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An efficient Pt@MXene platform for the analysis of small-molecule natural products.

ABSTRACT: Small-molecule (m/z<500) natural products have rich biological activity and significant application value thus need to be effectively detected. Surface-assisted laser desorption/ionization mass spectrometry (SALDI MS) has become a powerful detection tool for small-molecule analysis. However, more efficient substrates need to be developed to improve the efficiency of SALDI MS. Thus, platinum nanoparticle-decorated Ti₃C₂ MXene (Pt@MXene) was synthesized in this study as an ideal substrate for SALDI MS in positive ion mode and exhibited excellent performance for the high-throughput detection of small molecules. Compared with using MXene, GO, and CHCA matrix, a stronger signal peak intensity and wider molecular coverage was obtained using Pt@MXene in the detection of small-molecule natural products, with a lower background, excellent salt and protein tolerance, good repeatability, and high detection sensitivity. The Pt@MXene substrate was also successfully used to quantify target molecules in medicinal plants. The proposed method has potentially wide application.

SUBMITTER: Zhang G

PROVIDER: S-EPMC10214401 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

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An efficient Pt@MXene platform for the analysis of small-molecule natural products.

Zhang Guanhua G Ma Chunxia C He Qing Q Dong Hongjing H Cui Li L Li Lili L Li Lingyu L Wang Yan Y Wang Xiao X

iScience 20230408 5

Small-molecule (m/z<500) natural products have rich biological activity and significant application value thus need to be effectively detected. Surface-assisted laser desorption/ionization mass spectrometry (SALDI MS) has become a powerful detection tool for small-molecule analysis. However, more efficient substrates need to be developed to improve the efficiency of SALDI MS. Thus, platinum nanoparticle-decorated Ti3C2 MXene (Pt@MXene) was synthesized in this study a ...[more]

PMID: 37250310

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Project description:N6-Methyladenosine (m6A) is the most prevalent mRNA modification in mammalian cells that is mainly catalyzed by the methyltransferase complex of methyltransferase-like 3 and methyltransferase-like 14 (METTL3-METTL14). Many lines of evidence suggest that METTL3 plays important roles in several diseases such as cancers and viral infection. In the present study, 1,042 natural products from commercially available sources were chosen to establish a screening library, and docking-based high-throughput screening was performed to discover potential METTL3 inhibitors. The selected compounds were then further validated by an in vitro methyltransferase inhibition assay in which m6A content was determined by LC-MS/MS. A cellular assay of the inhibition of m6A methylation was performed to determine the METTL3 inhibitory activity of the selected compound. CCK-8 assay was applied to evaluate the effects of the selected compound on tumor cell viability. Additionally, binding mode analysis, molecular dynamics (MD) simulation, and binding free energy analysis were performed to study the process and characteristics of inhibitor binding. Finally, quercetin was identified as a METTL3 inhibitor with an IC50 value of 2.73 μM. The cellular assay of m6A methylation inhibition showed that quercetin decreased m6A level in a dose-dependent manner in MIA PaCa-2 pancreatic cancer cells. CCK-8 assay showed quercetin efficiently inhibited the proliferation of MIA PaCa-2 and Huh7 tumor cells, with IC50 values 73.51 ± 11.22 μM and 99.97 ± 7.03 μM, respectively. Molecular docking studies revealed that quercetin filled the pocket of the adenosine moiety of SAM but not the pocket of the SAM methionine in the METTL3 protein, and hydrogen bonds, hydrophobic interactions, and pi-stacking were formed. The values of the root mean square deviation (RMSD), the root mean square fluctuations (RMSF), and binding free energy suggested that quercetin can efficiently bind to the pocket of the METTL3 protein and form a stable protein-ligand complex. The present study is the first to identify METTL3 inhibitors from natural products, thus providing a basis for subsequent research and facilitating the development of METTL3-targeting drugs for diseases.

Project description:Although nature is a rich source of potential drugs and drug leads, the widespread application of natural products (NPs) is limited due to their poor absorption when administered orally. A strategy of using phytosome has emerged as a promising technique to increase the bioavailability of NPs. Here, a comprehensive computational investigation is performed to explore the nature of interactions in the formation of phytosomes between phosphatidylcholine (PC) and a series of polyphenols (PP), including epigallocatechin-3-gallate (Eg), luteolin (Lu), quercetin (Qu), and resveratrol (Re). Our quantum mechanical calculation revealed that the intermolecular hydrogen bonds (HBs) of phosphate and glycerol parts of PC with the polyphenol compounds are the main driving force in the formation of phytosomes. The strongest HB (with energy HB = - 108.718 kJ/mol) is formed between the Eg molecule and PC. This hydrogen bond results from the flexible structure of the drug which along with several van der Waals (vdW) interactions, makes Eg-PC the most stable complex (adsorption energy = - 164.93 kJ/mol). Energy decomposition analysis confirms that the electrostatic interactions (hydrogen bond and dipole-diploe interactions) have a major contribution to the stabilization of the studied complexes. The obtained results from the molecular dynamics simulation revealed that the formation of phytosomes varies depending on the type of polyphenol. It is found that the intermolecular hydrogen bonds between PP and PC are a key factor in the behavior of the PP-PC complex in the self-aggregation of phytosome. In Eg-PC, Lu-PC, and Qu-PC systems, the formation of strong hydrogen bonds (HBCP < 0 and ∇2ρBCP > 0) between PP and PC protects the PP-PC complexes from degradation. The steered molecular dynamics simulation results have a good agreement with experimental data and confirm that the phytosome platform facilitates the penetration of PP compounds into the membrane cells.

Dataset Information

An efficient Pt@MXene platform for the analysis of small-molecule natural products.

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An efficient Pt@MXene platform for the analysis of small-molecule natural products.

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