Animals ; Apoptosis ; Cardiomegaly ; metabolism ; pathology ; Glycogen Synthase Kinase 3 ; metabolism ; Mice ; Mice, Transgenic ; Myocytes, Cardiac ; cytology

To study the effect of different storage conditions and storage time on herb quality of Lonicera macranthoides, different packaging materials including vacuum plastic bags, plastic bags, woven bags, sealed with endometrial bags, paper bags, sack bags were selected for the study under different storage conditions including room temperature, 5 degrees C refrigerator, low temperature of - 20 degrees C refrigerator and desiccator. Twenty-four batches of samples were used for the study, and active ingredients were determined. The experimental results showed that the ingredients in each storage group changed with the storage time, storage conditions (storage environment, packaging). Under the same storage time, the storage environment (temperature, humidity) had effect on the stability of herb quality. Low temperature had less effect on herb quality. The effect of packaging on herb quality was as following: plastic vacuum packaging > woven with endometrial sealed packaging > plastic bag > woven bag > sack bags > paper bags. Under the same storage conditions, with the increase of storage time, caffeic acid content increased slowly, and other five ingredients content decreased gradually. Storage time affected significantly on the intrinsic quality (chemical composition) and appearance of herb. It is suggested that low temperature (5 degrees C), dark and sealed storage are suitable for storage of L. macranthoides herb, the storage time should be not more than 24 months.
Desiccation ; Drug Packaging ; Drug Storage ; methods ; Drugs, Chinese Herbal ; chemistry ; Lonicera ; chemistry ; Organic Chemicals ; analysis ; Quality Control ; Time Factors

OBJECTIVETo observe the therapeutic effects of Berberine Capsule (BC) on patients with mild hyperlipidemia.

METHODSTotally 102 mild hyperlipemia patients were recruited. All patients were suggested to have proper diet and physical activity as basic therapy for 1 month of run-in period. Totally 97 patients completed it. Then they were randomly assigned to the berberine group (the treatment group, 49 cases) and the placebo group (the control group, 48 cases). Patients in the treatment group took BC 300 mg, while those in the control group took placebo 300 mg, thrice per day for 3 successive months. Then placebos and BC were interrupted for 2 months (as washout period). All subjects received only diet control and physical activity during washout period. After washout period, placebos and BC were re-administered to all patients in the same way for 3 months. Body mass index (BMI), fasting plasma glucose (FPG), TG, TC, LDL-C, and HDL-C were assessed after run-in period, washout period, at month 1, 2, 3 after the first therapy, at month 1, 2, 3 after second treatment, respectively.

RESULTSCompared with the end of run-in period, TG, TC, and LDL-C decreased, and HDL-C increased in the treatment group (P < 0.05) after first 3 months of treatment. Compared with 3 months after the first therapy, TG, TC, and LDL-C increased and HDL-C decreased in the treatment group after washout period (P < 0.05). Compared with the end of wash- out period, TC and LDL-C decreased in the treatment group at month 2 after second treatment (P < 0.05); TG, TC, and LDL-C decreased (P < 0.01, P < 0.05), and HDL-C increased (P < 0.05) at month 3 after second treatment. Compared with the control group at month 3 after second treatment, TG, TC, and LDL-C all decreased, and HDL-C increased in the treatment group (all P < 0.05).

CONCLUSIONBC was effective in improving blood lipid level in mild hyperlipidemia patients.

Berberine ; therapeutic use ; Blood Glucose ; analysis ; Body Mass Index ; Capsules ; Humans ; Hyperlipidemias ; drug therapy ; Lipids ; blood

To ascertain the optimal harvest period of Lonicera Flos (Lonicera macranthoides) the configuration yield and quality of L. macranthiodes bloom verity and bud verity flower at different develop periods were Observed. The quality of L. macranthiodes which harvested at different times of the day was Compared. The configuration was significant difference between different develop period of L. macranthiodes flower. As bud growth, yield increased. Bloom verity of L. macranthoides chlorogenic acid content was significantly lower after opening (silver flower stage, golden flower stage), before opening (young bud stage, green-white stage) have no significant difference of the quality. Bud verity of L. macranthoides macranthoidin B is significant lower at yellow-white stage, young bud stage and green-white stage have no significant difference of the quality. The chlorogenic acid and isochlorogenic acid A content is significant difference between L. macranthoides harvested at different time of the day. The optimal harvest period of bloom verity is the white stage, picking time for 10:00 before and after 18:00. The optimal harvest period is the green-white stage, picking time is 8:00 before and after 18:00.
Agriculture ; Drugs, Chinese Herbal ; analysis ; Flowers ; chemistry ; growth & development ; Lonicera ; chemistry ; growth & development ; Time Factors

Objective To study their chemical components of xianglingcao(Crotalaria ferruginea) and identify their chemical structures.Methods The compounds were isolated by chromatography and their structures were identified by spectral analysis and compared with the published data.Results Ten compounds were isolated and identified as vomifolilol(Ⅰ),genistein(Ⅱ),p-hydroxybenzoic acid(Ⅲ),5,7-dihydroxy-4-methoxy-flavone-7-O-?-D-glycopyranoside(Ⅳ),octadecoic acid(Ⅴ),octacosanol(Ⅵ),?-stitosterol(Ⅶ),?-daucosterol(Ⅷ),stigmasterol(Ⅸ),and ?5,22 stigmasterol-3-O-?-D-glycopyranoside(Ⅹ).Conclusion The ten compounds are obtained from xianglingcao for the first time.

