ObjectiveTo investigate the effects of modified Buyang Huanwu Tang on cerebral ischemia-reperfusion injury （CI/RI） in mice via the PTEN-induced putative kinase 1/E3 ubiquitin ligase （PINK1/Parkin） signaling pathway-mediated mitophagy， and to explore the underlying mechanism by which modified Buyang Huanwu Tang improves CI/RI. MethodsSeventy-two male C57BL/6J mice were randomly divided into six groups （n = 12 per group）： Sham-operated group， middle cerebral artery occlusion/reperfusion （MCAO/R） model group， low-， medium-， and high-dose modified Buyang Huanwu Tang groups （8.84， 17.68， 35.36 g·kg^-1·d^-1）， and an aspirin group （13.00 mg·kg^-1·d^-1）. Neurological deficit scores were assessed using the Zea-Longa method. Cerebral infarct volume ratio was measured by 2，3，5-triphenyltetrazolium chloride （TTC） staining. Histopathological changes and neuronal injury in brain tissues were observed using hematoxylin-eosin （HE） staining and Nissl staining. Apoptosis was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL） assay. Mitochondrial ultrastructure in brain tissue was observed by transmission electron microscopy （TEM）. Serum levels of superoxide dismutase （SOD） and malondialdehyde （MDA） were determined by enzyme-linked immunosorbent assay （ELISA）. The mRNA and protein expression levels of PINK1， Parkin， microtubule-associated protein 1 light chain 3B （LC3B， LC3Ⅱ/Ⅰ）， and p62 in brain tissues were detected by real-time quantitative reverse transcription PCR （Real-time PCR） and Western blot， respectively. ResultsCompared with the sham-operated group， the MCAO/R model group showed significantly increased neurological deficit scores and cerebral infarct volume ratios （P<0.01）. Severe cortical injury on the infarct side was observed， characterized by decreased neuronal density， cytoplasmic vacuolation， nuclear pyknosis， a marked reduction in Nissl bodies， dissolution of Nissl bodies in the cytoplasm of some pyramidal neurons， and blurred cellular boundaries. The number of TUNEL-positive cells increased significantly （P<0.01）. Mitochondria exhibited cristae membrane rupture and matrix vacuolation， with rupture of the outer mitochondrial membrane and formation of autophagosomes， the number of which increased significantly. Serum SOD activity decreased significantly （P<0.01）， while MDA content increased significantly （P<0.01）. In infarcted brain tissues of model mice， the relative mRNA expression and protein levels of PINK1， Parkin and LC3B were significantly increased （P<0.05， P<0.01）， whereas p62 mRNA and protein expression were significantly decreased （P<0.05， P<0.01）， showing statistical significance. Compared with the model group， all treatment groups showed significantly decreased neurological deficit scores and cerebral infarct volume ratios （P<0.01）. Neuronal density increased significantly， cytoplasmic vacuolation was alleviated， nuclear morphology tended to be more regular and clearer， Nissl body density increased significantly with reduced dissolution and improved contour clarity. The mitochondrial cristae structure was partially restored， with some mitochondria showing autophagosome encapsulation， and the degree of mitochondrial damage was alleviated. Serum SOD activity increased significantly （P<0.01）， while MDA content decreased significantly. The mRNA and protein expression levels of PINK1， Parkin， and LC3Ⅱ/Ⅰ were significantly increased （P<0.05， P<0.01）， while p62 mRNA and protein expression in the low- and medium-dose modified Buyang Huanwu Tang groups were significantly decreased （P<0.05， P<0.01）， showing statistical significance. ConclusionModified Buyang Huanwu Tang can upregulate the protein expression levels of PINK1， Parkin， and LC3Ⅱ/Ⅰ and downregulate p62 protein expression， suggesting that it may improve CI/RI by regulating the expression of proteins related to the PINK1/Parkin signaling pathway. Regulation of the mitophagy pathway may be one of the mechanisms by which modified Buyang Huanwu Tang alleviates CI/RI in mice.

