1.Characterization and antibacterial activity of prokaryotic recombinantly expressed phage lysin LysZHSHW of Acinetobacter baumannii
Yuqian LIN ; Junlin LIU ; Jiali DENG ; Jinglin HUANG ; Zheming SHI ; Fenglin FENG ; Yongxue SUN
Chinese Journal of Veterinary Science 2024;44(9):1965-1975
The aim of this study is to evaluate the in vitro and in vivo antibacterial potential of Ly-sZHSHW,a phage lysin against Acinetobacter baumannii infections,and to study its characteris-tics.The pET28a-Lys recombinant plasmid containing LysZHSHW coding gene was constructed by PCR,enzyme digestion and ligation using the expression plasmid pET28a as the backbone and ex-pressed in E.coli BL21(DE3).After confirming the expression of the LysZHSHW through West-ern blot analysis,its characterization and potential applications were assessed both in vitro and in vivo.The results showed that the pET28a-Lys recombinant plasmid was successfully constructed and the LysZHSHW protein was expressed correctly.The mass concentration of the purified en-zyme was 4 086 mg/L,which could be used for subsequent experiments.The enzymatic activity of LysZHSHW was determined to be 630 U/μg,with maximum activity observed at 25 ℃ and pH9.0.In vitro experiments demonstrated that 1 000 or 750 mg/L of LysZHSHW,in the presence of EDTA,resulted in a four-log reduction in bacterial counts without any cytotoxicity.In vivo,2.5 μg of LysZHSHW combined with EDTA could increase the survival rate of Galleria mellonel-la larvae infection model to 92.86%after 24 hours,and 0.15 mg of LysZHSHW reduced the bacte-rial load in the thighs of mice by 2.8 logs and alleviated the inflammatory response in muscle fi-bers.In conclusion,LysZHSHW derived from Acinetobacter baumannii bacteriophage exhibited characteristics such as stability at room temperature,alkaline pH,and safety,making it a promis-ing candidate as a novel antimicrobial agent.
2.CatBoost algorithm and Bayesian network model analysis based on risk prediction of cardiovascular and cerebro vascular diseases
Aimin WANG ; Fenglin WANG ; Yiming HUANG ; Yaqi XU ; Wenjing ZHANG ; Xianzhu CONG ; Weiqiang SU ; Suzhen WANG ; Mengyao GAO ; Shuang LI ; Yujia KONG ; Fuyan SHI ; Enxue TAO
Journal of Jilin University(Medicine Edition) 2024;50(4):1044-1054
Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8%.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.
3.Screening of key immune-related gene in Parkinson's disease based on WGCNA and machine learning
Yiming HUANG ; Aimin WANG ; Fenglin WANG ; Yaqi XU ; Wenjing ZHANG ; Fuyan SHI ; Suzhen WANG
Journal of Central South University(Medical Sciences) 2024;49(2):207-219
Objective:Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease.However,we still don't fully understand how certain immune-related genes contribute to the disease's development and progression.This study aims to screen key immune-related gene in Parkinson's disease based on weighted gene co-expression network analysis(WGCNA)and machine learning. Methods:This study downloaded the gene chip data from the Gene Expression Omnibus(GEO)database,and used WGCNA to screen out important gene modules related to Parkinson's disease.Genes from important modules were exported and a Venn diagram of important Parkinson's disease-related genes and immune-related genes was drawn to screen out immune related genes of Parkinson's disease.Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)were used to analyze the the functions of immune-related genes and signaling pathways involved.Immune cell infiltration analysis was performed using the CIBERSORT package of R language.Using bioinformatics method and 3 machine learning methods[least absolute shrinkage and selection operator(LASSO)regression,random forest(RF),and support vector machine(SVM)],the immune-related genes of Parkinson's disease were further screened.A Venn diagram of differentially expressed genes screened using the 4 methods was drawn with the intersection gene being hub nodes(hub)gene.The downstream proteins of the Parkinson's disease hub gene was identified through the STRING database and a protein-protein interaction network diagram was drawn. Results:A total of 218 immune genes related to Parkinson's disease were identified,including 45 upregulated genes and 50 downregulated genes.Enrichment analysis showed that the 218 genes were mainly enriched in immune system response to foreign substances and viral infection pathways.The results of immune infiltration analysis showed that the infiltration percentages of CD4+ T cells,NK cells,CD8+ T cells,and B cells were higher in the samples of Parkinson's disease patients,while resting NK cells and resting CD4+ T cells were significantly infiltrated in the samples of Parkinson's disease patients.ANK1 was screened out as the hub gene.The analysis of the protein-protein interaction network showed that the ANK1 translated and expressed 11 proteins which mainly participated in functions such as signal transduction,iron homeostasis regulation,and immune system activation. Conclusion:This study identifies the Parkinson's disease immune-related key gene ANK1 via WGCNA and machine learning methods,suggesting its potential as a candidate therapeutic target for Parkinson's disease.
