The Animal Molecular Biology course is a crucial and foundational course for both Animal Medicine and Animal Science majors.Apart from teaching fundamental principles of molecular biology,the course provides updated applications of these principles in the field of animal science research.Im-portantly,it plays a fundamental role in cultivating students'research capabilities.With the rise of over-whelming information and their optimal utilization,the demand for integrating digital education with tradi-tional teaching methods is increasing.Based on the five years of teaching practice,this paper summarizes four highlights of the course:the construction of teaching resource,the restructuring of teaching syllabus,the adjustment of classroom teaching hours,and the improvement of assessment methodology.It focuses on Electronic-Learning"E(E-Learning)",offline classroom intensive teaching"C(Classroom)",and post-class extension to construct a blended teaching model that integrates Electronic-Learning and Class-room teaching,namely the"E+C"blended teaching model.Offline classroom teaching emphasizes the combination of theory and knowledge systems,while online Electronic-Learning mainly focuses on popular science and interesting aspects to stimulate students' interests and enthusiasm in learning.Over five years of practice,the"E+C"blended model has been proven to exert a good teaching effect.Students have reported significant gains from the course,with tightly connected and strongly complementary class-room teaching and E-Learning,which greatly aids in mastering professional knowledge.It also cultivates intrinsic motivation for learning and enhances the sense of accomplishment in acquiring knowledge,sig-nificantly improving teaching effectiveness.

Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.

Hypercholesterolemia is pathologically characterized by abnormal accumulation of low-density lipoprotein cholesterol,which is closely associated with metabolic dysfunction-associated fatty liver disease and increased cardiovascular risks.Hepatocytes maintain cholesterol homeostasis through LDL receptor-mediated uptake and esterification storage mechanisms.However,chronic cholesterol overload induces mitochondrial dysfunction,reactive oxygen species accumulation,and endoplasmic reticulum stress,leading to hepatocyte injury.Moreover,systemic hypercholesterolemia disrupts gut microbiota balance and impairs short-chain fatty acid and ketone metabolism,exacerbating metabolic disturbances and aggravating hepatic injury through enhanced metabolic stress.In this article,we review the advance of studies on hypercholesterolemia in recent years and summary its association with hepatic injury,which can provide theoretical support for further research.

Aim To examine the pathogenesis of disul-fide death gene in vascular dementia(VD)by bioin-formatics analysis of disulfide death differentially ex-pressed genes(DEGs)combined with experimental verification.Methods The death DEGs of disulfide were screened and their correlation was analyzed.The VD patients data in the data set were analyzed by clus-tering and typing and gene set variation.The clustering risk of DEGs was tested with a nomogram model,and the optimal learning model was predicted.After the es-tablishment of VD rat model,water maze test,HE stai-ning and RT-qPCR detection were performed to verify the results of health information.Results Four DEGs including SLC7A11 were obtained,which had antago-nistic or synergistic interaction with each other.The genetic data could be divided into two subtypes with significant differences.After typing,VD disulfide DEGs were mainly concentrated in GnRH signaling pathways.The accuracy of the nomogram prediction model was high.Generalized linear was the best ma-chine learning model.Compared with the sham opera-tion group,the escape latency of rats in the model group was prolonged,the number of crossing platforms decreased,the relative mRNA expression levels of Slc3a2 and Slc7a11 decreased,and LRPPRC in-creased.Conclusions SLC7A11 and other disulfide death DEGs and its related GnRH signaling pathway may be an important part of the pathogenesis of VD di-sulfide death.SLC3A2,LRPPRC and SLC7A11 can be used as characteristic genes in the regulation of VD by disulfide death,which may affect VD progression through the regulation of disulfide death.

Hypercholesterolemia is pathologically characterized by abnormal accumulation of low-density lipoprotein cholesterol,which is closely associated with metabolic dysfunction-associated fatty liver disease and increased cardiovascular risks.Hepatocytes maintain cholesterol homeostasis through LDL receptor-mediated uptake and esterification storage mechanisms.However,chronic cholesterol overload induces mitochondrial dysfunction,reactive oxygen species accumulation,and endoplasmic reticulum stress,leading to hepatocyte injury.Moreover,systemic hypercholesterolemia disrupts gut microbiota balance and impairs short-chain fatty acid and ketone metabolism,exacerbating metabolic disturbances and aggravating hepatic injury through enhanced metabolic stress.In this article,we review the advance of studies on hypercholesterolemia in recent years and summary its association with hepatic injury,which can provide theoretical support for further research.

The Animal Molecular Biology course is a crucial and foundational course for both Animal Medicine and Animal Science majors.Apart from teaching fundamental principles of molecular biology,the course provides updated applications of these principles in the field of animal science research.Im-portantly,it plays a fundamental role in cultivating students'research capabilities.With the rise of over-whelming information and their optimal utilization,the demand for integrating digital education with tradi-tional teaching methods is increasing.Based on the five years of teaching practice,this paper summarizes four highlights of the course:the construction of teaching resource,the restructuring of teaching syllabus,the adjustment of classroom teaching hours,and the improvement of assessment methodology.It focuses on Electronic-Learning"E(E-Learning)",offline classroom intensive teaching"C(Classroom)",and post-class extension to construct a blended teaching model that integrates Electronic-Learning and Class-room teaching,namely the"E+C"blended teaching model.Offline classroom teaching emphasizes the combination of theory and knowledge systems,while online Electronic-Learning mainly focuses on popular science and interesting aspects to stimulate students' interests and enthusiasm in learning.Over five years of practice,the"E+C"blended model has been proven to exert a good teaching effect.Students have reported significant gains from the course,with tightly connected and strongly complementary class-room teaching and E-Learning,which greatly aids in mastering professional knowledge.It also cultivates intrinsic motivation for learning and enhances the sense of accomplishment in acquiring knowledge,sig-nificantly improving teaching effectiveness.

