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.

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.

Since its establishment in 2016, the National Rare Diseases Registry System of China (NRDRS) has accumulated valuable case data and bio-specimen for basic and clinical research on rare diseases in China. However, the emerging challenges in clinical diagnosis and treatment of rare diseases make it unable for data and resource platform to fully meet the diversified needs. Under this backdrop, we have developed a protocol to optimize and upgrade the system based on the core functions of the NRDRS platform. The goal is to leverage intelligent digital technologies to transform NRDRS into a new platform integrating multimodal data and auxiliary diagnostic and treatment functions. It is specified as the development and construction of "one platform and four intelligent tools." Currently, we have upgraded and developed NRDRS platform, intelligent tool for genotype-phenotype analysis of rare diseases, AI-assisted diagnostic tool for rare diseases, remote multidisciplinary diagnosis and teaching tool for rare diseases, drug screening and validation tool for rare diseases. The next step will focus on the promotion of the application of these tools in clinical settings in order to address the issue of severe imbalance in the allocation of resources for the diagnosis and treatment of rare diseases. This article provides an overview of the digital and intelligent upgrades of the NRDRS, the trials in applications in clinical settings, and direction in the future.

ObjectiveAccording to the theory of medicinal properties in traditional Chinese medicine （TCM）， Tangye Jingfa Tu， implying that all tonic prescriptions should primarily feature sweetness. However， the "Chart of the Classic Methods of Decoction Therapy" recorded in Mnemonic Aids for Medical Practice （Fuxingjue） proposes that each of the Zangfu organs has a corresponding tonifying flavor， i.e.， pungent for the liver， salty for the heart， sweet for the spleen， sour for the lungs， and bitter for the kidneys. Therefore， deficiency syndromes of different organs should be primarily addressed with specific medicinal flavors. This study applies this theoretical framework to analyze the formulation and compatibility principles and efficacy positioning of commonly used TCM tonic prescriptions， providing a reference for differentiated clinical medication. MethodsA database of tonic prescriptions was established based on the textbook Science of Prescriptions. Excel software was used to separately calculate the number of medicinal types， frequency of use， flavors， and proportional composition of the prescriptions. The prescriptions were categorized to determine their compatibility structures and functional characteristics. ResultsA total of 60 prescriptions were included， classified into six categories， involving 110 medicinal types with 469 instances of use. From the perspective of the "Chart of the Classic Methods of Decoction Therapy"， different tonic prescriptions exhibit distinct dominant medicinal flavors and organ associations. Specifically， 15 Qi-tonifying prescriptions primarily adopted a "sweet flavor" to tonify the spleen. Nine blood-tonifying prescriptions primarily adopted a "pungent-salty flavor" to tonify the liver and heart. Seven Qi-and-blood-tonifying prescriptions primarily featured a "sweet-pungent flavor" to tonify the spleen and liver. Nineteen Yin-tonifying prescriptions primarily adopted a "bitter-sour flavor" to tonify the kidneys and lungs. Seven Yang-tonifying prescriptions primarily featured a "pungent-bitter flavor" to tonify the liver and kidneys. Three Yin-and-Yang-tonifying prescriptions primarily featured a "bitter-pungent-sweet flavor" to tonify the kidneys， liver， and spleen. ConclusionThe "Chart of the Classic Methods of Decoction Therapy" clearly illustrates the formulation and compatibility principles and key differences among various tonic prescriptions， indicating that not all tonic prescriptions are predominantly sweet in flavor. This provides new insights for the clinical modification and application of tonic prescriptions.

ObjectiveAccording to the theory of medicinal properties in traditional Chinese medicine （TCM）， Tangye Jingfa Tu， implying that all tonic prescriptions should primarily feature sweetness. However， the "Chart of the Classic Methods of Decoction Therapy" recorded in Mnemonic Aids for Medical Practice （Fuxingjue） proposes that each of the Zangfu organs has a corresponding tonifying flavor， i.e.， pungent for the liver， salty for the heart， sweet for the spleen， sour for the lungs， and bitter for the kidneys. Therefore， deficiency syndromes of different organs should be primarily addressed with specific medicinal flavors. This study applies this theoretical framework to analyze the formulation and compatibility principles and efficacy positioning of commonly used TCM tonic prescriptions， providing a reference for differentiated clinical medication. MethodsA database of tonic prescriptions was established based on the textbook Science of Prescriptions. Excel software was used to separately calculate the number of medicinal types， frequency of use， flavors， and proportional composition of the prescriptions. The prescriptions were categorized to determine their compatibility structures and functional characteristics. ResultsA total of 60 prescriptions were included， classified into six categories， involving 110 medicinal types with 469 instances of use. From the perspective of the "Chart of the Classic Methods of Decoction Therapy"， different tonic prescriptions exhibit distinct dominant medicinal flavors and organ associations. Specifically， 15 Qi-tonifying prescriptions primarily adopted a "sweet flavor" to tonify the spleen. Nine blood-tonifying prescriptions primarily adopted a "pungent-salty flavor" to tonify the liver and heart. Seven Qi-and-blood-tonifying prescriptions primarily featured a "sweet-pungent flavor" to tonify the spleen and liver. Nineteen Yin-tonifying prescriptions primarily adopted a "bitter-sour flavor" to tonify the kidneys and lungs. Seven Yang-tonifying prescriptions primarily featured a "pungent-bitter flavor" to tonify the liver and kidneys. Three Yin-and-Yang-tonifying prescriptions primarily featured a "bitter-pungent-sweet flavor" to tonify the kidneys， liver， and spleen. ConclusionThe "Chart of the Classic Methods of Decoction Therapy" clearly illustrates the formulation and compatibility principles and key differences among various tonic prescriptions， indicating that not all tonic prescriptions are predominantly sweet in flavor. This provides new insights for the clinical modification and application of tonic prescriptions.

