Pengqian Wang

Evaluating the effects of Danhong injection in treatment of acute ischemic stroke: study protocol for a multicenter randomized controlled trial

BackgroundDanhong injection (DHI) has been widely prescribed to patients with acute ischemic stroke (AIS). However, due to methodological deficiencies, previous research has not yet provided rigorous evidence to support the use of DHI in the treatment of AIS. Therefore, we designed this multicenter, randomized, controlled, and double-blind trial to evaluate the efficacy and safety of DHI for AIS.Methods/DesignIt is a randomized, multicenter, double-blind, placebo-controlled, adaptive clinical trial. A total of 864 eligible patients will be randomized into either the DHI or placebo group in a 2:1 ratio. All patients will be given the standard medical care as recommended by guidelines. Participants will undergo a 2-week treatment regimen and 76-day follow-up period. The primary outcome is the proportion of patients with a favorable outcome, defined as a score of 0–1 on the modified Rankin scale at day 90. Secondary outcomes include a change in the total score of the Chinese medicine symptom scales of “Xueyu Zheng” (blood stasis syndrome), the proportion of patients with a Barthel Index score of ≥90, the proportion of patients with an improvement in NIHSS score of ≥4 or NIHSS score of 0–1, quality of life measured by the EQ-5D scale, etc. Safety outcomes such as global disability (mRS ≥3) at day 90 will also be assessed. The changes in mRNA and microRNA profiles in 96 patients selected from certain centers will also be assessed. As this is an adaptive design, two interim analyses are prospectively planned, which will be carried out after one-third and two-thirds of patients have completed the trial, respectively. Based on the results of the interim analyses, the Data Monitoring Committee (DMC) will decide how to modify the study.DiscussionThis trial will provide high-quality evidence for DHI in treatment of AIS.Trial registrationClinical Trials.gov NCT01677208 (Date of registration 22 December 2012).

Phenotype-dependent alteration of pathways and networks reveals a pure synergistic mechanism for compounds treating mouse cerebral ischemia.

Aim:Our previous studies have showed that ursodeoxycholic acid (UA) and jasminoidin (JA) effectively reduce cerebral infarct volume in mice. In this study we explored the pure synergistic mechanism of these compounds in treatment of mouse cerebral ischemia, which was defined as synergistic actions specific for phenotype variations after excluding interference from ineffective compounds.Methods:Mice with focal cerebral ischemia were treated with UA, JA or a combination JA and UA (JU). Concha margaritifera (CM) was taken as ineffective compound. Cerebral infarct volume of the mice was determined, and the hippocampi were taken for microarray analysis. Particular signaling pathways and biological functions were enriched based on differentially expressed genes, and corresponding networks were constructed through Ingenuity Pathway Analysis.Results:In phenotype analysis, UA, JA, and JU significantly reduced the ischemic infarct volume with JU being superior to UA or JA alone, while CM was ineffective. As a result, 4 pathways enriched in CM were excluded. Core pathways in the phenotype-positive groups (UA or JA) were involved in neuronal homeostasis and neuropathology. JU-contributing pathways included all UA-contributing and the majority (71.7%) of JA-contributing pathways, and 10 new core pathways whose effects included inflammatory immunity, apoptosis and nervous system development. The functions of JU group included all functions of JA group, the majority (93.1%) of UA-contributing functions, and 3 new core functions, which focused on physiological system development and function.Conclusion:The pure synergism between UA and JA underlies 10 new core pathways and 3 new core functions, which are involved in inflammation, immune responses, apoptosis and nervous system development.

Variation of pathways and network profiles reveals the differential pharmacological mechanisms of each effective component to treat middle cerebral artery ischemia-reperfusion mice.

Using a system pharmacology strategy, this study evaluated the unique pharmacological characteristics of three different neuroprotective compounds for the treatment of cerebral ischemia-reperfusion. A microarray including 374 brain ischemia-related genes was used to identify the differentially expressed genes among five treatment groups: baicalin, jasminoidin, ursodeoxycholic acid, sham, and vehicle, and MetaCore analysis software was applied to identify the significantly altered pathways, processes and interaction network parameters. At pathway level, 46, 25, and 31 pathways were activated in the baicalin, jasminoidin, and ursodeoxycholic acid groups, respectively. Thirteen pathways mainly related with apoptosis and development were commonly altered in the three groups. Additionally, baicalin also targeted pathways related with development, neurophysiologic process and cytoskeleton remodeling, while jasminoidin targeted pathways related with cell cycle and ursodeoxycholic acid targeted those related with apoptosis and development. At process level, three processes were commonly regulated by the three groups in the top 10 processes. Further interaction network analysis revealed that baicalin, jasminoidin, and ursodeoxycholic acid displayed unique features either on network topological parameters or network structure. Additional overlapping analysis demonstrated that compared with ursodeoxycholic acid, the pharmacological mechanism of baicalin was more similar with that of jasminoidin in treating brain ischemia. The data presented in this study may contribute toward the understanding of the common and differential pharmacological mechanisms of these three compounds.

