Molecular phylogenetic studies on clinical bovine piroplasmosis caused by benign Theileria in Shaanxi Province, China

Jing Wang,Jiyu Zhang,Zhen Zhu,Xuzheng Zhou,Bing Li 대한수의학회 2018 Journal of Veterinary Science Vol.19 No.6

A group of benign Theileria species, which are often referred to as T. orientalis/T. buffeli/T. sergenti group, has low pathogenicity in cattle. Herein, we report on Theileria spp. in cattle on a farm from China. Based on phylogenetic analysis of the major piroplasm surface protein gene sequences, we detected 6 genotypes that were categorized as Types 1, 2, 3, 4, and 5 as well as an additional Type 9 genotype. The new epidemiological features of the T. orientalis/T. buffeli/T. sergenti parasites in China indicate a greater diversity in the genetics of these species than had been previously thought.

miRNA-103a-3p Promotes Human Gastric Cancer Cell Proliferation by Targeting and Suppressing ATF7 in vitro

Xiaoyi Hu,Jiyu Miao,Min Zhang,Xiaofei Wang,Zhenzhen Wang,Jia Han,Dongdong Tong,Chen Huang 한국분자세포생물학회 2018 Molecules and cells Vol.41 No.5

Studies have revealed that miR-103a-3p contributes to tumor growth in several human cancers, and high miR-103a-3p expression is associated with poor prognosis in advanced gastric cancer (GC) patients. Moreover, bioinformatics analysis has shown that miR-103a-3p is upregulated in The Cancer Genome Atlas (TCGA) stomach cancer cohort. These results suggest that miR-103a-3p may function as an oncogene in GC. The present study aimed to investigate the role of miR-103a-3p in human GC. miR-103a-3p expression levels were increased in 33 clinical GC specimens compared with adjacent nontumor stomach tissues. Gain- and loss-of-function studies were performed to identify the correlation between miR-103a-3p and tumorigenesis in human GC. Inhibiting miR-103a-3p suppressed GC cell proliferation and blocked the S-G2/M transition in MKN-45/SGC-7901 cells, whereas miR-103a-3p overexpression improved GC cell proliferation and promoted the S-G2/M transition in vitro. Bioin-formatics and dual-luciferase reporter assays confirmed that ATF7 is a direct target of miR-103a-3p. Analysis of the TCGA stomach cancer cohort further revealed that miR-103a-3p expression was inversely correlated with ATF7 expression. Notably, silencing ATF7 showed similar cellular and molecular effects as miR-103a-3p overexpression, namely, increased GC cell proliferation, improved CDK2 expression and decreased P27 expression. ATF7 overexpression eliminated the effects of miR-103a-3p expression. These findings indicate that miR-103a-3p promotes the proliferation of GC cell by targeting and suppressing ATF7 in vitro.

Research on Identification and Classification of Depression in College Students through Feature Analysis

Yachai Sun,Haixia Zhang,Jiyu Men 대한전자공학회 2023 IEIE Transactions on Smart Processing & Computing Vol.12 No.6

The facial expression features of experimental subjects were analyzed to explore the differences in facial expression between patients with psychological depression and those with a healthy psychology. Three psychological depression identification and classification models, the Knearest neighbor algorithm, support vector machine, and logistic regression, were constructed to verify the usability of a classification model through facial expression feature analysis and identify college students with psychological depression. The experimental results showed significant differences in the average values of several facial expressions, including AU4, AU7, AU9, AU12, AU18, and AU27. The P values were less than 0.05, so they were used in subsequent model analysis. The results obtained through identification by the classification model showed that the performance of the K-nearest neighbor algorithm in the mean absolute error (MAE), root mean square error (RMSE), and accuracy were the poorest, followed by the logistic regression and support vector machine. The MAE, RMSE, and accuracy of the K-nearest neighbor algorithm were 7.14, 9.37, and 83.61%, respectively; the values of the logistic regression algorithm were 6.83, 8.79, and 91.97%, respectively; the values of the support vector machine were 6.23, 7.76, and 94.80%, respectively. This study showed that a classification model constructed using facial expression features could be used to identify and classify college students with psychological depression.

Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network

Zhichao Wang,Hong Xia,Jiyu Zhang,Bo Yang,Wenzhe Yin Korean Nuclear Society 2023 Nuclear Engineering and Technology Vol.55 No.6

Rotating machinery is widely applied in important equipment of nuclear power plants (NPPs), such as pumps and valves. The research on intelligent fault diagnosis of rotating machinery is crucial to ensure the safe operation of related equipment in NPPs. However, in practical applications, data-driven fault diagnosis faces the problem of small and imbalanced samples, resulting in low model training efficiency and poor generalization performance. Therefore, a deep convolutional conditional generative adversarial network (DCCGAN) is constructed to mitigate the impact of imbalanced samples on fault diagnosis. First, a conditional generative adversarial model is designed based on convolutional neural networks to effectively augment imbalanced samples. The original sample features can be effectively extracted by the model based on conditional generative adversarial strategy and appropriate number of filters. In addition, high-quality generated samples are ensured through the visualization of model training process and samples features. Then, a deep convolutional neural network (DCNN) is designed to extract features of mixed samples and implement intelligent fault diagnosis. Finally, based on multi-fault experimental data of motor and bearing, the performance of DCCGAN model for data augmentation and intelligent fault diagnosis is verified. The proposed method effectively alleviates the problem of imbalanced samples, and shows its application value in intelligent fault diagnosis of actual NPPs.

miRNA-103a-3p Promotes Human Gastric Cancer Cell Proliferation by Targeting and Suppressing ATF7 in vitro

Hu, Xiaoyi,Miao, Jiyu,Zhang, Min,Wang, Xiaofei,Wang, Zhenzhen,Han, Jia,Tong, Dongdong,Huang, Chen Korean Society for Molecular and Cellular Biology 2018 Molecules and cells Vol.41 No.5

Studies have revealed that miR-103a-3p contributes to tumor growth in several human cancers, and high miR-103a-3p expression is associated with poor prognosis in advanced gastric cancer (GC) patients. Moreover, bioinformatics analysis has shown that miR-103a-3p is upregulated in The Cancer Genome Atlas (TCGA) stomach cancer cohort. These results suggest that miR-103a-3p may function as an oncogene in GC. The present study aimed to investigate the role of miR-103a-3p in human GC. miR-103a-3p expression levels were increased in 33 clinical GC specimens compared with adjacent nontumor stomach tissues. Gain- and loss-of-function studies were performed to identify the correlation between miR-103a-3p and tumorigenesis in human GC. Inhibiting miR-103a-3p suppressed GC cell proliferation and blocked the S-G2/M transition in MKN-45/SGC-7901 cells, whereas miR-103a-3p overexpression improved GC cell proliferation and promoted the S-G2/M transition in vitro. Bioinformatics and dual-luciferase reporter assays confirmed that ATF7 is a direct target of miR-103a-3p. Analysis of the TCGA stomach cancer cohort further revealed that miR-103a-3p expression was inversely correlated with ATF7 expression. Notably, silencing ATF7 showed similar cellular and molecular effects as miR-103a-3p overexpression, namely, increased GC cell proliferation, improved CDK2 expression and decreased P27 expression. ATF7 overexpression eliminated the effects of miR-103a-3p expression. These findings indicate that miR-103a-3p promotes the proliferation of GC cell by targeting and suppressing ATF7 in vitro.

Splanchnic nerve neurolysis via the transdiscal approach under fluoroscopic guidance: a retrospective study

( Zhenhua Cai ),( Xiaolin Zhou ),( Mengli Wang ),( Jiyu Kang ),( Mingshuo Zhang ),( Huacheng Zhou ) 대한통증학회 2022 The Korean Journal of Pain Vol.35 No.2

Background: Neurolytic celiac plexus block (NCPB) is a typical treatment for severe epigastric cancer pain, but the therapeutic effect is often affected by the variation of local anatomical structures induced by the tumor. Greater and lesser splanchnic nerve neurolysis (SNN) had similar effects to the NCPB, and was recently performed with a paravertebral approach under the image guidance, or with the transdiscal approach under the guidance of computed tomography. This study observed the feasibility and safety of SNN via a transdiscal approach under fluoroscopic guidance. Methods: The follow-up records of 34 patients with epigastric cancer pain who underwent the splanchnic nerve block via the T11-12 transdiscal approach under fluoroscopic guidance were investigated retrospectively. The numerical rating scale (NRS), the patient satisfaction scale (PSS) and quality of life (QOL) of the patient, the dose of morphine consumed, and the occurrence and severity of adverse events were recorded preoperatively and 1 day, 1 week, 1 month, and 2 months after surgery. Results: Compared with the preoperative scores, the NRS scores and daily morphine consumption decreased and the QOL and PSS scores increased at each postoperative time point (P < 0.001). No patients experienced serious complications. Conclusions: SNN via the transdiscal approach under flouroscopic guidance was an effective, safe, and easy operation for epigastric cancer pain, with fewer complications.

Bavachin Suppresses Alpha-Hemolysin Expression and Protects Mice from Pneumonia Infection by Staphylococcus aureus

( Ye Tao ),( Dazhong Sun ),( Xinran Ren ),( Yicheng Zhao ),( Hengjian Zhang ),( Tao Jiang ),( Jiyu Guan ),( Yong Tang ),( Wu Song ),( Shuqiang Li ),( Li Wang ) 한국미생물생명공학회 2022 Journal of microbiology and biotechnology Vol.32 No.10

Staphylococcus aureus (S. aureus) infection causes dramatic harm to human health as well as to livestock development. As an important virulence factor, alpha-hemolysin (hla) is critical in the process of S. aureus infection. In this report, we found that bavachin, a natural flavonoid, not only efficiently inhibited the hemolytic activity of hla, but was also capable of inhibiting it on transcriptional and translational levels. Moreover, further data revealed that bavachin had no neutralizing activity on hla, which did not affect the formation of hla heptamers and exhibited no effects on the hla thermal stability. In vitro assays showed that bavachin was able to reduce the S. aureus-induced damage of A549 cells. Thus, bavachin repressed the lethality of pneumonia infection, lung bacterial load and lung tissue inflammation in mice, providing potent protection to mice models in vivo. Our results indicated that bavachin has the potential for development as a candidate hla inhibitor against S. aureus.