2.Research on Water Extraction Process of Flos Lonicerae-Fructus Forsythuae Based on Network Pharmacology and Design Space
Ting CUI ; Meizhou LI ; Lifan GAN ; Jiaming LIN ; Lijin LIANG ; Xingpeng HUANG ; Zhipeng ZHANG
Journal of Nanjing University of Traditional Chinese Medicine 2024;40(1):47-60
OBJECTIVE To optimize the water extraction process of Flos Lonicerae-Fructus Forsythuae and determine the range of water extraction process parameters.METHODS The active components were screened by network pharmacology,and the indica-tor ingredients were determined in combination with the quality markers under the relevant terms of Chinese Pharmacopoeia 2020 edition and the literature.Take extraction yield and the extraction rate of the indicative component as the critical quality attributes of the water extraction process to screen critical process parameters.The mathematical model was established by Box-Behnken experimental design to investigate the interaction between CQAs and CPPs and build the design space of the water extraction process of Flos Lonicerae-Fruc-tus Forsythuae.RESULTS The extraction percentages of phenolic acids,forsythoside A and forsythin were screened as the index components;specifications of medicinal slices,extraction time and water addition were the key process parameters.Based on the estab-lishment and optimization of the design space,the optimum water extraction process was obtained as follows:the medicinal slice of Lian-Qiao was broken into 0.8-1.2 cm,adding 12 times the amount of water in the first and extract for 30-50 min,10 times the a-mount of water in the second and extract for 25-30 min.CONCLUSION The verification results show that the measured value ob-tained by using the design space method to optimize the water extraction process is close to the predicted value,indicating that the method is stable and reliable,which can provide ideas for its further process development and quality control for the couple medicines of Flos Lonicerae-Fructus Forsythuae.
3.Clinical study of Guishao Liujunzi Decoction with TCM mouthrinse for the treatment of Hp-associated gastritis
Lifan TIAN ; Chunlin WANG ; Yiping ZHANG ; Lei YE ; Jiangyan LI
China Modern Doctor 2024;62(5):78-81
Objective To observe the clinical efficacy of Guishao Liujunzi Decoction combined with traditional Chinese medicine(TCM)mouthrinse in the treatment of helicobacter pylori(Hp)associated gastritis,and its effect on the Hp conversion rate.Methods Eighty patients with Hp-related gastritis were selected and randomly divided into the control group(standard quadruple therapy)and the treatment group(standard quadruple therapy combined with Guishao Liujunzi Decoction and TCM mouthrinse),with 40 patients in each group.The clinical efficacy,TCM syndrome scores,and Hp conversion rate of the two groups were observed.Results The total effective rate of the treatment group(95%)was higher than that of the control group(72.5%)(P<0.05).The Hp conversion rate in the treatment group(90%)was higher than that in the control group(72.5%)(P<0.05).After treatment,the main symptom scores and total scores of the two groups decreased compared to before treatment,and the treatment group was lower than the control group(P<0.05).Conclusion The combination of modified Guishao Liujunzi decoction and TCM mouthrinse in the treatment of Hp-related gastritis can significantly improve clinical efficacy and Hp negative conversion rate compared to conventional treatment.
4.Summary of best evidence for general anesthesia health education in adult patients undergoing selective surgery
Xing LIU ; Taohong MA ; Yali WANG ; Kexin FENG ; Lifan ZHANG ; Peipei LI
Chinese Journal of Modern Nursing 2024;30(10):1329-1335
Objective:To retrieve, evaluate, and integrate the best evidence of general anesthesia health education for adult patients undergoing elective surgery, so as to provide a basis for clinical health education guidance.Methods:Evidence-based questions were established based on the population, intervention, professional, outcome, setting and type of evidence (PIPOST) model. All evidence on general anesthesia health education for adult patients undergoing elective surgery were retrieved from databases or professional association websites such as Cochrane Library, British Medical Journal (BMJ) Best Practice, UpToDate, Agency for Healthcare Research and Quality, Guidelines International Network, National Institute for Health and Clinical Excellence, Clinical Guidelines Library, PubMed, China National Knowledge Infrastructure, WanFang Data, Medlive, American Society of Anesthesiologists, and Society of Anesthesiology of the Chinese Medical Association. The search period was from database establishment to June 18, 2023. Two researchers screened and evaluated the quality of the included literature, extracted and integrated the evidence to form the best evidence for general anesthesia health education in adult patients undergoing selective surgery.Results:A total of 10 articles were included, including four guidelines, three clinical decision-making, and three expert consensus. A total of 41 pieces of evidence on general anesthesia health education for adult patients undergoing elective surgery were extracted, including six aspects of anesthesia overview, pre-anesthesia evaluation, pre-anesthesia preparation, anesthesia process and cooperation, anesthesia recovery period management, and postoperative management.Conclusions:The best evidence of general anesthesia health education for adult patients undergoing selective surgery summarized can provide a basis for comprehensive and systematic education of anesthesia health educators.
