1.Non-invasive model diagnostic efficacy assessment for liver fibrosis in patients with chronic hepatitis B combined with metabolic associated fatty liver disease
Yixuan ZHU ; Liang XU ; Youwen TAN ; Qinglei ZENG ; Guojun LI ; Weimao DING ; Fajuan RUI ; Xue BAI ; Leyao JIA ; Sisi ZHOU ; Qing XIE ; Junping SHI ; Jie LI
Chinese Journal of Hepatology 2025;33(9):852-861
Objective:To investigate the efficacy of fibrosis-4 index (FIB-4), NAFLD fibrosis score (NFS), aspartate aminotransferase to platelet count ratio (APRI), liver stiffness value (LSM), and Agile 3+ score and their combined model in predicting advanced-stage liver fibrosis in patients with chronic hepatitis B (CHB) combined with metabolic-associated fatty liver disease (MAFLD).Methods:A multicenter retrospective cohort study was conducted on the BMOVE population.Nine hundred twenty CHB cases combined with MAFLD who underwent liver biopsy at seven medical centers in China from April 2006 to December 2023 were included. The patients were divided into advanced-stage liver fibrosis (159 cases) and non-advanced-stage liver fibrosis (761 cases) according to the Scheuer's scoring system.The area under the receiver operating characteristic curve (AUROC), decision curve, and calibration curve analysis were used to evaluate the efficacy of the firbrosis-4 index (FIB-4) score, NFS score, APRI index, LSM, and Agile 3+ score and their combined model in predicting advanced-stage fibrosis. The liver fibrosis grade of all patients was diagnosed by liver biopsy. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of each scoring model and combined model, as well as the proportion of correctly classified patients, were calculated based on different cutoff values.Results:AUROC analysis showed that Agile 3+ (0.814, 95% CI: 0.787-0.838) and LSM (0.805, 95% CI: 0.778-0.829) had similar accuracy and were superior to FIB-4 (0.721, 95% CI: 0.691-0.749), NFS (0.687, 95% CI: 0.656-0.716) and APRI ( 0.689, 95% CI: 0.658-0.718); however, HBV DNA level and HBV e antigen status had no effect on this outcome. Decision curve analysis showed that interventions based on LSM and Agile 3+ had provided higher net benefits compared with serological scores. Calibration curves showed that Agile 3+ had better predicitive accuracy than all other models. Agile 3+ had the highest PPV (0.54), minimal uncertainty interval (11.6%), and the highest proportion of correctly classified patients (76%); followed by LSM (PPV: 0.43, uncertainty interval: 15.5%, correct classification rate: 66%), and FIB-4 (PPV: 0.42, uncertainty interval: 26.1%, correct classification rate: 62.6%) in terms of identifying advanced-stage liver fibrosis. Combined model analysis demonstrated that FIB-4 combined with Agile 3+ had improved the correct classification rate and reduced the proportion of missed patients compared with FIB-4 combined with LSM. Conclusion:The Agile 3+ score is superior than LSM, FIB-4, NFS, and APRI index at identifying advanced-stage fibrosis in patients with CHB combined with MAFLD. This study supports the use of FIB-4 index combined with Agile 3+ for risk stratification in patients with CHB combined with MAFLD.
