ObjectiveTo explore the mechanism by which Banxia Xiexin Tang （BXT） regulates the advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） signaling pathway to reduce neuroinflammatory responses and ameliorate cognitive dysfunction in the rat model of vascular dementia （VD）. MethodsThe components of BXT were detected by ultra performance liquid chromatography-quadrupole -orbitrap-tandem mass spectrometry（UPLC-Q-Orbitrap-MS/MS）， and the core components and key action pathways were screened out by network pharmacology and molecular docking. Sixty SPF-grade male SD rats were randomly allocated into the sham and modeling groups by the random number table method. The VD model was replicated by the modified bilateral occlusion of the common carotid arteries （2-VO） method. The successfully modeled rats were randomly allocated into the model， low-， medium-， and high-dose （3.748 5， 7.497， 14.994 g·kg^-1） BXT （BXT-L， BXT-M， and BXT-H）， and nimodipine （NMP， 0.002 7 g·kg^-1） groups according to the random number table method. The rats in the drug intervention groups were administrated with corresponding drugs by gavage， and the sham and model groups received the same amount of normal saline for 14 consecutive days. The Morris water maze， Y-maze， and new object recognition experiments were conducted to evaluate the cognitive dysfunction of rats. Hematoxylin-eosin （HE） staining was used to evaluate the histopathological changes of the hippocampal tissue in rats. The mRNA levels of AGE， RAGE， and phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65） in the hippocampal tissue of rats were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expression of related proteins in the AGE/RAGE pathway in the hippocampal tissue of rats was determined by Western blot and immunohistochemistry （IHC）. The levels of neurotransmitters and inflammatory mediators in the rat serum were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsThe chemical components of BXT were detected by UPLC-Q-Orbitrap-MS/MS. Network pharmacology and molecular docking identified the AGE/RAGE pathway as the key pathway. The results of the water maze， Y maze， and novel object recognition tests showed that compared with the sham group， the model group demonstrated prolonged successful latency and decreases in number of platform crossings， alternation rate， number of entries into the new arm， preference index， and discrimination index （P0.01）. Compared with the model group， the BXT-H and BXT-M groups showed shortened successful latency （P0.01） and increases in number of platform crossings （P0.05）， alternation rate （P0.01）， number of entries into the new arm （P0.05）， preference index （P0.01）， and discrimination index （P0.01）. HE results showed that compared with the sham group， the cells of model rats were loosely and disorderly arranged， and the nuclei were condensed. Compared with the model group， the pathological changes of the hippocampus in the BXT group were mitigated. Real-time PCR results showed that compared with the sham group， the model group presented up-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 in the hippocampus （P0.01）， and compared with the model group， the BXT-H and BXT-M groups showcased down-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 （P0.01）. Western blot results showed that compared with the sham group， the model group presented up-regulated expression of AGE， RAGE， p-NF-κB p65， and tumor necrosis factor-α （TNF-α） （P0.05）， and compared with the model group， the BXT-H group presented down-regulated expression of AGE， RAGE， p-NF-κB p65， and TNF-α （P0.05）. IHC results showed that compared with the sham group， the model group had increased expression of RAGE （P0.01）， and compared with the model group， the BXT-H and BXT-M groups had reduced expression of RAGE （P0.01）. ELISA results showed that compared with the sham group， the model group exhibited elevated levels of TNF-α and Interleukin-1β （IL-1β） and declined levels of acetylcholine （ACh） and dopamine （DA） in the serum （P0.01）. Compared with the model group， the BXT-L， BXT-M， and BXT-H groups showed lowered levels of TNF-α and IL-1β in the serum （P0.05） and elevated levels of ACh and DA （P0.05）. ConclusionBXT may ameliorate cognitive dysfunction in the rat model of VD by down-regulating the AGE/RAGE signaling pathway， reducing neuroinflammatory responses， and regulating neurotransmitter levels.