5.Psychometric properties of the Chinese version of the Self-Confidence Scale for Clean Intermittent Self-Catheterization
Sufang QIN ; Lina ZHAO ; Lifan ZHANG ; Kaixia GAO ; Bin ZHANG ; Zhuolun TIAN ; Junping GAO
Chinese Journal of Modern Nursing 2024;30(25):3395-3401
Objective:To translate the Self-Confidence Scale for Clean Intermittent Self-Catheterization (SCSCISC) into Chinese and test its reliability and validity.Methods:Following the Brislin questionnaire translation principles, the English version of SCCSISC was translated, back translated, culturally adapted, consulted with experts, and pre-surveyed to form the Chinese version of SCCSISC. From June to September 2023, 237 patients with neurogenic bladder admitted to the First Hospital of Shanxi Medical University were selected as survey subjects by the convenient sampling method. The critical ratio method was used for project analysis, and Cronbach's α coefficient, split half reliability, and test-retest reliability were used to evaluate the reliability of the scale. Content validity and construct validity were used to test the validity of the scale.Results:The Cronbach's α coefficient of the Chinese version of SCCSISC was 0.976, the split half coefficient was 0.962, and the test-retest reliability was 0.876. The item-level content validity index ( I- CVI) of the Chinese version of SCCSISC was 0.86 to 1.00, and the scale-level content validity index ( S- CVI) was 0.93, with Kappa consistency coefficients above 0.74. Two common factors were extracted through exploratory factor analysis, with a cumulative variance contribution rate of 73.42%. Conclusions:The Chinese version of SCCSISC has good reliability and validity, and can be used as a tool for self-confidence measurement of clean intermittent self-catheterization among patients with neurogenic bladder in China.
6.Cytomegalovirus antigen-specific T cell immune responses in patients with autoimmune diseases under different cytomegalovirus infection status.
Yuting TAN ; Huimin MA ; Xiaoqing LIU ; Xiaochun SHI ; Wenjie ZHENG ; Jingtao CUI ; Lifan ZHANG ; Yaling DOU ; Baotong ZHOU
Chinese Medical Journal 2023;136(19):2386-2388
7.Discovery of ARF1-targeting inhibitor demethylzeylasteral as a potential agent against breast cancer.
Jie CHANG ; Ruirui YANG ; Lifan CHEN ; Zisheng FAN ; Jingyi ZHOU ; Hao GUO ; Yinghui ZHANG ; Yadan LIU ; Guizhen ZHOU ; Keke ZHANG ; Kaixian CHEN ; Hualiang JIANG ; Mingyue ZHENG ; Sulin ZHANG
Acta Pharmaceutica Sinica B 2022;12(5):2619-2622
Image 1.
