Discovery of natural multi-targets neuraminidase inhibitor glycosides compounds against influenza A virus through network pharmacology, virtual screening, molecular dynamics simulation, and in vitro experiment.

Influenza virus continually challenges both human and animal health. Moreover, influenza viruses are easy to mutate. In a certain degree, vaccines may not catch up with rapid mutant paces of viruses. Anti-influenza drugs NIs (neuraminidase inhibitors) are one of the best choices. Therefore, based on ADMET properties, eight optimal natural multi-targets NIs glycosides compounds (IC50 = 0.094-97.275 µM) are found from radix glycyrrhizae, flos sophorae, caulis spatholobi, radix astragali, radix glycyrrhizae, semen astragali complanati, and common fenugreek seed through network pharmacology, molecular docking, dynamics simulation, quantum chemistry, and in vitro experiment. Moreover, mechanism research illustrates these natural compounds treat influenza A virus through key targets TLR4, TNF, and IL6 (high fever, acute respiratory distress syndrome), MAPK1, and MAPK3 (MAPK signaling pathway, viral RNP export, and viral protein expression), IL1B (NOD-like receptor signaling pathway, suppressed maturation of pro-IL-1ß and pro-IL-18), CASP3 (apoptosis), AKT1 (inhibited premature apoptosis), and EP300 (viral myocarditis, chemoattraction of monocytes and macrophages, T-cell activation antibody response).

Challenges and opportunities for improving the druggability of natural product: Why need drug delivery system?

Bioactive natural products (BNPs) are the marrow of medicinal plants, which are the secondary metabolites of organisms and have been the most famous drug discovery database. Bioactive natural products are famous for their enormous number and great safety in medical applications. However, BNPs are troubled by their poor druggability compared with synthesis drugs and are challenged as medicine (only a few BNPs are applied in clinical settings). In order to find a reasonable solution to improving the druggability of BNPs, this review summarizes their bioactive nature based on the enormous pharmacological research and tries to explain the reasons for the poor druggability of BNPs. And then focused on the boosting research on BNPs loaded drug delivery systems, this review further concludes the advantages of drug delivery systems on the druggability improvement of BNPs from the perspective of their bioactive nature, discusses why BNPs need drug delivery systems, and predicts the next direction.

Hypoglycemic and hypolipidemic dual activities of extracts and flavonoids from Desmodium caudatum and an efficient synthesis of the most potent 8-prenylquercetin.

Since glucolipid metabolism disorders is often the mono-target therapy fails in managing blood glucose and lipid levels and the other complications, it is urgent and necessary to seek for the new potential drugs or functional food acting on multi-targets. The hypoglycemic and hypolipidemic dual activities of the root, stems and leaves of Desmodium caudatum, which is used for traditional Chinese medicine, was evaluated. Twelve extracts with different extraction conditions were prepared and extract 9 was find to exhibit potential inhibitory activities of fructose-1, 6-bisphosphatase (FBPase), α-glucosidase, and pancrelipase, as well as promote cellular glucose consumption and reduce cellular content of lipid. Five flavonoids were isolated and identified from extract 9, among which 8-prenylquercetin exhibited potent α-glucosidase (IC50 = 4.38 µM) and FBPase (IC50 = 3.62 µM) dual inhibitory activity, which were 75-fold higher than acarbose (IC50 = 330.10 µM) and comparable with AMP (IC50 = 2.92 µM). In addition, 8-prenylquercetin was able to promote glucose consumption and reduce lipid content. Besides, an efficient synthesis of the most potent 8-prenylquercetin was developed from inexpensive and commercially available rutin in 21% overall yield by 6 steps, which lay the foundation of preparation sufficient amount for follow-up study.

Network Pharmacology-Based Analysis of Pogostemon cablin (Blanco) Benth Beneficial Effects to Alleviate Nonalcoholic Fatty Liver Disease in Mice.

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease and is associated with high morbidity and mortality. Pogostemon cablin (Blanco) Benth/Huo Xiang (HX) is a perennial herb with unique anti-oxidant and anti-inflammatory properties, and thus, can positively affect liver function. In this study, we used network pharmacology to predict the potential mechanism of HX on NAFLD. Pharmacological experiments were used to verify the effect of HX on the functions of NAFLD. Network pharmacology identified nine components that interacted with 82 NAFLD-related targets, revealing four target genes: TNF, IL6, TP53, and AKT1. HX prevents the development and progression of NAFLD through different pathways and targets with quercetin-regulated lipid metabolism, anti-inflammatory, and anti-oxidant pathways playing an essential role in the treatment of NAFLD. Compared with feeding HFD, HX significantly attenuated lipid accumulation in vivo with mice and also in vitro with mouse liver cells. A high dose of HX decreased hepatocyte lipid accumulation and the abundance of SREBF1 and FASN. Validation experiments revealed that HX inhibited the activation of NF-κB/IκB signaling and decreased the release and levels of pro-inflammatory factors (TNF-α and IL-6). These data suggest that HX can attenuate abnormal lipid metabolic responses and enhance antioxidant mechanisms. Thus, the pharmacological effects from plants used in traditional Chinese medicine are achievde through a multi-level response.

