Chemotherapy-induced peripheral neuropathy(CIPN)refers to some symptoms and signs of peripheral nerve dysfunc-tion caused by using anti-tumor drugs,which is related to the dose of chemotherapy drugs.The pathogenesis of CIPN has not been fully defined,and the efficacy of existing therapeutic drugs and methods is limited.Therefore,it is of great scientific value and social significance to explore the pathogenesis of CIPN,de-velop new therapeutic drugs and methods,and solve the unmet clinical needs.This paper will elaborate on the pathogenesis of CIPN from the molecular and cellular levels,and review the treatment progress of CIPN,so as to provide reference for clinical treatment and direction for future research.

Objective To analyze the correlation between lesion volume,lesion mass,and maximum lesion diameter in the assessment of advanced hepatocarcinoma with lung metastasis,and to evaluate the application value of total volume response and total mass response of lung metastatic lesions in efficacy assessment.Methods A retrospective analysis was conducted on the CT imaging data of 20 patients clinically confirmed with hepatocarcinoma and lung metastases,followed by subsequent follow-up to monitor their survival outcomes.Volume measurement software was used to measure the volume of lesions before and after treatment.We recored lesion diameter,volume measurements and CT values,calculated the mass of the lesions.The correlation between lesion volume,mass and diameter was analyzed,as well as the correlation between the change rates of volume,mass and lesion diameter.Additionally,the total volume and total mass of all lesions were calculated.The correlation between the change rates of total volume/total mass and the change rate of pulmonary lesion diameter under the RECIST 1.1 criteria,as well as the correlation with changes in patients'tumor markers,were analyzed.Furthermore,the overall volume response and overall mass response of lesions were evaluated based on changes in total volume and total mass,and their consistencies with the RECIST 1.1 criteria for efficacy evaluation were analyzed.Finally,univariate Cox regression analysis was performed to explore the association between these variables and patient survival outcomes.Results There was strong correlation between lesion volume,mass and tumor diameter(r=0.771,0.775),between the rate of change in mass and the rate of change in lesion diameter(r=0.846),and between the rates of change in total volume/total mass and the rate of change in pulmonary lesion diameter under the RECIST 1.1 criteria(r=0.800,0.896).The correlation between the rates of change in total volume/total mass and patients'tumor markers was not statistically significant.There was moderate correlation between the rate of change in volume and the rate of change in lesion diameter(r=0.692).The evaluation results of total volume response and total mass response for pulmonary lesions in advanced hepatocarcinoma with lung metastasis were generally consistent with the RECIST 1.1 criteria(Kappa=0.486,0.426).Univariate Cox regression analysis revealed that total lesion volume(P=0.047)and total lesion mass(P=0.049)were independent prognostic factors for survival outcomes.Conclusion Lesion volume,mass,and diameter,as well as their respective change rates,were found to be interrelated.Furthermore,total lesion volume and total lesion mass were identified as independent prognostic factors for survival outcomes.The total volume response and total mass response are promising evaluation methods in evaluating the efficacy of lung metastasis of hepatocarcinoma,which are different from the RECIST 1.1 evaluation criteria.

Objective:To understand the current status of epidemiological investigation task force construction and the performance of infectious disease epidemic response in county (district) Centers for Disease Control and Prevention (CDCs) in China, analyze the influencing factors and provide scientific evidence to improve the construction of grassroot epidemiological investigation task force.Methods:A survey was conducted in epidemiological investigation staff in county (district) CDCs in 31 provinces (autonomous regions/municipalities) and Xinjiang Production and Construction Corps in China. A self-designed questionnaire was used to collect information based on the epidemiological dynamic data collection platform of China CDC. A descriptive epidemiological analysis was conducted, and multiple linear regression models were used to identify the factors associated with the performance of infectious disease epidemic response.Results:A total of 24 934 epidemiological investigation task force members from 2 897 county (district) CDCs were surveyed in the study. In the epidemiological investigation task force, women, those with bachelor's degree and public health workers accounted for 62.46%, 71.36%, and 49.05% respectively. Up to 91.72% of the task force members had participated in field epidemic response. The average score of awareness of epidemic investigation procedures was 60.00, while the average score of key skill proficiency in the investigation was 42.22. The epidemic response performance showed correlations with area, gender, age, education level, major, and field epidemiology training programs, those who had received longer training showed higher competency scores (all P<0.001). Conclusions:Progress has been made in the construction of epidemiological investigation task force in grass-root CDCs in China, but further improvements are needed, especially in the knowledge awareness and investigation skills of the task force. Field epidemiology training demonstrated substantial impact on the improvement of epidemic response performance, indicating that it is necessary to further strengthen the training in grassroot public health workers for the better response to infectious disease epidemics.

