Integrated spatial metabolomics and network pharmacology to explore the pharmacodynamic substances and mechanism of Radix ginseng-Schisandra chinensis Herb Couple on Alzheimer's disease.

Radix ginseng and Schisandra chinensis have been extensively documented in traditional Chinese medicine (TCM) for their potential efficacy in treating dementia. However, the precise mechanism of their therapeutic effects remains to be fully elucidated. In this study, air flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) and network pharmacology are used to investigate the pharmacodynamics and mechanism underlying the herbal combination consisting of Radix ginseng-Schisandra chinensis (RS) in a rodent model for Alzheimer's disease (AD). Brain histopathological findings suggested that RS attenuates hippocampal damage in AD mice, making this combination a potential AD treatment. Twenty-eight biomarkers were identified by spatial metabolomics analysis, which are intricately linked to neuroinflammation, neurotransmitter imbalance, energy deficiency, oxidative stress, and aberrant fatty acid metabolism in AD. The total extract of RS (TE) affected 22 of these biomarkers, with the small molecule components of RS (SN) significantly influencing 19 and the large molecule components of RS (PR) impacting 14. Nine small molecule components are likely to dominate the pharmacodynamics of RS. We constructed a target interaction network based on the corresponding bioactivities that revealed relationships amongst 11 key biomarkers, 8 active ingredients and 12 critical targets. This research illustrates the immense potential of spatial metabolomics and network pharmacology in the study of TCM, revealing the targets and mechanisms underlying herbal formulas.

Integrated ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry-based components analysis and network pharmacology strategy of Gancao Xiexin Decoction in treating gastric ulcer.

Gancao Xiexin Decoction (GCXXD) is a traditional Chinese decoction that is often used in treating gastric ulcers. However, the substance basis and mechanism of action remain unclear. In this study, in vivo and in vitro components of GCXXD were analyzed by ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry. The compound Discover platform was used to ultimately enable rapid identification of compounds. Acquire X intelligent data acquisition technology software was innovatively adopted. In the process of collecting drug-containing plasma, all components detected in blank plasma samples were excluded to eliminate the interference and influence of endogenous components in plasma, making the analysis results more accurate and reliable. At the same time, the possibility of selecting precursor parent ions with low concentration levels within the chromatographic peak can be increased, improving the coverage and integrality of the detection of components in vivo. Also, the targeted network pharmacology strategy combined with molecular docking was established to explore the mechanism of GCXXD in treating gastric ulcers. As a result, 113 components were identified, 41 of which could enter the bloodstream and exert therapeutic effects in vivo. The main effective components are glycyrrhizic acid, 6-gingerol, jatrorrhizine, wogonin, palmatine, and liquiritigenin, main targets in vivo were related to ALB, IL6, and VEGF, which play an important role in anti-inflammatory and promoting angiogenesis. In summary, this study adopted a comprehensive analysis strategy to reveal the pharmacodynamic material basis and mechanism of GCXXD against gastric ulcers, providing a scientific basis for its clinical application.

Establishment of Polydopamine-Modified HK-2 Cell Membrane Chromatography and Screening of Active Components from Plantago asiatica L.

Cell membrane chromatography (CMC) has been widely recognized as a highly efficient technique for in vitro screening of active compounds. Nevertheless, conventional CMC approaches suffer from a restricted repertoire of cell membrane proteins, making them susceptible to oversaturation. Moreover, the binding mechanism between silica gel and proteins primarily relies on intermolecular hydrogen bonding, which is inherently unstable and somewhat hampers the advancement of CMC. Consequently, this investigation aimed to establish a novel CMC column that could augment protein loading, enhance detection throughput, and bolster binding affinity through the introduction of covalent bonding with proteins. This study utilizes polydopamine (PDA)-coated silica gel, which is formed through the self-polymerization of dopamine (DA), as the carrier for the CMC column filler. The objective is to construct the HK-2/SiO2-PDA/CMC model to screen potential therapeutic drugs for gout. To compare the quantity and characteristics of Human Kidney-2 (HK-2) cell membrane proteins immobilized on SiO2-PDA and silica gel, the proteins were immobilized on both surfaces. The results indicate that SiO2-PDA has a notably greater affinity for membrane proteins compared to silica gel, resulting in a significant improvement in detection efficiency. Furthermore, a screening method utilizing HK-2/SiO2-PDA/CMC was utilized to identify seven potential anti-gout compounds derived from Plantago asiatica L. (PAL). The effectiveness of these compounds was further validated using an in vitro cell model of uric acid (UA) reabsorption. In conclusion, this study successfully developed and implemented a novel CMC filler, which has practical implications in the field.

