Ying Xie

Prof. Ying Xie


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2016 in Oxidative Medicine and Cellular Longevity
Verified
Journal Article
Open access
PDF file
YZYanlin Zhang
Yanlin Zhang
XCXueqin Cao
Xueqin Cao
WZWawa Zhu
Wawa Zhu
ZLZhihua Liu
Zhihua Liu
HLHuihui Liu
Huihui Liu
YXYing Xie
Ying Xie
Oxidized low‐density lipoprotein‐ (Ox‐LDL‐) induced autophagy dysfunction in human vascular endothelial cells contributes to the development of atherosclerosis (AS). Resveratrol (RSV) protects against Ox‐LDL‐induced endothelium injury. The objective of this study was to determine the mechanisms underlying Ox‐LDL‐induced autophagy dysfunction and RSV‐mediated protection in human umbilical vein endothelial cells (HUVECs). The results showed that Ox‐LDL suppressed the expression of sirtuin 1 (SIRT1) and increased LC3‐II and sequestosome 1 (p62) protein levels without altering p62 mRNA levels in HUVECs. Pretreatment with bafilomycin A1 (BafA1) to inhibit lysosomal degradation abrogated the Ox‐LDL‐induced increase in LC3‐II protein level. Ox‐LDL increased colocalization of GFP and RFP puncta in mRFP‐GFP‐tandem fluorescent LC3‐ (tf‐LC3‐) transfected cells. Moreover, Ox‐LDL decreased the expression of mature cathepsin D and attenuated cathepsin D activity. Pretreatment with RSV increased the expression of SIRT1 and LC3‐II and increased p62 protein degradation. RSV induced RFP‐LC3 aggregation more than GFP‐LC3 aggregation. RSV restored lysosomal function and promoted Ox‐LDL degradation in HUVECs. All the protective effects of RSV were blocked after SIRT1 was knocked down. These findings demonstrated that RSV upregulated the expression of SIRT1, restored lysosomal function, enhanced Ox‐LDL‐induced impaired autophagic flux, and promoted Ox‐LDL degradation through the autophagy‐lysosome degradation pathway in HUVECs.

11 January 2016 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YZYanDe Zhou
YanDe Zhou
XCXue-Qin Cao
Xue-Qin Cao
ZLZhi-Hua Liu
Zhi-Hua Liu
YCYong-Jun Cao
Yong-Jun Cao
CLChun-Feng Liu
Chun-Feng Liu
YXYing Xie
Ying Xie
Lectin-like oxidized low-density lipoprotein-1 (LOX-1) is the major receptor for oxidized low density lipoprotein (ox-LDL) uptake in human umbilical vein endothelial cells (HUVECs). Previously, we found that rapamycin inhibited ox-LDL accumulation in HUVECs, and this effect was related to its role in increasing the activity of autophagy-lysosome pathway. In this study, we determined whether rapamycin could also reduce ox-LDL uptake in HUVECs and investigated the underlying signaling mechanisms. Flow cytometry and live cell imaging showed that rapamycin reduced Dil-ox-LDL accumulation in HUVECs. Furthermore, rapamycin reduced the ox-LDL-induced increase in LOX-1 mRNA and protein levels. Western blotting showed that rapamycin inhibited mechanistic target of rapamycin (mTOR), p70s6k and IκBα phosphorylation triggered by ox-LDL. Flow cytometry implied that mTOR, NF-κB knockdown and NF-κB inhibitors significantly reduced Dil-ox-LDL uptake. Moreover, immunofluorescent staining showed that rapamycin reduced the accumulation of p65 in the nucleus after ox-LDL treatment for 30 h. mTOR knockdown decreased LOX-1 protein production and IκBα phosphorylation induced by ox-LDL. NF-κB knockdown and NF-κB inhibitors reduced LOX-1 protein production, but did not inhibit mTOR phosphorylation stimulated by ox-LDL. These findings demonstrate that rapamycin reduce mTOR phosphorylation and subsequently inhibit NF-κB activation and suppresses LOX-1, resulting in a reduction in ox-LDL uptake in HUVECs.

