1.Effects of seed priming on salt tolerance in Prunella vulgaris seed germination under saline conditions.
Xianxiu ZHANG ; Qiaosheng GUO ; Xuelian SHEN
China Journal of Chinese Materia Medica 2009;34(8):944-947
OBJECTIVESelecting an effective way to increase salt-resistance of Prunella vulgaris seed through seed priming technology.
METHODThe treatment of salt stress to P. vulgaris seeds was made by the different concentrations of NaCl solutions. Primed seeds germinated under 0.8% NaCl.
RESULTAs concentrations of NaCl increasing, seed germination percentage, germination index and vitality index reduced. Primed with 15%-35% PEG, 100-500 mg x L(-1) GA3 and 0.4%-2.0% KNO3-KH2PO4 could enhance seeds germination index and vitality index under salt stress while treated with NaCl seeds germination percentage reduced.
CONCLUSIONTreated with PEG, GA3, KNO3-KH2PO4 under proper concentration, the seed vigor, seed resistance under salt stress increased.
Gene Expression Regulation, Plant ; drug effects ; Germination ; drug effects ; Prunella ; drug effects ; physiology ; Salt-Tolerance ; drug effects ; Seeds ; drug effects ; physiology ; Sodium Chloride ; pharmacology
2.Efficacy and safety of non-indwelling urinary catheter during perioperative period of cesarean section:a Meta-analysis
Shan ZHANG ; Xianxiu WEN ; Hua LEI ; Rong LI ; Na LI ; Changmei ZHOU ; Hui LUO
Chongqing Medicine 2017;46(24):3356-3361
Objective To systematically assess the efficacy and safety of non-indwelling urinary catheter during perioperative period of cesarean section.Methods The databases including Medline(PubMed),EMbase,Cochrane Library,CNKI and WanFang Data were retrieved by computer.The randomized controlled trials (RCTs) on the efficacy and safety of non-indwelling urinary catheter during perioperative period of cesarean section were comprehensively collected.Two reviewers independently screened literatures,extracted the data and assessed the quality.The Meta-analysis was conducted by using RevMan 5.3 software.Results A total of 5 RCTs involving 1 090 patients were included.The meta-analysis results showed that compared with the indwelling urinary catheter group,although the non-indwelling urinary catheter group increased the incidence rate of urinary retention[RR=11.67,95%CI(2.22,61.24),P<0.01],but significantly decreased the incidence rate of urinary tract infection(UTI) [RR=0.10,95%CI(0.04,0.26),P< 0.01] and incidence rate of initial urination discomfort [RR=0.17,95%CI (0.04,0.74),P=0.02],significantly shortened the initial time of off-bed activities [SMD=-3.68 ,95%CI(-5.25,-2.12),P<0.01]and hospitalization time [SMD=-1.03,95%CI(-1.67,-0.38),P<0.01].There were no significant differences in the operation time[SMD=-0.13,95%CI(-0.32,0.07),P=0.20] and incidence rate of postpartum hemorrhage (PPH)[RR=1.50,95%CI (0.43,5.26),P=0.53],The incidence rates of bladder injury in the two groups were similar.Conclusion According to the evidence of current clinical researches,selecting non-indwelling urinary catheter in elective cesarean section is effective and safe,prompting that indwelling urinary catheter during the perioperative period of cesarean section is selective rather than routine indwelling.
3.Effects of seed priming on drought tolerence in Prunella vulgaris.
Qiaosheng GUO ; Xianxiu ZHANG ; Xuelian SHEN ; Yuhang CHEN
China Journal of Chinese Materia Medica 2009;34(10):1195-1198
OBJECTIVETo explore an effective way to increase drought tolerance of Prunella vulgaris seed.
METHODThe treatment of drought stress to P. vulgaris seeds was made by the different concentrations of PEG solutions. Primed seeds germinated under 25% PEG.
RESULTAs concentrations of PEG increasing, seed germination percentage, germination index and vitality index reduced. Primed with 20%-25% PEG, 300-500 mg x L(-1) GA3 and 1.6%-2.0% KNO3-KH2PO4 could enhance three population seeds germination index and vitality index under drought stress. Treated with NaCl, seeds germination percentage and germination index of two population increased, which came from Nanjing Zijinshan and Anhui Jinzhai, respectively, while those of seeds from Gansu Chengxian reduced.
CONCLUSIONTreated with PEG, GA3, KNO3-KH2 PO4 under proper concentration, seed vigor, seed resistance under drought stress would increase.
