Postmortem Interval Estimation Using Protein Chip Technology Combined with Multivariate Analysis Methods / 法医学杂志

OBJECTIVES@#To estimate postmortem interval (PMI) by analyzing the protein changes in skeletal muscle tissues with the protein chip technology combined with multivariate analysis methods.@*METHODS@#Rats were sacrificed for cervical dislocation and placed at 16 ℃. Water-soluble proteins in skeletal muscles were extracted at 10 time points (0 d, 1 d, 2 d, 3 d, 4 d, 5 d, 6 d, 7 d, 8 d and 9 d) after death. Protein expression profile data with relative molecular mass of 14 000-230 000 were obtained. Principal component analysis (PCA) and orthogonal partial least squares (OPLS) were used for data analysis. Fisher discriminant model and back propagation (BP) neural network model were constructed to classify and preliminarily estimate the PMI. In addition, the protein expression profiles data of human skeletal muscles at different time points after death were collected, and the relationship between them and PMI was analyzed by heat map and cluster analysis.@*RESULTS@#The protein peak of rat skeletal muscle changed with PMI. The result of PCA combined with OPLS discriminant analysis showed statistical significance in groups with different time points (P<0.05) except 6 d, 7 d and 8 d after death. By Fisher discriminant analysis, the accuracy of internal cross-validation was 71.4% and the accuracy of external validation was 66.7%. The BP neural network model classification and preliminary estimation results showed the accuracy of internal cross-validation was 98.2%, and the accuracy of external validation was 95.8%. There was a significant difference in protein expression between 4 d and 25 h after death by the cluster analysis of the human skeletal muscle samples.@*CONCLUSIONS@#The protein chip technology can quickly, accurately and repeatedly obtain water-soluble protein expression profiles in rats' and human skeletal muscles with the relative molecular mass of 14 000-230 000 at different time points postmortem. The establishment of multiple PMI estimation models based on multivariate analysis can provide a new idea and method for PMI estimation.

lncRNA SNHG14 regulates the malignant biological behaviors of thyroid cancer SW579 cells by targeting miR-433-3p / 中国肿瘤生物治疗杂志

@#[摘 要] 目的：探讨lncRNA SNHG14对甲状腺癌SW579细胞恶性生物学行为的影响及其分子机制。方法：收集2017年10月至2018年12月青海省人民医院收治的20例甲状腺癌患者的癌组织及癌旁组织标本，用qPCR检测甲状腺癌组织和对应癌旁组织中SNHG14与miR-433-3p的表达；根据转染物的不同，将SW579细胞分为si-NC组（转染si-NC）、si-SNHG14组（转染si-SNHG14）、miR-NC组（转染miR-NC）、miR-433-3p mimic组（转染miR-433-3p mimic）、si-SNHG14+anti-miR-NC组（共转染si-SNHG14与anti-miR-NC）和si-SNHG14+anti-miR-433-3p组（共转染si-SNHG14与anti-miR-433-3p）。MTT法、FCM、Transwell实验分别检测转染后SW579细胞的增殖能力、细胞周期、细胞凋亡率、迁移及侵袭能力的改变；利用双荧光素酶报告基因实验检测SNHG14是否可结合miR-433-3p，qPCR法检测SNHG14与miR-433-3p之间的相互调控关系。结果：SNHG14在甲状腺癌组织中的表达高于癌旁组织（P<0.05），而miR-433-3p的表达水平低于癌旁组织（P<0.05）。抑制SNHG14的表达或过表达miR-433-3p可使SW579细胞增殖能力降低（P<0.05）、迁移与侵袭细胞数减少（均P<0.05）、细胞凋亡率升高（P<0.05）、G1期细胞比例升高（P<0.05）且S期细胞比例降低（P<0.05）。双荧光素酶报告基因实验证明SNHG14可结合miR-433-3p，抑制SNHG14的表达可提高SW579细胞中miR-433-3p水平（均P<0.05）。同时抑制miR-433-3p 和SNHG14的表达可部分逆转后者对SW579细胞的增殖、凋亡、迁移和侵袭的作用（均P<0.05）。结论：甲状腺癌组织中lncRNA SNHG14呈高表达、miR-433-3p呈低表达，lncRNA SNHG14可通过靶向结合miR-433-3p促进甲状腺癌SW579细胞的增殖、迁移、侵袭而抑制细胞凋亡。

