1.Development of a triplex quantitative reverse transcription-polymerase chain reac-tion for the detection of porcine epidemic diarrhea virus,transmissible gastroenter-itis virus,andporcine delta coronavirus
Qianlin CHEN ; Shaomei LI ; Yifan ZHANG ; Hao MU ; Mingni LIU ; Liu YANG ; Qingyong GUO ; Lizhi FU
Chinese Journal of Veterinary Science 2025;45(5):905-912
Swine enteric coronaviruses(SeCoV),such as porcine epidemic diarrhea virus(PEDV),transmissible gastroenteritis virus(TGEV),and porcine delta coronavirus(PDCoV),cause severe diarrhea in piglets,resulting in substantial losses in pig farming.In this study we establish a triple fluorescence reverse transcription-quantitative PCR(RT-qPCR)method for the simultaneous de-tection of PEDV,TGEV,and PDCoV.The specific primers and probes for each target virus were designed based on conserved sequences from the PEDV M gene,the TGEV ORF 1b gene,and the PDCoV ORF 1b gene respectively.Following the optimization of parameters and conditions,a triple RT-qPCR method was successfully established to simultaneously detect PEDV,TGEV,and PD-CoV.The developed assay exhibits strong specificity for these three pathogens without any cross-reaction with other common porcine viruses like CSFV,PCV2,PoRVA,PRV,and PRRSV.The de-tection limit of linear templates for pTOPO-PEDV 128,pTOPO-TGEV 116,and pTOPO-PDCoV 125 recombinant plasmids were 16.835,17.610 and 17.020 copies/μL,respectively.The intra group and inter group coefficients of variation were less than 5%,with no significant differences observed(P>0.05).Moreover,the detection consistency rate of the developed RT-qPCR was compared with standard method and showed 100%agreement.Out of 35 small intestine tissue samples,17 tested positive for PEDV,resulting in a positive rate of 48.57%(17/35).The tests for TGEV and PDCoV yielded negative results,and no mixed infections were detected.Based on the above results,the tri-ple RT-qPCR method established is specific,sensitive,stable,and rapid,and can be used for clinical detection and differential diagnosis of PEDV,TGEV,and PDCoV simultaneously,providing a method for the detection and epidemiological investigation of porcine diarrhea coronaviruses.
2.Clinical application of three-dimensional visualization reconstruction technology in robot-assisted laparoscopic partial nephrectomy for renal hilar tumors with R.E.N.A.L. score≥10
Luyao CHEN ; Xiaoqiang LIU ; Yifan TAN ; Weipeng LIU ; Jieping HU ; Jing XIONG ; Kang WANG ; Tao LIU ; Gongxian WANG ; Bin FU
Chinese Journal of Urology 2025;46(5):363-368
Objective:To explore the application value of three-dimensional visualization reconstruction technology in robot-assisted laparoscopic partial nephrectomy(RAPN)for the treatment of highly complex(R.E.N.A.L. score≥10)renal hilar tumors.Methods:The clinical data of 87 patients with highly complex renal hilar tumors with R.E.N.A.L. scores ≥10 who were treated in First Affiliated Hospital of Nanchang University from January 2021 to December 2024 were retrospectively analyzed,of which 36 underwent 3D visualization reconstruction and 51 underwent conventional CT. The 3D visualization reconstruction method was to import the patient’s enhanced CT images in DICOM format into the 3D reconstruction image data processing software to produce a 3D visualization model. There were 22 males and 14 females in the 3D visualization group,with an average age of(54.2 ± 9.5)years,a body mass index of(24.8 ± 4.5)kg/m 2,and a tumor size of(4.3 ± 1.0)cm. Tumors were located on the left side in 16 cases and on the right side in 20 cases. Tumor stages were classified as T 1a in 11 cases,T 1b in 21 cases,and T 2a in 4 cases. The R.E.N.A.L. scores were distributed as follows:10 points in 21 cases,11 points in 12 cases,and 12 points in 3 cases. The estimated glomerular filtration rate(eGFR)before operation was(78.2±9.6)ml/(min·1.73 m 2). There were 35 males and 16 females in the conventional CT group,with an average age of(51.3±8.9)years,a body mass index of(25.4 ± 3.9)kg/m 2,and a tumor size of(4.1 ± 1.2)cm. Tumors were located on the left side in 25 cases and on the right side in 26 cases. Tumor stages were classified as T 1a in 12 cases,T 1b in 33 cases,and T 2a in 6 cases. The R.E.N.A.L. scores were distributed as follows:10 points in 31 cases,11 points in 18 cases,and 12 points in 2 cases . The preoperative eGFR was(80.6 ± 8.8)ml/(min·1.73 m 2). There was no statistical difference in general data and preoperative renal function between the two groups( P > 0.05). Both groups underwent RAPN. The two groups were analyzed and compared in terms of operation time,warm ischemia time,intraoperative blood loss,postoperative hospital stay,postoperative complications,and changes in renal function 3 months after surgery. Results:There were no cases of conversion to radical treatment or open surgery in both the 3D visualization group and the conventional CT group. The 3D visualization group had shorter operation time[(94.6 ± 18.5)min vs.