4.Incidence of postoperative complications in Chinese patients with gastric or colorectal cancer based on a national, multicenter, prospective, cohort study
Shuqin ZHANG ; Zhouqiao WU ; Bowen HUO ; Huining XU ; Kang ZHAO ; Changqing JING ; Fenglin LIU ; Jiang YU ; Zhengrong LI ; Jian ZHANG ; Lu ZANG ; Hankun HAO ; Chaohui ZHENG ; Yong LI ; Lin FAN ; Hua HUANG ; Pin LIANG ; Bin WU ; Jiaming ZHU ; Zhaojian NIU ; Linghua ZHU ; Wu SONG ; Jun YOU ; Su YAN ; Ziyu LI
Chinese Journal of Gastrointestinal Surgery 2024;27(3):247-260
Objective:To investigate the incidence of postoperative complications in Chinese patients with gastric or colorectal cancer, and to evaluate the risk factors for postoperative complications.Methods:This was a national, multicenter, prospective, registry-based, cohort study of data obtained from the database of the Prevalence of Abdominal Complications After Gastro- enterological Surgery (PACAGE) study sponsored by the China Gastrointestinal Cancer Surgical Union. The PACAGE database prospectively collected general demographic characteristics, protocols for perioperative treatment, and variables associated with postoperative complications in patients treated for gastric or colorectal cancer in 20 medical centers from December 2018 to December 2020. The patients were grouped according to the presence or absence of postoperative complications. Postoperative complications were categorized and graded in accordance with the expert consensus on postoperative complications in gastrointestinal oncology surgery and Clavien-Dindo grading criteria. The incidence of postoperative complications of different grades are presented as bar charts. Independent risk factors for occurrence of postoperative complications were identified by multifactorial unconditional logistic regression.Results:The study cohort comprised 3926 patients with gastric or colorectal cancer, 657 (16.7%) of whom had a total of 876 postoperative complications. Serious complications (Grade III and above) occurred in 4.0% of patients (156/3926). The rate of Grade V complications was 0.2% (7/3926). The cohort included 2271 patients with gastric cancer with a postoperative complication rate of 18.1% (412/2271) and serious complication rate of 4.7% (106/2271); and 1655 with colorectal cancer, with a postoperative complication rate of 14.8% (245/1655) and serious complication rate of 3.0% (50/1655). The incidences of anastomotic leakage in patients with gastric and colorectal cancer were 3.3% (74/2271) and 3.4% (56/1655), respectively. Abdominal infection was the most frequently occurring complication, accounting for 28.7% (164/572) and 39.5% (120/304) of postoperative complications in patients with gastric and colorectal cancer, respectively. The most frequently occurring grade of postoperative complication was Grade II, accounting for 65.4% (374/572) and 56.6% (172/304) of complications in patients with gastric and colorectal cancers, respectively. Multifactorial analysis identified (1) the following independent risk factors for postoperative complications in patients in the gastric cancer group: preoperative comorbidities (OR=2.54, 95%CI: 1.51-4.28, P<0.001), neoadjuvant therapy (OR=1.42, 95%CI:1.06-1.89, P=0.020), high American Society of Anesthesiologists (ASA) scores (ASA score 2 points:OR=1.60, 95% CI: 1.23-2.07, P<0.001, ASA score ≥3 points:OR=0.43, 95% CI: 0.25-0.73, P=0.002), operative time >180 minutes (OR=1.81, 95% CI: 1.42-2.31, P<0.001), intraoperative bleeding >50 mL (OR=1.29,95%CI: 1.01-1.63, P=0.038), and distal gastrectomy compared with total gastrectomy (OR=0.65,95%CI: 0.51-0.83, P<0.001); and (2) the following independent risk factors for postoperative complications in patients in the colorectal cancer group: female (OR=0.60, 95%CI: 0.44-0.80, P<0.001), preoperative comorbidities (OR=2.73, 95%CI: 1.25-5.99, P=0.030), neoadjuvant therapy (OR=1.83, 95%CI:1.23-2.72, P=0.008), laparoscopic surgery (OR=0.47, 95%CI: 0.30-0.72, P=0.022), and abdominoperineal resection compared with low anterior resection (OR=2.74, 95%CI: 1.71-4.41, P<0.001). Conclusion:Postoperative complications associated with various types of infection were the most frequent complications in patients with gastric or colorectal cancer. Although the risk factors for postoperative complications differed between patients with gastric cancer and those with colorectal cancer, the presence of preoperative comorbidities, administration of neoadjuvant therapy, and extent of surgical resection, were the commonest factors associated with postoperative complications in patients of both categories.
