This study predicts the quality markers(Q-markers) for the cough-relieving and phlegm-expelling effects of Kening Granules based on pharmacodynamics, plasma drug chemistry, network pharmacology, and pharmacokinetics. Strong ammonia solution spray and phenol red secretion assays were employed to evaluate the cough-relieving and phlegm-expelling effects of Kening Granules. Twentysix absorbed prototype components of Kening Granules were identified by ultra high performance liquid chromatography coupled with QExactive Plus quadrupole/Orbitrap high resolution mass spectrometry(UHPLC-Q-Exactive Plus Orbitrap HRMS). Through network pharmacology, 11 potential active components were screened out for the cough-relieving and phlegm-expelling effects of Kening Granules. The 11 components acted on 40 common targets such as IL6, TLR4, and STAT3, which mainly participated in PI3K/Akt, HIF-1, and EGFR signaling pathways. Pharmacokinetic quantitative analysis was performed for 7 prototype components. Three compounds including azelaic acid, caffeic acid, and vanillin were identified as Q-markers for the cough-relieving and phlegm-expelling effects of Kening Granules based on their effectiveness, transmissibility, and measurability. The results of this study are of great significance for clarifying the pharmacological substance basis, optimizing the quality standards, and promoting the clinical application of Kening Granules.
Drugs, Chinese Herbal/administration & dosage* ; Network Pharmacology ; Cough/blood* ; Male ; Humans ; Animals ; Rats ; Rats, Sprague-Dawley ; Biomarkers/blood* ; Quality Control ; Chromatography, High Pressure Liquid ; Antitussive Agents/chemistry*

Emodin is a hydroxyanthraquinone compound that is widely distributed and has multiple pharmacological activities, including anti-diarrheal, anti-inflammatory, and liver-protective effects. Research indicates that emodin may be one of the main components responsible for inducing hepatotoxicity. However, studies on the mechanisms of liver injury are relatively limited, particularly those related to bile acids(BAs) metabolism. This study aims to systematically investigate the effects of different dosages of emodin on BAs metabolism, providing a basis for the safe clinical use of traditional Chinese medicine(TCM)containing emodin. First, this study evaluated the safety of repeated administration of different dosages of emodin over a 5-week period, with a particular focus on its impact on the liver. Next, the composition and content of BAs in serum and liver were analyzed. Subsequently, qRT-PCR was used to detect the mRNA expression of nuclear receptors and transporters related to BAs metabolism. The results showed that 1 g·kg~(-1) emodin induced hepatic damage, with bile duct hyperplasia as the primary pathological manifestation. It significantly increased the levels of various BAs in the serum and primary BAs(including taurine-conjugated and free BAs) in the liver. Additionally, it downregulated the mRNA expression of farnesoid X receptor(FXR), retinoid X receptor(RXR), and sodium taurocholate cotransporting polypeptide(NTCP), and upregulated the mRNA expression of cholesterol 7α-hydroxylase(CYP7A1) in the liver. Although 0.01 g·kg~(-1) and 0.03 g·kg~(-1) emodin did not induce obvious liver injury, they significantly increased the level of taurine-conjugated BAs in the liver, suggesting a potential interference with BAs homeostasis. In conclusion, 1 g·kg~(-1) emodin may promote the production of primary BAs in the liver by affecting the FXR-RXR-CYP7A1 pathway, inhibit NTCP expression, and reduce BA reabsorption in the liver, resulting in BA accumulation in the peripheral blood. This disruption of BA homeostasis leads to liver injury. Even doses of emodin close to the clinical dose can also have a certain effect on the homeostasis of BAs. Therefore, when using traditional Chinese medicine or formulas containing emodin in clinical practice, it is necessary to regularly monitor liver function indicators and closely monitor the risk of drug-induced liver injury.
Emodin/administration & dosage* ; Bile Acids and Salts/metabolism* ; Animals ; Male ; Liver/injuries* ; Chemical and Drug Induced Liver Injury/genetics* ; Drugs, Chinese Herbal/adverse effects* ; Humans ; Rats, Sprague-Dawley ; Mice ; Rats

