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.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.

Objective:To analyze the epidemic trend of influenza-like illness（ILI）cases，etiological detection results，and the evolution of the hemagglutinin（HA）gene of the predominant strains in Hanzhong City，Shaanxi Province during the 2018-2024 influenza seasons.Methods:ILI sentinel surveillance data and network laboratory test results during the 2018-2024 influenza seasons in Hanzhong City，Shaanxi Province were collected for descriptive analysis. The HA gene sequences of 25 predominant strains were obtained through whole-genome deep sequencing method，and then compared with the vaccine strains recommended by the World Health Organization in the same period to analyze the evolution of the virus.Results:A total of 37 770 cases of ILI were reported in Hanzhong City during the 2018-2024 influenza seasons，and the proportion of total ILI cases（ILI%）was 2.87%（37 770/1 316 009）. The epidemic trend of ILI showed an obvious epidemic peak in winter and spring（from December of the current year to March of the following year）. The specimens with the highest positive rate were of type A（H3N2）（39.12%，365/933），and the predominant epidemic strains in each influenza season alternated among A（H1N1）pdm09（in the 2018-2019 and 2022-2023 influenza seasons），A（H3N2）（in the 2019-2020 and 2023-2024 influenza seasons）and B（Victoria）（in the 2021-2022 influenza season）. The phylogenetic relationship gradually became more distant over time across different influenza seasons. Among them，the epidemic strains of A（H1N1）pdm09 belonged to the 6B.1 clade，and the evolution mainly occurred in the Sa and Sb regions of the HA epitope. Meanwhile，the epidemic strains of A（H3N2）belonged to the 3C clade，and the evolution mainly took place in the A，B and C regions of the HA epitope. The strains of the B（Victoria）lineage belonged to the V1a.3a.2 clade，and the evolution mainly occurred in the 120-loop，150-loop，and 190-helix regions of the HA epitope.Conclusions:The influenza epidemic in Hanzhong City has obvious seasonality，and the amino acids of the epidemic strains have shown a certain degree of variation over the years. In future prevention and control work，influenza surveillance should be continuously strengthened，and the change trend of the predominant circulating strains should be closely monitored.

The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.

Objective:To investigate and summarize the imaging and pathological features of non-acute occlusion following flow diverter (FD) implantation in animal models.Methods:Four experimental pigs (experimental group) that experienced non-acute occlusion (occlusion time exceeding 24 hours) within the FD stent implanted in the common carotid artery, and 19 pigs (control group) that did not experience stent occlusion during the same period were involved. Using an interventional approach under digital subtraction angiography (DSA), the 4 occluded FD lumens were mechanically opened. Optical coherence tomography (OCT), intravascular ultrasound (IVUS) and histopathological examinations were performed to evaluate the intraluminal composition and characteristics of the occlusive tissues. These findings were compared with non-occluded FD stents to summarize the imaging and pathological changes within the occluded FD lumen.Results:The occlusion times of the FD stents in the 4 experimental pigs were 16 weeks, 20 weeks, 20 weeks, and 24 weeks postoperatively. All occluded stents were successfully recanalized under DSA, with a technical success rate of 4/4. Among the 19 non-occluded FD stents, OCT and IVUS revealed uniform (16 stents) or non-uniform (3 stents) neointimal coverage of the stent struts, presenting as homogeneous high/slightly high signal intensity or medium echogenicity. Histopathological examination indicated that the neointima was primarily composed of smooth muscle cells and a small amount of fibrous connective tissues. In contrast, the 4 occluded FD stents demonstrated excessive neointimal proliferation and plaque formation, leading to luminal loss, as shown by OCT and IVUS. The occlusion tissues predominantly presented as homogeneous high signal intensity with weak attenuation (fibrous plaques) on OCT, with some regions showing blurred low signal intensity and strong attenuation (lipid plaques). IVUS presented homogeneous echogenicity (fibrous plaques) and hypoechogenic zones (lipid plaques). Histopathological examination showed that the occlusion tissues mainly consisted of smooth muscle cells, fibrous connective tissues, and lipids, accompanied by numerous foam cells and a minor presence of inflammatory cells.Conclusions:Histopathological examinations confirm that non-acute occlusion of FD is mainly caused by excessive hyperplasia of intima along with the formation of fibrous plaques and lipid plaques. OCT and IVUS have typical finding in imaging that can assist in determining the cause of stent occlusion as well as the lesion's nature, thereby providing crucial guidance for subsequent clinical treatment and drug selection.

