This study aimed to explore the therapeutic mechanisms of Colquhounia Root Tablets(CRT) in treating diabetic kidney disease(DKD) by integrating biomolecular network mining with animal model verification. By analyzing clinical transcriptomics data, an interaction network was constructed between candidate targets of CRT and DKD-related genes. Based on the topological eigenvalues of network nodes, 101 core network targets of CRT against DKD were identified. These targets were found to be closely related to multiple pathways associated with type 2 diabetes, immune response, and metabolic reprogramming. Given that immune-inflammatory imbalance driven by metabolic reprogramming is one of the key pathogenic mechanisms of DKD, and that many core network targets of CRT are involved in this pathological process, receptor for advanced glycation end products(RAGE)-reactive oxygen species(ROS)-phosphatidylinositol 3-kinase(PI3K)-protein kinase B(AKT)-nuclear factor-κB(NF-κB)-NOD-like receptor family pyrin domain containing 3(NLRP3) signaling axis was selected as a candidate target for in-depth research. Further, a rat model of DKD induced by a high-sugar, high-fat diet and streptozotocin was established to evaluate the pharmacological effects of CRT and verify the expression of related targets. The experimental results showed that CRT could effectively correct metabolic disturbances in DKD, restore immune-inflammatory balance, and improve renal function and its pathological changes by inhibiting the activation of the RAGE-ROS-PI3K-AKT-NF-κB-NLRP3 signaling axis. In conclusion, this study reveals that CRT alleviates the progression of DKD through dual regulation of metabolic reprogramming and immune-inflammatory responses, providing strong experimental evidence for its clinical application in DKD.
Animals ; Diabetic Nephropathies/metabolism* ; Receptor for Advanced Glycation End Products/genetics* ; NF-kappa B/genetics* ; Signal Transduction/drug effects* ; Rats ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Male ; Phosphatidylinositol 3-Kinases/genetics* ; Reactive Oxygen Species/metabolism* ; Humans ; Plant Roots/chemistry* ; Rats, Sprague-Dawley ; Tablets/administration & dosage*

OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a major health concern in northwest China; however, the impact of particulate matter (PM) exposure during sand-dust storms (SDS) remains poorly understood. Therefore, this study aimed to investigate the association between PM exposure on SDS days and COPD hospitalization risk in arid regions. METHODS: Data on daily COPD hospitalizations were collected from 323 hospitals from 2018 to 2022, along with the corresponding air pollutant and meteorological data for each city in Gansu Province. Employing a space-time-stratified case-crossover design and conditional Poisson regression, we analyzed 265,379 COPD hospitalizations. RESULTS: PM exposure during SDS days significantly increased COPD hospitalization risk [relative risk ( RR) for PM _2.5, lag 3:1.028, 95% confidence interval ( CI): 1.021-1.034], particularly among men and the elderly, and during the cold season. The burden of PM exposure on COPD hospitalization was substantially high in Northwest China, especially in the arid and semi-arid regions. CONCLUSION Our findings revealed a positive correlation between PM exposure during SDS episodes and elevated hospitalization rates for COPD in arid and semi-arid zones in China. This highlights the urgency of developing region-specific public health strategies to address adverse respiratory outcomes associated with SDS-related air quality deterioration.
Humans ; China/epidemiology* ; Pulmonary Disease, Chronic Obstructive/chemically induced* ; Particulate Matter/analysis* ; Hospitalization/statistics & numerical data* ; Male ; Female ; Middle Aged ; Aged ; Air Pollutants/analysis* ; Environmental Exposure/adverse effects* ; Spatio-Temporal Analysis ; Adult ; Sand ; Air Pollution