Correlation between the Polymorphism of Coagulation-Related Genes and Lower Extremity Deep Venous Thrombosis / 法医学杂志

Objective To investigate the correlation between the polymorphism of 4 coagulation-related genes, rs1799963 （coagulation factor V gene Leiden）, rs6025 （prothrombin gene G20210A）, rs1042579 （thrombomodulin protein gene c.1418C>T） and rs1801131 （methylenetetrahydroflate reductase gene） and lower extremity deep venous thrombosis （LEDVT）. Methods The 4 genotypes mentioned above of 150 LEDVT patients and 153 healthy controls were detected by the kompetitive allele specific polymerase chain reaction （KASP）, then related blood biochemical indicators were collected, binary Logistic regression was established to screen the independent risk factors of LEDVT, and the correlation between polymorphism of 4 coagulation-related genes and LEDVT and its indicators under different genetic modes after adjusting confounding factors were analyzed. Results Five variables, D-dimer, fibrinogen degradation product, homocysteine, sex and age might be the risk factors of LEDVT. These variables were put into 4 genetic inheritance models, and adjusted in binary Logistic regression. The results suggested that the mutations of rs1042579 were correlated with LEDVT under dominant inheritance mode. Conclusion The gene polymorphism of rs1799963, rs6025 and rs1801131 has no significant correlation with the formation of LEDVT. The gene polymorphism of rs1042579 plays a role under dominant inheritance mode, and might be an independent risk factor for formation of LEDVT.

Estimating Postmortem Interval by Protein Chip Detection Technology Combined with Multidimensional Statistics / 法医学杂志

Objective To obtain the protein expression profile of rat liver tissue after death by the 2100 bioanalyzer combined with protein chip, and infer the relationship between protein expression profile and postmortem interval. Methods Rats were killed by abdominal anesthesia and placed at 16 ℃. Water-soluble proteins in liver tissues were extracted at 14 time points after death. The expression profile data of proteins with relative molecular weight of 14 000-230 000 were obtained using protein chip, and principal component analysis （PCA）, partial least squares-discriminant analysis （PLS-DA） and Fisher discriminant were used to analyze the data. Results According to the changes of protein expression profile, the postmortem interval was divided into group A （0 d）, group B （1-9 d）, group C （12-30 d） according to the result of PLS-DA. The prediction accuracy of the training set and test set of the model were all 100.0%, and the internal cross-validation of the training set was 100.0% according to Fisher discriminant. The Fisher discriminant model at each time point of group B and C was established to narrow the time window of postmortem interval estimation. The prediction accuracy of the training set and test set were all 100.0%, and the internal cross-validation accuracy of the training set was 100.0% in group B. The prediction accuracy of the training set and test set were respectively 95.2% and 78.6% in group C, and the internal cross-validation of the training set was 88.1%. Conclusion Protein chip detection technology can quickly and easily obtain the expression profile of water-soluble proteins of rat liver tissue with a relative molecular weight of 14 000-230 000 at different time points after death. PLS-DA and Fisher discriminant models are established to classify and predict the postmortem interval, in order to provide new ideas and methods for postmortem interval estimation.

Combined effect of dark and wounding on regeneration potential of Houttuynia cordata Thunb. leaves.

Houttuynia cordata is one of the most potential medicinal and edible wild herb whose resources have decreased sharply due to excessive exploitation. Besides its slow agamic propagation, problems of browning and non-dedifferentiation have prevented the application of micropropagation in H. cordata. Through 4 week pre-culture in darkness and wounding after 1 week pre-culture, the browning rate of leaf explants decreased significantly and resulted in efficient regeneration (20.64 ± 5.94 adventitious buds per explant) on the induction medium. The protocol shall facilitate conservation and commercial cultivation of the endangered species.