ObjectiveTo screen suitable packaging and storage conditions for small packaged Alismatis Rhizoma decoction pieces， laying the foundation for developing standardized storage， maintenance techniques and determining shelf life. MethodsUsing the accelerated stability test method， the small packaged decoction pieces of Alismatis Rhizoma were placed in polyethylene plastic bags， aluminum foil polyethylene composite bags， and cowhide coated paper bags under temperature of （40±2） ℃ and relative humidity of （75±5）% conditions， the quality testing was conducted at the end of the 0^th， 1^st， 2^nd， 3^rd， and 6^th month， respectively. Using long-term stability test method， an orthogonal experiment was designed to investigate storage conditions， packaging materials， and packaging methods. At the end of the 0^th， 1^st， 3^rd， 6^th， 9^th， 12^th， 18^th， and 24^th month， the quality of small packaged Alismatis Rhizoma decoction pieces was tested under different packaging and storage conditions（including 2 packaging methods：vacuum packaging and sealed packaging， 3 storage conditions：room temperature， cool， and modified atmosphere， 3 packaging materials：cowhide coated paper bag， aluminum foil polyethylene composite bag， and polyethylene plastic bag）. Then， the G1-entropy weight method combined with orthogonal experiment was used to analyze the quality changes of the decoction pieces under different packaging and storage conditions to identify optimal packaging and storage conditions. The quality testing indicators for Alismatis Rhizoma decoction pieces were expanded beyond those specified in the 2020 edition of the Pharmacopoeia of the People's Republic of China. In addition to the existing indicators（characteristics， moisture content， extractives， and the total content of 23-acetyl alisol B and 23-acetyl alisol C）， new indicators including color value， water activity， total triterpenoid content， and alisol B content have been added. ResultsThe accelerated stability test results indicated that the quality of small packaged Alismatis Rhizoma decoction pieces was more stable when packaged in aluminum foil-polyethylene composite materials compared to cowhide-coated paper bags and polyethylene plastic bags. Analysis of the long-term stability test results using the G1-entropy weight method combined with orthogonal experiment revealed that storage conditions had the greatest impact on both raw and salt-processed products， followed by packaging materials， while the packaging method had the least influence. For both types of small packaged Alismatis Rhizoma decoction pieces， modified atmosphere storage demonstrated superior efficacy compared to cool storage or room temperature storage. Storage in aluminum foil-polyethylene composite bags was superior to polyethylene plastic bags or cowhide-coated paper bags. However， the stability of sealed raw products was better than vacuum-packed ones， whereas vacuum-packed salt-processed products exhibited greater stability than their sealed counterparts. ConclusionBased on the results of the quality changes of small packaged Alismatis Rhizoma decoction pieces under different storage conditions， it is recommended that the suitable storage packaging conditions for small packaged raw products are sealed packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage， and the suitable storage and packaging conditions for small packaged salt-processed products are vacuum packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage.

ObjectiveBased on the TCM theory of "Yang transforms materials to Qi while Yin constitutes material form"， this paper explored the effects of Zuogui Wan and Yougui Wan on the molecular mechanism of mitochondrial biogenesis during the adipogenic differentiation process of rat bone marrow mesenchymal stem cells （BMSCs） by mediating peroxisome proliferator-activated receptor γ coactivator-1α （PGC-1α） and peroxisome proliferators-activated receptor γ （PPARγ）， providing theoretical support for the prevention and treatment of postmenopausal osteoporosis （PMOP） using Zuogui Wan and Yougui Wan. MethodsBMSCs were divided into a blank group， Zuogui Wan （ZGW） group， Yougui Wan （YGW） group， and Progynova group. Cell identification was performed using flow cytometry. The growth curves of BMSCs were plotted using the methylthiazolyldiphenyl-tetrazolium bromide （MTT） method， and the effects of Zuogui Wan and Yougui Wan on the proliferation of BMSCs were detected. The Oil red O staining method was used to detect lipid droplet formation. The Western blot method was used to detect the expression of adipogenesis-related factors PPARγ， CCAAT/enharcer-binding protein （C/EBP）α， C/EBPβ， lipoprotein lipase （LPL） protein， brown adipose tissue-related （BAT） proteins PGC-1α， uncoupcing protein 1 （UCP1）， PR domdin-containing protein 16 （PRDM16）， mitochondrial biogenesis-related PGC-1α， nuclear respiratory factor 1 （Nrf1）， nuclear factor E₂-related factor 2 （Nrf2）， and mitochondrial transcription factor A （TFAM）. The expression of adipogenesis-related factors PPARγ， C/EBPα， C/EBPβ， LPL genes， and the copy number of cytochrome B （CytoB mtDNA） gene was detected using real-time polymerase chain reaction （Real-time PCR）. Mitochondrial ultrastructure was detected using transmission electron microscopy. ResultsCompared with that in the blank group， the proliferation ability of BMSCs in each treatment group increased continuously as the intervention progressed， and lipid droplets significantly decreased after the drug intervention. The mRNA and protein expression levels of adipogenesis-related factors PPARγ， C/EBPα， C/EBPβ， and LPL were significantly downregulated （P<0.01）， while those of the BAT-related factors PGC-1α， UCP1， PRDM16 were significantly upregulated （P<0.01）. The number of mitochondria increased， accompanied by reduced swelling. The double membrane and cristae structure were clear， and the internal cristae rupture was reduced. The copy number of CytoB mtDNA in each treatment group was significantly increased （P<0.01）. The protein expression levels of mitochondrial biogenesis-related PGC-1α， Nrf1， Nrf2， and TFAM in each treatment group were significantly increased （P<0.01）. ConclusionBoth Zuogui Wan and Yougui Wan can prevent and treat PMOP by intervening in mitochondrial biogenesis in BMSCs through PGC-1α/PPARγ.

