Breast cancer has become the malignant tumor with the highest incidence rate among women， seriously threatening the life and health of women all over the world. The pathogenic factors and development mechanisms of breast cancer are complex and diverse. The development of breast cells from ordinary hyperplasia to atypical hyperplasia， and from pre-cancerous lesions to cancerous lesions， is a long-term progressive process. Therefore， early screening and prevention of breast cancer is particularly important. Western medicine has a relatively mature treatment program for breast cancer， which is mainly based on surgery and systemic treatment， whereas the ensuing complications and adverse reactions often bring a heavy burden to patients. For the precancerous lesions of breast cancer， surgery is also the mainstay of treatment. In recent years， traditional Chinese medicine （TCM） has increasingly highlighted its advantages in the prevention and treatment of breast cancer. Increasing studies have shown that in the prevention and treatment of breast cancer and pre-cancerous lesions， TCM compound prescriptions， single herbs or herb pairs， and active components are able to regulate a variety of intracellular signaling pathways through multi-targets to inhibit the proliferation and invasion， promote the apoptosis and autophagy of tumor cells， and regulate the cell cycle and the immune microenvironment， thus exerting anti-tumor effects. At the same time， they can significantly attenuate the toxic side effects of radiotherapy and drug resistance of patients. However， the specific mechanisms of TCM in the prevention and treatment of breast cancer and precancerous lesions have not been fully clarified. The available studies are tanglesome regarding the TCM inhibition of tumor development through the regulation of classical signaling pathways such as phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， Wnt/β-catenin， and Notch， which still need to be verified by a large number of clinical and experimental studies. Therefore， this paper reviews the research progress in the prevention and treatment of breast cancer and precancerous lesions by TCM through interfering with the relevant signaling pathways in recent years， aiming to summarize the possible mechanisms of TCM in the prevention and treatment of breast cancer and provide references for subsequent studies.

ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription （BSTDP）. MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-LIT-Orbitrap-MS）. Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction （PPI） network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg （mpx： GFP）. At three days post-fertilization （3 dpf）， larvae of zebrafish were randomly assigned to blank group， model group， positive drug dexamethasone acetate group （75 μmol·L^-1）， and BSTDP groups with low， medium， and high doses （500， 1 000， and 2 000 mg·L^-1）. The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor kappa-B （NF-κB） signaling pathway and inflammatory factors including interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） were detected by Real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsA total of 120 chemical components were identified in BSTDP， among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis （RA） and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine， vomicine， sinapine， rehmannioside， cinnamyl alcohol glycoside， and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 （Akt1）， signal transducer and activator of transcription 3 （STAT3）， tumor necrosis factor （TNF）， TLR4， mitogen-activated protein kinase 14 （MAPK14）， and phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit α （PIK3CA）， thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L^-1. Compared to those in the blank group， zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region （P<0.01） and rising mRNA levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β （P<0.01）. Compared to that in the model group， the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses， as well as the dexamethasone acetate group （P<0.05， P<0.01）. There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β were significantly down-regulated （P<0.05， P<0.01）. ConclusionThis paper identifies the material basis of the efficacy of BSTDP， demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.

ObjectiveThis paper aims to investigate the material basis of the anti-inflammatory efficacy and mechanism of action of Bushen Tongdu prescription （BSTDP）. MethodsThe chemical components of BSTDP and its blood-absorbed components in vivo were systematically identified by using ultra-performance liquid chromatography-linear ion trap-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-LIT-Orbitrap-MS）. Network pharmacology was employed to screen blood-absorbed bioactive components and potential targets of this formula. A protein-protein interaction （PPI） network of core targets was constructed to conduct enrichment analysis. Molecular docking was further utilized to verify the binding affinity between key components and targets. The inflammatory model was established and verified in vivo by using a transgenic zebrafish Tg （mpx： GFP）. At three days post-fertilization （3 dpf）， larvae of zebrafish were randomly assigned to blank group， model group， positive drug dexamethasone acetate group （75 μmol·L^-1）， and BSTDP groups with low， medium， and high doses （500， 1 000， and 2 000 mg·L^-1）. The distribution and quantity of neutrophils in the yolk sac region were observed under a fluorescence