1.Nitazoxanide protects against heart failure with preserved ejection and metabolic syndrome induced by high-fat diet (HFD) plus L-NAME "two-hit" in mice.
Jiahui CHEN ; Liping ZHANG ; Ting XIE ; Xiao ZHANG ; Congcong PAN ; Fangli SUN ; Wenfeng LI ; Zhijie SUN ; Deli DONG
Acta Pharmaceutica Sinica B 2025;15(3):1397-1414
The clinical antiprotozoal drug nitazoxanide has been demonstrated to improve the experimental diabetes mellitus, lipid metabolism disorders, atherosclerosis and inhibit inflammation. Since the pathogenesis of heart failure with preserved ejection (HFpEF) is multifactorial and closely associated with the aforementioned diseases, we aim to study the effect of nitazoxanide on high-fat diet (HFD) plus L-NAME (N ω-nitro-l-arginine methyl ester)-induced HFpEF and metabolic syndrome in mice. We found that oral nitazoxanide improved cardiac hypertrophy, cardiac fibrosis, cardiac diastolic dysfunction, increased blood pressure, impaired exercise tolerance, impaired glucose handling, serum lipid disorders, hepatic steatosis, increased weight of white adipose tissues and kidney fibrosis in HFD + L-NAME-treated mice. In the established HFD + L-NAME-induced HFpEF and metabolic syndrome mouse model, therapeutic treatment with nitazoxanide rescued HFD + L-NAME-induced pathological phenotypes as mentioned above. The in vitro experiments revealed that tizoxanide, the active metabolite of nitazoxanide, increased the basal mitochondria metabolism of cardiomyocytes, inhibited cardiomyocyte hypertrophy and collagen secretion from cardiac fibroblasts, and relaxed phenylephrine- and U46619-induced constriction of rat mesenteric arteries, indicating that the direct effect of tizoxanide might partly contribute to the protective effect of nitazoxanide against HFpEF in vivo. The present study suggests that nitazoxanide might be a potential drug for HFpEF and metabolic syndrome therapy.
2.A chest CT report conclusion generation system based on mT5 large language model for residency training
Yanfei HU ; Ai WANG ; Yaping ZHANG ; Keke ZHAO ; Zhijie PAN ; Qingyao LI ; Min XU ; Xifu WANG ; Xueqian XIE
Chinese Journal of Medical Education Research 2025;24(8):1016-1021
Objective:To fine-tune the mT5 (massively multilingual pre-trained text-to-text transformer) large language model, automatically generate report conclusions for teaching purposes from chest CT image descriptions, and assess the quality of automatically generated conclusions.Methods:The training set included 3 000 high-quality physical examination chest CT reports from one hospital, and the external validation set consisted of 600 physical examination chest CT reports from two other hospitals. Experienced radiology teaching physicians assessed the consistency between the generated conclusions and the original physician-written conclusions in the external validation set using a 5-point Likert scale across five linguistic indicators (correctness of examination information, correctness of lesion detection, standardization of terminology, applicability of the conclusions, and simplicity of conclusions). Using the original report conclusions as the reference, the accuracy of the conclusions generated based on the external validation set in describing four major thoracic conditions (pulmonary nodules, pneumonia, emphysema, pleural effusion) was evaluated. Perform chi square test using SPSS 25.0.Results:In the external validation set, the mean consistency score between the generated conclusions and the original conclusions given by the radiology teaching physicians was >4 points, indicating agreement with the original conclusions. In the generated conclusions, the description of the four major thoracic conditions demonstrated 0.95-1.00 (95% CI=0.91-1.00) accuracy, 0.76-1.00 (95% CI=0.59-1.00) sensitivity, and 0.97-1.00 (95% CI=0.91-1.00) specificity. Conclusions:The chest CT report conclusion generation system based on the mT5 large language model demonstrated high accuracy and is expected to provide immediate and efficient automated guidance for standardized residency training.
