Background Carbendazim (CBZ), a widely used benzimidazole fungicide, has raised increasing concerns regarding the health risks associated with its residues. However, the toxic effects and associated mechanisms of CBZ on the skeletal system have not been reported. Objective To elucidate the effects of carbendazim on osteogenic differentiation and its underlying mechanisms. Methods MC3T3-E1 mouse pre-osteoblastic cells were treated with 1, 10, and 100 μmol·L⁻¹ CBZ for 24 h to examine cell viability, alkaline phosphatase (ALP) activity, bone nodule formation, reactive oxygen species (ROS) level, malondialdehyde (MDA) content, and nitric oxide synthase (NOS) activity. Transcriptomics was used to identify differentially expressed genes (DEGs) in osteoblasts exposed to CBZ. Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene set enrichment analysis (GSEA) were employed to analyze the potential biological pathways of DEGs. Real-time polymerase chain reaction (RT-PCR) and Western blot were used to validate changes in gene and protein expression. Results Exposure to 10 and 100 μmol·L⁻¹ CBZ significantly reduced osteoblast viability, ALP activity, bone nodule formation, and NOS activity, while increasing intracellular ROS levels. CBZ at 100 μmol·L⁻¹ concentration significantly elevated MDA level (P < 0.05). The transcriptomic analysis revealed that 1 μmol·L⁻¹ CBZ treatment resulted in 385 significantly DEGs. The KEGG enrichment analysis revealed that CBZ significantly affects hormone regulation pathways (including parathyroid hormone, growth hormone, dopamine, and oxytocin), mitogen-activated protein kinase (MAPK) and cyclic GMP-dependent protein kinase G (cGMP-PKG) signaling pathways, focal adhesion and adherens junction, as well as the NOD-like receptor signaling pathway and the mRNA surveillance (NMD) pathway. The results of GSEA showed that CBZ significantly inhibited the bile acid metabolism and the Wnt/β-catenin pathway in osteoblasts. The validation results demonstrated that CBZ significantly suppressed the mRNA expression of Wnt3a and β-catenin, as well as the protein expression of Runx2 and Osterix in the Wnt/β-catenin pathway. Conclusion CBZ exposure exhibits potential skeletal toxicity, and its mechanism is through promoting oxidative stress, interfering with the Wnt/β-catenin pathway in osteogenic differentiation, thereby inhibiting the bone formation function of osteoblasts.

Objective: Patients with atherosclerotic cardiovascular disease (ASCVD) following percutaneous coronary intervention (PCI) are classified as very-high-risk individuals in cardiovascular disease (CVD) risk stratification. The distribution pattern of traditional Chinese medicine (TCM) syndromes in this patient population, as well as its association with blood lipid profiles and clinical prognosis, remains unclear. The present prospective cohort study aims to investigate these correlations, thereby providing insights to enrich the research fields. Methods: We enrolled consecutive patients with ASCVD who underwent PCI at the Integrated Cardiology Unit of China-Japan Friendship Hospital between September 1, 2020 and December 31, 2022. Demographics and clinical characteristics, signs and symptoms defining each TCM syndrome, and fasting venous blood samples were collected at baseline and follow up or upon major adverse cardiovascular events (MACEs). We analyzed the correlation between TCM syndromes, blood lipid profiles, and MACEs, and developed a new joint prognostic model incorporating both TCM syndromes and blood lipids using logistic regression. The analyses were based on detailed baseline and one-year follow-up data. Results: A per-protocol analysis was performed on 586 patients with complete data ultimately. During the one-year follow-up, 174 patients (29.69%) experienced a MACE. We performed statistical analyses on comorbidities, medication, and biochemical indicators across groups defined by TCM syndrome differentiation. When comparing different TCM syndromes, no significant differences were found in age, body mass index (BMI), history of revascularization, comorbidities, family history of CVD, smoking