Desert Climate ; Droughts ; Germination ; drug effects ; Kinetin ; pharmacology ; Osmotic Pressure ; drug effects ; Plant Growth Regulators ; pharmacology ; Plant Proteins ; Prunella ; drug effects ; physiology ; Seeds ; drug effects ; physiology ; Sodium ; pharmacology ; Sodium Chloride ; pharmacology ; Temperature
4.Effects of light intensity on physiological and biochemical characteristics of Chrysanthemum morifolium at vegetative stage.
Qiaosheng GUO ; Yanru WANG ; Xianxiu ZHANG ; Miao JIN
China Journal of Chinese Materia Medica 2010;35(5):561-564
OBJECTIVETo study the effect of light intensity on physiological and biochemical characteristics of Chrysanthemum morifolium at the vegetative stage.
METHODThe dynamic response of physiological and biochemical indexes of Ch. morifolium were measured under different treatments (100%, 80%, 60%, 40% and 20% of the full sunlight) at the vegetative stage.
RESULTThe physiological and biochemical indexes of Ch. morifolium showed dynamic changes with the progress of growth and the increase of the treatment time. The soluble sugar content decreased when the light intensity reduced, and had a significant positive correlation with the light intensity. Soluble protein content rose firstly and fell later, malondialdehyde content increased, superoxide dismutase and catalase activity decreased initially and increased afterwards.
CONCLUSIONProper shading benefits the nitrogen accumulation of Ch. morifolium at the vegetative stage, and reduces the strength of stress condition. The suitable light environment for growth of Ch. morifolium at the vegetative stage is about 80%-60% of full sunlight and the optimum treatment time is 20-40 days.
Catalase ; metabolism ; Chrysanthemum ; physiology ; Light ; Lipid Peroxidation ; Superoxide Dismutase ; metabolism
5.Effect of optimized fertilization on spicas biomass and yield of Prunella vulgaris.
Qiaosheng GUO ; Yuhang CHEN ; Li LIU ; Chengya WANG ; Xianxiu ZHANG
China Journal of Chinese Materia Medica 2011;36(21):2932-2936
OBJECTIVETo study the effects of nitrogen (N), phosphorus (P2O5), potassium (K2O) and organic compound fertilizer (OF) on spicas biomass and yield of Prunella vulgaris in order to provide a theoretical basis for good agriculture practice (GAP).
METHODField plot experiments with a 4-variable quadratic orthogonal rotation combination design were adopted, and a function model of spicas yield in P. vulgaris was established.
RESULTThe model analysis showed that spicas yields of P. vulgaris were significantly influenced under the N, P2O5 and K2O applications, among there factors, N had the greatest effects on spicas yield of P. vulgaris, the next was P2O5 and K2O, OF had the smallest effects on spicas yield. At the lower fertility levels, the spicas yields of P. vulgaris were improved along with the increasing of N, P2O5, K2O and OF applications, but the spicas yields decreased when N, P2O5, K2O and OF were applied too much.
CONCLUSIONIn this experiment condition, the spicas yields of P. vulgaris could reach to 722 kg x hm(-2) when the fertilizer rates were N 303. 9-335.1 kg x hm(-2), P2O5 432.5-500.6 kg x hm(-2), K2O 206.6-240.2 kg x hm(-2), OF 2 312.5-2 687.5 kg x hm(-2).
Agriculture ; methods ; Biomass ; Fertilizers ; analysis ; Nitrogen ; analysis ; metabolism ; Phosphorus ; analysis ; metabolism ; Potassium ; analysis ; metabolism ; Prunella ; growth & development ; metabolism
6.Study on seed quality test and quality standard of Prunella vulgaris.
Qiaosheng GUO ; Xianxiu ZHANG ; Yanru WANG ; Li LIU ; Yuhang CHEN
China Journal of Chinese Materia Medica 2009;34(7):812-816
OBJECTIVETo study seed quality test, and establish seed quality classification standard of Prunella vulgaris.
METHODThe seed quality and planting quality of P. vulgaris from different population were measured and these indexes were analyzed by K-clustering.
RESULT AND CONCLUSIONThe seed purity, 1000 seeds weight, seed moisture content, seed viability of the seed of P. vulgaris from different population were measured, and the seed quality classification standard of P. vulgaris.