ObjectiveTo explore the mechanism by which Banxia Xiexin Tang （BXT） regulates the advanced glycation end products （AGE）/receptor for advanced glycation end products （RAGE） signaling pathway to reduce neuroinflammatory responses and ameliorate cognitive dysfunction in the rat model of vascular dementia （VD）. MethodsThe components of BXT were detected by ultra performance liquid chromatography-quadrupole -orbitrap-tandem mass spectrometry（UPLC-Q-Orbitrap-MS/MS）， and the core components and key action pathways were screened out by network pharmacology and molecular docking. Sixty SPF-grade male SD rats were randomly allocated into the sham and modeling groups by the random number table method. The VD model was replicated by the modified bilateral occlusion of the common carotid arteries （2-VO） method. The successfully modeled rats were randomly allocated into the model， low-， medium-， and high-dose （3.748 5， 7.497， 14.994 g·kg^-1） BXT （BXT-L， BXT-M， and BXT-H）， and nimodipine （NMP， 0.002 7 g·kg^-1） groups according to the random number table method. The rats in the drug intervention groups were administrated with corresponding drugs by gavage， and the sham and model groups received the same amount of normal saline for 14 consecutive days. The Morris water maze， Y-maze， and new object recognition experiments were conducted to evaluate the cognitive dysfunction of rats. Hematoxylin-eosin （HE） staining was used to evaluate the histopathological changes of the hippocampal tissue in rats. The mRNA levels of AGE， RAGE， and phosphorylated nuclear factor-kappa B p65 （p-NF-κB p65） in the hippocampal tissue of rats were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The expression of related proteins in the AGE/RAGE pathway in the hippocampal tissue of rats was determined by Western blot and immunohistochemistry （IHC）. The levels of neurotransmitters and inflammatory mediators in the rat serum were measured by enzyme-linked immunosorbent assay （ELISA）. ResultsThe chemical components of BXT were detected by UPLC-Q-Orbitrap-MS/MS. Network pharmacology and molecular docking identified the AGE/RAGE pathway as the key pathway. The results of the water maze， Y maze， and novel object recognition tests showed that compared with the sham group， the model group demonstrated prolonged successful latency and decreases in number of platform crossings， alternation rate， number of entries into the new arm， preference index， and discrimination index （P<0.01）. Compared with the model group， the BXT-H and BXT-M groups showed shortened successful latency （P<0.01） and increases in number of platform crossings （P<0.05）， alternation rate （P<0.01）， number of entries into the new arm （P<0.05）， preference index （P<0.01）， and discrimination index （P<0.01）. HE results showed that compared with the sham group， the cells of model rats were loosely and disorderly arranged， and the nuclei were condensed. Compared with the model group， the pathological changes of the hippocampus in the BXT group were mitigated. Real-time PCR results showed that compared with the sham group， the model group presented up-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 in the hippocampus （P<0.01）， and compared with the model group， the BXT-H and BXT-M groups showcased down-regulated mRNA levels of AGE， RAGE， and p-NF-κB p65 （P<0.01）. Western blot results showed that compared with the sham group， the model group presented up-regulated expression of AGE， RAGE， p-NF-κB p65， and tumor necrosis factor-α （TNF-α） （P<0.05）， and compared with the model group， the BXT-H group presented down-regulated expression of AGE， RAGE， p-NF-κB p65， and TNF-α （P<0.05）. IHC results showed that compared with the sham group， the model group had increased expression of RAGE （P<0.01）， and compared with the model group， the BXT-H and BXT-M groups had reduced expression of RAGE （P<0.01）. ELISA results showed that compared with the sham group， the model group exhibited elevated levels of TNF-α and Interleukin-1β （IL-1β） and declined levels of acetylcholine （ACh） and dopamine （DA） in the serum （P<0.01）. Compared with the model group， the BXT-L， BXT-M， and BXT-H groups showed lowered levels of TNF-α and IL-1β in the serum （P<0.05） and elevated levels of ACh and DA （P<0.05）. ConclusionBXT may ameliorate cognitive dysfunction in the rat model of VD by down-regulating the AGE/RAGE signaling pathway， reducing neuroinflammatory responses， and regulating neurotransmitter levels.

Existing nucleos（t）ide analogues and pegylated interferon exhibit limited efficacy in the functional cure of hepatitis B. Recently， small nucleic acid drugs， such as antisense oligonucleotides and small interfering RNAs， have brought unprecedented breakthroughs in the functional cure of hepatitis B with their brand-new mechanisms of action and remarkable efficacy in early clinical studies. Small nucleic acid drugs， such as antisense oligonucleotides and small interfering RNAs， can reduce the level of HBsAg and strive to achieve HBsAg seroclearance. The reduction in HBsAg may restore the hepatitis B-specific immune function of the body to some extent and may further transform the simple clearance of HBsAg into hard endpoints with clinical value， such as reducing hepatitis B-related liver events. By meticulously analyzing the dynamic trajectory of HBsAg alterations within the context of new drug applications and further optimizing combined treatment strategies and regimens， it is expected to transform the functional cure of hepatitis B into the ultimate goal of improving survival rates and quality of life.