microscope. The mRNA expression levels of key genes in the toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor kappa-B （NF-κB） signaling pathway and inflammatory factors including interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） were detected by Real-time quantitative polymerase chain reaction （Real-time PCR）. ResultsA total of 120 chemical components were identified in BSTDP， among which 26 original components were confirmed by using serum pharmacochemical methods. A total of 227 common targets linking rheumatoid arthritis （RA） and the blood-absorbed components were screened by network pharmacology. It is suggested that pseudobrucine， vomicine， sinapine， rehmannioside， cinnamyl alcohol glycoside， and methylephedrine exert anti-inflammatory effects by acting on core targets including protein kinase B1 （Akt1）， signal transducer and activator of transcription 3 （STAT3）， tumor necrosis factor （TNF）， TLR4， mitogen-activated protein kinase 14 （MAPK14）， and phosphatidylinositol-4，5-bisphosphate 3-kinase catalytic subunit α （PIK3CA）， thereby modulating multiple signaling pathways such as TLR4 and NF-κB. In vivo verification in zebrafish demonstrates that the maximum tolerable concentration of Bushen Tongdu Formula is 2 000 mg·L^-1. Compared to those in the blank group， zebrafish in the model group showed a significantly higher number of neutrophils in the yolk sac region （P<0.01） and rising mRNA levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β （P<0.01）. Compared to that in the model group， the number of neutrophils was significantly reduced in BSTDP groups with medium and high doses， as well as the dexamethasone acetate group （P<0.05， P<0.01）. There was no statistically significant difference in the low dose group. The mRNA expression levels of TLR4， MyD88， NF-κB， TNF-α， IL-6， and IL-1β were significantly down-regulated （P<0.05， P<0.01）. ConclusionThis paper identifies the material basis of the efficacy of BSTDP， demonstrating that the formula can exert an anti-inflammatory effect through the TLR4/MyD88/NF-κB signaling pathway. The results provide scientific experimental evidence for its further clinical application.

As the core hub of energy metabolism in eukaryotes, mitochondria participate in a variety of cellular activities, including metabolic regulation of the cell matrix, apoptosis, and the activation of signal transduction pathways. Their functional status is closely linked to the initiation and progression of various diseases. Neurodegenerative diseases are primarily characterized by the progressive loss and dysfunction of neurons, and mitochondrial dysfunction is considered one of the key triggers in this process. The specific mechanisms by which mitochondrial dysfunction contributes to neurodegenerative diseases have attracted widespread attention. When misfolded or unfolded proteins are detected, a process known as the mitochondrial unfolded protein response (mtUPR) is activated to promote proper protein folding or degradation, thereby restoring mitochondrial function. As a mitochondrial stress defense mechanism, mtUPR primarily regulates the expression of nuclear-encoded genes, such as chaperones and proteases, to alleviate mitochondrial stress. Studies have shown that, in addition to misfolded and unfolded proteins, other mitochondrial stresses—such as mitochondrial DNA abnormalities and reactive oxygen species (ROS)—can also induce mtUPR. The biological functions of mtUPR extend beyond mitochondria and are crucial for the health of the entire cell and even the whole organism. The mtUPR process involves communication between mitochondria and the nucleus, a phenomenon that is highly conserved and has been observed across different species. Abnormal activation or inhibition of mtUPR is closely associated with the development of various neurodegenerative diseases, such as Alzheimer’s disease and Parkinson’s disease. An in-depth exploration of the dynamic regulatory role and molecular mechanisms of mtUPR is therefore of great significance for understanding the pathogenesis of these disorders. In addition to neuron loss, neurodegenerative diseases are characterized by the accumulation of misfolded proteins in the brain, including insoluble fibrils of amyloid beta, phosphorylated tau, or α-synuclein. While the molecular pathways of mtUPR are largely conserved across different diseases, the possibility of differential regulatory factors cannot be excluded. Although mtUPR activation is predominantly recognized for its cytoprotective role, it may exert deleterious effects when overstimulated or sustained. Chronic mtUPR activity has been linked to mitochondrial dysfunction and increased neuronal vulnerability, contributing to the pathogenesis of various neurodegenerative diseases. This review summarizes the fundamental concepts, major inducers, and signaling pathways of the mtUPR. We focus on the intrinsic relationship and regulatory patterns between mtUPR and neurodegenerative diseases, providing insights that may aid the development of targeted therapies. Finally, we discuss the challenges and future directions of mtUPR research in this field, aiming to pave the way for new therapeutic breakthroughs. A major limitation arises from the experimental models currently used; most findings rely on model organisms or cultured cells, which cannot fully replicate the complexity of human neurons. Future research should therefore focus on three main directions: (1) defining the molecular switches that determine whether mtUPR acts in a protective or detrimental manner; (2) elucidating differences in mtUPR molecular pathways across various models of neurodegenerative diseases; and (3) establishing robust biomarkers for mtUPR activity.