1.Association of vegetables and fruits intake with depressive symptoms in Yunnan multi ethnic first year junior high school students
CHEN Yiyao*, DU Yeming, YIN Wan, HUANG Jianhong, LIU Zihan, JIANG Yinghong, YU Qiaoying, PAN Lijuan, XU Honglü ;
Chinese Journal of School Health 2026;47(1):32-36
Objective:
To explore the association of vegetables and fruits intake with depressive symptoms among multi ethnic first year junior high school students in Yunnan Province, so as to provide data support for preventing and reducing depressive symptoms among first year junior high school students.
Methods:
From October to December 2022, a cluster random sampling method was used to select 8 500 first year junior high school students from 11 ethnic minority areas in Yunnan Province (Fugong County, Longling County, Longyang District, Luchun County, Mojiang County, Nanjian County, Qiaojia County, Shuangjiang County, Tengchong City, Yuanmou County, Zhenyuan County), to investigate with a questionnaire. The Dietary Frequency Questionnaire was used to collect dietary behavior datas, and the Chinese version of Depression Anxiety Stress Scale-21 (DASS-21) was used to assess depressive symptoms. The generalized linear model was used to analyze the association of vegetable and fruit intake with depressive symptoms in students, and stratified analysis was performed according to ethnicity.
Results:
The detection rate of depressive symptoms among first year junior high school students in Yunnan Province was 29.5%. The detection rates of depressive symptoms in Han and minority first year junior high school students were 26.9% and 31.6%. After controlling for demographic variables such as gender, age, family residence and other confounding factors, the generalized linear model analysis results showed that the intake of leafy vegetables ( β= -0.07 , 95%CI =-0.12 to -0.01), flat fruits ( β=-0.06, 95%CI =-0.12 to -0.00) and hot natured fruits ( β=0.11, 95%CI = 0.04- 0.17) were associated with depressive symptoms in Han first year junior high school students (all P <0.05). The intake of melon and fruit vegetables ( β=-0.06, 95%CI =-0.11 to -0.01) and hot natured fruits ( β=0.06, 95%CI =0.01-0.12) were associated with depressive symptoms in ethnic minority first year junior high school students (both P <0.05).
Conclusions
The intake of vegetables and fruits among multi ethnic first year junior high school students in Yunnan Province is related to the risk of depressive symptoms. It is suggested to strengthen the consumption guidance and education of vegetables and fruits to prevent depressive symptoms among first year junior high school students.
2.Mechanism Exploration of Doxorubicin and Sepsis Induced Myocardial Injury: Differences and Convergences
Tao ZHANG ; Zihan NAN ; Lixia LIU ; Jiaqi LIU ; Xiukai CHEN ; Xiaoting WANG ; Suwen SU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):23-32
Doxorubicin (DOX)-induced cardiotoxicity and sepsis-induced myocardial injury (SIMI) represent significant clinical challenges in patients undergoing chemotherapy, sharing a common pathological basis of oxidative stress and mitochondrial dysfunction. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has recently been shown to play a critical role in DOX-induced cardiotoxicity and lipopolysaccharide (LPS)-induced SIMI. This article systematically reviews the mechanisms underlying myocardial injury caused by DOX and sepsis, identifying ferroptosis as a central common pathway. DOX triggers a burst of reactive oxygen species within mitochondria and inhibits glutathione peroxidase 4 (GPX4) activity through redox cycling of its quinone group and high-affinity accumulation in mitochondrial cardiolipin. LPS, by activating pattern recognition receptors and related inflammatory signaling pathways, provokes a cytokine storm and mitochondrial dysfunction. Both can disrupt the core regulatory axis of cysteine-glutathione (GSH)-GPX4, synergistically promoting ferroptosis in cardiomyocytes. Moreover, epigenetic regulation plays a key role in DOX- and LPS-induced cardiomyocyte ferroptosis and may serve as a promising therapeutic target. A deeper understanding of the ferroptosis mechanism and its epigenetic regulatory network in the synergistic injury induced by DOX and sepsis is of great importance for developing novel strategies to mitigate chemotherapy-related cardiotoxicity and improve outcomes in cancer patients with concurrent infections.
