Objective To establish the rapid discriminate analysis and quantitative analysis methods for carbonized Typhae Pollen(CTP)using near infrared spectroscopy coupled with chemometrics.Methods A total of 186 batches of CTP samples were prepared and categorized into three group including light degree CTP,moderate CTP,and heavy degree CTP.The NIR spectra of these samples were characterized.Then partial least squares-discriminant analysis(PLS-DA),k-nearest neighbors(KNN),support vector machine(SVM)algorithms were separately applied to build the discriminant models.The performance of discriminant models was evaluated in terms of the accuracy(ACC)and the error rate(ER).The partial least squares algorithm was used to establish the quantitative model for the prediction of 3,4-dihydroxybenzoic acid,3-hydroxybenzoic acid,4-hydroxybenzoic acid,azelaic acid,quercetin,quercetin-3-(2G-rhamnosylrutinoside),kaempferol,kaempferol-3-(2G-rhamnosylrutinoside),isorhamnetin,typhaneoside,isorhamnetin-3-O-neohesperidin,and naringenin of CTP samples.The correlation coefficients(rcal,rpre),the root mean square error of calibration(RMSEC),the root mean square error of prediction(RMSEP),and the ratio of performance deviation(RPD)were calculated to assess the PLS model.Results Compared with PLS-DA and KNN models,the SVM model yielded the best classification.The ACC of SVM model was 90.08％for calibration set and 93.44％for prediction set,while the ER was 9.08％for calibration set and 5.31 for prediction set.The values of rcal and r for PLS models were greater than 0.9,and the RPD of that was greater than 2.3.Conclusion In this study,the NIR spectroscopy coupled with chemometrics was firstly applied to develop the rapid discriminant analysis and quantitative analysis methods for CTP.The NIR-based method is rapid,non-destructive,and accurate,and it provides the scientific basis and method support for the rapid judgment of the processing degree of CTP and analysis of the changes of chemical components to ensure the quality of CTP.

Objective To establish the rapid discriminate analysis and quantitative analysis methods for carbonized Typhae Pollen(CTP)using near infrared spectroscopy coupled with chemometrics.Methods A total of 186 batches of CTP samples were prepared and categorized into three group including light degree CTP,moderate CTP,and heavy degree CTP.The NIR spectra of these samples were characterized.Then partial least squares-discriminant analysis(PLS-DA),k-nearest neighbors(KNN),support vector machine(SVM)algorithms were separately applied to build the discriminant models.The performance of discriminant models was evaluated in terms of the accuracy(ACC)and the error rate(ER).The partial least squares algorithm was used to establish the quantitative model for the prediction of 3,4-dihydroxybenzoic acid,3-hydroxybenzoic acid,4-hydroxybenzoic acid,azelaic acid,quercetin,quercetin-3-(2G-rhamnosylrutinoside),kaempferol,kaempferol-3-(2G-rhamnosylrutinoside),isorhamnetin,typhaneoside,isorhamnetin-3-O-neohesperidin,and naringenin of CTP samples.The correlation coefficients(rcal,rpre),the root mean square error of calibration(RMSEC),the root mean square error of prediction(RMSEP),and the ratio of performance deviation(RPD)were calculated to assess the PLS model.Results Compared with PLS-DA and KNN models,the SVM model yielded the best classification.The ACC of SVM model was 90.08％for calibration set and 93.44％for prediction set,while the ER was 9.08％for calibration set and 5.31 for prediction set.The values of rcal and r for PLS models were greater than 0.9,and the RPD of that was greater than 2.3.Conclusion In this study,the NIR spectroscopy coupled with chemometrics was firstly applied to develop the rapid discriminant analysis and quantitative analysis methods for CTP.The NIR-based method is rapid,non-destructive,and accurate,and it provides the scientific basis and method support for the rapid judgment of the processing degree of CTP and analysis of the changes of chemical components to ensure the quality of CTP.