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective To investigate the association of serum total testosterone(TT),free testosterone(FT),sex hormone-binding globulin(SHBG),and estradiol(E_2)with all-cause mortality rate(AMR)in males and to evaluate their predictive value. Methods Based on data from the National Health and Nutrition Examination Survey(NHANES)cycles(1999—2004 and 2013—2016),the relationships between different sex hormones and AMR was analyzed with Cox proportional hazards regression models. The dose-response relationships between different sex hormones and male AMR were assessed with restricted cubic splines(RCS). The predictive performances of different sex hormones for male AMR were compared with receiver operating characteristic(ROC)curves and the area under the curve(AUC). The survival differences across varying sex hormone levels were evaluated with Kaplan-Meier survival curves and log-rank tests. Results This study involved 3632 adult male participants with a median follow-up of 6.5 years,during which 320 AMR occurred(8.8%). Cox univariate analysis indicated that TT,FT and SHBG were risk factors for AMR(P＜0.001). Cox multivariate analysis revealed that FT and SHBG were independent risk factors for AMR(FT:HR=0.90,95%CI:0.86-0.94; SHBG:HR=1.01,95%CI:1.01-1.02). RCS revealed a U-shaped nonlinear relationship between TT,FT and AMR(P＜0.001); SHBG showed a positive dose-response relationship with AMR(P＜0.001). The AUCs of FT predicting the 5-year,10-year,and 15-year AMR were 0.78(95%CI:0.73-0.82),0.80(95%CI:0.76-0.84),and 0.84(95%CI: 0.80-0.88),respectively,significantly outperforming other indicators. Subgroup analysis revealed that FT was negatively correlated with male AMR,but this association was modulated by age,race,smoking status and diabetes status(P_(interaction)＜0.05). Kaplan-Meier survival analysis showed that different levels of TT and FT(Q1-Q4)were significantly positively correlated with survival rate(P＜0.001),while different levels of SHBG were significantly negatively correlated with survival rate,with patients in the Q4 group having the highest risk of death(P＜0.001). Conclusion Based on US NHANES,studies have shown that the FT and SHBG are independent risk factors for male AMR,and FT demonstrates greater predictive value for male AMR than TT.

Background Polycyclic aromatic hydrocarbons (PAHs) readily adsorb onto the surface of fine particulate matter (PM_2.5) and are representative components of organic pollutants in the atmosphere. PAHs are known for their significant carcinogenic, teratogenic, and mutagenic toxicity, and long-term exposure to PAHs has adverse effects on human health. Objective To investigate the concentration, composition, and pollution sources of 16 priority PAHs in PM_{2. 5} of Yanta District, Xi'an, and to evaluate the associated health risks. Methods PM_2.5 samples were collected from March 2023 to February 2024. The concentrations of 16 PAHs (ΣPAHs) were determined by high performance liquid chromatography (HPLC). Diagnostic ratios (DR) and positive matrix factorization (PMF) were used to identify the sources of PAHs. Pearson correlation analysis was applied to examine the relationship between PAHs concentrations and meteorological factors. Furthermore, the toxicity of individual PAHs was converted into benzo[a]-pyrene (BaP) toxicity equivalents to calculate the toxicity of total PAHs. An incremental lifetime carcinogenic risk (ILCR) model was established to evaluate the health risks of PAHs inhalation across different demographic groups. Results The average concentration of ΣPAHs in PM_2.5 of Yanta District, Xi'an followed a seasonal descending order: winter (15.71 ng·m⁻³) > spring (5.55 ng·m⁻³) > autumn (4.34 ng·m⁻³) > summer (1.47 ng·m⁻³). The relative abundances of PAHs in PM_2.5 varied significantly by ring number, 4-ring PAHs accounted for the largest proportion, followed by 5-ring, 3-ring and 6-ring PAHs, while 2-ring PAHs were the least abundant. This ring distribution pattern remained consistent across seasons. The contribution rates of different emission sources to ΣPAHs concentration exhibited seasonal variations. Source apportionment revealed that industrial and traffic emissions were major contributors in spring; traffic emissions dominated in summer and autumn; and coal, natural gas, and biomass combustion were the predominant sources in winter. Correlation analysis showed that ΣPAHs concentration was highly positively correlated with atmospheric pressure and negatively correlated with temperature, but not significantly correlated with precipitation, wind speed, solar radiation, and relative humidity. The ILCR model indicated significant seasonal differences (winter > spring > autumn > summer) in inhalation health risks between adults and children, primarily due to variations in inhalation rates and body weight. Adults faced higher health risks than children across all seasons. Conclusion PAHs pollution in PM_2.5 of Yanta District, Xi 'an is primarily driven by traffic emissions and the combustion of coal, natural gas, and biomass. PAHs concentrations are significantly influenced by meteorological factors, particularly air pressure, and temperature. Inhalation exposure poses distinct health risks to adults in winter. To effectively reduce ΣPAHs concentrations and mitigate air pollution, emission controls on winter coal combustion should be prioritized.

