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1.
Zhongguo Zhong Yao Za Zhi ; 48(14): 3806-3814, 2023 Jul.
Article in Chinese | MEDLINE | ID: mdl-37475072

ABSTRACT

The weight coefficients of appearance traits, extract yield of standard decoction, and total content of honokiol and magnolol were determined by analytic hierarchy process(AHP), criteria importance though intercrieria correlation(CRITIC), and AHP-CRITIC weighting method, and the comprehensive scores were calculated. The effects of ginger juice dosage, moistening time, proces-sing temperature, and processing time on the quality of Magnoliae Officinalis Cortex(MOC) were investigated, and Box-Behnken design was employed to optimize the process parameters. To reveal the processing mechanism, MOC, ginger juice-processed Magnoliae Officinalis Cortex(GMOC), and water-processed Magnoliae Officinalis Cortex(WMOC) were compared. The results showed that the weight coefficients of the appearance traits, extract yield of standard decoction, and total content of honokiol and magnolol determined by AHP-CRITIC weighting method were 0.134, 0.287, and 0.579, respectively. The optimal processing parameters of GMOC were ginger juice dosage of 8%, moistening time of 120 min, and processing at 100 ℃ for 7 min. The content of syringoside and magnolflorine in MOC decreased after processing, and the content of honokiol and magnolol followed the trend of GMOC>MOC>WMOC, which suggested that the change in clinical efficacy of MOC after processing was associated with the changes of chemical composition. The optimized processing technology is stable and feasible and provides references for the modern production and processing of MOC.


Subject(s)
Drugs, Chinese Herbal , Lignans , Magnolia , Zingiber officinale , Magnolia/chemistry , Drugs, Chinese Herbal/chemistry , Biphenyl Compounds/chemistry , Lignans/chemistry
2.
Zhong Yao Cai ; 39(7): 1477-82, 2016 Jul.
Article in Chinese | MEDLINE | ID: mdl-30203942

ABSTRACT

Objective: To analyze ITS region and matK gene sequences of three medicinal Phlomis plants,in order to provide molecular basis for identifying and protecting their wild resources. Methods: PCR and sequencing were conducted on Phlomis likiangensis,Phlomis melanantha and Phlomis betonicoides wild populations by primers pairs ITS4 / ITS5 and matKXF / matK5 R. Results: The smallest inter-K2 P genetic distance was further than the largest intra-K2 P genetic distance in Phlomis likiangensis, Phlomis melanantha and Phlomis betonicoides. Different samples of three medicinal Phlomis plants were gathered together and could be distinguished from other exogenous species by Neighbor-Joining( NJ) tree. Phlomis likiangensis, Phlomis melanantha and Phlomis betonicoides had three, three and one sites on ITS2 for their effective identification, and had three,three and three sites on ITS1 for their effective identification respectively. Phlomis betonicoides had three sites on matK for its effective identification, while Phlomis likiangensis or Phlomis melanantha needed multiple sites for their effective identification. Conclusion: The study implies that ITS1,ITS2 and matK fragments could be used for molecular identification of Phlomis likiangensis, Phlomis melanantha and Phlomis betonicoides.


Subject(s)
DNA Barcoding, Taxonomic , Phlomis , China , DNA, Plant , Plants, Medicinal , Polymerase Chain Reaction , Proto-Oncogene Proteins pp60(c-src)
3.
Chinese Journal of Epidemiology ; (12): 1297-1301, 2009.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-321065

ABSTRACT

<p><b>OBJECTIVE</b>To compare the prevalence rates of metabolic syndrome (MS) in obese children, according to three commonly used 'Pediatric MS definitions': (1) the International Diabetes Federation (IDF), (2) Cook, et al, and(3)da Silva, et al, in order to choose an appropriate one for the Chinese obese children. It was also intended to assess the variances of American or Chinese cutoff values on MS prevalence.</p><p><b>METHODS</b>A retrospective study was performed in obese children from Obesity Outpatient Service Program from January 2004 to December 2008. Subjects were eligible if they met the following criteria: (1) aged 7 to 18 years, (2) with no following conditions as hereditary endocrine or metabolic diseases, secondary obesity, hepatic or renal disease, using medication that alters blood pressure or glucose or lipid metabolism etc., (3) data were complete on the variables of interest. Height, weight and waist circumference, systolic and diastolic blood pressure, fasting lipid profiles, blood sugar and insulin were measured. Insulin resistance was evaluated by homeostasis model assessment (HOMA). American or Chinese cutoff values were used to identify central obesity and hypertension. The prevalence rates of MS under three definitions were calculated and compared by Kappa test to determine the degree of agreement.</p><p><b>RESULTS</b>136 patients with 103 males and 33 females were enrolled in the study. According to the American cutoff value, 19.2%, 34.6%, 52.9% of the subjects were classified as MS under definitions of IDF, Cook, et al, da Silva, et al respectively, matching well with 19.2%, 43.4%, 58.1% when the Chinese cutoff value was used (Kappa = 1, 0.79, 0.90). The degrees of agreement according to the Kappa statistics between Cook, et al and da Silva, et al (0.52, American cutoff value/0.51, Chinese cutoff value) were better than the others (0.24 - 0.4). Children who were diagnosed as MS under the definitions of Cook, et al. or da Silva, et al. appeared to have had serious insulin resistance when compared to those without MS.</p><p><b>CONCLUSION</b>Prevalence of the metabolic syndrome appeared to be high among the obese pediatric outpatients, which was probably due to the definition being chosen. The use of definitions provided by Cook, et al and da Silva, et al might be more suitable for MS diagnosis in obese children in the outpatient department, if insulin resistance was under consideration. Both American and Chinese cutoff value could be used for MS diagnosis in the Chinese obese children.</p>


Subject(s)
Adolescent , Child , Female , Humans , Male , Insulin , Metabolism , Insulin Resistance , Metabolic Syndrome , Epidemiology , Metabolism , Obesity , Epidemiology , Metabolism , Prevalence , Retrospective Studies , Risk Factors
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