Objective Objective To analyze the potential spatial factors affecting the genetic differentiation of Oncomelania hupensis robertsoni in Yunnan Province. Methods A total of 13 administrative villages were selected from schistosomiasis-endemic areas of Yunnan Province as O. hupensis snail sampling sites. At least 200 snails were collected in each site, and the spatial variable data of each site were recorded, including longitude, latitude and altitude. Thirty active and Schistosoma japonicum uninfected O. hupensis snails were selected from each sampling site by means of the crawling method and the cercarial shedding method. Genomic DNA was extracted from O. hupensis snails. Following PCR amplification, purification of PCR amplification products and sequencing, the gene sequences of O. hupensis snail samples were spliced and edited using the DNAstar software and the NCBI database to yield the complete mitochondrial sequences of O. hupensis snails at each sampling site, and the mitochondrial genetic distance matrix of O. hupensis robertsoni was calculated at each sampling site. The geographical coordinates of each sampling site were marked using the software ArcGIS 10.2, and the straight-line geographical distance between each sampling site was calculated. The altitude difference, longitude difference and latitude difference between each sampling site were calculated using the Excel software, and the correlation between the mitochondrial genetic distance matrix of O. hupensis robertsoni and each spatial variable matrix was examined by using the Mantel test at 13 sampling sites in Yunnan Province. Results Among the 13 O. hupensis snail sampling sites in Yunnan Province, the largest mitochondrial genetic distance of O. hupensis robertsoni snail populations was seen between Anding Village, Nanjian Yi Autonomous County and Caizhuang Village, Midu County (26.244 2), and the largest geographical distance was seen between Dongyuan Village, Gucheng District and Cangling Village, Chuxiong County (272.64 km). The highest altitude difference was seen between Anding Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1 086.10 m), and the largest longitude difference was found between Qiandian Village, Eryuan County and Cangling Village, Chuxiong County (1.86°), while the largest latitude difference was measured between Leqiu Village, Nanjian Yi Autonomous County and Dongyuan Village, Gucheng District (1.81°). In addition, the mitochondrial genetic distance of O. hupensis robertsoni snail populations was positively correlated with altitude at 13 snail sampling sites in Yunnan Province (r = 0.542 8, P < 0.001), and showed no significant correlations with geographical distance (r = 0.093 4, P > 0.05), longitude (r = −0.199 5, P > 0.05) or latitude (r = 0.205 7, P > 0.05). Conclusion Altitude may be a potential spatial factor affecting the genetic differentiation of O. hupensis robertsoni in Yunnan Province.

Through an analysis of the pathogenesis of cholinergic urticaria and the therapeutic principle of "treating fire constraint by dispersing it"， it is proposed that the disease is located between the sweat pore and interstitial space. The key pathogenesis lies in fire constraint in the interstitial space and stagnation of the sweat pore. The manifestation is rash due to fire-heat constrained in the interstitial space， while the root is the obstruction of qi and fluids in the sweat pore， and the transformation involves constraint fire damaging yin and entering the collaterals. Treatment should consistently follow the principle of "diffusing constraint and dissipating fire"， with staged approaches based on disease progression. In the acute stage， treatment emphasizes activating sweat pore and rapidly dispersing constraint fire through modified Shengjiang Powder （升降散）. In the remission stage， therapy should focus on harmonizing ying-wei （营卫） and clearing residual fire using modified Zhuye Shigao Decoction （竹叶石膏汤） combined with Xiaofeng Powder （消风散）. In the chronic stage， treatment should nourish yin， penetrate collaterals and clear latent fire through modified Qinghao Biejia Decoction （青蒿鳖甲汤）.

Through an analysis of the pathogenesis of cholinergic urticaria and the therapeutic principle of "treating fire constraint by dispersing it"， it is proposed that the disease is located between the sweat pore and interstitial space. The key pathogenesis lies in fire constraint in the interstitial space and stagnation of the sweat pore. The manifestation is rash due to fire-heat constrained in the interstitial space， while the root is the obstruction of qi and fluids in the sweat pore， and the transformation involves constraint fire damaging yin and entering the collaterals. Treatment should consistently follow the principle of "diffusing constraint and dissipating fire"， with staged approaches based on disease progression. In the acute stage， treatment emphasizes activating sweat pore and rapidly dispersing constraint fire through modified Shengjiang Powder （升降散）. In the remission stage， therapy should focus on harmonizing ying-wei （营卫） and clearing residual fire using modified Zhuye Shigao Decoction （竹叶石膏汤） combined with Xiaofeng Powder （消风散）. In the chronic stage， treatment should nourish yin， penetrate collaterals and clear latent fire through modified Qinghao Biejia Decoction （青蒿鳖甲汤）.