OBJECTIVE To evaluate the cost-effectiveness of finerenone combined with standard treatment regimen in the treatment of diabetic nephropathy （DN）. METHODS From the perspective of healthcare service providers， a Markov model was established to simulate the dynamic changes of each stage in DN patients who received finerenone combined with the standard treatment regimen or the standard treatment regimen alone based on the phase Ⅲ clinical trial study of finerenone for DN. Markov model was used to perform the cost-effectiveness of long-term effects and the costs of the two therapies with a simulation cycle of 4 months， a simulation period of 15 years and an annual discount rate of 5%. At the same time， one-way sensitivity analysis and probability sensitivity analysis were performed， and the stability of the results was validated. RESULTS Accumulative cost of the standard treatment regimen was 579 329.54 yuan， and the accumulative utility was 8.052 4 quality-adjusted life year （QALYs）； the accumulative cost of finerenone combined with the standard treatment regimen was 332 520.61 yuan， and the accumulative utility was 8.187 4 QALYs. Finerenone combined with the standard treatment regimen was more cost-effective. The results of one-way sensitivity analysis showed that dialysis status utility value， DN stage 3 utility value and DN stage 4 utility value had a great influence on the incremental cost-effectiveness ratio， but did not affect the robustness of the model. The results of probability sensitivity analysis showed that finerenone combined with the standard treatment regimen was more cost-effective with 100% probability. CONCLUSIONS For DN patients， finerenone combined with the standard treatment regimen is more cost-effective as an absolute advantage option.

Objective To investigate the suitable habitats of Phlebotomus chinensis in Gansu Province, so as provide insights into effective management of mountain-type zoonotic visceral leishmaniasis (MT-ZVL). Methods The geographical coordinates of locations where MT-ZVL cases were reported were retrieved in Gansu Province from 2015 to 2023, and data pertaining to 26 environmental variables were captured, including 19 climatic variables (annual mean temperature, mean diurnal range, isothermality, temperature seasonality, maximum temperature of the warmest month, minimum temperature of the coldest month, temperature annual range, mean temperature of the wettest quarter, mean temperature of the driest quarter, mean temperature of the warmest quarter, mean temperature of the coldest quarter, annual precipitation, precipitation of the wettest month, precipitation of the driest month, precipitation seasonality, precipitation of the wettest quarter, precipitation of the driest quarter, precipitation of the warmest quarter, and precipitation of the coldest quarter), five geographical variables (elevation, annual normalized difference vegetation index, vegetation type, landform type and land use type), and two population and economic variables (population distribution and gross domestic product). Twelve species distribution models were built using the biomod2 package in R project, including surface range envelope (SRE) model, generalized linear model (GLM), generalized additive model (GAM), multivariate adaptive regression splines (MARS) model, generalized boosted model (GBM), classification tree analysis (CTA) model, flexible discriminant analysis (FDA) model, maximum entropy (MaxEnt) model, optimized maximum entropy (MAXNET) model, artificial neural network (ANN) model, random forest (RF) model, and extreme gradient boosting (XGBOOST) model. The performance of 12 models was evaluated using the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS), and Kappa coefficient, and single models with high performance was selected to build the optimal ensemble models. Factors affecting the survival of Ph. chinensis were identified based on climatic, geographical, population and economic variables. In addition, the suitable distribution areas of Ph. chinensis were predicted in Gansu Province