BACKGROUND:High-frequency repetitive transcranial magnetic stimulation has garnered significant attention due to its potential non-invasive benefits in modulating brain function.However,no studies have comprehensively analyzed the current research landscape and development trends of this field from a macroscopic perspective.OBJECTIVE:To explore research hotspots,current trends,and emerging frontiers in the field of high-frequency repetitive transcranial magnetic stimulation through visualized analysis.METHODS:Data were collected from the Web of Science Core Collection database from January 1,2014 to November 15,2024.CiteSpace was used for analyzing publication volume,collaborations among countries/regions,institutions and authors,citation analysis of journals and co-cited literature,as well as disciplinary distribution.Additionally,keyword co-occurrence,clustering,and burst analyses were conducted,and visualized knowledge maps were generated.RESULTS AND CONCLUSION:A total of 860 articles were included.The publication volume of high-frequency repetitive transcranial magnetic stimulation showed an overall upward trend from 2014 to 2022,followed by a decline from 2022 to 2024.China had the highest publication volume,while Ghent University ranked as the most productive institution.Universities acted as the most high-output institutions.Chris Baeken from Ghent University was identified as the most prolific author.Collaboration among leading authors and institutions worldwide remained limited.The main research hotspots in this field were associated with keywords such as depression,stroke,neuropathic pain,and Parkinson's disease.Burst keywords focused on mild cognitive impairment,reflecting a diversification in research directions.The overall research activity in high-frequency repetitive transcranial magnetic stimulation continues to rise,with primary focuses on its clinical applications for psychiatric and neurological disorders,as well as explorations of its underlying mechanisms.Future research may focus on optimizing treatment parameters for targeting different brain regions in clinical applications and expanding its applications and mechanisms across various domains.

Objective To investigate the current distribution and predict the future suitable habitats of Haemaphysalis longicornis in Nanjing City, so as to provide insights into control and early warning of ticks and management of tick-borne diseases in Nanjing City. Methods The electronic map of Nanjing City was obtained from the National Platform for Common GeoSpatial Information Services. The distribution of H. longicornis and the longitude and latitude of distribution points from 2022 to 2024 were obtained from centers for disease control and prevention across each district in Nanjing City. Climatic and environmental variable data in Nanjing City were captured from the Worldclim database. Initially, 19 bioclimatic variables in this database were selected, including annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the warmest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, precipitation of the warmest quarter, and precipitation of the coldest quarter. The elevation and normalized difference vegetation index were obtained from Data Sharing Platform of the Center for Resources and Environmental Sciences, Chinese Academy of Sciences. Then, the distribution points of H. longicornis, elevation, vegetation index and 19 bioclimatic variables were loaded into the software MaxEnt 3.4.4 to evaluate and screen out the variables with a contribution rate of 1% and higher. ArcGIS 10.8.1 software was used to extract the elevation, vegetation index and 19 bioclimatic variables of the distribution points of H. longicornis for a correlation analysis. If the absolute value of the correlation coefficient was 0.8 and higher, the variable with the higher contribution was retained. The 2050 dataset of the BCCCSM2-MR atmospheric circulation model in the coupled model intercomparison project phase 6 (CMIP6) were obtained from the Worldclim database as climate data for 2050. Screened H. longicornis species data and environmental and climate data were loaded into the maximum entropy (MaxEnt) model with the software MaxEnt 3.4.4 for training and validation, and then, all data generated from the model were imported into the software ArcGIS 10.8.1 to generate raster data and yield the map pertaining to the distribution of H. longicornis risk in Nanjing City. The accuracy of the model was evaluated with a receiver operating characteristic (ROC) curve, and the predictive effect of the model was assessed with area under the ROC curve (AUC). The suitable habitats of H. longicornis were classified in Nanjing City with the software ArcGIS 10.8.1, and the areas of distribution of suitable habitats in various categories were recorded to create the map of current H. longicornis suitable habitats classification in Nanjing City. The climatic and geographic information data in 2050 were employed as future environmental and climatic factors, and current environmental and climatic factors and current H. longicornis distribution data were additionally used to predict the future