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AIM: To explore the topographic distribution features of choroidal thickness (CT) and retinal nerve fiber layer thickness (RNFLT), and determine the relationship between CT and ocular parameters in school-aged children. METHODS: The healthy school-aged children with low ametropia or emmetropia in Wenzhou were recruited for this cross-sectional study. With high-density optical coherence tomography (HD-OCT) combined with MATLAB software, the CT and RNFLT values in the macular area were measured at different locations and compared. Statistical analyses were performed to evaluate the correlation between CT and ophthalmic parameters, such as spherical equivalent (SE) and the axial length (AL). RESULTS: A total of 279 school-aged children with 8.00±1.35 years of mean age (range, 6-10y) were included. The mean AL was 23.66±0.86 mm. The mean CT in CT-C (264.31±48.93 µm) was thicker than that in CT-N1 (249.54±50.52 µm), and the average CT in the parafoveal region was also thicker than that in CT-N2 (235.65±50.63 µm). The subfoveal CT also varied substantially across refractive errors (P

[Retraction]AIM: To explore the topographic distribution features of choroidal thickness (CT) and retinal nerve fiber layer thickness (RNFLT), and determine the relationship between CT and ocular parameters in school-aged children. METHODS: The healthy school-aged children with low myopia or emmetropia in Wenzhou were recruited for this cross-sectional study. With high-density optical coherence tomography (HD-OCT) combined with MATLAB software, the CT and RNFLT values in the macular area were measured at different locations and compared. Statistical analyses were performed to evaluate the correlation between CT and ophthalmic parameters, such as spherical equivalent (SE) and the axial length (AL). RESULTS: A total of 279 school-aged children with 8.00±1.35 years of mean age (range, 6-10y) were included. The mean AL was 23.66±0.86 mm. The mean CT in CT-C (264.31±48.93 µm) was thicker than that in CT-N1 (249.54±50.52 µm), and the average CT in the parafoveal region was also thicker than that in CT-N2 (235.65±50.63 µm). The subfoveal CT also varied substantially across refractive errors (P

The present study investigated the inhibitory effect of curcumin on human breast cancer MCF-7 cells and investigated the potential underlying molecular mechanisms. MCF-7 cells were cultured with curcumin at different concentrations and time points. The effects of curcumin treatment on breast cancer cell proliferation were studied using a MTT assay. Reverse transcription-quantitative polymerase chain reaction and western blot analysis were used to assess the mRNA and protein expression levels of B-cell lymphoma 2 (Bcl-2) and Bcl-2-associated X (Bax), nuclear factor-κ-light-chain-enhancer of activated B cells (NF-κB) and inhibitor of NF-κB-α (IκBα). The proliferation of MCF-7 cells in the group treated with curcumin was markedly decreased compared with the control, with the greatest inhibitory effect at a concentration of 20 µM. The expression of Bax mRNA was increased and Bcl-2 mRNA expression was decreased compared with the control. Additionally, protein expression of NF-κB and IκB was increased. The data indicate that curcumin is able to inhibit breast cancer cell proliferation, possibly by regulating the NF-κB signaling pathway. [ABSTRACT FROM AUTHOR]

The term "Big Data" has become very popular in recent years, and this concept has also had a significant influence on the study of languages. By utilizing vast archives of digital text and newly developed analysis methods, linguists now have more options to do research. In particular, we can cross-check several sources at the same time, and in greater detail than was previously possible. The digital humanities are a rapidly growing research field all around the world. But even with the help of computers, humans are still central to such studies, and we rely on expert opinion to determine the key elements for data analysis. Perhaps this is the main reason why text mining has only developed relatively slowly, and one of the main difficulties encountered in conducting text mining is the data input. For computing purposes, texts are a form of unstructured data which first needs to be quantified, and since, so far, there has been no Standard Operating Procedure (SOP) for the quantification process, experts play an important role in selecting relevant information (i.e. variables) for data analysis. In this study, our goal is to establish an SOP for text mining, and then to use it to study the historical change in Chinese writing style, from classical Chinese to modern Chinese, which occurred about a century ago. The study material is Volumes 1-7 of New Youth (新青年), by the end of which, modern vernacular Chinese had almost completely replaced classical Chinese. We adapt the idea of unsupervised learning from statistical learning theory to define and identify important variables. In particular, we use the approach of Exploratory Data Analysis (EDA) to evaluate potential variables as candidates for differentiating between language styles. Also, following a previous study of ours, numerous variable and data reduction methods are needed. Thus, we use principle component analysis to reduce the number of variables, and then apply classification methods, such as logistic regression, to judge whether the style of an article is closer to classical or to modern Chinese. Also, to avoid over-parameterization (i.e. using more variables than are necessary), we use cross-validation to select the most feasible model. This cross-validation separates the data into a training set (or in-sample) and a testing set (or out-sample); the training set is used to construct the model and this model is then applied to the testing set to calculate the model's accuracy. Our study shows a gradual change in the writing style of New Youth articles from classical Chinese to modern Chinese. Thus, only 1% of the articles in Volume 1 are classified as modern Chinese compared with 98% of those in Volume 7, and about 60% of the articles in an intermediate volume, number 4, are classified as modern Chinese. Our model has a prediction accuracy for the articles in Volume 4 of about 84%, as determined by cross-checking with expert Chinese linguists. The results of our quantitative numerical analysis are clearly promising, suggesting that this approach should be continued for the study of modern Chinese writing. [ABSTRACT FROM AUTHOR]