Quantitative assessment of gene expression network module-validation methods.

Validation of pluripotent modules in diverse networks holds enormous potential for systems biology and network pharmacology. An arising challenge is how to assess the accuracy of discovering all potential modules from multi-omic networks and validating their architectural characteristics based on innovative computational methods beyond function enrichment and biological validation. To display the framework progress in this domain, we systematically divided the existing Computational Validation Approaches based on Modular Architecture (CVAMA) into topology-based approaches (TBA) and statistics-based approaches (SBA). We compared the available module validation methods based on 11 gene expression datasets, and partially consistent results in the form of homogeneous models were obtained with each individual approach, whereas discrepant contradictory results were found between TBA and SBA. The TBA of the Zsummary value had a higher Validation Success Ratio (VSR) (51%) and a higher Fluctuation Ratio (FR) (80.92%), whereas the SBA of the approximately unbiased (AU) p-value had a lower VSR (12.3%) and a lower FR (45.84%). The Gray area simulated study revealed a consistent result for these two models and indicated a lower Variation Ratio (VR) (8.10%) of TBA at 6 simulated levels. Despite facing many novel challenges and evidence limitations, CVAMA may offer novel insights into modular networks.

Entropy-based divergent and convergent modular pattern reveals additive and synergistic anticerebral ischemia mechanisms

Module-based network analysis of diverse pharmacological mechanisms is critical to systematically understand combination therapies and disease outcomes. We first constructed drug-target ischemic networks in baicalin, jasminoidin, ursodeoxycholic acid, and their combinations baicalin and jasminoidin as well as jasminoidin and ursodeoxycholic acid groups and identified modules using the entropy-based clustering algorithm. The modules 11, 7, 4, 8 and 3 were identified as baicalin, jasminoidin, ursodeoxycholic acid, baicalin and jasminoidin and jasminoidin and ursodeoxycholic acid-emerged responsive modules, while 12, 8, 15, 17 and 9 were identified as disappeared responsive modules based on variation of topological similarity, respectively. No overlapping differential biological processes were enriched between baicalin and jasminoidin and jasminoidin and ursodeoxycholic acid pure emerged responsive modules, but two were enriched by their co-disappeared responsive modules including nucleotide-excision repair and epithelial structure maintenance. We found an additive effect of baicalin and jasminoidin in a divergent pattern and a synergistic effect of jasminoidin and ursodeoxycholic acid in a convergent pattern on “central hit strategy” of regulating inflammation against cerebral ischemia. The proposed module-based approach may provide us a holistic view to understand multiple pharmacological mechanisms associated with differential phenotypes from the standpoint of modular pharmacology.

Different network pharmacology mechanisms of Danshen-based Fangjis in the treatment of stable angina

Danshen (Salvia miltiorrhiza) preparations such as Danhong injection, Danshen injection, Salvianolate injection, compound Danshen injection and Sodium Tanshinone IIA Sulfonate (STS) injection are widely used in China to treat stable angina (angina pectoris) caused by coronary heart disease. In this study we compared the network pharmacological mechanisms of the 5 Danshen preparations. Following a literature search performed in PubMed, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI) database, China Biology Medicine (CBM) database, China Conference Paper Database, Wanfang Database, VIP Database and Conference Proceedings Citation Index (through January 2015), 444 randomized controlled trial publications detailing the use of the 5 Danshen-based injections for treating stable angina were identified, and their combined data were analyzed using a network meta-analysis. All of the 5 Danshen-based preparations were effective in treating stable angina with clinical improvement rates of 72.4%–91.6% and electrocardiogram (ECG) improvement rates of 54.5%–71.6%. According to both clinical improvement and ECG improvement, the 5 Danshen-based preparations were ranked as follows: Danhong injection > Salvianolate injection > STS injection > compound Danshen injection > Danshen injection. There were no significant differences among the safety profiles of the 5 Danshen preparations. The meta-analysis results were further examined using a network pharmacology approach and functional enrichment analysis, which revealed that Danshen and Danhong injections affected 4 and 15 signaling pathways, respectively, and that the 4 signaling pathways affected by Danshen were a subset of those influenced by Danhong. Therefore, Danhong injection affected some unique signaling pathways that might regulate lipoprotein metabolism, oxidation, and inflammation, and protect vascular endothelia, reflecting the multi-component and multi-target characteristics of this traditional formula and its strengths in treating complex diseases.