Purpose To establish glucose metabolism patterns of Parkinson's disease(PD)at different periods,and to study the changing pattern of target region of interest(ROI)with the period of time,and then explore the relationship between ROIs and cognitive or motor in different periods.Materials and Methods A total of 42 patients with early-stage PD collected from June 2010 to September 2022 in online data from the markers of Parkinson's progression study which included clinical data,and FDG PET imaging was performed at baseline,12,24,36 and 48 months.The data of 8 healthy volunteers were also obtained from the database,and the time range was the same as that of the above-mentioned PD patients.The longitudinal changes of cerebral glucose metabolism in PD patients and the relationship between PD-associated ROI and movement disorder society-sponsored revision of the unified Parkinson's disease rating scale(MDS-UPDRS)score were evaluated.Results PD was relatively reduced activity located in frontal and parietal association areas and relatively increased activity in the cerebellum,the putamen and the cingulate gyrus.In our study of target ROIs over time,FDG uptake in the caudate nucleus,putamen,pallidum,and cerebellum of patients with PD was initially higher than in the normal group,and subsequently decreased.In contrast,the ROI of PD in the anterior cingulate gyrus,posterior cingulate gyrus,the substantia nigra pars compacta and substantia nigra pars reticulata was initially lower than that in healthy controls and subsequently increased.The putamen,pallidum and caudate nucleus metabolic activity showed a positive correlation in 36 month and MDS-UPDRS scores(r=0.659 5,0.678 7,0.716 7,all P<0.05).The caudate nucleus,putamen and pallidum metabolic activity showed a negative correlation in 24 month and baseline(r=-0.541 8,-0.878 9,-0.887 6,all P<0.05).Conclusion We provide 5-year longitudinal data on changes in 18F-FDG imaging outcomes in early PD.In addition,the glucose metabolic activity of caudate nucleus,putamen and globus pallidus are correlated with MDS-UPDRS scores.

Objective: To analyze the correlation between refractive errors and physical development indicators among primary school students aged 6 to 9, so as to provide a scientific basis for the development of effective prevention and control measures. Methods: A stratified cluster random sampling method was used to recruit 2 833 elementary school students aged 6 to 9 from Guangdong Province for vision screening, ocular biometry, and physical examinations in Octorber, 2020. The Chi square test, t-test, and ANOVA were employed to compare myopia rates and indicator values across different groups. Multiple linear regression models were used to analyze the correlations between height, weight, and body mass index (BMI) with refractive development indicators. Results: The screening myopia rate among primary school students aged 6 to 9 was 16.7%, and the myopia rate increased with age ( χ 2= 51.58 , P <0.01). The height and weight of the myopic group [(126.96±7.41)cm, (26.59±6.45)kg] were higher than those of the non myopic group [(124.76±7.77)cm, (25.42±5.87)kg] ( t =5.84, 3.65, P <0.01). The mean values of spherical equivalent (SE), axial length (AL), anterior chamber depth (ACD), and AL/corneal curvature radius (CR) ratio for students aged 6 to 9 were (-0.17±1.04)D, (22.96±0.78)mm, (3.38±0.24)mm, and (2.95±0.08), respectively, with statistically significant differences across different age and myopia severity groups ( t =37.08, 119.20, 41.54, 133.60; 935.30, 184.10, 73.95, 498.50, P < 0.01). After adjusting for gender, age, and residence, the multiple linear regression model showed that height was positively correlated with AL and CR, weight was positively correlated with ACD, and BMI was positively correlated with AL and ACD ( β = 0.191 , 0.070, 0.035, 0.013, 0.007, P <0.05). When stratified by myopia status, results for the non-myopic group were similar to the overall results, whereas in the myopic group, the correlations between height, BMI, and AL were not statistically significant ( P > 0.05). Conclusions Among primary school students aged 6 to 9, height and BMI are positively correlated with AL in the non myopic group but no similar correlation is observed in the myopic group, indicating that factors other than physical development, such as environmental and behavioral factors, should be considered for their impact on refractive development.

Objective To observe the clinical effect and safety of recombinant human interferon-α2b(rhIFN-α2b)combined with 5-aminolaevulinic acid photodynamic therapy(ALA-PDT)in the treatment of patients with cervical intraepithelial lesions and human papilloma virus(HPV)infection.Methods The clinical data of patients with cervical intraepithelial lesions and HPV infection were analyzed retrospectively.The patients were divided into control group and treatment group according to cohort method.The control group was treated with rhIFN-α2b gel at posterior fornix,qd.On this basis,the treatment group was treated with ALA-PDT,namely applying 5％ALA temperature-sensitive gel prepared by 118 mg of ketone valerate hydrochloride powder for external use on vaginal surface,combined with photodynamic therapy,once a week.The clinical efficacy,time to recovery from clinical symptoms,recurrence rate,changes in cytokines[interleukin-6(IL-6),interleukin-8(IL-8)and interferon-γ(IFN-γ)]and immune function[T cell subsets CD3+,CD4+,CD8+and CD4+/CD8+],and safety were compared between the two groups.Results There were 98 cases in treatment group and 100 cases in control group.The total effective rates in treatment group and control group were 93.88％and 83.00％,with statistically significant difference(P＜0.05).The relief time of lower abdominal pain in treatment group and control group were(3.65±0.52)and(5.26±0.65)d;the time to recovery from abnormal vaginal discharge were(5.77±0.83)and(7.16±0.92)d;the time to recovery from irregular vaginal bleeding were(4.82±0.62)and(6.94±0.77)d;HPV clearance rates were 58.16％and 42.00％;IL-6 levels were(0.16±0.09)and(0.23±0.05)mg·L-1;IL-8 levels were(0.47±0.05)and(0.66±0.07)mg·L-1;IFN-γ levels were(10.07±0.98)and(7.24±0.65)ng·mL-1;CD3+were(71.06±8.29)％and(61.36±6.88)％;CD4+were(48.25±5.94)％and(42.25±5.13)％;CD8+were(20.37±2.42)％and(24.69±2.51)％;CD4+/CD8+were 2.11±0.27 and 1.36±0.16;the differences were all statistically significant(all P＜0.05).Recurrence rates in treatment group and control group were 5.10％and 14.00％,with statistically significant difference(P＜0.05).The total incidence of adverse drug reactions in treatment group and control group were 26.53％and 21.00％,without statistically significant difference(P＞0.05).Conclusion The combined treatment of rhIFN-α2b and ALA-PDT is effective for patients with cervical intraepithelial lesions and HPV infection.It has obvious advantages in improving immunity,relieving inflammatory response and reducing recurrence rate,with good safety.

