1.Correlation Analysis of Huanglian Jiedu Wan on Syndrome Improvement and Clinical Biomarkers of "Excess Heat-Toxicity" Based on Machine Learning Model
Qi LI ; Keke LUO ; Baolin BIAN ; Hongyu YU ; Mengxiao WANG ; Mengyao TIAN ; Wen XIA ; Yuan MA ; Xinfang ZHANG ; Pengyue LI ; Nan SI ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):162-173
ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally, the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome, such as oral ulcers, sore throat, and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation, oxidative stress, and energy metabolism in the early phase, Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting (XGBoost) algorithm was used to develop a prediction model for main symptom classification, with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers, sore throat, and overall symptoms, with significant effects observed especially in sore throat and overall symptom analyses (P<0.01). Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement, were also called "heat-related biomarkers", including succinic acid, α-ketoglutaric acid, glycine, lactic acid, adenosine monophosphate (AMP), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and so on. Conversely, clinical biomarkers negatively correlated with symptom severity, were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan, including malic acid, fumaric acid, cis-aconitic acid, adrenocorticotropic hormone (ACTH), IL-1β, IL-4, IL-8, succinic acid, and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables, with importance scores of 0.081 and 0.080, respectively. After screening out 14 key variables and optimizing the parameters, model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables, confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established, achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.
2.Correlation Analysis of Huanglian Jiedu Wan on Syndrome Improvement and Clinical Biomarkers of "Excess Heat-Toxicity" Based on Machine Learning Model
Qi LI ; Keke LUO ; Baolin BIAN ; Hongyu YU ; Mengxiao WANG ; Mengyao TIAN ; Wen XIA ; Yuan MA ; Xinfang ZHANG ; Pengyue LI ; Nan SI ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):162-173
ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally, the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome, such as oral ulcers, sore throat, and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation, oxidative stress, and energy metabolism in the early phase, Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting (XGBoost) algorithm was used to develop a prediction model for main symptom classification, with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers, sore throat, and overall symptoms, with significant effects observed especially in sore throat and overall symptom analyses (P<0.01). Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement, were also called "heat-related biomarkers", including succinic acid, α-ketoglutaric acid, glycine, lactic acid, adenosine monophosphate (AMP), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and so on. Conversely, clinical biomarkers negatively correlated with symptom severity, were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan, including malic acid, fumaric acid, cis-aconitic acid, adrenocorticotropic hormone (ACTH), IL-1β, IL-4, IL-8, succinic acid, and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables, with importance scores of 0.081 and 0.080, respectively. After screening out 14 key variables and optimizing the parameters, model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables, confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established, achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.
3.Key Information Research and Ancient and Modern Application Analysis of Classic Prescription Houpo Sanwutang
Wenli SHI ; Qing TANG ; Huimin CHEN ; Jialei CAO ; Bingqi WEI ; Lan LIU ; Keke LIU ; Yun ZHANG ; Yujie CHANG ; Yihan LI ; Jingwen LI ; Bingxiang MA ; Lvyuan LIANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(20):214-221
Houpo Sanwutang, included in the Catalogue of Ancient Classical Prescriptions (Second Batch), was first recorded in the Synopsis of Golden Chamber written by ZHANG Zhongjing from the Eastern Han dynasty and was modified by successive generations of medical experts. A total of 37 pieces of effective data involving 37 ancient Chinese medical books were retrieved from different databases. Through literature mining, statistical analysis, and data processing, combined with modern articles, this study employed bibliometrics to investigate the historical origin, composition, decoction methods, clinical application, and other key information. The results showed that the medicinal origin of Houpo Sanwutang was clearly documented in classic books. Based on the conversion of the measurements from the Han Dynasty, it is recommended that 110.4 g Magnolia Officinalis Cortex, 55.2 g Rhei Radix et Rhizoma, and 72 g Aurantii Fructus Immaturus should be taken. Magnolia Officinalis Cortex and Aurantii Fructus Immaturus should be decocted with 2 400 mL water first, and 1 000 mL should be taken from the decocted liquid. Following this, Rhei Radix et Rhizoma should be added for further decoction, and then 600 mL should be taken from the decocted liquid. A single dose of administration is 200 mL, and the medication can be stopped when patients restore smooth bowel movement. Houpo Sanwutang has the effect of moving Qi, relieving stuffiness and fullness, removing food stagnation, and regulating bowels. It can be used in treating abdominal distending pain, guarding, constipation, and other diseases with the pathogenesis of stagnated heat and stagnated Qi in the stomach. The above results provide reference for the future development and research of Houpo Sanwutang.