OBJECTIVES: To investigate whether necrostatin-1 (Nec-1) can protect islet cells from the damage induced by TNF-α. METHODS: After isolation and purification, the neonatal porcine islet cell clusters (NICCs) were divided into 3 groups (islets 10 000 IEQ/group): a Nec-1 group (Nec-1+TNF-α was added to the culture medium), a TNF-α group (TNF-α was added to the culture medium), and a control group (pure medium). The number of cells was observed after 48 h of co-culture. The cell death was evaluated by AO/EB staining. Insulin secretion and DNA of islets were detected by chemiluminescence and nucleic acid quantitative analysis. RT-PCR assay was used to examine the mRNA expressions of insulin gene, glueogan gene and somatostatin gene. Flow cytometry analysis was used to detect the viability of B cells. RESULTS: The number of islets in Nec-1 group, TNF-α group and the control group were (8 425±2 187), (4 325±778), and (7 122±1 558) IEQ, respectively. Compared to the other two groups, the number of dead cells in TNF-α group was greatly increased. The insulin/DNA values in the Nec-1 group, TNF-α group and blank control group were (13.21±3.15), (2.47±0.45), and (7.44±0.97) mIU/mg, respectively. Compared to the TNF-α group and the control group, the mRNA relative expression levels of insulin gene (6.73±1.07), glucagon gene (10.13±1.98), somatostatin gene (8.57±1.11) were significantly increased in the Nec-1 group (all <0.05), the rate of live cells (97.32±1.87)% and live B cells (90.86±3.68)% were increased significantly in the Nec-1 group (all <0.05). CONCLUSIONS TNF-α can induce neonatal porcine islet cells damage, which is attenuated in the presence of Nec-1. Nec-1 can increase the content of endocrine cells in NICCs.
Animals ; Imidazoles ; Indoles ; Insulin ; Islets of Langerhans ; Swine ; Tumor Necrosis Factor-alpha ; genetics

Objective:To analyse the epidemiological features of 7 common pathogens of children with respiratory tract infections in our hospital in 2019, to provide theoretical support for the prevention and treatment of respiratory tract infection children in Hebei province.Methods:From January 1, 2019 to December 30, 2019, nasopharyngeal aspiration(NPA)or bronchoalveolar lavage fluid(BALF)were collected from 10 186 outpatient and inpatient children with respiratory tract infection in Children Hospital of Hebei Province.Qualitative detection of RSV, ADV, FIu A, Flu B, and PIV Ⅰ, PIV Ⅱ, PIV Ⅲ was performed by immunofluorescence assay based on fluorescent immunomarker monoclonal antibody.The correlation of detection rate with sex, age and season was analyzed statistically.Results:The total detection rate of common respiratory viruses was 24.66% in 2019.The RSV detection rate was the highest(7.60%)than others, followed by Flu A(7.10%), PIV Ⅲ(6.54%), Flu B(2.01%), ADV(0.75%), PIV Ⅰ(0.38%), PIV Ⅱ(0.23%). Flu A and Flu B detections were highest in the first quarter among 1~3 years olds; ADV detection rate was the highest in the fourth quarter; The detection rate of RSV was highest in the fourth quarter among less than 1 years old; PIV I was the most frequently detected in the fourth quarter.PIV Ⅲ had the highest detection rate in the second quarter.RSV infection was positively correlated with age( r=0.200). Detection of Flu A and Flu B was correlated with seasons( r=0.296, r=0.170). Conclusion:The detection rate of respiratory virus has a certain correlation with age and season.