Cluster Analysis of Medicinal Plants and Targets Based on Multipartite Network.

Network-based methods for the analysis of drug-target interactions have gained attention and rely on the paradigm that a single drug can act on multiple targets rather than a single target. In this study, we have presented a novel approach to analyze the interactions between the chemicals in the medicinal plants and multiple targets based on the complex multipartite network of the medicinal plants, multi-chemicals, and multiple targets. The multipartite network was constructed via the conjunction of two relationships: chemicals in plants and the biological actions of those chemicals on the targets. In doing so, we introduced an index of the efficacy of chemicals in a plant on a protein target of interest, called target potency score (TPS). We showed that the analysis can identify specific chemical profiles from each group of plants, which can then be employed for discovering new alternative therapeutic agents. Furthermore, specific clusters of plants and chemicals acting on specific targets were retrieved using TPS that suggested potential drug candidates with high probability of clinical success. We expect that this approach may open a way to predict the biological functions of multi-chemicals and multi-plants on the targets of interest and enable repositioning of the plants and chemicals.

Systems pharmacology dissection of action mechanisms of Dipsaci Radix for osteoporosis.

AIMS: Osteoporosis (OP) is a systemic metabolic bone disease characterized by bone mass decrease and microstructural degradation, which may increase the risk of bone fracture and leading to high morbidity. Dipsaci Radix (DR), one typical traditional Chinese medicine (TCM), which has been applied in the treatment of OP with good therapeutic effects and few side effects. However, the underlying molecular mechanisms of DR to treat OP have not been fully elucidated. In this study, we aim to dissect the molecular mechanism of DR in the treatment of OP. MATERIALS AND METHODS: A systems pharmacology approach was employed to comprehensively dissect the action mechanisms of DR for the treatment of OP. KEY FINDINGS: 10 compounds were screened out as the potential active ingredients with excellent biological activity based on in silico ADME (absorption, distribution, metabolism and excretion) prediction model. Then, 36 key protein targets of 6 compounds were identified by systems drug targeting model (SysDT) and they were involved in several biological processes, such as osteoclast differentiation, osteoblast differentiation and anti-inflammation. The target-pathway network indicated that targets are mainly mapped in multiple signaling pathways, i.e., MAPK, Tumor necrosis factor α (TNF-α), NF-κb and Toll-like receptor pathways. The in vitro results indicated that the compounds ursolic acid and beta-sitosterol effectively inhibited the osteoclast differentiation. SIGNIFICANCE: These results systematically dissected that DR exhibits the therapeutic effects of OP by the regulation of immune system-related pathways, which provide novel perspective to drug development of OP.

Multi-Targeting Andrographolide, a Novel NF-κB Inhibitor, as a Potential Therapeutic Agent for Stroke.

A key focus in the field of drug discovery has been motivated by the neuroprotection of natural compounds. Cerebral ischemia is a multifaceted pathological process with a series of mechanisms, and a perspective for the development of neuroprotectants from traditional herbal medicine or natural products is a promising treatment for this disease. Natural compounds with the effects of anti-oxidation, anti-inflammation, anti-apoptosis, and neurofunctional regulation exhibit therapeutic effects on experimental ischemic brain injury. Conferring to the pharmacological mechanisms underlying neuroprotection, a study found that androgapholide, a diterpene lactone compound, exhibits varying degrees of neuroprotective activities in both in vitro and in vivo experimental models of stroke. The neuroprotective mechanisms of andrographolide are suggested as: (I) increasing nuclear factor E2-related factor 2-heme oxygenase (Nrf2-HO-1) expression through p38-mitogen activated protein kinase (MAPK) regulation, (II) inducing cerebral endothelial cells (CEC) apoptosis and caspase-3 activation, (III) down regulating Bax, inducible nitric oxide synthase (iNOS), and (IV) inhibiting hydroxyl radical (OH-) formation, and activating transcription factor NF-κB signaling pathways. Recently, several researchers have also been trying to unveil the principal mechanisms involved in the neuroprotective effects of andrographolide. Therefore, this review aims to summarize an overview on the neuroprotective effects of andrographolide and exemplifies the essential mechanisms involved. This paper can provide information that andrographolide drug discovery may be a promising strategy for the development of a novel class of neuroprotective drug.

