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.

The disturbance of the human microbiota influences the occurrence and progression of many diseases. Live therapeutic bacteria, with their genetic manipulability, anaerobic tendencies, and immunomodulatory properties, are emerging as promising therapeutic agents. However, their clinical applications face challenges in maintaining activity and achieving precise spatiotemporal release, particularly in the harsh gastrointestinal environment. This review highlights the innovative bacterial functionalized encapsulation strategies developed through advances in physicochemical and biological techniques. We comprehensively review how bacterial encapsulation strategies can be used to provide physical barriers and enhanced adhesion properties to live microorganisms, while introducing superior material properties to live bacteria. In addition, this review outlines how bacterial surface coating can facilitate targeted delivery and precise spatiotemporal release of live bacteria. Furthermore, it elucidates their potential applications for treating different diseases, along with critical perspectives on challenges in clinical translation. This review comprehensively analyzes the connection between functionalized bacterial encapsulation and innovative biomedical applications, providing a theoretical reference for the development of next-generation bacterial therapies.

The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

BACKGROUND: Lung cancer is the leading malignancy in China in terms of both incidence and mortality. With increased health awareness and the widespread use of low-dose computed tomography (CT), early diagnosis rates have been steadily improving. Surgical intervention remains the primary treatment option for early-stage lung cancer, and video-assisted thoracoscopic surgery (VATS) has become a common approach due to its minimal invasiveness and rapid recovery. However, post-discharge recovery remains incomplete, underscoring the importance of postoperative care. Traditional follow-up methods, lack standardization, consume significant medical resources, and increase the burden of the patients. Artificial intelligence (AI)-driven disease management platforms offer a novel solution to optimize postoperative follow-up. This study followed 463 lung cancer surgery patients using an AI-based platform, aiming to identify common postoperative issues, propose solutions, improve quality of life, reduce recurrence-related costs, and promote AI integration in healthcare. METHODS: Using the AI disease management platform, this study integrated educational videos, collaboration between healthcare teams and AI assistants, daily health logs, health assessment forms, and personalized interventions to monitor postoperative recovery. The postoperative rehabilitation status of the patients was assessed by the Leicester Cough Questionnaire (LCQ-MC). Two independent t-test and one-way ANOVA were used to analyze the causes of postoperative cough in lung cancer. RESULTS: Most issues occurred within 7 d post-discharge, significantly declined on 14 d post-discharge. Factors such as gender, smoking history, and surgical approaches were found to influence cough recovery. The incidence of cough on 7 d post-discharge in females was higher than that in males (P<0.01), while the incidence of cough on 14 d post-discharge in elderly patients was lower than that in young patients (P=0.03). The AI-based platform effectively addressed cough, pain, and sleep disturbances through phased interventions. CONCLUSIONS The AI-based platform significantly enhanced postoperative management efficiency and the self-care capabilities of the patients, particularly in phased cough management. Future integration with wearable devices could enable more precise and personalized postoperative care, further advancing the application of AI technology across multidisciplinary healthcare domains.
Humans ; Lung Neoplasms/rehabilitation* ; Male ; Female ; Middle Aged ; Aged ; Patient Discharge ; Artificial Intelligence ; Adult ; Postoperative Care ; Postoperative Period ; Disease Management ; Quality of Life

Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10％was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40％GMV features had the highest classification accuracy(82.50％),with sensitivity,specificity and area under the curve(AUG)of 85.05％,80.40％and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.

