Haibo Zhu

Prof. Haibo Zhu


Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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1 January 2017 in Journal of Ethnopharmacology
Verified
Journal Article
Closed access
NZNana Zhang
Nana Zhang
ZLZeqin Lian
Zeqin Lian
XPXueying Peng
Xueying Peng
LZLi Zijian
Li Zijian
HZHaibo Zhu
Haibo Zhu

13 September 2019 in Frontiers in Pharmacology
Verified
Journal Article
Open access
PDF file
FGFeng Gao
Feng Gao
YLYi-Wei Lv
Yi-Wei Lv
JLJie Long
Jie Long
JCJie-Mei Chen
Jie-Mei Chen
JHJiu-Ming He
Jiu-Ming He
HZHaibo Zhu
Haibo Zhu
Background: Metabolic syndrome (MS) is one of the major causes of coronary artery diseases (CAD). Gut microbiome diversity and its natural fermentation products are not only correlated with MS and CAD, but their correlations also appear to be stronger than the associations with traditional risk factors. Therefore, the aim of this study was to provide a new potential pathway for the natural fermentation product butyrate to improve MS and to examine whether it is associated with serum metabolic profiles and gut flora composition. Methods: C57BL/6J mice fed a high-fat diet (HFD) were treated with 400 mg/kg of sodium butyrate for 16 weeks. Blood and fecal samples were collected, and the metabolite concentrations and 16s rRNA were measured with liquid chromatography–MS and Illumina platform, respectively. The plasma differential metabolites and gut microbiome composition were analyzed with XCMS online and QIIME 2, respectively. Results: Gut microbiome-derived butyrate reduced glucose intolerance and insulin resistance, resisting HFD-induced increase in the relative abundance of f_Lachnospiraceae, f_Rikenellaceae, and f_Paraprevotellaceae. Meanwhile, sodium butyrate increased the levels of α-linolenate, all-trans-retinal, resolvin E1, and leukotriene in the plasma, and the differential pathways showed enrichment in mainly resolvin E biosynthesis, histidine degradation, lipoxin biosynthesis, and leukotriene biosynthesis. Moreover, sodium butyrate increased the levels of phosphorylated-adenosine 5′-monophosphate-activated protein kinase (p-AMPK) and facilitated glucose transporter member 4 (GLUT4) in the adipose tissue. Conclusion: Butyrate can induce AMPK activation and GLUT4 expression in the adipose tissue, improving cardiovascular disease (CVD)-related metabolic disorder, resisting HFD-induced gut microbiome dysbiosis, and promoting resolvin E1 and lipoxin biosynthesis. Oral supplement of the natural fermentation product butyrate can be a potential strategy for preventing CVD.

21 June 2022 in Journal of Advanced Research
Verified
Journal Article
Open access
CDChaoran Dong
Chaoran Dong
YYYanan Yang
Yanan Yang
YWYinghong Wang
Yinghong Wang
XHXiaomin Hu
Xiaomin Hu
QWQingchun Wang
Qingchun Wang
HZHaibo Zhu
Haibo Zhu
Acute myocardial infarction (AMI) accounts for the majority of deaths caused by coronary artery disease (CAD). Early warning of AMI, especially for patients with stable coronary artery disease (sCAD), is urgently needed. Our previous study showed that alterations in the gut microbiota were correlated with CAD severity. Herein, we tried to discover accurate and convenient biomarkers for AMI by combination of gut microbiota and fecal/blood/urinary metabolomics. We recruited 190 volunteers including 93 sCAD patients, 49 AMI patients, and 48 subjects with normal coronary artery (NCA), and measured their blood biochemical parameters, 16S rRNA-based gut microbiota and NMR-based fecal/blood/urinary metabolites. We further selected 20 subjects from each group and analyzed their gut microbiota by whole-metagenome shotgun sequencing. Multi-omic analyses revealed that AMI patients exhibited specific changes in gut microbiota and serum/urinary/fecal metabolites as compared to subjects with sCAD or NCA. Fourteen bacterial genera and 30 metabolites (11 in feces, 10 in blood, 9 in urine) were closely related to AMI phenotypes and could accurately distinguish AMI patients from sCAD patients. Some species belonging to Alistipes, Streptococcus, Ruminococcus, Lactobacillus and Faecalibacterium were effective to distinguish AMI from sCAD and their predictive ability was confirmed in an independent cohort of CAD patients. We further selected nine indicators including 4 bacterial genera, 3 fecal and 2 urinary metabolites as a noninvasive biomarker set which can distinguish AMI from sCAD with an AUC of 0.932. Combination of gut microbiota and fecal/urinary metabolites provided a set of potential useful and noninvasive predictive biomarker for AMI from sCAD.

1 August 2017 in Journal of Lipid Research
Verified
Journal Article
Open access
PDF file
AMAng Ma
Ang Ma
JWJing Wang
Jing Wang
LYLiu Yang
Liu Yang
YAYuanyuan An
Yuanyuan An
HZHaibo Zhu
Haibo Zhu
Ang Ma, Jing Wang, Liu Yang, Yuanyuan An, Haibo Zhu

1 May 2017 in Acta Pharmaceutica Sinica B
Verified
Journal Article
Open access
JLJin Li
Jin Li
LZLiping Zhong
Liping Zhong
FWFengzhong Wang
Fengzhong Wang
HZHaibo Zhu
Haibo Zhu
AMP-activated protein kinase (AMPK), known as a sensor and a master of cellular energy balance, integrates various regulatory signals including anabolic and catabolic metabolic processes. Accompanying the application of genetic methods and a plethora of AMPK agonists, rapid progress has identified AMPK as an attractive therapeutic target for several human diseases, such as cancer, type 2 diabetes, atherosclerosis, myocardial ischemia/reperfusion injury and neurodegenerative disease. The role of AMPK in metabolic and energetic modulation both at the intracellular and whole body levels has been reviewed elsewhere. In the present review, we summarize and update the paradoxical role of AMPK implicated in the diseases mentioned above and put forward the challenge encountered. Thus it will be expected to provide important clues for exploring rational methods of intervention in human diseases.

28 June 2010 in Acta Pharmacologica Sinica
Verified
Journal Article
Closed access
PDF file
TWTao Wang
Tao Wang
YLYanyong Liu
Yanyong Liu
XWXin Wang
Xin Wang
NYNan Yang
Nan Yang
HZHaibo Zhu
Haibo Zhu
PZPing-Ping Zuo
Ping-Ping Zuo