Jun Hou

Jun Hou


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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21 February 2024 in BMC Cardiovascular Disorders
Verified
Journal Article
Open access
PDF file
HGHan Gao
Han Gao
SLSong Liu
Song Liu
SQShanshan Qin
Shanshan Qin
JYJiali Yang
Jiali Yang
TYTian Yue
Tian Yue
DDDanzeng Dunzhu
Danzeng Dunzhu
Introduction: This study evaluates the effectiveness of a combined regimen involving injectable hydrogels for the treatment of experimental myocardial infarction. Patient concerns: Myocardial infarction is an acute illness that negatively affects quality of life and increases mortality rates. Experimental models of myocardial infarction can aid in disease research by allowing for the development of therapies that effectively manage disease progression and promote tissue repair. Diagnosis: Experimental animal models of myocardial infarction were established using the ligation method on the anterior descending branch of the left coronary artery (LAD). Interventions: The efficacy of intracardiac injection of hydrogels, combined with cells, drugs, cytokines, extracellular vesicles, or nucleic acid therapies, was evaluated to assess the functional and morphological improvements in the post-infarction heart achieved through the combined hydrogel regimen. Outcomes: A literature review was conducted using PubMed, Web of Science, Scopus, and Cochrane databases. A total of 83 papers, including studies on 1332 experimental animals (rats, mice, rabbits, sheep, and pigs), were included in the meta-analysis based on the inclusion and exclusion criteria. The overall effect size observed in the group receiving combined hydrogel therapy, compared to the group receiving hydrogel treatment alone, resulted in an ejection fraction (EF) improvement of 8.87% [95% confidence interval (CI): 7.53, 10.21] and a fractional shortening (FS) improvement of 6.31% [95% CI: 5.94, 6.67] in rat models, while in mice models, the improvements were 16.45% [95% CI: 11.29, 21.61] for EF and 5.68% [95% CI: 5.15, 6.22] for FS. The most significant improvements in EF (rats: MD = 9.63% [95% CI: 4.02, 15.23]; mice: MD = 23.93% [95% CI: 17.52, 30.84]) and FS (rats: MD = 8.55% [95% CI: 2.54, 14.56]; mice: MD = 5.68% [95% CI: 5.15, 6.22]) were observed when extracellular vesicle therapy was used. Although there have been significant results in large animal experiments, the number of studies conducted in this area is limited. Conclusion: The present study demonstrates that combining hydrogel with other therapies effectively improves heart function and morphology. Further preclinical research using large animal models is necessary for additional study and validation. Graphical

26 November 2021 in iScience
Verified
Journal Article
Open access
WXWenjing Xiao
Wenjing Xiao
DZDezhi Zheng
Dezhi Zheng
XCXin Chen
Xin Chen
BYBotao Yu
Botao Yu
KDKaiwen Deng
Kaiwen Deng
JHJun Hou
Jun Hou
Diabetic cardiomyopathy (DCM) is one of the most common complications of diabetes without effective treatment options. Its pathogenesis is complex and remains unclear. Long non-coding RNA (lncRNA) MIAT allele has been reported to be enriched in DCM patients and activate a pyroptosis program in hypoxia-induced H9c2 cells. Thus, whether MIAT played a role in DCM pyroptosis remains to be clarified. In the study, the expression of MIAT was found elevated in the serum of diabetic patients, as well as in high-glucose induced cardiomyocytes and diabetic mice. Further, the expression levels of CASP1 and pyroptosis correlation factors (IL-1 and IL-18) were downregulated after silencing MIAT. Through modeling and validation experiments, we then confirmed that the MIAT-miR-214-3p-CASP1 axis serves as an essential point in pyroptosis of DCM mice. These results suggested that silencing MIAT would be a potential treatment strategy for DCM.

17 September 2021 in Frontiers in Pharmacology
Verified
Journal Article
Open access
WXWenjing Xiao
Wenjing Xiao
QZQiaodan Zhou
Qiaodan Zhou
XWXudong Wen
Xudong Wen
RWRui Wang
Rui Wang
RLRuijie Liu
Ruijie Liu
JHJun Hou
Jun Hou
Cancer treatment is a significant challenge for the global health system, although various pharmacological and therapeutic discoveries have been made. It has been widely established that cancer is associated with epigenetic modification, which is reversible and becomes an attractive target for drug development. Adding chemical groups to the DNA backbone and modifying histone proteins impart distinct characteristics on chromatin architecture. This process is mediated by various enzymes modifying chromatin structures to achieve the diversity of epigenetic space and the intricacy in gene expression files. After decades of effort, epigenetic modification has represented the hallmarks of different cancer types, and the enzymes involved in this process have provided novel targets for antitumor therapy development. Epigenetic drugs show significant effects on both preclinical and clinical studies in which the target development and research offer a promising direction for cancer therapy. Here, we summarize the different types of epigenetic enzymes which target corresponding protein domains, emphasize DNA methylation, histone modifications, and microRNA-mediated cooperation with epigenetic modification, and highlight recent achievements in developing targets for epigenetic inhibitor therapy. This article reviews current anticancer small-molecule inhibitors targeting epigenetic modified enzymes and displays their performances in different stages of clinical trials. Future studies are further needed to address their off-target effects and cytotoxicity to improve their clinical translation.

1 March 2021 in European Journal of Medicinal Chemistry
Verified
Journal Article
Closed access
QLQi Liang
Qi Liang
JWJuelan Wang
Juelan Wang
LZLiyun Zhao
Liyun Zhao
JHJun Hou
Jun Hou
YHYonghe Hu
Yonghe Hu
JSJianyou Shi
Jianyou Shi

5 March 2023 in Diabetes Research and Clinical Practice
Verified
Journal Article
Closed access
PDF file
SXShiqiang Xiong
Shiqiang Xiong
YLYan Luo
Yan Luo
QCQiang Chen
Qiang Chen
YCYingzhong Chen
Yingzhong Chen
HSHong Su
Hong Su
LCLin Cai
Lin Cai

1 January 2021
Verified
Closed access
WXWenjing Xiao
Wenjing Xiao
XCXin Chen
Xin Chen
XLXia Li
Xia Li
KDKaiwen Deng
Kaiwen Deng
HLHuawei Liu
Huawei Liu
JHJun Hou
Jun Hou