3.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
4.Construction and Validation of a Clinical Prediction Model for Inflammatory Remission Outcome of Bushen Zhiwang Decoction(补肾治尪汤)in the Treatment of Rheumatoid Arthritis with Liver and Kidney Deficiency Syndrome
Zihan WANG ; Xiaojing LIU ; Yanyu CHEN ; Tianyi LAN ; Huilan YANG ; Hongwei YU ; Qingwen TAO ; Yuan XU
Journal of Traditional Chinese Medicine 2026;67(5):523-533
ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis (RA) patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction (补肾治尪汤, BZD) based on metabolomics. MethodsA prospective cohort study was conducted, enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) for 12 months. Clinical data were collected, and the change in disease activity score in 28 joints (DAS28) after treatment compared with baseline (△DAS28) was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator (LASSO) regression were used to preliminarily screen differential metabolites, followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination, a novel metabolite index, namely the metabolomics-based inflammatory remission score (Met-IRS), was calculated using standar-dized metabolite values, and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS, and the model performance was assessed. ResultsAmong the 60 patients, those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group, while those with △DAS28 < 0.27 were assigned to the low inflammatory remission group, with 30 cases in each group. Compared to the low inflammatory remission group, the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor (RF) (P<0.05). Seven core metabolites were identified as the optimal combination, including mangiferic acid, fatty acid-hydroxy fatty acid ester 40∶6, fatty acid-hydroxy fatty acid ester 18∶0, fatty acid-hydroxy fatty acid ester 36∶1, glucosylceramide, lysophosphatidylcholine 22∶5, and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group, and was positively correlated with high inflammatory remission outcomes (P<0.05). Based on the variables Met-IRS, methotrexate use, leflunomide use, and RF positivity, a clinical prediction model for inflammatory remission in RA treatment (Cj-RTRM) was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability, with an area under the receiver operating characteristic curve (AUC) of 0.880, sensitivity 0.967, specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring, targeted management, and identification of populations with advantages in traditional Chinese medicine.
5.Modern Expanded Application of Ancient Classic Formulae from the Perspective of Syndrome‑Formula Ontology Reconstruction
Guibin WANG ; Sijie LIN ; Zihan LIU ; Bo PANG
Journal of Traditional Chinese Medicine 2026;67(12):1251-1257
As the core carrier of the inheritance and innovation of traditional Chinese medicine (TCM), the modern expanded application of classic formulae is an inevitable trend for TCM to adapt to the changes in disease spectrum and achieve academic development. However, several challenges remain, including the vague definition of syndrome-formula ontology between ancient and modern times, the insufficient adaptability of the evidence grading system, and the disconnection between theory and clinical practice, having severely restricted the precise application and standardized development of classic formulae. Based on the current status of the modern expanded application of classic formulae, and grounded in the core theory of formula-syndrome correspondence in TCM, this paper constructs a theoretical framework of "syndrome-formula ontology reconstruction". The framework systematically expounds its core connotations, theoretical foundations and practical logic, and further clarifies the reconstruction direction of the TCM-specific evidence grading system by taking correspondence between formula and syndrome as the core, constructing a multi-dimensional and integrated evaluation framework, and adhering to the orientation of clinical application. The ultimate goal is to form a theoretical paradigm characterized by "syndrome-formula ontology reconstruction-evidence grading reconstruction-precise clinical application", thereby providing theoretical support for the digital inheritance, evidence-based development, and modern application of classical prescriptions.
6.Therapeutic Effect of Cranial Painkiller Pills' Extract Powder in Treatment of Trigeminal Neuralgia Induced by Injection of Talci Pulvis into Infraorbital Foramen of Model Rats Based on OTULIN-regulated Neuroinflammation
Shuran LI ; Xinwei WANG ; Jing SUN ; Dan XIE ; Ronghua ZHAO ; Lei BAO ; Zihan GENG ; Qiyue SUN ; Jingsheng ZHANG ; Yaxin WANG ; Xihe CUI ; Xinying LI ; Bing HAN ; Tianjiao LU ; Xiaolan CUI ; Liying LIU ; Shanshan GUO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):21-28