4.Inhibitory effect of safranal on proliferation,migration and phenotypic transformation of vascular smooth muscle cells of rats induced by high glucose in vitro
Yixuan GAO ; Peng WANG ; Silong ZHANG ; Ruijuan GAO ; Yingfang MA ; Keke ZHANG ; Dan FENG ; Zongqi HUANG ; Ketao MA ; Li LI ; Junqiang SI
Journal of Jilin University(Medicine Edition) 2025;51(4):948-957
Objective:To discuss whether safranal affects the proliferation,migration,and phenotypic transformation of the vascular smooth muscle cells(VSMCs)in a high-glucose environment and to clarify the function of safranal in the prevention and treatment of diabetic(DM)vascular complications.Methods:The SD rats were selected as experimental subjects;primary VSMCs were cultured from rat thoracic aortas and divided into control group,25 mmol·L-1 high glucose(HG)group,HG+20 μmol·L-1 safranal group,HG+40 μmol·L-1 safranal group,and HG+80 μmol·L-1 safranal group.The cells in control group received no treatment;the cells in 25 mmol·L-1 HG group were pretreated with 25 mmol·L-1 HG;the cells in HG+20,40,and 80 μmol·L-1 safranal groups were further treated with 20,40,and 80 μmol·L-1 safranal respectively for 48 h on the basis of 25 mmol·L-1 HG group.Cell counting kit-8(CCK-8)method was used to determine the appropriate concentration of safranal and detect the viabilities of the VSMCs in various groups;cell scratch healing assay was used to detect the scratch healing rates of the VSMCs in various groups;Transwell chamber assay was used to detect the numbers of the migration VSMCs in various groups;immunofluorescence method was used to detect the fluorescence intensities of alpha-smooth muscle actin(α-SMA)and rabbit anti-osteopontin(OPN)in the VSMCs in various groups;Western blotting method was used to detect the expression levels of OPN,α-SMA,and proliferating cell nuclear antigen(PCNA)in the VSMCs in various groups.Results:Under microscope,on the 4th day of in vitro culture,the spindle-shaped or triangular cells crawled out from the edge of the thoracic aorta tissue blocks,with long spindle being the most common morphology.On the 14th,the cells gradually covered the bottom of the dish;when cell density reached 80%-90%,the characteristic"hills and valleys"growth pattern appeared.Third-generation cells were taken for immunofluorescence identification;immunofluorescence staining with VSMC-specific marker α-SMA showed positive expression of α-SMA protein in the primarily cultured VSMCs.The CCK-8 assay results showed that compared with control group,the cell viability of the cells in 160 μmol·L-1 safranal group was significantly decreased(P<0.01),indicating toxic damage to the cells.Under the conditions of safranal concentrations at 20,40,and 80 μmol·L-1 respectively,after 48 h intervention on VSMCs,no significant adverse effect on cell viability was observed;considering both the effect and toxicity of safranal,these three concentrations were used in subsequent cell experiments.After 48 h intervention,compared with control group,the activity of the VSMCs in 25 mmol·L-1 HG group was increased(P<0.001);compared with 25 mmol·L-1 HG group,the activities of the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were gradually decreased(P<0.05).The cell scratch healing assay and Transwell assay results showed that after 48 h intervention,the scratch healing rate of the VSMCs in 25 mmol·L-1 HG group