Isoniazid derivatization strategy of carboxyl-containing metabolites for LC-MS/MS-based targeted metabolomics.

Metabolomics is a biochemical analysis tool for identifying metabolic phenotypes and used to reveal the pathogenic mechanisms of disease and to inform drug-targeted therapies. Carboxyl-containing metabolites (CCMs) account for an important proportion of the metabolome, but because of the diversity of physical and chemical properties of CCMs in biological samples, traditional liquid chromatography-mass spectrometry (LC-MS) targeted metabolome analysis methods cannot achieve simultaneous quantification of multiple types of CCMs. Therefore, we proposed for the first time a targeted metabolomics strategy using isoniazid derivatization combined with LC-MS/MS to simultaneously quantify 39 CCMs of 5 different types (short-chain fatty acids, amino acids, bile acids, phenylalanine and tryptophan metabolic pathway acids) with large polarity differences associated with Alzheimer's disease (AD) and significantly improve the detection coverage and sensitivity. The yields of isoniazid derivative CCMs were high and could guarantee the accuracy of CCM quantification. The LODs of CCMs increased significantly (1.25-2000-fold) after derivatization. The method showed good selectivity, intra-day and inter-day accuracies and precisions, and repeatability. There was no significant effect on the determination of CCMs in terms of matrix effect and recovery. CCMs showed good stability. And CCMs showed good stability under short-term storage and freeze-thaw cycles. At the same time, the regulatory effects of Schisandrae chinensis Fructus and Ginseng Radix et Rhizoma (SG) herb pair on CCM metabolic disorders in feces, urine, serum, and the brain of AD rats were elucidated from the perspective of targeted metabolomics. In combination with pharmacodynamic evaluation and gut microbiota analysis, the mechanism of SG herb pair on AD rats was comprehensively understood. In summary, this innovative isoniazid derivatization combined with a targeted metabolomics method has great potential for trace biological lineage analysis.

Ligand-targeted fishing of α-glucosidase inhibitors from Tribulus terrestris L. based on chitosan-functionalized multi-walled carbon nanotubes with immobilized α-glucosidase.

α-Glucosidase inhibitors in natural products are one of the promising drugs for the treatment of type 2 diabetes. However, due to the complexity of the matrix, it is challenging to comprehensibly clarify the specific pharmacodynamic substances. In this study, a novel high-throughput inhibitor screening strategy was established based on covalent binding of α-glucosidase on chitosan-functionalized multi-walled carbon nanotubes coupled with high-resolution mass spectrometry. The synthesized MWCNTs@CS@GA@α-Glu was characterized by TEM, SEM, FTIR, Raman, and TG. Performance studies showed that the microreactor exhibited stronger thermostability and pH tolerance than that of the free one while maintaining its inherent catalytic activity. Feasibility study applying a model mixture of known α-glucosidase ligand and non-ligands indicated the selectivity and specificity of the system. By integrating ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-QTOF-MS) with ion mobility mass spectrometry (IMS), 15 ligands were obtained and tentatively identified from Tribulus terrestris L., including 8 steroidal saponins, 4 flavonoids, and 3 alkaloids. These inhibitors were further validated by in vivo experiments and molecular docking simulation.

A novel strategy on the study of whole intestinal metabolic profiles for Polygalae Radix before and after processing.