ObjectiveThis paper aims to verify the therapeutic effect of Cranial Painkiller pills' extract powder prepared by the new process on the rat's trigeminal neuralgia model caused by infraorbital injection of Talci Pulvis, evaluate its potential clinical application value, and compare the therapeutic effect with that of Cranial Painkiller granules, so as to provide data support for the application of the Cranial Painkiller pills' extract powder and precise treatment. MethodsThe rat's trigeminal neuralgia model was constructed by infraorbital injection of Talci Pulvis, and the rats were randomly divided into the normal group, model group, carbamazepine group (60 mg·kg-1), Cranial Painkiller granules group (2.70 g·kg-1), and low, medium, and high dosage groups of Cranial Painkiller pills' extract powder (1.35, 2.70, 5.40 g·kg-1) according to the basal mechanical pain thresholds, and there were 10 rats in each group. The drug was administered by gavage to each group 2 h after modeling, and distilled water was given by gavage to the normal and model groups under the same conditions once a day for 10 d. Von Frey brushes were used to measure mechanical pain thresholds in rats. Hematoxylin-eosin (HE) staining was used to detect pathological changes in the trigeminal ganglion, and enzyme-linked immunosorbent assay (ELISA) was used to detect the inflammatory factors interleukin-1 (IL-1), interleukin-6 (IL-6), interleukin-8 (IL-8), and tumor necrosis factor-α (TNF-α) levels in rat serum, as well as neuropeptide substance P (SP) and β-endorphin (β-EP) levels in rat brain tissue. Western blot technique was used to detect the levels of NLRP3, ASC, Caspase-1, and OTULIN proteins in rat brain tissue. ResultsCompared with the normal group, the pain threshold of rats in the model group showed a continuous significant decrease (P<0.01). The pathological damage of brain tissue was significant (P<0.01), and the inflammatory levels of IL-1, IL-6, IL-8, and TNF-α in serum were significantly elevated (P<0.01). The level of the SP in the brain tissue was significantly elevated (P<0.01), and the level of β-EP was significantly reduced (P<0.01), while the level of OTULIN was significantly reduced, and NLRP3, ASC, and Caspase-1 protein levels were significantly elevated (P<0.01). After administration of the drug, compared with the model group, the pain threshold of each dose group of the Cranial Painkiller pills' extract powder and the Cranial Painkiller granules group significantly increased (P<0.01). The inflammatory levels of IL-1, IL-6, IL-8, and TNF-α and SP levels significantly decreased (P<0.01), and the β-EP levels were significantly elevated (P<0.01), while the levels of OTULIN protein were significantly elevated (P<0.05, P<0.01), and the levels of NLRP3, ASC proteins were decreased (P<0.01)in high dose Cranial Painkiller pills' extract powder. Meanwhile, compared with those in the model group, the trigeminal ganglion lesions of rats in the Cranial Painkiller pills' extract powder and Cranial Painkiller granules groups showed different degrees of improvement (P<0.05, P<0.01). ConclusionThe Cranial Painkiller pills' extract powder has significant therapeutic effects on the rat model of trigeminal neuralgia induced by infraorbital injection of Talci Pulvis, and its mechanism is related to the improvement of OTULIN-regulated neuroinflammation.
7.Research on Regulatory Mechanism of Verbenalin on HCoV-229E-infected Macrophage Injury Based on Mitophagy
Qiyue SUN ; Lei BAO ; Zihan GENG ; Ronghua ZHAO ; Shuran LI ; Xihe CUI ; Jingsheng ZHANG ; Xian LIU ; Rui XIE ; Xiaolan CUI ; Shanshan GUO ; Jing SUN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):29-37
ObjectiveTo investigate the protective effect and mechanism of verbenalin on mouse mononuclear macrophage leukemia cells (RAW264.7) damaged by human coronavirus (HCoV)-229E infection, thereby providing experimental evidence for its development and application. MethodsRAW264.7 macrophages were infected with different concentrations of HCoV-229E to establish a coronavirus-induced macrophage injury model using the cell counting kit-8 (CCK-8) assay for assessing cell proliferation and viability. Cells were randomly divided into four groups: normal control, verbenalin group (125 μmol·L-1), model group (HCoV-229E), and HCoV-229E + verbenalin group (HCoV-229E + 125 μmol·L-1 verbenalin). Cell viability was measured using the CCK-8 assay, and the maximum non-toxic concentration (CC0), half-maximal cytotoxic concentration (CC50), half-maximal effective concentration (EC50), and selectivity index (SI) of verbenalin were calculated. Calcein/PI double staining was used to assess cell viability and cytotoxicity, and JC-1 staining was applied to evaluate changes in mitochondrial membrane potential (MMP). mito-Keima adenovirus labeling was used to assess mitophagy levels in each group. ResultsA macrophage infection model was successfully established by infecting RAW264.7 cells with the original concentration of HCoV-229E for 36 h. The CC0 of verbenalin was 125 μmol·L-1. The CC50 was 448.25 μmol·L-1. The EC50 against HCoV-229E-infected cells was 46.28 μmol·L-1, and the SI was 9.68. Compared with the normal group, the model group showed significantly reduced cell survival rate (P<0.01), increased cell death rate (P<0.01), decreased MMP (P<0.01), and suppressed mitophagy (P<0.01). In contrast, verbenalin treatment significantly improved cell survival rate (P<0.01), reduced cell death rate (P<0.01), alleviated MMP loss (P<0.01), and enhanced mitophagy levels (P<0.01) compared with the model group. ConclusionVerbenalin can enhance the survival rate of macrophages following HCoV-229E infection. The underlying mechanism may be associated with the activation of mitophagy, maintenance of MMP stability, and alleviation of mitochondrial damage.
