Zhongpeng Zhao

Dr. Zhongpeng Zhao

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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25 September 2020 in Science
Verified
Journal Article
Open access
PDF file
HGHongjing Gu
Hongjing Gu
QCQi Chen
Qi Chen
GYGuan Yang
Guan Yang
LHLei He
Lei He
HFHang Fan
Hang Fan
YZYusen Zhou
Yusen Zhou
Modeling SARS-CoV-2 in mice: Among the research tools necessary to develop medical interventions to treat severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, high on the list are informative animal models with which to study viral pathogenesis. Gu et al. developed a mouse model in which a SARS-CoV-2 strain was infectious and could cause an inflammatory response and moderate pneumonia. Adaptation of this viral strain in the mouse appeared to be dependent on a critical amino acid change, Asn 501 to Tyr (N501Y), within the receptor-binding domain of the viral spike protein. The new mouse model was used to study neutralizing antibodies and a vaccine candidate against the virus. Science , this issue p. 1603

28 August 2025 in Biosensors
Verified
Journal Article
Open access
PDF file
YZYuliang Zhao
Yuliang Zhao
TSTingting Sun
Tingting Sun
HZHuawei Zhang
Huawei Zhang
WLWenjing Li
Wenjing Li
CLChao Lian
Chao Lian
SCShaolong Chen
Shaolong Chen
Artificial intelligence (AI) is transforming electrochemical biosensing systems, offering novel solutions for foodborne pathogen detection. This review examines the integration of AI technologies, particularly machine learning and deep learning algorithms, in enhancing sensor design, material optimization, and signal processing for detecting key pathogens such as Escherichia coli, Salmonella, and Staphylococcus aureus. Key advancements include improved sensitivity, multiplexed detection, and adaptability to complex environments. The application of AI to the design of recognition molecules (e.g., enzymes, antibodies, aptamers), as well as to electrochemical parameter tuning and multicomponent signal analysis, is systematically reviewed. Additionally, the convergence of AI with the Internet of Things (IoT) is discussed as a pathway to portable, real-time detection platforms. The review highlights the pivotal role of AI across multiple layers of biosensor development, emphasizing the opportunities and challenges that arise from interdisciplinary integration and the practical deployment of IoT-enabled technologies in electrochemical sensing systems. Despite significant progress, challenges remain in data quality, model generalization, and interpretability. The review concludes by outlining future research directions for building robust, intelligent biosensing systems capable of supporting scalable food safety monitoring.

2 May 2020 in bioRxiv
Verified
Preprint
Open access
PDF file
HGHongjing Gu
Hongjing Gu
QCQi Chen
Qi Chen
GYGuan Yang
Guan Yang
LHLei He
Lei He
HFHang Fan
Hang Fan
BSBojiang Shi
Bojiang Shi
Coronavirus disease 2019 (COVID-19) threatens global public health and economy. In order to develop safe and effective vaccines, suitable animal models must be established. Here we report the rapid adaption of SARS-CoV-2 in BALB/c mice, based on which a convenient, economical and effective animal model was developed. Specifically, we found that mouse-adapted SARS-CoV-2 at passage 6 (MACSp6) efficiently infected both aged and young wild-type BALB/c mice, resulting in moderate pneumonia as well as inflammatory responses. The elevated infectivity of MACSp6 in mice could be attributed to the substitution of a key residue (N501Y) in the receptorbinding domain (RBD). Using this novel animal model, we further evaluated the in vivo protective efficacy of an RBD-based SARS-CoV-2 subunit vaccine, which elicited highly potent neutralizing antibodies and conferred full protection against SARS-CoV-2 MACSp6 challenge. This novel mouse model is convenient and effective in evaluating the in vivo protective efficacy of SARS-CoV-2 vaccine. Summary: This study describes a unique mouse model for SARS-CoV-2 infection and confirms protective efficacy of a SARS-CoV-2 RBD subunit vaccine.

