Science Letters:Proteomic analysis of differentially expressed proteins in mice with concanavalin A-induced hepatitis

Objective:To find new protein biomarkers for the detection and evaluation of liver injury and to analyze the relationship between such proteins and disease progression in concanavalin A (Con A)-induced hepatitis.Methods:Twenty-five mice were randomly divided into five groups:an untreated group,a control group injected with phosphate buffered saline (PBS),and groups with Con A-induced hepatitis evaluated at 1,3 and 6 h.Two-dimensional gel electrophoresis (2-DE) and mass spectrometry (MS) were used to identif...     

Proteomic analysis of differentially expressed proteins in mice with concanavalin A-induced hepatitis

Objective: To find new protein biomarkers for the detection and evaluation of liver injury and to analyze the relationship between such proteins and disease progression in concanavalin A (Con A)-induced hepatitis. Methods: Twenty-five mice were randomly divided into five groups: an untreated group, a control group injected with phosphate buffered saline (PBS), and groups with Con A-induced hepatitis evaluated at 1, 3 and 6 h. Two-dimensional gel elec-trophoresis (2-DE) and mass spectrometry (MS) were used to identify differences in protein expression among groups. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to verify the results. Results: In mice with Con A-induced hepatitis, expression levels of four proteins were increased: RIKEN, fructose bisphosphatase 1 (fbp1), ketohexokinase (khk), and Chain A of class pi glutathione S-transferase. Changes in fbp1 and khk were confirmed by qRT-PCR. Conclusion: Levels of two proteins, fbp1 and khk, are cleady up-regulated in mice with Con A-induced hepatitis.     

基于微阵列技术的缺氧/复氧诱导下血管内皮细胞转录组分析

目的:应用全转录组芯片研究缺氧/复氧诱导下人脐静脉内皮细胞(HUVEC)的转录组轮廓。创新点:血管内皮细胞(VEC)缺氧/复氧损伤被视定为许多生理和病理过程中导致器官功能障碍的重要驱动因素。然而,其详细病理生理机制和基因表达谱信息尚未阐明。本研究首次应用全转录组芯片技术研究VEC缺氧/复氧诱导下的转录组轮廓。方法:采用缺氧孵育3h后复氧1h的HUVEC为缺氧/复氧组,同时常氧孵育的HUVEC为常氧对照组。应用含58 339条探针的全转录组芯片检测每组三个样本。对差异表达基因进行生信分析和功能验证。结论:本研究发现372个有意义的差异表达基因探针。相关基因涵盖多种途径和功能,例如氧自由基的产生、钙超载、炎症、糖脂代谢、内皮细胞增殖、分化、细胞骨架及通透性调节、细胞裂解、凋亡和血管生成。另外,实验进一步表明,差异表达基因pleckstrin同源样域家族A成员1(PHLDA1)的m RNA和蛋白质表达结果与微阵列结果一致。STRING分析发现,PHLDA1可能与差异表达基因SLC38A3、SLC5A5、Lnc-SLC36A4-1和Lnc-PLEKHJ1-1具有物理性和/或功能性相互作用,这有望揭示VEC在缺氧/复氧环境下长链非编码RNA(lnc RNA)的相关机制。     

A latent profile analysis of college students’ achievement goal orientation

Achievement goal research has grown increasingly complex with the number of proposed goal orientations that motivate students. As the number of proposed goal constructs proliferates, a variety of data analytic challenges have emerged, such as profiling students on different types of goal pursuit as well as evaluating the relationships of multiple goal pursuit with different educational outcomes. The purpose of the current article is to showcase the advantages of using latent profile analysis (LPA) over other traditional techniques (such as multiple regression and cluster analysis) when analyzing multidimensional data like achievement goals. Specifically, we review the advantages of LPA over traditional person- and variable-centered analyses and then provide a critical look at three different conceptualizations of goal orientation (2-, 3-, and 4-factor) using LPA.     

A comparative analysis of cognitive profiles: Monozygotic and dizygotic reading-disabled twins

Previous twin studies have provided evidence for genetic influences on reading disability (RD) or normal reading ability. The existence of subtypes of RD — each with its characteristic cognitive profile — has been suggested. Whether the etiology of the particular subtypes is genetic is uncertain. The present study examined within-pair comparisons of cognitive profiles (with respect to composites of general reading, symbol processing speed and sequential memory) in RD and control twins. Twin profile analysis were applied to these cognitive composites on 120 pairs of RD and control twins. Results showed a greater monozygotic (MZ) than dizygotic (DZ) resemblance in profiles indicating that individual differences in the patterning of cognitive abilities related to reading are genetically influenced.     