(110.2 ± 17.2)min, P < 0.001],shorter renal artery occlusion time[(23.3 ± 4.0)min vs.(27.2 ± 3.3)min, P < 0.001],less intraoperative blood loss[120(100,250)ml vs. 150(120,300)ml, P = 0.018],and a lower proportion of intraoperative collecting system incision(19/36 vs. 38/51, P = 0.042)than the conventional CT group. There was no significant statistical difference in the time of postoperative drainage tube removal and postoperative hospital stay between the two groups( P > 0.05). One case in the 3D visualization group had postoperative fever,and two cases in the conventional CT group had postoperative obvious macroscopic hematuria. Postoperative pathological diagnosis of the patients was clear cell carcinoma in 78 cases,papillary cell carcinoma in 6 cases,chromophobe cell carcinoma in 2 cases,and oncocytoma in 1 case. No positive resection margin was found in both groups. Three months after surgery,there was no significant statistical difference in eGFR between the two groups[(70.6 ± 8.5)ml/(min·1.73 m 2)vs.(71.4 ± 9.2)ml/(min·1.73 m 2), P = 0.681]. During the median follow-up of 17.8 months,no tumor recurrence or metastasis was observed in either group. Conclusions:RAPN has good safety and feasibility in the treatment of highly complex(R.E.N.A.L. score ≥10)renal hilar tumors. Preoperative three-dimensional visualization reconstruction technology helps to reduce RAPN operation time,renal artery occlusion time and intraoperative blood loss,and has good clinical application value.
3.High-risk factors for significant liver histopathological damage in patients with indeterminate phase of chronic HBV infection
Wenchang WANG ; Xuyang LI ; Chunyan WANG ; Mengwen HE ; Yifan GUO ; Yiming FU ; Miao LIU ; Dong JI
Journal of Clinical Hepatology 2025;41(11):2258-2264
ObjectiveTo investigate the features of liver histopathological damage in patients with indeterminate phase of chronic HBV infection, as well as the timing for initiating antiviral therapy in such patients. MethodsA retrospective screening was performed for the patients with chronic HBV infection who were hospitalized in The Fifth Medical Center of Chinese PLA General Hospital and underwent liver biopsy from March 2018 to April 2022, among whom the patients who met the criteria for indeterminate phase defined in Chinese guidelines for chronic hepatitis B prevention and treatment (2022 edition) were enrolled, and their clinical data were collected. Liver histopathological stage was determined using the Scheuer scoring system, with stages 0 — 4 for inflammation grade (G) and stages 0 — 4 for fibrosis degree (S), and the patients were divided into groups based on the presence of significant necroinflammation (≥G2) and significant liver fibrosis (≥S2). The independent samples t-test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two groups; the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A Spearman’s rank correlation analysis was used to investigate the correlation between liver histopathology and clinical factors, and the Logistic regression model was used to identify the independent influencing factors for significant necroinflammation and liver fibrosis. ResultsA total of 271 patients with indeterminate phase of chronic HBV infection were enrolled, among whom 61 (22.5%) had significant necroinflammation (≥G2) and 124 (45.8%) had significant liver fibrosis (≥S2). The Logistic regression analysis showed that alanine aminotransferase ≥30 U/L (for male patients) or ≥19 U/L (for female patients) (odds ratio [OR]=2.69, 95% confidence interval [CI]: 1.39 — 5.21, P=0.003), HBV DNA ≥2 000 IU/mL (OR=2.75, 95%CI: 1.38 — 5.48, P=0.004), and liver stiffness measurement (LSM) ≥6.0 kPa (OR=4.57, 95%CI: 2.17 — 9.62, P<0.001) were independent risk factors for significant inflammation. HBV DNA ≥2 000 IU/mL (OR=1.82, 95%CI: 1.01 — 3.32, P=0.049) and LSM ≥6.0 kPa (OR=2.06, 95%CI: 1.23 — 3.43, P=0.006) were independent influencing factors for significant liver fibrosis. ConclusionAmong the patients with indeterminate phase of chronic HBV infection, a substantial proportion of patients have significant liver histopathological damage. Antiviral therapy should be initiated in a timely manner for patients with high-risk factors.