BACKGROUND: It is still a problem to achieve early and accurate diagnosis of Alzheimer's disease, and delayed treatments often occur in a large number of patients because of late diagnosis or misdiagnosis. Therefore, the development and improvement of related bioanalytical methods are of great importance for the biomarker detection of Alzheimer's disease which is still lack of means that are sensitive, efficient and low-cost. OBJECTIVE: To summarize the diagnostic methods and related biomarkers of Alzheimer's disease, and to sum up the research progress in novel biomimetic receptors for the early detection of Alzheimer's disease biomarkers. METHODS: PubMed, CNKI and Wanfang databases were used to search articles related to the biomarker studies of Alzheimer's disease and relevant studies about methods of biomarkers detection published from 2000 to 2016. The key words were "Alzheimer's disease, biomarkers, detect/detecting/detection" in Chinese and English, respectively. Finally 40 articles were obtained for the review. RESULTS AND CONCLUSION: At present, the bioanalytical methods used for biomarker detection of Alzheimer's disease mostly utilize antibodies as recognition and capture elements of biomarkers, but there are some limitations using traditional antibodies as detection receptors. Thus, novel biomimetic receptors can be substituted for conventional antibodies. Novel biomimetic receptors have high specificity, small size, low production costs and high product stability, and their chemical modification process is relatively convenient. Biomimetic receptors developed for protein analysis include aptamers, polypeptide receptors, peptoid receptors, molecularly imprinted polymers, nanobodies, gelsolin and cucurbit urils. Detection of biomarkers with novel biomimetic receptors instead of conventional antibodies will be more accurate and timely in the early diagnosis of Alzheimer's disease.

AIM: To investigate the relationship among MCP-1 and monocyte chemoattract protein activity (MCA) and pathogenesis of lung cancer. METHODS: 173 patients were involved in the study and divided into three groups: group A: lung cancer group (60 patients); group B: benign lung disease group (55 patients) and group C: healthy control group (58 patients). MCP-1 level and MCA in bronchoalveolar lavage fluid (BALF) were measured. RESULTS: The concentration of MCP-1 and MCA in BALF in group A were much higher than those in group B and group C (P

OBJECTIVETo study the effects of different fertilization, measure of breeding seedling, breeding and sowing density on seedlings of Psoralea corylifolia.

METHODThe combination of field sowing and indoor test was applied.

RESULTAll agricultural measures showed positive effect on the growth and development of seedling of P. corylifolia.

CONCLUSIONThe suitable sewing time should be the first and second ten days in March. The suitable sowing density is 150 kg x hm(-2). The combined of application of organic manure and chemical fertilizer is better than using one of them alone.

Agriculture ; methods ; standards ; Animals ; Breeding ; Fertilizers ; Manure ; Plants, Medicinal ; anatomy & histology ; growth & development ; Psoralea ; anatomy & histology ; growth & development ; Quality Control ; Seasons ; Seedlings ; anatomy & histology ; growth & development

Background: Early diagnosis and accurate staging are important to improve the cure rate and prognosis for pancreatic cancer.This study was performed to develop an automatic and accurate imaging processing technique system,allowing this system to read computed tomography(CT)images correctly and make diagnosis of pancreatic cancer faster.Methods: The establishment of the artificial intelligence(AI)system for pancreatic cancer diagnosis based on sequential contrast-enhanced CT images were composed of two processes: training and verification.During training process,our study used all 4385 CT images from 238 pancreatic cancer patients in the database as the training data set.Additionally,we used VGG16,which was pre-trained in ImageNet and contained 13 convolutional layers and three fully connected layers,to initialize the feature extraction network.In the verification experiment,we used sequential clinical CT images from 238 pancreatic cancer patients as our experimental data and input these data into the faster region-based convolution network(Faster R-CNN)model that had completed training.Totally,1699 images from 100 pancreatic cancer patients were included for clinical verification.Results: A total of 338 patients with pancreatic cancer were included in the study.The clinical characteristics(sex,age,tumor location,differentiation grade,and tumor-node-metastasis stage)between the two training and verification groups were insignificant.The mean average precision was 0.7664,indicating a good training effect of the Faster R-CNN.Sequential contrast-enhanced CT images of 100 pancreatic cancer patients were used for clinical verification.The area under the receiver operating characteristic curve calculated according to the trapezoidal rule was 0.9632.It took approximately 0.2 s for the Faster R-CNN AI to automatically process one CT image,which is much faster than the time required for diagnosis by an imaging specialist.Conclusions: Faster R-CNN AI is an effective and objective method with high accuracy for the diagnosis of pancreatic cancer.

OBJECTIVETo detemine the genetic diversity of Coptis chinensis.

METHOD32 germplasmic resources of C. chinensis were analyzed by ISSR molecular markers. To make up the systematic diagram of genetic relationship by TREECONW software and clustered by UPGMA method.

RESULTA total of 106 ISSR bands were scored, among which 51 were polymorphic bands. The average percentage of polymorphic bands was 48. 1%. Genetic similarity coefficient were changed from 0. 825 8 to 0. 935 1. By cluster analysis, the geographical distribution is not very obvious, but it was also showed some of the C. chinensis from the same region were in the same group which presented the law of geographical distribution in the tested materials.

CONCLUSIONDifferent germplasms diversity of C. chinensis is low and the relationship of C. chinensis is close.

Biodiversity ; China ; Cluster Analysis ; Coptis ; classification ; genetics ; DNA, Plant ; genetics ; Genetic Variation ; Plant Leaves ; genetics ; Plants, Medicinal ; classification ; genetics ; Repetitive Sequences, Nucleic Acid ; genetics