The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

In this study, ultra-performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry(UPLC-Q-TOF-MS~E) was used to analyze the plasma components of Danzhi Xiaoyao Formula after oral administration. Forty-nine plasma components were found in the serum of rats by comparing the compound extract, drug-containing serum, and blank serum. Components, such as 6-hydroxycoumarin, poricoic acid F, deoxoglabrolide, 30-norhederagenin, kanzonol R, 3',6'-di-O-galloylpaeoniflorin, 16α-hydroxytrametenolic acid, 16-deoxyporicoic acid B, 3-O-acetyl-16α-hydroxytrametenolic acid, and 16α,25-dihydroxydehydroeburiconic acid, were first found in rat serum. Behavioral tests, including the tail suspension test, novel object recognition test, and novelty-suppressed feeding test, were conducted for behavioral analysis. It was confirmed that this formula had therapeutic effects on perimenopausal depression. Furthermore, in combination with the network pharmacology method, 53 core targets including MAPK1, HRAS, AKT1, EGFR, and ESR1 were screened, and these targets participated in 165 signaling pathways, including PI3K-AKT, AMPK, VEGFA, MAPK, and HIF-1. In summary, the potential effects of Danzhi Xiaoyao Formula in treating perimenopausal depression are associated with mechanisms in accelerating inflammation repair, improving neuroplasticity, affecting neurotransmitters, regulating estrogen levels, and promoting new blood vessel formation.
Animals ; Rats ; Chromatography, High Pressure Liquid ; Depression/drug therapy* ; Network Pharmacology ; Perimenopause ; Phosphatidylinositol 3-Kinases ; Drugs, Chinese Herbal/pharmacology* ; Molecular Docking Simulation

Objective: To analyze the status quo of the knowledge and related factors of cancer prevention and treatment among residents in Liaoning Province in 2021. Methods: From August to November 2021, through network sampling method, 17 474 permanent residents aged 15-69 years in Liaoning Province were surveyed. The WeChat public account was used to collect information such as demographic characteristics and core knowledge of cancer prevention and treatment. The Chi-square test was used to compare the difference of the level of the cancer prevention and treatment knowledge among different groups. The multivariate logistic regression model was used to analyze the related factors. Results: Among the 17 474 subjects, 43.1% (7 528) were male and 58.7% (10 262) were urban residents. The overall awareness rate was 72.3%, and the awareness rate of cancer cognition, prevention, early diagnosis and treatment, cancer management and rehabilitation were 71.4%, 67.6%, 72.7%, 83.4% and 63.5%, respectively. The multivariate logistic regression model showed that the residents who were man (OR: 0.850, 95%CI: 0.781-0.925), in rural areas (OR: 0.753, 95%CI: 0.694-0.817), 55-59 years old (OR: 0.851, 95%CI: 0.751-0.963), quitters (OR: 0.721, 95%CI: 0.640-0.813) and smoker (OR: 0.724, 95%CI: 0.654-0.801) had lower awareness rates, while the residents who were 35-54 years old (OR: 1.312, 95%CI: 1.202-1.432), with an educational level of junior high school/senior high school/college degree or above (OR: 1.834-5.130, 95%CI: 1.575-6.047), technical personnel (OR: 1.592, 95%CI: 1.367-1.854), civil servant/institution staff (OR: 1.282, 95%CI: 1.094-1.503), enterprise/business/service staff (OR: 1.218, 95%CI: 1.071-1.385), retired (OR: 1.324, 95%CI: 1.114-1.573) and with family history of cancer (OR: 1.369, 95%CI: 1.266-1.481) had higher awareness rates. Conclusion: The level of the awareness of core knowledge of cancer prevention and treatment among residents in Liaoning Province has met the requirements of the Healthy China Action. Region, gender, education level, age, family history of cancer and smoking are relevant factors.
Adult ; Female ; Humans ; Male ; Middle Aged ; China ; Health Knowledge, Attitudes, Practice ; Neoplasms/prevention & control* ; Surveys and Questionnaires ; Adolescent ; Young Adult ; Aged

Polydopamine (PDA) is a novel type of polymer synthesized inspired by adhesion proteins in mussels. It has been widely used in tumor-targeting drug delivery systems due to its natural advantages such as good biocompatibility, excellent photothermal conversion performance, adhesion, high chemical reactivity and multiple drug release response mechanisms. This review summarizes the applications of PDA-based tumor-targeting drug delivery in recent years, hoping to provide references for designing a more reasonable and effective PDA-based multifunctional collaborative tumor therapy platform.