Cluster Analysis ; Drugs, Chinese Herbal ; chemistry ; classification ; standards ; Prunella ; chemistry ; classification ; physiology ; Quality Control ; Seeds ; chemistry ; classification ; physiology ; Water ; analysis
7.Effect of nutrition intervention on patients with cervical cancer undergoing radiotherapy and chemotherapy
Weiwei ZHAO ; Wei ZHANG ; Li GAO ; Xianxiu NAN ; Xianfeng LI
Cancer Research and Clinic 2020;32(5):335-340
Objective:To explore the effect of nutrition intervention on patients with cervical cancer undergoing chemoradiotherapy.Methods:From October 2016 to October 2018, 60 patients with cervical squamous cell carcinoma confirmed by pathology and treated with radiotherapy and chemotherapy in the First Hospital of Shanxi Medical University were selected. The subjects were randomly divided into the control group (nutrition education + dietary guidance only, 30 cases) and the intervention group (nutrition intervention according to nutrition assessment results, 30 cases) by random number table method. The nutrition assessment for patients was performed with patient-generated subjective global assessment (PG-SGA) scale. The changes of nutrition status, quality of life, incidence of adverse reactions, interruption status of radiotherapy and chemotherapy, and hematological indexes between the two groups in the treatment process were compared.Results:The incidence of moderate and severe malnutrition in the control group and the intervention group in the treatment process was 90% (27/30) and 50% (15/30), respectively, and the difference was statistically significant ( P < 0.01). When the dose of radiotherapy reached 40 Gy, the quality of life of patients in the intervention group was better than that in the control group in some functional fields, symptom fields and overall health status, and the differences were statistically significant (all P < 0.05). The incidence of acute gastrointestinal reaction in the control group and the intervention group was 96.7% (29/30) and 83.3% (25/30), respectively, and the incidence of bone marrow suppression was 96.7% (29/30) and 76.7% (23/30), respectively, and there were statistical differences in the incidence rates of different degrees of acute gastrointestinal reaction and bone marrow suppression between the two groups (both P < 0.05). The interruption rate of radiotherapy in the control group and the intervention group was 26.7% (8/30) and 6.7% (2/30), respectively, and the interruption rate of chemotherapy was 56.0% (14/25) and 26.9% (7/26), respectively, and the differences between the two groups were statistically significant (both P < 0.05). The cycles of chemotherapy completed in the intervention group were more than those in the control group [(4.38±1.10) cycles vs. (3.44±1.58) cycles]. The differences of peripheral blood red blood cells count, hemoglobin, albumin, and total protein between the control group and the intervention group before and after treatment were statistically significant (all P < 0.05), and the decreased values in the intervention group were lower than those in the control group. Conclusion:Nutrition intervention can effectively improve the nutrition status and quality of life of patients with cervical cancer undergoing chemoradiotherapy, reduce the incidence of adverse reactions, chemoradiotherapy interruption rate and decline degree of hematological indexes.
8.The prediction value of depressive symptom dimensions in the efficacy of high-frequency repetitive transcranial magnetic stimulation combined with flupentixol and melitracen tablets for post-stroke depression
Yanping JIANG ; Ruilian ZHANG ; Chengchuan XUE ; Xianxiu LIU
China Pharmacist 2024;27(6):1034-1040
Objective To explore the efficacy of repeated transcranial magnetic stimulation(rTMS)combined with flupentixol and melitracen tablets on post-stroke depression(PSD)and to evaluate the predictive value of depressive symptom dimensions on the efficacy.Methods PSD patients diagnosed and treated in the department of rehabilitation medicine of Jiaozhou Central Hospital of Qingdao from January 2021 to December 2023 were selected as the research subjects,all patients were treated with rTMS combined with flupentixol and melitracen tablets.The National Institutes of Health Stroke Scale(NIHSS),Hamilton Depression(HAMD),and Barthel Index(BI)of PSD patients before and after treatment were evaluated and compared.PSD patients were divided into the effective group and the ineffective group based on treatment effectiveness,and Logistic regression was used to explore the relationship between depression symptom dimensions and treatment outcomes.Using the receiver operating characteristic(ROC)curve to explore the predictive value of depression symptom dimensions on the efficacy of PSD patients.Results A total of 80 PSD patients were included in this study,of which 68 cases were effective in treatment and 12 cases were ineffective in treatment.Compared with before treatment,PSD patients showed a significant decrease in HAMD score,NIHSS score(P<0.05),and BI score was significant increased(P<0.05).The observed mood(OM)score,cognitive score,and neurological symptom(NS)score of PSD patients in the effective group were higher than those in the ineffective group,and the differences were statistically significant(P<0.05).Logistic regression analysis showed that high-level OM score,cognitive score,and NS score were independent protective factors for effective PSD treatment.ROC analysis showed that the baseline OM score,cognitive score,and NS score for ineffective treatment were 0.744[95%CI(0.568,0.921)],0.734[95%CI(0.572,0.896)],and 0.709[95%CI 0.534,0.884)],respectively.Conclusion rTMS combined with flupentixol and melitracen tablets can significantly improve depression symptoms and neurological impairment,and improve the ability of daily living.Moreover,depressive symptom dimensions at baseline can predict the treatment effects of PSD patients.