5.Incidence of postoperative complications in Chinese patients with gastric or colorectal cancer based on a national, multicenter, prospective, cohort study
Shuqin ZHANG ; Zhouqiao WU ; Bowen HUO ; Huining XU ; Kang ZHAO ; Changqing JING ; Fenglin LIU ; Jiang YU ; Zhengrong LI ; Jian ZHANG ; Lu ZANG ; Hankun HAO ; Chaohui ZHENG ; Yong LI ; Lin FAN ; Hua HUANG ; Pin LIANG ; Bin WU ; Jiaming ZHU ; Zhaojian NIU ; Linghua ZHU ; Wu SONG ; Jun YOU ; Su YAN ; Ziyu LI
Chinese Journal of Gastrointestinal Surgery 2024;27(3):247-260
Objective:To investigate the incidence of postoperative complications in Chinese patients with gastric or colorectal cancer, and to evaluate the risk factors for postoperative complications.Methods:This was a national, multicenter, prospective, registry-based, cohort study of data obtained from the database of the Prevalence of Abdominal Complications After Gastro- enterological Surgery (PACAGE) study sponsored by the China Gastrointestinal Cancer Surgical Union. The PACAGE database prospectively collected general demographic characteristics, protocols for perioperative treatment, and variables associated with postoperative complications in patients treated for gastric or colorectal cancer in 20 medical centers from December 2018 to December 2020. The patients were grouped according to the presence or absence of postoperative complications. Postoperative complications were categorized and graded in accordance with the expert consensus on postoperative complications in gastrointestinal oncology surgery and Clavien-Dindo grading criteria. The incidence of postoperative complications of different grades are presented as bar charts. Independent risk factors for occurrence of postoperative complications were identified by multifactorial unconditional logistic regression.Results:The study cohort comprised 3926 patients with gastric or colorectal cancer, 657 (16.7%) of whom had a total of 876 postoperative complications. Serious complications (Grade III and above) occurred in 4.0% of patients (156/3926). The rate of Grade V complications was 0.2% (7/3926). The cohort included 2271 patients with gastric cancer with a postoperative complication rate of 18.1% (412/2271) and serious complication rate of 4.7% (106/2271); and 1655 with colorectal cancer, with a postoperative complication rate of 14.8% (245/1655) and serious complication rate of 3.0% (50/1655). The incidences of anastomotic leakage in patients with gastric and colorectal cancer were 3.3% (74/2271) and 3.4% (56/1655), respectively. Abdominal infection was the most frequently occurring complication, accounting for 28.7% (164/572) and 39.5% (120/304) of postoperative complications in patients with gastric and colorectal cancer, respectively. The most frequently occurring grade of postoperative complication was Grade II, accounting for 65.4% (374/572) and 56.6% (172/304) of complications in patients with gastric and colorectal cancers, respectively. Multifactorial analysis identified (1) the following independent risk factors for postoperative complications in patients in the gastric cancer group: preoperative comorbidities (OR=2.54, 95%CI: 1.51-4.28, P<0.001), neoadjuvant therapy (OR=1.42, 95%CI:1.06-1.89, P=0.020), high American Society of Anesthesiologists (ASA) scores (ASA score 2 points:OR=1.60, 95% CI: 1.23-2.07, P<0.001, ASA score ≥3 points:OR=0.43, 95% CI: 0.25-0.73, P=0.002), operative time >180 minutes (OR=1.81, 95% CI: 1.42-2.31, P<0.001), intraoperative bleeding >50 mL (OR=1.29,95%CI: 1.01-1.63, P=0.038), and distal gastrectomy compared with total gastrectomy (OR=0.65,95%CI: 0.51-0.83, P<0.001); and (2) the following independent risk factors for postoperative complications in patients in the colorectal cancer group: female (OR=0.60, 95%CI: 0.44-0.80, P<0.001), preoperative comorbidities (OR=2.73, 95%CI: 1.25-5.99, P=0.030), neoadjuvant therapy (OR=1.83, 95%CI:1.23-2.72, P=0.008), laparoscopic surgery (OR=0.47, 95%CI: 0.30-0.72, P=0.022), and abdominoperineal resection compared with low anterior resection (OR=2.74, 95%CI: 1.71-4.41, P<0.001). Conclusion:Postoperative complications associated with various types of infection were the most frequent complications in patients with gastric or colorectal cancer. Although the risk factors for postoperative complications differed between patients with gastric cancer and those with colorectal cancer, the presence of preoperative comorbidities, administration of neoadjuvant therapy, and extent of surgical resection, were the commonest factors associated with postoperative complications in patients of both categories.
6.ACSL5, a prognostic factor in acute myeloid leukemia, modulates the activity of Wnt/β-catenin signaling by palmitoylation modification.
Wenle YE ; Jinghan WANG ; Jiansong HUANG ; Xiao HE ; Zhixin MA ; Xia LI ; Xin HUANG ; Fenglin LI ; Shujuan HUANG ; Jiajia PAN ; Jingrui JIN ; Qing LING ; Yungui WANG ; Yongping YU ; Jie SUN ; Jie JIN
Frontiers of Medicine 2023;17(4):685-698
Acyl-CoA synthetase long chain family member 5 (ACSL5), is a member of the acyl-CoA synthetases (ACSs) family that activates long chain fatty acids by catalyzing the synthesis of fatty acyl-CoAs. The dysregulation of ACSL5 has been reported in some cancers, such as glioma and colon cancers. However, little is known about the role of ACSL5 in acute myeloid leukemia (AML). We found that the expression of ACSL5 was higher in bone marrow cells from AML patients compared with that from healthy donors. ACSL5 level could serve as an independent prognostic predictor of the overall survival of AML patients. In AML cells, the ACSL5 knockdown inhibited cell growth both in vitro and in vivo. Mechanistically, the knockdown of ACSL5 suppressed the activation of the Wnt/β-catenin pathway by suppressing the palmitoylation modification of Wnt3a. Additionally, triacsin c, a pan-ACS family inhibitor, inhibited cell growth and robustly induced cell apoptosis when combined with ABT-199, the FDA approved BCL-2 inhibitor for AML therapy. Our results indicate that ACSL5 is a potential prognosis marker for AML and a promising pharmacological target for the treatment of molecularly stratified AML.
Humans
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Antineoplastic Agents/therapeutic use*
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Apoptosis
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beta Catenin/metabolism*
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Biomarkers, Tumor/metabolism*
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Cell Line, Tumor
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Coenzyme A Ligases/metabolism*
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Leukemia, Myeloid, Acute/metabolism*
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Lipoylation
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Prognosis
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Wnt Signaling Pathway
7.Abivertinib inhibits megakaryocyte differentiation and platelet biogenesis.