8.Comparison of machine learning and Logistic regression model in predicting acute kidney injury after cardiac surgery: data analysis based on MIMIC-Ⅲ database
Wei XIONG ; Lifan ZHANG ; Kai SHE ; Guo XU ; Shanglin BAI ; Xuan LIU
Chinese Critical Care Medicine 2022;34(11):1188-1193
Objective:To establish an acute kidney injury (AKI) prediction model in patients after cardiac surgery by extreme gradient boosting (XGBoost) machine learning model, and to explore the risk and protective factors for AKI in patients after cardiac surgery.Methods:All patients who underwent cardiac surgery in Medical Information Mart for Intensive Care-Ⅲ (MIMIC-Ⅲ) database were enrolled, and they were divided into AKI group and non-AKI group according to whether AKI developed within 14 days after cardiac surgery. Their clinical characteristics were compared. Based on five-fold cross-validation, XGBoost and Logistic regression were used to establish the prediction model of AKI after cardiac surgery. And the area under the receiver operator characteristic curve (AUC) of the models was compared. The output model of XGBoost was interpreted by Shapley additive explanations (SHAP).Results:A total of 6 912 patients were included, of which 5 681 (82.2%) developed AKI within 14 days after the operation, and 1 231 (17.8%) did not. Compared with the non-AKI group, the main characteristics of AKI group included older age [years: 68.0 (59.0, 76.0) vs. 62.0 (52.0, 71.0)], higher incidence of emergency admission and complicated with obesity and diabetes (52.4% vs. 47.8%, 9.0% vs. 4.0%, 32.0% vs. 22.2%), lower respiratory rate [RR; bpm: times/min: 17.0 (14.0, 20.0) vs. 19.0 (15.0, 22.0)], lower heart rate [HR; bpm: 80.0 (67.0, 89.0) vs. 82.0 (71.5, 93.0)], higher blood pressure [mmHg (1 mmHg ≈ 0.133 kPa): 80.0 (70.7, 90.0) vs. 78.0 (70.0, 88.0)], higher hemoglobin (Hb), blood glucose, blood K + level and serum creatinine [SCr; Hb (g/L): 122.0 (109.0, 136.0) vs. 120.0 (106.0, 135.0), blood glucose (mmol/L): 7.3 (6.1, 8.9) vs. 6.8 (5.7, 8.5), blood K + level (mmol/L): 4.2 (3.9, 4.7) vs. 4.2 (3.8, 4.6), SCr (μmol/L): 88.4 (70.7, 106.1) vs. 79.6 (70.7, 97.2)], lower albumin (ALB) and triacylglycerol [TG; ALB (g/L): 38.0 (35.0, 41.0) vs. 39.0 (37.0, 42.0), TG (mmol/L): 1.4 (1.0, 2.0) vs. 1.5 (1.0, 2.2)] as well as higher incidence of multiple organ dysfunction syndrome (MODS) and sepsis (30.6% vs. 16.2%, 3.3% vs. 1.9%), with significant differences (all P < 0.05). In the output model of Logistic regression, important predictors were lactic acid [Lac; odds ratio ( OR) = 1.062, 95% confidence interval (95% CI) was 1.030-1.100, P = 0.005], obesity ( OR = 2.234, 95% CI was 1.900-2.640, P < 0.001), male ( OR = 0.858, 95% CI was 0.794-0.928, P = 0.049), diabetes ( OR = 1.820, 95% CI was 1.680-1.980, P < 0.001) and emergency admission ( OR = 1.278, 95% CI was 1.190-1.380, P < 0.001). Receiver operator characteristic curve (ROC curve) analysis showed that the AUC of the Logistic regression model for predicting AKI after cardiac surgery was 0.62 (95% CI was 0.61-0.67). After optimizing the XGBoost model parameters by grid search combined with five-fold cross-validation, the model was trained well with no overfitting or overfitting. ROC analysis showed that the AUC of XGBoost model for predicting AKI after cardiac surgery was 0.77 (95% CI was 0.75-0.80), which was significantly higher than that of Logistic regression model ( P < 0.01). After SHAP treatment, in the output model of XGBoost, age and ALB were the most important predictors of the final outcome, where age was the risk factor (average |SHAP value| was 0.434), and ALB was the protective factor (average |SHAP value| was 0.221). Conclusions:Age is an important risk factor for AKI after cardiac surgery, and ALB is a protective factor. The performance of machine learning in predicting cardiac and vascular surgery-associated AKI is better than the traditional Logistic regression. XGBoost can analyze the more complex relationship between variables and outcomes, and can predict the risk of postoperative AKI more accurately and individually.