4.Analysis of Differences in Secondary Metabolites Between Dendrobium nobile Bionic Wild Cultivated on Epiphytic Stones and Trees Based on Widely Targeted Metabolomics
Yifan SHI ; Changqing ZHOU ; Jiaojiao WANG ; Lin CHEN ; Hongping CHEN ; Fu WANG ; Yuan HU ; Youping LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):218-224
ObjectiveTo explore the differences in the accumulation of secondary metabolites of Dendrobium nobile cultivated on epiphytic stones and trees, so as to elucidate the scientific connotation of "only those that grow on stones has superior quality", and provide a direction for the cultivation and quality evaluation of D. nobile. MethodsUltra-performance liquid chromatography-triple quadrupole/linear ion trap mass spectrometry(UPLC-QTRAP-MS/MS)-based widely targeted metabolomics was used to detect the metabolites of D. nobile cultivated on epiphytic stones and trees. And the combination of principal component analysis(PCA), hierarchical cluster analysis(HCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) was performed for multivariate statistical analysis of metabolites. Differential metabolites were screened by variable importance in the projection(VIP) value≥1 and log2fold change(FC)≥1 or ≤-1, and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analysis was conducted. ResultsA total of 1 267 metabolites were identified in the stems of D. nobile from the two cultivation modes, dominated by flavonoids(292), phenolic acids(284), and alkaloids(189). Through OPLS-DA screening, 473 differential metabolites were obtained. Compared to epiphytic tree-cultivated D. nobile, epiphytic stone-cultivated D. nobile exhibited upregulation of flavonoids, phenolic acids, alkaloids, lignans and coumarins, while quinones and terpenoids were down-regulated. The differential metabolites mainly included flavonoid glycosides and alkaloids, and these differential metabolites significantly contributed to characterizing the two cultivation patterns. KEGG enrichment analysis revealed significant enrichment in pathways of flavone and flavonol biosynthesis, flavonoid biosynthesis, tyrosine metabolism, and phenylalanine metabolism in epiphytic stone-cultivated D. nobile. ConclusionEpiphytic stone cultivation is beneficial for the accumulation of phenolic acids, flavonoids, and alkaloids in D. nobile, indicating that the "only those that grow on stones has superior quality" documented in the materia medica has certain scientific basis, and the findings also provide a reference for quality evaluation and discrimination research between epiphytic stone and tree cultivated D. nobile.
5.Analysis of risk factors and development of a nomogram model for early recurrence following curative resection of resectable pancreatic cancer
Chengyu HU ; Jianyu YANG ; Yannan XU ; Yifan YIN ; Minwei YANG ; Xueliang FU ; Dejun LIU ; Yanmiao HUO ; Wei LIU ; Junfeng ZHANG ; Yongwei SUN ; Rong HUA
Chinese Journal of Pancreatology 2025;25(2):104-111
Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.