A prediction model for the risk of childhood allergic asthma was established through the analysis of public datasets. By using bioinformatics analysis methods, two datasets, GSE40732 and GSE40888, were selected, which included the whole-genome expression profile data of 222 children. Among them, GSE40732 was used as the training dataset to detect differentially expressed genes in peripheral blood mononuclear cells of children with the disease, and the master regulator analysis (MRA) algorithm was used to screen the master regulator genes in the inflammation-related pathway (GO: 0006954). After obtaining the master regulator genes, the expression of these master regulator genes in the GSE40732 and GSE40888 datasets was detected, and a prediction model was constructed through logistic regression, based on which risk scores were assigned to children. By comparing the risk scores of healthy children and children with the disease, the area under the curve (AUC) was used to evaluate the classification performance of the model. The average value of the risk scores of all children with the disease output by the model was calculated as the threshold. According to this threshold, the children with the disease in the two datasets were divided into high-risk and low-risk groups. The CIBERSORT algorithm was applied to analyze the infiltration of immune cells in the high-risk and low-risk groups, and the enrichment analysis of signaling pathways was completed using the msigdbr package in R software. The results showed that compared with healthy children, there were 377 up-regulated genes and 255 down-regulated genes in the peripheral blood mono-nuclear cells of children with the disease. The MRA algorithm analysis showed that there were five genes ( MUC5B, CST4, CCR7, TNF-α, and THBS1) that were the master regulator genes in the regulatory network. Risk score= MUC5B×3.47 +CST4×2.17 +CCR7×0.59 +TNF- α×0.54 +THBS1×1.67. The AUC in the GSE40732 and GSE40888 datasets were 0.874 and 0.682, respectively. Compared with the low-risk group, the resting memory CD4 +T cells and regulatory T cells in the peripheral blood of children with the disease in the high-risk group significantly decreased ( P<0.05), and both the IL-33 and IL-13 pathways were highly enriched. In conclusion, the model constructed in this study has a good predictive efficiency for the risk of allergic asthma and also has a certain effect on risk stratification.

Objective:To observe the effect of high-intensity interval training (HIIT) on diabetic rats with non-alcoholic fatty liver disease (NAFLD), and to explore the role of miR-122 in it.Methods:Forty Wistar rats were randomly divided into a healthy control group, a sedentary group, a high-intensity interval training (HIIT) group and a moderate-intensity continuous training (MICT) group using a random number table. All except the healthy control group had type 2 diabetes with NAFLD induced using a high-fat and high-fructose diet. The healthy control and sedentary groups were kept quiet in their cages, while the HIIT and MICT groups performed treadmill exercise of the corresponding intensity for 8 consecutive weeks. At 48h after the last training, plasma was collected to measure biochemical markers, and the livers were resected for histological observation using hematoxylin and eosin staining. miR-122 expression was measured using real-time fluorescent quantitative polymerase chain reactions, while the protein expressions of fatty acid synthase (FAS), acetyl-CoA carboxylase (ACC), sterol regulatory element binding protein-1c (SREBP1c) and peroxisome proliferator-activated receptor γ (PPARγ) were detected using western blotting.Results:Compared with the healthy control group, the average fasting blood glucose (FBG), triglyceride (TG), total cholesterol (TC), alanine aminotransferase (ALT), aspartate aminotransferase (AST), insulin and insulin resistance index (HOMA-IR) had increased significantly in the sedentary group. Compared with the sedentary group, the average FBG, TG, TC, insulin and HOMA-IR had decreased significantly in both the HIIT and MICT groups, and the average ALT and AST in the HIIT group had also decreased significantly. The average TG, TC, ALT and AST levels in the HIIT group were then significantly lower than in the MICT group. Compared with the sedentary group, the average liver steatosis score had decreased significantly in both the HIIT and MICT groups, with that of the HIIT group significantly lower than in the MICT group, on average. Compared with the healthy control group, the expression of miR-122 had decreased significantly, but that of SREBP1c, PPARγ, FAS and ACC had increased significantly in the sedentary group. And compared with the sedentary group, the expression of miR-122 had increased significantly in both the HIIT and MICT groups, on average, but that of SREBP1c, PPARγ, FAS and ACC had decreased significantly. Average miR-122 levels in the HIIT group were then significantly higher, and those of SREBP1c, PPARγ, FAS and ACC were significantly lower than in the MICT group.Conclusions:Either MICT or HIIT training can relieve NAFLD in rats modeling diabetes, but HIIT has a better therapeutic effect. Its therapeutic mechanism may be related to the upregulation of miR-122 in the liver.

Objective To evaluate the value of biparametric MRI(bpMRI)radiomics for predicting postoperation Gleason score(GS)upgrade of prostate cancer(PCa).Methods Totally 344 PCa patients who underwent radical prostatectomy(RP)were retrospectively enrolled and divided into training set(n=241)and test set(n=103)at a ratio of 7∶3.T2WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)map radiomics signatures were constructed based on preoperative bpMRI,respectively,then logistic regression(LR)algorithm was used to establish bpMRI radiomics model.Univariate and multivariate logistic regression analyses were performed to screen independent risk factors for postoperation GS upgrade of PCa,and a clinical model was constructed.Then a clinical-radiomics combined model was established based on clinical model and bpMRI radiomics model.Receiver operating characteristic curves were drawn,the area under the curves(AUC)were calculated to evaluate the efficacy of each model for predicting postoperation GS upgrade of PCa.Results Elevated preoperative prostate imaging reporting and data system(PI-RADS)score and reduced biopsy Gleason grade group(GG)were both independent risk factors of postoperation GS upgrade of PCa(both P＜0.05).The AUC of bpMRI radiomics model and clinical-radiomics combined model for predicting postoperation GS upgrade of PCa were higher than that of single-sequence radiomics signatures and clinical model(all P＜0.05),while no significant difference was found between the former two(P＞0.05).The clinical-radiomics combined model demonstrated good efficacy for predicting postoperation GS upgrade of PCa with different biopsy GG before operation,with AUC ranging from 0.835 to 0.949 in training set and 0.803 to 0.948 in test set.Conclusion bpMRI radiomics model could effectively predict postoperation GS upgrade of PCa.