suitable habitats of H. longicornis in Nanjing City. In addition, the contributions of environmental and climatic factors to distribution of suitable habitats of H. longicornis was evaluated with the Jackknife method in Nanjing City. Results A total of 10 environmental and climatic variables were screened for analysis of the suitability of H. longicornis in Nanjing City based on correlation analyses and contributions of the MaxEnt model, including annual mean temperature, precipitation of the warmest quarter, vegetation index, precipitation of the wettest month, temperature annual range, annual precipitation, mean temperature of the warmest quarter, elevation, mean temperature of the wettest quarter, and maximum temperature of the warmest month, and annual mean temperature (34.8%), precipitation of the warmest quarter (17.3%), vegetation index (13.1%), and precipitation of the wettest month (10.8%) contributed relatively highly to the distribution of suitable habitats of H. longicornis in Nanjing City. The mean AUC of the ROC curve was 0.810 ± 0.055 for 10 repeated modeling results of the MaxEnt model, indicating high predictive performance of the model. The potential distribution areas of H. longicornis were predicted to be mainly located in Luhe District, Pukou District, Jiangning District, Lishui District, and Gaochun District in Nanjing City with the MaxEnt model. Under current climatic conditions, the area of potential suitable habitats of H. longicornis was 4 182.42 km² in Nanjing City, including 1 252.94 km² highly suitable habitats, which accounted for 19.00% of the total area of Nanjing City. Under the climate scenario in 2050, the area of potential suitable habitats of H. longicornis was projected to increase to 5 467.58 km² in Nanjing City, accounting for 82.95% of the total area of the city, and these habitats were mainly concentrated in Luhe District, Pukou District, Jiangning District, Lishui District, and Gaochun District. The areas of suitable habitats of H. longicornis at various categories were predicted to vary greatly in 2050, and the area of highly suitable habitats of H. longicornis was projected to increase to 2 378.82 km², accounting for 36.08% of the total area of Nanjing City. Based on jackknife tests and contributions of environmental and climatic variables, 6 dominant environmental and climatic factors were screened, including annual mean temperature (34.8% contribution), precipitation of the warmest quarter (17.3% contribution), vegetation index (13.1% contribution), precipitation of the wettest month (10.8% contribution), temperature annual range (5.4% contribution), and mean temperature of the warmest quarter (5.0% contribution), with cumulative contributions of 86.4%. Conclusion The distribution of H. longicornis is strongly associated with vegetation, temperature and precipitation in Nanjing City. Future climate change may lead to an expansion of the distribution area of H. longicornis in Nanjing City.

BACKGROUND:High-frequency repetitive transcranial magnetic stimulation has garnered significant attention due to its potential non-invasive benefits in modulating brain function.However,no studies have comprehensively analyzed the current research landscape and development trends of this field from a macroscopic perspective.OBJECTIVE:To explore research hotspots,current trends,and emerging frontiers in the field of high-frequency repetitive transcranial magnetic stimulation through visualized analysis.METHODS:Data were collected from the Web of Science Core Collection database from January 1,2014 to November 15,2024.CiteSpace was used for analyzing publication volume,collaborations among countries/regions,institutions and authors,citation analysis of journals and co-cited literature,as well as disciplinary distribution.Additionally,keyword co-occurrence,clustering,and burst analyses were conducted,and visualized knowledge maps were generated.RESULTS AND CONCLUSION:A total of 860 articles were included.The publication volume of high-frequency repetitive transcranial magnetic stimulation showed an overall upward trend from 2014 to 2022,followed by a decline from 2022 to 2024.China had the highest publication volume,while Ghent University ranked as the most productive institution.Universities acted as the most high-output institutions.Chris Baeken from Ghent University was identified as the most prolific author.Collaboration among leading authors and institutions worldwide remained limited.The main research hotspots in this field were associated with keywords such as depression,stroke,neuropathic pain,and Parkinson's disease.Burst keywords focused on mild cognitive impairment,reflecting a diversification in research directions.The overall research activity in high-frequency repetitive transcranial magnetic stimulation continues to rise,with primary focuses on its clinical applications for psychiatric and neurological disorders,as well as explorations of its underlying mechanisms.Future research may focus on optimizing treatment parameters for targeting different brain regions in clinical applications and expanding its applications and mechanisms across various domains.