The chemical components of Carthami Flos were investigated by using macroporous resin, silica gel column chromatography, reversed-phase octadecylsilane(ODS) column chromatography, Sephadex LH-20, and semi-preparative high-performance liquid chromatography(HPLC). The planar structures of the compounds were established based on their physicochemical properties and ultraviolet-visible(UV-Vis), infrared(IR), high-resolution electrospray ionization mass spectrometry(HR-ESI-MS), and nuclear magnetic resonance(NMR) spectroscopic technology. The absolute configurations were determined by comparing the calculated and experimental electronic circular dichroism(ECD). Six flavonoid C-glycosides were isolated from the 30% ethanol elution fraction of macroporous resin obtained from the 95% ethanol extract of Carthami Flos, and identified as saffloquinoside F(1), 5-hydroxysaffloneoside(2), iso-5-hydroxysaffloneoside(3), isosafflomin C(4), safflomin C(5), and vicenin 2(6). Among these, the compounds 1 to 3 were new chalcone C-glycosides. The compounds 1, 2, 4, and 5 could significantly increase the viability of H9c2 cardiomyocytes damaged by oxygen-glucose deprivation/reoxygenation(OGD/R) at a concentration of 50 μmol·L~(-1), showing their good cardioprotective activity.
Glycosides/pharmacology* ; Flowers/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Carthamus tinctorius/chemistry* ; Chalcones/pharmacology* ; Animals

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiovascular diseases, affecting vital organs such as the heart, brain, and kidneys. Our goal is to predict the risk of new onset hypertension using machine learning algorithms and identify the characteristics of patients with new onset hypertension. METHODS: We analyzed data from the 2011 China Health and Nutrition Survey cohort of individuals who were not hypertensive at baseline and had follow-up results available for prediction by 2015. We tested and evaluated the performance of four traditional machine learning algorithms commonly used in epidemiological studies: Logistic Regression, Support Vector Machine, XGBoost, LightGBM, and two deep learning algorithms: TabNet and AMFormer model. We modeled using 16 and 29 features, respectively. SHAP values were applied to select key features associated with new onset hypertension. RESULTS: A total of 4,982 participants were included in the analysis, of whom 1,017 developed hypertension during the 4-year follow-up. Among the 16-feature models, Logistic Regression had the highest AUC of 0.784(0.775∼0.806). In the 29-feature prediction models, AMFormer performed the best with an AUC of 0.802(0.795∼0.820), and also scored the highest in MCC (0.417, 95%CI: 0.400∼0.434) and F1 (0.503, 95%CI: 0.484∼0.505) metrics, demonstrating superior overall performance compared to the other models. Additionally, key features selected based on the AMFormer, such as age, province, waist circumference, urban or rural location, education level, employment status, weight, WHR, and BMI, played significant roles. CONCLUSION We used the AMFormer model for the first time in predicting new onset hypertension and achieved the best results among the six algorithms tested. Key features associated with new onset hypertension can be determined through this algorithm. The practice of machine learning algorithms can further enhance the predictive efficacy of diseases and identify risk factors for diseases.
Humans ; China/epidemiology* ; Hypertension/diagnosis* ; Machine Learning ; Male ; Female ; Middle Aged ; Adult ; Nutrition Surveys ; Algorithms ; Aged ; Risk Factors

Objective To verify the accuracy of a Non-Contact Sleep Monitoring Mattress(NCSMM)based on body movement during sleep in assessing sleep quality of patients before neurosurgery in order to provide a more portable and efficient assessment tool for clinical staff.Methods A single-arm trial was conducted on 114 inpatients admitted in our department selected with convenience sampling.Sleep quality data of 1 night were collected through 5 sleep quality assessment tools,including NCSMM,polysomnography(PSG),Patient-Reported Outcome Measurement Information System(PROMIS)Sleep Disturbance scale,Richards-Campbell Sleep Scale(RCSQ),and a wearable device(smart watch for body movements and sleep quality monitoring).The sleep efficiency(≤85%)obtained by PSG was used as the diagnostic standard for sleep disorders.The area under the receiver operating characteristic curve(AUC),sensitivity,specificity,positive predictive value,negative predictive value,and Youden index were calculated for the other 4 tools to evaluate and compare their diagnostic effectiveness.Results The AUC value for NCSMM,PROMIS,RCSQ and smart watch was 0.788(95%CI:0.687～0.888,P<0.001),0.664(95%CI:0.543～0.784,P=0.02),0.723(95%CI:0.600～0.846,P=0.001)and 0.750(95%CI:0.654～0.846,P<0.001),respectively.The diagnostic accuracy rate was 0.774,0.559,0.742 and 0.602,with corresponding Youden index value of 0.488,0.321,0.456,and 0.459.NCSMM demonstrated the best AUC value,sensitivity and Youden index when compared with the other 3 tools.Conclusion NCSMM shows high accuracy in assessing sleep quality in pre-neurosurgery inpatients,and it is a viable portable and efficient assessment tool in clinical practice.