18 January 2012 in PLOS ONE
Verified
Journal Article
Open access
PDF file
PYPenghui Yang
Penghui Yang
YDYueqiang Duan
Yueqiang Duan
PZPeirui Zhang
Peirui Zhang
ZLZhiwei Li
Zhiwei Li
CWCheng Wang
Cheng Wang
XWXiliang Wang
Xiliang Wang
The increase in recent outbreaks and unpredictable changes of highly pathogenic avian influenza (HPAI) H5N1 in birds and humans highlights the urgent need to develop a cross-protective H5N1 vaccine. We here report our development of a multiple-clade H5N1 influenza vaccine tested for immunogenicity and efficacy to confer cross-protection in an animal model. Mice received two doses of influenza split vaccine with oil-in-water emulsion adjuvant SP01 by intranasal administration separated by two weeks. Single vaccines (3 µg HA per dose) included rg-A/Vietnam/1203/2004(Clade 1), rg-A/Indonesia/05/2005(Clade 2.1), and rg-A/Anhui/1/2005(Clade 2.3.4). The trivalent vaccine contained 1 µg HA per dose of each single vaccine. Importantly, complete cross-protection was observed in mice immunized using trivalent vaccine with oil-in-water emulsion adjuvant SP01 that was subsequently challenged with the lethal A/OT/SZ/097/03 influenza strain (Clade 0), whereas only the survival rate was up to 60% in single A/Anhui/1/2005 vaccine group. Our findings demonstrated that the multiple-clade H5N1 influenza vaccine was able to elicit a cross-protective immune response to heterologous HPAI H5N1 virus, thus giving rise to a broadly cross-reactive vaccine to potential prevention use ahead of the strain-specific pandemic influenza vaccine in the event of an HPAI H5N1 influenza outbreak. Also, the multiple-clade adjuvanted vaccine could be useful in allowing timely initiation of vaccination against unknown pandemic virus.

3 October 2025 in Carbohydrate Polymers
Verified
Journal Article
Closed access
YLYuelong Li
Yuelong Li
JWJianlong Wang
Jianlong Wang
SCShuihong Cheng
Shuihong Cheng
WHWenhua Huang
Wenhua Huang
ZZZhongpeng Zhao
Zhongpeng Zhao
YJYongqiang Jiang
Yongqiang Jiang

30 April 2019 in bioRxiv
Verified
Preprint
Open access
PDF file
CLChengcai Lai
Chengcai Lai
LLLihui Liu
Lihui Liu
QLQinghua Liu
Qinghua Liu
SCSijie Cheng
Sijie Cheng
KWKeyu Wang
Keyu Wang
XWXiliang Wang
Xiliang Wang
Accumulating evidence has shown that long noncoding RNAs (lncRNAs) are involved in several biological processes, including immune responses. However, the role of lncRNAs in antiviral innate immune responses remains largely unexplored. Here, we identify an uncharacterized human lncRNA from influenza A virus (IAV) patients, antivirus and activate neutrophil ( AVAN ), that is significantly up-regulated upon virus infection. Mechanistically, nuclear lncRNA- AVAN positively regulates the transcription of forkhead box O3A (FOXO3a) by associating with its promoter and inducing chromatin remodeling to promote neutrophil chemotaxis. Furthermore, we also found that cytoplasmic lncRNA- AVAN directly binds tripartite motif containing 25 (TRIM25) and enhances the association of TRIM25 and Retinoic acid inducible gene-1 proteins (RIG-I) and the ubiquitylation of RIG-I, thereby promoting TRIM25- and RIG-I-mediated antiviral innate immune signaling. More importantly, we enforced the expression of AVAN in transgenic mice and found that it significantly alleviated IAV virulence and virus production. Collectively, these findings highlight the potential clinical implications of lncRNA- AVAN as a key positive regulator of the antiviral innate immune response and a promising target for developing broad antiviral therapeutics.