At present,the laboratory medicine industry in China has developed rapidly,with various new technologies and methods emerge one after another. However,the current training process of laboratory medicine technology professionals still follows a training model that emphasizes theyory over practice,and the quality of training personnel is far from the requirments of the current development of the laboratory medicine industry in China. In order to effectively alleviate the current situation of the shortage of practical high-quality laboratory medicine talents,it is urgent to reform the teaching of laboratory medicine. The author of this paper puts forward the "Four-in-one" personnel training mode which is suitable for the development of laboratory medicine in China. It is proposed to explore a new teaching mode on the basis of the existing one,giving full play to the students' initiative and innovation,and providing new ideas for training high-quality laboratory medicine professionals.

Objective To investigate the relationship between the radial-ulnar ratio,lateral lunate angle of radius and height loss of radius after palmar locking plate internal fixation for distal radius fractures.Methods A total of 158 patients with distal radius fractures treated with palmar locking plate internal fixation in our hospital from March 2020 to September 2023 were selected.According to the height of radius loss after operation,the patients were divided into non-radius loss group(41 cases,<2 mm),mild to moderate radius loss group(32 cases,2 to 5 mm)and severe radius loss group(85 cases,>5 mm),and the clinical data of patients in the three groups were compared.Multivariate Logistic regression analysis was used to analyze the risk factors affecting height loss of radius.Locally weighted scatterplot smoothing(LOWESS)method was used to analyze the two-dimensional curve relationship of continuous variables.Restricted cubic spline(RCS)and threshold effect were used to analyze the relationship between the radial-ulnar ratio,lateral lunate angle of radius and height loss of radius after operation.Results The age of patients in the severe radius loss group was significantly higher than those in the non-radius loss group and the mild to moderate radius loss group(P<0.05),and the age of patients in the mild to moderate radius loss group was significantly higher than that in the non-radius loss group(P<0.05).Female patients and patients with osteoporosis and fracture type C were more likely to have height loss of radius(P<0.05).There were significant differences in patient-rated wrist evaluation(PRWE)score,disabilities of the arm,shoulder and hand(DASH)score,dorsal extension,palmar curvature,ulnar deviation,radial deviation,radial-ulnar ratio,and lateral lunate angle of radius of patients at 3 and 6 months after operation among three groups(P<0.001).The first prediction model based on age,gender,osteoporosis,fracture type,PRWE score,DASH score,dorsal extension,palmar curvature,ulnar deviation,and radial deviation and the second prediction model based on age,gender,osteoporosis,fracture type,PRWE score,DASH score,dorsal extension,palmar curvature,ulnar deviation,radial deviation,radial-ulnar ratio,and lateral lunate angle of radius were subjected to Hosmer-Lemeshow test showed good goodness of fit.LOWESS analysis showed that age,PRWE score,DASH score,dorsal extension,palmar curvature,ulnar deviation,radial deviation,radial-ulnar ratio,and lateral lunate angle of radius had a certain nonlinear relationship with the height loss of radius.RCS and threshold effect analysis showed that the probability of postoperative radius loss increased with the increase of radial-ulnar ratio in patients with distal radius fractures and radial-ulnar ratio≥13.254(P<0.001).The probability of postoperative radius loss decreased with the increase of the lateral lunate angle of radius in patients with distal radius fractures and lateral lunate angle of radius≤11.068°(P<0.001).Conclusion There was a positive correlation between the radial-ulnar ratio and the height loss of radius,and a negative correlation between the lateral lunate angle of radius and the height loss of radius after palmar locking plate internal fixation for distal radius fractures.

