Machado-Joseph disease, or spinocerebellar ataxia type 3 (SCA3), represents the most common autosomal dominant cerebellar ataxia worldwide. Despite its progressive and debilitating nature, disease-modifying therapies remain elusive. Repetitive transcranial magnetic stimulation (rTMS) has emerged as a promising non-invasive intervention; however, its clinical application has been hindered by inconsistent protocols and a lack of mechanistic understanding. A recent landmark study published in Brain Stimulation by Chen et al. addressed these challenges by combining a high-dose intermittent theta-burst stimulation (iTBS) protocol with concurrent transcranial magnetic stimulation-electroencephalography (TMS-EEG). This commentary provides an in-depth analysis of their findings, highlighting the restoration of cerebello-cortical inhibition (CBI) as a key therapeutic mechanism. Furthermore, we discuss the broader implications of this work, proposing that future translational research should integrate accelerated iTBS (aiTBS) paradigms, cortical response measurements (CRM), and individualized neuro-navigation to establish a new era of precision neuromodulation for ataxia.

Machado-Joseph disease, or spinocerebellar ataxia type 3 (SCA3), represents the most common autosomal dominant cerebellar ataxia worldwide. Despite its progressive and debilitating nature, disease-modifying therapies remain elusive. Repetitive transcranial magnetic stimulation (rTMS) has emerged as a promising non-invasive intervention; however, its clinical application has been hindered by inconsistent protocols and a lack of mechanistic understanding. A recent landmark study published in Brain Stimulation by Chen et al. addressed these challenges by combining a high-dose intermittent theta-burst stimulation (iTBS) protocol with concurrent transcranial magnetic stimulation-electroencephalography (TMS-EEG). This commentary provides an in-depth analysis of their findings, highlighting the restoration of cerebello-cortical inhibition (CBI) as a key therapeutic mechanism. Furthermore, we discuss the broader implications of this work, proposing that future translational research should integrate accelerated iTBS (aiTBS) paradigms, cortical response measurements (CRM), and individualized neuro-navigation to establish a new era of precision neuromodulation for ataxia.

Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.

Objective: To explore the characteristics of the diversity and composition of oral microbial flora with age, and to provide a reference for understanding the succession of oral microecology at different ages. Methods: Oral rinse 16S rRNA (V4 region) sequencing data from 9 021 participants 14-69 years of age in the 2009-2012 National Health and Nutrition Examination Survey (NHANES) were analyzed. Alpha diversity (Observed OTUs, Faith’s PD, Shannon Index), beta diversity (Bray-Curtis and UniFrac), and genus-level composition were examined using weighted generalized linear models (GLMs), including quadratic terms for age and adjusting for key covariates (gender, race/ethnicity, BMI, smoking status, and periodontitis severity). Results: Alpha diversity demonstrated a clear inverted U-shaped trajectory across age, peaking at 25-30 years old and declining thereafter. This trend remained consistent across sex, race, smoking, and periodontal health strata. Beta diversity analyses revealed a modest but steady age-related shift in community structure. Genus-level analyses revealed that Rothia, Prevotella_6, and Lactobacillus increased steadily with age, while Haemophilus, Porphyromonas, and Corynebacterium declined significantly. Notably, potential periodontopathogens, such as Fusobacterium and Treponema_2, peaked in early adulthood before declining with age. Conclusion Age is an important driver of oral microbial succession, and the oral microbiome exhibits dynamic changes across different life stages. Future longitudinal and multi-omic studies are warranted to elucidate the mechanisms underlying these age-related trajectories.

Objective:To construct an assessment model on the basis of dynamic programming algorithm for medical device,so as to improve the management level for medical devices.Methods:A assessment model for medical device was constructed on the basis of the presupposition,basic ideas,solution steps and algorithm elements of dynamic programming algorithm,and the management of medical devices was transferred and carried out according to the state of the model at the multi-stage when decided problem.A total of 200 used medical devices in clinical application in Zhongshan City People's Hospital from January 2022 to December 2023 were selected.The conventional management method was adopted to manage these medical devices from January to December 2022,and the assessment model(dynamic programming algorithm)on the basis of dynamic programming algorithm for these medical devices was adopted to manage them from January to December 2023.The management level for medical devices,the score for management indicators,the incidences of low risk,medium risk and high risk of adverse event were compared before and after the dynamic programming algorithm was applied,and the difference of the scores of assessing comprehensive business ability of management team was also compared.Results:The standard placement rate,standard recording rate and availability rate of equipment were respectively 85.5%,84.0%and 84.5%after the dynamic programming algorithm was applied,which were higher than those before it was applied,and the failure rate of equipment was 2.5%,which was lower than that before it was applied,and the differences were statistically significant(x2=13.888,12.516,14.240,14.414,P＜0.05).The scores of resource allocation,information basis,technical support and guarantee for operation environment of devices were respectively(92.54±4.69),(93.65±3.65),(94.58±3.65)and(92.47±3.65)after the dynamic programming algorithm was applied,which were higher than these before it was applied,and the differences were statistically significant(t=14.574,18.419,11.438,12.981,P＜0.05).The ratios of the adverse events with low risk,medium risk and high risk were respectively 6%,5%and 2%,which were lower than these before it was applied,and the differences were statistically significant(x2=12.754,12.876,11.348,P＜0.05).The scores of comprehensive business ability of the technical support team,research team,promotion team and auxiliary management team for medical device were respectively(94.56±4.69),(92.65±3.14),(94.69±4.98)and(95.68±4.14)after the dynamic planning algorithm was applied,which were higher than these before it was applied,and the difference was statistically significant(t=12.170,18.682,12.449,18.269,P＜0.05).Conclusion:The application of the assessment model on the basis of dynamic programming algorithm for medical devices in management for medical device can improve the management level for device,and reduce the incidence of adverse events,and enhance the comprehensive business ability of management team for device.