or drinking, or statin intensity (P > 0.05). Patients with intertwined phlegm and blood stasis syndrome exhibited significantly higher levels of total cholesterol (TC, 5.27 ± 1.18 mmol/L, P < 0.001), triglyceride (TG, 1.96 ± 1.33 mmol/L, P = 0.008), low-density lipoprotein cholesterol (LDL-C, 3.35 ± 0.79 mmol/L, P < 0.001), and high-density lipoprotein cholesterol (HDL-C, 1.24 ± 0.81 mmol/L, P < 0.001) compared with those with other TCM syndromes combined. A multivariable logistic regression model was constructed to predict MACEs. The model included TCM syndrome type [with intertwined phlegm and blood stasis as a predictor, adjusted odds ratio (OR) = 1.413, 95% confidence interval (CI): 0.517 – 3.864, P = 0.501], age (adjusted OR = 0.97, 95% CI: 0.955 – 1.001, P = 0.057), male gender (adjusted OR = 0.698, 95% CI: 0.416 – 1.170, P = 0.173), TC (adjusted OR = 1.004, 95% CI: 0.513 – 1.965, P = 0.990), and LDL-C (adjusted OR = 5.825, 95% CI: 2.214 – 15.326, P < 0.001). This model demonstrated good discriminatory ability for MACEs in post-PCI ASCVD patients [the area under the receiver operating characteristic (ROC) curve (AUC) = 0.865, 95% CI: 0.816 – 0.914]. Conclusion The intertwined phlegm and blood stasis TCM syndrome is associated with a distinct atherogenic lipid profile characterized by elevated levels of TC and LDL-C. The prognostic model that incorporates this TCM syndrome type along with conventional lipid parameters (TC and LDL-C) shows good discriminatory ability for predicting MACEs in ASCVD patients after PCI, underscoring the potential clinical utility of integrating TCM syndrome differentiation into CVD risk assessment.

This study aimed to investigate the effect and underlying mechanisms of Zexie Decoction against liver injury in rats with hyperlipidemic acute pancreatitis(HLAP). The network pharmacology-related databases were used to screen the active components and potential targets of Zexie Decoction, as well as the disease targets of HLAP. A protein-protein interaction(PPI) network of the overlapping targets was constructed. Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis and Gene Ontology(GO) functional enrichment analysis were performed on the overlapping targets. Sprague-Dawley(SD) rats were randomly divided into sham group, model group, low-dose Zexie Decoction group, and high-dose Zexie Decoction group. Enzyme-linked immunosorbent assay(ELISA) kits were used to detect serum biochemical indicators. Hematoxylin-eosin(HE) staining was used to observe the pathological morphology of the pancreas and liver tissues, while oil red O staining was employed to assess hepatic steatosis. Immunofluorescence staining was used to detect the expression of IL-1β and NLRP3 in pancreatic tissues. Western blot analysis was conducted to evaluate the expression levels of proteins related to oxidative stress, endoplasmic reticulum stress, the PI3K/AKT signaling pathway, and autophagy. Network pharmacology predictions identified 721 targets of Zexie Decoction and 2 486 targets associated with HLAP, with 279 overlapping targets. GO enrichment analysis yielded 1 112 entries, and KEGG enrichment analysis identified 179 signaling pathways. Experimental results showed that Zexie Decoction could reduce the levels of lipid metabolites, serum enzymes, and inflammatory cytokines in HLAP rats, alleviate pathological damage to the pancreas and liver, decrease hepatic lipid accumulation, and decrease the expression of IL-1β and NLRP3 in pancreatic tissues. In addition, Zexie Decoction significantly upregulated the expression of antioxidant stress-related proteins NRF2 and HO-1, downregulated the expression of endoplasmic reticulum stress-related proteins BiP, xBP1s, p-eIF2α, eIF2α, and ATF4, inhibited the expression of PI3K and phosphorylation of AKT, increased the expression of autophagy-related proteins Beclin1, ATG3, ATG5, and ATG12, and reduced the expression of p62. In conclusion, Zexie Decoction can improve HLAP, and its mechanism may be associated with alleviating oxidative stress and endoplasmic reticulum stress, inhibiting the PI3K/AKT pathway, and inducing autophagy in hepatocytes.