3.Swin2SR network for reconstructing chest super-resolution CT images
Qingyao LI ; Min XU ; Yaping ZHANG ; Lu ZHANG ; Lingyun WANG ; Zhijie PAN ; Xueqian XIE
Chinese Journal of Medical Imaging Technology 2025;41(5):739-743
Objective To observe the value of Swin2SR network based on Transformer architecture for reconstructing chest super-resolution CT images.Methods Chest CT data of 218 patients were retrospectively collected.Swin2SR model based on Transformer architecture was adopted to enhance standard 512 matrix(512 × 512)CT images(standard-512 group)into 1 024(SR-1 024 group)and 2 048(SR-2 048 group)matrix SR CT images,respectively.Subjective and objective evaluation of image quality were performed,and the results were compared among groups.Results The subjective scores of overall imaging quality and lesion clarity in SR-1 024 and SR-2 048 groups were both higher than those in standard-512 group(all P<0.05),while no significant difference was found between the former two(P>0.05).Meanwhile,no significant difference of objective indexes of imaging quality was observed among 3 groups(all P>0.05).Conclusion Swin2SR model could reconstruct chest SR CT images without increasing noise and improve imaging quality.
4.Swin2SR network for reconstructing chest super-resolution CT images
Qingyao LI ; Min XU ; Yaping ZHANG ; Lu ZHANG ; Lingyun WANG ; Zhijie PAN ; Xueqian XIE
Chinese Journal of Medical Imaging Technology 2025;41(5):739-743
Objective To observe the value of Swin2SR network based on Transformer architecture for reconstructing chest super-resolution CT images.Methods Chest CT data of 218 patients were retrospectively collected.Swin2SR model based on Transformer architecture was adopted to enhance standard 512 matrix(512 × 512)CT images(standard-512 group)into 1 024(SR-1 024 group)and 2 048(SR-2 048 group)matrix SR CT images,respectively.Subjective and objective evaluation of image quality were performed,and the results were compared among groups.Results The subjective scores of overall imaging quality and lesion clarity in SR-1 024 and SR-2 048 groups were both higher than those in standard-512 group(all P<0.05),while no significant difference was found between the former two(P>0.05).Meanwhile,no significant difference of objective indexes of imaging quality was observed among 3 groups(all P>0.05).Conclusion Swin2SR model could reconstruct chest SR CT images without increasing noise and improve imaging quality.
5.A chest CT report conclusion generation system based on mT5 large language model for residency training
Yanfei HU ; Ai WANG ; Yaping ZHANG ; Keke ZHAO ; Zhijie PAN ; Qingyao LI ; Min XU ; Xifu WANG ; Xueqian XIE
Chinese Journal of Medical Education Research 2025;24(8):1016-1021
Objective:To fine-tune the mT5 (massively multilingual pre-trained text-to-text transformer) large language model, automatically generate report conclusions for teaching purposes from chest CT image descriptions, and assess the quality of automatically generated conclusions.Methods:The training set included 3 000 high-quality physical examination chest CT reports from one hospital, and the external validation set consisted of 600 physical examination chest CT reports from two other hospitals. Experienced radiology teaching physicians assessed the consistency between the generated conclusions and the original physician-written conclusions in the external validation set using a 5-point Likert scale across five linguistic indicators (correctness of examination information, correctness of lesion detection, standardization of terminology, applicability of the conclusions, and simplicity of conclusions). Using the original report conclusions as the reference, the accuracy of the conclusions generated based on the external validation set in describing four major thoracic conditions (pulmonary nodules, pneumonia, emphysema, pleural effusion) was evaluated. Perform chi square test using SPSS 25.0.Results:In the external validation set, the mean consistency score between the generated conclusions and the original conclusions given by the radiology teaching physicians was >4 points, indicating agreement with the original conclusions. In the generated conclusions, the description of the four major thoracic conditions demonstrated 0.95-1.00 (95% CI=0.91-1.00) accuracy, 0.76-1.00 (95% CI=0.59-1.00) sensitivity, and 0.97-1.00 (95% CI=0.91-1.00) specificity. Conclusions:The chest CT report conclusion generation system based on the mT5 large language model demonstrated high accuracy and is expected to provide immediate and efficient automated guidance for standardized residency training.
