The ambiguity of symptom information in traditional Chinese medicine （TCM） syndrome differentiation can be amplified in the direct reasoning process from symptoms to syndromes in the absence of constraints， which affects the accuracy and stability of intelligent syndrome differentiation. TCM disease concepts， while historically rational， are structurally ambiguous in both their connotation and extension， making it difficult to serve as stable prior knowledge in intelligent modeling. In contrast， modern medical diseases， based on objective testing and quantifiable indicators， have relatively clear boundaries and reproducible standards. This study proposes a disease-syndrome combination model， adopting modern medical diseases as structural prior variables to reconstruct the hierarchical relationships among disease， symptoms， and syndromes. By applying disease constraints， effective screening of information from the four examinations and compressing the reasoning space are achieved. Furthermore， by integrating artificial intelligence technologies， such as multimodal fusion and knowledge graphs， an intelligent syndrome differentiation model driven by both prior knowledge and clinical data is constructed， providing a feasible path to enhance the accuracy of syndrome differentiation and realize the intelligentization of TCM diagnosis and treatment.

Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

Emerging evidence suggests that dysbiosis of the gut microbiota is associated with the pathogenesis of Parkinson's disease (PD), a prevalent neurodegenerative disorder. The microbiota-gut-brain axis plays a crucial role in the development and progression of PD, and numerous studies have demonstrated the potential therapeutic benefits of modulations in the intestinal microbiota. This review provides insights into the characterization of the gut microbiota in patients with PD and highlights associations with clinical symptoms and underlying mechanisms. The discussion underscores the increased influence of the gut microbiota in the pathogenesis of PD. While the relationship is not fully elucidated, existing research demonstrates a strong correlation between changes in the composition of gut microbiota and disease development, and further investigation is warranted to explain the specific underlying mechanisms.
Humans ; Parkinson Disease/microbiology* ; Gastrointestinal Microbiome/physiology* ; Dysbiosis/microbiology*

BACKGROUND: Concurrent chemo-radiotherapy (CCRT) is the standard treatment for locally advanced cervical cancer (LACC), but there are still many patients who suffer tumor recurrence. However, valuable predictors of treatment outcomes remain limited. This study aimed to assess the value of the serum immune biomarkers to predict the prognosis. METHODS: We reviewed cervical cancer patients treated with CCRT between January 2014 and May 2018 at Peking Union Medical College Hospital. The systemic immune inflammation index (SII), systemic inflammation response index (SIRI), and lactate dehydrogenase (LDH) were calculated using blood samples. The relationship between immune markers and the treatment outcome was analyzed. The area under the receiver operating characteristic (ROC) curve was used to evaluate the predictive efficiency. The Cox proportional hazards model and log-rank were used to predict overall survival (OS) and disease-free survival (DFS). RESULTS: This study included 667 patients. Among them, 195 (29.2%) patients were defined as treatment failure, including 127 (19.0%) patients with pelvic failure, 94 (14.1%) distant failure, and 25 (3.7%) concurrent pelvic and distant failure. It revealed that the tumor stage, size, metastatic lymph nodes (MLNs), and serum immune biomarkers, such as SII, SIRI, and LDH, were significantly related to treatment outcomes. We demonstrated that the optimal cut-off of the SII, SIRI, and LDH were 970.4 × 10 9 /L, 1.3 × 10 9 /L, and 207.52 U/L, respectively. Importantly, this study presented that LDH level had the highest OR (OR = 4.2; 95% CI [2.3-10.8]). Furthermore, the OS and DFS for patients with pre-SII ≥970.5 × 10 9 /L were significantly worse than those with pre-SII <970.5 × 10 9 /L. Similarly, pre-SIRI ≥1.25 × 10 9 /L and pre-LDH ≥207.5 U/L were related to poor survival outcomes. CONCLUSIONS This study demonstrated that the baseline SII, SIRI, and LDH levels can be used to accurately and effectively predict the treatment outcomes after CCRT and long-term prognosis. Our results may offer additional prognostic information in clinical, which helps to detect the potential recurrent metastasis in time.
Humans ; Female ; Uterine Cervical Neoplasms/drug therapy* ; Middle Aged ; Adult ; Aged ; Chemoradiotherapy/methods* ; L-Lactate Dehydrogenase/blood* ; Treatment Outcome ; Disease-Free Survival ; Prognosis ; ROC Curve ; Biomarkers, Tumor/blood* ; Proportional Hazards Models

Objective:To assess the predictive value of acute liver failure (ALF) for sepsis-free survival (SFS) in burn patients and to identify associated risk factors.Methods:A retrospective cohort study was conducted on burn patients meeting inclusion criteria from the 2014 Kunshan aluminum dust explosion disaster (August 2, 2014 - April 13, 2015). Eligible patients were stratified into ALF and non-ALF groups based on the development of ALF. Demographic characteristics, total burn surface area, organ dysfunction, time to sepsis onset, and clinical outcomes were collected and compared between groups. Kaplan-Meier survival analysis and multivariate Cox regression were performed to assess the impact of ALF on SFS. A nomogram model was constructed for individualized risk prediction.Results:Among 185 enrolled patients (ALF group:21, non-ALF group:164), ALF incidence was 11.35%. The ALF group demonstrated higher mortality (85.71% vs. 34.15%, P<0.001) and SFS failure rates (100.00% vs. 61.59%, P<0.001) compared to non-ALF patients. Multivariate Cox analysis identified ALF as an independent sepsis predictor ( HR=1.68, 95% CI: 1.00-2.80, P<0.05). Time-dependent ROC analysis showed AUCs of 0.626, 0.714, 0.703, and 0.706 for SFS prediction at 2, 4, 8, and 12 weeks respectively. The nomogram model demonstrated that ALF combined with other parameters effectively predicted sepsis risk within 2-12 weeks post-injury. ALF development showed significant associations with concurrent organ dysfunction including acute kidney injury, acute heart failure, and acute respiratory distress syndrome (all P<0.001). A higher proportion of ALF patients received hemodialysis ( P<0.001) and pre-hospital central venous catheterization ( P=0.017). Conclusions:ALF independently predicts SFS failure and correlates strongly with poor prognosis in burn patients. Early ALF recognition and targeted interventions may facilitate sepsis risk stratification and precision prevention strategies.