Brucea javanica oil emulsion (BJOE) has been used to treat tumor in China for more than 40 years. However, its components and effectiveness in the treatment of acute lymphocytic leukemia (ALL) and its mechanism of anti-cancer activity remain unknown. In the current study, high-performance liquid chromatography-evaporative light scattering detector (HPLC-ELSD) was used to analyze the components of BJOE. Then, the anti-leukemia effects of BJOE were examined both in vitro and in vivo using ALL Jurkat cells and the p388 mouse leukemia transplant model, respectively. The primary ALL leukemia cells were also used to confirm the anti-leukemia effects of BJOE. The apoptotic-related results indicated that BJOE induced apoptosis in Jurkat cells and were suggestive of intrinsic apoptotic induction. Moreover, BJOE inhibited Akt (protein kinase B) activation and upregulated its downstream targets p53 and FoxO1 (forkhead box gene, group O-1) to initiate apoptosis. The activation of GSK3β was also involved. Our findings demonstrate that BJOE has anti-leukemia effects on ALL cells and can induce apoptosis in Jurkat cells through the phosphoinositide3-kinase (PI3K) /Akt signaling pathway.
Animals ; Apoptosis ; Brucea/chemistry* ; Glycogen Synthase Kinase 3 ; Humans ; Jurkat Cells ; Mice ; Phosphatidylinositol 3-Kinases/genetics* ; Plant Oils/pharmacology* ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/drug therapy* ; Proto-Oncogene Proteins c-akt/genetics* ; Seeds/chemistry* ; Signal Transduction

Drug combination is a common clinical phenomenon. However, the scientific implementation of drug combination is li-mited by the weak rational evaluation that reflects its clinical characteristics. In order to break through the limitations of existing evaluation tools, examining drug-to-drug and drug-to-target action characteristics is proposed from the physical, chemical and biological perspectives, combining clinical multicenter case resources, domestic and international drug interaction public facilities with the aim of discovering the common rules of drug combination. Machine learning technology is employed to build a system for evaluating and predicting the rationality of clinical drug combinations based on "drug characteristics-repository information-artificial intelligence" strategy, which will be debugged and validated in multi-center clinical practice, with a view to providing new ideas and technical references for the safety and efficacy of clinical drug use.
Artificial Intelligence ; Drug Combinations ; Machine Learning ; Technology

Objective:To evaluate the clinical efficacy of the preoperative digital design combined with three-dimensional(3D) printing models to assist percutaneous kyphoplasty (PKP) treatment for thoracolumbar compression frac-tures.Methods:From January 2018 to August 2020,we obtained data of 99 patients diagnosed thoracolumbar com-pression fractures.These patients were divided into control group (n =50) underwent traditional PKP surgery,and observation group (n =49) underwent preoperative digital design combined with 3D printing model assisted PKP treatment.The clinical efficacy was evaluated with five parameters,including operation time,number of intraoperative radiographs,visual analogue scale (VAS) score,Cobb Angle change,and high compression rate of injured vertebrae.Results:There were statistically significant differences of operation time and number of intraoperative radio-graphs between the two groups (P ＜ 0.05).For VAS score,Cobb Angle change and vertebral height compression rate,all of these three parameters were significantly improved when the patients accepted surgery treatment in two groups (P ＜ 0.05).However,there were no significant differences between control group and observation group for these three parameters either before or after surgery (P ＞ 0.05).Conclusions:Through the design of preoperative surgical guide plate and the application of 3D printing model to guide the operation,the precise design of preoperative surgical puncture site and puncture Angle of the injured vertebra was realized,the number of intraoperative radiographs was reduced,the operation time was shortened and the operation efficiency was improved.

Objective: To explore the prevalence and risk factors of ischemic stroke in rural areas of Liaoning province. Methods: The study was a cross-sectional survey. From September 2017 to May 2018, a total of 10 926 rural residents aged ≥40 years were investigated in Chaoyang county, Lingyuan, Liaoyang county and Donggang city of Liaoning province. The investigation included questionnaire survey, physical examination and laboratory examination.Univariate and multivariate logistic regression models were used to analyze the risk factors of ischemic stroke. Results: The prevalence of ischemic stroke in the rural areas of Liaoning province was 5.51% (602/10 926), and the standardized prevalence rate was 4.04%. The standardized prevalence rate of male (5.05%) is higher than that of female (3.44%). The prevalence of ischemic stroke increased with age in both males (P<0.01) and females (P<0.01). Multivariate logistic regression analysis showed that age increase(compared with 40-49 years old group, 50-59 years old, OR=2.08, 95%CI 1.31-3.30, P=0.02; 60-69 years old, OR=3.90, 95%CI 2.51-6.05, P<0.01; 70-79 years old, OR=5.32, 95%CI 3.37-8.34, P<0.01; ≥80 years old, OR=3.64, 95%CI 2.00-6.62, P<0.01), male(OR=2.35, 95%CI 1.95-2.84, P<0.01),family history of stroke(OR=2.18, 95%CI 1.83-2.60, P<0.01),coronary heart disease (OR=2.01, 95%CI 1.52-2.66, P<0.01), hypertension (OR=2.82, 95%CI 2.21-3.60, P<0.01), diabetes mellitus (OR=1.36, 95%CI 1.11-1.67, P=0.03) and overweight/obese (OR=1.22, 95%CI 1.02-1.47, P=0.03) were the major risk factors of ischemic stroke. Conclusions The prevalence of ischemic stroke in rural areas of Liaoning province is high. Age, male, family history of stroke, coronary heart disease, hypertension, diabetes mellitus, overweight/obesity are the risk factors of ischemic stroke in rural areas of Liaoning province.