Epidermal growth factor receptor-tyrosine kinase inhibitor （EGFR-TKI） represent a class of small-molecule targeted therapeutics for oncology treatment， and serve as first-line therapy for advanced non-small cell lung cancer （NSCLC） with EGFR- sensitive mutations， with representative agents including gefitinib， dacomitinib， and osimertinib. In clinical practice， dose adjustment of EGFR-TKI may be required for cancer patients under special circumstances such as drug combinations or hepatic/ renal impairment. Physiologically-based pharmacokinetic （PBPK） model， capable of predicting pharmacokinetic （PK） processes in humans， has emerged as a vital tool for clinical dose optimization. This article sorts the modeling methodologies， workflows， and commonly used software tools for PBPK model， and summarizes the current applications of PBPK model in EGFR-TKI precision therapy as of June 30， 2024. Findings demonstrate that PBPK modeling methods commonly employ the “bottom-up” approach and the middle-out approach. The process typically involves four steps： parameter collection， compartment selection， model validation， and model application. Commonly used software for modeling includes Simcyp， GastroPlus， and open-source software such as PK- Sim. PBPK model can be utilized for predicting drug-drug interactions of EGFR-TKI co-administered with metabolic enzyme inducers or inhibitors， acid-suppressive drugs， or traditional Chinese and Western medicines. It can also adjust dosages in conjunction with genomics， predict PK processes in special populations （such as patients with liver or kidney dysfunction， pediatric patients）， evaluate the efficacy and safety of drugs， and extrapolate PK predictions from animal models to humans.

ObjectiveTo construct a large language model （LLM）-based intelligent pre-consultation system for traditional Chinese medicine （TCM） to improve efficacy of clinical practice. MethodsA TCM large language model was fine-tuned using DeepSpeed ZeRO-3 distributed training strategy based on YAYI 2-30B. A weighted undirected graph network was designed and an agent-based syndrome differentiation model was established based on relationship data extracted from TCM literature and clinical records. An agent collaboration framework was developed to integrate the TCM LLM with the syndrome differentiation model. Model performance was comprehensively evaluated by Loss function， BLEU-4， and ROUGE-L metrics， through which training convergence， text generation quality， and language understanding capability were assessed. Professional knowledge test sets were developed to evaluate system proficiency in TCM physician licensure content， TCM pharmacist licensure content， TCM symptom terminology recognition， and meridian identification. Clinical tests were conducted to compare the system with attending physicians in terms of diagnostic accuracy， consultation rounds， and consultation duration. ResultsAfter 100 000 iterations， the training loss value was gradually stabilized at about 0.7±0.08， indicating that the TCM-LLM has been trained and has good generalization ability. The TCM-LLM scored 0.38 in BLEU-4 and 0.62 in ROUGE-L， suggesting that its natural language processing ability meets the standard. We obtained 2715 symptom terms， 505 relationships between diseases and syndromes， 1011 relationships between diseases and main symptoms， and 1 303 600 relationships among different symptoms， and constructed the Agent of syndrome differentiation model. The accuracy rates in the simulated tests for TCM practitioners， licensed pharmacists of Chinese materia medica， recognition of TCM symptom terminology， and meridian recognition were 94.09%， 78.00%， 87.50%， and 68.80%， respectively. In clinical tests， the syndrome differentiation accuracy of the system reached 88.33%， with fewer consultation rounds and shorter consultation time compared to the attending physicians （P＜0.01）， suggesting that the system has a certain pre- consultation ability. ConclusionThe LLM-based intelligent TCM pre-diagnosis system could simulate diagnostic thinking of TCM physicians to a certain extent. After understanding the patients' natural language， it collects all the patient's symptom through guided questioning， thereby enhancing the diagnostic and treatment efficiency of physicians as well as the consultation experience of the patients.