Objective:To study the effects and mechanisms of juglone on the proliferation and apoptosis of acute myeloid leukemia(AML)cells.Methods:Juglone and AML targets were collected from public databases,and the intersecting target clusters were taken for functional enrichment analysis to explore the potential mechanism of juglone in the treatment of AML.Then wet experiments were performed to verify.AML cell lines including KG-1a,MV-411,THP-1 and MOLM-13 were treated with different concentrations of juglone for 24 h.MTT assay was used to detect cell viability and determine the IC50,and the most sensitive cell line was screened for subsequent experiments.Flow cytometry was used to detect the apoptosis of cells treated with different concentrations of juglone.Western blot was performed to check the expression of relevant proteins.Results:Eleven targets were obtained as potential targets for juglone in the treatment of AML,and the top ten significantly enriched pathways were intrinsic pathway of apoptosis,programmed cell death,cytochrome c-mediated apoptotic response,apoptosis,apoptotic factor-mediated response,regulated necrosis,cytokine signaling in immune system,signaling by interleukins,oncogene induced senescence,and signal transduction.The cell viability of KG-1a,MV-411,THP-1 and MOLM-13 was decreased with increasing juglone concentration after 24 h of juglone treatment(r=-0.992,-0.886,-0.956,-0.910).Among them,MOLM-13 was the most sensitive to juglone.The results of flow cytometry showed that the apoptosis rate of MOLM-13 tended to significantly increase with the increasing concentration of juglone(r=0.99).At the same time point,p-RIPK1/RIPK1,p-RIPK3/RIPK3,and p-MLKL/MLK were decreased in each juglone concentration group compared with control group.Conclusion:Juglone inhibits the viability of KG-1a,MV-411,THP-1 and MOLM-13 cells,and induces apoptosis of MOLM-13 cells,the mechanism of which may be related to the inhibition of RIPK1/RIPK3/MLKL signaling pathway.

Objective:To investigate the clinical efficacy of extended abdominal wall resec-tion combined with reconstruction for abdominal wall aggressive fibromatosis (AF).Methods:The retrospective and descriptive study was conducted. The clinical data of 70 patients with abdominal wall AF who were admitted to 3 medical centers, including The First Affiliated Hospital of the University of Science and Technology of China, between January 2009 and July 2024 were collected. There were 6 males and 64 females, aged (36±13)years. All patients underwent extended abdominal wall resection combined with abdominal wall reconstruction. Observation indicators: (1) surgical situations; (2) tumor recurrence and postoperative complications. Comparisons of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Results:(1)Surgical situations. All 70 patients underwent extended abdominal wall resection combined with abdominal wall recons-truction. The operation time was 90(91)minutes and duration of postoperative hospital stay was 10(6)days. Of the 70 patients, 41 patients underwent abdominal wall AF resection plus polypropylene mesh abdominal wall reconstruction, with a defect area of 60(54)cm2. The mesh placement method was uniformly Sublay repair. The remaining 29 patients underwent abdominal wall AF resection plus direct suture repair, with a defect area of 34(31)cm2. There was a significant difference in the abdominal wall defect area between the two groups ( U=291.00, P<0.05). All 70 patients achieved R 0 resection. The distance from surgical margin to tumor edge was 2-3 cm in 39 cases and >3 cm in 31 cases. (2) Tumor recurrence and postoperative complications. All 70 patients were followed up for 78(90)months. During follow-up, 10 patients developed tumor recurrence (5 cases with mesh reinforced abdominal wall reconstruction and 5 cases with direct suture repair). Among them, one case was monitored, one case underwent radiotherapy, and neither received further surgical treatment. The remaining 8 patients underwent repeat R 0 resection, and no further recurrence occurred. There was no significant difference in recurrence rate between the patients with mesh reconstruction and patients with direct suture repair ( χ2=0.06, P>0.05). The postoperative recurrence rate was 9.7%(3/31) in patients with the distance from surgical margin to tumor edge >3 cm, versus 17.9%(7/39) in patients with the distance from surgical margin to tumor edge of 2-3 cm, showing no significant difference between them ( χ2=0.97, P>0.05). Sixty patients had no tumor recurrence. During follow-up, none of the 70 patients developed incisional hernia. Two patients experienced postoperative wound infection, and 6 cases developed postoperative chronic pain. Conclusion:Extended abdominal wall resection combined with reconstruction is safe and feasible for abdominal wall AF.

Objective:This study aims to systematically review the current evaluation paradigms of conversational AI in healthcare and provide insights to facilitate the development of a comprehensive evaluation framework and methodological advancements in this field.Methods:A systematic review was conducted by searching the PubMed and Web of Science databases to analyze the existing evaluation paradigms of healthcare conversational AI,including evaluation subjects,assessment metrics,and evaluation methodologies.Results:A total of 60 studies were included in this review.The findings indicate that most evaluation subjects focus on general-purpose large language models.The assessment metrics cover five key dimensions:technical performance,information quality,clinical effectiveness,user experience,and ethics and safety.However,there were significant differences in the evaluation criteria used in existing studies.There were also issues such as a low degree of alignment between the evaluation questions and the application scenarios,as well as a lack of diversity in the roles of the evaluators.Conclusions:The current evaluation framework for healthcare conversational AI remains underdeveloped.Future improvements should focus on broadening model coverage,enhancing the comprehensiveness of evaluation indicators,standardizing evaluation methods,improving the operationalizability of test content,and expanding the scalability of evaluation languages.