ObjectiveBiochemistry and Molecular Biology, a discipline that elucidates life phenomena at the molecular level, serves as a core foundational course in medical education. It provides the theoretical basis for studying other basic and clinical medical subjects, as well as for understanding pathogenesis, disease diagnosis, and treatment. However, its complex content and highly abstract concepts have posed a dual challenge to traditional teaching models: “inefficient instruction” and “inadequate learning outcomes”. Within limited classroom hours, how to engage students and stimulate their intrinsic motivation, and how to help them recognize, understand, and develop a passion for biochemistry from the perspective of the discipline’s essence, have long been key focuses of curriculum research. MethodsUsing the lipid metabolism chapter as an example, this study employs “Rain Classroom”, a generative artificial intelligence (AI)-assisted platform, to support education in four dimensions: teaching, learning, evaluation, and research. In teaching, it assists instructors through virtual experiments, lesson preparation support, knowledge mapping, and assignment design. For learning, it serves as an intelligent study assistant for students, providing automated assignment review, enabling educational resource sharing, and facilitating personalized learning pathways. In evaluation, the platform automates assignment grading, analyzes student performance data, and offers diagnostic feedback and teaching recommendations. In research, it aids educators in collecting and analyzing teaching data, as well as searching for and summarizing relevant literature. ResultsThe results indicate that an educational model integrating teacher-led instruction, student-centered learning, and generative AI assistance significantly enhances teaching quality, students’ self-directed learning abilities, and knowledge mastery. Furthermore, with the support of generative AI, curriculum-based ideological education—focusing on cutting-edge disciplinary advances and topical medical issues—helps cultivate students’ medical spirit of “honoring life and healing the wounded”, thereby fostering the establishment of appropriate professional values. Finally, while generative AI presents both opportunities and challenges for higher education, this study also analyzes potential risks in its teaching applications, emphasizing the need for both instructors and students to avoid over-reliance and to ensure that technological tools consistently serve the fundamental goals of education. ConclusionThis study demonstrates that integrating generative AI, specifically via the “Rain Classroom” platform, can effectively enhance biochemistry education. By supporting teaching, learning, evaluation, and research, this approach improves both educational effectiveness and student outcomes. It also facilitates the incorporation of cutting-edge knowledge and professional ethics, nurturing a patient-centered mindset. Additionally, the study addresses potential implementation risks to ensure that such technological tools remain aligned with the core purpose of education.

Blood standardization is a crucial means of promoting the healthy and sustainable development of China's blood industry. The construction of a blood standard system serves as the foundational work for blood standardization. To facilitate the continuous improvement of blood standardization efforts, this paper begins by describing the current status and analyzing the issues within China's blood standard system. Through systematic research, it proposes a framework for constructing a blood standard system and offers revision recommendations for its enhancement. Based on the first five editions of the blood standard system developed by Sub-Committee of Blood Standards of National Committee of Health Standards, this study further refines the revision and detailed construction of the standards framework—the primary task in establishing the blood standard system. It provides specific guidance for both the construction and application of the blood standard system. This work serves as a reference and basis for the reasonable and standardized formulation and revision of blood standards, as well as for the management and implementation of blood standardization efforts.

Objective The aim of this study is to examine the epidemiological features of foodborne disease outbreaks in Nanjing between 2013 and 2023, in order to offer a scientific foundation for the prevention and management of foodborne diseases. Methods Gathering information on foodborne disease outbreaks in Nanjing from 2013 to 2023, conduct descriptive analysis on the epidemiological characteristics of outbreak events, including time distribution, location distribution, and pathogenic factor distribution. A comparison of the rates was conducted using a χ² test, with P<0.05 signifying statistical significance. Results Nanjing experienced 145 outbreaks of foodborne diseases. resulting in 21246 people being exposed, 2 488 affected and 3 fatalities from 2013 to 2023. The epidemic is primarily concentrated in the third quarter. There is a significant statistical difference in the incidence rate between different quarters (χ²=121.063, P<0.001). The number of events caused by Vibrio parahaemolyticus is the highest, accounting for 23.45%. The identification rate of problematic foods is 67.59%, with meat and meat products being the most pathogenic (18.62%). The outbreak was mainly caused by improper storage and processing. The restaurants being the most common (41.38%). Conclusions Nanjing should focus on monitoring outbreaks caused by Vibrio parahaemolyticus, especially in the third quarter; it is necessary to strengthen the health education of poisonous mushrooms; Nanjing should focus on the storage and processing of meat and meat products, and enhance food safety supervision in catering service venues, and improve on-site sampling and laboratory testing capabilities, thus drastically diminishing the risk of foodborne disease outbreaks.