under shared socioeconomic pathway 126 (SSP126), SSP370 and SSP585 scenarios based on climatic data during the period from 1991 to 2020, from 2041 to 2060 (2050s), and from 2081 to 2100 (2090s) . Results A total of 11 species distribution models were successfully built for prediction of potential distribution areas of Ph. chinensis in Gansu Province, and the RF model had the highest predictive accuracy (AUC = 0.998). The ensemble model built based on the RF model, XGBOOST model, GLM, and MARS model had an increased predictive accuracy (AUC = 0.999) relative to single models. Among the 26 environmental factors, precipitation of the wettest quarter (12.00%), maximum temperature of the warmest month (11.58%), and annual normalized difference vegetation index (11.29%) had the greatest contributions to suitable habitats distribution of Ph. sinensis. Under the climatic conditions from 1991 to 2020, the potential suitable habitat area for Ph. chinensis in Gansu Province was approximately 5.80 × 10⁴ km², of which the highly suitable area was 1.42 × 10⁴ km², and primarily concentrated in the southernmost region of Gansu Province. By the 2050s, the unsuitable and lowly suitable areas for Ph. chinensis in Gansu Province had decreased by varying degrees compared to that of 1991 to 2020 period, while the moderately and highly suitable areas exhibited expansion and migration. By the 2090s, under the SSP126 scenario, the suitable habitat area for Ph. chinensis increased significantly, and under the SSP585 scenario, the highly suitable areas transformed into extremely suitable areas, also showing substantial growth. Future global warming is conducive to the survival and reproduction of Ph. chinensis. From the 2050s to the 2090s, the highly suitable areas for Ph. chinensis in Gansu Province will be projected to expand northward. Under the SSP126 scenario, the suitable habitat area for Ph. chinensis in Gansu Province is expected to increase by 194.75% and 204.79% in the 2050s and 2090s, respectively, compared to that of the 1991 to 2020 period. Under the SSP370 scenario, the moderately and highly suitable areas will be projected to increase by 164.40% and 209.03% in the 2050s and 2090s, respectively, while under the SSP585 scenario, they are expected to increase by 195.98% and 211.66%, respectively. Conclusions The distribution of potential suitable habitats of Ph. sinensis gradually shifts with climatic changes. Intensified surveillance and management of Ph. sinensis is recommended in central and eastern parts of Gansu Province to support early warning of MT-ZVL.

Objective To construct a key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury, and provide a basis for the implementation of such treatment and nursing. Methods The draft of the key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury was determined by literature review, case study, and field investigation. The indicators of the system were determined through two rounds of Delphi consultation and using the precedence chart method. According to the criteria of indicator evaluation, the reliability of expert opinions, and the opinions of the research group, the indicators were refined and evaluated. Results Twenty experts were included for two rounds of consultation via mailed inquiries, with a 100% effective response rate in both rounds. The expert authority coefficients were both 0.945, and the Kendall’s W values were 0.347 and 0.448, respectively (P < 0.05). Following the expert consultations, 1 indicator was deleted, 12 indicators were added, and 6 indicators were modified. The key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury established in this study included 4 first-level indicators, 17 second-level indicators, and 73 third-level indicators. The means of importance assignment for all indicators were > 4.00, and the coefficients of variation were < 0.25. Conclusion The key technical indicator system for in-hospital treatment and nursing of patients with nuclear radiation injury established in this study is scientifically rigorous and practically grounded. The indicators demonstrate strong professional relevance and provide important guidance for in-hospital treatment and nursing of patients with nuclear radiation injury.

