Ying Xie

Prof. Ying Xie

School of Pharmaceutical Sciences, Peking University, Beijing 100191, China

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 February 2014 in Biomaterials
Verified
Journal Article
Closed access
YYYu-Ping Yu
Yu-Ping Yu
QWQi Wang
Qi Wang
YLYingchun Liu
Yingchun Liu
Ying XieYing Xie
Ying Xie

1 March 2017 in International Journal of Nanomedicine
Verified
Journal Article
Open access
PDF file
CLChang Liu
Chang Liu
XLXiao-Na Liu
Xiao-Na Liu
GWGui-Ling Wang
Gui-Ling Wang
YHYu Hei
Yu Hei
SMShuai Meng
Shuai Meng
Ying XieYing Xie
Ying Xie
As the global population ages, cancer rates increase worldwide, and degenerative diseases of the central nervous system (CNS), brain tumors, and inflammation threaten human health more frequently. We designed a dual-mediated (receptor-mediated and adsorption-mediated) liposome, named transferrin–cell penetrating peptide–sterically stabilized liposome (TF-CPP-SSL), to improve therapy for gliomas through combining molecular recognition of transferrin receptors (TF-Rs) on the blood–brain barrier (BBB) and glioma cells with the internalization and lysosomal escaping ability of CPP. Based on the systematic investigation of structure–activity relations on the cellular level, we constructed TF-CPP-SSL rationally by conjugating TF and CPP moieties to the liposomes via PEG3.4K and PEG2.0K, respectively, and found the optimum densities of TF and CPP were 1.8% and 4%, respectively. These liposomes had the highest targeting efficacy for brain microvascular endothelial cell and C6 cell uptake but avoided capture by normal cells. Fluorescence resonance energy transfer technology and coculture models of BBB and glioma C6 cells indicated that TF-CPP-SSL was transported across the BBB without drug leakage, liposome breakup, or cleavage of ligand. TF-CPP-SSL offered advantages for crossing the BBB and entering into glioma C6 cells. Real-time confocal viewing revealed that TF-CPP-SSL was entrapped in endosomes of glioma C6 cells and then escaped from lysosomes successfully to release the liposomal contents into the cytosol. Entrapped contents, such as doxorubicin, could then enter the nucleus to exert pharmacological effects.

4 November 2023 in Advanced Drug Delivery Reviews
Verified
Journal Article
Closed access
YCYu-Ling Chen
Yu-Ling Chen
CBChun-Jie Bao
Chun-Jie Bao
JDJia-Lun Duan
Jia-Lun Duan
Ying XieYing Xie
Ying Xie
Wan-liang LuWan-liang Lu
Wan-liang Lu

1 October 2017 in Drug Design, Development and Therapy
Verified
Journal Article
Open access
PDF file
YDYuan Ding
Yuan Ding
WCWei Cui
Wei Cui
DSDan Sun
Dan Sun
GWGui-Ling Wang
Gui-Ling Wang
YHYu Hei
Yu Hei
ZWZhi-Qiang Wang
Zhi-Qiang Wang
In vivo evaluation of drug delivery vectors is essential for clinical translation. In BALB/c nude mice bearing human breast cancer tumors, we investigated the biocompatibility, pharmacokinetics, and pharmacodynamics of doxorubicin (DOX)-loaded novel cell-penetrating peptide (CPP)-modified pH-sensitive liposomes (CPPL) (referred to as CPPL(DOX)) with an optimal CPP density of 4%. In CPPL, a polyethylene glycol (PEG) derivative formed by conjugating PEG with stearate via acid-degradable hydrazone bond (PEG2000-Hz-stearate) was inserted into the surface of liposomes, and CPP was directly attached to liposome surfaces via coupling with stearate to simultaneously achieve long circulation time in blood and improve the selectivity and efficacy of CPP for tumor targeting. Compared to PEGylated liposomes, CPPL enhanced DOX accumulation in tumors up to 1.9-fold (p<0.01) and resulted in more cell apoptosis as a result of DNA disruption as well as a relatively lower tumor growth ratio (T/C%). Histological examination did not show any signs of necrosis or inflammation in normal tissues, but large cell dissolving areas were found in tumors following the treatment of animals with CPPL(DOX). Our findings provide important and detailed information regarding the distribution of CPPL(DOX) in vivo and reveal their abilities of tumor penetration and potential for the treatment of breast cancer.

1 April 2024 in Bioactive Materials
Verified
Journal Article
Open access
PLPeishan Li
Peishan Li
Ying XieYing Xie
Ying Xie
JWJinling Wang
Jinling Wang
CBChunjie Bao
Chunjie Bao
JDJialun Duan
Jialun Duan
Wan-liang LuWan-liang Lu
Wan-liang Lu
Cancer patients by immune checkpoint therapy have achieved long-term remission, with no recurrence of clinical symptoms of cancer for many years. Nevertheless, more than half of cancer patients are not responsive to this therapy due to immune exhaustion. Here, we report a novel gene engineered exosome which is rationally designed by engineering PD1 gene and simultaneously enveloping an immune adjuvant imiquimod (PD1-Imi Exo) for boosting response of cancer immune checkpoint blockage therapy. The results showed that PD1-Imi Exo had a vesicular round shape (approximately 139 nm), revealed a significant targeting and a strong binding effect with both cancer cell and dendritic cell, and demonstrated a remarkable therapeutic efficacy in the melanoma-bearing mice and in the breast cancer-bearing mice. The mechanism was associated with two facts that PD1-Imi Exo blocked the binding of CD8+ T cell with cancer cell, displaying a PD1/PDL1 immune checkpoint blockage effect, and that imiquimod released from PD1-Imi Exo promoted the maturation of immature dendritic cell, exhibiting a reversing effect on the immune exhaustion through activating and restoring function of CD8+ T cell. In conclusion, the gene engineered exosome could be used for reversing T cell exhaustion in cancer immunotherapy. This study also offers a promising new strategy for enhancing PD1/PDL1 therapeutic efficacy, preventing tumor recurrence or metastasis after surgery by rebuilding the patients' immunity, thus consolidating the overall prognosis.

24 June 2024 in Biomaterials
Verified
Journal Article
Closed access
SCSongyue Chen
Songyue Chen
JWJunbo Wang
Junbo Wang
LSLiyu Sun
Liyu Sun
FXFangzhi Xia
Fangzhi Xia
WLWenzhe Li
Wenzhe Li
WLWanliang Lu
Wanliang Lu