2.Conventional MRI and diffusion weighted imaging for differentiating soft tissue lymphoma and soft tissue sarcoma
Kai ZHANG ; Yue DAI ; Jie ZHOU ; Jinge LI ; Qing LIU ; Juntong LIU ; Juan TAO ; Shaowu WANG
Chinese Journal of Medical Imaging Technology 2025;41(9):1563-1567
Objective To observe the value of conventional MRI and diffusion weighted imaging(DWI)for differentiating soft tissue lymphoma(STL)and soft tissue sarcoma(STS).Methods Conventional MRI and DWI data of 25 cases of STL(STL group)and 38 cases of STS(STS group)were retrospectively analyzed.MRI features being statistically different between groups were included in logistic regression analysis to screen the independent risk factors of STL and to evaluate the sensitivity,specificity and accuracy of their combination for predicting STL.Receiver operating characteristic curve was generated,the area under the curve(AUC)was calculated to assess the diagnostic efficacy of the mean apparent diffusion coefficient(ADCmean),the minimum apparent diffusion coefficient(ADCmin),the maximum apparent diffusion coefficient(ADCmax)values for distinguishing STL from STS.Results Slightly hyperintensity on T1WI,non-necrosis,involvement of multiple muscle groups and homogeneous enhancement were all independent risk factors of STL(all P<0.05).The sensitivity,specificity and accuracy of their combination for predicting STL was 72.00%(18/25),89.47%(34/38)and 82.54%(52/63),respectively.ADCmean,ADCmin and ADCmax values of STL was(1.06±0.18)× 10-3,(0.77±0.14)×10-3 and(1.47±0.31)× 10-3mm2/s,respectively,all lower than those of STS([1.31±0.17]× 10-3,[1.02±0.23]× 10-3 and[1.64±0.16]× 10-3 mm2/s;t=-4.829--2.498,all P<0.05).The AUC of ADCmean,ADCmin and ADCmax values and their combination for differential diagnosis of STL and STS was 0.845,0.844,0.683 and 0.877,respectively.Conclusion Conventional MRI features,including T1WI signal intensity,necrosis,involvement of multiple muscle groups and enhancement pattern,along with ADCmean and ADCmin values derived from DWI contributed to differentiating STL and STS.
3.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
4.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
5.Metagenomic Next-Generation Sequencing-Assisted Diagnosis of Japanese Spotted Fever: Report of One Case.
Yong-Chun RUAN ; Yi-Qing ZHOU ; Hai-Wang ZHANG ; Jie ZHOU ; Jin-Nan DUAN ; Xiao-Jing ZHANG ; L I MING-HUI
Acta Academiae Medicinae Sinicae 2025;47(1):146-149
Japanese spotted fever(JSF)is an infectious disease caused by Rickettsia japonica,with nonspecific clinical symptoms and a high risk of misdiagnosis.We reported a case of JSF,in which Rickettsia japonica was detected in blood cells by metagenomic next-generation sequencing.The patient recovered after treatment with doxycycline.This report provides a reference for the clinical diagnosis and treatment of JSF.
Humans
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High-Throughput Nucleotide Sequencing
;
Metagenomics
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Rickettsia/isolation & purification*
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Spotted Fever Group Rickettsiosis/microbiology*
6.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; 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 ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
7.Effects of fangchinoline derivative LYY-32 on biological properties of BLM DNA helicase
Wang-ming ZHANG ; Qin-ying FENG ; Xiao-yu SONG ; Xin-zhong ZHOU ; Juan LU ; Wan-qing XIE ; Zhi-wen LAI ; Wei-dong PAN ; Jie-lin LIU
Chinese Pharmacological Bulletin 2025;41(9):1680-1686
Aim To investigate the effects of the fangchinoline derivative LYY-32 on the biological prop-erties of the BLM642-1290 DNA helicase,in order to lay a foundation for further research on its antitumor activity.Methods Fluorescence polarization assay,malachite green-phosphate and ammonium molybdate colorime-try,and fluorescein-labeled DNA gel electrophoresis experiments were conducted to study the effects of fangchinoline derivative LYY-32 on the DNA binding activity,ATPase activity,and DNA unwinding activity of BLM642-1290 DNA helicase.The effects of LYY-32 on the DNA unwinding activity of DNA helicase in cells were studied using fluorescent techniques and time-lapse microscopy.Ultraviolet spectral scanning was used to investigate the effects of LYY-32 on the confor-mation of the BLM642-1290 DNA helicase.Results At a concentration of 10 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to dsDNA was 53.17%.At a concentration of 5 μmol·L-1,the inhibition rate of LYY-32 on BLM642-1290 DNA helicase binding to ssDNA was 88.49%.The inhibition rate of LYY-32 on the ATPase activity of BLM642-1290 DNA he-licase was 89.3%at a concentration of 50 μmol·L-1.When the concentration of LYY-32 exceeded 5μmol·L-1,its inhibition rate on the DNA unwinding activity of BLM642-1290 DNA helicase was 100%.LYY-32 also significantly inhibited the DNA unwinding ac-tivity of DNA helicase in cells.However,LYY-32 had no effect on the conformation of BLM642-1290 DNA heli-case.Conclusion The DNA binding activity,AT-Pase activity,and DNA unwinding activity of BLM642-1290 DNA helicase could be significantly inhibi-ted by the fangchinoline derivative LYY-32.