Inflammatory bowel disease (IBD), including ulcerative colitis and Crohn's disease, is a chronic inflammation of the gastrointestinal tract with unknown etiology. The cause of IBD is widely considered multifactorial, with prevailing hypotheses suggesting that the microbiome and various environmental factors contribute to inappropriate activation of the mucosal immune system in genetically susceptible individuals. Although the incidence of IBD has stabilized in Western countries, it is rapidly increasing in newly industrialized countries, particularly China, making IBD a global disease. Significant changes in multiple biomarkers before IBD diagnosis during the preclinical phase provide opportunities for earlier diagnosis and intervention. Advances in technology have driven the development of telemonitoring tools, such as home-testing kits for fecal calprotectin, serum cytokines, and therapeutic drug concentrations, as well as wearable devices for testing sweat cytokines and heart rate variability. These tools enable real-time disease activity assessment and timely treatment strategy adjustments. A wide range of novel drugs for IBD, including interleukin-23 inhibitors (mirikizumab, risankizumab, and guselkumab) and small-molecule drugs (etrasimod and upadacitinib), have been introduced in the past few years. Despite these advancements, approximately one-third of patients remain primary non-responders to the initial treatment, and half eventually lose response over time. Precision medicine integrating multi-omics data, advanced combination therapy, and complementary approaches, including stem cell transplantation, psychological therapies, neuromodulation, and gut microbiome modulation therapy, may offer solutions to break through the therapeutic ceiling.
Humans ; Inflammatory Bowel Diseases/therapy*

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Objective:To compare the outcomes between the arthroscopic en masse repair and the modified separate repair for type Ⅰ delaminated rotator cuff tears.Methods:This retrospective study analyzed the clinical data of 46 patients who had been treated for delaminated rotator cuff tears at Department of Sports Medicine, The Second People's Hospital of Fujian Province from January 2021 to January 2023. This cohort consisted of 15 males and 31 females, with an age of (58.2±9.0) years. Their delaminated rotator cuff tears were all classified as typeⅠ according to Choo et al. According to different surgical methods, they were divided into 2 groups: group A (22 cases) was treated by arthroscopic en masse repair while group B (24 cases) by arthroscopic modified separate repair. The 2 groups were compared in terms of forward flexion, external rotation, internal rotation, visual analogue scale (VAS) for pain, American Shoulder and Elbow Surgeons (ASES) score, and Constant-Murley score at preoperation and the last follow-up. MRI was used to evaluate the healing status of rotator cuff at the last follow-up.Results:There was no significant difference in the baseline data between the 2 groups, indicating comparability ( P>0.05). All patients were followed up for 26.0 (24.0, 28.0) months. At the last follow-up, the external rotation (57.3°±15.7°), ASES score [(97.5±3.6) points] and Constant-Murley score [(93.7±3.0) points] in group B were significantly better than those in group A [40.9°±17.7°, (85.5±18.3) points, and (78.6±22.7) points] ( P<0.05), but the differences in forward flexion, internal rotation or VAS pain score were not significantly different between the 2 groups ( P>0.05). In both groups A and B, significant improvements were achieved at the last follow-up in forward flexion, external rotation, internal rotation, VAS pain score, ASES score, and Constant-Murley score compared with the preoperative period ( P<0.05). At the last follow-up, in group A and group B respectively, the rotator cuff was completely healed in 9 and 18 cases, partially healed in 10 and 6 cases, and re-torn in 3 and 0 cases, showing significant differences in the healing status between the 2 groups ( P<0.05). Conclusion:In the treatment of type Ⅰ delaminated rotator cuff tears, the modified separate repair can obtain significantly better external rotation, ASES score, Constant-Murley score, and healing status of rotator cuff than the arthroscopic en masse repair.