Animals ; Rats, Sprague-Dawley ; Drugs, Chinese Herbal/administration & dosage* ; Network Pharmacology ; Rats ; Pancreatitis/genetics* ; Hyperlipidemias/genetics* ; Male ; Liver/injuries* ; Protein Interaction Maps/drug effects* ; Signal Transduction/drug effects* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Interleukin-1beta/genetics* ; Humans

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Drug development encompasses multiple processes, wherein protein subcellular localization is essential. It promotes target identification, treatment development, and the design of drug delivery systems. In this research, a deep learning framework called LocPro is presented for predicting protein subcellular localization. Specifically, LocPro is unique in (a) combining protein representations from the pre-trained large language model (LLM) ESM2 and the expert-driven tool PROFEAT, (b) implementing a hybrid deep neural network architecture that integrates convolutional neural network (CNN), fully connected (FC) layer, and bidirectional long short-term memory (BiLSTM) blocks, and (c) developing a multi-label framework for predicting protein subcellular localization at multiple granularity levels. Additionally, a dataset was curated and divided using a homology-based strategy for training and validation. Comparative analyses show that LocPro outperforms existing methods in sequence-based multi-label protein subcellular localization prediction. The practical utility of this framework is further demonstrated through case studies on drug target subcellular localization. All in all, LocPro serves as a valuable complement to existing protein localization prediction tools. The web server is freely accessible at https://idrblab.org/LocPro/.

BACKGROUND:Parkinson's disease is a multifactorial neurological disorder characterized by progressive loss of dopaminergic neurons,and dimethyl fumarate(DMF)has potent neuroprotective and immunomodulatory effects in neurodegenerative diseases. OBJECTIVE:To explore the neuroprotective mechanism of DMF in a mouse model of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine(MPTP)-induced Parkinson's disease. METHODS:Twenty-four C57BL/6 mice were selected and randomly divided into control group,model group,low-dose DMF,and high-dose DMF groups.An animal model of Parkinson's disease was established in the latter three groups by intraperitoneal injection of 30 mg/kg MPTP,once a day for 5 consecutive days.Intragastric administration was given 30 minutes after each injection of MPTP.Mice in the low-dose DMF group(30 mg/kg)and high-dose DMF group(50 mg/kg)were intragastrically administered once a day for 7 consecutive days.The control and model groups were initially administered the same dose of normal saline.Behavioral testing,western blot,oxidative stress marker detection,and immunohistochemical staining were used to analyze the regulatory effects of DMF on oxidative stress and Keap1/Nrf2 signaling pathway in MPTP-induced Parkinson's disease mice,as well as the protective mechanism of DMF on degeneration of dopamine neurons. RESULTS AND CONCLUSION:Compared with the model group,mice in the low-dose DMF group exhibited significant improvements in motor retardation and postural imbalance(P<0.01),with even more remarkable improvements observed in the high-dose DMF group(P<0.01).Compared with the control group,the model group showed a significant increase in the oxidative stress marker malondialdehyde and a decrease in superoxide dismutase expression(P<0.01).Compared with the model group,the low-dose DMF group reduced malondialdehyde production and increased superoxide dismutase expression(P<0.01),and similar improvements were observed in the high-dose DMF group(P<0.01).Immunohistochemical and western blot assays demonstrated a significant decrease in the number of dopaminergic neurons and tyrosine hydroxylase protein expression in the substantia nigra of mice in the model group compared with the control group(P<0.01).However,in the low-dose DMF group,there was an increase in the number of dopaminergic neurons and tyrosine hydroxylase protein expression in the substantia nigra(P<0.01),with even more significant improvements in the high-dose DMF group(P<0.01).Western blot results revealed that the model group exhibited elevated Keap1 protein expression and decreased Nrf2 protein expression.In contrast,the DMF groups showed reduced Keap1 protein expression and increased Nrf2 protein expression compared to the model group(P<0.01).To conclude,DMF regulates the Keap1/Nrf2 pathway in the substantia nigra of mice with Parkinson's disease,and this regulatory effect is positively correlated with the dose of DMF(P<0.01).Therefore,we infer that DMF exerts neuroprotective effects through the Keap1/Nrf2 signaling pathway.