was significantly higher than that in control group(P<0.01),and the number of transmembrane cells through the Transwell chamber was significantly increased(P<0.05);compared with 25 mmol·L-1 HG group,the scratch healing rates of the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were gradually decreased(P<0.05),and the number of transmembrane cells was decreased(P<0.05).The immunofluorescence staining results showed that compared with control group,the fluorescence intensity of α-SMA protein in the VSMCs in 25 mmol·L-1 HG group was significantly weakened(P<0.001),while the fluorescence intensity of OPN protein was significantly enhanced(P<0.001);compared with 25 mmol·L-1 HG group,the fluorescence intensities of α-SMA protein in the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were gradually increased(P<0.05),and the fluorescence intensities of OPN were gradually weakened(P<0.05).The Western blotting method results showed that compared with control group,the expression level of α-SMA protein in the VSMCs in 25 mmol·L-1 HG group was decreased(P<0.05),and the expression levels of PCNA and OPN proteins were increased(P<0.01);compared with 25 mmol·L-1 HG group,the expression level of α-SMA protein in the VSMCs in HG+20,40,and 80 μmol·L-1 safranal groups were increased(P<0.05),and the expression levels of PCNA and OPN proteins were decreased(P<0.05).Conclusion:Safranal can inhibit the proliferation,migration,and phenotypic transformation of the VSMCs induced by high glucose.
5.Preclinical and clinical studies on Qin-Zhu-Liang-Xue decoction: insights from network pharmacology and implications for atopic dermatitis treatment.
Keke HUANG ; Qingkai LIU ; Ruoxi ZHANG ; Hua NIAN ; Ying LUO ; Yue LUO ; Xiaoya FEI ; Le KUAI ; Bin LI ; Yimei TAN ; Su LI ; Xin MA
Frontiers of Medicine 2025;19(1):134-148
To investigate the protective effects and underlying mechanisms of Qin-Zhu-Liang-Xue decoction (QZLX) in atopic dermatitis (AD) and glucocorticoid resistance, we conducted a single-blinded, randomized controlled clinical trial to evaluate the efficacy and safety of this concoction. Network pharmacology analysis was performed and validated through clinical studies. The efficacy, safety, and mechanism of action of QZLX and glucocorticoid receptor (GR) α recombinant protein were assessed in AD mice induced by 2,4-dinitrofluorobenzene (DNFB). Correlation analysis was performed to determine the clinical relevance of GRα. The trial demonstrated that patients who received QZLX showed considerable improvements in their Scoring Atopic Dermatitis (SCORAD) and Dermatology Life Quality Index (DLQI) scores compared with those who received mizolastine at week 4. Network pharmacological analysis identified GRα as a key target for QZLX in AD treatment. QZLX administration increased the serum GRα expression in AD patients, alleviated AD symptoms in mice, decreased inflammatory cytokine expression, and increased GRα expression without affecting liver or kidney function. In addition, GRα recombinant protein improved AD-like skin lesions in DNFB-induced mice. A negative correlation was observed between GRα expression and clinical parameters, including SCORAD, DLQI, and serum IgE levels. QZLX alleviates AD symptoms through the upregulation of GRα and thus presents a novel therapeutic strategy for the prevention of glucocorticoid resistance in AD management.