23 February 2022 in BMC Endocrine Disorders
Verified
Journal Article
Open access
PDF file
CRChenxi Ren
Chenxi Ren
XZXiaoyan Zhang
Xiaoyan Zhang
YZYunxia Zhu
Yunxia Zhu
JXJun Xu
Jun Xu
YXYing Xie
Ying Xie
Background: Metabolic disorders and malnutrition are a double burden worldwide. The aim was to determine whether low calf circumference (CC) could predict nutritional risk and the cut-off values of CC for predicting nutritional risk in metabolic syndrome (MetS) patients aged over 80 years. We aimed to evaluate the risk factors for predicting mortality in MetS. Methods: A total of 514 patients aged over 80 years with MetS were enrolled and followed for 2.5 years. On admission, demographic data, CC, and laboratory parameters were obtained. Patients with a Nutritional Risk Screening 2002 (NRS 2002) total score ≥ 3 were considered to have nutritional risk. Results: The CC level was significantly lower in the nutritional risk group than in the non-nutritional risk with MetS group (27.1 ± 4.0 cm vs. 30.8 ± 3.9 cm). Logistic regression analysis of nutritional risk revealed that increasing CC (adjusted OR, 0.81; 95% CI, 0.74–0.88) was an independent protective factor against nutrition risk. The best CC cut-off value for predicting nutritional risk according to the NRS 2002 was 28.8 cm. Cox regression multivariate models showed nutritional risk (HR, 2.48; 95% CI, 1.22–5.04) and decreased CC (HR, 2.78; 95% CI, 1.27–5.98) remained independent risk factors for mortality. Conclusion: Decreased CC could predict not only nutritional risk but also mortality in MetS patients aged over 80 years. The elderly who had MetS with nutritional risk should be discovered early, early intervention and early treatment. CC may be a valuable index to screen out this population.

1 January 2017 in Biochemical and Biophysical Research Communications
Verified
Journal Article
Closed access
WZWa-Wa Zhu
Wa-Wa Zhu
SWShu-Rong Wang
Shu-Rong Wang
ZLZhi-Hua Liu
Zhi-Hua Liu
YCYong-Jun Cao
Yong-Jun Cao
FWFen Wang
Fen Wang
YZYanlin Zhang
Yanlin Zhang

9 April 2025 in Hepatology International
Verified
Journal Article
Closed access
PDF file
JZJie Zhang
Jie Zhang
WWWei Wang
Wei Wang
XWXiao-Qing Wang
Xiao-Qing Wang
HHHai-Rong Hao
Hai-Rong Hao
WHWen Hu
Wen Hu
YXYing Xie
Ying Xie

23 January 2024 in Journal of Diabetes Research
Verified
Journal Article
Open access
PDF file
LZLi Zhang
Li Zhang
ZWZhaoxiang Wang
Zhaoxiang Wang
FTFengyan Tang
Fengyan Tang
MWMenghuan Wu
Menghuan Wu
YPYing Pan
Ying Pan
YXYing Xie
Ying Xie
Background. Cellular senescence is thought to play a significant role in the onset and development of diabetic nephropathy. The goal of this study was to explore potential biomarkers associated with diabetic glomerulopathy from the perspective of senescence. Methods. Datasets about human glomerular biopsy samples related to diabetic nephropathy were systematically obtained from the Gene Expression Omnibus database. Hub senescence‐associated genes were investigated by differential gene analysis and Least Absolute Shrinkage and Selection Operator analysis. Cluster analysis was employed to identify senescence molecular subtypes. A single‐cell dataset was used to validate the above findings and further evaluate the senescence environment. The relationship between these genes and the glomerular filtration rate was explored based on the Nephroseq database. These gene expressions have also been explored in various kidney diseases. Results. Twelve representative senescence‐associated genes (VEGFA, IQGAP2, JUN, PLAT, ETS2, ANG, MMP14, VEGFC, SERPINE2, CXCR2, PTGES, and EGF) were finally identified. Biological changes in immune inflammatory response, cell cycle regulation, metabolic regulation, and immune microenvironment have been observed across different molecular subtypes. The above results were also validated based on single‐cell analysis. Additionally, we also identified several significantly altered cell communication pathways, including COLLAGEN, PTN, LAMININ, SPP1, and VEGF. Finally, almost all these genes could well predict the occurrence of diabetic glomerulopathy based on receiver operating characteristic analysis and are associated with the glomerular filtration rate. These genes are differently expressed in various kidney diseases. Conclusion. The present study identified potential senescence‐associated biomarkers and further explored the heterogeneity of diabetic glomerulopathy that might provide new insights into the diagnosis, assessment, management, and personalized treatment of DN.