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Dive into the research topics where Fangbo Zhang is active.

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Featured researches published by Fangbo Zhang.


Evidence-based Complementary and Alternative Medicine | 2013

BNC Protects H9c2 Cardiomyoblasts from H2O2-Induced Oxidative Injury through ERK1/2 Signaling Pathway

Fangbo Zhang; Bin Huang; Ye Zhao; Shihuan Tang; Haiyu Xu; Lan Wang; Rixin Liang; Hongjun Yang

Buchang naoxintong capsule (BNC) is a traditional Chinese medicine approved for the treatment of cerebrovascular and cardiovascular diseases. However, little is known about the specific protective function or mechanism by which BNC protects against myocardial injury. This research was designed to investigate the cardioprotective effects of BNC in vitro model of hydrogen peroxide (H2O2)-induced H9c2 rat cardiomyoblasts. BNC intestinal absorption liquid was used in this study instead of drug-containing serum or extracting solution. Our study revealed that BNC preconditioning enhanced antioxidant function by increasing the activities of total-antioxygen capacity, total-superoxide dismutase, and catalase and by decreasing the production of reactive oxygen species and malondialdehyde. BNC preconditioning also activated extracellular signal-regulated kinases (ERK1/2) and inhibited apoptosis-related proteins such as poly ADP-ribose polymerase (PARP) and caspase-3. Additionally, preincubation with BNC reduced intracellular Ca2+ concentration, improved mitochondrial membrane potential, and decreased the apoptosis rate of H9c2 cells in a dose-dependent manner. These data demonstrated that BNC protects H9c2 cardiomyoblasts from H2O2-induced oxidative injury by increasing antioxidant abilities, activating ERK1/2, and blocking Ca2+-dependent and mitochondria-mediated apoptosis. Based on our results, the potency of BNC for protecting H9c2 cells from oxidative damage is comparable to that of trimetazidine.


Evidence-based Complementary and Alternative Medicine | 2013

A Computational Drug-Target Network for Yuanhu Zhitong Prescription

Haiyu Xu; Ye Tao; Peng Lu; Peng Wang; Fangbo Zhang; Yuan Yuan; Song-song Wang; Xuefeng Xiao; Hongjun Yang; Luqi Huang

Yuanhu Zhitong prescription (YZP) is a typical and relatively simple traditional Chinese medicine (TCM), widely used in the clinical treatment of headache, gastralgia, and dysmenorrhea. However, the underlying molecular mechanism of action of YZP is not clear. In this study, based on the previous chemical and metabolite analysis, a complex approach including the prediction of the structure of metabolite, high-throughput in silico screening, and network reconstruction and analysis was developed to obtain a computational drug-target network for YZP. This was followed by a functional and pathway analysis by ClueGO to determine some of the pharmacologic activities. Further, two new pharmacologic actions, antidepressant and antianxiety, of YZP were validated by animal experiments using zebrafish and mice models. The forced swimming test and the tail suspension test demonstrated that YZP at the doses of 4 mg/kg and 8 mg/kg had better antidepressive activity when compared with the control group. The anxiolytic activity experiment showed that YZP at the doses of 100 mg/L, 150 mg/L, and 200 mg/L had significant decrease in diving compared to controls. These results not only shed light on the better understanding of the molecular mechanisms of YZP for curing diseases, but also provide some evidence for exploring the classic TCM formulas for new clinical application.


Evidence-based Complementary and Alternative Medicine | 2013

A Module Analysis Approach to Investigate Molecular Mechanism of TCM Formula: A Trial on Shu-feng-jie-du Formula

Jianglong Song; Fangbo Zhang; Shihuan Tang; Xi Liu; Yibo Gao; Peng Lu; Yanping Wang; Hongjun Yang

At the molecular level, it is acknowledged that a TCM formula is often a complex system, which challenges researchers to fully understand its underlying pharmacological action. However, module detection technique developed from complex network provides new insight into systematic investigation of the mode of action of a TCM formula from the molecule perspective. We here proposed a computational approach integrating the module detection technique into a 2-class heterogeneous network (2-HN) which models the complex pharmacological system of a TCM formula. This approach takes three steps: construction of a 2-HN, identification of primary pharmacological units, and pathway analysis. We employed this approach to study Shu-feng-jie-du (SHU) formula, which aimed at discovering its molecular mechanism in defending against influenza infection. Actually, four primary pharmacological units were identified from the 2-HN for SHU formula and further analysis revealed numbers of biological pathways modulated by the four pharmacological units. 24 out of 40 enriched pathways that were ranked in top 10 corresponding to each of the four pharmacological units were found to be involved in the process of influenza infection. Therefore, this approach is capable of uncovering the mode of action underlying a TCM formula via module analysis.


