Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Under the current situation of "low prevalence and low infection" of schistosomiasis in China, and to provide a basis for achieving the goal of eliminating schistosomiasis by 2030 proposed by the Healthy China Action (2019 - 2030) as scheduled, the Hunan Provincial Corps Hospital of the Chinese People's Armed Police Force established a schistosomiasis monitoring and early warning index system based on the previous studies on schistosomiasis early warning index system and the recent literature analysis, combined with the current potential risk factors affecting the transmission and prevalence of schistosomiasis, and organized two rounds of expert consultation and carried out project promotion meetings. The experts reached a consensus on the comprehensiveness and practicability of the index system, aiming to lay a solid foundation for construction of China's schistosomiasis prevention and control early warning system.

Dysregulated Epiregulin(EREG)can activate epidermal growth factor receptor(EGFR)and promote tumor progression in head and neck squamous cell carcinoma(HNSCC).However,the mechanisms underlying EREG dysregulation remain largely unknown.Here,we showed that dysregulated EREG was highly associated with enhanced PDL1 in HNSCC tissues.Treatment of HNSCC cells with EREG resulted in upregulated PDL1 via the c-myc pathway.Of note,we found that N-glycosylation of EREG was essential for its stability,membrane location,biological function,and upregulation of its downstream target PDL1 in HNSCC.EREG was glycosylated at N47 via STT3B glycosyltransferases,whereas mutations at N47 site abrogated N-glycosylation and destabilized EREG.Consistently,knockdown of STT3B suppressed glycosylated EREG and inhibited PDL1 in HNSCC cells.Moreover,treatment of HNSCC cells with NGI-1,an inhibitor of STT3B,blocked STT3B-mediated glycosylation of EREG,leading to its degradation and suppression of PDL1.Finally,combination of NGI-1 treatment with anti-PDLl therapy synergistically enhanced the efficacy of immunotherapy of HNSCC in vivo.Taken together,STT3B-mediated N-glycosylation is essential for stabilization of EREG,which mediates PDL1 upregulation and immune evasion in HNSCC.

Dysregulated Epiregulin(EREG)can activate epidermal growth factor receptor(EGFR)and promote tumor progression in head and neck squamous cell carcinoma(HNSCC).However,the mechanisms underlying EREG dysregulation remain largely unknown.Here,we showed that dysregulated EREG was highly associated with enhanced PDL1 in HNSCC tissues.Treatment of HNSCC cells with EREG resulted in upregulated PDL1 via the c-myc pathway.Of note,we found that N-glycosylation of EREG was essential for its stability,membrane location,biological function,and upregulation of its downstream target PDL1 in HNSCC.EREG was glycosylated at N47 via STT3B glycosyltransferases,whereas mutations at N47 site abrogated N-glycosylation and destabilized EREG.Consistently,knockdown of STT3B suppressed glycosylated EREG and inhibited PDL1 in HNSCC cells.Moreover,treatment of HNSCC cells with NGI-1,an inhibitor of STT3B,blocked STT3B-mediated glycosylation of EREG,leading to its degradation and suppression of PDL1.Finally,combination of NGI-1 treatment with anti-PDLl therapy synergistically enhanced the efficacy of immunotherapy of HNSCC in vivo.Taken together,STT3B-mediated N-glycosylation is essential for stabilization of EREG,which mediates PDL1 upregulation and immune evasion in HNSCC.