Objective To describe the significance of the pretreatment inflammatory indicators in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC) after undergoing radical radiotherapy. Methods The data of 246 ESCC patients who underwent radical radiotherapy were retrospectively collected. Receiver operating characteristic (ROC) curves were drawn to determine the optimal cutoff values for platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII). The Kaplan-Meier method was used for survival analysis. We conducted univariate and multivariate analyses by using the Cox proportional risk regression model. Software R (version 4.2.0) was used to create the nomogram of prognostic factors. Results The results of the ROC curve analysis showed that the optimal cutoff values of PLR, NLR, and SII were 146.06, 2.67, and 493.97, respectively. The overall response rates were 77.6% and 64.5% in the low and high NLR groups, respectively (P<0.05). The results of the Kaplan-Meier survival analysis revealed that the prognosis of patients in the low PLR, NLR, and SII group was better than that of patients in the high PLR, NLR, and SII group (all P<0.05). The results of the multivariate Cox regression analysis showed that gender, treatment modalities, T stage, and NLR were independent factors affecting the overall survival (OS). In addition, T stage and NLR were independent factors affecting the progression-free survival (PFS) (all P<0.05). The nomogram models of OS and PFS prediction were established based on multivariate analysis. The C-index values were 0.703 and 0.668. The calibration curves showed excellent consistency between the predicted and observed OS and PFS. Conclusion The pretreatment values of PLR, NLR, and SII are correlated with the prognosis of patients with ESCC who underwent radical radiotherapy. Moreover, NLR is an independent factor affecting the OS and PFS of ESCC patients. The NLR-based nomogram model has a good predictive ability.

Macrophages are innate immune cells connected with the development of inflammation. Retinoic acid has previously been proved to have anti-inflammatory and anti-arthritic properties. However, the exact mechanism through which retinoic acid modulates arthritis remains unclear. This study aimed to investigate whether retinoic acid ameliorates rheumatoid arthritis by modulating macrophage polarization. This study used retinoic acid to treat mice with adjuvant arthritis and evaluated anti-inflammatory effects by arthritis score, thermal nociceptive sensitization test, histopathologic examination and immunofluorescence assays. In addition, its specific anti-arthritic mechanism was investigated by flow cytometry, cell transfection and inflammatory signaling pathway assays in RAW264.7 macrophages in vitro. Retinoic acid significantly relieved joint pain and attenuated inflammatory cell infiltration in mice. Furthermore, this treatment modulated peritoneal macrophage polarization, increased levels of arginase 1, as well as decreased inducible nitric oxide synthase expression. In vitro, we verified that retinoic acid promotes macrophage transition from the M1 to M2 type by upregulating mitogen-activated protein kinase (MAPK) phosphatase 1 (MKP-1) expression and inhibiting P38, JNK and ERK phosphorylation in lipopolysaccharide-stimulated RAW264.7 cells. Notably, the therapeutic effects of retinoic acid were inhibited by MKP-1 knockdown. Retinoic acid exerts a significant therapeutic effect on adjuvant arthritis in mice by regulating macrophage polarization through the MKP-1/MAPK pathway, and play an important role in the treatment of rheumatic diseases.

Inflammatory bowel disease(IBD)is a chronic and recurrent intestinal disease,and has become a major global health issue.Individuals with IBD face an elevated risk of developing colorectal cancer(CRC),and recent studies have indicated that mitochondrial dysfunction plays a pivotal role in the pathogenesis of both IBD and CRC.This review covers the pathogenesis of IBD and CRC,focusing on mitochondrial dysfunction,and explores pharmacological targets and strategies for addressing both conditions by modulating mitochondrial function.Additionally,recent advancements in the phar-macological modulation of mitochondrial dysfunction for treating IBD and CRC,encompassing mitochondrial damage,release of mitochondrial DNA(mtDNA),and impairment of mitophagy,are thoroughly summarized.The review also provides a systematic overview of natural compounds(such as flavonoids,alkaloids,and diterpenoids),Chinese medicines,and intestinal microbiota,which can alleviate IBD and attenuate the progression of CRC by modulating mitochondrial function.In the future,it will be imperative to develop more practical methodologies for real-time monitoring and accurate detection of mitochondrial function,which will greatly aid scientists in identifying more effective agents for treating IBD and CRC through modulation of mitochondrial function.