8.Construction and application of a medical quality indicator monitoring system in the context of tertiary hospital evaluation
Qing GUO ; Jie ZHOU ; Yuan ZHANG ; Yanhui YANG ; Jing LI
Modern Hospital 2025;25(4):565-568
With the continuous improvement of the national management requirements for medical quality and safety,it is particularly important to improve the level of refinement,scientificity,and standardization of medical quality and safety manage-ment.Based on the evaluation criteria of tertiary hospitals,a hospital in Tianjin has constructed a medical quality indicator moni-toring system,which has improved the management efficiency of medical data and assisted the hospital in successfully meeting the evaluation and achieved good results.This paper discusses the system's requirements analysis,construction process,application results,and shares experiences and shortcomings to provide reference for other medical institutions to improve the effectiveness of medical quality and safety management.
9.Design and application of novel protective ventilator circuit component
Wei-zhou WU ; Kang LU ; Jing-jie CAO ; Zhi-hua ZHAO ; Hai-tao LAN ; Zan-chao CHEN ; Qing-feng XUE
Chinese Medical Equipment Journal 2025;46(4):113-117
Objective To develop a novel protective ventilator circuit component and to verify its performance by water seal and anti-splash experiments.Methods A novel protective ventilator circuit component had a design scheme with the multifunctional joint,and consisted of a tee connection tube,an isolation sleeve and a stop sleeve,of which,the tee connection tube was made of polyethylene polymer material and the others were made of silicone material.The tee connection tube had a T-shaped structure with two standard connection ports,which was composed of an adapter,a sealing cap,a plug and a sealing ring;the isolation sleeve was in the shape of a cylinder with a raised bottom,which was inserted into the adapter;the stop sleeve was located in the isolation sleeve,with an inverted frustum of a cone at the bottom and a rounded hole in the middle of the inverted frustum.An open ventilator circuit tube was involved in the performance verification of the circuit component developed.In the water seal experiment,sputum aspiration was simulated and the heights of the liquid level drop in the L-shaped tubes were compared after sputum aspiration.In the anti-splash experiment,the infection rates on the surfaces of the sterile hole towels and gloves were calculated.Results Water seal experiment showed after sputum aspiration the open ventilator circuit tube had the liquid level at the L-shaped tube higher significantly than that of the circuit component;the anti-splash experiment indicated sputum aspiration resulted in the occurance of the splashing out of the secretion and 77.5%infection rate by the open ventilator circuit tube,while no splashing out and 0%infection rate by the circuit component developed.Conclusion The novel protective ventilator circuit component behaves well in sealing and anti-splashing,and thus is worthy of clinical application for sputum aspiration.[Chinese Medical Equipment Journal,2025,46(4):113-117]
10.Causal relationship between insomnia and erectile dysfunction based on heart-kidney intersection theory:A two-sample Mendelian randomization study
Ze-rui QIU ; Guang-yang OU ; Heng-jie LIU ; Wen-tao MA ; Man-jie HUANG ; Neng WANG ; Jun ZHOU ; Qing ZHOU
National Journal of Andrology 2025;31(7):597-602
Objective:Previous studies have shown that insomnia is closely related to erectile dysfunction(ED).However,the causal relationship between them is still unclear.Mendelian randomization(MR)provides a new method for studying the relationship between the two,and the theory of heart-kidney interaction in TCM provides a new idea for exploring the causal relationship between them.Methods:Based on the statistical data collected by genome-wide association studies(GWAS),the causal relationship be-tween insomnia and ED was discussed by MR.Inverse variance weighted(IVW)is the main analysis method,and weighted median(WME),simple mode(SM),weighted mode(WM)and MR Egger method were the supplementary analysis to evaluate the causal effect.MR-Egger intercept test,Cochran Q test and leave-one-out method were used in sensitivity analysis to verify the reliability of MR results.Results:Thirty-nine SNPs significantly related to insomnia were finally included for MR analysis.The results of IVW method in MR analysis showed that insomnia had a significant causal relationship with the increased risk of ED(OR=3.111,95%CI=1.566-6.181,P=1.193 × 10-3).The results obtained by MR-Egger method,WME method,WM method and SM method were consistent with IVW method in the direction of effect.The sensitivity results suggested that the results of this study were robust.Conclusion:Our study reveals the causal relationship between insomnia and ED,which provides a new basis for future clinical practice and prevention and treatment of ED.

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