Objective: To investigate the environmental contamination of norovirus in nurseries and primary/secondary schools, so as to provide a scientific basis for effective prevention and control measures. Methods: A total of 483 external environmental samples were collected from 34 cluster outbreaks of norovirus gastroenteritis in kindergartens and primary/secondary schools in Linhai City from 2021 to 2024. Pathogen detection was conducted using a rapid nucleic acid extraction kit and realtime fluorescence RT-PCR, and the results were analyzed using the χ2 test or Fishers exact test. Results: Among the collected external environmental samples, the total positive rate of surface contamination was 13.66%. The positive rates in kindergartens and primary/secondary schools were 12.20% and 15.82%, respectively. In kindergartens, the five surfaces with the highest detection rates were desks/chairs (23.33%), toilet stool troughs (20.69%), urinal troughs (12.00%), washbasins/sinks (11.11%), and toilet mops (9.38%). In primary/secondary schools, the top five were toilet stool troughs (38.30%), urinal troughs (23.53%), toilet door handles (13.04%), toilet mops (12.50%), and drinking cups (11.11%). The difference in positive detection rates among different external environments in primary/secondary schools was statistically significant (Fishers exact probability test, P<0.01). The positive detection rate in sanitary toilets was higher than that in classroom environments (χ2=17.38), while the positive detection rate in classroom environments of kindergartens was higher than that in primary/secondary schools (χ2=5.42)(P<0.05). Conclusions Norovirus exhibits a high contamination rate in nurseries and schools, particularly in restroom areas. Strengthening sanitation and disinfection in highrisk environments, and improving hygiene awareness among children and staff, are essential for the effective prevent and control of norovirus.

Objective:To investigate the current application of blood purification in the treatment of acute poisoning within Jiangsu Province and to evaluate the impact of extracorporeal blood purification on the clinical outcomes of critically poisoned patients.Methods:This multicenter, cross-sectional real-world observational study followed patients presenting with poisoning to the emergency departments of nine hospitals in Jiangsu Province between June 2015 and May 2019. Data were collected on demographic characteristics, vital signs within the first hour of emergency presentation, treatment modalities, length of hospital stay, and survival outcomes. Clinical data from patients who underwent extracorporeal blood purification were compared with those who did not, using the Wilcoxon rank-sum test and Chi-square test.Results:A total of 4 178 poisoning cases were included between June 2015 and May 2019. Among them, 21.7% (908/4 178) received blood purification therapy, while 78.3% (3 270/4 178) did not. Hemoperfusion (90.4%) was the most frequently employed method, followed by continuous renal replacement therapy (CRRT) (4.4%). In combined blood purification modalities, 4.8% underwent hemoperfusion combined with CRRT, 0.1% received hemoperfusion with plasma exchange, and another 0.1% underwent hemoperfusion combined with both CRRT and plasma exchange. Among patients who underwent blood purification, pesticide poisoning was the most prevalent (76.3%), with the most common toxic agents being paraquat (23.7%), dichlorvos (8.7%), methamidophos (5.2%), omethoate (4.0%), and glyphosate (3.7%). Compared to the non-blood purification group, patients in the blood purification group were more likely to present within the first hour with a low Glasgow Coma Scale (GCS) score (3-8) (22.6% vs. 9.7%, P <0.05), low mean arterial pressure (8.0% vs. 3.2%, P <0.05), longer hospital stays [5(3,9) days vs. 2(1,4) days, P <0.05] and a higher in-hospital mortality rate (21.1% vs. 5.3%, P <0.05). Follow-up via telephone 28 days after discharge revealed a survival rate of 78.9%, with a mortality rate of 21.1% in the blood purification group. Conclusions:Hemoperfusion is the most commonly utilized blood purification technique for treating poisoning in Jiangsu Province, with pesticides being the primary toxic agents treated. Although the mortality rate is higher in the blood purification group, the intervention may still contribute to improved patient outcomes.