9.Emotional labor as a mediator between workplace ostracism and emotional exhaustion in nursing professionals
Li GOU ; Shaozhuang MA ; Guofeng WANG ; Weilong ZENG ; Xianxiu WEN ; Yuxia ZHANG
Modern Clinical Nursing 2020;19(6):1-6
Objective To explore the mediation role of emotional labor in the relationship between workplace ostracism and emotional exhaustion, aiming to provide practical implications to manage workplace ostracism. Methods Using time-lagged survey, a total of 370 valid responses were collected at two time points from the nurses in a general hospital in Chengdu, including the data of demographics, workplace ostracism, emotional labor and emotional exhaustion. Structural equation model (SEM) was employed to test the relationships. Results The means of key variables were: workplace ostracism 1.30 (1.00, 1.73),surface acting 1.50 (1.00,2.25), deep acting 3.00 (1.33, 4.00), and emotional exhaustion 3.53 (2.60, 4.20). There was a significant positive relationship between workplace ostracism and surface acting (P<0.01), just as well as the relationship with deep acting and emotional exhaustion (P<0.01). Surface acting led to emotional exhaustion of nurses (P<0.01) and mediated the positive relationship between workplace ostracism and emotional exhaustion. Deep acting was not significantly related to emotional exhaustion (P>0.05). SEM analysis demonstrated an acceptable and reasonable model fit. Conclusions The surveyed nurses reported a medium and low level of perceived workplace ostracism and emotional labor, but a high level of emotional exhaustion. Workplace ostracism has a positive effect on nurses' emotional exhaustion via surface acting. Hospital administration should take measure to prevent and intervene in workplace ostracism, provide organizational and supervisory supports to nurses, and particularly enhance nurse's emotional management skills and encourage use of deep acting strategy to minimize the detrimental effects of workplace ostracism.
10.Development of A Predictive Model for Adverse Inhalation Risk in COPD Inhaler Therapy Using Machine Learning Algorithms
Lijuan ZHOU ; Xianxiu WEN ; Haiyan WU ; Rong JIANG ; Xuan WANG ; Li GOU ; Qin LYU ; Dingding ZHANG ; Qian HUANG ; Xingwei WU
Herald of Medicine 2024;43(9):1509-1518
Objective To construct and validate a risk prediction model for poor inhalation in chronic obstructive pulmonary disease(COPD)patients receiving inhaler therapy,providing a decision support tool for personalized prevention of poor inhalation.Methods A cross-sectional study was conducted to collect data related to COPD patients receiving inhaler therapy,forming a dataset.The dataset was randomly divided into a training set and a test set in a ratio of 4∶1.Four different methods for missing value imputation,3 methods for variable feature selection,and 18 machine learning algorithms were employed to successfully construct 216 models on the training set.The monte carlo simulation method was used for resampling in the test set to validate the models,with the area under curve(AUC),accuracy,precision,recall,and F1 score used to evaluate model performance.The optimal model was selected to build the poor inhalation prediction platform.Results A study involving 308 patients with COPD found that 135(43.8%)were at risk of adverse inhalation.Using 33 predictor variables,216 risk prediction models were developed.Of these models,the ensemble learning algorithm yielded the highest average AUC of 0.844,with a standard deviation of 0.058[95%CI=(0.843,0.845)].The differences in predictive performance among the 216 models were statistically significant(P<0.01).Under the ensemble learning algorithm,adherence to inhaler use(38.087 4%),inhaler satisfaction(25.680 1%),literacy(24.031 3%),number of inhalers(5.482 3%),age(4.204 5%)and number of acute exacerbations in the past year(2.184 7%)contributed most to the predictive model.The model exhibited superior performance,with an AUC of 0.869 3,an accuracy of 83.87%,a precision of 86.96%,a recall of 74.07%,and an F1 score of 0.8.Conclusion This study has developed a predictive model for poor inhalation risk in COPD inhaler therapy patients using machine learning algorithms,which exhibits strong predictive capabilities and holds potential clinical application value.