Bronchopulmonary dysplasia (BPD) is the most common type of chronic lung disease in infancy, for which no effective therapy is currently available. The aim of the present study was to investigate the effect of treatment with bone marrow mesenchymal stem cells (BMSCs) in combination with recombinant human erythropoietin (rHuEPO) on BPD-induced mouse lung injury, and discuss the underlying mechanism. The BPD model was established by the exposure of neonatal mice to continuous high oxygen exposure for 14 days, following which 1x106 BMSCs and 5,000 U/kg rHuEPO were injected into the mice 1 h prior to and 7 days following exposure to hyperoxia. The animals received four treatments in total (n=10 in each group). After 14 days, the body weights, airway structure, and levels of matrix metalloproteinase-9 (MMP-9) and vascular endothelial growth factor (VEGF) were detected using histological and immunohistochemical analyses. The effect on cell differentiation was observed by examining the presence of platelet endothelial cell adhesion molecule (PECAM) and VEGF using immunofluorescence. Compared with the administration of BMSCs alone, the body weight, airway structure, and the levels of MMP-9 and VEGF were significantly improved in the BMSCs/rHuEPO group. The results of the present study demonstrated that the intravenous injection of BMSCs significantly improved lung damage in the hyperoxia-exposed neonatal mouse model. Furthermore, the injection of BMSCs in combination with intraperitoneal injection of rHuEPO had a more marked effect, compared with BMSCs alone, and the mechanism may be mediated by the promoting effects of BMSCs and EPO. The results of the present study provided information, which may assist in future clinical trials. [ABSTRACT FROM AUTHOR]

Background Pancreatic cancer is one of the most aggressive human malignancies with a extremely low 5-year survival rate. Hence, the search for more effective anti-pancreatic cancer agents is urgent. Methods PaTu8988 pancreatic cancer cells were treated with different concentrations of suberoylanilide hydroxamic acid (SAHA), cell survival, proliferation, migration and vasculogenic mimicry (VM) were analyzed. Associated signaling changes were also analyzed by RT-PCR and Western blots. Results Here, we reported that SAHA, a histone deacetylase inhibitor (HDACi), exerted significant inhibitory efficiency against pancreatic cancer cell survival, proliferation, migration and VM. SAHA dose-dependently inhibited PaTu8988 pancreatic cancer cell growth with the IC-50 of 3.4 ± 0. 7 µM. Meanwhile, SAHA suppressed PaTu8988 cell cycle progression through inducing G2/M arrest, which was associated with cyclin-dependent kinase 1 (CDK-1)/cyclin-B1 degradation and p21/p27 upregulation. Further, SAHA induced both apoptotic and non-apoptotic death of PaTu8988 cells. Significantly, SAHA suppressed PaTu8988 cell in vitro migration and cell-dominant tube formation or VM, which was accompanied by semaphorin- 4D (Sema-4D) and integrin-β5 down-regulation. Our evidences showed that Akt activation might be important for Sema-4D expression in PaTu8988 cells, and SAHA-induced Sema-4D down-regulation might be associated with Akt inhibition. Conclusions This study is among the first to report the VM formation in cultured human pancreatic cancer cells. And we provided strong evidence to suggest that SAHA executes significant anti-VM efficiency in the progressive pancreatic cancer cells. Thus, SAHA could be further investigated as a promising anti-pancreatic cancer agent. [ABSTRACT FROM AUTHOR]

Different functions have been attributed to CD4+CD25+Foxp3+ regulatory T-cells (Tregs) during malaria infection. Herein, we describe the disparity in Treg response and pro- and anti-inflammatory cytokines during infection with Plasmodium berghei ANKA between young (3-week-old) and middle-aged (8-month-old) C57BL/6 mice. Young mice were susceptible to cerebral malaria (CM), while the middle-aged mice were resistant to CM and succumbed to hyperparasit-emia and severe anemia. The levels of pro-inflammatory cytokines, such as TNF-α, in young CM-susceptible mice were markedly higher than in middle-aged CM-resistant mice. An increased absolute number of Tregs 3-5 days post-inoculation, co-occurring with elevated IL-10 levels, was observed in middle-aged CM-resistant mice but not in young CM-susceptible mice. Our findings suggest that Treg proliferation might be associated with the suppression of excessive pro-inflammatory Th1 response during early malaria infection, leading to resistance to CM in the middle-aged mice, possibly in an IL-10-dependent manner. [ABSTRACT FROM AUTHOR]