Evidence-based Complementary and Alternative Medicine | 2013

A Network-Based Systematic Study for the Mechanism of the Treatment of Zhengs Related to Cough Variant Asthma

Di Chen; Fangbo Zhang; Shihuan Tang; Yan Chen; Peng Lu; Shaoxin Wen; Hongchun Zhang; Xi Liu; Enxiang Chao; Hongjun Yang

Traditional Chinese medicine (TCM) has shown significant efficacy in the treatment of cough variant asthma (CVA), a special type of asthma. However, there is shortage of explanations for relevant mechanism of treatment. As Zhengs differentiation is a critical concept in TCM, it is necessary to explain the mechanism of treatment of Zhengs. Based on TCM clinical cases, this study illustrated the mechanism of the treatment of three remarkably relevant Zhengs for CVA: “FengXieFanFei,” “FeiQiShiXuan”, and “QiDaoLuanJi.” To achieve this goal, five steps were carried out: (1) determining feature Zhengs and corresponding key herbs of CVA by analyses of clinical cases; (2) finding out potential targets of the key herbs and clustering them based on their functional annotations; (3) constructing an ingredient-herb network and an ingredient network; (4) identifying modules of the ingredient network; (5) illustrating the mechanism of the treatment by further mining the latent biological implications within each module. The systematic study reveals that the treatment of “FengXieFanFei,” “FeiQiShiXuan,” and “QiDaoLuanJi” has effects on the regulation of multiple bioprocesses by herbs containing different ingredients with functions of steroid metabolism regulation, airway inflammation, and ion conduction and transportation. This network-based systematic study will be a good way to boost the scientific understanding of mechanism of the treatment of Zhengs.


Phytomedicine | 2018

Identifying potential quality markers of Xin-Su-Ning capsules acting on arrhythmia by integrating UHPLC-LTQ-Orbitrap, ADME prediction and network target analysis

Rui Guo; Xiaoxiao Zhang; Jin Su; Fangbo Zhang; Defeng Li; Yi Zhang; Xuefeng Xiao; Shuangcheng Ma; Yanqiong Zhang; Haiyu Xu; Hongjun Yang

BACKGROUND Quality marker (Q-markers) has been proposed as a novel concept for quality evaluation and standard elaboration of traditional Chinese medicine (TCM). Xin-Su-Ning capsule (XSNC) has been extensively used for the treatment of arrhythmia with the satisfactory therapeutic effects in clinics. However, it is lack of reliable and effective Q-markers of this prescription. PURPOSE To identify potential Q-markers of XSNC against arrhythmia. STUDY DESIGN An integrative pharmacology-based investigation was performed. METHODS Ultra-high-pressure liquid chromatography coupled with linear ion trap-Orbitrap tandem mass spectrometry (UHPLC-LTQ-Orbitrap) was performed to identify the preliminary chemical profile of XSNC in a rapid and high-throughput manner. Then, in silico Absorption-Distribution-Metabolism-Excretion (ADME) models were utilized to screen candidate active chemical compounds characterized by drug-likeness features. In addition, drug target-disease gene interaction network was constructed, and network features were calculated to identify key candidate targets and the potential Q-markers of XSNC against arrhythmia. RESULTS A total of 41 chemical compounds with good drug-likeness and more chances to be absorbed into body were identified as the candidate bioactive chemical compounds which might offer contributions to the therapeutic effects of XSNC against arrhythmia in vivo. Following the prediction of 921 XSNC putative targets and the construction of XSNC putative target-known therapeutic target of arrhythmia interaction network, 315 hub nodes with high connectivity were selected. Functionally, the hub nodes were involved into modulation of cardiac sympatho-vagal balance, regulation of energy production and metabolism, as well as angiogenesis and vascular circulation during the development and progression of arrhythmia. Moreover, 63 major hubs with network topological importance were chosen as XSNC candidate targets against arrhythmia. Furthermore, berberine, palmatine, scopoletin, liquiritigenin, naringenin, formononetin, nobiletin, tangeretin, 5-demethylnobiletin, kushenol E and kurarinone hitting the corresponding XSNC candidate targets were screened out to be the potential Q-markers of XSNC against arrhythmia. CONCLUSION Our integrative pharmacology-based approach combining UHPLC-LTQ-Orbitrap, in silico ADME prediction and network target analysis may be efficient to identify potential Q-markers of TCM prescriptions. Our data showed that berberine, palmatine, scopoletin, liquiritigenin, naringenin, formononetin, nobiletin, tangeretin, 5-demethylnobiletin, kushenol E and kurarinone might function as candidate markers for qualitative evaluation of XSNC.