The multi-targets integrated fingerprinting for screening anti-diabetic compounds from a Chinese medicine Jinqi Jiangtang Tablet.

ETHNOPHARMACOLOGICAL RELEVANCE: Jinqi Jiangtang Tablet is a traditional Chinese anti-diabetic formula containing three ingredients: Coptis chinensis Franch. (dried rhizome of C. chinensis Franch., Coptis deltoidea C. Y. Cheng et Hsiao and Coptis teeta Wall.), Astragalus membranaceus (Fisch.) Bunge. (dried root of A. membranaceus (Fisch.) Bge. var. mongholicus (Bge. ) Hsiao and A. membranaceus (Fisch.) Bge. ) and Lonicera japonica Thunb. (dried alabastrum or with nascent flowers of L. japonica Thunb. ). Free radicals, α-glucosidase, α-amylase, aldose reductase and lipase are different targets related with diabetes. However, there are no chromatographic methods employed in screening the anti-diabetic compounds from natural products basing on these targets simultaneously. The present study was aimed at the establishment of a multi-targets integrated fingerprinting to clarify the possible mechanism of the action of Traditional Chinese Medicines which simultaneously contained multiple chemical characteristics and effects of constitutions. MATERIALS AND METHODS: The multi-targets integrated fingerprinting was developed and validated to screen anti-diabetic compounds from natural products by using ultra-high-performance liquid chromatography/quadruple-time-of-flight mass spectrometry, fraction collector and microplate reader. Ultra performance liquid chromatography was employed to separate the components in Jinqi Jiangtang Tablet, which were identified by quadruple-time-of-flight mass spectrometry to acquire their structural information and collected by the fraction collector. Finally the active fractions were tested for scavenging 1, 1-diphenyl-2-picrylhydrazyl radical and inhibition of α-glucosidase, α-amylase, aldose reductase, and lipase activities in vitro by microplate reader. RESULTS: Our tests revealed that the Jinqi Jiangtang Tablet showed inhibitory activity against α-glucosidase, α-amylase, aldose reductase and lipase with IC50 values of 0.80 ± 0.02 mg/mL, 1.28 ± 0.13 mg/mL, 0.80 ± 0.02 mg/mL, 1.90 ± 0.18 mg/mL respectively and the scavenging activity with IC50 value of 1.71 ± 0.178 mg/mL. The bioactive fractions were identified to be alkaloids, flavonoids and phenolic acids. The phenolic acids possessed antioxidant activities, namely the scavenging effect on 1, 1-diphenyl-2-picrylhydrazyl rull;). The alkaloids exhibited inhibitory activity against α-glucosidase, aldose reductase, α-amylase, and lipase. The flavonoids also showed mild inhibition on α-glucosidase, aldose reductase, α-amylase and lipase. CONCLUSIONS: The results demonstrate that Jinqi Jiangtang Tablet can scavenge free radicals and inhibit α-glucosidase, aldose reductase, α-amylase and lipase, which may be the possible mechanism of action of Jinqi Jiangtang Tablet for the treatment of diabetes and associated complications. Compared with conventional chromatographic separation and activity assays, the multi-targets integrated fingerprinting, which simultaneously contains the chemical characteristics and multiple effects of constitutions could comprehensively and properly reveal the activity of Jinqi Jiangtang Tablet. The results also show that the multi-targets integrated fingerprinting is a novel and powerful tool for screening and identifying active ingredients from Traditional Chinese Medicines.

Analysis and strategy on pharmacokinetic/pharmacodynamic correlation of Chinese materia medica based on multi-components and multi-targets / 中草药

To analyze the correlation of pharmacokinetic/pharmacodynamic (PK/PD) of Chinese materia medica (CMM) based on the multi-components and multi-targets, through the example of demonstrative research, we brought forward some innovative strategies. The research requires to use a medicated serum in parallel at a pathologic state. The experiments included the determination of multi-components PK parameters, the establishment of serum dynamic fingerprints and multi-targets PD models, the research on PK/PD binding model, the selection of the analytic program, the representation of internal relations among the concentration, time, and effect in the effective component group, the analyses on the correlation between fingerprint and PD, the tracing of the rule of PD from the chemical fingerprints and metabolic fingerprints, and the construction of a spectrum which could represent the characterization of the correlation between the retention time and the effect and the characterization of dose-effect fingerprint spectrum of the correlation between peak area growth and effects. The multi-dimensional characteristics of fingerprint-pharmacophore fingerprints (feature effect peak and dose-effect fingerprint spectrum)-fingerprint spectrum of PK are integrated, processed, and edited and a multi-dimensional image of "active integration fingerprint" in the active component group was built. A new research method on the combination of the PK/PD of CMM was explored. Only by this way, we will really understand the interaction in active component group in vivo and clearly explain the material base which truly works.