Objective To construct machine learning models that can be used to predict AUC fold change(FC)using a database of existing pharmacokinetic(PK)and drug-drug interaction(DDI)information,which can be used to explore the possibility of predicting existing drug interactions and to provide certain rational recommendations for clinical drug use.Methods PK data of DDIs and AUC fold change data were extracted from FDA-approved drug labels.Peptide and pharmacodynamic(PD)information related to drug interactions were retrieved through DrugBank,and PPDT identification of relevant peptide IDs was performed using Protein Resource(UniProt),and a matrix normalization code was used to generate multidimensional vector data that were easy to analysis.The effect of PPDT on the AUC,and the resulting multiplicity change was used as the dependent variable for machine learning model construction.The model with the smallest root mean square error(RMES)value was used for model construction to train a bagged decision tree(Bagged)prediction model.The models were tested using the trained models for some of the drug tests.The models were evaluated by reviewing the available literature findings on detection of drug interaction pairs and analyzing and comparing the predicted values.Results A total of 16 pairs of model drug pairs were tested for the effects of 16 drugs on tacrolimus,and it was found that the accuracy of the prediction of the presence or absence of drug interactions was 81.25％;the prediction results were classified according to the FDA standard classification of the strong and weak for the strength of drug interactions,and the results showed that the prediction of the strength of drug interactions,with a large deviation from the larger prediction was less.Conclusion The evaluation of the model to predict the presence or absence of drug interactions was general;however,after classifying the strengths and weaknesses of drug interactions,the prediction of drug interactions was better,and the prediction results indicated that the model prediction performance has a certain reference value for potential DDI assessment before clinical trials.

AIM To study the protective effects and mechanism of pueraria isoflavones on myocardial injury in ovariectomized rats.METHODS Thirty-six rats were randomly divided into the sham operation group,the model group,the estradiol valerate group(0.1 mg/kg)and the low,medium and high dose pueraria isoflavones groups(55,110,220 mg/kg).In contrast to the rats of the sham operation group having their small pieces of adipose tissue removal around the ovaries,rats of the other groups had their bilateral ovaries excised,followed by the 16-week corresponding oral drug administration 2 weeks later at a once daily frequency for,6 days a week.At the end of the 16th week,the rats had their hemodynamics[systolic pressure(SBP),diastolic pressure(DBP),mean pressure(MBP),left ventricular systolic pressure(LVSP),left ventricular diastolic pressure(LVMP),and the maximum rate of increase and decrease of left ventricular pressure during isovolumic contraction(±dp/dtmax)]detected by PowerLab;their cardiac pathological changes observed by HE staining;their levels of creatine kinase(CK),lactate dehydrogenase(LDH),total cholesterol(TC),triglyceride(TG),high density lipoprotein cholesterol(HDL-C),low density lipoprotein cholesterol(LDL-C)and glucose(Glu)in plasma detected by biochemical analyzer;their myocardial level of adenosine triphosphate(ATP)detected by colorimetry;their mRNA expressions of glucose transporter 4(GLUT4),lactate dehydrogenase A(LDHA),carnitine palmitoyl transferase-1(CPT-1α),acyl coenzyme A carboxylase(ACC),liver kinase B1(LKB1),adenylate-activated protein kinase(AMPK)and peroxisome proliferator-activated receptor γ coactivator factor 1α(PGC-1α)detected by RT-qPCR;and their myocardial expressions of energy metabolism related proteins LKB1,p-AMPK/AMPK and PGC-1α detected by Western blot.RESULTS Compared with the model group,the pueraria isoflavones groups displayed decreased levels of SBP,DBP,MBP,LVSP,LVMP(P＜0.05,P＜0.01);increased-dp/dtmax(P＜0.05,P＜0.01);improved myocardial fibrinolysis,gap widening and inflammatory infiltration caused by ovariectomy;decreased activities of LDH and CK(P＜0.05);increased myocardial ATP level(P＜0.05,P＜0.01);decreased levels of TC,TG,LDL-C and Glu(P＜0.05,P＜0.01);increased HDL-C level(P＜0.05,P＜0.01);increased myocardial mRNA expressions of GLUT4,LDHA,CPT-1α,ACC,LKB1,AMPK and PGC-1α(P＜0.05,P＜0.01);and increased protein expressions of myocardial LKB1,p-AMPK/AMPK and PGC-1α(P＜0.05,P＜0.01).CONCLUSION Pueraria isoflavones are protective to myocardial injury in ovariectomized rats,and the mechanism may lie in the improvement of energy metabolism-related myocardial proteins via LKB1/AMPK/PGC-1α signaling pathway.