Background: Alzheimer’s disease (AD) is the most prevalent neurodegenerative disorder. Cellular drug screening represents a key approach in the preclinical discovery of AD therapeutics. Moreover, selecting an appropriate cellular model is essential for exploring the mechanisms underlying AD pathogenesis. Objective: This study aimed to establish a progressive strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery for the development of novel therapeutics targeting AD. Methods: A novel AD12 cell line stably expressing the double-transgenic genes amyloid precursor protein (APP)695/presenilin 1(PS1)-ΔE9 was first constructed and subjected to lipopolysaccharide (LPS) stimulation. The resulting LPS-induced neuroinflammatory response was characterized using metabolomic analysis. Subsequently, 16 alkaloids derived from traditional Chinese medicine(TCM) were screened with the LPS-AD12 cell model. Molecular docking was then performed to assess the binding affinity of benzoylaconitine (BAC) with APP and PS1 proteins. A targeted metabolomics approach focusing on amino acids and the tricarboxylic acid (TCA) cycle was applied to BAC-treated LPS-AD12 cells. Finally, aconite extract was administered to five-familial-AD-mutations(5xFAD) transgenic mice, and therapeutic efficacy was evaluated through phenotypic and metabolomic analyses. Results: LPS stimulation induced neuroinflammation in AD12 cells, characterized by elevated levels of interleukin-6, amyloid-β (Aβ ), and PS1. The primary metabolic pathways affected in AD12 cells included alanine, aspartate, and glutamate metabolism, as well as arginine biosynthesis. Notably, BAC significantly reduced the levels of Aβ and interleukin-6 in LPS-AD12 cells. Furthermore, molecular docking analyses revealed a strong binding affinity of BAC with APP and PS1 proteins. Targeted metabolomics analysis indicated that the pharmacological activity of BAC was primarily associated with its anti-inflammatory effects, modulation of the cholinergic signaling pathway, and regulation of energy metabolism. Behavioral experiments in 5xFAD mice, together with immunofluorescence assessments of brain tissues (amyloid-β, glial fibrillary acidic protein, and ionized calcium-binding adapter molecule 1), demonstrated that aconite extract treatment significantly alleviated AD-related symptoms. In addition, metabolomics-based mechanistic analyses revealed that serine, acetylcholine, ornithine, and gamma-aminobutyric acid exhibited consistent trends in both brain tissue and serum samples from treated mice. Conclusion: This study established a novel AD12 cell model and an effective, reliable LPS-induced cell-based screening system. Additionally, we proposed a new drug discovery strategy integrating cell model construction, monomer evaluation, and effective component group-based drug discovery. This screening system has the potential to accelerate the identification of anti-AD agents and provides a feasible framework for subsequent in-depth investigations into new drug development from TCM, thereby contributing to the modernization of TCM-derived therapeutics.

ObjectiveTo investigate the effects of Yifei Zhuji formula （YFZJF） on epithelial-mesenchymal transition （EMT） in non-small cell lung cancer （NSCLC） through regulation of phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway. MethodsThe Lewis lung carcinoma mouse model and human lung adenocarcinoma PC-9 cell model were used in this study. In the animal experiments， 60 C57BL/6 mice were randomized into a blank group and a Lewis lung carcinoma modeling group. The modeled mice were further randomized into model， low-， medium-， and high-dose （7.475， 14.95， 29.9 g·kg^-1·d^-1， respectively） YFZJF， and cisplatin groups， with 10 mice in each group. Mice in YFZJF groups were administrated with YFZJF at different doses by gavage， and those in the cisplatin group received intraperitoneal injection of cisplatin at 6 mg·kg^-1. Mice in the blank group and model group were administrated with equal volumes of normal saline by gavage every day. All the groups were treated for 14 consecutive days， and samples were collected for analysis after completion of treatment. Changes in body mass， tumor volume， and tumor mass were measured. Hematoxylin-eosin （HE） staining was performed to observe pathological changes in the lung tissue. Immunohistochemistry， Real-time PCR， and Western blot were employed to determine the expression of proliferating cell nuclear antigen （Ki-67）， PI3K/Akt/mTOR signaling pathway-related molecules， and EMT-related molecules in the tumor tissue. In the cell experiments， human lung adenocarcinoma PC-9 cells were allocated into control， YFZJF-containing serum， and cisplatin groups， which were treated with 20% blank rat serum， 20% YFZJF-containing rat serum， and 5.4 μmol·L^-1 cisplatin for 48 h， respectively. The cell counting kit-8 （CCK-8） assay was adopted to detect cell proliferation and determine drug