9.Clinical features and influencing factors of long-term prognosis in patients with tuberculous meningitis
Zhengrong YANG ; Lifan ZHANG ; Baotong ZHOU ; Xiaochun SHI ; Wei CAO ; Hongwei FAN ; Zhengyin LIU ; Taisheng LI ; Xiaoqing LIU
Chinese Journal of Internal Medicine 2022;61(7):764-770
Objective:To investigate the clinical features and influencing factors of long-term prognosis of tuberculous meningitis(TBM), and to provide a recommendation for treatment and early intervention of TBM.Methods:Clinical data of TBM patients were retrospectively collected at Peking Union Medical College Hospital from January 2014 to December 2021. Patients who were followed-up more than one year were divided into two groups according to modified Rankin Scale (mRS). Risk factors associated with long-term prognosis were analyze by conditional logistic stepwise regression.Results:A total of 60 subjects were enrolled including 33 (55%) males and 27 (45%) females with age 15-79 (44.5±19.8) years. There were 30 cases (50%) complicated with encephalitis, 21 cases (35%) with miliary tuberculosis. The diagnosis was microbiologically confirmed in 22 patients (36.7%), including 5 cases (22.7%, 5/22) by acid-fast staining, 8 cases (36.4%, 8/22) by Mycobacterium tuberculosis (MTB) culture, and 20 cases (90.9%, 20/22) by molecular biology. The median follow-up period was 52(43, 66 ) months in 55 cases surviving more than one year. Among them, 40 cases (72.7%) were in favorable group (mRS 0-2) and 15 cases (27.3%) were in unfavorable group (mRS 3-6) with poor prognosis. The mortality rate was 20% (11/55). Elderly ( OR=1.06, P=0.048 ) , hyponatremia( OR=0.81, P=0.020), high protein level in cerebrospinal fluid (CSF) ( OR=3.32, P=0.033), cerebral infarction( OR=10.50, P=0.040) and hydrocephalus( OR=8.51, P=0.049) were associated with poor prognosis in TBM patients. Conclusions:The mortality rate is high in patients with TBM. Molecular biology tests improves the sensitivity and shorten the diagnosis time of TBM. Elderly, hyponatremia, high protein level in CSF, cerebral infarction and hydrocephalus are independent risk factors of long-term survival in TBM patients.
10.Mycobacterium tuberculosis latency-associated antigen Rv1733c SLP improves the accuracy of differential diagnosis of active tuberculosis and latent tuberculosis infection.
Lifan ZHANG ; Huimin MA ; Shijun WAN ; Yueqiu ZHANG ; Mengqiu GAO ; Xiaoqing LIU
Chinese Medical Journal 2021;135(1):63-69
BACKGROUND:
Differential diagnosis of active tuberculosis (ATB) and latent tuberculosis infection (LTBI) has been a challenge for clinicians in high TB burden countries. The purpose of this study was to improve the accuracy of differential diagnosis of ATB and LTBI by using fluorescent immunospot (FluoroSpot) assay to detect specific Th1 cell immune responses. The novel mycobacterium tuberculosis (MTB) latency-associated antigens Rv1733c and synthetic long peptides derived from Rv1733c (Rv1733c SLP) were used based on virulence factors early secreting antigen target-6 (ESAT-6) and culture filtrate protein-10 (CFP-10).
METHODS:
Fifty-seven ATB cases, including 20 pathogen-confirmed ATB and 37 clinically diagnosed ATB, and 36 LTBI cases, were enrolled between January and December 2017. FluoroSpot assay was used to detect the interferon γ (IFN-γ) and interleukin 2 (IL-2) secreted by the specific T cells after being stimulated with MTB virulence factors ESAT-6 and CFP-10, MTB latency-associated antigens Rv1733c and Rv1733c SLP. The receiver operating characteristic (ROC) curve was used to define the best cutoff value of latency-associated antigens in the use of differentiating ATB and LTBI. The sensitivity, specificity, predictive value, and likelihood ratio of ESAT-6 and CFP-10-FluoroSpot combined with latency-associated antigen in the differential diagnosis of ATB and LTBI were also calculated.
RESULTS:
Following the stimulation with Rv1733c and Rv1733c SLP, the frequency of single IL-2-secreting T cells stimulated by Rv1733c SLP had the largest area under the ROC curve, which was 0.766. With a cutoff value of 1 (spot-forming cells [SFCs]/2.5 × 105 peripheral blood mononuclear cells) for frequency, the sensitivity and specificity of distinguishing ATB from LTBI were 72.2% and 73.7%, respectively. ESAT-6 and CFP-10-FluoroSpot detected the frequency and proportion of single IFN-γ-secreting T cells; the sensitivity and specificity of distinguishing ATB from LTBI were 82.5% and 66.7%, respectively. Combined with the frequency of single IL-2-secreting T cells stimulated by Rv1733c SLP on the basis of ESAT-6 and CFP-10-FluoroSpot, the sensitivity and specificity increased to 84.2% and 83.3%, respectively.
CONCLUSION
Rv1733c SLP, combined with ESAT-6 and CFP-10, might be used as a candidate antigen for T cell-based tuberculosis diagnostic tests to differentiate ATB from LTBI.
Antigens, Bacterial
;
Diagnosis, Differential
;
Humans
;
Latent Tuberculosis/diagnosis*
;
Leukocytes, Mononuclear
;
Mycobacterium tuberculosis
;
Tuberculosis/diagnosis*

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