[摘 要] 目的：探究组蛋白去乙酰化酶（HDAC）抑制剂帕比司他对黑色素瘤生长和免疫性的影响及其机制。方法：常规培养黑色素瘤细胞B16F0，用不同浓度的帕比司他处理细胞，WB法检测帕比司他对B16F0细胞中HDAC表达的影响，CCK-8法、划痕愈合实验、Transwell实验和流式细胞术分别检测帕比司他对B16F0细胞增殖、迁移和侵袭能力，以及细胞凋亡和周期的影响。转录组学检测帕比司他对B16F0细胞基因表达的影响，用qPCR法加以验证。流式细胞术检测帕比司他对B16F0细胞表面MHC Ⅰ/Ⅱ类分子表达的影响，B16F0与骨髓来源树突状细胞（BMDC）共培养检测帕比司他对BMDC细胞表达CD11c、CD80和CD86的影响，B16F0细胞移植瘤实验检测帕比司他对移植瘤生长和裸鼠免疫功能的影响。结果：帕比司他促进B16F0细胞中组蛋白3（H3）和α-微管蛋白（α-TUB）蛋白乙酰化（P < 0.01或P < 0.001或P < 0.000 1），抑制B16F0细胞增殖、迁移和侵袭能力，促进其凋亡，并使细胞周期阻滞于G1期（P < 0.05或P < 0.001或P < 0.000 1），促进B16F0细胞表面表达MHC Ⅰ/Ⅱ类分子表达并促进共培养BMDC成熟（均P < 0.01）。转录组学检测结果显示，帕比司他促进B16F0细胞中E-cadherin和抗原提呈相关基因的表达，抑制N-cadherin、vimentin、c-Myc和CDK1的表达，qPCR法验证了这些结果。帕比司他抑制裸鼠移植瘤的生长并增强荷瘤裸鼠的免疫功能（P < 0.05, P < 0.000 1）。结论：帕比司他可抑制B16F0细胞的恶性生物学行为，促进其凋亡，调控其免疫性，增强荷瘤裸鼠的免疫功能。

ObjectiveTo investigate the relationship between the non-fasting triglyceride and glucose （TyG） index and hyperglycemia in pregnancy during the third trimester in high altitudes. MethodsThis study selected clinical and laboratory data of 774 Tibetan singleton pregnant women who delivered at Chaya People's Hospital of Qamdo city in Xizang autonomous region， from January 2023 to April 2025. The non-fasting TyG index was calculated from non-fasting triglyceride （TG） and random plasma glucose （PG）. Based on the tertiles of the non-fasting TyG index values， the individuals were split into three groups （corresponding to non-fasting TyG index of 8.89 and 9.21， respectively）. The baseline clinical characteristics， lipid levels and the occurrence of developing hyperglycemia in pregnancy were compared among the three groups. Statistical analyses were performed using ANOVA， Kruskal-Wallis H test， Chi-square test， or Fisher exact test and the relationship between the non-fasting TyG index and hyperglycemia in pregnancy were examined using multivariate logistic regression models and curve fitting. ResultsA total of 774 Tibetan singleton pregnant women were included， with a average age of 27.3 ± 6.1 years， a pre-delivery body mass index （Pre-BMI） of （25.2±2.3）kg/m² ， a proportion of 26.7% （207/774） primigravid women， the mean non-fasting TyG index was 9.1 ± 0.4。Thirty pregnant women were diagnosed with hyperglycemia in pregnancy， with a detection rate of 3.9% （30/774）. Statistically significant differences in serum total cholesterol （TC）， TG， low-density lipoprotein cholesterol （LDL-C） and high-density lipoprotein cholesterol （HDL-C） levels were identified when comparing different non-fasting TyG groups （all P values <0.05）. Subsequent trend test analysis indicated that the levels of TC， TG， LDL-C， and PG gradually increased with elevated the non-fasting TyG index （ F_{trend TC}=95.61， P<0.001； F_{trend TG}=1 051.91， P<0.001； F_{trend LDL-C} = 97.20， P < 0.001； F_{trend TG}=195.20； P<0.001）. After adjustment for maternal age， pre-delivery BMI， altitude， TC， LDL-C， and HDL-C， multivariate Logistic regression models revealed independent positive associations between non-fasting TyG index and hyperglycemia in pregnancy （Model 1： OR=2.72， 95% CI： 1.13-6.53， P=0.026； Model 2： OR=2.56， 95% CI： 1.01-6.50， P=0.048； Model 3： OR=2.72， 95% CI： 1.06-6.97， P=0.037； Model 4： OR=4.02， 95% CI： 1.42-11.40， P=0.009） and the incident of hyperglycemia in pregnancy showed an increasing tendency as increasing with the non-fasting TyG index， however， this association did not statistical significance （P _trend >0.05）. Curve fitting by restricted cubic splines （RCS） were used to assess linearity between non-fasting TyG and hyperglycemia in pregnancy， and there was a linear dose-response relationship between non-fasting TyG and hyperglycemia in pregnancy （P _{for non-linear} = 0.515）. ConclusionNon-fasting TyG index in the third trimester is a risk factor for hyperglycemia in pregnancy among the Tibetan singleton pregnant women at high altitudes and there was a possible linear dose-response relationship between the non-fasting TyG index and hyperglycemia in pregnancy.