Objective:To construct an assessment model on the basis of dynamic programming algorithm for medical device,so as to improve the management level for medical devices.Methods:A assessment model for medical device was constructed on the basis of the presupposition,basic ideas,solution steps and algorithm elements of dynamic programming algorithm,and the management of medical devices was transferred and carried out according to the state of the model at the multi-stage when decided problem.A total of 200 used medical devices in clinical application in Zhongshan City People's Hospital from January 2022 to December 2023 were selected.The conventional management method was adopted to manage these medical devices from January to December 2022,and the assessment model(dynamic programming algorithm)on the basis of dynamic programming algorithm for these medical devices was adopted to manage them from January to December 2023.The management level for medical devices,the score for management indicators,the incidences of low risk,medium risk and high risk of adverse event were compared before and after the dynamic programming algorithm was applied,and the difference of the scores of assessing comprehensive business ability of management team was also compared.Results:The standard placement rate,standard recording rate and availability rate of equipment were respectively 85.5%,84.0%and 84.5%after the dynamic programming algorithm was applied,which were higher than those before it was applied,and the failure rate of equipment was 2.5%,which was lower than that before it was applied,and the differences were statistically significant(x2=13.888,12.516,14.240,14.414,P＜0.05).The scores of resource allocation,information basis,technical support and guarantee for operation environment of devices were respectively(92.54±4.69),(93.65±3.65),(94.58±3.65)and(92.47±3.65)after the dynamic programming algorithm was applied,which were higher than these before it was applied,and the differences were statistically significant(t=14.574,18.419,11.438,12.981,P＜0.05).The ratios of the adverse events with low risk,medium risk and high risk were respectively 6%,5%and 2%,which were lower than these before it was applied,and the differences were statistically significant(x2=12.754,12.876,11.348,P＜0.05).The scores of comprehensive business ability of the technical support team,research team,promotion team and auxiliary management team for medical device were respectively(94.56±4.69),(92.65±3.14),(94.69±4.98)and(95.68±4.14)after the dynamic planning algorithm was applied,which were higher than these before it was applied,and the difference was statistically significant(t=12.170,18.682,12.449,18.269,P＜0.05).Conclusion:The application of the assessment model on the basis of dynamic programming algorithm for medical devices in management for medical device can improve the management level for device,and reduce the incidence of adverse events,and enhance the comprehensive business ability of management team for device.

The epidemiological and spatiotemporal clustering characteristics of dengue fever in Fujian Province were ana-lyzed,to provide a scientific basis for dengue fever prevention and control.Descriptive epidemiology,spatial autocorrelation a-nalysis,and spatiotemporal scanning were used to analyze dengue fever cases in Fujian Province from 2011 to 2023.In this peri-od,a total of 3 586 cases of dengue fever were reported in Fujian Province,including 2 360 local cases,1 134 imported cases from abroad,and 92 imported cases from China.Cases were reported in ten prefectures and cities of the province,and 81 out of 88 counties reported cases.Imported cases were reported throughout the year in Fujian Province,but the occurrence of local ca-ses showed clear seasonality.Local cases and domestic imports were concentrated in August to October,whereas overseas im-ports occurred primarily from June to October.The imported cases were mainly from Southeast Asian countries,but a trend of spreading from Southeast Asian countries to South Asia,Africa,the Americas,and other regions,was observed.Spatio-tem-poral clustering of dengue fever was found in Fujian Province(Moran's I value 0.14-0.66,P＜0.05),and the high-high ag-gregation areas were distributed primarily in Fuzhou,Quanzhou,and Putian.Spatio-temporal scanning detected three aggrega-tion areas:one main and two secondary.The aggregation time was from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.The distribution of dengue fever in Fujian Province showed clear spatial and temporal clustering from the end of July to October,and the distribution was primarily in Fuzhou,Quanzhou,Putian,Zhangzhou,and Xiamen.For high concentration areas,national health campaigns,mosquito prevention and control,epidemic surveillance,medical personnel training,and other relevant measures could be carried out in advance before local cases appear every year.Reduce local transmission of dengue fever due to importation.

Objective To initially explore the possibility of applying the fluorescence micro-optical sectioning tomography(fMOST)high-resolution 3D reconstruction system to the morphological study of the intestinal nervous system and to preliminarily establish a method for studying the morphology of the intestinal nervous system using this system.Methods fMOST high-resolution 3D reconstruction system was used to study the intestinal nervous system of C57BL/6 mice in detail.Based on this method,a new morphological method of the visceral nervous system of small animal models was explored at the single-cell level.Results Compared with the large intestine,the small intestine lacked the typical myenteric plexus(Auerbach),deep mucosal plexus(Henley),and submucosal superficial plexus(Meissner).Conclusion The result of this paper provide a clearer and systematic display of the anatomical structure of the enteric nervous system in C57BL/6 mice,and further clarify the similarities and differences between the enteric nervous system of mice and human,and provide a theoretical basis for its rational application in the study of digestive system diseases.The morphological study of fMOST high-resolution 3D reconstruction system is not limited to the central nervous system,but can be extended to the morphological study of multiple visceral nervous systems.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.