Children's understanding of the commutativity and complement principles: A latent profile analysis

This study examined patterns of individual differences in the acquisition of the knowledge of the commutativity and complement principles in 115 five-to six-year-old children and explored the role of concrete materials in helping children understand the prinicples. On the basis of latent profile analysis, four groups of children were identified: The first group succeeded in commutativity tasks with concrete materials but in no other tasks; the second succeeded in commutativity tasks in both concrete and abstract conditions, but not in complement tasks; the third group succeeded in all commutativity tasks and in complement tasks with concrete materials, and the final group succeeded in all the tasks. The four groups of children suggest a developmental trend – (1) Knowledge of the commutativity and of the complement principles seems to develop from thinking in the context of specific quantities to thinking about more abstract symbols; (2) There may be an order of understanding of the principles – from the commutativity to the complement principle; (3) Children may acquire the knowledge of the commutativity principle in the more abstract tasks before they start to acquire the knowledge of the complement principle. This study contributes to the literature by showing that assessing additive reasoning in different ways and identifying profiles with classification analyses may be useful for educators to understand more about the developmental stage where each child is placed. It appears that a more fine-grained assessment of additive reasoning can be achieved by incorporating both concrete materials and relatively abstract symbols in the assessment.     

关联理论与文学语篇解读——《一天的等待》个案研究

以关联理论为指导,从认知语境、互明、交际意图和关联原则四个方面,通过分析海明威的短篇小说《一天的等待》,阐释关联理论在语篇分析(书面和口语交际)中的作用。     

Changes in self-regulated learning profiles during an undergraduate peer-based intervention: A latent profile transition analysis

University students often have insufficient strategies to regulate their own learning independently, suggesting the need for adequate support. This study examined developmental changes in students’ self-regulated learning (SRL) profiles during their participation in Supplemental Instruction, a peer-based intervention, over the course of a semester and predictive variables of these changes. Latent profile transition analysis of a sample of 352 undergraduates revealed three distinct SRL profiles which emerged identically across time points: competent regulators, self-confident regulators, and goal-oriented regulators. Students in the competent regulators profile were most stable over time, while those in the goal-oriented regulators profile were most malleable, but in a positive sense. Results also indicate that students who attributed SI attendance to mastery goals were more likely to transition beneficially between SRL profiles. The observed predictors of transitions between profiles also highlighted the relative importance of motivational variables as opposed to cognitive-metacognitive variables in accounting for SRL development.     

Young children's knowledge of fair sharing as an informal basis for understanding division: A latent profile analysis

This study examined patterns of individual differences in young children's early understanding of division. Two hundred and thirty-seven 5- and 6-year-old children completed division tasks that assessed their understanding of the direct and inverse relations in division in two different situations – partitive and quotitive. Two main results emerged from our latent profile analyses. First, all children who had good performance in the inverse-relation problems also performed well in the direct-relation problems, but the converse was not true. Second, all children who performed well in the inverse-relation problems in quotitive situations also performed well in the inverse-relation problems in partitive situations, but not vice versa. The findings highlight the importance of situations in determining children's success in recognizing the inverse relation in division. Several theoretical implications for the development of children's division concepts and educational implications for assessment and teaching are discussed.     

A cross-cultural study of student self-efficacy profiles and the associated predictors and outcomes using a multigroup latent profile analysis

Based on PISA 2018 data, this study utilized multigroup latent profile analyses to explore the profiles of self-efficacy (SE) and its associations with gender, socioeconomic status, fear of failure and academic achievements among students from China, USA and Finland (N = 22,545). Results indicated (1) Three SE profiles were identified across countries: Low SE, Moderate SE and High SE; (2) Proportions of students categorized into each of the three profiles differed across countries, with USA and Finland having higher prevalence of High SE, whereas China Moderate and Low SE; (3) Girls in USA and Finland had greater likelihood of being classified into higher SE profiles, whereas greater likelihood for Chinese boys; (4) Higher socioeconomic status was associated with greater likelihood of membership into higher SE profiles across countries; (5) Different patterns emerged across countries regarding the relations of SE profiles to fear of failure and academic achievements.     

细胞色素P450CYP81A6基因在水稻中的表达:组织特异性、蛋白质亚细胞定位以及对除草剂的响应(英文)

目的:分析CYP81A6基因在苯达松及甲磺隆处理下的诱导表达模式,解释该基因与两种除草剂代谢相关的可能原因。创新点:从两种除草剂降解途径中产生的小分子物质的结构相似性出发,通过基因诱导表达的特点分析,解释CYP81A6和两种除草剂降解相关的原因。方法:通过实时定量聚合酶链反应(PCR)来分析基因表达的特点;利用CYP81A6启动子与GUS报告基因构建的载体来分析组织特异性表达;通过亚细胞定位来确定CYP81A6发挥功能的场所。结论:CYP81A6基因受苯达松及甲磺隆诱导,在不同的时间点开始上调,说明了甲磺隆的降解中间产物可以诱导这个基因的表达;CYP81A6是组成型表达,在根、茎、叶中均有表达;亚细胞定位结果证明CYP81A6是一个内质网上的蛋白。     

A Comparison of Three-Step Approaches for Auxiliary Variables in Latent Class and Latent Profile Analysis

In this article, 3-step methods to include predictors and distal outcomes in commonly used mixture models are evaluated. Two Monte Carlo simulation studies were conducted to compare the pseudo class (PC), Vermunt’s (2010), and the Lanza, Tan, and Bray (LTB) 3-step approaches with respect to bias of parameter estimates in latent class analysis (LCA) and latent profile analysis (LPA) models with auxiliary variables. For coefficients of predictors of class membership, results indicated that Vermunt’s method yielded more accurate estimates for LCA and LPA compared to the PC method. With distal outcomes of latent classes and latent profiles, the LTB method produced the lowest relative bias of coefficient estimates and Type I error rates close to nominal levels.     