Jiansong HUANG ; Xin HUANG ; Yang LI ; Xia LI ; Jinghan WANG ; Fenglin LI ; Xiao YAN ; Huanping WANG ; Yungui WANG ; Xiangjie LIN ; Jifang TU ; Daqiang HE ; Wenle YE ; Min YANG ; Jie JIN
Frontiers of Medicine 2022;16(3):416-428
Abivertinib, a third-generation tyrosine kinase inhibitor, is originally designed to target epidermal growth factor receptor (EGFR)-activating mutations. Previous studies have shown that abivertinib has promising antitumor activity and a well-tolerated safety profile in patients with non-small-cell lung cancer. However, abivertinib also exhibited high inhibitory activity against Bruton's tyrosine kinase and Janus kinase 3. Given that these kinases play some roles in the progression of megakaryopoiesis, we speculate that abivertinib can affect megakaryocyte (MK) differentiation and platelet biogenesis. We treated cord blood CD34+ hematopoietic stem cells, Meg-01 cells, and C57BL/6 mice with abivertinib and observed megakaryopoiesis to determine the biological effect of abivertinib on MK differentiation and platelet biogenesis. Our in vitro results showed that abivertinib impaired the CFU-MK formation, proliferation of CD34+ HSC-derived MK progenitor cells, and differentiation and functions of MKs and inhibited Meg-01-derived MK differentiation. These results suggested that megakaryopoiesis was inhibited by abivertinib. We also demonstrated in vivo that abivertinib decreased the number of MKs in bone marrow and platelet counts in mice, which suggested that thrombopoiesis was also inhibited. Thus, these preclinical data collectively suggested that abivertinib could inhibit MK differentiation and platelet biogenesis and might be an agent for thrombocythemia.
Acrylamides/pharmacology*
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Animals
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Blood Platelets/drug effects*
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Cell Differentiation
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Megakaryocytes/drug effects*
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Mice
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Mice, Inbred C57BL
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Piperazines/pharmacology*
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Pyrimidines/pharmacology*
8.Difference of accuracy between magnetic induction Freehand-3D ultrasound and two-dimensional ultrasound in measuring the volume of thyroid model
Ying HUANG ; Xiaofeng WU ; Kai WANG ; Mengshang HU ; Mengqi ZHOU ; Lihong ZHANG ; Mengyao SUN ; Fenglin DONG
Chinese Journal of Ultrasonography 2021;30(4):341-345
Objective:To investigate the difference of accuracy between magnetic induction Freehand-3D ultrasound and two-dimensional ultrasound in measuring the volume of thyroid model.Methods:Forty thyroid models were established using porcine liver, and the Archimedes procedure was set as gold standard in the measurement of the volume of each model. The accuracy of measurement of the porcine thyroid model volume between two-dimensional ultrasound and magnetic induction Freehand-3D ultrasound were compared.Results:There were no significant differences in the accuracy of measurements of thyroid model volume among two-dimensional ultrasound, magnetic induction Freehand-3D ultrasound and Archimedes procedure (all P>0.05). Compared with the Archimedes procedure, magnetic induction Freehand-3D ultrasonic method showed higher correlation coefficient of the measurement of thyroid model volume ( r=0.998). Bland-Altman analysis showed the lower measure error with a relative error of 3.42% and range of -9.57% to 12.07%. And the limits of agreement were (-1.253, 0.999) in the magnetic induction Freehand-3D ultrasonic measurement. Conclusions:Compared with two-dimensional ultrasound, the magnetic induction Freehand-3D ultrasound show higher accuracy in the measurement of the volume of the thyroid model.