INTRODUCTION: Relieving toxicity and enhancing a calming effect after processing Polygalae Radix (PR) are widely known. Aromatic carboxylic acids (ACAs) may be crucial processed products. However, due to the limited detection methods for ACAs, the whole metabolic profiles via intestinal bacteria are still not very clear. OBJECTIVE: Designing a novel strategy for the detection of ACAs and tracking the whole metabolic profiles before and after processing PR. MATERIALS AND METHODS: The stable-isotope labelling derivatisation (SILD) method based on multidimensional ultra-high performance liquid chromatography coupled with a mass spectrometer (UHPLC-MS) technology and UNIFI-pathway mode was firstly designed to systematically study the metabolisms of all the drug-derived ingredients ranging from m/z 100 to 2000 in processing PR via intestinal bacteria. Firstly, the SILD with UHPLC coupled with a triple-quadrupole MS technology was designed to trace eight ACA metabolites of the processed PR with intestinal bacteria. Additionally, the UHPLC coupled with a quadrupole time-of-flight MS with UNIFI-pathway mode was adopted to monitor relatively big metabolites. RESULTS: The metabolism mechanism of ACAs (eight kinds) and the relatively big molecular metabolites (98 kinds) were deeply traced in PR, PR with refined honey (HP), and PR with licorice (LP) via the intestinal bacteria. Totally 106 intact metabolic profiles of drug-derived ingredients were presented. Importantly, the influence of LP on the metabolism of compounds after incubation of intestinal bacteria was greater than that of HP. CONCLUSION: This research provides a comprehensive and systematic guidance for further study on in vivo metabolisms of the processed PR.

Unfolding and aggregation of oxidized metal-deficient superoxide dismutase and isoflavone inhibition based on ion mobility mass spectrometry and ThT fluorescence assay.

Structurally abnormal Cu, Zn-superoxide dismutase (SOD1) is considered one of the causes of amyotrophic lateral sclerosis. The misfolding and neurotoxic aggregation of SOD1 can be induced by mutations, metal deficiency, and post-translational modification. Here, we revealed the risk of oxidation damage on zinc-deficient SOD1 by native mass spectrometry coupled with ion mobility. The copper ions were found to be released in the early period of oxidation which may be the result of oxidation on its binding site. On the other hand, zinc-deficient SOD1 showed a faster and deeper dissociation tendency than SOD1 with no metal ions. The results of collision-induced unfolding indicated that the oxidized zinc-deficient SOD1 is more easily to be turned into totally unfolded conformation. ThT fluorescence also showed stronger aggregation of oxidized zinc-deficient SOD1. Compared with DTT-induced reduction, oxidized zinc-deficient SOD1 acted differently in dimer dissociation, conformation stability, and aggregation, suggesting that the conserved intramolecular disulfide bonds were influenced little during oxidation. Additionally, we explored glycitin, an isoflavone glycoside, to prevent the oxidation of metal-deficient SOD1 and inhibit the unfolding and aggregation of oxidized metal-deficient SOD1.

Network Pharmacology Combined with Metabolomics Approach to Investigate the Toxicity Mechanism of Paclobutrazol.

Paclobutrazol (PBZ) is a commonly used plant growth regulator (PGR) with good antibacterial activity. It has widespread applications in agricultural production. However, there is limited research reported on the potential risks of human health resulting from PBZ residues. In this study, using Sprague-Dawley rats, we carried out a systematic study on the hepatotoxicity and nephrotoxicity of PBZ in different doses (0.2, 0.5, and 1.0 g/kg). The metabolic profiles and network pharmacology were combined to construct a PBZ-endogenous substances-gene-hepatorenal diseases network to elucidate the underlying mechanism of PBZ's hepatorenal toxicity. At first, metabolomics analysis was done to investigate the metabolites and the related metabolic pathways associated with PBZ. Secondly, the network pharmacology approach was used in further exploration of the toxic targets. Additionally, molecular docking was carried out to investigate the interactions between PBZ and potential targets. The results indicated that PBZ showed obvious toxicity towards the liver and kidney of rats. The metabolomics analysis showed that PBZ mainly affected 4 metabolic pathways, including tryptophan metabolism, arachidonic acid metabolism, linoleic acid metabolism, and purine metabolism. Network pharmacology and molecular docking revealed that CYP1A2, CYP2A6, CYP2E1, MAOA, PLA2G2A, PTGS1, and XDH were critical targets for PBZ hepatorenal toxicity. This preliminary study revealed PBZ's hepatorenal toxicity and provided a theoretical basis for the rational and safe use of PBZ. Furthermore, it provided possible intervention targets for further research on how to avoid or reduce the damage caused by pesticides to the human body.

