1.Construction of Risk Prediction Model for Frequent Acute Exacerbations of Chronic Obstructive Pulmonary Disease Under Disease-syndrome Combination
Jing ZHOU ; Gang TENG ; Nianzhi ZHANG ; Yuanyuan WANG ; Qianqian ZHANG ; He HUANG ; Ling LIU ; Mei DONG ; Juan JI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(6):143-151
ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease (COPD) under disease-syndrome combination, thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations (≥2 times/year) and infrequent acute exacerbations (<2 times/year) according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression, and a nomogram model was constructed. The model performance was assessed based on the area under the curve (AUC), calibration curves, and decision curve analysis (DCA). ResultsThe differences in baseline characteristics between the frequent acute exacerbations group (1 196 cases) and infrequent acute exacerbations group (833 cases) were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors: body mass index (BMI), hospitalization days, number of smoking years, place of residence, use of noninvasive ventilators, oxygen-demanding therapy, liver cirrhosis, use of systemic glucocorticosteroids, and traditional Chinese medicine syndrome (phlegm and stasis obstructing the lung). The nomogram model showed good discrimination and calibration in both the training set (AUC=0.748) and validation set (AUC=0.774). ConclusionThe risk prediction model for frequent acute exacerbations of COPD, integrating traditional Chinese medicine syndrome, constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.
2.Analysis of soil-borne nematode infection status among rural communities in Yubei, Chongqing
Dan JIANG ; Yong-dong HAO ; Sen-ping YANG ; Xiao-yuan SU ; Hua-jun BAI ; Bo LYU ; Ya-ling RAN ; He-yi GUAN ; Ling HU
Acta Parasitologica et Medica Entomologica Sinica 2026;33(2):85-89
Objective To analyze the infection status and epidemic trends of soil-borne nematode infections in Yubei, Chongqing City, in 2010,2021, and 2022. Methods The local populations from four survey sites of four towns in 2010 and five sites of five towns in 2021 and 2022 were surveyed regarding their basic information using a unified form. Fecal samples of the participants were collected and tested for soil-borne nematode infections using the modified Kato-Katz thick smear method. Results In 2010, 2 049 participants were surveyed, followed by 1 000 participants in 2021 and 2022. The overall prevalence of parasitic infections declined significantly from 3.86% to 0.20%. In 2010, soil-transmitted nematode included hookworms(3.81%) and roundworms(0.29%). In 2021, the infection rates of roundworms and hookworms were 1.70% and 0.10% respectively. Notably, only Ascaris was identified in 2022(0.20%). The≥60 age group consistently exhibited the highest infection rates across all surveys, followed by the 40-59 age group. The infection rates of males in the three surveys were 3.31%,1.92%, and 0.20% respectively, and those of females were 4.37%, 1.46%, and 0.20% respectively. There was no statistically significant difference in the infection rates between males and females. Educational attainment was inversely associated with infection; in 2010, the highest prevalence was observed among those with primary education or below, whereas in 2021, illiterate or semi-literate individuals showed the highest susceptibility. The occupational distribution of infections in 2010 indicated that retirees (8.33%), farmers(4.86%), and homemakers or unemployed individuals(3.45%)were the most affected. However, in 2021 and 2022, farmers emerged as the predominant occupational group with soil-transmitted nematode infections. Conclusions The infection rate of soil-borne nematodes showed a decreasing trend in Yubei, and the infection species changed from hookworms in 2010 to Ascaris in 2022. Farmers, the elderly, and people with low education levels should continue to be the focus of preventive and control efforts.