With the evolving understanding of the diagnosis and treatment of coronary artery disease （CAD）， current syndrome differentiation systems in traditional Chinese medicine （TCM） are increasingly insufficient in capturing the dynamic progression of the disease and often overlook clinical prognosis. This paper proposes the establishment of a TCM syndrome element differentiation system for CAD based on disease progression. Syndrome elements are categorized into core elements， fundamental elements， and evolutionary elements. The core element is blood stasis， which is regarded as the primary pathogenic factor in the onset of CAD. The fundamental elements， qi stagnation， cold congealment， phlegm turbidity， qi deficiency， yin deficiency， and yang deficiency， are commonly coexisting factors throughout the course of CAD. The evolutionary elements， collateral wind and latent toxin， are key pathogenic factors driving the transformation from chronic to acute stages of the disease. This new system aims to emphasize the evolution of disease over time， with a focus on improving long-term clinical outcomes.

BACKGROUND:Post and core restoration is a common choice for tooth defects,but the repair effects of various post and core materials are different. OBJECTIVE:To evaluate the stress distribution at the post and core,tooth root,and bonding agent site of post and core models made of different elastic modulus post and core materials using finite element method. METHODS:A three-dimensional root canal treated maxillary central incisor model was built using three-dimensional modeling software,which was restored with a full ceramic crown.The post and core materials in the restoration used nanoceramic resin(elastic modulus=12.8 GPa),composite resin(elastic modulus=16 GPa),hybrid ceramic(elastic modulus=34.7 GPa),glass ceramic(elastic modulus=95 GPa),titanium alloy(elastic modulus=112 GPa),and zirconia(elastic modulus=209.3 GPa).The model was fixed in cortical bone.A 100 N concentrated force of 45° from the long axis of the tooth was applied to 1/3 of the crown and tongue side of the central incisor.The stress distribution of the post and core,dentin,and tooth-root bonding agent in the model was repaired by the maximum principal stress criterion. RESULTS AND CONCLUSION:(1)When the post and core materials with higher elastic modulus was used,the post-core stress in the repair model was more concentrated.When the elastic modulus of the post and core materials(nanoceramic resin and composite resin)was close to dentin,the stress distribution of the post and core was more uniform.The stress distribution of dentin in all restoration models was similar regardless of post and core materials.When the post and core with higher elastic modulus was used,more stress concentration was shown at the post and root bonding agent in the repair model.(2)The maximum stress values at the post and core,tooth root,and the bonding agent site of post and tooth root in the nanoceramic resin model were 31.00,33.21,and 0.51 MPa,respectively.The maximum stress values at the post and core,tooth root,and the bonding agent between the post and tooth root in the composite resin model were 36.84,33.14,and 0.59 MPa,respectively.In the mixed ceramic model,the maximum stress values at the post and core,tooth root,and the bonding agent between the post and tooth root were 64.05,32.83,and 1.00 MPa,respectively.In the glass ceramic model,the maximum stress values at the post and core,tooth root,and the bonding agent between the post and tooth root were 112.30,32.69,and 1.73 MPa,respectively.In the titanium alloy model,the maximum stress values of the post and core,tooth root,and the bonding agent between the post and tooth root were 120.00,32.17,and 1.86 MPa,respectively.In the zirconia model,the maximum stress values of the post and core,tooth root,and the bonding agent between the post and tooth root were 148.80,31.85,and 2.28 MPa,respectively.(3)The higher the elastic modulus of the post and core material,the higher the maximum stress at the post and core during restoration.The elastic modulus of the post and core material had no significant effect on the maximum stress of the dental bonding agent and dentin.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