Objective To investigate ecological isolation between Oncomelania hupensis snail populations in hilly regions and marshland and lake regions in Yuanjiang valley, Changde City, Hunan Province, and to unravel its underlying mechanisms. Methods Taoyuan County, Shimen County, Linli County and Lixian County in Changde City were selected as snail sampling sites in hilly regions, and Lixian County, Jinshi City, West Lake Administration District, Hanshou County and Dingcheng District were selected as snail sampling sites in marshland and lake areas. Cytochrome C oxidase 1 (cox 1) gene was amplified in snail samples and sequenced. The genetic sequences of O. hupensis snails were aligned using the software MEGA 11, and the haplotypes of O. hupensis snails were determined using the software DNASP 5.10.01. The phylogenetic tree was generated using Bayesian inference with the software MrBayes 3.2, and analysis of molecular variance (AMOVA) was performed to analyze the source of genetic divergence and estimate the genetic divergence index (F_ST) among snail populations with the software Arlequin 3.5.2.2. The genetic barrier among 11 O. hupensis snail populations was estimated using the Monmonier algorithm of adegenet toolkit in R package. The settings with “land in winter and water in summer” in the Yuanjian River section were divided into two categories according to the upstream and downstream, and the areas with “land in winter and water in summer” in the upstream and downstream were transformed into raster data, and then loaded into the software Fragstats 4 for analysis of landscape indicators. The trends in changes of digital elevation were extracted from the Yuanjiang River section based on the digital elevation model, and made three-dimensional visualization using the R package. Results The mitochondrial cox 1 gene were amplified in 165 O. hupensis snais from 11 sampling sites and sequenced, and a total of 152 valid gene sequences were obtained, with 46 haplotypes or 9 populations determined. No haplotype was shared in snails between Taoyuan County and Dingcheng District and Hanshou County along the downstream of the Yuanjiang River. The total area of settings with “land in winter and water in summer” was 617.66 hm² in the upsteram of the Yuanjiang River, which consisted of 473 patches, with each patch measuring 1.31 hm², the largest area index of 0.735 2, the landscape division index of 0.999 9, and the landscape shape index of 45.293 7. The total area of settings with “land in winter and water in summer” was 9 956.92 hm² in the downstream of the Yuanjiang River, which consisted of 771 patches, with each patch measuring 12.91 hm², the largest area index of 97.839 9, the landscape division index of 0.042 7, and the landscape shape index of 7.249 6. The area of settings with “land in winter and water in summer” was much larger in the downstream than that in the upstream of the Yuanjiang River, and the stronger landscape connectivity and non-remarkable alteration of riverbed elevation provided suitable habitats for snail breeding. Conclusion The hydrological and environmental characteristics of the upstream of the Yuanjiang River restrain the breeding and spread of O. hupensis, resulting in ecological isolation between Oncomelania hupensis in Taoyuan County and those in the downstream of Yuanjiang River.

Objective:To analyze the risk of missed diagnosis in patients with PI-RADS score>3 and negative prostate initial biopsy and to explore its risk factors.Methods:The clinical data of 268 patients with negative prostate biopsy in Northern Jiangsu People's Hospital from May 2013 to December 2018 were retrospectively analyzed. The patients were divided into observation group (PI-RADS score>3) and control group (PI-RADS score≤ 3) according to different PI-RADS scores. There were insignificant differences in age [(67.4(60.0, 74.0)years and 65.6(66.5, 72.0)years], prostate volume of initial biopsy [62.4(40.0, 72.0)ml and 60.8(38.0, 77.0)ml], biopsy cores [ 20.6(18.0, 22.0)cores and 20.4(18.0, 22.0)cores] between the observation group (n=124) and the control group(n=144)(all P>0.05). But there were significant differences in PSA [17.5(6.5, 23.0)ng/ml and 11.5(6.3, 12.0)ng/ml], PSAD[0.316(0.128, 0.363)ng/ml 2 and 0.211(0.106, 0.256)ng/ml 2], prostate inflammation of the initial biopsy [70 (56.5%) and 32 (22.2%)] between the observation group and the control group(all P<0.05). According to the follow-up results after the initial biopsy, the two groups of repeated biopsy were compared.Furthermore, Logistic regression was used to conduct univariate and multivariate analysis to