1.Analysis of epidemiological and clinical characteristics of 1247 cases of infectious diseases of the central nervous system
Jia-Hua ZHAO ; Yu-Ying CEN ; Xiao-Jiao XU ; Fei YANG ; Xing-Wen ZHANG ; Zhao DONG ; Ruo-Zhuo LIU ; De-Hui HUANG ; Rong-Tai CUI ; Xiang-Qing WANG ; Cheng-Lin TIAN ; Xu-Sheng HUANG ; Sheng-Yuan YU ; Jia-Tang ZHANG
Medical Journal of Chinese People's Liberation Army 2024;49(1):43-49
Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6%),Mycobacterium tuberculosis 249(20.0%),other bacteria 150(12.0%),fungi 68(5.5%),parasites 18(1.4%),Treponema pallidum 18(1.4%)and rickettsia 1(0.1%).The number of cases increased by 177 cases(33.1%)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ¥29,500(¥16,000,¥59,200).The mortality rate from CNS infectious diseases is 1.6%.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.
2.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
3.Research on species identification of commercial medicinal and food homology scented herbal tea
Jing SUN ; Zi-yi HUANG ; Si-qi LI ; Yu-fang LI ; Yan HU ; Shi-wen GUO ; Ge HU ; Chuan-pu SHEN ; Fu-rong YANG ; Yu-lin LIN ; Tian-yi XIN ; Xiang-dong PU
Acta Pharmaceutica Sinica 2024;59(9):2612-2624
The adulteration and counterfeiting of herbal ingredients in medicinal and food homology (MFH) have a serious impact on the quality of herbal materials, thereby endangering human health. Compared to pharmaceutical drugs, health products derived from traditional Chinese medicine (TCM) are more easily accessible and closely integrated into consumers' daily life. However, the authentication of the authenticity of TCM ingredients in MFH has not received sufficient attention. The lack of clear standards emphasizes the necessity of conducting systematic research in this area. This study utilized DNA barcoding technology, combining ITS2,
4.Cost-effectiveness analysis of chemical treatment with drones for Oncomelania hupensis control in marshland and lake areas
Yong CHEN ; Xiaojuan XU ; Daolong WEN ; Bo DAI ; Lan GAO ; Rong ZHANG ; Qingqing HUANG ; Linlin LI ; Fan ZHA ; Liang FANG ; Ping ZHANG ; Shiqing ZHANG ; Chunli CAO
Chinese Journal of Schistosomiasis Control 2024;36(5):502-506
Objective To evaluate the molluscicidal effect and cost of spraying molluscicides with drones against Oncomelania hupensis snails in marshland and lake areas, so as to provide new insights into field snail control in China. Methods A marshland and lake setting measuring approximately 12 000 m2 was selected in Wanzhi District, Wuhu City on June 2023 as the test field, and assigned to four groups, of 3 000 m2 in each group. Environmental cleaning was not conducted in groups A or B, which were given 5% niclosamide ethanolamine salt granules sprayed with knapsack-type sprayers and drones at a dose of 40 g/m2, and environmental cleaning was conducted in groups C and D, which were given 5% niclosamide ethanolamine salt granules sprayed with drones and knapsack-type sprayers at a dose of 40 g/m2, respectively. O. hupensis snails were surveyed before chemical treatment and 1, 3, 5, 7, 14 days post-treatment. The uniformity of chemicals was determined on the day of treatment, and the snail mortality, corrected snail mortality and density of living snails were calculated and compared among groups. The cost of molluscicides, labor fees of environmental cleaning and chemical treatment and cost of equipment were calculated, and the cost for a 1% reduction in the mean density of living snails was calculated 14 days post-treatment. Results The mean densities of living snails and mortality rates of snails were 1.82 to 2.85 snails/0.1 m2 and 1.41% to 2.94% in groups A, B, C and D before chemical treatment, and the mortality and corrected mortality of snails were 55.75%, 49.32%, 85.94% and 87.50%, and 55.00%, 48.47%, 85.70% and 87.29% in groups A, B, C and D 14 days post-treatment. There was a significant difference in the mortality of snails among the four groups 14 days post-treatment (χ2 = 38.735, P < 0.005), and there was a higher snail mortality in Group D than in Group A (χ2 = 16.876, P < 0.005), and higher in Group C than in Group B (χ2 = 20.508, P < 0.005). The density of living snails reduced by 55.00%, 43.94%, 90.43% and 87.14% 14 days post-treatment relative to pre-treatment in groups A, B, C and D, respectively. The test for uniformity of chemicals showed that the mean dose of molluscicides were 57.34, 55.21, 40.19 g/m2 and 32.37 g/m2 in groups A, B, C and D, respectively, and the minimal standard deviation (7.07) and coefficient of variation (0.18) of mean doses were seen in Group C. The costs for chemical treatment were 0.33 Yuan in groups A and B and 1.53 Yuan in groups C and D, respectively. The costs for a 1% reduction in the mean density of living snails were 17.82, 22.47, 50.73 Yuan and 52.56 Yuan in groups A, B, C, and D 14 days post-treatment, respectively. Conclusions The molluscicidal effect and cost of spraying 5% niclosamide ethanolamine salt granules with drones are comparable to manual spraying, and chemical treatment with drones are high in uniformity of molluscicides, time- and labor-saving, and feasible for applications in complex environments, which deserves widespread applications in the field of snail control.