This paper aimed to study the effect of Dalbergia cochinchinensis heartwood on plasma endogenous metabolites in rats with ligation of the left anterior descending coronary artery, and to analyze the mechanism of D. cochinchinensis heartwood in improving acute myocardial ischemic injury. The stability and consistency of the components in the D. cochinchinensis heartwood were verified by the establishment of fingerprint, and 30 male SD rats were randomly divided into a sham group, a model group, and a D. cochinchinensis heartwood(6 g·kg~(-1)) group, with 10 rats in each group. The sham group only opened the chest without ligation, while the other groups established the model of ligation. Ten days after administration, the hearts were taken for hematoxylin-eosin(HE) staining, and the content of heart injury indexes in the plasma creatine kinase isoenzyme(CK-MB) and lactate dehydrogenase(LDH), energy metabolism-related index glucose(Glu) content, and vascular endothelial function index nitric oxide(NO) was determined. The endogenous metabolites were detected by ultra-high-performance liquid chromatography-time-of-flight-mass spectrometry(UPLC-Q-TOF-MS). The results showed that the D. cochinchinensis heartwood reduced the content of CK-MB and LDH in the plasma of rats to relieve myocardial injury, reduced the content of Glu in the plasma, improved myocardial energy metabolism, increased the content of NO, cured the vascular endothelial injury, and promoted vasodilation. D. cochinchinensis heartwood improved the increase of intercellular space, myocardial inflammatory cell infiltration, and myofilament rupture caused by ligation of the left anterior descending coronary artery. The metabolomic study showed that the content of 26 metabolites in the plasma of rats in the model group increased significantly, while the content of 27 metabolites decreased significantly. Twenty metabolites were significantly adjusted after the administration of D. cochinchinensis heartwood. D. cochinchinensis heartwood can significantly adjust the metabolic abnormality in rats with ligation of the left anterior descending coronary artery, and its mechanism may be related to the regulation of cardiac energy metabolism, NO production, and inflammation. The results provide a corresponding basis for further explaining the effect of D. cochinchinensis on the acute myocardial injury.
Male ; Animals ; Rats ; Rats, Sprague-Dawley ; Dalbergia ; Myocardial Ischemia ; Metabolomics ; Heart ; Heart Injuries ; Creatine Kinase, MB Form

The theory of Zang Xiang is the core of the theory of traditional Chinese medicine,and its content mostly comes from the comparison of images.Among them,the liver Zang of"main drainage"and"main blood storage"involves many systems such as nerve,digestion,circulation,hematopoiesis,reproduction and so on.It is difficult to find the corresponding anatomical organs or tissues in western medicine.The author analyzes and believes that the collection of the functional system of the liver system of traditional Chinese medicine,compares the physiological function and pathological changes of the liver system with the histamine receptor distributed in multiple systems of the whole body,as well as the main symptoms and adverse reactions of the drugs regulating the histamine receptor,and believes that the functional system composed of histamine receptors may carry the important functions of the liver system of traditional Chinese medicine.

The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Quality Control ; Big Data ; Algorithms