Objective To develop an innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis,and conduct clinical validation.Methods The design concept,technical principles and system composition of the innovative minimally invasive rotary-cutting surgical system for axillary osmidrosis were introduced.A total of 73 patients(146 axillae)with axillary osmidrosis were enrolled as subjects,and underwent surgery using the newly developed surgical system.Clinical validation of the system was performed by evaluating postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Results The study demonstrated favorable clinical outcomes in the following aspects:postoperative scarring,odor elimination rate,postoperative complication incidence,and patient satisfaction.Conclusion The minimally invasive rotary-cutting surgical system for axillary osmidrosis is rationally designed.The rotary-cutting puncture device is safe,effective,minimally invasive,and convenient for axillary osmidrosis surgery,warranting further clinical validation and widespread application.

Objective To investigate the effects of different contrast injection schemes on the image quality of triple-rule-out com-puted tomography angiography(TRO-CTA).Methods A total of 691 patients with acute chest pain who underwent TRO-CTA exami-nation from multiple centers were prospectively selected and randomly divided into mixed group and unmixed group according to dif-ferent contrast injection methods.The image quality of aorta,pulmonary artery and coronary artery in the two groups was evaluated subjectively and objectively and the radiation dose was calculated.Results There were no significant differences in subjective image quality scores,aorta and coronary CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)between the two groups(P>0.05),while there were significant differences in pulmo-nary CT values,SNR,CNR and radiation dose between the two groups(P<0.05).Conclusion The utilization of a mixed contrast injection scheme in TRO-CTA can satisfy diagnostic require-ments while ensuring a low proportional dosage and reduced radiation dose,which has clinical application value.

Objective:To screen broadly neutralizing antibodies in human immunodeficiency virus-1（HIV-1）chronically infected individuals and characterize their molecular features and to provide new strategies for rational vaccine development and antibody-based therapeutics.Methods:A total of 34 treatment-na?ve individuals with chronic HIV-1 infection were enrolled. Plasma antibody binding levels were measured against two HIV-1 envelope proteins. Single antigen-specific memory B cells were sorted from high-binding samples，and antibody variable region genes were amplified by PCR for paired expression. The monoclonal antibodies were evaluated for neutralizing activity using pseudovirus assays，and their structural features were analyzed by integrating AlphaFold 3 prediction with Discovery Studio molecular docking.Results:Plasma samples showed strong binding to DU422-GP140 and BG505-GP140. Eight monoclonal antibodies were isolated from two donors. Among them，antibodies 0919-A4，0919-A9 and 0808-A2 could cross-react with GP140 from HIV-1 subtypes AE，BC and B. The monoclonal antibody 0919-A9 demonstrated potent neutralizing activity against SF162（Tier 1）and CH181（Tier 2）pseudoviruses，with somatic hypermutation rates of 13.27%（heavy chain）and 15.58%（light chain）. Structural modeling revealed its specific targeting of the V1V2 region on GP120.Conclusion:The isolated antibody 0919-A9 effectively neutralizes Tier 2 pseudoviruses. Its high somatic mutation frequency and V1V2-targeting property underlie its neutralizing activity，providing both a promising candidate and mechanistic insights for HIV vaccine development and antibody-based therapeutic strategies.

Objective To investigate the value of morphological and hemodynamic parameters of CT angiography(CTA)for predicting recurrence of intracranial aneurysms(IA)after endovascular embolization.Methods Totally 205 patients with ruptured IA who underwent endovascular embolization were retrospectively collected and divided into recurrence group(n=35)and non-recurrence group(n=170)according to follow-up results after embolization.The morphological and hemodynamic parameters of IA in CTA before treatment were compared between groups.Variance inflation factor(VIF)was used to explore whether there was collinearity between morphological and hemodynamic parameters,and those without collinearity were included in univariate and multivariate logistic regression analysis to screen predictors of recurrence of IA after endovascular embolization.Two prediction models were constructed based on morphological parameters(model 1)and combination with hemodynamic parameters(model 2).Receiver operating characteristic(ROC)curve was plotted,and the area under the curve(AUC)was calculated to evaluate the predictive efficacy of models.Results The maximum diameter,aneurysm neck width,maximum height,maximum vertical height and size ratio(SR)of IA in recurrence group were all higher than those in non-recurrence group(all P＜0.05),while gradient oscillatory number(GON)in recurrence group was lower than that in non-recurrence group(P＜0.05).The neck width,SR,pressure at IA neck plane,intra-aneurysm time-averaged wall shear stress(TAWSS),oscillatory shear index(OSI)and GON had no significant collinearity(all VIF＜10),among which the neck width,SR and TAWSS were all independent predictors(all P＜0.05).AUC of model 1 and model 2 for predicting recurrence of IA after endovascular embolization was 0.668 and 0.723,respectively,which of model 2 was higher than which of model 1(integrated discrimination improvement index was 0.055,P=0.025).Conclusion CTA morphological parameters combined with hemodynamic parameters of IA could be used to predict its recurrence after endovascular embolization.