6.Diagnosis and treatment of kidney transplant recipients infected with novel coronavirus Omicron variant: a single-center experience of 181 cases
Gang LI ; Zhongwei SUN ; Junjie XIE ; Zhijie BAI ; Shaoshuai JI ; Fenwang LIN ; Bolun ZHANG ; Yi SHI ; Lixin YU ; Junsheng YE
Chinese Journal of Organ Transplantation 2023;44(10):628-634
Objective:To explore the risk factors associated with the clinical progression of COVID-19 infection in kidney transplant(KT)recipients during the spread of Omicron variant and evaluate the effectiveness of anti-RNA virus agents in blocking the clinical progression of COVID-19 in these recipients.Methods:Retrospective analysis was conducted for the clinical data on COVID-19 infection in 232 KT recipients followed up from December 4, 2022 to January 31, 2023 at Department of Renal Transplantation, Organ Transplantation Center, Beijing Tsinghua Changgung Hospital.Inclusion criteria were age ≥18 years and stable kidney function without renal replacement therapy.The follow-up time was 30 days after COVID-19 infection.Based upon whether or not there was an infection of COVID-19, KT recipients were divided into two groups of infection(181 cases)and non-infection(51 cases). In infection group, recipients were further assigned into two sub-groups of disease progression(n=23)and stable(158 cases)according to whether or not there was a progression to severe disease.Various factors such as gender, age, body mass index(BMI), time after transplantation, underlying diseases(history of hypertension, diabetes mellitus, coronary heart disease & chronic lung disease), smoking history and dosing of anti-RNA virus agents were collected.Pearson χ2 test or Fisher's exact probability method was utilized for examining enumeration data while Mann-Whitney U test for measurement data.Univariate Logistic regression analysis was conducted and variables with P<0.05 were included into multifactorial Logistic regression analysis to identify independent risk factors for clinical progression of COVID-19 infection in KT recipients. Results:Among 232 KT recipients, infection rate of COVID-19 was 78.0%(181/232). The clinical classification was mild(112 cases), moderate(46 cases), severe(21 cases)and critical(n=2 cases). The severe rate was 12.7%(23/181). After infection with COVID-19, the proportion of KT recipients aged ≥65 years progressing from mild/moderate to severe was higher than those aged<65 years[38.5%(5/13)vs 10.7%(18/168)]. The difference was statistically significant( P=0.014); The proportion of diabetic KT recipients progressing from mild/moderate to severe was higher than those without diabetes[19.1%(13/68)vs 8.8%(10/113)]. The difference was statistically significant( P=0.045). Univariate Logistic analysis showed similar results.Age≥65 years( OR=5.21, 95% CI: 1.54-17.64, P=0.008)or diabetes mellitus( OR=2.44, 95% CI: 1.003-5.911, P=0.049)were the risk factors for COVID-19 infection recipients progressing from mild/moderate to severe disease.Multivariate Logistic analysis revealed that age ≥65 years( OR=4.03, 95% CI: 1.14-14.34, P=0.031)was an independent risk factor for COVID-19 infection recipients progressing from mild/moderate to severe.Among 181 cases of COVID-19 mild/medium infected patients, 18 cases received nimativir/ritonavir and 10 cases had azvudine for anti-RNA virus treatment.However, none of them progressed to severe; 153 cases did not use anti-RNA virus drugs and 23 cases(15.0%)progressed to severe disease and the difference was statistically significant( P=0.028). Among 23 severe cases, 14 cases received nirmatrelvir/ritonavir and 2 cases had azivudine for anti-RNA virus treatment.The former did not progress to critical disease while 1 case in the latter progressed to critical illness and death; 1/7 recipients not using anti-RNA virus agents progressed to critical illness and died while another 6 cases did not progress to critical illness. Conclusions:KT recipients aged ≥65 years or diabetes mellitus have a greater risk of progression from mild/moderate to severe disease after COVID-19 infection.Among them, age ≥65 years is an independent risk factor for patients with COVID-19 infection to progress from mild/moderate to severe.Antiviral treatment with nirmatrelvir/ritonavir or azivudine in KT recipients during mild/moderate stage of COVID-19 infection can significantly reduce the rate of severe disease.Treatment with Nirmatrelvir/Ritonavir is still effective in the severe stage.
7. COVID-19 Pandemic: global epidemiological trends and China’s subsequent preparedness and responses
Yan GUO ; Yangmu HUANG ; Jie HUANG ; Yinzi JIN ; Wen JIANG ; Peilong LIU ; Fangjing LIU ; Junxiong MA ; Jiyan MA ; Yu WANG ; Zheng XIE ; Hui YIN ; Chunshan ZHAO ; Shuduo ZHOU ; Ji ZHANG ; Zhijie ZHENG ; Zhijie ZHENG
Chinese Journal of Epidemiology 2020;41(5):643-648
The outbreak of COVID-19 has spread quickly across 114 countries/territories/areas in six continents worldwide and has been announced as a pandemic by WHO. This study analyzed global COVID-19 epidemiological trends, examined impact of the pandemic on global health security, diplomacy, and social environment in China, and provided short- and long-term strategic policy recommendations for China’s subsequent preparedness and responses.