Dermatitis, Atopic/drug therapy*
;
Animals
;
Drugs, Chinese Herbal/administration & dosage*
;
Humans
;
Mice
;
Network Pharmacology
;
Male
;
Female
;
Adult
;
Receptors, Glucocorticoid/metabolism*
;
Disease Models, Animal
;
Single-Blind Method
;
Middle Aged
;
Young Adult
6.Textual Research and Clinical Application Analysis of Classic Formula Fangji Fulingtang
Xiaoyang TIAN ; Lyuyuan LIANG ; Mengting ZHAO ; Jialei CAO ; Lan LIU ; Keke LIU ; Bingqi WEI ; Yihan LI ; Jing TANG ; Yujie CHANG ; Jingwen LI ; Bingxiang MA ; Weili DANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):270-277
The classic formula Fangji Fulingtang is from ZHANG Zhongjing's Synopsis of the Golden Chamber in the Eastern Han dynasty. It is composed of Stephaniae Tetrandrae Radix, Astragali Radix, Cinnamomi Ramulus, Poria, and Glycyrrhizae Radix et Rhizoma, with the effects of reinforcing Qi and invigorating spleen, warming Yang and promoting urination. By a review of ancient medical books, this paper summarizes the composition, original plants, processing, dosage, decocting methods, indications and other key information of Fangji Fulingtang, aiming to provide a literature basis for the research, development, and clinical application of preparations based on this formula. Synonyms of Fangji Fulingtang exist in ancient medical books, while the formula composition in the Synopsis of the Golden Chamber is more widespread and far-reaching. In this formula, Stephaniae Tetrandrae Radix, Astragali Radix, Cinnamomi Ramulus, Poria, and Glycyrrhizae Radix et Rhizoma are the dried root of Stephania tetrandra, the dried root of Astragalus embranaceus var. mongholicus, the dried shoot of Cinnamomum cassia, the dried sclerotium of Poria cocos, and the dried root and rhizome of Glycyrrhiza uralensis, respectively. Fangji Fulingtang is mainly produced into powder, with the dosage and decocting method used in the past dynasties basically following the original formula. Each bag is composed of Stephaniae Tetrandrae Radix 13.80 g, Astragali Radix 13.80 g, Cinnamomi Ramulus 13.80 g, Poria 27.60 g, and Glycyrrhizae Radix et Rhizoma 9.20 g. The raw materials are purified, decocted in water from 1 200 mL to 400 mL, and the decoction should be taken warm, 3 times a day. Fangji Fulingtang was originally designed for treating skin edema, and then it was used to treat impediment in the Qing dynasty. In modern times, it is mostly used to treat musculoskeletal and connective tissue diseases and circulatory system diseases, demonstrating definite effects on various types of edema and heart failure. This paper clarifies the inheritance of Fangji Fulingtang and reveals its key information (attached to the end of this paper), aiming to provide a theoretical basis for the development of preparations based on this formula.
7.Textual Research and Clinical Application Analysis of Classic Formula Fangji Fulingtang
Xiaoyang TIAN ; Lyuyuan LIANG ; Mengting ZHAO ; Jialei CAO ; Lan LIU ; Keke LIU ; Bingqi WEI ; Yihan LI ; Jing TANG ; Yujie CHANG ; Jingwen LI ; Bingxiang MA ; Weili DANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):270-277
The classic formula Fangji Fulingtang is from ZHANG Zhongjing's Synopsis of the Golden Chamber in the Eastern Han dynasty. It is composed of Stephaniae Tetrandrae Radix, Astragali Radix, Cinnamomi Ramulus, Poria, and Glycyrrhizae Radix et Rhizoma, with the effects of reinforcing Qi and invigorating spleen, warming Yang and promoting urination. By a review of ancient medical books, this paper summarizes the composition, original plants, processing, dosage, decocting methods, indications and other key information of Fangji Fulingtang, aiming to provide a literature basis for the research, development, and clinical application of preparations based on this formula. Synonyms of Fangji Fulingtang exist in ancient medical books, while the formula composition in the Synopsis of the Golden Chamber is more widespread and far-reaching. In this formula, Stephaniae Tetrandrae Radix, Astragali Radix, Cinnamomi Ramulus, Poria, and Glycyrrhizae Radix et Rhizoma are the dried root of Stephania tetrandra, the dried root of Astragalus embranaceus var. mongholicus, the dried shoot of Cinnamomum cassia, the dried sclerotium of Poria cocos, and the dried root and rhizome of Glycyrrhiza uralensis, respectively. Fangji Fulingtang is mainly produced into powder, with the dosage and decocting method used in the past dynasties basically following the original formula. Each bag is composed of Stephaniae Tetrandrae Radix 13.80 g, Astragali Radix 13.80 g, Cinnamomi Ramulus 13.80 g, Poria 27.60 g, and Glycyrrhizae Radix et Rhizoma 9.20 g. The raw materials are purified, decocted in water from 1 200 mL to 400 mL, and the decoction should be taken warm, 3 times a day. Fangji Fulingtang was originally designed for treating skin edema, and then it was used to treat impediment in the Qing dynasty. In modern times, it is mostly used to treat musculoskeletal and connective tissue diseases and circulatory system diseases, demonstrating definite effects on various types of edema and heart failure. This paper clarifies the inheritance of Fangji Fulingtang and reveals its key information (attached to the end of this paper), aiming to provide a theoretical basis for the development of preparations based on this formula.