OBJECTIVE:To establish HPLC fmgerprints of Naodesheng solid dispersion capsules.METHODS:HPLC method was adopted.The determination was performed on Hyspersil ODS2 column with mobile phase consisted of acetonitrile-0.05％ phosphoric acid (gradient elution) at the flow rate of 1.0 mL/min.The detection wavelengths were 210 nm (puerarin),345 nm (hydroxfsaffior yellow A).The column temperature was 30 ℃,and sample size was 10 μL.Using puerarin and hydroxysaffior yellow A as reference,HPLC fingerprints of 10 batches of sample were determined.Similarity evaluation,common peak identification and chemical components confirmation were performed by using Similarity Evaluation System of TCM Chromatographic Fingerprints (2012 edition).RESULTS:There were 29 and 23 common peaks in HPLC fingerprints of 10 batches of samples at 210 nm and 345 nm,respectively.The similarity was higher than 0.90.The medicinal material attribute of common peaks were Panax notoginseng,Ligusticum chuanxiong,Carthamus tinctorius,Pueraia lobata and Crataegus pinnatifida.Moreover,7 chemical components were identified at 210,345 nm,respectively.CONCLUSIONS:Established HPLC fingerprints can provide reference for identification and quality evaluation of Naodesheng solid dispersion capsules.

OBJECTIVE:To elucidate the efficacy and mechanism of Hugan tablets in hepatoprotective effects from perspective of metabolic pathways. METHODS:36 male rats were randomly divided into normal group (0.5%sodium carboxymethyl cellu-lose),model group(0.5%sodium carboxymethyl cellulose)and Hugan tablets group(1.7 g/kg),12 in each group,intragastrically administrated once a day,for 9 d. After 1 h of last administration,rats in model group and Hugan tablets group were intraperitone-ally injected 50%CCl4 peanut oil solution 1 mL/kg to induce liver injury. After 24 h of modeling,malondialdehyde(MDA),super-oxide dismutase(SOD),glutathione peroxidase(GSH-Px)levels in liver tissue of rats were detected. Nuclear magnetic resonance spectroscopy(1H-NMR)metabolomics technique was adopted to establish the serum and liver metabolite profiles of rats,and the ef-fects of Hugan tablets on changes of metabolic profile and potential biomarkers in serum and liver of rats with CCl4-induced acute liver injury were analyzed. RESULTS:Compared with normal group,MDA level in liver tissue of rats in model group was signifi-cantly increased(P<0.05),SOD and GSH-Px levels were significantly reduced(P<0.05). Both body physiology and material me-tabolism of rats were obviously changed,and levels of 11 metabolic potential biomarkers in serum and 14 metabolic potential bio-markers in liver were significantly increased/decreased (P<0.05). Compared with model group,MDA level in liver tissue in Hugan tablets group was significantly reduced(P<0.05),SOD and GSH-Px levels were significantly increased(P<0.05). Serum and liver metabolism tended to be normal,6 metabolic potential biomarkers(isoleucine,leucine,3-hydroxybutyrate,acetone,ace-toacetate,choline) in serum and 8 metabolic potential biomarkers (3-hydroxybutyrate,alanine,glutamate,pyruvate,succinate, choline,lactate,glucose)in liver got significant callback(P<0.05). CONCLUSIONS:The hepatoprotective mechanism of Hugan tablets may be associated with antioxidative stress and regula-tion of lipid metabolism,glucose metabolism and amino acid metabolism.

Objective To optimize the preparative procedure for stachydrine in Fructus Leonuri. Methods The preparation was screened by orthogonal experiment, and a mathematical model of relationship of extraction time, methanol concentration, and solid-liquid ratio with the content of stachydrine hydrochloride was established by using back-propagation (BP) neural network. And the process parameters were optimized with genetic algorithm (GA) . Results The optimum process parameters were as follows: extraction with 69% of methanol concentration and with solid-liquid ratio being 11 times for 62 min. The content of stachydrine obtained by BP neural network modeling and GA was higher than that achieved by orthogonal experiment. Conclusion The optimum preparative procedure could be achieved by combining BP modeling with GA. The model developed in this study was proved to be predictable and feasible for the optimization of process parameters of multi-dimension nonlinear system.