Screening apo-SOD1 conformation stabilizers from natural flavanones using native ion mobility mass spectrometry and fluorescence spectroscopy methods.

RATIONALE: A large number of studies have shown that the production of aberrant and deleterious copper zinc superoxide dismutase (SOD1) species is closely related to amyotrophic lateral sclerosis (ALS). Therefore, it is of great significance to screen effective inhibitors of misfolding and aggregation of SOD1 for treating ALS disease. METHODS: The interaction between flavanone compounds with apo-SOD1was investigated using native electrospray ion mobility mass spectrometry (native ESI-IM-MS). Binding affinities of ligands were compared using native MS, ESI-MS/MS, collision-induced unfolding, and competitive experiments. The effect of ligands on apo-SOD1 aggregation was investigated using the fluorescence spectroscopy method. RESULTS: The results of MS showed that the binding affinity of liquiritin apioside was the strongest, better than the corresponding monosaccharide and aglycone, indicating that the presence and the number of glycosyl group are beneficial to enhance ligand affinity to protein. The results of fluorescence spectroscopy for inhibiting protein aggregation in vitro were consistent with the binding affinity. In addition, the results of the collision-induced unfolding indicated that liquiritin apioside can slow down the unfolding of the protein. Meanwhile, the results of competition experiment suggested that liquiritin apiosides share different binding sites with naringin and 5-fluorouridine, which are significant for the structural stability of SOD1. CONCLUSIONS: This study revealed that the binding of liquiritin apioside can stabilize apo-SOD1 dimer and inhibit the aggregation of apo-SOD1, and illustrated that native ESI-IM-MS is a powerful tool for providing insight into investigating the structure-activity relationship between small molecules and protein, and screening protein conformation stabilizers.

Discovery of Phenolic Matrix Metalloproteinase Inhibitors by Peptide Microarray for Osteosarcoma Treatment.

Because of the abnormal upregulation of matrix metalloproteinase (MMP) activities in tumors, MMP inhibitors (MMPIs) are validated anticancer drug candidates. We identified several MMPIs including mangiferin as an MMP-9 inhibitor with a half maximal inhibitory concentration (IC50) value of 250 nM, isosilybin as an MMP-13 inhibitor with an IC50 value of 250 nM, and isoliquiritigenin as a broad-spectrum MMPI (with IC50 values of 16 nM for MMP-1, 10 nM for MMP-2, 81 nM for MMP-3, 8 nM for MMP-7, 10 nM for MMP-9, and 14 nM for MMP-13) through studying the interactions of 6 MMPs secreted by U-2OS cells with 51 phenolic natural products on the peptide microarray platform. In addition, the inhibitory mechanisms of as-discovered MMPIs were evaluated by a molecular docking simulation. The antitumor efficiencies of MMPIs were demonstrated by both a cell scratch test and growth suppression of mouse-born OS tumors. The results of the cell scratch test suggested that isoliquiritigenin significantly inhibited the migration of U-2OS cells. In addition, administration of isoliquiritigenin significantly reduced the tumor size (by about 80%) and prolonged the survival time (by more than 70 days). This study suggests that the discovery of MMPIs from phenolic natural products is a meaningful way to screen anticancer agents.