explore the risk factors of patients with PI-RADS>3 for positive repeated biopsy. At the same time, the receiver operating characteristic curve (ROC curve) was used to analyze the accuracy of the risk factors. Results:There were significant differences in repeated biopsy rate [ 27.4%(34/124)and 14.6%(21/144)], CsPCa detection rate[ 41.4%(14/34) and 4.8%(1/21)]between the observation group and the control group(all P<0.05). The positive rate of repeated biopsy in the observation group (41.1%) was higher than that in the control group (23.8%), but there was no statistical difference ( P=0.248). The risk of positive repeated biopsies in the observation group was 2.24 times than that in the control group. Univariate analysis found repeated biopsy PSA ( P =0.02, OR=1.438, 95% CI 1.161-1.896), PSA ratio (repeated biopsy PSA/initial biopsy PSA) ( P=0.011, OR=10.087, 95% CI 1.714-59.36) were risk factors for positive of repeated biopsy in patients with PI-RADS score >3. Multivariate analysis also found that repeated biopsy PSA ( P=0.017, OR=1.15, 95% CI 1.076-2.123), PSA ratio ( P=0.032, OR=10.2, 95% CI 0.883-116.168) were risk factors for positive repeated biopsy. ROC curve analysis, the accuracy of repeated biopsy PSA (AUC=0.971, P<0.001, 95% CI 0.926-1.000), PSA ratio (AUC=0.839, P=0.001, 95% CI0.707-0.971) to predict positive of repeated biopsy were high. The cut-off values were 21.3 ng/ml and 1.4, respectively. The accuracy was higher when combines repeated biopsy PSA with PSA ratio (AUC=0.993, P<0.001, 95% CI 0.974-1.000). Conclusions:Patients with negative PI-RADS score > 3 have a higher risk of missed diagnosis of CsPCa than those with PI-RADS score≤3. When PSA>21.3 ng/ml and PSA ratio>1.4 during follow-up, the possibility of missed diagnosis in the initial biopsy is high.

Objective:To investigate the effect of adenosine deaminase acting on RNA 1 (ADAR1) on 5-serotonin-2c receptor in alleviating aggression in socially isolated mice.Methods:Sixty healthy male BALB / c mice aged 21 days were randomly divided into six groups: social isolation group, social control group, ADAR1 inducer social isolation group, ADAR1 inhibitor social isolation group, ADAR1 inducer social control group and ADAR1 inhibitor control group.The mice fed in single cage for 4 weeks were used as social isolation model while the mice fed in group were used as control group.ADAR1 inducer (5.0×10 4 U/kg) and inhibitor (10 mg/kg) were given intraperitoneally to mice in the ADAR1 inducer social isolation group and the ADAR1 inhibitor social isolation group respectively.The aggressive behavior of mice was evaluated by resident-intruder test.The expression of ADAR1 and 5-serotonin-2c receptors in the brain of mice was detected by immunohistochemistry and Western blot. Results:The attack latency of social isolation group was significantly lower than that of social control group ((43.15±6.99) s, (542.40±30.50) s; t=15.906, P<0.01), and the latency of attack ((256.70±29.49) s) in the ADAR1 inducer social isolation group was significantly higher than that in the social isolation group ( t=7.046, P<0.01). The latency of attack ((15.25±2.18)s) in the ADAR1 inhibitor social isolation group was significantly lower than that in the social isolation group ( t=3.809, P<0.01). The optical density of ADAR1 immunoreactive cells in the amygdala of the social isolation group mice was significantly lower than that in the corresponding brain area of the social control group (BLA: (0.038±0.002), (0.074±0.004); LaDL: (0.033±0.002), (0.060±0.002); LaVM: (0.045±0.003), (0.073±0.004); Lavl area: (0.044±0.003), (0.070±0.003); t=8.428, 9.037, 6.462, 5.698, all P<0.01). The optical density of ADAR1 immunoreactive positive cells in the amygdala (BLA: (0.060±0.003), LaDL: (0.042±0.002), LaVM: (0.056±0.004), Lavl: (0.054±0.003) in the ADAR1 inducer social isolation group was significantly higher than those in the corresponding brain area of the social isolation group mice ( t=6.055, 2.876, 2.312, 2.492; all P<0.05). The expression of ADAR1 protein and 5-serotonin-2c receptor protein in amygdala of social isolation group were significantly lower than those of social isolation group ( t=11.37, 12.65; P<0.01). The expression of ADAR1 protein and 5-serotonin-2c receptor protein in the amygdala of the ADAR1 inducer social isolation group were significantly higher than those of the social isolation group ( t=3.02, 4.401; P<0.05). Conclusion:ADAR1 inducer alleviates the aggressive behavior of social isolated BALB / c mice by enhancing the protein expression of 5-serotonin-2c receptor in the amygdala of social isolated BALB/c mice.