Objective To construct an intelligent postoperative rehabilitation management platform and evaluate its effect in patients with head and neck cancer.Methods The postoperative intelligent rehabilitation management platform of head and neck cancer patients was divided into 5 layers from bottom to top,including the underlying environment,platform support,core database,analysis algorithm and application platform.Through the construction of head and neck tumor postoperative complications knowledge base and risk prediction model and wearable device auxiliary precision prediction risk,the head and neck cancer patients with postoperative intelligent rehabilitation management was realized.A historical controlled study was conducted and 90 participants with head and neck cancer were selected who underwent the surgical treatment in a hospital in Hangzhou,Zhejiang Province.The experimental group(45 participants admitted from February to July)received the intervention by the intelligent rehabilitation management platform,while the control group(45 patients from August to December)received the routine rehabilitation management.The outcome measures including NRS scores at 12 h,24 h,48 h and 72 h after surgery,incidence of postoperative complications,postoperative length of hospital stay,and patient satisfaction were compared between the 2 groups.Results The scores of incidences of complications,postoperative hospital stay,and NRS scores at 12 h,24 h,48 h and 72 h after surgery in the experimental group were lower than those in the control group(P＜0.05),while the scores of patient satisfaction in the experimental group were higher than those of the control group(P＜0.05).Conclusion The intelligent postoperative rehabilitation management platform can achieve accurate prediction of postoperative complications,reduce postoperative complications of head and neck tumors,timely intervene to relieve patients'pain and discomfort,shorten hospital stays,improve nursing work efficiency and improve patient satisfaction.

Objective To analyze the spatial distribution patterns of the potential suitable habitats for Cremastrae Pseudobulbus Pleiones Pseudobulbus,including Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe under current climatic conditions,and the factors influencing the spatial differentiation of their habitats.Methods Based on the maximum entropy(MaxEnt)model,a species distribution model was established using the screened species distribution data and environmental variable data.The factor detection and interaction detection of geographical detector were applied to quantify the factors influencing the spatial differentiation of the suitable areas.By overlaying the suitable areas with land cover types,the distribution characteristics of forest land and arable land in the potential suitable areas were quantified.Results Under the current climatic scenario,environmental variables such as solar radiation intensity,precipitation and temperature were closely related to the spatial distribution of Cremastrae Pseudobulbus Pleiones Pseudobulbus.The potential suitable areas for Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe were 2.20×106 km2,2.75×106 km2 and 7.22×105 km2,respectively.Considering land cover types,the actual possible suitable areas for Cremastra appendiculata(D.Don)Makino,Pleione bulbocodioides(Franch.)Rolfe and Pleione yunnanensis Rolfe were 1.86×106 km2,2.20×106 km2 and 5.77×105 km2,respectively.Among these,the area of forest land was 1.17×106 km2,1.34×106 km2 and 3.67×105 km2,respectively,and the area of arable land was 6.95×105 km2,8.64×105 km2 and 2.10×105 km2,respectively.Conclusion This study can provide a basis for the protection and sustainable utilization of wild resources of the original plant materials of Cremastrae Pseudobulbus Pleiones Pseudobulbus.

Total knee arthroplasty(TKA)is mainly used for the treatment of advanced knee osteoarthritis.Accurate preoperative planning and rapid prosthesis recognition are essential for smooth operation and postoperative rehabilitation.However,manual prosthesis recognition rely on doctors'experience,easily leading to misdiagnosis or missed diagnosis.Recent years,artificial intelligence(AI)had been integrated with medical imaging,represented by machine learning(ML)and its branch deep learning(DL),and displayed relatively powerful auxiliary functions in TKA.The research status and application progresses of AI combined with imaging in TKA were reviewed in this article.