[Machine learning algorithms for identifying autism spectrum disorder through eye-tracking in different intention videos]. / ä¸åŒæ„å›¾åœºæ™¯çœ¼åŠ¨æ³¨è§†æ¨¡å¼æœºå™¨å­¦ä¹ ç®—æ³•è¯†åˆ«å­¤ç‹¬ç—‡è°±ç³»éšœç¢çš„ç ”ç©¶.

OBJECTIVES: To investigate the differences in visual perception between children with autism spectrum disorder (ASD) and typically developing (TD) children when watching different intention videos, and to explore the feasibility of machine learning algorithms in objectively distinguishing between ASD children and TD children. METHODS: A total of 58 children with ASD and 50 TD children were enrolled and were asked to watch the videos containing joint intention and non-joint intention, and the gaze duration and frequency in different areas of interest were used as original indicators to construct classifier-based models. The models were evaluated in terms of the indicators such as accuracy, sensitivity, and specificity. RESULTS: When using eight common classifiers, including support vector machine, linear discriminant analysis, decision tree, random forest, and K-nearest neighbors (with K values of 1, 3, 5, and 7), based on the original feature indicators, the highest classification accuracy achieved was 81.90%. A feature reconstruction approach with a decision tree classifier was used to further improve the accuracy of classification, and then the model showed the accuracy of 91.43%, the specificity of 89.80%, and the sensitivity of 92.86%, with an area under the receiver operating characteristic curve of 0.909 (P<0.001). CONCLUSIONS: The machine learning model based on eye-tracking data can accurately distinguish ASD children from TD children, which provides a scientific basis for developing rapid and objective ASD screening tools.

Nicotinamide induces liver regeneration and improves liver function by activating SIRT1.

Nicotinamide (Nam) has recently been characterized as an agent for tissue regeneration due to the observed pro­proliferation effects. However, the effect of Nam on liver regeneration remains undetermined. In the present study, the potency of Nam as a regimen to promote liver regeneration and restore liver function was evaluated following partial hepatectomy (PH) on C57BL/6 mice. Ki­67 immunohistochemical and cell cycle analyses demonstrated that exogenous Nam supplementation promoted the proliferation of hepatocytes and accelerated the recovery of liver tissue. The addition of Nam protected liver function following PH, as evidenced by hematoxylin and eosin staining of liver tissue morphology and measurement of serum liver injury markers. Notably, immunoblotting results revealed that the expression and activity of NAD­dependent protein deacetylase sirtuin­1 (SIRT1) were significantly upregulated following treatment with Nam, suggesting that Nam may promote liver regeneration through activation of SIRT1. The present study demonstrated that Nam regulated the process of liver regeneration and improved liver function by activating SIRT1, suggesting that Nam has the potency to be used for promoting liver regeneration following surgical resection.

Identification of The Aberrantly Expressed LncRNAs in Hepatocellular Carcinoma: A Bioinformatics Analysis Based on RNA-sequencing.

Hepatocellular carcinoma (HCC) is one of the most prevalent subtypes of liver cancer worldwide. LncRNAs have been demonstrated to be associated with the progression of HCC, but a systematic identification and characterization of their clinical roles and molecular mechanisms in HCC has not been conducted. In this study, the aberrantly expressed lncRNAs in HCC tissues were analyzed based on TCGA RNA-seq data. 1162 lncRNAs were found to be aberrantly expressed in HCC tissues, including 232 down-regulated lncRNAs and 930 up-regulated lncRNAs. The top 5 lncRNAs with the highest diagnostic accuracy were further analyzed to evaluate their clinical value and potential mechanism in HCC. Kaplan-Meier curves showed that higher expressions of DDX11-AS1 and AC092171.4 were in correlation with poorer survival in HCC patients. Significant difference was also observed when comparing the expression levels of DDX11-AS1 and SFTA1P in different clinical parameters (p < 0.05). GO analysis showed that genes regulated by the 5 lncRNAs were enriched in certain pathways, such as PI3K pathway. Moreover, GSEA analysis on the expression of DDX11-AS1 showed that DDX11-AS1 affected the gene expressions involved in HCC proliferation, differentiation and cell cycle, indicating an essential role of DDX11-AS1 in hepatocarcinogenesis.

Exosomal MicroRNA-10a Is Associated with Liver Regeneration in Rats through Downregulation of EphA4.

BACKGROUND: MicroRNAs (miRNAs) have been reported to play vital roles in liver regeneration. Previous studies mainly focused on the functions of intracellular miRNAs, while the functions of circulating exosomal miRNAs in liver regeneration remain largely unknown. The aim of this study was to identify the key exosomal miRNA that played vital roles in liver regeneration. METHODS: The Sprague-Dawley male rats were assigned to 70% partially hepatectomized group (n = 6) and sham surgery group (n = 6). The peripheral blood of both groups was collected 24 h after surgery. The exosomal miRNAs were extracted, and microarray was used to find out the key miRNA implicated in liver regeneration. Adenovirus was used to overexpress the key miRNA in rats, and proliferating cell nuclear antigen (PCNA) staining was applied to study the effect of key miRNA overexpression on liver regeneration. Western blotting was used to validate the predicted target of the key miRNA. RESULTS: Exosomal miR-10a was upregulated more than nine times in hepatectomized rats. The level of miR-10a was increased in the early phase of liver regeneration, reached the top at 72 h postsurgery, and decreased to perioperative level 168 h after surgery. Moreover, enforced expression of miR-10a by adenovirus facilitated the process of liver regeneration as evidenced by immunohistochemical staining of PCNA. Erythropoietin-producing hepatocellular receptor A4 (EphA4) has been predicted to be a target of miR-10a. The protein level of EphA4 was decreased in the early phase of liver regeneration, reached the bottom at 72 h postsurgery, and rose to perioperative level 168 h after surgery, which was negatively correlated with miR-10a, confirming that EphA4 served as a downstream target of miR-10a. Moreover, inhibition of EphA4 by rhynchophylline could promote the proliferation of hepatocytes by regulating the cell cycle. CONCLUSION: Exosomal miR-10a might accelerate liver regeneration through downregulation of EphA4.