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective To investigate the effects of aerobic exercise and different exercise habits on skeletal muscle function and the possible molecular mechanisms in colorectal cancer-loaded mice.Methods Thirty-five 5-week-old BABL/c male mice were acclimatized to feeding for 1 week and then divided randomly into the following groups:control(D),tumor(M),exercise preconditioning(QAM),lifetime exercise(AM),and exercise(HAM)groups(n=7 mice per group).Mice in the QAM and AM groups underwent aerobic exercise regimen 1 from weeks 2～6.At week 7,mice in the experimental groups received 0.2 mL of CT26 colon cancer cell suspension subcutaneously in the dorsal aspect of the left hind limb,while control mice received 0.2 mL of saline at the corresponding site.Mice in the AM and HAM groups were subjected to aerobic exercise regimen 2 for weeks 7～9.The general status and skeletal muscle mass and function were monitored in all mice throughout the experiments.After completion of the experiment,samples were collected and the cross-sectional area of gastrocnemius muscle fibers(CSA)was measured by hematoxylin and eosin staining and expression levels of proteins related to synthesis and catabolism of the gastrocnemius muscle were analyzed by Western Blot.Results(1)The weight ratio of the gastrocnemius muscle was significantly lower in mice in the M,QAM,and HAM groups compared with group D,and was significantly higher in AM mice compared with M,QAM,and HAM mice.(2)Grip strength,endurance,skeletal muscle circumference,and CSA were significantly lower in group D mice compared with the other groups,and was most enhanced in group HAM.Endurance and CSA were consistently enhanced in groups QAM,AM,and HAM.(3)Muscle RING-finger protein-1(MuRF1)expression levels were significantly lower in groups M,QAM,AM,and HAM than in group D,significantly lower in groups AM and HAM than in group M,and significantly lower in group HAM than in group QAM.(4)Fibronectin type Ⅲ domain-containing protein 5(FNDC5)expression levels were significantly lower in group M than in groups D and QAM.(5)Peroxisome proliferator-activated receptor gamma coactivator 1-alpha expression levels were significantly lower in the QAM and HAM groups compared with group M.(6)Expression levels of phospho(p)-AMP-activated protein kinase(AMPK)/AMPK and p-AMPK were significantly higher in group QAM than in groups D and M,p-AMPK expression significantly lower in groups AM and HAM was than in group QAM,and AMPK expression was significantly lower in groups QAM,AM,and HAM than in group D.Conclusions Exercise preconditioning and continuous aerobic exercise can improve skeletal muscle mass and function in CT26 colon cancer-loaded mice by activating AMPK phosphorylation to stimulate skeletal muscle secretion of FNDC5,thereby regulating the expression of MuRF1 protein.

Objective:To investigate the analgesic effect of Opisthoplatia orientalis Burm. polypeptides (OOBP) on postherpetic neuralgia (PHN) induced by resiniferatoxin (RTX) in rat models, and its effect on the phosphatase and tensin homologue deleted on chromosome ten (PTEN) -induced kinase 1/Parkin (PINK1/Parkin) signaling pathway. Methods:Thirty-two special pathogen-free rats were randomly divided into 2 groups: a blank control group ( n = 8) receiving intraperitoneal injections of physiological saline (0.20 mg/kg) , and a model group ( n = 24) receiving intraperitoneal injections of RTX (0.20 mg/kg) to establish the PHN rat model. The rats' paw withdrawal mechanical threshold (PWMT) was measured on days 1, 4, 7, and 10 after RTX injections. After 10 days of RTX treatment, rat models were randomly assigned to 3 subgroups: PHN group, OOBP group, and gabapentin group, with 8 rats in each group. The OOBP group and gabapentin group were gavaged with OOBP (equivalent to 0.9 g raw drug per kg) and gabapentin (27 mg/kg) respectively, while the PHN group and control group were gavaged with physiological saline. All treatments lasted for 3 weeks, during which PWMT was continuously monitored. One hour after the final dose, rats were sacrificed, and spinal cord tissues and serum samples were collected. Hematoxylin-eosin (HE) staining was performed to observe spinal pathological changes, enzyme-linked immunosorbent assay (ELISA) to detect serum levels of interleukin-10 (IL-10) , tumor necrosis factor-α (TNF-α) , β-endorphin (β-EP) , and calcitonin gene-related peptide (CGRP) , and Western blot analysis to determine the expression of PINK1, Parkin, and ubiquitin-binding protein P62 in rat spinal cord tissues. The entropy weight method was applied to comprehensively evaluate the effect of OOBP on the above cytokines, proteins and other pharmacodynamic indicators in rat models of PHN. Results:From day 1 to day 10 after modeling, PWMT values in the model group were significantly lower than those in the blank control group (all