Publications by authors named "Qingyi Zhao"

4 Publications

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Exenatide regulates inflammation and the production of reactive oxygen species via inhibition of S1PR2 synthesis.

Adv Clin Exp Med 2021 May;30(5):555-561

Department of Ophthalmology, Zhangjiagang TCM Hospital (affiliated to Nanjing University of Chinese Medicine), China.

Background: Microvascular dysfunction is one of the most serious complications of diabetic retinopathy (DR). As a novel treatment drug for type 2 diabetes, exenatide possesses protective properties against retinal neurodegeneration. Sphingosine-1-phosphate receptor 2 (S1PR2) could regulate blood glucose in diabetes, and inhibition of S1PR2 is involved in the treatment of diabetes. However, the mechanism of exenatide in human retinal vascular endothelial cells (hRVECs) has not been fully defined.

Objectives: We tested the hypothesis that S1PR2 plays a vital role in high glucose (HG)-induced hRVECs, and that exenatide could ameliorate HG-induced hRVEC injury by regulating S1PR2 production.

Material And Methods: The hRVECs underwent HG-stimulation. Quantitative real-time polymerase chain reaction (RT-qPCR) and western blot were performed to examine the expression of S1PR2. Oxidative stress levels, inflammatory markers and cell apoptosis were detected using reactive oxygen species (ROS) staining, enzyme-linked immunosorbent assay (ELISA) kits and TUNEL staining.

Results: High glucose increased the level of S1PR2 in hRVECs and reduced the expression of glucagon-like peptide-1 receptor (GLP1R) compared to the control group. Exenatide decreased the level of S1PR2 induced by HG. Sphingosine-1 blocked the effects of exenatide, alleviating the ROS and cell apoptosis induced by HG. JTE-013 treatment protected hRVECs from injury by HG. The inhibitory effects of exenatide on S1PR2 expression lessened HG-induced hRVEC injury.

Conclusions: The results demonstrate a possible mechanism of exenatide mediated inhibition of S1PR2 synthesis, and support S1PR2 as a novel target for treating DR.
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http://dx.doi.org/10.17219/acem/133483DOI Listing
May 2021

Improved production of recombinant lipase by coexpressing protein folding chaperones in , which triggered ER stress.

Bioengineered 2020 12;11(1):375-385

State Key Laboratory of Agrobiotechnology and MOA Key Laboratory of Soil Microbiology, College of Biological Sciences, China Agricultural University, Beijing, China.

lipase (RML) is a biocatalyst that widely used in laboratory and industrial. Previously, RML with a 70-amino acid propeptide (pRML) was cloned and expressed in . Recombinant strains with (strain containing 4-copy ) and without ER stress (strain containing 2-copy ) were obtained. However, the effective expression of pRML in by coexpressing ER-related elements in pRML-produced strain with or without ER stress has not been reported to date. In this study, an efficient way to produce functional pRML was explored in . The coexpression of protein folding chaperones, including and , in different strains with or without ER stress, was investigated. overexpression only increased pRML production in 4-copy strain from 705 U/mL to 1430 U/mL because it alleviated the protein folded stress, increased the protein concentration from 0.56  mg/mL to 0.65 mg/mL, and improved enzyme-specific activity from 1238 U/mg to 2186 U/mg. However, coexpression could not improve pRML production in the 2-copy strain because it increased protein folded stress, while coexpression in the two strains all had a negative effect on pRML expression. We also investigated the effect of the propeptide on the substrate specificity and the condition for pRML enzyme powder preparation. Results showed that the relative activity exceeded 80% when the substrates C8-C10 were detected at 35°C and pH 6, and C8-C12 at 45°C and pH 8. The optimal enzyme powder preparation pH was 7, and the maximum recovery rate for pRML was 73.19%.
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http://dx.doi.org/10.1080/21655979.2020.1738127DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7161542PMC
December 2020

Ultrasound-assisted hydrolysis of lard for free fatty acids catalyzed by combined two lipases in aqueous medium.

Bioengineered 2020 12;11(1):241-250

Key Laboratory for Biotechnology on Medicinal Plants of Jiangsu Province, School of Life Sciences, Jiangsu Normal University, Xuzhou, P. R. China.

Lard is a by-product of animal processing. It is inexpensive compared with vegetable oils; however, its use is limited due to the high calorific value and high-saturated fatty acid content. While using lard as the source of free fatty acids (FFA) can significantly increase its utilization value. This study aimed to research the method on efficient hydrolysis of lard catalyzed by -lipases and assisted with ultrasound pretreatment. A 1,3-specific lipase from (termed pRML, 1540 U/mL) and a nonspecific mono- and diacylglycerol lipase from (termed MDL, 2000 U/mL) were used as biocatalysts. Results showed that the maximum hydrolysis rate of lard after 6 h at 45°C by using pRML and MDL alone was, respectively, 39.9% and 8.5%. When pRML combined with MDL (-lipases), hydrolysis rate can reach to 78.1%. While -lipases were assisted with 5 min ultrasound pretreatment before the reaction, the hydrolysis rate can further increase to 97%. The -lipases with different specificity and assisted with ultrasound pretreatment may be a useful technology for the enzyme production of FFA from complex lipid substrates, such as lard.
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http://dx.doi.org/10.1080/21655979.2020.1729678DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039637PMC
December 2020

[A review of deep learning methods for the detection and classification of pulmonary nodules].

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi 2019 Dec;36(6):1060-1068

Shanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine & Health Sciences, Shanghai 201318, P.R.China.

Lung cancer has the highest mortality rate among all malignant tumors. The key to reducing lung cancer mortality is the accurate diagnosis of pulmonary nodules in early-stage lung cancer. Computer-aided diagnostic techniques are considered to have potential beyond human experts for accurate diagnosis of early pulmonary nodules. The detection and classification of pulmonary nodules based on deep learning technology can continuously improve the accuracy of diagnosis through self-learning, and is an important means to achieve computer-aided diagnosis. First, we systematically introduced the application of two dimension convolutional neural network (2D-CNN), three dimension convolutional neural network (3D-CNN) and faster regions convolutional neural network (Faster R-CNN) techniques in the detection of pulmonary nodules. Then we introduced the application of 2D-CNN, 3D-CNN, multi-stream multi-scale convolutional neural network (MMCNN), deep convolutional generative adversarial networks (DCGAN) and transfer learning technology in classification of pulmonary nodules. Finally, we conducted a comprehensive comparative analysis of different deep learning methods in the detection and classification of pulmonary nodules.
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http://dx.doi.org/10.7507/1001-5515.201903027DOI Listing
December 2019