concentration. Cell scratch assay and Transwell assay were employed to evaluate cell migration and invasion. Immunofluorescence staining and Real-time PCR were used to analyze changes in expression of EMT markers. ResultsCompared with those in the model group， the tumor volume and tumor mass were reduced in the high-dose YFZJF group （P<0.01）. Immunohistochemical results showed that compared with the model group， the medium- and high-dose YFZJF groups exhibited reduced Ki-67 expression in the tumor tissue （P<0.01）. HE staining results showed that YFZJF alleviated the pathological injury of the lung tissue to different degrees. Real-time PCR results in the tumor tissue showed that compared with the model group， the high-dose YFZJF group displayed downregulated mRNA levels of protein kinase B1 （Akt1） and N-cadherin （P<0.05）， phosphatidylinositol 3-kinase p85 regulatory subunit （p85） （P<0.01）， mTOR （P<0.01）， and Vimentin （P<0.01）， and an upregulated mRNA level of E-cadherin （P<0.01）. Western blot results showed that compared with the model group， the high-dose YFZJF group exhibited downregulated protein levels of phosphorylated （p）-PI3K/PI3K， p-Akt/Akt， p-mTOR/mTOR， Vimentin， and N-cadherin （P<0.01）， and an upregulated protein level of E-cadherin （P<0.01） in the tumor tissue. The cell experiment results showed that compared with the blank serum group， YFZJF-containing serum inhibited the proliferation， migration， and invasion of PC-9 cells （P<0.05， P<0.01）. Immunofluorescence results showed that compared with the control group， YFZJF-containing serum downregulated the protein levels of N-cadherin and Vimentin and upregulated the protein level of E-cadherin （P<0.01）. Real-time PCR results showed that compared with the control group， YFZJF-containing serum upregulated the mRNA level of E-cadherin （P<0.05） and downregulated the mRNA levels of N-cadherin， Vimentin， P85， Akt1， and mTOR （P<0.05， P<0.01）. ConclusionYFZJF can significantly inhibit the progression of non-small cell lung cancer and reduce the migration and invasion of tumor cells by inhibiting the abnormal activation of PI3K/Akt/mTOR signaling pathway and reversing EMT.

Animal experiments are an essential component of life sciences and medical research. However, the external validity and reliability of individual animal studies are frequently challenged by inherent limitations such as small sample sizes, high design heterogeneity, and poor reproducibility, which impede the effective translation of research findings into clinical practice. Systematic reviews and meta-analysis represent a key methodology for integrating existing evidence and enhancing the robustness of conclusions. Currently, however, the application of systematic reviews and meta-analysis in the field of animal experiments lacks standardized guidelines for their conduct and reporting, resulting in inconsistent quality and, to some extent, diminishing their evidence value. To address this issue, this paper aims to systematically delineate the reporting process for systematic reviews and meta-analysis of animal experiments and to propose a set of standardized recommendations that are both scientific and practical. The article's scope encompasses the entire process, from the preliminary preparatory phase [including formulating the population， intervention， comparison and outcome （PICO） question, assessing feasibility, and protocol pre-registration] to the key writing points for each section of the main report. In the core methods section, the paper elaborates on how to implement literature searches, establish eligibility criteria, perform data extraction, and assess the risk of bias, based on the Preferred Reporting Items for Systematic Reviews and Meta-analysis （PRISMA) statement, in conjunction with relevant guidelines and tools such as Animal Research： Reporting of in Vivo Experiments （ARRIVE) and a risk of bias assessment tool developed by the Systematic Review Centre for Laboratory Animal Experimentation (SYRCLE). For the presentation of results, strategies are proposed for clear and transparent display using flow diagrams and tables of characteristics. The discussion section places particular emphasis on how to scientifically interpret pooled effects, thoroughly analyze sources of heterogeneity, evaluate the impact of publication bias, and cautiously discuss the validity and limitations of extrapolating findings from animal studies to clinical settings. Furthermore, this paper recommends adopting the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology to comprehensively grade the quality of evidence. Through a modular analysis of the entire reporting process, this paper aims to provide researchers in the field with a clear and practical guide, thereby promoting the standardized development of systematic reviews and meta-analysis of animal experiments and enhancing their application value in scientific decision-making and translational medicine.