8.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
9.Study on the latent profile characteristics and influencing factors of capability-opportunity-motivation-behavior in stroke patients
Lina GUO ; Yuying XIE ; Mengyu ZHANG ; Xinxin ZHOU ; Peng ZHAO ; Miao WEI ; Han CHENG ; Qingyang LI ; Caixia YANG ; Keke MA ; Yanjin LIU ; Yuanli GUO
Chinese Journal of Modern Nursing 2024;30(25):3374-3381
Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.
10.Textual Research of Pediatric Famous Classical Formula Daochisan Based on Ancient and Modern Literature
Lyuyuan LIANG ; Hejia WAN ; Jinyan ZHANG ; Keke LIU ; Jialei CAO ; Xianghan TAN ; Bingqi WEI ; Bingxiang MA ; Yajing HE
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(11):218-227
Daochisan is a pediatric famous classical formula in traditional Chinese medicine(TCM) specializing in clearing the heart, disinhibiting water and enriching Yin, which has been inherited and developed by medical experts of successive generations. The formula can be traced back to Xiaoer Yaozheng Zhijue written by QIAN Yi from Song dynasty, and most of the later-developed Daochisan(Daochitang) is based on this formula with additions and subtractions. So as to promote the literature excavation of this formula, this paper conducts a thorough textual research and analysis of the composition, processing, preparation methods, clinical applications of Daochisan based on a systematic collation of relevant ancient and modern literature in the method of bibliometrics. A total of 127 pieces of data involving 86 antient TCM books were collected. Statistical analysis showed that the drug origin of Daochisan is basically clear, we suggest that Rehmanniae Radix is the root tuber of Rehmannia glutinosa of Scrophulariaceae, Akebiae Caulis is the dry stem of Akebia quinata of Lardizabalaceae, Glycyrrhizae Radix et Rhizoma is the dry root and stem of Glycyrrhiza uralensis of legume, bamboo leaf is the dry leaves of Phyllostachys nigra var. henonis of gramineous plants. Four herbs are recommended to use its raw products. The key information of the dosage and decocting method is supposed to be "4.13 g each of raw Rehmanniae Radix, raw Glycyrrhizae Radix et Rhizoma, Akebiae Caulis, adding 300 mL of water, and then adding 4.13 g of bamboo leaf, decocting together to 150 mL, taking warmly after meal". Daochisan has the effect of clearing the heart and enriching Yin, disinhibiting water and relieving stranguria, and is widely used in treating symptoms such as heart vexed hotness, hydrodipsia and reddish complexion. Modern studies have showed that Daochisan are frequently used in treating oral ulcer, herpetic stomatitis, urinary tract infection, herpes zoster and other diseases. The above research results can provide scientific reference for the future development and research of Daochisan.

Result Analysis
Print
Save
E-mail