OBJECTIVE:To establish a method for the determination of 4 flavonoids constituents in Yinqiao capsules. METH-ODS:HPLC method was adopted. The Hypersil ODS C18 column was used with the mobile phase A of methanol-water-acetic acid (10∶88∶2,V/V/V)and B of methanol-water-acetic acid(88∶10∶2,V/V/V)in gradient elution at the flow rate of 1.0 ml/min;the de-tection wavelength was 327 nm,the column temperature was 25 ℃,and the volume was 10 μl. RESULTS:There was a good linear relationship between the amount of quercetin and peak area in the range of 0.050 9-1.018 0 μg(r=0.999 8),kaempferide in the range of 0.050 2-1.004 0 μg(r=0.999 5),isorhamnetin in the range of 0.051 0-1.020 0 μg(r=0.999 4)and rutin in the range of 0.050 4-1.007 0 μg(r=0.999 8). RSDs of precision,stability and repeatability tests were <2%. The average recoveries were 100.09%(RSD=0.93%,n=9),99.83%(RSD=0.75%,n=9),100.51%(RSD=1.17%,n=9) and 101.19%(RSD=1.08%,n=9). CONCLUSIONS:The method is amount specific,stable and reproducible and can be used for the quality control of Yinqiao capsules.

To investigate the intervention effects of Morinda officinalis How. on 'Kidney-yang deficiency syndrome' induced by hydrocortisone in rats, the metabolic profiles of rat urine were characterized using proton nuclear magnetic resonance and principal component analysis (PCA) was applied to study the trajectory of urinary metabolic phenotype of rats with 'Kidney-yang deficiency syndrome' under administration of M. officinalis at different time points. Meanwhile, the intervention effects of M. officinalis on urinary metabolic potential biomarkers associated with 'Kidney-yang deficiency syndrome' were also discussed. The experimental results showed that in accordance to the increased time of administration, an obvious tendency was observed that clustering of the treatment group moved gradually closed to that of the control group. Eight potential biomarkers including citrate, succinate, alpha-ketoglutarate, lactate, betaine, sarcosine, alanine and taurine were definitely up- or down-regulated. In conclusion, the effectiveness of M. oficinalis on 'Kidney-yang deficiency syndrome' is proved using the established metabonomic method and the regulated metabolic pathways involve energy metabolism, transmethylation and transportation of amine. Meanwhile, the administration of M. officinalis can alleviate the kidney impairment induced by 'Kidney-yang deficiency syndrome'.

OBJECTIVETo investigate the metabolic profile of hydrocortisone-induced 'Kidney-yang deficiency syndrome'in rats and the intervention effects of Morinda officinalis.

METHODProton nuclear magnetic resonance (1H-NMR) technique was used to analyze the rat metabonome in serum. Orthogonal partial least squares discriminant analysis (OPLS-DA) were processed to analyze the metabonome difference between the control and hydrocortisone treated samples. Twelve potential biomarkers were selected, via the parameter of variable importance in the projection (VIP). Principal components analysis (PCA) was employed to process the data from the M. officinalis. treatment group and the intervention effects of M. officinalis, was investigated through the selected potential biomarkers.

RESULTAfter hydrocortisone treatment, the energy metabolism, amino acids metabolism and gut microflora environment were seriously disturbed and transmethylation was surpressed. M. officinalis could effectively alleviate the disturbance of energy and amino acids metabolism and enhance transmethylation, but could not modulate the gut microflora environment.

CONCLUSIONThe results obtained suggested that metabonomic studies could better reflect the whole status of metabolism in bio-systems, and could be treated as a potential powerful approach in pharmacological studies and investigation of the essence of 'syndrome' in traditional Chinese medicine.

Animals ; Biomarkers ; metabolism ; Drugs, Chinese Herbal ; pharmacology ; therapeutic use ; Kidney ; drug effects ; metabolism ; Male ; Metabolomics ; Morinda ; chemistry ; Rats ; Rats, Sprague-Dawley ; Yang Deficiency ; drug therapy ; metabolism