Objective: To evaluate the effect of multimodal analgesia using periprostatic nerve block anesthesia (PNB) combined with flurbiprofen in patients undergoing transperineal template-guided prostate biopsy (TTPB). Methods: Totally 166 patients (aged (68.2±9.1) years, range: 47 to 81 years) who received TTPB from October 2017 to June 2018 at Department of Urology, Northern Jiangsu People′s Hospital Affiliated to Yangzhou University were enrolled prospectively. All the patients were randomly divided into 2 groups. The observation group (n=79) was given flurbiprofen axetil 1 mg/kg intravenously for half an hour before operation and lidocaine was used for PNB before the biopsy. The control group (n=87) was given normal saline combined with PNB. A visual analog scale (VAS) and visual numeric scale (VNS) were used to assess the patients′ pain and quantify their satisfaction at two time points: VAS-1 and VNS-1: during biopsy procedure, VAS-2 and VNS-2: 30 min after the procedure. The date were compared by t test, χ² test, Fisher exact test and two-way repeated measures anova analysis between the 2 groups. Results: The age, total prostate volume, serum prostate-specific antigen and the number of cores were comparable among the 2 groups (P>0.05). The VAS-1 scores of the control group and the observation group were 2.8±1.7, 1.9±1.2, respectively, and the VNS-1 were 3.1±0.7, 3.4±0.3, respectively. The VAS-1 were significantly lower in observation group than in control group (F=3.904, P=0.000). Conversely, the VNS-1 were higher in observation group (F=3.526, P=0.000). At 30-minute postoperative, the VAS-2 and VNS-2 were 0.7±0.4 and 3.7±0.2 in the control group, respectively. The VAS-2 and VNS-2 were 0.6±0.5 and 3.8±0.1 in the observation group, respectively. There were no significant differences in the pain scores or the satisfaction scores between the 2 groups (F=1.429, 2.825; P=0.136, 0.083). The incidence of overall complications was 26.4% (23/87) in the control group and 25.3% (20/79) in the observation group, with no statistical difference between the 2 groups (χ²=0.027, P=0.869). And the complications had no statistically significant difference among the 2 groups including hematuria, urinary retention, infection, hematospermia, vascular and neurological reactions, nausea, vomiting, dizziness, headache, and respiratory depression (P>0.05). Conclusion The multimodal analgesia induced by PNB and flurbiprofen could effectively relieve the pain for patients who received TTPB.