Objective:To understand the current status of epidemiological investigation task force construction and the performance of infectious disease epidemic response in county (district) Centers for Disease Control and Prevention (CDCs) in China, analyze the influencing factors and provide scientific evidence to improve the construction of grassroot epidemiological investigation task force.Methods:A survey was conducted in epidemiological investigation staff in county (district) CDCs in 31 provinces (autonomous regions/municipalities) and Xinjiang Production and Construction Corps in China. A self-designed questionnaire was used to collect information based on the epidemiological dynamic data collection platform of China CDC. A descriptive epidemiological analysis was conducted, and multiple linear regression models were used to identify the factors associated with the performance of infectious disease epidemic response.Results:A total of 24 934 epidemiological investigation task force members from 2 897 county (district) CDCs were surveyed in the study. In the epidemiological investigation task force, women, those with bachelor's degree and public health workers accounted for 62.46%, 71.36%, and 49.05% respectively. Up to 91.72% of the task force members had participated in field epidemic response. The average score of awareness of epidemic investigation procedures was 60.00, while the average score of key skill proficiency in the investigation was 42.22. The epidemic response performance showed correlations with area, gender, age, education level, major, and field epidemiology training programs, those who had received longer training showed higher competency scores (all P<0.001). Conclusions:Progress has been made in the construction of epidemiological investigation task force in grass-root CDCs in China, but further improvements are needed, especially in the knowledge awareness and investigation skills of the task force. Field epidemiology training demonstrated substantial impact on the improvement of epidemic response performance, indicating that it is necessary to further strengthen the training in grassroot public health workers for the better response to infectious disease epidemics.

Objective:To explore the natural course of ulcerative proctitis (UP) and the risk factors associated with disease extent progression.Methods:A retrospective cohort study was conducted, including UP patients who had undergoing prospective regisration in the Department of Gastroenterology, Xijing Hospital of Digestive Diseases, Air Force Medical University between January 2000 and May 2023. All patients were ≥ 18 years old at the time of diagnosis and followed up for more than one year. The disease extent in patients at diagnosis and during follow-up was assessed according to the Montreal classification. The clinical data were compared between the progression group and the non-progression group. The cumulative proportions of disease extent progression were analyzed with the Kaplan-Meier method, and the risk factors associated with disease extent progression were analyzed with the Cox proportional hazards regression model.Results:A total of 184 UP patients were included, with a median follow-up time of 4.8 (2.8, 8.5) years. Among them, 96 were male (52.2%) and 88 were female (47.8%), with a median age at diagnosis of 39.1 (28.8, 49.7) years. At the time of diagnosis, 95 (51.6%) patients had moderate endoscopic manifestations and 64 (34.8%) had severe endoscopic manifestations, while only 25 (13.6%) patients had mild lesions. 116 patients (63.0%) experienced disease extent progression in a median time of 4.2 (1.8, 9.0) years. The cumulative proportions of disease extent progression in 1, 3, 5, and 10 years were 13.0%, 39.0%、56.7% and 78.3%, respectively. Cox regression analysis identified the use of 5-aminosalicylic acid as a protective factor against disease extent progression ( HR = 0.55, 95% CI: 0.31 ~ 0.96, P = 0.035). During follow-up, only one patient (0.5%) underwent surgery. Five patients (2.7%) were diagnosed with dysplasia, and all of these patients had experienced disease extent progression before the development of dysplasia. Conclusions:Patients with UP had a high proportion of moderate-to-severe active endoscopic findings at diagnosis, and nearly two-thirds of patients experienced disease progression during follow-up, but the rates of colectomy and neoplasia were relatively low. 5-ASA was a protective factor against disease extent progression.