Objective To construct a model combining with traditional Chinese medicine(TCM)syndrome for predicting the risk of disease progression in patients with idiopathic membranous nephropathy(IMN)by machine learning methods,thus to quantitatively evaluating the value of TCM syndrome in the prediction of the risk of disease progression in IMN.Methods Monofactor analysis,recursive feature elimination(RFE)and multivariate binary Logistic regression analysis were used to screen the independent related factors affecting the risk of disease progression of IMN,and then a risk prediction model was constructed.A total of 102 patients with IMN were randomly assigned to the training set and the test set in a ratio of 65∶35,and then the comparison was conducted in the performance indicators of accuracy,sensitivity,specificity,F1 value,and area under the receiver operating characteristic(ROC)area under the curve(AUC)of the risk prediction model with or without the inclusion of the TCM syndrome information.Results Before the inclusion of TCM syndrome information,12 clinical characteristic variables for patients with MN were obtained after monofactor analysis combined with RFE screening,and they were age,hemoglobin quantification,urinary occult blood,24-hour urine protein quantification,urine protein-creatinine ratio,estimated glomerular filtration rate(eGFR),creatinine,uric acid,alanine transaminase,anti-phospholipase A2 receptor antibody(PLA2R-Ab),total cholesterol,and low-density lipoprotein cholesterd.A risk cholesterol prediction model containing the above variables was constructed.The multivariate binary Logistic regression analysis showed that the differences of the clinical variables mentioned above between the training-set group and test-set group were statistically significant,and the risk prediction model presented good sensitivity and predictability.Monofactor analysis combined with RFE screening was performed again after the inclusion of TCM syndrome information,and then 14 variables were obtained,which included blood stasis syndrome and dampness obstruction syndrome.The sensitivity and specificity of the model with the inclusion of the TCM syndrome information were significantly improved when compared with those without the inclusion of TCM syndrome information.Conclusion The results of the study initially indicate that TCM syndrome can be used as an important supplementary variable for predicting the risk of disease progression in IMN,and will provide a reference for intelligent diagnosis through the integration of traditional Chinese and western medicine information,and will supply the guidance for the treatment of IMN with TCM.

Objective To discuss the application of gelatin sponge-hemocoagulase plugging agent in patients with pulmonary puncture bleeding.Methods The clinical data of 43 patients with hemorrhage caused by DSA-guided lung puncture biopsy,who received gelatin sponge-hemocoagulase plugging agent treatment at the Jining Municipal First People's Hospital of China between September 2021 and May 2023,were collected,and the hemostatic effect of gelatin sponge-hemocoagulase plugging agent was analyzed.Results Successful lung puncture needle biopsy was achieved in all the 43 patients.The puncture needle channel occlusion was accomplished by using gelatin sponge-hemocoagulase plugging agent.Five minutes after occlusion treatment,in one patient,whose moderate hemoptysis with moderate bleeding shadow before puncture needle biopsy changed to bloody sputum,the intrapulmonary bleeding shadow displayed on image became slightly enlarged when compared the size five minutes ago,while in all the remaining patients successful hemostasis was achieved,the hemoptysis disappeared and the pulmonary hemorrhage shadow was similar to that five minutes ago.No occlusion-related complications occurred in all patients.Conclusion For the treatment of pulmonary hemorrhage caused by DSA-guided lung puncture biopsy,gelatin sponge-hemocoagulase plugging agent is clinically safe and effective.

Objective To find potential biomarkers and analyzing metabolic pathways of the treatment by honey-processed Hedysari Radix,the cecal contents of rats with spleen-Qi deficiency were used as samples for analysis.Methods Sixty male SD rats were randomly divided into blank,model,experimental and control groups.The rats in other groups except the control group were carried out by using the three-factor compound modeling method of bitter-cold diarrhea,excessive exertion and hunger and satiety disorders.Experimental group was given 12.60 g·kg-1 honey-processed Hedysari Radix;control group was given 0.63 g·kg-1 lactobacillus bifidum triplex tabletsa;control and model groups received with equal volume of distilled water for a total of 15 days.Measure body weight,anal temperature,immune organ index of rats.Ultra-pressure liquid chromatography-quadrupole-exactive-mass spectrometry technology was used to measure the levels of endogenous metabolites in cecum contents.Orthogonal partial least squares discriminant analysis and database"Kyoto Encyclopedia of Genes and Genomes"were used to identify potential differential metabolites and possible metabolic pathways.Results After the intervention,the average body weight of the experimental,control,model and blank groups was(216.87±7.85),(210.96±9.03),(159.47±5.18)and(293.51±22.98)g;anal temperature was(36.14±0.48),(35.40±0.64),(34.50±0.78)and(36.61±0.34)℃;the thymus indexes were(1.19±0.20),(1.24±0.25),(0.47±0.15)and(1.31±0.21)mg·g-1;the spleen indexes were(1.95±0.33),(2.18±0.28),(1.61±0.27)and(2.29±0.24)mg·g-1.Compared with the model group,the above indexes of the experimental group and the control group were significantly increased(all P＜0.01).A total of 14 potential biomarkers of Honey-processed Hedysari Radix in treating spleen-Qi deficiency syndrome were screened out in this study,which mainly involved amino acid metabolism such as tryptophan and glutamate,riboflavin metabolism and adenosine 5'-monophosphate-activated protein kinase metabolism.Conclusion Honey-processed Hedysari Radix can further protect the intestinal mucosal barrier and reduce the intestinal inflammatory response by improving the metabolic level of cecum contents in rats with spleen-Qi deficiency in cecum contents,thus exerting the effect of strengthening the spleen and tonifying the Qi.