Objective To explore the effects of graphene oxide (GO)-polyethylene glycol (PEG)-folic acid (FA)-pyrenemethylamine hydrochloride (PyNH2)-mediated RNA interference (RNAi) of hypoxia-inducible factor-1α (HIF-1α) on the biological behaviors of human pancreatic cancer Patu8988 cells.Methods GO-PEG-FA-PyNH2 and RNAi targeting HIF-1α gene (GO-PEG-FA-PyNH2-HIF-1α-RNAi)was constructed.The expressions of HIF-1α and glucose transporter 1 (Glut-l) in Patu8988 cells were determined after knockdown of HIF-1α by RNAi.The invasive ability,the proliferation and the cell cycle of Patu8988 cells were investigated.The effect of HIF-1α knockdown on the uptake of 18F-fluorodeoxyglucose (FDG) in Patu8988 cells was also detected.Comparison of data was conducted by one-way analysis of variance and least significant difference t test.Results The GO-PEG-FA-PyNH2 was successfully constructed,and no cytotoxicity was found.Under the hypoxia or normoxia state,the mRNA and protein levels of HIF-1α and mRNA level of Glut-1 in cells transfected with GO-PEG-FA-PyNH2-HIF-1α-RNAi (study group) were lower than those in cells transfected with GO-PEG-FA-PyNH2 (negative group) and cells transfected with Opti-minimal essential medium (Opti-MEM,control group;F=30.25-32.58,t=3.66-5.81,all P＜0.05);the numbers of migrated cells in the study group were much lower than those in the negative group and the control group (F=38.63 and 41.35,t=20.51-35.25,all P＜0.01);the cell proliferation in the study group was significantly lower than that in the negative group and the control group (F=35.19 and 38.11,t =15.11-22.19,all P＜0.05).The proportions of G0/G1 cells in the study group were higher than those in the negative group and the control group (F=34.60 and 34.83,t=11.55-34.56,all P＜0.05);the 18 F-FDG uptake in the study group was lower than that in the negative group and control group (F=29.85 and 31.69,t =3.35-4.35,all P＜0.05).Conclusion GO-PEG-FA-PyNH2-mediated HIF-1α RNAi inhibits the expression of HIF-1α in pancreatic cancer cells,leading to changes in related biological behaviors.

Objective To examine the distribution,volume and glucose-uptake activity of brown adipose tissue (BAT) in adults and investigate their correlations with metabolic indicators.Methods 18F-flurodeoxyglucose (FDG) PET/CT was used to analyze the distribution,volume and glucose-uptake activity of BAT.The clinical and metabolic differences between BAT positive group (n =121) and BAT negative group (n=257) were compared.The influences of metabolic indicators (fast blood glucose (FBG),triglyceride (TG),total cholesterol (TC),high density lipoprotein cholesterol (HDL-C),low density lipoprotein cholesterol (LDL-C),uric acid (UA)) on the distribution,volume and activity of BAT were investigated.Logistic regression analysis,two-sample t test,x2 test and multiple linear regression were used to analyze the data.Results The distribution,volume and glucose-uptake activity of BAT were found to be significantly higher in subjects being tested in colder seasons than those who were tested in warmer seasons:2.91％ (87/2 991) vs 1.68％(34/2018),(433±402) vs (329±298) ml,(212±183) vs (169±145) g (x2=7.66,t values:3.36 and 2.98,all P＜0.05).The female proportion was significantly higher in BAT positive group than that in BAT negative group:68.60％ (83/121) vs 31.91％ (82/257) (x2 =16.10,P＜0.01).The average levels of age,body mass index (BMI),FBG,TG,TC,LDL-C and UA in BAT positive group were significantly low-er than those in BAT negative group:(41.30±10.90) vs (48.70±9.60) years,(21.30±2.40) vs (24.50± 3.10) kg/m2,(4.56±0.74) vs (5.34±1.33) mmol/L,(0.94±0.36) vs (2.06±1.64) mmol/L,(4.42± 0.79) vs (4.88±0.87) mmol/L,(1.99±0.58) vs (3.10±0.77) mmol/L,(285.11±70.00) vs (347.70± 101.10) μmol/L (t values:from-6.25 to-2.94,all P＜0.01).Logistic regression analysis revealed that season,gender,age,BMI,FBG,TG and LDL-C levels were all independent influencing factors of BAT distribution in adults (odds ratios:5.36,2.06,0.95,0.79,0.49,0.23,0.02;P＜0.01 or P＜0.05).Among BAT positive adults,gender and FBG levels were found to be strongly affected by the volume and glucose-uptake activity of BAT (β values:0.28,-0.21,both P＜0.05).Conclusions The distribution,volume and glucose-uptake activity of BAT in adults are associated with multiple metabolic indicators including BMI,levels of glucose,lipid and UA.The distribution of BAT is affected by gender,age,season,BMI,blood glucose,and blood lipids.