5.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
6.Chemical constituents from the n-butanol fraction of Siegesbeckia glabrescens
Rong YAN ; Zhong-Wen CHEN ; Yu-Ke ZHANG ; Xiao-Lu HUANG ; Bin LEI ; Hong-Ting YI ; Feng LIU ; Hua LIU
Chinese Traditional Patent Medicine 2024;46(11):3664-3671
AIM To study the chemical constituents from the n-butanol fraction of Siegesbeckiae glabrescens Makino.METHODS The n-butanol fraction from S.glabrescens was isolated and purified by silica gel,ODS and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULTS Seventeen compounds were isolated and identified as orientalin B(1),ent-2-oxo-15,16,19-trihydroxypimar-8(14)-ene(2),ent-12α,16-epoxy-2β,15α,19-trihydroxypimar-8-ene(3),ent-12α,16-epoxy-2β,15α,19-trihydroxy-pimar-8(14)-ene(4),kirenol(5),benzyl-O-β-D-glucopyranoside(6),hexyl-β-glucopyranoside(7),(Z)-3-hexenyl-β-D-glucopyranoside(8),phenylethyl-O-β-D-glucopyranoside(9),(6R,9S)-3-oxo-α-ionol-β-D-glucopyranoside(10),2-methoxy-4-(2-propenyl)phenyl-β-D-glucoside(11),4-allyl-2,6-dimethoxyphenyl glucoside(12),2-hydroxy-methylphenyl-1-O-β-D-glucopyranoside(13),icarside B2(14),everlastoside D(15),(2S,4R,5S,7S,9S,10R,13S,15R)-2,7,15,16,19-pentahydroxypimar-8(14)-ene(16),and benzyl-β-D-apiofuranosyl-(1″→6′)-β-D-glucopy-ranoside(17).Compound 9 showed weak ABTS radical scavenging capability,and compound 15 had strong DPPH and ABTS radicals scavenging activities.CONCLUSION Compounds 7-9,14-15 are isolated from genus Siegesbeckia for the first time.Compounds 2-4,7-17 are first isolated from this plant.Compound 9 and 15 exhibit antioxidant activities.
7.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.
8.Evaluation on the effect of applying comprehensive interventions on pro-moting pathogen detection before antimicrobial therapy in hospitalized pa-tients
ZHUYi ; Jian-Wen ZHUANG ; Ying-Ying PAN ; Li-Na ZOU ; Yu-Rong HUANG
Chinese Journal of Infection Control 2024;23(5):600-604
Objective To explore the effect of applying comprehensive interventions on promoting pathogen detec-tion before antimicrobial therapy in hospitalized patients.Methods Hospitalized patients who received therapeutic use of antimicrobial agents in a tertiary first-class hospital from January 2020 to December 2021 were selected as the research subjects.Comprehensive intervention measures were implemented from January 2021.The pathogen detec-tion rates,detection classification,and detection rates of key monitored departments before antimicrobial therapy were compared between the pre-intervention group(January-December 2020)and the post-intervention group(Janu-ary-December 2021).Results A total of 10 239 hospitalized patients who received therapeutic use of antimicrobial agents were included in analysis,4 526 cases were in the pre-intervention group and 5 713 cases in the post-interven-tion group.The pathogen detection rates before antimicrobial therapy,before restricted grade antimicrobial therapy,and before special grade antimicrobial therapy after intervention were 94.56%,94.72%,and 96.03%,respective-ly,which were higher than 83.74%,84.47%,and 84.95%before intervention,with statistical significance(all P<0.05).The detection rate of targeted pathogens after intervention was 64.87%,higher than that before interven-tion(28.04%),with statistically significant difference(P<0.05).The pathogen detection rates before therapeutic use of antimicrobial agents in departments of critical care medicine,pulmonary and critical care medicine,pediatrics,neurosurgery,and general surgery after intervention were 93.20%,91.17%,92.20%,94.12%,and 91.15%,re-spectively,higher than the rates before intervention,namely 85.00%,82.19%,83.20%,83.33%,and 83.03%,respectively,with statistical significance(all P<0.05).Conclusion The application of comprehensive intervention measures can improve the pathogen detection rate before antimicrobial therapy of hospitalized patients.Close atten-tion should be paid to the pathogen detection indicators related to healthcare-associated infection diagnosis and for the detection of sterile body fluid.
