He Zhao

Dr. He Zhao


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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3 September 2024 in Advanced Science
Verified
Journal Article
Open access
XLXinjing Lv
Xinjing Lv
JMJie Min
Jie Min
JHJie Huang
Jie Huang
HWHairong Wang
Hairong Wang
SWSong Wei
Song Wei
JWJian Wang
Jian Wang
The overactivated immune cells in the infectious lesion may lead to irreversible organ damages under severe infections. However, clinically used immunosuppressive anti‐inflammatory drugs will usually disturb immune homeostasis and conversely increase the risk of infections. Regulating the balance between anti‐inflammation and anti‐infection is thus critical in treating certain infectious diseases. Herein, considering that hydrogen peroxide (H2O2), myeloperoxidase (MPO), and neutrophils are upregulated in the inflammatory microenvironment and closely related to the severity of appendectomy patients, an inflammatory‐microenvironment‐responsive nanomedicine is designed by using poly(lactic‐co‐glycolic) acid (PLGA) nanoparticles to load chlorine E6 (Ce6), a photosensitizer, and luminal (Lum), a chemiluminescent agent. The obtained Lum/Ce6@PLGA nanoparticles, being non‐toxic within normal physiological environment, can generate cytotoxic single oxygen via bioluminescence resonance energy transfer (BRET) in the inflammatory microenvironment with upregulated H2O2 and MPO, simultaneously killing pathogens and excessive inflammatory immune cells in the lesion, without disturbing immune homeostasis. As evidenced in various clinically relevant bacterial infection models and virus‐induced pneumonia, Lum/Ce6@PLGA nanoparticles appeared to be rather effective in controlling both infection and inflammation, resulting in significantly improved animal survival. Therefore, the BRET‐based nanoparticles by simultaneously controlling infections and inflammation may be promising nano‐therapeutics for treatment of severe infectious diseases.

28 March 2023 in Journal of Controlled Release
Verified
Journal Article
Closed access
XLXinjing Lv
Xinjing Lv
JHJie Huang
Jie Huang
JMJie Min
Jie Min
HWHairong Wang
Hairong Wang
YXYunyun Xu
Yunyun Xu
HZHe Zhao
He Zhao

10 March 2015 in RSC Advances
Verified
Journal Article
Closed access
PDF file
HLHua-Fei Li
Hua-Fei Li
CWCong Wu
Cong Wu
MXMao Xia
Mao Xia
HZHe Zhao
He Zhao
MZMeng-Xin Zhao
Meng-Xin Zhao
LZLi Zhang
Li Zhang
Drug delivery systems (DDS) with favorable serum stability, high intra-tumor accumulation and tumor specific drug release are highly desired for promoting chemotherapeutic efficacy.

22 March 2024 in BMC Pediatrics
Verified
Journal Article
Open access
PDF file
JMJie Min
Jie Min
YWYi Wu
Yi Wu
SHShungen Huang
Shungen Huang
YLYanhong Li
Yanhong Li
XLXinjing Lv
Xinjing Lv
JWJian Wang
Jian Wang
Background: Neuroblastoma (NB), a type of solid tumor in children, has a poor prognosis. Few blood biomarkers can accurately predict the prognosis, including recurrence and survival, in children with NB. In this study, we found that the serum total cholesterol (Tchol) level was associated with the prognosis of patients through a retrospective study. Methods: Multivariate Cox regression model was used to identify the independent risk factors in the children with NB. Kaplan–Meier method was used to analyze the correlation between the common biomarkers, including the serum Tchol level, and the prognosis of the patients. ROC curves were used to predict the accuracy of the International Neuroblastoma Staging System (INSS) stage and Children’s Oncology Group (COG) risk stratification after adding the serum Tchol level. Results: Compared with the other patients, serum Tchol level was significantly increased in the relapsed and died patients (P < 0.05). Subsequently, serum Tchol level was found as an independent risk factor to affect the outcome of patients (P < 0.05). Finally, we added serum Tchol level into traditional stage and risk classification system to form the new INSS stage and COG risk classification system. It was found that the areas under the ROC curve (AUC) of recurrence-free survival in the new INSS stage and COG risk classification system were increased to 0.691 (95%CI: 0.535–0.847) and 0.748 (95%CI: 0.622–0.874), respectively. Moreover, the AUC areas of overall survival in the new INSS stage and COG risk classification system were increased to 0.722 (95%CI: 0.561–0.883) and 0.668 (95%CI: 0.496–0.819), respectively. Conclusion: We found that serum Tchol level, a clinical biomarker, is a risk factor for recurrence and death among the children with NB. The serum Tchol level could significantly increase the accuracy of the prediction for NB prognosis.

1 January 2022 in Journal of Materials Science
Verified
Journal Article
Open access
PDF file
YZYongxiang Zhao
Yongxiang Zhao
XLXinjing Lv
Xinjing Lv
JHJie Huang
Jie Huang
HZHuiting Zhou
Huiting Zhou
HWHairong Wang
Hairong Wang
HZHe Zhao
He Zhao
Sepsis, a life-threatening organ dysfunction induced by severe infection and uncontrolled host immune response, threatens the health of people all over the world. Herein, a type of nanoparticle formulation with simple components is synthesized by encapsulating monophosphoryl lipid A (MPLA), a TLR4 agonist, with poly(lactic-co-glycolic acid) (PLGA) nanoparticle. The obtained nanoparticles (MPLA@PLGA) could provide Escherichia coli (E. coli)-induced sepsis protection by regulating the immune system after sepsis challenge, including promoting the levels of various cytokines, boosting the percentage of natural killer cells and accelerating bacterial clearance. Notably, the survival mice pre-treated with these nanoparticles could resist repeated E. coli-induced sepsis. Our work therefore provides the great promise of MPLA@PLGA nanoparticles as a simple yet effective nano-drug for prevention and protection against E. coli-induced sepsis.

1 May 2022 in Nano
Verified
Journal Article
Closed access
PDF file
SZShichun Zhu
Shichun Zhu
HWHairong Wang
Hairong Wang
XLXinjing Lv
Xinjing Lv
JWJian Wang
Jian Wang
HZHe Zhao
He Zhao