Objective:To evaluate the clinical characteristics of Crohn's disease (CD) patients with secondary upper gastrointestinal fistulas and analyze risk factors for recurrence.Methods:A restrospective observational research method was performed. Clinical data of CD patients with secondary upper gastrointestinal fistulas treated at Eastern Theater General Hospital of PLA from January 2010 to August 2024 were analyzed. Based on postoperative recurrence of upper gastrointestinal fistulas, the patients were divided into recurrence group and non-recurrence group. Differences in clinical data between the two groups were compared, and further multivariate Logistic regression analysis was used to identify the risk factors for fistula recurrence.Results:A total of 72 CD patients with secondary upper gastrointestinal fistulas were included, consisting of 48 males and 24 females, with a mean age of 39±12 years and a disease duration of 97±56 months, accounting for 2.8% of all CD patients undergoing surgeries during the same period. Among these patients, 75 upper gastrointestinal fistulas from 72 patients were identified, including 67 patients of simple duodenal fistula, 2 of simple gastric fistula, and 3 of double fistulas (2 of double duodenal fistulas and 1 of duodenal fistula combined with gastric fistula) .The preoperative diagnostic positivity rates were 55.6% (40/72) for gastroscopy, 54.2% (39/72) for upper gastrointestinal contrast imaging, 22.2% (16/72) for abdominal CT, and 22.2% (16/72) for colonoscopy. A history of biologic therapy was present in 33.3% (24/72) of patients, but none achieved fistula healing. All 72 patients underwent surgical treatment, with primary lesion surgical approaches including resection with anastomosis (37 patients, 51.4%) and resection with stoma (35 patients, 48.6%). Except for one gastric fistula treated by resection, all other fistulas underwent primary repair. During a median follow-up of 69 (40, 113) months, 8 patients (11.1%) required reoperation due to recurrent upper gastrointestinal fistulas (classified as the recurrence group), while the remaining 64 patients were assigned to the non-recurrence group. Univariate analysis revealed that the recurrence group had a higher proportion of patients aged 30-40 years ( P = 0.003), malnutrition ( P = 0.040), and anastomosis near the duodenum ( P = 0.047), but a lower proportion of postoperative biologic use ( P = 0.007) .Multivariate Logistic regression analysis showed that malnutrition and anastomosis near the duodenum were not the risk factors for duodenal fistula recurrence (both P > 0.05) . Conclusions:Upper gastrointestinal fistulas secondary to CD are rare, predominantly presenting as simple duodenal fistulas. Diagnosis primarily relies on gastroscopy and gastrointestinal contrast imaging. Biologic therapy shows poor efficacy, and most patients do not recur after the primary repair surgery of duodenal fistulas.

Background: Epimedii Folium, first recorded in the Shennong’s Classic of Materia Medica (Shen Nong Ben Cao Jing), is a traditional Chinese medicine (TCM) known for its effects of “benefiting Qi and strengthening the heart.” Icariside II (ICS II) is one of the main active components of Epimedii Folium, possessing cardiovascular protective and anti-inflammatory properties. However, the potential mechanisms of ICS II on myocardial ischemia (MI) remain unclear. Objective: The aim of the study was to investigate the effects and preliminary molecular mechanisms of ICS II in treating isoproterenolinduced MI in rats. Methods: A rat model of MI was established by subcutaneous injection of isoproterenol. Electrocardiography, echocardiography, myocardial enzymes analysis, heart weight index, triphenyltetrazolium chloride staining, histopathology, TUNEL staining, RT-qPCR, and Western blot were employed to evaluate the effects and preliminary molecular mechanisms of ICS II on MI rats. Results: Pharmacodynamic studies suggested that ICS II inhibited ST-segment elevation in electrocardiograms, improved cardiac function, reduced heart weight index and myocardial enzyme levels, decreased myocardial infarct size, alleviated cardiac histological damage, and inhibited apoptosis, thereby exerting cardioprotective effects in MI rats. Further studies revealed that ICS II may partially inhibit the expression of NLRP3/Caspase-1 axis-related targets at both protein and mRNA levels. Conclusions: Our findings indicate that ICS II exerts anti-MI effects, and its preliminary molecular mechanisms may be related to inhibiting the activation of the NLRP3/Caspase-1 axis to alleviate inflammatory responses.