3.Distribution characteristics of 14 chemical elements in the external environment of different water iodine areas in Xi'an
Xuehua SHI ; Ping LI ; Tiejun HOU ; Shanshan HE ; Lu DONG ; Ling JIN ; Peijie YAO
Chinese Journal of Endemiology 2025;44(9):726-731
Objective:To investigate the distribution of iodine and other chemical elements in soil, grain and vegetables in different water iodine areas of Xi'an City, and to provide theoretical basis for prevention and treatment of iodine related diseases and water improvement measures.Methods:From September to November 2021, a stratified cluster sampling method was used to select three survey villages in Xi'an, namely Yehu Village, Xingbei Village, and Quanzhong Village, where the iodine level of residents' drinking water < 10, 10 - 100, and > 100 μg/L. Drinking water samples were collected from seven survey sites based on the source of domestic drinking water to determine the iodine level of the water. At the same time, soil samples of cultivated land, residents' grains (wheat, corn), and vegetables were collected from survey villages to determine the content of 14 elements including calcium, iron, magnesium, chromium, nickel, copper, zinc, cadmium, lead, arsenic, mercury, selenium, iodine, and fluoride.Results:The iodine level in the water of 7 survey sites in three survey villages was 5.80, 6.40, 25.51, 42.20, 53.90, 111.65, and 177.63 μg/L, respectively. A total of 70 samples of soil, 65 samples of wheat, 76 samples of corn, and 141 samples of vegetables were collected. Among them, the levels of various elements in vegetables and grains were lower than those in the soil. Only calcium and fluoride were higher in vegetables than in grains, while iron, chromium, copper, zinc, selenium, and iodine were lower in vegetables than in grains. According to the range of water iodine level, there were statistically significant differences in the content of calcium, iron, chromium, nickel, copper, zinc, mercury, iodine, and fluoride in soils from different water iodine regions ( Fcalcium, iron, chromium, nickel = 42.04, 13.55, 12.22, 11.20, Hcopper, zinc, mercury, iodine, fluoride = 14.27, 9.19, 14.72, 25.14, 16.50, P < 0.05). The comparison of magnesium, zinc, cadmium, arsenic, and selenium content in wheat showed statistically significant differences ( Fadmium, selenium = 6.34, 3.31, Hmagnesium, zinc, arsenic = 6.12, 11.55, 6.23, P < 0.05). The comparison of calcium, iron, magnesium, chromium, nickel, copper, zinc, cadmium, lead, arsenic, mercury, iodine, and fluoride content in corn showed statistically significant differences ( Fmagnesium, chromium, nickel, copper, zinc, iodine = 18.89, 13.76, 17.86, 24.17, 28.46, 15.96, Hcalcium, iron, cadmium, lead, arsenic, mercury, fluoride = 11.57, 40.53, 26.50, 33.05, 33.73, 36.01, 29.21, P < 0.05). The comparison of calcium, iron, magnesium, chromium, zinc, cadmium, lead, arsenic, mercury, and selenium content in vegetables showed statistically significant differences ( H = 23.93, 8.12, 10.03, 7.01, 16.09, 18.36, 23.07, 6.51, 27.67, 7.86, P < 0.05). Conclusions:There are significant differences in the distribution of 14 elements in soil, grain, and vegetables in different water iodine regions. In addition to drinking water, precise guidance should also be provided based on the iodine content in soil, grain, and vegetables in different water iodine areas.
4.Correlation analysis between inflammatory markers in complete blood counts and influenza A virus infection
Zexin DONG ; Ling JIN ; Bangshun HE ; Weiwei CUI
Chinese Journal of Clinical Laboratory Science 2025;43(10):780-786
Objective To retrospectively analyze the correlation between inflammatory markers in complete blood counts(CBC)and influenza A virus infection in patients visited the outpatient department of Nanjing First Hospital.Methods The suspected influenza A virus infection patients visited the outpatient department of Nanjing First Hospital from February to March 2023 were collected and di-vided into the positive and negative groups based on the detection results of influenza A virus antigen.The differences in inflammatory markers in CBC between the two groups were compared.The Logistic regression analysis was used to evaluate the correlation between inflammatory markers and influenza A virus infection.Meanwhile,the restricted cubic spline(RCS)and age subgroup(≤6 years,7-12 years,13-17 years,and ≥18 years)analysis were also performed.Results A total of 1 487 outpatients were included,of which 404(27.2%)were positive for influenza A virus antigen.The Logistic regression analysis showed that white blood cell count(WBC),lymphocyte percentage(LY%),and lymphocyte count(LYM)were significantly negatively correlated with influenza A virus infection(P<0.01),while the neutrophil percentage(NE%),monocyte/lymphocyte ratio(MLR),and neutrophil/lymphocyte ratio(NLR)were significantly positively correlated with influenza A virus infection(P<0.01).The RCS analysis exhibited the same trend.The age subgroup analysis showed that when the age was greater than 6 years,LYM was significantly negatively correlated with influenza A virus infection(P<0.01).When the age was greater than 12 years,MLR was significantly positively correlated with influenza A virus infec-tion(P<0.01).Conclusion The WBC,LY%,LYM,NE%,MLR,and NLR in CBC parameters are important indicators associated with the occurrence of Influenza A virus infection,especially LYM in patients aged over 6 years and MLR in patients aged over 12 years,which may serve as biomarkers for the diagnosis and differential diagnosis of influenza A virus infection.
