Obesity and its related metabolic diseases have become a major global public health threat, and its rising incidence significantly increases the risk of cardiovascular and cerebrovascular diseases, diabetes and other complications. Pancreatic lipase is a key enzyme that converts food-borne lipids into triglycerides and fatty acids, and the effective inhibition of its activity has become an important strategy for the treatment of obesity. This paper discusses the screening methods of pancreatic lipase inhibitors, and summarizes and reviews the basic principles, advantages and disadvantages and application status of traditional screening methods, modern new screening methods and virtual screening methods. In view of the problems faced by the screening methods of pancreatic lipase inhibitors, future research urgently needs to move towards a collaborative innovation path of multi-technology integration, intelligent screening and complex systematization of traditional Chinese medicine, so as to open up new research paradigms.

Objective: To revise and validate the reliability and validity of Chinese version of the Benevolent Childhood Experiences (BCEs) Scale among college students, so as to provide a scientific and reliable assessment tool for related research. Methods: From April to June 2025, a stratified cluster random sampling method was used to select 1 677 freshmen from a university in Xuzhou City as participants. The survey was conducted by using the revised Benevolent Childhood Experiences (BCEs) Scale, Childhood Trauma Questionnaire (CTQ) and Brief Suicidal Behavior Scale. Reliability analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Spearman correlation analysis, and hierarchical linear regression analysis were employed to evaluate the scale s reliability, validity, and relationships among variables. Results: The mean scores of the 10 items on the BCEs Scale ranged from 3.97 to 4.46, with standard deviations ranging from 0.88 to 1.07. The Cronbach α coefficient was 0.96. Exploratory factor analysis extracted a single factor, explaining 71.21% of the total variance. Confirmatory factor analysis indicated good model fit ( χ 2/df =4.81, goodness of fit index=0.99, comparative fit index=0.99, normed fit index=0.99, root mean square error of approximation=0.05, standardized root mean square residual=0.01). BCEs total scores were negatively correlated with CTQ total scores and all its dimensions among college students ( r =-0.53 to -0.13, all P < 0.01). Hierarchical regression analysis showed that BCEs moderated the effect of CTQ on suicidal behavior, with a statistically significant interaction ( β=-0.11, t=-4.01, P <0.01). Conclusion The Chinese revised version of the BCEs Scale demonstrates good reliability and validity, and it is suitable for assessing BCEs among Chinese college students.

Fecal microbiota transplantation （FMT） has been widely used in the treatment of gastrointestinal disorders， particularly Clostridium difficile infection， while there are few reports of its application in the diagnosis and treatment of cirrhotic ascites. This article reports a case of a patient with cirrhotic ascites and chronic diarrhea who received FMT with oral capsules， demonstrating significant short-term efficacy without any adverse reactions， in order to provide a reference for the application of FMT in the treatment of liver diseases.

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Fifty whitespotted bamboo sharks (Chiloscyllium playgiosum) of both sexes were used to establish a large capacity variable domain of the new antigen receptor (VNAR) library with a total capacity of over 10⁹ colony-forming units (CFU). It was applied to screen VNARs against human serum albumin (HSA) and human transcription factor EB (TFEB), respectively. Meanwhile, VNAR libraries specific to HSA and TFEB with capacities above 10⁸ CFU were obtained following conventional immunization. These two approaches were systematically studied in terms of VNAR yield and composition. By comparing the VNAR sequences obtained from naïve and antigen-immunized libraries, we found that the complementary-determining region 3 (CDR3) of the former differs in composition from that of the latter. It shares a higher degree of homology with the naïve library. Meanwhile, the binding efficiency assessed by ELISA is also different between the naïve and antigen-immunized libraries. The binding of VNARs from the TFEB-immunized library appeared to surpass that observed with the naïve libraries, whereas the performance of VNARs from the HSA-immunized library indicated that both the immunized and naïve libraries for HSA had positive binding responses in polyclonal and monoclonal ELISA. The results are useful to develop novel diagnostic and therapeutic products based on shark VNARs.