Objective: To explore the prevalence and risk factors of ischemic stroke in rural areas of Liaoning province. Methods: The study was a cross-sectional survey. From September 2017 to May 2018, a total of 10 926 rural residents aged ≥40 years were investigated in Chaoyang county, Lingyuan, Liaoyang county and Donggang city of Liaoning province. The investigation included questionnaire survey, physical examination and laboratory examination.Univariate and multivariate logistic regression models were used to analyze the risk factors of ischemic stroke. Results: The prevalence of ischemic stroke in the rural areas of Liaoning province was 5.51% (602/10 926), and the standardized prevalence rate was 4.04%. The standardized prevalence rate of male (5.05%) is higher than that of female (3.44%). The prevalence of ischemic stroke increased with age in both males (P<0.01) and females (P<0.01). Multivariate logistic regression analysis showed that age increase(compared with 40-49 years old group, 50-59 years old, OR=2.08, 95%CI 1.31-3.30, P=0.02; 60-69 years old, OR=3.90, 95%CI 2.51-6.05, P<0.01; 70-79 years old, OR=5.32, 95%CI 3.37-8.34, P<0.01; ≥80 years old, OR=3.64, 95%CI 2.00-6.62, P<0.01), male(OR=2.35, 95%CI 1.95-2.84, P<0.01),family history of stroke(OR=2.18, 95%CI 1.83-2.60, P<0.01),coronary heart disease (OR=2.01, 95%CI 1.52-2.66, P<0.01), hypertension (OR=2.82, 95%CI 2.21-3.60, P<0.01), diabetes mellitus (OR=1.36, 95%CI 1.11-1.67, P=0.03) and overweight/obese (OR=1.22, 95%CI 1.02-1.47, P=0.03) were the major risk factors of ischemic stroke. Conclusions: The prevalence of ischemic stroke in rural areas of Liaoning province is high. Age, male, family history of stroke, coronary heart disease, hypertension, diabetes mellitus, overweight/obesity are the risk factors of ischemic stroke in rural areas of Liaoning province.
Adult ; Aged ; Aged, 80 and over ; Brain Ischemia/epidemiology* ; China/epidemiology* ; Cross-Sectional Studies ; Female ; Humans ; Hypertension ; Male ; Middle Aged ; Prevalence ; Risk Factors ; Rural Population ; Stroke/epidemiology*

In this study, gas chromatography coupled with mass spectrometry(GC-MS) was used to analyze the changes of 12 kinds of cancer cells treated by curcumin. The related differential metabolites were screened and the metabolic pathways were analyzed to explore the anti-tumor mechanism of curcumin. Methyl thiazol tetrazolium(MTT) assay was used to detect the 50% inhibiting concentration(IC_(50)) of curcumin on 12 human tumor cells. After treatment with curcumin for 48 h, the cells were collected and analyzed by GC-MS, followed by pathway analysis and multivariate data analysis including principal component analysis(PCA), orthogonal partial least squares discriminant analysis(OPLS-DA) and One-way analysis of variance(ANOVA),etc. Overall, 34 metabolites showed significant concentration changes after intervention for 48 h, mainly involving multiple metabolic pathways, including lysine degradation, glycine, serine and threonine metabolism, arginine and proline metabolism, cysteine and methionine metabolism, aminoacyl-tRNA biosynthesis, primary bile acid biosynthesis, lysine biosynthesis. In this study, the anti-tumor mechanisms of curcumin interfering with energy metabolism, amino acid metabolism, microtubule system, protein synthesis and oxidative stress response of tumor cells were analyzed from the perspective of metabolism, providing a new reference for further tumor pharmacology study.
Antineoplastic Agents, Phytogenic ; pharmacology ; Cell Line, Tumor ; Curcumin ; pharmacology ; Gas Chromatography-Mass Spectrometry ; Humans ; Metabolic Networks and Pathways ; Metabolome ; Metabolomics ; Principal Component Analysis