Scientific Reports | 2018

Author Correction: Screening and identification of critical transcription factors involved in the protection of cardiomyocytes against hydrogen peroxide-induced damage by Yixin-shu

Jingjing Zhang; Ya Geng; Feifei Guo; Fangbo Zhang; Mingwei Liu; Lei Song; Yuexiang Ma; Defeng Li; Yi Zhang; Haiyu Xu; Hongjun Yang

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.


Evidence-based Complementary and Alternative Medicine | 2018

Effects of Huanglian Jiedu Decoration in Rat Gingivitis

Fangbo Zhang; Ya Geng; Haiyu Zhao; Hongjie Wang; Yi Zhang; Defeng Li; Baolin Bian; Hongjun Yang

Gingivitis is an inflammatory disease that affects gingival tissues through a microbe-immune interaction. Huanglian Jiedu decoction (HLJD) is used traditionally for clearing and detoxifying in China, which had been reported to possess many pharmacological effects. Rat gingival inflammation model was established by lipopolysaccharide (LPS) injection for 3 consecutive days, and HLJD was given by gavage before LPS injection. After 3 days rats were sacrificed and tissue samples were evaluated. Serum cytokine levels such as interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were measured by enzyme-linked immunoabsorbent assay (ELISA). Oxidative stress related molecules such as total antioxidant capacity (T-AOC), malondialdehyde (MDA), and reactive oxygen species (ROS) were determined. Expression of AMP-activated protein kinase (AMPK) and extracellular signal-regulated kinases 1/2 (ERK1/2) signaling pathway were inspected by western blotting. Histological changes of gingival tissues were tested with hematoxylin-eosin (HE) staining. HLJD significantly decreased serum levels of IL-6 and TNF-α, suppressed generation of MDA and ROS, and enhanced T-AOC creation. Moreover, HLJD inhibited expressions of AMPK and ERK1/2. The inflammation severity of gingival tissue by HE staining was severe in model group but relieved in HLJD group obviously. HLJD exhibited protective effects against gingival damage through suppressing inflammation reaction and elevating antioxidation power.


Scientific Reports | 2017

Screening and identification of critical transcription factors involved in the protection of cardiomyocytes against hydrogen peroxide-induced damage by Yixin-shu

Jingjing Zhang; Ya Geng; Feifei Guo; Fangbo Zhang; Mingwei Liu; Lei Song; Yuexiang Ma; Defeng Li; Yi Zhang; Haiyu Xu; Hongjun Yang

Oxidative stress initiates harmful cellular responses, such as DNA damage and protein denaturation, triggering a series of cardiovascular disorders. Systematic investigations of the transcription factors (TFs) involved in oxidative stress can help reveal the underlying molecular mechanisms and facilitate the discovery of effective therapeutic targets in related diseases. In this study, an integrated strategy which integrated RNA-seq-based transcriptomics techniques and a newly developed concatenated tandem array of consensus TF response elements (catTFREs)-based proteomics approach and then combined with a network pharmacology analysis, was developed and this integrated strategy was used to investigate critical TFs in the protection of Yixin-shu (YXS), a standardized medical product used for ischaemic heart disease, against hydrogen peroxide (H2O2)-induced damage in cardiomyocytes. Importantly, YXS initiated biological process such as anti-apoptosis and DNA repair to protect cardiomyocytes from H2O2-induced damage. By using the integrated strategy, DNA-(apurinic or apyrimidinic site) lyase (Apex1), pre B-cell leukemia transcription factor 3 (Pbx3), and five other TFs with their functions involved in anti-oxidation, anti-apoptosis and DNA repair were identified. This study offers a new understanding of the mechanism underlying YXS-mediated protection against H2O2-induced oxidative stress in cardiomyocytes and reveals novel targets for oxidative stress-related diseases.


Journal of Proteome Research | 2014

Proteomic investigation of signatures for geniposide-induced hepatotoxicity.

Junying Wei; Fangbo Zhang; Yi Zhang; Chunyu Cao; Xianyu Li; Defeng Li; Xin Liu; Hongjun Yang; Luqi Huang


Acta Pharmacologica Sinica | 2015

Deciphering the pharmacological mechanism of the Chinese formula huanglian-jie-du decoction in the treatment of ischemic stroke using a systems biology-based strategy.

Yanqiong Zhang; Song-song Wang; Wei-liang Zhu; Yan Ma; Fangbo Zhang; Rixin Liang; Haiyu Xu; Hongjun Yang

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Peng Lu

Chinese Academy of Sciences

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Ya Geng

Shandong University of Traditional Chinese Medicine

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Xi Liu

Chinese Academy of Sciences

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Xuefeng Xiao

Tianjin University of Traditional Chinese Medicine

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Yuexiang Ma

Shandong University of Traditional Chinese Medicine

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Di Chen

Chinese Academy of Sciences

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Jianglong Song

Chinese Academy of Sciences

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Rui Guo

Tianjin University of Traditional Chinese Medicine

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