Pure mechanistic analysis of additive neuroprotective effects between baicalin and jasminoidin in ischemic stroke mice

Both baicalin (BA) and jasminoidin (JA) are active ingredients in Chinese herb medicine Scutellaria baicalensis and Fructus gardeniae, respectively. They have been shown to exert additive neuroprotective action in ischemic stroke models. In this study we used transcriptome analysis to explore the pure therapeutic mechanisms of BA, JA and their combination (BJ) contributing to phenotype variation and reversal of pathological processes. Mice with middle cerebral artery obstruction were treated with BA, JA, their combination (BJ), or concha margaritifera (CM). Cerebral infarct volume was examined to determine the effect of these compounds on phenotype. Using the hippocampus microarray and ingenuity pathway analysis (IPA) software, we exacted the differentially expressed genes, networks, pathways, and functions in positive-phenotype groups (BA, JA and BJ) by comparing with the negative-phenotype group (CM). In the BA, JA, and BJ groups, a total of 7, 4, and 11 specific target molecules, 1, 1, and 4 networks, 51, 59, and 18 canonical pathways and 70, 53, and 64 biological functions, respectively, were identified. Pure therapeutic mechanisms of BA and JA were mainly overlapped in specific target molecules, functions and pathways, which were related to the nervous system, inflammation and immune response. The specific mechanisms of BA and JA were associated with apoptosis and cancer-related signaling and endocrine and hormone regulation, respectively. In the BJ group, novel target profiles distinct from mono-therapies were revealed, including 11 specific target molecules, 10 functions, and 10 pathways, the majority of which were related to a virus-mediated immune response. The pure additive effects between BA and JA were based on enhanced action in virus-mediated immune response. This pure mechanistic analysis may provide a clearer outline of the target profiles of multi-target compounds and combination therapies.

Deciphering the genetic and modular connections between coronary heart disease, idiopathic pulmonary arterial hypertension and pulmonary heart disease

Coronary heart disease (CHD), idiopathic pulmonary arterial hypertension (IPAH) and pulmonary heart disease (PHD) are circulatory system diseases that may simultaneously emerge in a patient and they are often treated together in clinical practice. However, the molecular mechanisms connecting these three diseases remain unclear. In order to determine the multidimensional characteristic correlations between these three diseases based on genomic networks to aid in medical decision-making, genes from the Online Mendelian Inheritance in Man database were obtained, and applied network construction and modularized analysis were conducted. Functional enrichment analysis was conducted to explore the associations between overlapping genes, modules and pathways. A total of 29 overlapping genes and 3 common modules were identifed for the 3 diseases. Glycosphingolipid biosynthesis and the arachidonic acid metabolism are common pathways, and the biosynthetic process is suggested to be the major function involved in the three diseases. The current study reported, to the best of our knowledge for the first time, the role of glycosphingolipid biosynthesis in IPAH and PHD. The present study provided an improved understanding of the pathological mechanisms underlying CHD, IPAH and PHD. The overlapping genes, modules and pathways suggest novel areas for further research, and drug targets. The observations of the current study additionally suggest that drug indications can be broadened because of the presence of common targets.

Dose-dependent target diversion of Danhong injection on the Glu-GLT-1/Gly-GlyRα dynamic balance module of cerebral ischemia

ABSTRACT Function‐oriented modular structure analysis is a great challenge in module‐based pharmacological studies. A strategy to uncover target‐target interaction (TTI) and dynamic balance regularity (DBR) was established to discover the structural factors influencing modular functions and explore the mechanism of Danhong injection (DHI) in treating cerebral ischemia. The dose‐related metabolic features of DHI intervention were investigated using metabolomics and modular pharmacology. The findings indicated that Glu/Gly was a biomarker and Glu‐GLT‐1/Gly‐GlyR&agr; was the core unit regulated by DHI. Gly and Glu displayed opposite patterns and functional roles, representing intra‐modular balance. GlyR&agr; was identified as the upstream target and GLT‐1 as the downstream target by inhibiting or activating GlyR&agr;, indicating that DHI has two dose‐dependent regulatory modes. GlyR&agr; was the major target at low doses, while GLT‐1 was activated as the dominant target as doses accumulated. Our study reveals that target‐target interaction and dynamic balance regularity are the key factors influencing modular functions, which is a promising breakthrough for module‐based pharmacological studies.

Network‐Wide Screen Identifies Variation of Novel Precise On‐Module Targets Using Conformational Modudaoism

Modular targeting is promising in drug research at the network level, but it is challenging to quantificationally identify the precise on‐modules. Based on a proposed Modudaoism (MD), we defined conserved MD (MDc) and varied MD (MDv) to quantitatively evaluate the conformational and energy variations of modules, and thereby identify the conserved and discrepant allosteric modules (AMs). Compared to the Zsummary, MDc/MDv got an optimized result of module preserved ratio and modular structure. In the mice anti‐ischemic networks, 3, 5, and 1 conserved AMs as well as 4, 1, and 3 on‐modules of baicalin (BA), jasminoidin (JA), and ursodeoxycholic acid (UA) were identified by MDc and MDv, 5 unique AMs and their characteristic actions were revealed. Besides, co‐immunoprecipitation (Co‐IP) experiments validated the representative modular structure. MDc/MDv method can quantitatively define the conformational variations of modules and screen the precise on‐modules network‐wide, which may provide a promising strategy for drug discovery.