High mobility group box 1 (HMGB1), when released extracellularly, plays a pivotal role in the development of spinal cord synapses and exacerbates autoimmune diseases within the central nervous system. In experimental autoimmune encephalomyelitis (EAE), a condition that models multiple sclerosis, the levels of extracellular HMGB1 and interleukin-33 (IL-33) have been found to be inversely correlated. However, the mechanism by which IL-33 deficiency enhances HMGB1 release during EAE remains elusive. Our study elucidates a potential signaling pathway whereby the absence of IL-33 leads to increased binding of P300/CBP-associated factor with HMGB1 in the nuclei of astrocytes, upregulating HMGB1 acetylation and promoting its release from astrocyte nuclei in the spinal cord of EAE mice. Conversely, the addition of IL-33 counteracts the TNF-α-induced increase in HMGB1 and acetylated HMGB1 levels in primary astrocytes. These findings underscore the potential of IL-33-associated signaling pathways as a therapeutic target for EAE treatment.
Animals ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Astrocytes/metabolism* ; Interleukin-33/metabolism* ; HMGB1 Protein/metabolism* ; Acetylation ; Mice, Knockout ; Mice, Inbred C57BL ; p300-CBP Transcription Factors/metabolism* ; Mice ; Spinal Cord/metabolism* ; Cells, Cultured ; Female ; Signal Transduction

Vitrification cryopreservation technology converts the liquid water in biological samples into glassy solids through ultra-rapid cooling. In this review, the core research of vitrification cryopreservation technology was mainly reviewed, such as the optimization of cryoprotectant formulations, the improvements to temperature control methods, the innovative carrier designs and the improvements to rewarming technology. The application status and issues in the fields of organ preservation, tumor research, reproductive medicine and rare cell preservation were also summarized. By combining the technical principles with glassy state detection methods, a theoretical basis was provided for optimizing the technical system and expanding application scenarios, thereby promoting its large-scale application in clinical and biological sample libraries.