Objective To investigate the value of gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)enhanced MRI radiomics and signal intensity in hepatobiliary phase(HBP)in predicting the pathological differentiation degree of hep-atocellular carcinoma(HCC).Methods The clinical and imaging data of 224 patients pathologically confirmed with HCC were col-lected.All patients were randomly divided into test group(68 cases)and training group(156 cases)at a ratio of 7︰3.The ITK-SNAP software was used to delineate region of interest(ROI)on arterial phase(AP),portal venous phase(PVP)and HBP,the radiomics features of the tumor tissues were extracted and the radiomics models were established using the FAE software.Logistic regression analysis was used to determine the clinical independent predictors associated with the pathological differentiation degree of HCC and to construct clinical model and clinical-radiomics model.Receiver operating characteristic(ROC)curve was plotted for each model and the area under the curve(AUC)was calculated to compare the diagnostic efficacy of the models.Results Age,alpha-fetoprotein(AFP),and r-glutamyltransferase(r-GT)were independent risk factors for predicting the degree of pathological differentiation of HCC.The AUC of the clinical-radiomics model in the training group and test group were 0.825 and 0.779,respectively,which were higher than those of the radiomics model(0.812 and 0.771)and the clinical model(0.687 and 0.666).Conclusion Gd-EOB-DTPA enhanced MRI radiomics have certain value in predicting the degree of pathological differentiation of HCC,while the predictive value of the signal intensity on HBP and the signal intensity ratio(SIR)on HBP is limited.

Glioma is the most common primary malignant brain tumor and its microenvironment exhibits immunosuppressive properties. Macrophages and T cells are the main immune cells of glioma, which engage in highly dynamic interactions. Cytokines such as interleukin-2 (IL-12), interleukin-10 (IL-10), interferon-γ (IFN-γ),and transforming growth factor-β (TGF-β) determine the direction and intensity of the anti-tumor immune response through finely regulating macrophage polarization and T cell subset differentiation. Co-stimulatory molecules on the surface of T cells are mostly members of the immunoglobulin superfamily (IgSF); in addition,co-stimulatory molecules including CD80/CD86, T cell inducible co-stimulatory molecule and its ligand (ICOS /ICOS-L),CD40L/CD40, OX40L/OX40 and glucocorticoid-induced tumor necrosis factor receptor related protein and its ligand (GITR /GITR-L) are involved in initiating,enhancing or inhibiting T cell activation,and collaboratively shape the overall tumor immune microenvironment. The in-depth understanding of these factors and molecular pathways can help optimize immunotherapeutic strategies for glioma and provide new therapeutic targets.

Objective To compare the effects of Tripterygium wilfordii polyglycosides,cyclophosphamide,and cisplatin on the establishment of a mouse model of diminished ovarian reserve(DOR).Methods Mice were randomly divided into the following treatment groups:control(Ctrl),Tripterygium wilfordii polyglycosides(TWP),cyclophosphamide(CTX),and cisplatin(DDP).Mice in the TWP group received a 50 mg/kg suspension of Tripterygium wilfordii polyglycosides by gavage for 14 days,mice in the CTX group received a 20 mg/kg cyclophosphamide suspension by intraperitoneal injection for 14 days,and mice in the DDP group received a 1.5 mg/kg cisplatin solution by intraperitoneal injection for 14 days.The body weight,uterine index,and ovarian index were recorded,the estrous cycle was monitored using the vaginal smear method,and the levels of anti-Mullerian hormone(AMH),estradiol(E2),follicle stimulating hormone(FSH),and luteinizing hormone(LH)were detected using ELISA.Hematoxylin and eosin staining was used to detect ovarian follicle development.The rates of oocyte maturation and fertility were analyzed.Results The three treatment groups of mice all showed the following:significantly decreased body weight and ovarian index(P＜0.05);apparent disorder of the estrous cycle;significantly decreased levels of AMH and E2(P＜0.05);decreased and increased rates of developing follicles and atretic follicles,respectively(P＜0.05);and significantly decreased rates of oocyte maturation,pregnancy,and live birth(P＜0.05).Conclusions DOR mouse models were successfully constructed using Tripterygium wilfordii polyglycosides,cyclophosphamide,or cisplatin,as evidenced by decreased body weight and ovarian index,disordered estrous cycle and hormones,and DOR function,resulting in reduced rates of oocyte maturation,pregnancy,and total number of live births.These DOR effects were most appropriate in the cyclophosphamide group.