Currently， viral pneumonia （VP） presents a major challenge to global public health. Traditional Chinese medicine （TCM） prevention and treatment of VP is guided by the core concept of strengthening vital energy and eliminating pathogenic factors rather than targeting specific pathogens， alongside a holistic approach of syndrome differentiation and treatment. By summarizing the clinical syndromes of patients， the core pathogenesis was clarified to achieve individualized therapy. Animal models for disease-syndrome combination integrate the etiology and pathogenesis of VP and simulate the individualized manifestations of patients at different disease stages， providing an experimental platform for elucidating the theoretical basis of TCM in treating VP and promoting the development of effective TCM formulations. However， there are limitations in the application and promotion of disease-syndrome combination animal models due to the lack of standardization and normalization of model construction systems， which arise from diverse species selection， compound modeling methods， and multidimensional evaluation indicators. This paper systematically reviewed the recent research on animal models for disease-syndrome combination in VP from the perspective of species selection， modeling methods， evaluation indicators， and application status. Furthermore， it summarized the advantages and limitations of existing models， identifies future directions for improvement， and proposes optimization strategies. This review provides a reference for establishing standardized and normalized animal models for disease-syndrome combinations in VP， supporting the theoretical modernization of TCM in preventing and controlling emerging respiratory infectious diseases， and contributing to the development of new TCM drugs.

ObjectiveTo construct an animal model of respiratory syncytial virus（RSV）-infected pneumonia suitable for preclinical studies. MethodsThe virulence of RSV to the four cell lines was observed by cytopathic effect （CPE）， and 50% tissue culture infective dose（TCID₅₀） was calculated. Twenty BALB/c mice were randomly divided into a normal group and a model group. Six BALB/c-hIGF1R mice served as the humanized IGF1R model group. Except for the normal group， the other groups received intranasal RSV infection on days 1 and 3 to establish a viral pneumonia model. The efficacy of establishing an RSV-induced pneumonia animal model based on humanized insulin-like growth factor 1 receptor （IGF1R） mice was evaluated by measuring organ indices， peripheral blood lymphocyte percentages， pulmonary pathology and imaging， and pulmonary viral load. Additionally， ten BALB/c mice served as normal group， and thirty-two BALB/c-hIGF1R mice were randomly assigned to humanized IGF1R model group， ribavirin group （82.5 mg·kg^-¹·d^-¹）， and high and low dose groups of Lianhua Qingwen （3.3 mg·kg^-¹·d^-¹ ， 1.65 mg·kg^-¹·d^-¹）， with 8 mice per group. The viral load in lung tissue was measured after ribavirin and Lianhua Qingwen intervention， and the model was applied to the evaluation of anti-RSV drugs. ResultsIn the lungs of the humanized IGF1R model group， large solid and diffuse ground-glass shadows were seen， and the lung volume was significantly increased （P<0.01）. The lung index was significantly increased （P<0.01）， and both the spleen index and thymus index were significantly decreased （P<0.01）. The percentages of CD3⁺ and CD4⁺T cells were significantly decreased （P<0.05）， and there was a large amount of inflammation and stasis in the perivascular area of the lung tissue， which was predominantly characterized by lymphocytes. The endothelium of blood vessels was partially detached， with a small number of eosinophils. After infecting BALB/c-hIGF1R mice with RSV， the expression of viral nucleic acids in the lung tissue of the mice was significantly increased， with significant differences compared with the normal group （P<0.01）. The expression of viral nucleic acids in the ribavirin group and the high and low dose groups of Lianhua Qingwen was significantly reduced， with significant differences compared with the normal group （P<0.01）. ConclusionHumanized IGF1R mice are more susceptible to respiratory SVC， and the animal model of RSV-infected pneumonia based on humanized IGF1R mice was successfully constructed， which is suitable for the evaluation of anti-RSV drugs.

Currently， viral pneumonia （VP） presents a major challenge to global public health. Traditional Chinese medicine （TCM） prevention and treatment of VP is guided by the core concept of strengthening vital energy and eliminating pathogenic factors rather than targeting specific pathogens， alongside a holistic approach of syndrome differentiation and treatment. By summarizing the clinical syndromes of patients， the core pathogenesis was clarified to achieve individualized therapy. Animal models for disease-syndrome combination integrate the etiology and pathogenesis of VP and simulate the individualized manifestations of patients at different disease stages， providing an experimental platform for elucidating the theoretical basis of TCM in treating VP and promoting the development of effective TCM formulations. However， there are limitations in the application and promotion of disease-syndrome combination animal models due to the lack of standardization and normalization of model construction systems， which arise from diverse species selection， compound modeling methods， and multidimensional evaluation indicators. This paper systematically reviewed the recent research on animal models for disease-syndrome combination in VP from the perspective of species selection， modeling methods， evaluation indicators， and application status. Furthermore， it summarized the advantages and limitations of existing models， identifies future directions for improvement， and proposes optimization strategies. This review provides a reference for establishing standardized and normalized animal models for disease-syndrome combinations in VP， supporting the theoretical modernization of TCM in preventing and controlling emerging respiratory infectious diseases， and contributing to the development of new TCM drugs.