Hong-Zhi Xie

Dr. Hong-Zhi Xie

Peking Union Medical College Hospital

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 August 2016 in Atherosclerosis
Verified
Journal Article
Closed access
XGXiaoxiao Guo
Xiaoxiao Guo
SYSu Yuan
Su Yuan
YLYongtai Liu
Yongtai Liu
YZYong Zeng
Yong Zeng
HXHong-Zhi Xie
Hong-Zhi Xie
ZSZhujun Shen
Zhujun Shen

2 August 2022 in International Journal of Plasticity
Verified
Journal Article
Closed access
TZTian-Zhang Zhao
Tian-Zhang Zhao
ZFZhi-Xian Fan
Zhi-Xian Fan
HXHong-Zhi Xie
Hong-Zhi Xie
HCHongran Chen
Hongran Chen
Shuaifeng ChenShuaifeng Chen
Shuaifeng Chen
SZShihong Zhang
Shihong Zhang

1 April 2022 in Computer Methods and Programs in Biomedicine
Verified
Journal Article
Closed access
THTao Han
Tao Han
DADanni AI
Danni AI
YWYining Wang
Yining Wang
YBYonglin Bian
Yonglin Bian
RARuirui An
Ruirui An
JYJian Yang
Jian Yang

25 May 2020 in Journal of Cellular and Molecular Medicine
Verified
Journal Article
Open access
PDF file
MNMu‐Wen Nie
Mu‐Wen Nie
YHYe‐Chen Han
Ye‐Chen Han
ZSZhu‐Jun Shen
Zhu‐Jun Shen
HXHong-Zhi Xie
Hong-Zhi Xie
Sepsis is the most common cause of death in intensive care units. This study investigated the circular RNA (circRNA) and mRNA expression profiles and functional networks of the aortic tissue in sepsis. We established a lipopolysaccharide (LPS)‐induced rat sepsis model. High‐throughput sequencing was performed on the aorta tissue to identify differentially expressed (DE) circRNAs and mRNAs, which were validated by real‐time quantitative polymerase chain reaction (RT‐qPCR). Bioinformatic analysis was carried out and coding and non‐coding co‐expression (CNC) and competing endogenous RNA (ceRNA) regulatory networks were constructed to investigate the mechanisms. In total, 373 up‐regulated and 428 down‐regulated circRNAs and 2063 up‐regulated and 2903 down‐regulated mRNAs were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of mRNAs showed that the down‐regulated genes were mainly enriched in the process of energy generation. CNC and ceRNA regulatory networks were constructed with seven DE circRNAs. The results of functional enrichment analysis of CNC target genes revealed the important role of circRNAs in inflammatory response. The ceRNA network also highlighted the significant enrichment in calcium signalling pathway. Significant alterations in circRNAs and mRNAs were observed in the aortic tissue of septic rats. In addition, CNC and ceRNA networks were established.

10 September 2021 in Aging
Verified
Journal Article
Open access
ZSZhu-Jun Shen
Zhu-Jun Shen
YHYe-Chen Han
Ye-Chen Han
MNMu-Wen Nie
Mu-Wen Nie
YWYi-Ning Wang
Yi-Ning Wang
RXRuo-Lan Xiang
Ruo-Lan Xiang
HXHong-Zhi Xie
Hong-Zhi Xie
Sepsis is the leading cause of death in hospital intensive care units. In light of recent studies showing that variations in N6-methyladenosine (m6A) levels in different RNA transcripts influence inflammatory responses, we evaluated the m6A profiles of rat aortic mRNAs and lncRNAs after lipopolysaccharide (LPS)-induced sepsis. LC-MS-based mRNA modification analysis showed that global m6A levels were significantly decreased in aortic tissue of rats injected intraperitoneally with LPS. This finding was consistent with downregulated expression of METTL3 and WTAP, two members of the m6A writer complex, in LPS-exposed aortas. Microarray analysis of m6A methylation indicated that 40 transcripts (31 mRNAs and 9 lncRNAs) were hypermethylated, while 223 transcripts (156 mRNAs and 67 lncRNAs) were hypomethylated, in aortic tissue from LPS-treated rats. On GO and KEGG analyses, ‘complement and coagulation cascades’, ‘transient receptor potential channels’, and ‘organic anion transmembrane transporter activity’ were the major biological processes modulated by the differentially m6A methylated mRNAs. In turn, competing endogenous RNA network analysis suggested that decreased m6A levels in lncRNA-XR_343955 may affect the inflammatory response through the cell adhesion molecule pathway. Our data suggest that therapeutic modulation of the cellular m6A machinery may be useful to preserve vascular integrity and function during sepsis.