Objective To investigate the changes in eosinophil counts and the activation of microglial cells in the brain tissues of mice at different stages of Angiostrongylus cantonensis infection, and to examine the role of microglia in regulating the progression of angiostrongyliasis and unravel the possible molecular mechanisms. Methods Fifty BALB/c mice were randomly divided into the control group and the 7-d, 14-d, 21-day and 25-d infection groups, of 10 mice in each group. All mice in infection groups were infected with 30 stage III A. cantonensis larvae by gavage, and animals in the control group was given an equal amount of physiological saline. Five mice were collected from each of infection groups on days 7, 14, 21 d and 25 d post-infection, and 5 mice were collected from the control group on the day of oral gavage. The general and focal functional impairment was scored using the Clark scoring method to assess the degree of mouse neurological impairment. Five mice from each of infection groups were sacrificed on days 7, 14, 21 d and 25 d post-infection, and 5 mice from the control group were sacrificed on the day of oral gavage. Mouse brain tissues were sampled, and the pathological changes of brain tissues were dynamically observed using hematoxylin and eosin (HE) staining. Immunofluorescence staining with eosinophilic cationic protein (ECP) and ionized calcium binding adaptor molecule 1 (Iba1) was used to assess the degree of eosinophil infiltration and the counts of microglial cells in mouse brain tissues in each group, and the morphological parameters of microglial cells (skeleton analysis and fractal analysis) were quantified by using Image J software to determine the morphological changes of microglial cells. In addition, the expression of M1 microglia markers Fcγ receptor III (Fcgr3), Fcγ receptor IIb (Fcgr2b) and CD86 antigen (Cd86), M2 microglia markers Arginase 1 (Arg1), macrophage mannose receptor C-type 1 (Mrc1), chitinase-like 3 (Chil3), and phagocytosis genes myeloid cell triggering receptor expressed on myeloid cells 2 (Trem2), CD68 antigen (Cd68), and apolipoprotein E (Apoe) was quantified using real-time quantitative reverse transcription PCR (RT-qPCR) assay in the mouse cerebral cortex of mice post-infection. Results A large number of A. cantonensis larvae were seen on the mouse meninges surface post-infection, and many neuronal nuclei were crumpled and deeply stained, with a large number of bleeding points in the meninges. The median Clark scores of mouse general functional impairment were 0 (interquartile range, 0), 0 (interquartile range, 0.5), 6 (interquartile range, 1.0), 14 (interquartile range, 8.5) points and 20 (interquartile range, 9.0) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.45, P < 0.01), and the median Clark scores of mouse focal functional impairment were 0 (interquartile range, 0), 2 (interquartile range, 2.5), 7 (interquartile range, 3.0), 18 (interquartile range, 5.0) points and 25 (interquartile range, 6.5) points in the control group and the 7-d, 14-d, 21-d and 25-d groups, respectively (H = 22.72, P < 0.01). The mean scores of mice general and focal functional impairment were all higher in the infection groups than in the control group (all P values < 0.05). Immunofluorescence staining showed a significant difference in the eosinophil counts in mouse brain tissues among the five groups (F = 40.05, P < 0.000 1), and the eosinophil counts were significantly higher in mouse brain tissues in the 14-d (3.08 ± 0.78) and 21-d infection groups (5.97 ± 1.37) than in the control group (1.00 ± 0.28) (both P values < 0.05). Semi-quantitative analysis of microglia immunofluorescence showed a significant difference in the counts of microglial cells among the five groups (F = 17.66, P < 0.000 1), and higher Iba1 levels were detected in mouse brain tissues in 14-d (5.75 ± 1.28), 21-d (6.23 ± 1.89) and 25-d infection groups (3.70 ± 1.30) than in the control group (1.00 ± 0.30) (all P values < 0.05). Skeleton and fractal analyses showed that the branch length [(162.04 ± 34.10) μm vs. (395.37 ± 64.11) μm; t = 5.566, P < 0.05] and fractal dimension of microglial cells (1.30 ± 0.01 vs. 1.41 ± 0.03; t = 5.266, P < 0.05) were reduced in mouse brain tissues in the 21-d infection group relative to the control group. In addition, there were significant differences among the 5 groups in terms of M1 and M2 microglia markers Fcgr3 (F = 48.34, P < 0.05), Fcgr2b (F = 55.46, P < 0.05), Cd86 (F = 24.44, P < 0.05), Arg1 (F = 31.18, P < 0.05), Mrc1 (F = 15.42, P < 0.05) and Chil3 (F = 24.41, P < 0.05), as well as phagocytosis markers Trem2 (F = 21.19, P < 0.05), Cd68 (F = 43.95, P < 0.05) and Apoe (F = 7.12, P < 0.05) in mice brain tissues. Conclusions A. cantonensis infections may induce severe pathological injuries in mouse brain tissues that are characterized by massive eosinophil infiltration and persistent activation of microglia cells, thereby resulting in progressive deterioration of neurological functions.