A typology of student reading engagement: Preparing for response to intervention in the school curriculum

This study seeks to develop a typology of students’ reading engagement through secondary analysis of international sampled survey data. It aims at providing research-based evidences informing teachers how to help readers advance in reading performance. It hopes that when students complete junior secondary schooling (Grade 7–9) at age 15, more students can read happily, widely and skillfully. After establishing that Fondness for reading, Aspiration for reading, and Good at reading are three pertinent facets of reading engagement affecting reading literacy performance, the effects of variables pertaining to these facets are examined using Macao-China data drawn from the OECD's Programme for International Student Assessment (PISA) 2009 Reading Literacy Study. The present study adopts a person-centered approach to arrive at a typology of eight latent clusters of students, each of which is identified with specific reading engagement characteristics. Response to reading intervention can then be proposed to help successive cohorts of junior secondary students enhance their reading literacy performance.     

Metabonomic analysis of hepatitis B virus-induced liver failure: identification of potential diagnostic biomarkers by fuzzy support vector machine

Hepatitis B virus (HBV)-induced liver failure is an emergent liver disease leading to high mortality. The severity of liver failure may be reflected by the profile of some metabolites. This study assessed the potential of using metabolites as biomarkers for liver failure by identifying metabolites with good discriminative performance for its phenotype. The serum samples from 24 HBV-induced liver failure patients and 23 healthy volunteers were collected and analyzed by gas chromatography-mass spectrometry (GC-MS) to generate metabolite profiles. The 24 patients were further grouped into two classes according to the severity of liver failure. Twenty-five commensal peaks in all metabolite profiles were extracted, and the relative area values of these peaks were used as features for each sample. Three algorithms, F-test, k-nearest neighbor (KNN) and fuzzy support vector machine (FSVM) combined with exhaustive search (ES), were employed to identify a subset of metabolites (biomarkers) that best predict liver failure. Based on the achieved experimental dataset, 93.62% predictive accuracy by 6 features was selected with FSVM-ES and three key metabolites, glyceric acid, cis-aconitic acid and citric acid, are identified as potential diagnostic biomarkers.     

comparison of three growth modeling techniques in the multilevel analysis of longitudinal academic achievement scores: Latent growth modeling, hierarchical linear modeling, and longitudinal profile analysis via multidimensional scaling

This study introduces three growth modeling techniques: latent growth modeling (LGM), hierarchical linear modeling (HLM), and longitudinal profile analysis via multidimensional scaling (LPAMS). It compares the multilevel growth parameter estimates and potential predictor effects obtained using LGM, HLM, and LPAMS. The purpose of this multilevel growth analysis is to alert applied researchers to selected analytical issues that are required for consideration in decisions to apply one of these three approaches to longitudinal academic achievement studies. The results indicated that there were no significant distinctions on either mean growth parameter estimates or on the effects of potential predictors to growth factors at both the student and school levels. However, the study also produced equivocal findings on the statistical testing of variance and covariance growth parameter estimates. Other practical issues pertaining to the three growth modeling methods are also discussed.     

中国4省市阅读教学模式探究:基于PISA2018测评的潜在剖面分析

教师的课堂教学行为对学生学习有着重要作用。基于课堂教学的三维理论模型,采用中国4省市PISA2018测试数据,使用潜在剖面分析,探索中国4省市阅读教学的典型模式,并就不同模式对学生学习的影响开展研究。结果发现:1)学生感知到的教师教学模式主要有综合发展型、普通支持型和纪律导向型;2)感知到综合发展型教学模式的学生在学科知识与理解、动机、情感与注意力和学习时间维度上均表现最佳,纪律导向型教学模式的学生在各指标上表现较弱;3)不同家庭社会经济地位和不同学校类型的学生对不同教学模式的感知存在显著差异,家庭社会经济地位中等及以下的学生、城镇和农村学校的学生更容易感知到纪律导向型教学模式,更难感知到综合发展型教学模式,男女生对不同教学模式的感知不存在显著差异。在此基础上,提出要为教师采用综合发展型教学模式创造条件、教师要强化元认知教学并关注课堂教学的群体差异与区域差异等建议。     

《红楼梦》“被”字句略论

归纳了《红楼梦》“被”字句的八种结构类型及其语法特点,并从句子成分的角度分析了“被”字句的语义特征,从感情色彩角度分析了其语用功能,总结了“被”字句语义和语法的相互制约与平衡关系。