6.Development of a triplex quantitative reverse transcription-polymerase chain reac-tion for the detection of porcine epidemic diarrhea virus,transmissible gastroenter-itis virus,andporcine delta coronavirus
Qianlin CHEN ; Shaomei LI ; Yifan ZHANG ; Hao MU ; Mingni LIU ; Liu YANG ; Qingyong GUO ; Lizhi FU
Chinese Journal of Veterinary Science 2025;45(5):905-912
Swine enteric coronaviruses(SeCoV),such as porcine epidemic diarrhea virus(PEDV),transmissible gastroenteritis virus(TGEV),and porcine delta coronavirus(PDCoV),cause severe diarrhea in piglets,resulting in substantial losses in pig farming.In this study we establish a triple fluorescence reverse transcription-quantitative PCR(RT-qPCR)method for the simultaneous de-tection of PEDV,TGEV,and PDCoV.The specific primers and probes for each target virus were designed based on conserved sequences from the PEDV M gene,the TGEV ORF 1b gene,and the PDCoV ORF 1b gene respectively.Following the optimization of parameters and conditions,a triple RT-qPCR method was successfully established to simultaneously detect PEDV,TGEV,and PD-CoV.The developed assay exhibits strong specificity for these three pathogens without any cross-reaction with other common porcine viruses like CSFV,PCV2,PoRVA,PRV,and PRRSV.The de-tection limit of linear templates for pTOPO-PEDV 128,pTOPO-TGEV 116,and pTOPO-PDCoV 125 recombinant plasmids were 16.835,17.610 and 17.020 copies/μL,respectively.The intra group and inter group coefficients of variation were less than 5%,with no significant differences observed(P>0.05).Moreover,the detection consistency rate of the developed RT-qPCR was compared with standard method and showed 100%agreement.Out of 35 small intestine tissue samples,17 tested positive for PEDV,resulting in a positive rate of 48.57%(17/35).The tests for TGEV and PDCoV yielded negative results,and no mixed infections were detected.Based on the above results,the tri-ple RT-qPCR method established is specific,sensitive,stable,and rapid,and can be used for clinical detection and differential diagnosis of PEDV,TGEV,and PDCoV simultaneously,providing a method for the detection and epidemiological investigation of porcine diarrhea coronaviruses.
7.Analysis of risk factors and development of a nomogram model for early recurrence following curative resection of resectable pancreatic cancer
Chengyu HU ; Jianyu YANG ; Yannan XU ; Yifan YIN ; Minwei YANG ; Xueliang FU ; Dejun LIU ; Yanmiao HUO ; Wei LIU ; Junfeng ZHANG ; Yongwei SUN ; Rong HUA
Chinese Journal of Pancreatology 2025;25(2):104-111
Objective:To identify independent risk factors for early recurrence following curative resection of resectable pancreatic cancer and establish a nomogram prediction model.Methods:Clinical data from 405 patients with resectable pancreatic cancer treated at Renji Hospital, Shanghai Jiao Tong University School of Medicine from February 2010 to December 2020 were retrospectively reviewed. Patients were stratified into a training cohort (265 patients form February 2010 to December 2018) and a validation cohort (140 patients from January 2019 to December 2020) based on surgery dates. Optimal cutoff values for clinical variables were determined using X-tile software. Independent risk factors were identified through univariate and multivariate Cox proportional hazards regression analyses. Kaplan-Meier curves for recurrence-free survival (RFS) were generated across subgroups, and a nomogram was developed to predict early recurrence (within 1 year post-surgery). Time-dependent receiver operating characteristic (tROC) curves was drawn and area under the curve (AUC) metrics were utilized to evaluate predictive accuracy, while model reliability was assessed by calibration curves. Individualized risk scores derived from the nomogram were stratified into high- and low-risk groups using X-tile-derived cutoff values. Survival differences between groups were analyzed via log-rank tests. The clinical application value was judged by decision curve analysis (DCA) compared to TNM staging. Results:In the training cohort, 139 patients (52.45%) experienced early recurrence, with a median RFS of 11.1 months [interquartile range ( IQR): 6.0-26.0]. The validation cohort reported 70 early recurrences (50.00%) and a median RFS of 11.8 months ( IQR: 4.9-21.4). Univariate analysis revealed significant associations between early recurrence and tumor diameter, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), carbohydrate antigen 125 (CA125), systemic immune-inflammation index (SⅡ), and prognostic nutritional index (PNI). Multivariate analysis identified tumor diameter ≥3.75 cm ( HR=1.718, 95% CI 1.223-2.412, P=0.002), CA19-9≥218 U/ml ( HR=1.567, 95% CI 1.107-2.220, P=0.011), CA125≥20.98 U/ml ( HR=2.501, 95% CI 1.768-3.539, P<0.001), SⅡ≥388.28 ( HR=1.708, 95% CI 1.096-2.662, P=0.018), and PNI<53.18 ( HR=0.596, 95% CI 0.404-0.879, P=0.009) as independent risk factors for early recurrence. The nomogram achieved AUC values of 0.771 and 0.708 in the training and validation cohorts, respectively. Calibration curves demonstrated strong agreement between predicted and observed survival probabilities. Kaplan-Meier analysis revealed significantly lower 1-year RFS rates in high-risk versus low-risk groups for both cohorts (training: HR=3.65, 95% CI 2.45-5.44, P<0.001; validation: HR=2.37, 95% CI 1.39-4.06, P=0.001). DCA indicated superior net benefit of the nomogram over TNM staging across threshold probabilities of 0.2-0.9. Conclusions:The proposed nomogram effectively integrates clinical and serological biomarkers to preoperatively assess early recurrence risk in resectable pancreatic cancer patients, offering enhanced precision for clinical decision-making.