Constructing an efficient and easy-to-operate multigene expression system is currently a crucial part of plant genetic engineering. In this study, a fragment carrying three independent gene expression cassettes and the expression unit of the gene-silencing suppressor protein(RNA silencing suppressor 19 kDa protein, P19) simultaneously was designed and constructed. This fragment was cloned into the commonly used plant expression vector pCAMBIA300, and the plasmid pC1300-TP2-P19 was obtained. Each gene expression cassette consists of different promoters, fusion tags, and terminators. The target gene can be flexibly inserted into the corresponding site through enzymatic digestion and ligation or recombination and fused with different protein tags, which provides great convenience for subsequent detection. The enhanced green fluorescent protein(eGFP) reporter gene was individually constructed into each expression cassette to verify the feasibility of this vector system. The results of tobacco transient expression and laser-confocal microscopy showed that each expression cassette presented independent and normal expression. Meanwhile, the three key enzyme genes in the betanin synthesis pathway, BvCYP76AD, BvDODA1, and DbDOPA5GT, were constructed into the three expression cassettes. The results of tobacco transient expression phenotype, protein immunoblotting(Western blot), and chemical detection of product demonstrated that the three exogenous genes were highly expressed, and the target compound betanin was successfully produced. The above results indicated that the constructed multigene expression system for plants in this study was efficient and reliable and can achieve the co-transformation of multiple plant genes. It can provide a reliable vector platform for the analysis of plant natural product synthesis pathways, functional verification, and plant metabolic engineering.
Nicotiana/metabolism* ; Genetic Vectors/metabolism* ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Plants, Genetically Modified/metabolism* ; Genetic Engineering/methods* ; Green Fluorescent Proteins/metabolism* ; Gene Expression

By employing the analytic hierarchy process(AHP), the CRITIC method(a weight determination method based on indicator correlations), and the AHP-CRITIC hybrid weighting method, the weight coefficients of evaluation indicators were determined, followed by a comprehensive score comparison. The grey correlation analysis was then performed to analyze the results calculated using the hybrid weighting method. Subsequently, a backpropagation-artificial neural network(BP-ANN) model was constructed to predict the extraction process parameters and optimize the extraction process for Shenxiong Huanglian Jiedu Granules(SHJG). In the extraction process, an L_9(3~4) orthogonal experiment was designed to optimize three factors at three levels, including extraction frequency, water addition amount, and extraction time. The evaluation indicators included geniposide, berberine, ginsenoside Rg_1 + Re, ginsenoside Rb_1, ferulic acid, and extract yield. Finally, the optimal extraction results obtained by the orthogonal experiment, grey correlation analysis, and BP-ANN method were compared, and validation experiments were conducted. The results showed that the optimal extraction process involved two rounds of aqueous extraction, each lasting one hour; the first extraction used ten times the amount of added water, while the second extraction used eight times the amount. In the validation experiments, the average content of each indicator component was higher than the average content obtained in the orthogonal experiment, with a higher comprehensive score. The optimized extraction process parameters were reliable and stable, making them suitable for subsequent preparation process research.
Drugs, Chinese Herbal/analysis* ; Neural Networks, Computer

With the growing awareness of public health, the value and importance of traditional Chinese medicine(TCM) resources have become increasingly prominent. Despite the undeniable significance of TCM in medical treatment and healthcare, the protection, development, and utilization of TCM resources still face numerous challenges. Under the traditional model, the development and utilization of TCM resources heavily rely on manual labor and empirical decision-making, which not only leads to inefficiencies and high costs but also causes serious issues such as unstable drug quality and imbalances in market supply and demand. In the current era of rapid advancements in artificial intelligence(AI) and technology, AI has emerged as a new engine to address many challenges and difficulties throughout the entire TCM resource industry chain. By leveraging AI technology, intelligent management, precise production, and optimized utilization of TCM resources can be achieved, thereby improving efficiency, reducing costs, ensuring stable quality, and balancing market supply and demand. This article primarily explores the application of AI technology in the entire TCM resource industry chain from different perspectives and provides an in-depth analysis of the future development of AI in the TCM industry. It holds significant importance and value in promoting the intelligent development of the TCM sector and facilitating the healthy development of the entire TCM resource industry chain.
Artificial Intelligence ; Medicine, Chinese Traditional/economics* ; Humans ; Drugs, Chinese Herbal/economics* ; Drug Industry