Objectives: To elucidate the potential mechanisms of electroacupuncture (EA) in restoring detrusor-bladder neck dyssynergia (DBND) following suprasacral spinal cord injury (SSCI). Methods: A total of 52 specific pathogen-free (SPF) grade famale Sprague-Dawley (SD) rats (10 – 12 weeks, 250 – 280 g) were randomly assigned to either a sham group (n = 12) or a spinal cord injury model group (n = 40). In the model group, DBND was induced through Hassan Shaker spinal cord transection at T10 level, with 24 rats meeting inclusion criteria and subsequently randomized into DBND group (n = 12) and EA intervention group (DBND + EA group, n = 12). After spinal shock recovery (day 19 after modeling), DBND + EA group received EA treatment at Ciliao (BL32), Zhongji (RN3), and Sanyinjiao (SP6) acupoints for 20 min per session at 10/50 Hz frequencies, once daily for 10 d. Sham and DBND groups received anesthesia only without EA intervention. On day 29 post-modeling, all rats underwent urodynamic assessments, followed by hematoxylin and eosin (HE) staining, tandem mass tag (TMT) proteomics, and Western blot (WB) analysis of detrusor and bladder neck tissues. Differentially expressed proteins (DEPs) were defined as proteins with P < 0.05, unique peptides ≥ 2, and fold change > 1.2 or < 0.83. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis was performed using KOBAS 3.0 (P < 0.01), and protein-protein interaction (PPI) networks were analyzed using Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) 11.5 and Cytoscape 3.9.1. Results: Compared with sham group, DBND group showed significantly elevated leak point pressure (LPP) and maximum cystometric capacity (MCC) (both P < 0.01). EA treatment significantly reduced both LPP and MCC compared with DBND group (P < 0.01 and P < 0.05, respectively). HE staining revealed that EA reduced detrusor fibrosis and improved bladder neck inflammation. TMT proteomics identified 30 overlapping DEPs in detrusor and 59 overlapping DEPs in bladder neck when comparing DBND + EA/DBND groups with sham group. In detrusor tissue, KEGG analysis revealed 10 significantly enriched pathways (P < 0.01), including mitogen-activated protein kinase (MAPK) signaling pathway. PPI analysis showed 22 of 30 DEPs were interconnected. In bladder neck tissue, 14 pathways were significantly enriched (P < 0.01), including relaxin signaling pathway, with 51 of 59 DEPs showing interconnections. Both TMT and WB validations demonstrated that compared with sham controls, DBND rats exhibited upregulated collagen type IV alpha 2 chain (Col4a2) and downregulated guanine nucleotide-binding protein G(z) subunit alpha (Gnaz) in detrusor tissue, while EA treatment normalized both proteins (both P < 0.05). In bladder neck tissue, DBND rats showed decreased expression of smoothelin (Smtn) and calcium-activated potassium channel subunit beta-1 (Kcnmb1) compared with sham controls (both P < 0.01), which were both upregulated following EA treatment (P < 0.01 and P < 0.05, respectively). Conclusion EA restores detrusor-bladder neck coordination in DBND through dual-target mechanisms. In detrusor tissue, EA modulates contraction via extracellular matrix remodeling, cyclic adenosine monophosphate (cAMP) signaling pathway regulation, and enhanced adenosine triphosphate (ATP) biosynthesis mediated by neurotransmitters. In bladder neck tissue, EA promotes relaxation by maintaining contractile phenotypes, reducing fibrosis, suppressing smooth muscle excitation, and regulating presynaptic neurotransmitter release. These findings provide mechanistic insights into EA's therapeutic role in managing DBND.