P < 0.05) , and also significantly lower than baseline values prior to modeling (all P < 0.05) . Histopathological analysis of rat spinal cord tissues showed less pathological changes (such as Nissl body swelling and neuronal necrosis) but more normal Nissl bodies in both the gabapentin group and OOBP group compared with the PHN group. ELISA revealed significantly decreased serum levels of TNF-α and CGRP but significantly increased serum levels of β-EP and IL-10 in the OOBP group compared with the PHN group (all P < 0.05) . Western blot analysis showed that expression levels of PINK1 and Parkin were significantly lower in the gabapentin group (0.441 ± 0.061, 0.597 ± 0.180, respectively) and the OOBP group (0.666 ± 0.117, 0.481 ± 0.073, respectively) than in the PHN group (1.033 ± 0.085, 1.088 ± 0.040, respectively, all P < 0.05) ; in contrast, the P62 expression significantly increased in the gabapentin group (0.810 ± 0.086) and OOBP group (0.902 ± 0.153) compared with the PHN group (0.543 ± 0.082, both P < 0.05) . The entropy weight analysis showed that the comprehensive scores were 0.222 and 0.229 in the OOBP group and the gabapentin group respectively, suggesting a greater overall therapeutic effect of OOBP. Conclusion:OOBP may exert analgesic effects in rat models of PHN by downregulating the expression of inflammatory factors and pain-related factors and modulating the PINK1/Parkin signaling pathway, thereby inhibiting mitochondrial autophagy in spinal neurons and reducing inflammatory responses.

Objective To investigate the association of liver radiodensity with the degree and progression of liver fibrosis in patients with chronic hepatitis B(CHB).Methods A retrospective cohort study was conducted among 114 CHB patients who were hospitalized in The First Hospital of Lanzhou University from January to December 2019,and related clinical data were collected,including laboratory tests and abdominal CT.The metabolic characteristics of the patients were assessed,and liver radiodensity was measured.An analysis of variance was used for comparison of normally distributed continuous data between three groups,and the Kruskal-Wallis H rank sum test was used for comparison of continuous data with skewed distribution between three groups;the chi-square test or the Fisher's exact test was used for comparison of categorical data between three groups.A logistic regression analysis was used to investigate the influencing factors for the degree of liver fibrosis,and the Cox proportional-hazards regression model analysis was used to investigate the influencing factors for the progression of liver fibrosis in CHB.Results Among the 114 patients enrolled,43(37.72％)had no liver cirrhosis,30(26.32％)were suspected of liver cirrhosis,and 41(35.96％)had liver cirrhosis,with a median follow-up time of 538.5(322.75-1 031.50)days.Liver radiodensity on plain scan(odds ratio[OR]=0.81,95％confidence interval[CI]:0.68-0.97,P=0.025),liver radiodensity on contrast-enhanced scan(OR=0.95,95％CI:0.90-0.99,P=0.037),and liver volume(OR=0.99,95％CI:0.98-0.99,P<0.001)were independent influencing factors for the degree of liver fibrosis.The univariate Cox regression analysis showed that the low level of HDL(hazard ratio=2.81,95％CI:1.04-7.54,P=0.041)was associated with the progression of liver fibrosis in CHB patients,and the degree of liver fibrosis,liver volume,and liver radiodensity showed no significant association with the progression of liver fibrosis(all P>0.05).Conclusion In CHB patients,liver radiodensity is an independent influencing factor for the degree of liver fibrosis,and low HDL has a marked influence on the progression of liver fibrosis.

Lung cancer is the malignant tumor with the highest mortality rate worldwide. The tumor microenvironment (TME) is a key factor in the progression of lung cancer, composed of tumor cells, signaling molecules, fibroblasts, immune cells, etc. Among them, tumor associated neutrophil (TAN), as an important component of immune cells in the TME, plays multiple roles in tumor cell proliferation, invasion, angiogenesis, and metastasis due to its aberrant function, and is closely associated with poor prognosis. However, there are limited researches on the mechanism of TAN in lung cancer. This review aims to provide more scientific basis for studying the therapeutic targets of lung cancer and developing new drugs by elucidating the different subtypes of TAN and their mechanisms of action in the occurrence and development of lung cancer.
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Humans ; Neutrophils/pathology* ; Lung Neoplasms/pathology* ; Tumor Microenvironment ; Animals