OBJECTIVE: To investigate the effects of removing microglia from spinal cord on nerve repair and functional recovery after spinal cord injury (SCI) in mice. METHODS: Thirty-nine 6-week-old female C57BL/6 mice were randomly divided into control group ( n=12), SCI group ( n=12), and PLX3397+SCI group ( n=15). The PLX3397+SCI group received continuous feeding of PLX3397, a colony-stimulating factor 1 receptor inhibitor, while the other two groups were fed a standard diet. After 14 days, both the SCI group and the PLX3397+SCI group were tested for ionized calcium binding adapter molecule 1 (Iba1) to confirm that the PLX3397+SCI group had completely depleted the spinal cord microglia. The SCI model was then prepared by clamping the spinal cord in both the SCI group and the PLX3397+SCI group, while the control group underwent laminectomy. Preoperatively and at 1, 3, 7, 14, 21, and 28 days postoperatively, the Basso Mouse Scale (BMS) was used to assess the hind limb function of mice in each group. At 28 days, a footprint test was conducted to observe the gait of the mice. After SCI, spinal cord tissue from the injury site was taken, and Iba1 immunofluorescence staining was performed at 7 days to observe the aggregation and proliferation of microglia in the spinal cord. HE staining was used to observe the formation of glial scars at the injury site at 28 days; glial fibrillary acidic protein (GFAP) immunofluorescence staining was applied to astrocytes to assess the extent of the injured area; neuronal nuclei antigen (NeuN) immunofluorescence staining was used to evaluate neuronal survival. And 5-hydroxytryptamine (5-HT) immunofluorescence staining was performed to assess axonal survival at 60 days. RESULTS: All mice survived until the end of the experiment. Immunofluorescence staining revealed that the microglia in the spinal cord of the PLX3397+SCI group decreased by more than 95% compared to the control group after 14 days of continuous feeding with PLX3397 ( P<0.05). Compared to the control group, the BMS scores in the PLX3397+SCI group and the SCI group significantly decreased at different time points after SCI ( P<0.05). Moreover, the PLX3397+SCI group showed a further decrease in BMS scores compared to the SCI group, and exhibited a dragging gait. The differences between the two groups were significant at 14, 21, and 28 days ( P<0.05). HE staining at 28 days revealed that the SCI group had formed a well-defined and dense gliotic scar, while the PLX3397+SCI group also developed a gliotic scar, but with a more blurred and loose boundary. Immunofluorescence staining revealed that the number of microglia near the injury center at 7 days increased in the SCI group than in the control group, but the difference between groups was not significant ( P>0.05). In contrast, the PLX3397+SCI group showed a significant reduction in microglia compared to both the control and SCI groups ( P<0.05). At 28 days after SCI, the area of spinal cord injury in the PLX3397+SCI group was significantly larger than that in SCI group ( P<0.05); the surviving neurons significantly reduced compared with the control group and SCI group ( P<0.05). The axonal necrosis and retraction at 60 days after SCI were more obvious. CONCLUSION The removal of microglia in the spinal cord aggravate the tissue damage after SCI and affecte the recovery of motor function in mice, suggesting that microglia played a neuroprotective role in SCI.
Animals ; Spinal Cord Injuries/surgery* ; Microglia/pathology* ; Female ; Mice ; Mice, Inbred C57BL ; Nerve Regeneration/drug effects* ; Spinal Cord/pathology* ; Pyrroles/administration & dosage* ; Aminopyridines/administration & dosage* ; Recovery of Function ; Disease Models, Animal ; Calcium-Binding Proteins/metabolism* ; Receptors, Granulocyte-Macrophage Colony-Stimulating Factor/antagonists & inhibitors* ; Microfilament Proteins/metabolism* ; Glial Fibrillary Acidic Protein/metabolism*

OBJECTIVE: To investigate short-term effectiveness of robot-assisted fracture reduction and fixation combined with arthroscopic exploration for posterolateral depressed tibial plateau fractures. METHODS: Between January 2022 and January 2024, 8 patients with posterolateral depressed tibial plateau fractures (Schatzker type Ⅲ) were treated using robot-assisted fracture reduction and fixation combined with arthroscopic exploration, with simultaneous treatment of concomitant ligament or meniscus tears. There were 3 males and 5 females with an average age of 54.1 years (range, 42-68 years). Injury mechanisms included traffic accidents (3 cases) and falls (5 cases). The time from injury to operation ranged from 2 to 4 days (mean, 3.1 days). Operation time, intraoperative blood loss, hospital stay duration, visual analogue scale (VAS) score for pain, and complications were recorded. Fracture healing and knee Rasmussen scores were assessed radiographically, while knee function was evaluated using range of motion and Hospital for Special Surgery (HSS) scores. RESULTS: All operations were successfully completed. The operation time was 108-129 minutes (mean, 120.1 minutes). The intraoperative blood loss was 10-100 mL (mean, 41.3 mL). The hospital stay duration was 4-7 days (mean, 5.6 days). All incisions healed by first intention without complication such as peroneal nerve injury, vascular damage, or infection. All patients were followed up 32-48 weeks (mean, 40 weeks). Radiographic follow-up confirmed that the knee Rasmussen scores rated as excellent in 8 patients and all fractures healed with the healing time of 12-16 weeks (mean, 13.5 weeks). The VAS score for pain was 2-4 (mean, 2.8) at discharge and improved to 0 at 1 month after operation. The knee range of motion was 80°-110° (mean, 96.1°) at discharge and increased to 135°-140° (mean, 137.9°) at 1 month after operation. At 3 months after operation, the HSS score was 91-94 (mean, 92.8), all graded as excellent. No severe complication, including implant failure, occurred during follow-up. CONCLUSION For posterolateral depressed tibial plateau fractures, the minimally invasive approach combining robot-assisted fracture reduction and fixation with arthroscopic exploration demonstrates multiple advantages, including shorter operation time, reduced intraoperative blood loss, excellent wound healing, fewer complications, and rapid recovery of knee function. This technique achieves satisfactory short-term effectiveness, while its long-term effectiveness requires further evaluation.
Humans ; Male ; Tibial Fractures/surgery* ; Female ; Middle Aged ; Adult ; Arthroscopy/methods* ; Minimally Invasive Surgical Procedures/methods* ; Fracture Fixation, Internal/methods* ; Aged ; Treatment Outcome ; Robotic Surgical Procedures/methods* ; Operative Time ; Range of Motion, Articular ; Fracture Healing ; Length of Stay ; Tibial Plateau Fractures