Background With the progression of industrialization, an increasing number of emerging contaminants are entering aquatic environments, posing significant threats to the safety of drinking water. Therefore, establishing a system for identifying unknown hazardous factors and implementing safety warning mechanisms for drinking water is of paramount importance. Among these efforts, non-target screening plays a critical role, but its effectiveness is largely constrained by the scope of coverage of sample pre-treatment methods. Objective To integrate modern chromatography/mass spectrometry techniques with advanced data mining methods to develop a non-discriminatory sample pre-treatment method for comprehensive enrichment of unknown contaminants in drinking water, laying a technical foundation for the discovery and identification of unknown organic hazardous factors in drinking water. Methods A non-discriminatory pre-treatment method based on supramolecular and solid-phase extraction was developed. The final target compounds including 333 pesticides, 194 pharmaceuticals and personal care products (PPCPs), and 59 per- and polyfluoroalkyl substances (PFASs) were used for optimizing the pre-treatment method, confirming its coverage. The impacts of different eluents on the absolute recovery rates of target compounds were compared to select the conditions with the highest recovery for sample pre-treatment. The effects of different supramolecular solvents and salt concentrations on target compound recovery were also evaluated to determine the most suitable solvent and salt concentration. Results The solid-phase extraction elution solvents, supramolecular extraction solvents, and salt concentrations were optimized based on the target compound recovery rates. The optimal recovery conditions were achieved using 2 mL methanol, 2 mL methanol (containing 1% formic acid), 2 mL ethyl acetate, 2 mL dichloromethane, hexanediol supramolecular solvent, and 426 mg salt. The detection method developed based on these conditions showed a good linear relationship for all target compounds in the range of 0.1-100.0 ng·mL⁻¹, with R² > 0.99. The method’s limit of detection ranged from 0.01 ng⁻¹ to 0.95 ng⁻¹, and 95% of target compounds were recovered in the range of 20%-120%, with relative standard deviation (RSD) less than 30%, indicating good precision. Conclusion The combined pre-treatment method of solid-phase extraction and supramolecular solvent extraction can effectively enrich contaminants in drinking water across low, medium, and high polarities, enabling broad-spectrum enrichment of diverse trace contaminants in drinking water. It provides technical support for broad-spectrum, high-throughput screening and identification of organic pollutants in drinking water, and also serves as a reference for establishing urban drinking water public safety warning systems.

Objective To clarify the current development status and research hotspots in the field of experimental drug management in China through data mining by bibliometric. Methods Key words such as “experiment”, “drug”, and “management” were used to search the Chinese literature in China National Knowledge Infrastructure （CNKI）. The title, author name, author affiliation, Chinese abstract, Chinese keywords, publication period, journal name, and other content of the literature were extracted from the literature. Cluster analysis was performed by CNKI literature visualization analysis system, CiteSpace and other software, and a network knowledge map was drawn. Results The literature in the field of experimental drug management in China was first published in 1994, and a total of 140 articles were published until 2022. Among them, 20 articles were supported by relevant funds, and the keyword co-occurrence frequency was highest among “subjects”. The most frequently published medium was the Chinese Pharmacological Yearbook. Conclusion At present, the quantity and quality of literature in the field of experimental drug management in China were relatively small, and the cooperation and communication among authors were not close. The funding from various fund projects in this field was also lacking. These factors led to a lower overall development level and slower development speed in this field.