9.Preparation and Performance Characterization of Microcapsules Containing Ethanol Extract from Galangal
Su-Juan PENG ; Zhen-Rong WEN ; Zhen-Ying FENG ; Dan CHEN ; Jian-Wen WANG ; Li-Ping HUANG
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(5):1307-1315
Objective To explore the best preparation process and performance characterization of microcapsules containing ethanol extract from galangal.Methods With gum arabic(GA)-chitosan(CS)as capsule wall material,microcapsules were prepared by complex coacervation method.With drug loading and encapsulation efficiency as indexes,the optimal preparation technology of microcapsules was screened by orthogonal design method.The content of ethanol extract of galangal in microcapsules was determined by high performance liquid chromatography(HPLC).The prepared microcapsules were characterized by infrared spectrometer and scanning electron microscope.Results The optimum preparation conditions of microcapsules containing galangal ethanol extract were as follows:wall material ratio(GA/CS)6∶1,core to wall ratio 1∶1,coagulation time 45 minutes,curing agent dosage 3 mL.Under these conditions,the drug loading and encapsulation efficiency of microcapsules containing galangal ethanol extract were 27.17%and 80.07%,respectively,and the sustained release performance of microcapsules of galangal ethanol extract was superior to that of galangal ethanol extract.Conclusion The preparation of microcapsules containing galangal ethanol extract by complex coacervation method has good encapsulation,and the method is simple,stable and reliable,and has high feasibility.
10.Roles of hepatic Dishevelled/Egl-10/pleckstrin domain-containing protein 5/mammalian target of rapamycin complex 1 signaling axis on the development of non-alcoholic fatty liver disease
Lin XU ; Xi-Wen XIONG ; Zun LI ; Rong HUANG ; Hong-Hui MA ; Jie MA
Acta Anatomica Sinica 2024;55(3):295-301
Objective To investigate the effect of hepatic Dishevelled/Egl-10/pleckstrin domain-containing protein 5(DEPDC5)/mammalian target of rapamycin complex 1(mTORC1)on nonalcoholic fatty liver disease by establishing a high-fat diet feeding model of Depdc5 gene hepatocyte specific knockout mice.Methods Depdc5flox/flox mice were constructed and mated with Alumin-Cre mice to obtain Depdc5flox/flox;Alb-Cre mice(LKO),Depdc5flox/flox mice were as control(Loxp).Totally 32 male mice aged 2-3 months were randomly divided into high-fat-diet LKO group,high-fat-diet Loxp control group,high-fat-diet+rapamycin LKO group,and high-fat-diet+rapamycin Loxp control group,with 8 mice in each group.Liver serum biochemistry,lipid content,protein,mRNA and pathological sections were detected;Graphpad prism 8 software was used for statistical analysis.Results High-fat-diet induced liver steatosis in Loxp mice,while LKO mice were protected from steatosis but had aggravated liver injury.Rapamycin treatment attenuated the hyperactivation of mTORC1 pathway caused by Depdc5 knockout,alleviated the liver steatosis in Loxp mice and liver injury in LKO mice.Conclusion Deletion of Depdc5 gene protects mice from high-fat-diet induced liver steatosis and rapamycin treatment might be used to improve liver injury caused by DEPDC5 loss of function.