Background Occupational stress has emerged as a critical public health concern affecting the physical and mental well-being of workers in the manufacturing sector. However, researchers typically evaluate its core driver—cumulative fatigue—using a crude binary “present/absent” variable, thereby overlooking the high-dimensional complexity and heterogeneity inherent in fatigue characteristics. This oversimplification constrains both the precision and predictive performance of occupational stress risk assessment model. Objective Leveraging a data-driven approach, to survey data on cumulative fatigue among manufacturing employees, and then use this new classification to develop and validate an occupational stress prediction model, with an ultimate aim of enhancing the accuracy and effectiveness of occupational stress assessment. Methods A set of cross-sectional survey data on 3871 manufacturing employees in 2021 were derived from the “Long working hours exposure and its adverse health effect risk assessment” program of the National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Occupational stress was assessed using the Core Occupational Stress Measurement Scale, while cumulative fatigue was evaluated via the Worker’s Self-Diagnostic Questionnaire for Fatigue Accumulation. Boruta method was applied to screen core variables from 20 occupational stress influencing factors. Dimensionality reduction of cumulative fatigue features was performed using a Bayesian sparse autoencoder (BASE), followed by comparison and application of clustering methods to achieve multi-class classification of the reduced features. Six machine learning classification models were then selected including logistic regression, support vector machine, decision tree, random forest, adaptive boosting, and lightweight gradient boosting machine (LightGBM) to construct and compare two occupational stress prediction models involving cumulative fatigue combined with ten other core variables: one utilizing the original binary cumulative fatigue label as a core variable, and another employing the novel fatigue classification proposed herein as a core variable. Results The positive rate of occupational stress among the manufacturing employees was 38.9%. The Boruta method identified 11 core variables of occupational stress: depressive symptoms, cumulative fatigue, age, length of service, tenure in current position, average weekly working hours, average daily overtime hours, average monthly income, low levels of exercise, life satisfaction, and sleep quality. The BSAE reduced the original cumulative fatigue factors to 12 dimensions, while the K-means clustering grouped the reduced fatigue features into three categories: no fatigue, moderate fatigue, and sever fatigue. Six occupational stress prediction models were constructed using the three-category labels of cumulative fatigue and ten additional factors. The results indicated that the LightGBM model performed best, achieving an area under the curve (AUC) of 0.78, an accuracy of 0.77, and an F1 score of 0.72. Compared with the model incorporating the traditional binary labels for cumulative fatigue, the best prediction AUC (0.72), accuracy (0.66), and F1 score (0.65) improved by 6%, 11%, and 7%, respectively. Conclusion Cumulative fatigue is a significant predictor of occupational stress among manufacturing employees. Applying data dimensionality reduction combined with three-class cluster analysis to characterize cumulative fatigue improves the performance of occupational stress prediction models. From a data-driven perspective, machine learning methods demonstrate strengths in processing complex datasets, capturing nonlinear relationships, and generating predictions based on key variables. This study therefore confirms that refined processing of core factors substantially enhances the predictive capability of machine learning models in assessing occupational stress risk in the manufacturing workforce.