5.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
6.National bloodstream infection bacterial resistance surveillance report 2023: Gram-positive bacteria
Chaoqun YING ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(2):118-132
Objective:To report the nationwide surveillance results of pathogenic profiles and antimicrobial resistance patterns of Gram-positive bloodstream infections in China in 2023.Methods:The clinical isolates of Gram-posttive bacteria from blood cultures were collected in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System(BRICS)during January to December 2023. Antimicrobial susceptibility testing was performed using the dilution method recommended by the Clinical and Laboratory Standards Institute(CLSI). Statistical analyses were conducted using WHONET 5.6 and SPSS 25.0 software.Results:A total of 4 385 Gram-positive bacterial isolates were obtained from 60 participating center. The top five pathogens were Staphylococcus aureus( n=1 544,35.2%),coagulase-negative Staphylococci( n=1 441,32.9%), Enterococcus faecium( n=574,13.1%), Enterococcus faecalis( n=385,8.8%),and α-hemolytic Streptococci( n=187,4.3%). The prevalence of methicillin-resistant Staphylococcus aureus(MRSA)and methicillin-resistant coagulase-negative Staphylococci(MRCNS)was 26.2%(405/1 544)and 69.8%(1 006/1 441),respectively. Notably,all Staphylococci remained susceptible to glycopeptide or daptomycin. Staphylococcus aureus demonstrated excellent susceptibility(>97.0%)to cephalobiol,rifampicin,trimethoprim-sulfamethoxazole,linezolid,minocycline,tigecycline,and eravacycline. No Enterococcus exhibiting resistance to linezolid were detected. Glycopeptide resistance was uncommon but more frequent in Enterococcus faecium(resistance to vancomycin and teicoplanin:both 1.7%)compared to Enterococcus faecalis(both 0.3%). The detection rates of MRSA and MRCNS exhibited significant regional variations across the country( χ2=17.674 and 148.650,respectively,both P<0.001). No vancomycin-resistant Enterococci were detected in central China. Institutional comparison demonstrated higher prevalence of MRSA( χ2=14.111, P<0.001)and MRCNS( χ2=4.828, P=0.028)in provincial hospitals than that in municipal hospitals. Socioeconomic analysis identified elevated detection rates of both MRSA( χ2=18.986, P<0.001)and MRCNS( χ2=4.477, P=0.034)in less developed regions(per capita GDP
7.National bloodstream infection bacterial resistance surveillance report (2023) : Gram-negative bacteria
Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiangqin SONG ; Hui DING ; Yanyan LI ; Yuanyuan DAI ; Haifeng MAO ; Pengpeng TIAN ; Lu WANG ; Yongyun LIU ; Yizheng ZHOU ; Jiliang WANG ; Yan JIN ; Donghong HUANG ; Hongyun XU ; Peng ZHANG ; Xinhua QIANG ; Hong HE ; Lin ZHENG ; Junmin CAO ; Zhou LIU ; Ying HUANG ; Yan GENG ; Haiquan KANG ; Dan LIU ; Guolin LIAO ; Lixia ZHANG ; Fenghong CHEN ; Yanhong LI ; Baohua ZHANG ; Haixin DONG ; Xiaoyan LI ; Donghua LIU ; Qiuying ZHANG ; Xuefei HU ; Liang GUO ; Sijin MAN ; Dijing SONG ; Rong XU ; Youdong YIN ; Kunpeng LIANG ; Aiyun LI ; Zhuo LI ; Hongxia HU ; Guoping LU ; Jinhua LIANG ; Qiang LIU ; Yinqiao DONG ; Jilu SHEN ; Shuyan HU ; Liang LUAN ; Jian LI ; Ling MENG ; Dengyan QIAO ; Xiusan XIA ; Bo QUAN ; Dahong WANG ; Chunhua HAN ; Xiaoping YAN ; Fei LI ; Shifu WANG ; Ping SHEN ; Yunbo CHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2025;18(1):47-62
Objective:To report the results of bacterial resistant investigation collaborative system(BRICS)on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2023,and provide reference for clinical tretment of bloodstream infections and prevention and control of bacterial resistance.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of BRICS were collected during January 2023 to December 2023. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute(CLSI). WHONET 5.6 and SPSS 25.0 were used to analyze the data.Results:During the study period,11 492 strains of Gram-negative bacteria were collected from 60 hospitals,of which 10 098(87.9%)were Enterobacterales and 1 394(12.1%)were non-fermentative bacteria. The top 5 bacterial species were Escherichia coli(50.0%), Klebsiella pneumoniae(26.1%), Pseudomonas aeruginosa(5.1%), Acinetobacter baumannii complex(5.0%)and Enterobacter cloacae complex(4.1%). The ESBL-producing rates in Escherichia coli, Klebsiella pneumoniae and Proteus mirablilis were 46.8%(2 685/5 741),18.3%(549/2 999)and 44.0%(77/175),respectively. The prevalence of carbapenem-resistant Escherichia coli(CREC)and carbapenem-resistant Klebsiella pneumoniae(CRKP)were 1.3%(76/5 741)and 15.0%(450/2 999);32.9%(25/76)and 78.0%(351/450)of CREC and CRKP were sensitive to ceftazidime/avibactam combination,respectively. 94.7%(72/76)and 90.2%(406/450)of CREC and CRKP were sensitive to aztreonam/avibactam combination. Furthermore,57.9%(44/76)and 79.1%(356/450)were sensitive to imipenem/relebactam combination. The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)complex was 64.6%(370/573),while more than 80.0% of CRAB complex was sensitive to tigecycline,eravacycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa(CRPA)was 17.0%(99/581). There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of important Gram-negative bacteria resistance among different regions in China,with statistically significant differences in the prevalence of CREC,CRKP,CRPA and CRAB complex( χ2=10.6,28.6,10.8 and 19.3, P<0.05). The prevalence of ESBL-producing Escherichia coli, CREC,CRAB complex and CRKP were higher in provincial hospitals than those in municipal hospitals( χ2=12.5,9.8,12.7 and 57.8,all P<0.01). Conclusions:Gram-negative bacteria are the main pathogens causing bloodstream infections in China,and Escherichia coli is ranked in the top,while the trend of Klebsiella pneumoniae increases continuously with time. CRKP infection shows a slow upward trend,CREC infecton maintains a low prevalence level,and CRAB complex infection continues to exhibit a high prevalence rate. The composition and resistance patterns of pathogens causing bloodstream infections vary to some extent across different regions and levels of hospitals in China.
8.Correlation analysis between inflammatory markers in complete blood counts and influenza A virus infection
Zexin DONG ; Ling JIN ; Bangshun HE ; Weiwei CUI
Chinese Journal of Clinical Laboratory Science 2025;43(10):780-786
Objective To retrospectively analyze the correlation between inflammatory markers in complete blood counts(CBC)and influenza A virus infection in patients visited the outpatient department of Nanjing First Hospital.Methods The suspected influenza A virus infection patients visited the outpatient department of Nanjing First Hospital from February to March 2023 were collected and di-vided into the positive and negative groups based on the detection results of influenza A virus antigen.The differences in inflammatory markers in CBC between the two groups were compared.The Logistic regression analysis was used to evaluate the correlation between inflammatory markers and influenza A virus infection.Meanwhile,the restricted cubic spline(RCS)and age subgroup(≤6 years,7-12 years,13-17 years,and ≥18 years)analysis were also performed.Results A total of 1 487 outpatients were included,of which 404(27.2%)were positive for influenza A virus antigen.The Logistic regression analysis showed that white blood cell count(WBC),lymphocyte percentage(LY%),and lymphocyte count(LYM)were significantly negatively correlated with influenza A virus infection(P<0.01),while the neutrophil percentage(NE%),monocyte/lymphocyte ratio(MLR),and neutrophil/lymphocyte ratio(NLR)were significantly positively correlated with influenza A virus infection(P<0.01).The RCS analysis exhibited the same trend.The age subgroup analysis showed that when the age was greater than 6 years,LYM was significantly negatively correlated with influenza A virus infection(P<0.01).When the age was greater than 12 years,MLR was significantly positively correlated with influenza A virus infec-tion(P<0.01).Conclusion The WBC,LY%,LYM,NE%,MLR,and NLR in CBC parameters are important indicators associated with the occurrence of Influenza A virus infection,especially LYM in patients aged over 6 years and MLR in patients aged over 12 years,which may serve as biomarkers for the diagnosis and differential diagnosis of influenza A virus infection.