Thyroglobulin(Tg)is a glycoprotein with large molecular weight,which is synthesized and secreted into the bloodstream by thyroid follicular cells.The concentration level of Tg in blood is one of the important biomarkers for diagnosis of thyroid diseases such as differentiated thyroid cancer(DTC),subacute thyroiditis,etc..Radioimmunoassay(RIA),immunoradiometric assay(IRMA),and immunochemiluminescence assay(ICMA)are the main clinical methods for detecting Tg.Recently,for meeting the requirement of detecting low concentration of Tg in blood after thyroid clearance surgery,researchers have developed various high-performance analysis methods for detecting Tg concentration in blood samples,providing new assays for thyroid disease screening and efficacy evaluation.This review summarized the analysis methods of Tg,especially the new progresses in the biosensors for monitoring low concentration of Tg in blood during the past five years.The current technical challenges of these methods in clinical applications were briefly discussed,which might provide useful information for developing new liquid biopsy methods of DTC.

Objective To observe the improvement effect and mechanism of salvianolic acid B on renal fibrosis mice.Methods Thirty-six BALB/c mice were randomly divided into sham operation group,model group,salvianolic acid B low-,medium-and high-dose groups and VX765(caspase-1 inhibitor)group,with 6 mice in each group.Salvianolic acid B low-,medium-and high-dose groups were intragastrically administered with corresponding doses of 50,100,200 mg-kg-1-d-1 salvianolic acid B normal saline suspension,respectively,VX765 group was intragastrically administered with 50 mg·kg-1·d-1 VX765 normal saline suspension,and the sham operation group and the model group were intragastrically administered with the same volume of normal saline,once a day.After seven days,except for the sham operation group,the mice in other groups were treated with unilateral renal ischemia-reperfusion injury combined with contralateral nephrectomy to establish an acute kidney injury-induced renal fibrosis model.After modeling,each group continued to be administered with the corresponding volume of drugs for 21 days.After the administration,the pathological changes of renal tissue were observed by hematoxylin-eosin(HE)staining and Masson staining.The serum creatinine(SCr)was detected by sarcosine oxidase method.The urea nitrogen(BUN)was detected by urease method.The level of serum neutrophil gelatinase-associated lipocalin(NGAL)was detected by enzyme-linked immunosorbent assay(ELISA).The expression of fibrosis-related proteins fibrosis-related proteins α-smooth muscle actin(α-SMA),vimentin and transforming growth factor-β(TGF-β)and pyroptosis-related proteins cleaved cysteine aspartate proteolytic enzyme 1(cl-caspase-1),pro-caspase-1(pro-caspase-1),NOD-like receptor hot protein domain-related protein 3(NLRP3),cleaved interleukin-1β(cl-IL-1β),interleukin-1β(IL-1β),GSDMD-N,GSDMD in renal tissue was detected by Western Blot.Results Compared with the sham operation group,the serum levels of SCr,BUN and NGAL in the model group were increased(P＜0.05 or P＜0.01).HE and Masson staining showed inflammatory cell infiltration and a large amount of collagen deposition in the renal interstitium,and the expression levels of fibrosis-related proteins α-SMA,vimentin and TGF-β were increased(P＜0.01).The expression levels of pyroptosis-related proteins cl-caspase-1/pro-caspase-1,NLRP3,cl-IL-1β/IL-1β,GSDMD-N/GSDMD were also increased(P＜0.05 or P＜0.01).Compared with the model group,the levels of serum SCr,BUN and NGAL in the high-dose salvianolic acid B group were significantly decreased(P＜0.05 or P＜0.01),the infiltration of renal interstitial inflammatory cells and collagen deposition were reduced,and the expression levels of fibrosis proteins α-SMA,vimentin,TGF-β and pyroptosis-related proteins cl-caspase-1/pro-caspase-1,NLRP3,cl-IL-1β/IL-1β,GSDMD-N/GSDMD were decreased(P＜0.05 or P＜0.01).There was no significant difference in the above indexes between the high-dose salvianolic acid B group and the VX765 group(P＞0.05).Conclusion Salvianolic acid B may alleviate renal fibrosis in mice by inhibiting pyroptosis mediated by NLRP3/caspase-1/GSDMD pathway.