ObjectiveTo explore the Apolipoprotein-E （ApoE） gene polymorphism in patients with Alzheimer's disease （AD）, vascular dementia (VD) or mild cognitive impairment (MCI). MethodsPeripheral blood was taken from patient with AD, VD or MCI to determine the ApoE genotypes. ResultsThe most of the patients were ε3/ε3 genotype, while the ε2/ε2 and ε4/ε4 could not be detected. ε3/ε4 genotype （P=0.001） and ApoE ε4 allele （P=0.013） was more frequent in AD than in MCI. ApoE ε4 was more frequent in VD than in MCI （P=0.044）. ConclusionApoE ε4 allele is a risk factor in AD, and may be associated with VD and MCI.

OBJECTIVETo investigate the association between cerebral infarction (CI) and single nucleotide polymorphism (SNP) in the exon of membrane-type 1 matrix metalloproteinase (MMP-14) gene in Chinese Han population.

METHODSFive hundred seventy four patients with CI and 463 healthy individuals were recruited. Serum MMP-14 level was measured with enzyme-linked immunosorbent assay (ELISA). rs1042704 and rs2236307 polymorphisms of the MMP-14 gene were genotyped with a TaqMan assay. Multivariate logistic regression was carried out to analyze the risk factors of CI.

RESULTSA significant lower risk of CI was found in individuals with MMP-14 rs2236307 TC and CC genotypes (vs. TT genotype: P<0.05). The frequencies of MMP-14 rs2236307 C allele were significantly different between the CI group (37.46%) and the control group (43.95%) (P=0.003). Serum level of MMP-14 was higher in the CI group (P=0.003) and was also higher in the group with MMP-14 rs2236307 TT genotype compared with those with CT and CC genotypes (P=0.000; P=0.009). Logistic regression analysis indicated that the MMP-14 rs2236307 CT+CC genotypes was a protective factor, and that history of hypertension, smoking status, triglycerides, diastolic blood pressure and systolic blood pressure were the independent risk factors of CI (AOR:2.027, 1.302, 1.296, 1.434, 2.087; P<0.05).

CONCLUSIONThe rs2236307 polymorphism of MMP-14 gene is associated with CI, for which the C allele maybe a protective factor. No association of MMP-14 gene rs1042704 polymorphism with CI has been found.

Adult ; Aged ; Alleles ; Asian Continental Ancestry Group ; genetics ; Blood Pressure ; Case-Control Studies ; Cerebral Infarction ; genetics ; physiopathology ; Female ; Genetic Association Studies ; Genotype ; Humans ; Male ; Matrix Metalloproteinase 14 ; genetics ; Middle Aged ; Polymorphism, Single Nucleotide ; Risk Factors

Objective To compare the external morphological characteristics and movement patterns between Schistosoma japonicum and S. sinensis cercariae. Methods S. japonicum and S. sinensis cercariae were heat-fixed, and well-extended cercariae, of 50 each species, were randomly selected for measurement of body length, body width, tail stem length, and tail fork length. The external morphological characteristics of S. japonicum and S. sinensis cercariae were compared. In addition, S. japonicum-infected Oncomelania snails and S. sinensis-infected Tricula snails were observed under a microscope and the movement patterns of S. japonicum and S. sinensis cercariae were compared. Results The mean body length, body width, tail stem length, and tail fork length were (0.16 ± 0.01), (0.05 ± 0.01), (0.14 ± 0.01) mm and (0.06 ± 0.01) mm for S. japonicum cercariae, and (0.13 ± 0.01), (0.05 ± 0.01), (0.13 ± 0.01) mm and (0.06 ± 0.01) mm for S. sinensis cercariae, respectively, and there were significant differences in terms of cercaria body length (t = 14.583, P < 0.05) and tail stem length (t = 3.861, P < 0.05), while no significant differences were seen in terms of body width (t = 0.896, P > 0.05) or tail fork length (t = −0.454, P > 0.05). Microscopy revealed that the tails of both S. japonicum and S. sinensis cercariae swung from side to side and there was no significant difference in their movement pattern. Conclusion S. sinensis and S. japonicum cercariae share highly similar external external morphological characteristics and movement patterns.

Objective To predict the potential geographic distribution of Oncomelania hupensis in Yunnan Province using random forest (RF) and maximum entropy (MaxEnt) models, so as to provide insights into O. hupensis surveillance and control in Yunnan Province. Methods The O. hupensis snail survey data in Yunnan Province from 2015 to 2016 were collected and converted into O. hupensis snail distribution site data. Data of 22 environmental variables in Yunnan Province were collected, including twelve climate variables (annual potential evapotranspiration, annual mean ground surface temperature, annual precipitation, annual mean air pressure, annual mean relative humidity, annual sunshine duration, annual mean air temperature, annual mean wind speed, ≥ 0 ℃ annual accumulated temperature, ≥ 10 ℃ annual accumulated temperature, aridity and index of moisture), eight geographical variables (normalized difference vegetation index, landform type, land use type, altitude, soil type, soil textureclay content, soil texture-sand content and soil texture-silt content) and two population and economic variables (gross domestic product and population). Variables were screened with Pearson correlation test and variance inflation factor (VIF) test. The RF and MaxEnt models and the ensemble model were created using the biomod2 package of the software R 4.2.1, and the potential distribution of O. hupensis snails after 2016 was predicted in Yunnan Province. The predictive effects of models were evaluated through cross-validation and independent tests, and the area under the receiver operating characteristic curve (AUC), true skill statistics (TSS) and Kappa statistics were used for model evaluation. In addition, the importance of environmental variables was analyzed, the contribution of environmental variables output by the models with AUC values of > 0.950 and TSS values of > 0.850 were selected for normalization processing, and the importance percentage of environmental variables was obtained to analyze the importance of environmental variables. Results Data of 148 O. hupensis snail distribution sites and 15 environmental variables were included in training sets of RF and MaxEnt models, and both RF and MaxEnt models had high predictive performance, with both mean AUC values of > 0.900 and all mean TSS values and Kappa values of > 0.800, and significant differences in the AUC (t = 19.862, P < 0.05), TSS (t = 10.140, P < 0.05) and Kappa values (t = 10.237, P < 0.05) between two models. The AUC, TSS and Kappa values of the ensemble model were 0.996, 0.954 and 0.920, respectively. Independent data verification showed that the AUC, TSS and Kappa values of the RF model and the ensemble model were all 1, which still showed high performance in unknown data modeling, and the MaxEnt model showed poor performance, with TSS and Kappa values of 0 for 24%(24/100) of the modeling results. The modeling results of 79 RF models, 38 MaxEnt models and their ensemble models with AUC values of > 0.950 and TSS values of > 0.850 were included in the evaluation of importance of environmental variables. The importance of annual sunshine duration (SSD) was 32.989%, 37.847% and 46.315% in the RF model, the MaxEnt model and their ensemble model, while the importance of annual mean relative humidity (RHU) was 30.947%, 15.921% and 28.121%, respectively. Important environment variables were concentrated in modeling results of the RF model, dispersed in modeling results of the MaxEnt model, and most concentrated in modeling results of the ensemble model. The potential distribution of O. hupensis snails after 2016 was predicted to be relatively concentrated in Yunnan Province by the RF model and relatively large by the MaxEnt model, and the distribution of O. hupensis snails predicted by the ensemble model was mostly the joint distribution of O. hupensis snails predicted by RF and MaxEnt models. Conclusions Both RF and MaxEnt models are effective to predict the potential distribution of O. hupensis snails in Yunnan Province, which facilitates targeted O. hupensis snail control.