9.Differential Analysis on Chemical Composition and Pharmacodynamic Effect Between Combined Decoction and Single Decoction of Famous Classical Formula Huaganjian
Yang WANG ; Gaoju ZHANG ; Ling LI ; Liping CHEN ; Li ZHANG ; Xiao LIU ; Yuyu ZHANG ; Yuan CUI ; Minglong LI ; Chaomei FU ; Xin YAN ; Yuxin HE ; Qin DONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(16):199-207
ObjectiveThrough qualitatively and quantitatively analysis of the differences in chemical composition between the combined decoction and single decoction of Huaganjian and comparison of their core efficacy, to explore the rationality of the flexible clinical application of Huaganjian compound preparations and single-flavored dispensing granules. MethodsUltra performance liquid chromatography-quadrupole-electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q-Exactive Orbitrap MS) was used to qualitatively analyze the combined decoction and single decoction samples of Huaganjian, and meanwhile, the contents of four index components(geniposide, paeoniflorin, hesperidin and paeonol) were quantitatively analyzed by high performance liquid chromatography(HPLC). Nonalcoholic fatty liver disease(NAFLD) rat model induced by high-fat diet was applied to compare the efficacy of combined decoction and single decoction of Huaganjian. A total of 30 male SD rats were randomly divided into the control group, model group, lovastatin group(1.8 mg·kg-1), combined decoction group(1.26 g·kg-1) and single decoction group(1.18 g·kg-1). After successful modeling, lovastatin group, combined decoction group and single decoction group were given corresponding doses of drugs by intragastric administration every day, and the control group and model group were given equal amounts of normal saline by intragastric administration, after 4 weeks of administration, the serum and liver tissues were collected, and the contents of alanine aminotransferase(ALT), aspartate aminotransferase(AST), total cholesterol(TC), triglyceride(TG), low-density lipoprotein cholesterol(LDL-C) and high-density lipoprotein cholesterol(HDL-C) in serum of rats were detected, and the liver pathological examination was carried out by hematoxylin-eosin(HE) staining and oil red O staining, so as to compare differences of their efficacy. ResultsSeventy chemical components were initially identified and attributed from the lyophilized powder of the combined decoction and single decoction samples of Huaganjian, and there was no obvious difference in composition between the two. Further quantitative analysis showed that the contents of geniposide, paeoniflorin, hesperidin and paeonol in the combined decoction samples were significantly increased when compared with those of the single decoction samples(P<0.01). The pharmacodynamic results showed that compared with the model group, both the combined and single decoction groups of Huaganjian could improve the liver index of NAFLD rats, reduce the serum levels of AST, ALT, TC, TG and LDL-C, increase the serum level of HDL-C, and ameliorate the pathological changes of liver cell steatosis and fat accumulation. However, there was no significant difference in pharmacodynamic effects between the combined decoction group and the single decoction group. ConclusionThere is no significant difference between the combined decoction and single decoction of Huaganjian in terms of chemical composition, but the contents of the four index components show significantly difference. Both of them can significantly improve the fat accumulation and liver function in NAFLD rats. This study provides a reference basis for the rational clinical application and evaluation of famous classical formula compound preparations and single-flavored dispensing granules.
10.Imaging assessment of osteosarcoma chemotherapy efficacy based on multi-scale lesion attention network
Jie ZANG ; Ze-Qun SONG ; Zhen-Yu TANG ; Fang-Zhou HE ; Chao-Wei DING ; Ling-Feng WANG ; Xiao-Dong TANG
Acta Anatomica Sinica 2025;56(1):30-36
Objective To propose a high-precision deep learning-based image assessment method of osteosarcoma chemotherapy efficacy for clinical treatment,as existing methos have low accuracy of osteosarcoma assessment.Methods The low incidence of osteosarcoma led to the small scale of its imaging data and the problem of imbalance in data categories.This study combined deep learning with clinical medical information,combined the bone sarcoma generation module of BoneGAN and the scale lesion information capture module,and proposed OMLA-Net,a deep learning assessment network for chemotherapy effect of bone sarcoma based on multi-scale lesion attention network,which achieved computer-aided bone tumor assessment with integrated data augmentation and focused lesion information through pre-training and generalized loss training.Results In this study,40 cases of osteosarcoma MRI data were used as the basis for the comparison test on the generated dataset,and the OMLA-Net assessment outperformed the SOTA method Conv-LSTM-GAN in terms of the assessment effects such as accuracy and F1 scores,and the difference was statistically significant(Bootstrap statistical method P<0.05);the subsequent K-fold cross-validation ablation experiments further demonstrated the effectiveness of each module proposed by OMLA-Net.Conclusion OMLA-Net can effectively perform the impact assessment of chemotherapy effect on osteosarcoma,which provides a new idea for subsequent clinical application.


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