8.Clinical application of three-dimensional visualization reconstruction technology in robot-assisted laparoscopic partial nephrectomy for renal hilar tumors with R.E.N.A.L. score≥10
Luyao CHEN ; Xiaoqiang LIU ; Yifan TAN ; Weipeng LIU ; Jieping HU ; Jing XIONG ; Kang WANG ; Tao LIU ; Gongxian WANG ; Bin FU
Chinese Journal of Urology 2025;46(5):363-368
Objective:To explore the application value of three-dimensional visualization reconstruction technology in robot-assisted laparoscopic partial nephrectomy(RAPN)for the treatment of highly complex(R.E.N.A.L. score≥10)renal hilar tumors.Methods:The clinical data of 87 patients with highly complex renal hilar tumors with R.E.N.A.L. scores ≥10 who were treated in First Affiliated Hospital of Nanchang University from January 2021 to December 2024 were retrospectively analyzed,of which 36 underwent 3D visualization reconstruction and 51 underwent conventional CT. The 3D visualization reconstruction method was to import the patient’s enhanced CT images in DICOM format into the 3D reconstruction image data processing software to produce a 3D visualization model. There were 22 males and 14 females in the 3D visualization group,with an average age of(54.2 ± 9.5)years,a body mass index of(24.8 ± 4.5)kg/m 2,and a tumor size of(4.3 ± 1.0)cm. Tumors were located on the left side in 16 cases and on the right side in 20 cases. Tumor stages were classified as T 1a in 11 cases,T 1b in 21 cases,and T 2a in 4 cases. The R.E.N.A.L. scores were distributed as follows:10 points in 21 cases,11 points in 12 cases,and 12 points in 3 cases. The estimated glomerular filtration rate(eGFR)before operation was(78.2±9.6)ml/(min·1.73 m 2). There were 35 males and 16 females in the conventional CT group,with an average age of(51.3±8.9)years,a body mass index of(25.4 ± 3.9)kg/m 2,and a tumor size of(4.1 ± 1.2)cm. Tumors were located on the left side in 25 cases and on the right side in 26 cases. Tumor stages were classified as T 1a in 12 cases,T 1b in 33 cases,and T 2a in 6 cases. The R.E.N.A.L. scores were distributed as follows:10 points in 31 cases,11 points in 18 cases,and 12 points in 2 cases . The preoperative eGFR was(80.6 ± 8.8)ml/(min·1.73 m 2). There was no statistical difference in general data and preoperative renal function between the two groups( P > 0.05). Both groups underwent RAPN. The two groups were analyzed and compared in terms of operation time,warm ischemia time,intraoperative blood loss,postoperative hospital stay,postoperative complications,and changes in renal function 3 months after surgery. Results:There were no cases of conversion to radical treatment or open surgery in both the 3D visualization group and the conventional CT group. The 3D visualization group had shorter operation time[(94.6 ± 18.5)min vs.(110.2 ± 17.2)min, P < 0.001],shorter renal artery occlusion time[(23.3 ± 4.0)min vs.(27.2 ± 3.3)min, P < 0.001],less intraoperative blood loss[120(100,250)ml vs. 150(120,300)ml, P = 0.018],and a lower proportion of intraoperative collecting system incision(19/36 vs. 38/51, P = 0.042)than the conventional CT group. There was no significant statistical difference in the time of postoperative drainage tube removal and postoperative hospital stay between the two groups( P > 0.05). One case in the 3D visualization group had postoperative fever,and two cases in the conventional CT group had postoperative obvious macroscopic hematuria. Postoperative pathological diagnosis of the patients was clear cell carcinoma in 78 cases,papillary cell carcinoma in 6 cases,chromophobe cell carcinoma in 2 cases,and oncocytoma in 1 case. No positive resection margin was found in both groups. Three months after surgery,there was no significant statistical difference in eGFR between the two groups[(70.6 ± 8.5)ml/(min·1.73 m 2)vs.(71.4 ± 9.2)ml/(min·1.73 m 2), P = 0.681]. During the median follow-up of 17.8 months,no tumor recurrence or metastasis was observed in either group. Conclusions:RAPN has good safety and feasibility in the treatment of highly complex(R.E.N.A.L. score ≥10)renal hilar tumors. Preoperative three-dimensional visualization reconstruction technology helps to reduce RAPN operation time,renal artery occlusion time and intraoperative blood loss,and has good clinical application value.