8.Construction and Application of An Animal Model of Respiratory Syncytial Virus Infection Based on Humanized IGF1R Mice
Xiaowei YANG ; Dan XIE ; Shuran LI ; Lei BAO ; Zihan GENG ; Xian LIU ; Mengyao CUI ; Yaxin WANG ; Shan CAO ; Xiaolan CUI ; Jing SUN ; Shanshan GUO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):48-53
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.
9.Mechanism of Tibetan Medicine Sanwei Doukoutang to Improve Cognitive Dysfunction in 5×FAD Mice Based on Wnt/β-catenin Signaling Pathway
Shuran LI ; Yaxin WANG ; Jing SUN ; Lei BAO ; Zihan GENG ; Dan XIE ; Ronghua ZHAO ; Yanyan BAO ; Qiyue SUN ; Jingsheng ZHANG ; Xinwei WANG ; Xinying LI ; Xihe CUI ; Xiaowei YANG ; LIUXIAN ; Mengyao CUI ; Qingshan LIU ; Shanshan GUO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):54-60
ObjectiveTo explore the effects of the Tibetan medicine Sanwei Doukoutang (SWDK) on cognitive dysfunction in mice suffering from Alzheimer's disease (AD) and its related mechanism. MethodsFifty SPF 5 × FAD mice were randomly divided into model group, total ginsenoside group(0.04 g·kg-1), high-, medium-, and low-dose groups of SWDK (32.60, 16.30, 8.15 g·kg-1), with 10 mice in each group, and ten wild-type mice of the same age were used as the normal group, male and female in 1∶1. Gavage administration was performed once daily for 8 weeks. The Morris water maze test and contextual fear memory experiment were used to observe learning and memory function. Hematoxylin-eosin (HE) staining was utilized to observe the changes in the pathomorphology of brain tissue in mice. The levels of synaptophysin (SYP) and postsynaptic dense substance 95 (PSD95) in mice serum were detected by enzyme-linked immunosorbent assay (ELISA). The positive expression of brain-derived neurotrophic factor(BDNF) in the dentate gyrus (DG) region of mouse brain tissue was observed by immunohistochemistry (IHC). The protein levels of BDNF, Wnt family member 3A(Wnt3a), and β-catenin were detected in the hippocampus of mice by Western blot. ResultsCompared with the normal group of mice, the model group of mice had significantly more complex swimming routes and lower swimming speed (P<0.01), significantly lower percentage of time spent in the target quadrant (P<0.01), and a significantly lower percentage of freezing time (P<0.05). The number of neurons in the hippocampal region of mice was obviously reduced and unevenly arranged. The levels of SYP and PSD95(P<0.01) in the serum of mice were reduced, and the positive expression of BDNF in the DG region of the brain tissue of mice was reduced. The levels of hippocampal BDNF, Wnt3a, and β-catenin proteins in the hippocampus of mice were obviously reduced (P<0.05, P<0.01). Compared with the model group, the mice in the SWDK group and the total ginsenoside group had significantly shorter swimming routes, the high- and medium- dose SWDK groups significantly higher swimming speeds (P<0.01), significantly higher percentage of time spent in the target quadrant (P<0.01), obviously higher percentage of Freezing time (P<0.05), and obviously more neurons in the hippocampal region of the mice with tighter arrangement. The mice had elevated levels of serum SYP (P<0.05, P<0.01), PSD95 (P<0.01), increased BDNF-positive cells in the DG region of brain tissue, and obviously elevated levels of BDNF, Wnt3a, and β-catenin proteins in the hippocampus of mice (P<0.05, P<0.01). ConclusionSWDK can significantly improve the cognitive dysfunction of AD mice, and its mechanism may be related to regulating the Wnt/β-catenin signaling pathway, which promotes BDNF expression and thereby enhances synaptic plasticity, allowing neuronal signaling to be restored.
10.Establishment and Application of Animal Models for Disease-syndrome Combination in Viral Pneumonia: A Review
Dan XIE ; Shuran LI ; Zihan GENG ; Lei BAO ; Jing SUN ; Ronghua ZHAO ; Xian LIU ; Mengyao CUI ; Xiaowei YANG ; Xiaolan CUI ; Shanshan GUO
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(21):61-69
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.


Result Analysis
Print
Save
E-mail