Lung transplantation is the optimal treatment for end-stage lung diseases and can significantly improve prognosis of the patients. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury, and other challenges (like shortage of donor lungs) , limit the practical application of lung transplantation in clinical practice. Chinese research teams have been making continuous efforts and have achieved breakthroughs in basic research on lung transplantation by integrating emerging technologies and cutting-edge achievements from interdisciplinary fields, which has strongly propelled the development of this field. This article will comprehensively review the academic progress made by Chinese research teams in the field of lung transplantation in 2024, with a focus on the achievements of Chinese teams in basic research on lung transplantation. It aims to provide innovative ideas and strategies for key issues in the basic field of lung transplantation and to help China's lung transplantation cause reach a higher level.

OBJECTIVE: Humans are exposed to complex mixtures of environmental chemicals and other factors that can affect their health. Analysis of these mixture exposures presents several key challenges for environmental epidemiology and risk assessment, including high dimensionality, correlated exposure, and subtle individual effects. METHODS: We proposed a novel statistical approach, the generalized functional linear model (GFLM), to analyze the health effects of exposure mixtures. GFLM treats the effect of mixture exposures as a smooth function by reordering exposures based on specific mechanisms and capturing internal correlations to provide a meaningful estimation and interpretation. The robustness and efficiency was evaluated under various scenarios through extensive simulation studies. RESULTS: We applied the GFLM to two datasets from the National Health and Nutrition Examination Survey (NHANES). In the first application, we examined the effects of 37 nutrients on BMI (2011-2016 cycles). The GFLM identified a significant mixture effect, with fiber and fat emerging as the nutrients with the greatest negative and positive effects on BMI, respectively. For the second application, we investigated the association between four pre- and perfluoroalkyl substances (PFAS) and gout risk (2007-2018 cycles). Unlike traditional methods, the GFLM indicated no significant association, demonstrating its robustness to multicollinearity. CONCLUSION GFLM framework is a powerful tool for mixture exposure analysis, offering improved handling of correlated exposures and interpretable results. It demonstrates robust performance across various scenarios and real-world applications, advancing our understanding of complex environmental exposures and their health impacts on environmental epidemiology and toxicology.
Humans ; Environmental Exposure/analysis* ; Linear Models ; Nutrition Surveys ; Environmental Pollutants ; Body Mass Index

Osteoarthritis (OA) is a prevalent degenerative joint disease predominantly affecting the elderly and is characterized by cartilage degradation, synovitis, and subchondral bone sclerosis. Despite its widespread occurrence, no effective pharmacological interventions currently exist to halt or reverse disease progression. Polyphenolic compounds, a diverse class of plant-derived substances, have attracted considerable attention for their potent anti-inflammatory and antioxidant activities. This review summarizes recent advances in understanding the multifaceted roles of polyphenols in OA. Specifically, polyphenols protect chondrocytes and preserve the extracellular matrix by mitigating oxidative stress, suppressing inflammation, regulating autophagy and cholesterol metabolism, and inhibiting programmed cell death pathways, including apoptosis, pyroptosis, and ferroptosis. Furthermore, they exert protective effects on synovial tissue by regulating macrophage polarization and inhibiting pathogenic fibroblast activation, while also contributing to the maintenance of subchondral bone homeostasis. Recent progress in nanotechnology-based delivery systems, designed to overcome the poor solubility and limited bioavailability of polyphenols, is also highlighted. Collectively, this review integrates mechanistic insights with emerging therapeutic strategies, underscoring the potential of polyphenolic compounds as disease-modifying agents for OA.

Intentional tooth replantation (ITR) is an advanced treatment modality and the procedure of last resort for preserving teeth with inaccessible endodontic or resorptive lesions. ITR is defined as the deliberate extraction of a tooth; evaluation of the root surface, endodontic manipulation, and repair; and placement of the tooth back into its original socket. Case reports, case series, cohort studies, and randomized controlled trials have demonstrated the efficacy of ITR in the retention of natural teeth that are untreatable or difficult to manage with root canal treatment or endodontic microsurgery. However, variations in clinical protocols for ITR exist due to the empirical nature of the original protocols and rapid advancements in the field of oral biology and dental materials. This heterogeneity in protocols may cause confusion among dental practitioners; therefore, guidelines and considerations for ITR should be explicated. This expert consensus discusses the biological foundation of ITR, the available clinical protocols and current status of ITR in treating teeth with refractory apical periodontitis or anatomical aberration, and the main complications of this treatment, aiming to refine the clinical management of ITR in accordance with the progress of basic research and clinical studies; the findings suggest that ITR may become a more consistent evidence-based option in dental treatment.
Humans ; Tooth Replantation/methods* ; Consensus ; Periapical Periodontitis/surgery*