 factorial design, as benzene exposure and non-exposure, and NMN intervention and non-intervention. Male specific pathogen-free C57BL/6J mice were randomly assigned to negative control group, NMN control group, simple benzene exposure group and NMN intervention group, with 12 mice in each group. Benzene exposure of mice in simple benzene exposure group and NMN intervention group was conducted by dynamic inhalation of benzene at a concentration of 325 mg/m³ for six hours per day, five days per week for four weeks (28 days). Mice in the negative control and NMN control group inhaled clean air. During benzene exposure, mice in the NMN control group and NMN intervention group received NMN in drinking water at a dose of 300 mg/kg body weight. Peripheral blood samples of mice were collected for complete blood count analysis and calculation of composite inflammatory indices after 28 days. Results Interaction analysis showed that the counts of peripheral white blood cell, neutrophil, lymphocyte, and platelet of mice in the simple benzene exposure group were lower than those in the negative control group (all P<0.05). Neutrophil and platelet counts in the NMN intervention group were higher than those in the simple benzene exposure group (all P<0.05). The results of main effect analysis showed that the monocyte count of peripheral blood, systemic inflammatory index, systemic inflammatory response index, neutrophil/lymphocyte ratio and platelet/lymphocyte ratio of mice in the benzene exposure group increased (all P<0.05), and the basophil count and lymphocyte/monocyte ratio decreased (all P<0.05), compared with the control group. Conclusion Oral NMN alleviates subacute benzene-induced decreases in peripheral neutrophil and platelet counts in mice. This protective effect may be related to the targeted intervention of NMN on mitochondrial energy metabolism disorder and oxidative damage induced by benzene exposure in male mice.

Cholangiocarcinoma originates from bile duct epithelial cells. It has an insidious onset, a high degree of malignancy, a poor prognosis and a high recurrence rate. Exosomes are nanoscale vesicles with a bilayer membrane structure, containing abundant biomolecules such as DNA, RNA, proteins and lipids. Exosomes are important carriers for the exchange of substances and information between cells and are involved in a variety of pathophysiological processes. In addition, exosomes have great potential in the diagnosis and treatment of various diseases. This article reviews the role of exosomes in the occurrence and development of cholangiocarcinoma and their potential value in the diagnosis and treatment of cholangiocarcinoma.

Objective:To explore the effectiveness of digital health management in the management of community patients with essential hypertension comorbid with somatization symptom disorder.Methods:This was an intervention-controlled study. Patients with essential hypertension comorbid with somatization symptom disorder who visited the outpatient clinic of Jiangwan Town Community Health Service Center in Hongkou District, Shanghai from January to December 2022 were enrolled. Based on the time of initial diagnosis, patients were divided into a digital health management group (initial diagnosis from January to June 2022) and a control group (initial diagnosis from July to December 2022). Baseline clinical data were collected. The control group received conventional interventions, while the digital health management group utilized the Health Cloud APP 5.3.11 platform for online digital health management without altering the original medication regimen. The intervention lasted for 24 weeks. Before and after the intervention, the Somatization Symptom Scale (SSS), 9-item Patient Health Questionnaire (PHQ-9), and 7-item Generalized Anxiety Disorder Scale (GAD-7) were used to assess somatization symptoms, depression, and anxiety, respectively. The reduction rate in SSS scores was calculated, and blood pressure and heart rate were measured. The evaluation criteria for somatization symptom intervention effectiveness were as follows: at the endpoint of the intervention, SSS ≤29 or a reduction rate of SSS ≥ 75% was considered "cured"; a reduction rate of 50% to <75% was considered "markedly effective"; a reduction rate of 25% to <50% was considered "effective"; and a reduction rate of <25% was considered "ineffective".The overall effectiveness rate=(number of cured patients + number of markedly effective patients + number of effective patients)/total number of patients × 100%.Results:A total of 62 patients in the digital health management group and 65 patients in the control group were included in the final analysis. The mean age of the digital health management group was (50.5±3.5) years, with 30 males (48.4%), while the mean age of the control group was (50.2±3.2) years, with 31 males (47.7%). There were no statistically significant differences in the age or gender distribution between the two groups (both P>0.05). Before the intervention, there were no significant differences between the two groups in SSS sub-item scores, total SSS scores, PHQ-9 scores, GAD-7 scores, blood pressure, or heart rate (all P>0.05). After 24 weeks of intervention, all scores decreased in both groups, and did blood pressure and heart rate (all P<0.05). The differences in SSS sub-item scores, total SSS scores, PHQ-9 scores, GAD-7 scores, blood pressure, and heart rate before and after the intervention were greater in the digital health management group than in the control group (all P<0.05). The proportion of patients with effective intervention for somatization symptom was higher in the digital health management group than in the control group (57 cases (91.9%) vs. 38 cases (58.5%), P<0.001). Conclusion:Digital health management can improve somatization symptom disorder, blood pressure, and heart rate in patients with hypertension.

Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis* ; Electronic Nose ; Gas Chromatography-Mass Spectrometry/methods* ; Animals ; Volatile Organic Compounds/analysis* ; Deer ; Drugs, Chinese Herbal/chemistry*

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans