Sertad1 Induces Neurological Injury after Ischemic Stroke via the CDK4/p-Rb Pathway

Jianxiong Li,Bin Li,Yujie Bu,Hailin Zhang,Jia Guo,Jianping Hu,Yanfang Zhang 한국분자세포생물학회 2022 Molecules and cells Vol.45 No.4

SERTA domain-containing protein 1 (Sertad1) is upregulated in the models of DNA damage and Alzheimer’s disease, contributing to neuronal death. However, the role and mechanism of Sertad1 in ischemic/hypoxic neurological injury remain unclear. In the present study, our results showed that the expression of Sertad1 was upregulated in a mouse middle cerebral artery occlusion and reperfusion model and in HT22 cells after oxygen-glucose deprivation/reoxygenation (OGD/R). Sertad1 knockdown significantly ameliorated ischemia-induced brain infarct volume, neurological deficits and neuronal apoptosis. In addition, it significantly ameliorated the OGD/R-induced inhibition of cell viability and apoptotic cell death in HT22 cells. Sertad1 knockdown significantly inhibited the ischemic/hypoxic-induced expression of p-Rb, B-Myb, and Bim in vivo and in vitro. However, Sertad1 overexpression significantly exacerbated the OGD/R-induced inhibition of cell viability and apoptotic cell death and p-Rb, B-Myb, and Bim expression in HT22 cells. In further studies, we demonstrated that Sertad1 directly binds to CDK4 and the CDK4 inhibitor ON123300 restores the effects of Sertad1 overexpression on OGD/R-induced apoptotic cell death and p-Rb, B-Myb, and Bim expression in HT22 cells. These results suggested that Sertad1 contributed to ischemic/hypoxic neurological injury by activating the CDK4/p-Rb pathway.

Prevalence, Associated Risk Factors, and Phylogenetic Analysis of Toxocara vitulorum Infection in Yaks on the Qinghai Tibetan Plateau, China

Kun Li,Yanfang Lan,Houqiang Luo,Hui Zhang,Dongyu Liu,Lihong Zhang,Rui Gui,Lei Wang,Muhammad Shahzad,Suolang Sizhu,Jiakui Li,Yangzom Chamba 대한기생충학열대의학회 2016 The Korean Journal of Parasitology Vol.54 No.5

Feasibility, accuracy and acceptability of self-sampled human papillomavirus testing using careHPV in Cambodia: a cross-sectional study

Zhi-yao You,Jing Li,Miao-fang Wu,Hui Li,Yanfang Ye,Li-juan Wang,Zhongqiu Lin 대한부인종양학회 2024 Journal of Gynecologic Oncology Vol.35 No.1

Objective: Self-sampled human papillomavirus (HPV) testing is a potential option forcer vical cancer screening, but research is scarce in Cambodia. We evaluated the feasibility,accuracy, and acceptability of self-sampled HPV testing using careHPV. Methods: A cross-sectional study including women aged 20–49 years attending 2 nationalhospitals in the capital city was conducted. Women under went both self-sampling andclinician-sampling of specimens, and were then asked to complete an acceptabilityquestionnaire. The paired samples were analyzed for high-risk HPV by careHPV andgenotyped by polymerase chain reaction (PCR). Results: A total of 375 women were eligible for inclusion. Based on PCR, 78.9% were negativefor HPV in both self and clinician-samples, 9.9% had a complete HPV type match, and 6.1%had all HPV types in clinician-samples also detected in self-samples. In 5.1%, one or more HPVtypes identified in the clinician-samples were missed in self-samples. When using careHPV,the overall agreement between the 2 sampling methods was 95.7% (95% confidence inter val[CI]=95.8–95.6) with good concordance (κ=0.66, 95% CI=0.56–0.76). Nearly 90% of the womenpreferred clinician-sampling over self-sampling, citing greater comfort, ease, and speed. Conclusion: Self-sampled HPV testing using careHPV could be an option for cer vical cancerscreening in Cambodia; however, it requires periodic quality control of handling procedures. In addition, women’s health education regarding the accuracy of self-sampled HPV testingand the importance of follow-up in cases of positive results is needed.

A phase I dose-finding trial of hyperthermic intraperitoneal docetaxel combined with cisplatin in patients with advanced-stage ovarian cancer

Zhi-yao You,Hui Li,Miao-fang Wu,Yanfang Ye,Li-juan Wang,Zhongqiu Lin,Jing Li 대한부인종양학회 2024 Journal of Gynecologic Oncology Vol.35 No.1

Objective: To identif y the maximum tolerated dose (MTD) of docetaxel combined with afixed dose of cisplatin (75 mg/m2) delivered as hyperthermic intraperitoneal chemotherapy(HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal inter val design was used. Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 incrementsuntil the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The dose-limiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC wasdelivered immediately following debulking surger y at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among thepatients who received a dose of docetaxel ≤65 mg/m2, no DLT was reported. DLTs wereobser ved in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in threepatients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated withdocetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion: Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be usedsafely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC(43°C, 90 minutes) following debulking surger y. Trial Registration: ClinicalTrials.gov Identifier: NCT05410483

Alternative Biological Material for Tissue Engineering of the Vagina: Porcine-Derived Acellular Vaginal Matrix

Tian Yanpeng,Liu Yibin,Xiao Yanlai,Li Zhongkang,Zhang Mingle,Chen Liang,Li Zhen,Zhang Wangchao,Zhang Zhiqiang,Kong Desheng,Meng Li,Du Yanfang,Zhang Jingkun,Gao Jingui,Huang Xianghua 한국조직공학과 재생의학회 2024 조직공학과 재생의학 Vol.21 No.2

Background: Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is a severe congenital disorder characterized by vaginal hypoplasia caused by dysplasia of the Müllerian duct. Patients with MRKH syndrome often require nonsurgical or surgical treatment to achieve satisfactory vaginal length and sexual outcomes. The extracellular matrix has been successfully used for vaginal reconstruction. Methods: In this study, we developed a new biological material derived from porcine vagina (acellular vaginal matrix, AVM) to reconstruct the vagina in Bama miniature pigs. The histological characteristics and efficacy of acellularization of AVM were evaluated, and AVM was subsequently transplanted into Bama miniature pigs to reconstruct the vaginas. Results: Macroscopic analysis showed that the neovaginas functioned well in all Bama miniature pigs with AVM implants. Histological analysis and electrophysiological evidence indicated that morphological and functional recovery was restored in normal vaginal tissues. Scanning electron microscopy showed that the neovaginas had mucosal folds characteristics of normal vagina. No significant differences were observed in the expression of CK14, HSP47, and α-actin between the neovaginas and normal vaginal tissues. However, the expression of estrogen receptor (ER) was significantly lower in the neovaginas than in normal vaginal tissues. In addition, AVM promoted the expression of β-catenin, c-Myc, and cyclin D1. These results suggest that AVM might promotes vaginal regeneration by activating the β-catenin/c-Myc/cyclin D1 pathway. Conclusion: This study reveals that porcine-derived AVM has potential application for vaginal regeneration. Background: Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome is a severe congenital disorder characterized by vaginal hypoplasia caused by dysplasia of the Müllerian duct. Patients with MRKH syndrome often require nonsurgical or surgical treatment to achieve satisfactory vaginal length and sexual outcomes. The extracellular matrix has been successfully used for vaginal reconstruction. Methods: In this study, we developed a new biological material derived from porcine vagina (acellular vaginal matrix, AVM) to reconstruct the vagina in Bama miniature pigs. The histological characteristics and efficacy of acellularization of AVM were evaluated, and AVM was subsequently transplanted into Bama miniature pigs to reconstruct the vaginas. Results: Macroscopic analysis showed that the neovaginas functioned well in all Bama miniature pigs with AVM implants. Histological analysis and electrophysiological evidence indicated that morphological and functional recovery was restored in normal vaginal tissues. Scanning electron microscopy showed that the neovaginas had mucosal folds characteristics of normal vagina. No significant differences were observed in the expression of CK14, HSP47, and α-actin between the neovaginas and normal vaginal tissues. However, the expression of estrogen receptor (ER) was significantly lower in the neovaginas than in normal vaginal tissues. In addition, AVM promoted the expression of β-catenin, c-Myc, and cyclin D1. These results suggest that AVM might promotes vaginal regeneration by activating the β-catenin/c-Myc/cyclin D1 pathway. Conclusion: This study reveals that porcine-derived AVM has potential application for vaginal regeneration.

Molecular detection and genetic diversity of bovine papillomavirus in dairy cows in Xinjiang, China

Qingling Meng,Chengcheng Ning,Lixia Wang,Yan Ren,Jie Li,Chencheng Xiao,Yanfang Li,Zhiyuan Li,Zhihao He,Xuepeng Cai,Jun Qiao 대한수의학회 2021 Journal of Veterinary Science Vol.22 No.4

Background: Bovine papillomatosis is a type of proliferative tumor disease of skin and mucosae caused by bovine papillomavirus (BPV). As a transboundary and emerging disease in cattle, it poses a potential threat to the dairy industry. Objectives: The aim of this study is to detect and clarify the genetic diversity of BPV circulating in dairy cows in Xinjiang, China. Methods: 122 papilloma skin lesions from 8 intensive dairy farms located in different regions of Xinjiang, China were detected by polymerase chain reaction. The genetic evolution relationships of various types of BPVs were analyzed by examining this phylogenetic tree. Results: Ten genotypes of BPV (BPV1, BPV2, BPV3, BPV6, BPV7, BPV8, BPV10, BPV11, BPV13, and BPV14) were detected and identified in dairy cows. These were the first reported detections of BPV13 and BPV14 in Xinjiang, Mixed infections were detected, and there were geographical differences in the distribution of the BPV genotypes. Notably, the BPV infection rate among young cattle (< 1-year-old) developed from the same supply of frozen sperm was higher than that of the other young cows naturally raised under the same environmental conditions. Conclusions: Genotyping based on the L1 gene of BPV showed that BPVs circulating in Xinjiang China displayed substantial genetic diversity. This study provided valuable data at the molecular epidemiology level, which is conducive to developing deep insights into the genetic diversity and pathogenic characteristics of BPVs in dairy cows.

GPU-ACCELERATED SPECKLE MASKING RECONSTRUCTION ALGORITHM FOR HIGH-RESOLUTION SOLAR IMAGES

Yanfang Zheng,Xuebao Li,Huifeng Tian,Qiliang Zhang,Chong Su,Lingyi Shi,Ta Zhou 한국천문학회 2018 Journal of The Korean Astronomical Society Vol.51 No.3

The near real-time speckle masking reconstruction technique has been developed to accelerate the processing of solar images to achieve high resolutions for ground-based solar telescopes. However, the reconstruction of solar subimages in such a speckle reconstruction is very time-consuming. We design and implement a new parallel speckle masking reconstruction algorithm based on the Compute Unified Device Architecture (CUDA) on General Purpose Graphics Processing Units (GPGPU). Tests are performed to validate the correctness of our program on NVIDIA GPGPU. Details of several parallel reconstruction steps are presented, and the parallel implementation between various modules shows a significant speed increase compared to the previous serial implementations. In addition, we present a comparison of runtimes across serial programs, the OpenMP-based method, and the new parallel method. The new parallel method shows a clear advantage for large scale data processing, and a speedup of around 9 to 10 is achieved in reconstructing one solar subimage of 256$\times$256 pixels. The speedup performance of the new parallel method exceeds that of OpenMP-based method overall. We conclude that the new parallel method would be of value, and contribute to real-time reconstruction of an entire solar image.

MODIFIED CONVOLUTIONAL NEURAL NETWORK WITH TRANSFER LEARNING FOR SOLAR FLARE PREDICTION

Yanfang Zheng,Xuebao Li,Xinshuo Wang,Ta Zhou 한국천문학회 2019 Journal of The Korean Astronomical Society Vol.52 No.6

We apply a modified Convolutional Neural Network (CNN) model in conjunction with transfer learning to predict whether an active region (AR) would produce a ≥C-class or ≥M-class are within the next 24 hours. We collect line-of-sight magnetogram samples of ARs provided by the SHARP from May 2010 to September 2018, which is a new data product from the HMI onboard the SDO. Based on these AR samples, we adopt the approach of shuffle-and-split cross-validation (CV) to build a database that includes 10 separate data sets. Each of the 10 data sets is segregated by NOAA AR number into a training and a testing data set. After training, validating, and testing our model, we compare the results with previous studies using predictive performance metrics, with a focus on the true skill statistic (TSS). The main results from this study are summarized as follows. First, to the best of our knowledge, this is the first time that the CNN model with transfer learning is used in solar physics to make binary class predictions for both ≥C-class and ≥M-class ares, without manually engineered features extracted from the observational data. Second, our model achieves relatively high scores of TSS = 0.6400.075 and TSS = 0.5260.052 for ≥M-class prediction and ≥C-class prediction, respectively, which is comparable to that of previous models. Third, our model also obtains quite good scores in five other metrics for both ≥C-class and ≥M-class are prediction. Our results demonstrate that our modified CNN model with transfer learning is an effective method for are forecasting with reasonable prediction performance.

Study on Architecture and Implementation of Port Logistics Information Service Platform Based on Cloud Computing

Changming Li,Jie Shen,Yanfang Liu 보안공학연구지원센터 2015 International Journal of Future Generation Communi Vol.8 No.2

This paper analyses service objects and functional positioning of port logistics information service platform firstly. The architecture of port logistics information service platform upon cloud computing is proposed Based on the research of the concept and service mode of cloud computing. The system configuration and function implementation on the basis of Windows Azure Platform is further discussed in detail.

A NOVEL PARALLEL METHOD FOR SPECKLE MASKING RECONSTRUCTION USING THE OPENMP

Xuebao Li,Yanfang Zheng 한국천문학회 2016 Journal of The Korean Astronomical Society Vol.49 No.4

High resolution reconstruction technology is developed to help enhance the spatial resolution of observational images for ground-based solar telescopes, such as speckle masking. Near real-time reconstruction performance is achieved on a high performance cluster using the Message Passing Interface (MPI). However, much time is spent in reconstructing solar subimages in such a speckle reconstruction. We design and implement a novel parallel method for speckle masking reconstruction of solar subimage on a shared memory machine using the OpenMP. Real tests are performed to verify the correctness of our codes. We present the details of several parallel reconstruction steps. The parallel implementation between various modules shows a great speed increase as compared to single thread serial implementation, and a speedup of about 2.5 is achieved in one subimage reconstruction. The timing result for reconstructing one subimage with 256$\times$256 pixels shows a clear advantage with greater number of threads. This novel parallel method can be valuable in real-time reconstruction of solar images, especially after porting to a high performance cluster.