8.Clinical experience of laparoscopic splenectomy in 62 cases of traumatic spleen rupture
Liang TAO ; Zhijie XIE ; Shufeng GAO ; Qiang HE ; Weiguang ZHOU
Chinese Journal of General Surgery 2019;34(5):428-430
Objective To analyze the safety of laparoscopic splenectomy for traumatic splenic rupture.Methods The clinical data of 62 patients with traumatic splenic rupture treated by laparoscopic splenectomy in our hospital from Jan 2013 to Jan 2018 were retrospectively analyzed.Results All 62 patients successfully underwent laparoscopic surgery except for 1 case who was converted to open surgery.One case suffered from postoperative bleeding.There was no infection,serious pancreatic leakage and other major complications.The total amount of intraoperative bleeding was 1 600 ml on average,the average operation time was 135 min,the average splenectomy time was 55 min,and the average hospital stay was 12.5 d.Conclusion Laparoscopic splenectomy is a safe and reliable minimally invasive operation for traumatic splenic rupture.
9. Analysis of vaccination situation of orial live attenuated rotavirus vaccine (LLR strain) among children in 6 provinces of China
Yan LIU ; Chenyan YUE ; Yan LI ; Yamin WANG ; Shirui GAO ; Zhiguo WANG ; Xin XIE ; Hongping ZHAO ; Dong WANG ; Xuefeng LIANG ; Zhijie AN
Chinese Journal of Preventive Medicine 2018;52(3):282-286
Objective:
To analyze vaccination situation of oral live attenuated rotavirus vaccine (LLR strain) among children from six provinces in China.
Methods:
In 2014, we selected 12 counties in Guangdong, Jiangsu, Chongqing, Jiangxi, Heilongjiang and Gansu provinces by using stratified cluster random sampling method and extract information of children born from January 1, 2008 to December 31, 2012 from Children's Immunization Information System. We investigated ten children of each birth cohort in each county by checking the vaccination certification, and a total of 606 children were investigated. A survey was conducted to check the information of the children's vaccination certification with the data of Children's Immunization Information System by questionnaire including the basic information (province, county, name, gender, birth date, etc) and the rotavirus vaccination (vaccination date, dose, etc) to analyze the rotavirus vaccination situation.
Results:
340 of 606 children were male. There were 121, 124, 122, 119 and 120 children born in 2008-2012, respectively. The proportions of the first and the second dose of rotavirus vaccination were 32.8% (199) and 9.7% (59). The proportion of the third dose of rotavirus vaccination among children born between 2008 and 2010 was 3.5% (13) since children born in 2011 and 2012 did not reach the age of third dose vaccination. The proportion of the first dose of rotavirus vaccination in high, middle and low per capita disposable income areas was 45.0% (91), 37.7% (77) and 15.5% (31) respectively (χ2= 43.15,
10.In situ secondary spleen pedicle amputation in laparoscopic splenectomy vs open splenectomy for traumatic spleen rupture
Liang TAO ; Xiaohui WEN ; Yiting LU ; Zhijie XIE
Chinese Journal of General Surgery 2017;32(2):112-115
Objective To compare clinical efficacy between the situ secondary spleen pedicle amputation in laparoscopic splenectomy and open splenectomy for traumatic spleen rupture.Methods From January 2013 to June 2015 a total of 70 patients with splenic rupture undergoing splenectomy were devided into laparoscopic surgery (35 cases) and open surgery (35 cases) group.Clinical data included total intraoperative blood loss,the time spent on splenic artery ligation,total operation time,postoperative drainage volume,postoperative hemoglobin,platelet and albumin levels,time of anal exsufflation,hospital stay and postoperative complications.Results The average operation time in the OS group was shorter than that in LS group (P < 0.05).However,LS group was better than the OS group in splenic artery ligation time,postoperative drainage volume,anus aerofluxus time,postoperative platelet count,postoperative albumin recovery,hospital stay and postoperative complications (all P < 0.05).Conclusions The laparoscopic splenectomy by the amputation of in situ secondary spleen pedicle for traumatic spleen rupture has the advantages of a rapid recovery and a low postoperative complication.

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