BACKGROUND: Metabolic-associated fatty liver disease (MAFLD) is the predominant form of chronic liver disease worldwide. This study was designed to investigate the proportion and characteristics of MAFLD within the general Chinese population and to identify the contributory risk factors for liver fibrosis among MAFLD individuals. METHODS: The participants were recruited from a cohort undergoing routine health evaluations at the Third Hospital of Hebei Medical University between May 2019 and March 2023. The diagnosis of MAFLD was based on the established clinical practice guidelines. The fibrosis-4 index score (FIB-4) was employed to evaluate hepatic fibrosis, with a FIB-4 score of ≥1.3 indicating significant fibrosis. Binary logistic regression analyses were used to determine risk factors associated with significant hepatic fibrosis in MAFLD. RESULTS: A total of 22,970 participants who underwent comprehensive medical examinations were included in the analysis. The overall proportion of MAFLD was 28.77% (6608/22,970), with 16.87% (1115/6608) of these patients showing significant fibrosis as assessed using FIB-4. Independent risk factors for significant liver fibrosis in MAFLD patients were male (odds ratio [OR] = 0.676, 95% confidence interval [CI]: 0.558-0.821), hepatitis B surface antigen (HBsAg) positivity (OR = 2.611, 95% CI: 1.557-4.379), body mass index ≥23.00 kg/m 2 (OR = 0.632, 95% CI: 0.470-0.851), blood pressure ≥130/85 mmHg (OR = 1.885, 95% CI: 1.564-2.272), and plasma glucose ≥5.6 mmol/L (OR = 1.815, 95% CI: 1.507-2.186) (all P <0.001). CONCLUSIONS The proportion of MAFLD in an urban Chinese population is 28.77%. About 16.87% of MAFLD patients presented with significant liver fibrosis. Independent risk factors for significant liver fibrosis in MAFLD patients should be noticed.
Humans ; Male ; Female ; Liver Cirrhosis/pathology* ; Middle Aged ; Risk Factors ; Adult ; Fatty Liver/pathology* ; Aged ; China/epidemiology* ; Logistic Models ; Urban Population ; East Asian People

This study aimed to explore the pharmacological mechanism of Yourenji Capsules(YRJ) in improving osteoporosis by combining network pharmacology and proteomics technologies. The SD rats were randomly divided into a blank control group and a 700 mg·kg~(-1) YRJ group. The rats were subjected to gavage administration with the corresponding drugs, and the blank serum, drug-containing serum, and YRJ samples were compared using ultra performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS/MS) to analyze the main components absorbed into blood. Network pharmacology analysis was conducted based on the YRJ components absorbed into blood to obtain related targets of the components and target genes involved in osteoporosis, and Venn diagrams were used to identify the intersection of drug action targets and disease targets. The STRING database was used for protein-protein interaction(PPI) network analysis of potential target proteins to construct a PPI network. Gene Ontology(GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment were performed using Enrichr to investigate the potential mechanism of action of YRJ. Ovariectomy(OVX) was performed to establish a rat model of osteoporosis, and the rats were divided into a sham group, a model group, and a 700 mg·kg~(-1) YRJ group. The rats were given the corresponding drugs by gavage. The femurs of the rats were subjected to label-free proteomics analysis to detect differentially expressed proteins, and GO functional enrichment and KEGG pathway enrichment analyses were performed on the differentially expressed proteins. With the help of network pharmacology and proteomics results, the mechanism by which YRJ improves osteoporosis was predicted. The analysis of the YRJ components absorbed into blood revealed 23 bioactive components of YRJ, and network pharmacology results indicated that key targets involved include tumor necrosis factor(TNF), tumor protein p53(TP53), protein kinase(AKT1), and matrix metalloproteinase 9(MMP9). These targets are mainly involved in osteoclast differentiation, estrogen signaling pathways, and nuclear factor-kappa B(NF-κB) signaling pathways. Additionally, the proteomics analysis highlighted important pathways such as peroxisome proliferator-activated receptor(PPAR) signaling pathways, mitogen-activated protein kinase(MAPK) signaling pathways, and β-alanine metabolism. The combined approaches of network pharmacology and proteomics have revealed that the mechanism by which YRJ improves osteoporosis may be closely related to the regulation of inflammation, osteoblast, and osteoclast metabolic pathways. The main pathways involved include the NF-κB signaling pathways, MAPK signaling pathways, and PPAR signaling pathways, among others.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Osteoporosis/metabolism* ; Proteomics ; Rats ; Rats, Sprague-Dawley ; Network Pharmacology ; Female ; Protein Interaction Maps/drug effects* ; Capsules ; Humans ; Signal Transduction/drug effects*