Background: Epimedii Folium, first recorded in the Shennong’s Classic of Materia Medica (Shen Nong Ben Cao Jing), is a traditional Chinese medicine (TCM) known for its effects of “benefiting Qi and strengthening the heart.” Icariside II (ICS II) is one of the main active components of Epimedii Folium, possessing cardiovascular protective and anti-inflammatory properties. However, the potential mechanisms of ICS II on myocardial ischemia (MI) remain unclear. Objective: The aim of the study was to investigate the effects and preliminary molecular mechanisms of ICS II in treating isoproterenolinduced MI in rats. Methods: A rat model of MI was established by subcutaneous injection of isoproterenol. Electrocardiography, echocardiography, myocardial enzymes analysis, heart weight index, triphenyltetrazolium chloride staining, histopathology, TUNEL staining, RT-qPCR, and Western blot were employed to evaluate the effects and preliminary molecular mechanisms of ICS II on MI rats. Results: Pharmacodynamic studies suggested that ICS II inhibited ST-segment elevation in electrocardiograms, improved cardiac function, reduced heart weight index and myocardial enzyme levels, decreased myocardial infarct size, alleviated cardiac histological damage, and inhibited apoptosis, thereby exerting cardioprotective effects in MI rats. Further studies revealed that ICS II may partially inhibit the expression of NLRP3/Caspase-1 axis-related targets at both protein and mRNA levels. Conclusions: Our findings indicate that ICS II exerts anti-MI effects, and its preliminary molecular mechanisms may be related to inhibiting the activation of the NLRP3/Caspase-1 axis to alleviate inflammatory responses.

Background: Epimedii Folium, first recorded in the Shennong’s Classic of Materia Medica (Shen Nong Ben Cao Jing), is a traditional Chinese medicine (TCM) known for its effects of “benefiting Qi and strengthening the heart.” Icariside II (ICS II) is one of the main active components of Epimedii Folium, possessing cardiovascular protective and anti-inflammatory properties. However, the potential mechanisms of ICS II on myocardial ischemia (MI) remain unclear. Objective: The aim of the study was to investigate the effects and preliminary molecular mechanisms of ICS II in treating isoproterenolinduced MI in rats. Methods: A rat model of MI was established by subcutaneous injection of isoproterenol. Electrocardiography, echocardiography, myocardial enzymes analysis, heart weight index, triphenyltetrazolium chloride staining, histopathology, TUNEL staining, RT-qPCR, and Western blot were employed to evaluate the effects and preliminary molecular mechanisms of ICS II on MI rats. Results: Pharmacodynamic studies suggested that ICS II inhibited ST-segment elevation in electrocardiograms, improved cardiac function, reduced heart weight index and myocardial enzyme levels, decreased myocardial infarct size, alleviated cardiac histological damage, and inhibited apoptosis, thereby exerting cardioprotective effects in MI rats. Further studies revealed that ICS II may partially inhibit the expression of NLRP3/Caspase-1 axis-related targets at both protein and mRNA levels. Conclusions: Our findings indicate that ICS II exerts anti-MI effects, and its preliminary molecular mechanisms may be related to inhibiting the activation of the NLRP3/Caspase-1 axis to alleviate inflammatory responses.

The identification and optimization of mutations in nanobodies are crucial for enhancing their thera-peutic potential in disease prevention and control.However,this process is often complex and time-consuming,which limit its widespread application in practice.In this study,we developed a work-flow,named Evolutionary-Nanobody(EvoNB),to predict key mutation sites of nanobodies by combining protein language models(PLMs)and molecular dynamic(MD)simulations.By fine-tuning the ESM2 model on a large-scale nanobody dataset,the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced.The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies.Additionally,we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations.MD simulations analyzed the energy changes caused by these mu-tations to predict their impact on binding affinity to the targets.The results showed that multiple mu-tations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target,further validating the potential of this workflow for designing and optimizing nanobody mutations.Additionally,sequence-based predictions are generally less dependent on structural absence,allowing them to be more easily integrated with tools for structural predictions,such as AlphaFold 3.Through mutation prediction and systematic analysis of key sites,we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes.The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.