9.miR-185-5p alleviates the inflammatory response of acute gouty arthritis by inhibiting of IL-1β.
Nan HOU ; Xianghui MA ; Wei ZHOU ; Min YUAN ; Liming XU ; Huanxia SUN ; Yifan LIU ; Lining LIU ; Yanjun SHI ; Chunxian LI ; Yanfa FU
Chinese Journal of Cellular and Molecular Immunology 2024;40(1):51-57
Objective To investigate the relationship between interleukin-1β (IL-1β) and miR-185-5p in the process of joint injury in acute gouty arthritis (AGA). Methods The serum miR-185-5p levels of 89 AGA patients and 91 healthy volunteers were detected by real-time quantitative PCR. The correlation between miR-185-5p expression level and VAS score or IL-1β expression level was evaluated by Pearson correlation coefficient method. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of miR-185-5p in AGA. THP-1 cells were induced by sodium urate (MSU) to construct an in vitro acute gouty inflammatory cell model. After the expression level of miR-185-5p in THP-1 cells was upregulated or downregulated by transfection of miR-185-5p mimics or inhibitors in vitro, inflammatory cytokines of THP-1 cells, such as IL-1β, IL-8 and tumor necrosis factor α (TNF-α), were detected by ELISA. The luciferase reporter gene assay was used to determine the interaction between miR-185-5p and the 3'-UTR of IL-1β. Results Compared with the healthy control group, the expression level of serum miR-185-5p in AGA patients was significantly reduced. The level of serum miR-185-5p was negatively correlated with VAS score and IL-1β expression level. The area under the curve (AUC) was 0.905, the sensitivity was 80.17% and the specificity was 83.52%. Down-regulation of miR-185-5p significantly promoted the expression of IL-1β, IL-8 and tumor necrosis factor (TNF-α), while overexpression of miR-185-5p showed the opposite results. Luciferase reporter gene assay showed that IL-1β was the target gene of miR-185-5p, and miR-185-5p negatively regulated the expression of IL-1β. Conclusion miR-185-5p alleviates the inflammatory response in AGA by inhibiting IL-1β.
Humans
;
3' Untranslated Regions
;
Arthritis, Gouty/genetics*
;
Interleukin-1beta/genetics*
;
Interleukin-8
;
Luciferases
;
MicroRNAs/genetics*
;
Tumor Necrosis Factor-alpha
10.Application of Artificial Intelligence in the Diagnosis and Treatment of Pancreatic Cancer
Yifan FU ; Guihu WENG ; Zhe CAO ; Taiping ZHANG
Medical Journal of Peking Union Medical College Hospital 2024;15(4):747-750
Pancreatic cancer, a highly malignant digestive system tumor, presents significant challenges in surgical treatment and generally has a poor prognosis. Luckily, the rapid development of medical artificial intelligence has facilitated its application in areas related to pancreatic cancer, including preoperative imaging diagnostics, rapid pathological diagnosis, surgical robotic systems, and the training of pancreatic surgery specialists. In this paper, we review the latest advancements in the application of medical artificial intelligence in pancreatic cancer, aiming to promote the deep integration of artificial intelligence in the field of pancreatic cancer surgery.

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