9.The clinical value of MRI in quantitative evaluation of anterior cruciate ligament mucoid degeneration
Yudan LI ; Fenglin XUE ; Yilong HUANG ; Zhenguang ZHANG ; Yanlin LI ; Guoliang WANG ; Guangtao FAN ; Tianfu QI ; Bo HE
Chinese Journal of Radiology 2021;55(10):1071-1075
Objective:To explore the clinical application value of MRI in quantitative evaluation of anterior cruciate ligament mucoid degeneration (ACL-MD).Methods:From March to July 2020, 40 patients who were scheduled to undergo arthroscopic treatment were prospectively collected in the First Affiliated Hospital of Kunming Medical University.The anterior cruciate ligament tissue from the lateral edge of the tibial end was taken during the operation. Based on the pathologicalre sults, the patients were divided into the ACL-MD group ( n=19) and the normal group ( n=21). The sagittal plane three-dimensional steady-state rapid precession (3D-FIESTA), T 1 mapping, T 2 mapping, and T 2* mapping were performed before the knee joint surgery, and the scanned images were post-processed and analyzed to measure the T 1, T 2, and T 2* values of the tibial end of the anterior cruciate ligament.The relaxation time of the ACL-MD group and the normal group was compared using independent sample t test. The ROC curve was drawn using each parameter and the areas under the curve (AUC) for the diagnosis of ACL-MD were obtained.DeLong test was used to compare the differences of AUCs. Results:The T 1 [(1 291.9±273.4) ms], T 2 [(54.8±10.6) ms], and T 2* values [(30.6±6.4) ms] of anterior cruciate ligaments in the ACL-MD group were significantly higher than those in the normal group [ (1 087.0±121.0), (44.8±7.1), (20.4±4.8) ms; t=3.011, 3.473, 5.658, all P<0.001]. The AUCs of T 1, T 2, T 2* were 0.747, 0.764, 0.912, sensitivity of 63.2%, 63.2%, 100%, and the specificity of 100%, 95.2%, 76.2% in diagnosing ACL-MD. The AUC of the T 2* value was higher than those of the T 1 and T 2 values, and the differences were statistically significant ( Z=1.734, 2.162, P=0.043, 0.031). Conclusion:T 1, T 2, T 2*values measured by MRI quantitative imaging have high performance in assessing knee joint ACL-MD, and T 2* value has the largest AUC and the highest diagnostic efficiency.
10. A multicenter prospective study on incidence and risk factors of postoperative pancreatic fistula after radical gastrectomy: a report of 2 089 cases
Zhaoqing TANG ; Gang ZHAO ; Lu ZANG ; Ziyu LI ; Weidong ZANG ; Zhengrong LI ; Jianjun QU ; Su YAN ; Chaohui ZHENG ; Gang JI ; Linghua ZHU ; Yongliang ZHAO ; Jian ZHANG ; Hua HUANG ; Yingxue HAO ; Lin FAN ; Hongtao XU ; Yong LI ; Li YANG ; Wu SONG ; Jiaming ZHU ; Wenbin ZHANG ; Minzhe LI ; Fenglin LIU
Chinese Journal of Digestive Surgery 2020;19(1):63-71
Objective:
To investigate the incidence of postoperative pancreatic fistula (POPF) and its risk factors after radical gastrectomy.
Methods:
The prospective study was conducted. The clinicopathological data of 2 089 patients who underwent radical gastrectomy in 22 medical centers between December 2017 and November 2018 were collected, including 380 in the Zhongshan Hospital of Fudan University, 351 in the Renji Hospital of Shanghai Jiaotong University School of Medicine, 130 in the Ruijin Hospital of Shanghai Jiaotong University School of Medicine, 139 in the Peking University Cancer Hospital, 128 in the Fujian Provincial Cancer Hospital, 114 in the First Hospital Affiliated to Army Medical University, 104 in the First Affiliated Hospital of Nanchang University, 104 in the Affiliated Hospital of Qinghai University, 103 in the Weifang People′s Hospital, 102 in the Fujian Medical University Union Hospital, 99 in the First Affiliated Hospital of Air Force Medical University, 97 in the Sir Run Run Shaw Hospital Affiliated to Zhejiang University School of Medicine, 60 in the Hangzhou First People′s Hospital Affiliated to Zhejiang University School of Medicine, 48 in the Fudan University Shanghai Cancer Center, 29 in the First Affiliated Hospital of Xi′an Jiaotong University, 26 in the Lishui Municipal Central Hospital, 26 in the Guangdong Provincial People′s Hospital, 23 in the Jiangsu Province Hospital, 13 in the First Affiliated Hospital of Sun Yat-Sen University, 7 in the Second Hospital of Jilin University, 4 in the First Affiliated Hospital of Xinjiang Medical University, 2 in the Beijing Chao-Yang Hospital of Capital Medical University. Observation indicators: (1) the incidence of POPF after radical gastrectomy; (2) treatment of grade B POPF after radical gastrectomy; (3) analysis of clinicopathological data; (4) analysis of surgical data; (5) risk factors for grade B POPF after radical gastrectomy. Measurement data with normal distribution were represented as

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