Recent advances in bioaffinity strategies for preclinical and clinical drug discovery: Screening natural products, small molecules and antibodies.

Bioaffinity drug screening strategies have gained popularity in preclinical and clinical drug discovery for natural products, small molecules and antibodies owing to their superior selectivity, the large number of compounds to be screened and their ability to minimize the time and expenses of the drug discovery process. This paper provides a systematic summary of the principles of commonly used bioaffinity-based screening methods, elaborates on the success of bioaffinity in clinical drug development and summarizes the active compounds, preclinical drugs and marketed drugs obtained through affinity screening methods. Owing to the high demand for new drugs, bioaffinity-guided screening techniques will play a greater part in clinical drug development.

Characterization and identification of the wide-polarity multicomponents from Prunella vulgaris by offline two-dimensional liquid chromatography and hydrophilic interaction chromatography coupled to ion mobility-quadrupole time-of-flight mass spectrometry.

Metabolites identification is crucial to develop functional foods or perform quality control. Prunella vulgaris (Xia-Ku-Cao) is a medicinal and edible plant used as the herbal medicine or main additive in functional beverage. However, current analytical strategies can only on-line characterize tens of compounds, restricted by insufficient chromatographic resolution and low coverage of the mass spectrometric scan methods. This work was designed to characterize the wide-polarity components from the ear of P. vulgaris. The total extract was fractionated by semi-preparative high-performance liquid chromatography into the retained medium-polarity fraction and unretained polar fraction, which were further analyzed by offline two-dimensional liquid chromatography (2D-LC) and hydrophilic interaction chromatography, respectively. Data-independent high-definition MSE of the Vion™ ion mobility time-of-flight mass spectrometer was utilized enabling the high-coverage acquisition of collision-induced dissociation-MS2 data. The offline 2D-LC, configuring the XBridge Amide and HSS T3 columns, gave high orthogonality (0.81) and effective peak capacity (1555). Automatic peak annotation facilitated by the UNIFI™ bioinformatics platform and comparison with 62 reference compounds achieved the efficient and more reliable structural elucidation. We could characterize 255 compounds from P. vulgaris, with numerous phenylpropanoid phenolic acids and triterpenoid O-glycosides newly reported. Especially, collision cross section (CCS) prediction and targeted isolation of three compounds assisted in the identification of 39 groups of isomers. Additionally, 17 hydrophilic compounds, involving oligosaccharides and organic acids, were characterized from the unretained polar fraction. Conclusively, the in-depth metabolites identification of P. vulgaris was accomplished, and the results can benefit the development and better quality control of this valuable plant.

Combination of metabolomics and network pharmacology analysis to decipher the mechanisms of total flavonoids of Litchi seed against prostate cancer.

OBJECTIVES: To explore the underlying mechanism of total flavonoids of Litchi seed (TFLS) in treating prostate cancer (PCa). METHODS: Cell Counting Kit-8 (CCK-8), EdU incorporation assay, trypan blue dye assay and colony formation assay were employed to evaluate the effect of TFLS on PCa in vitro. The xenograft mouse model was established to explore the anti-tumour effect of TFLS in vivo. Alterations in the metabolic profiles of the PC3 cells and mouse serum were obtained by untargeted metabolomics. Combination with metabolomics analysis and network pharmacology strategies, the potential targets were predicted and further validated by RT-qPCR. KEY FINDINGS: TFLS attenuated PCa progression both in vitro and in vivo. Metabolomics results yielded from cells and serum indicated that the anti-cancer effect of TFLS was correlated with synergistic modulation of five common metabolic pathways including glycerophospholipid metabolism, arginine and proline metabolism, glycine, serine and threonine metabolism, tryptophan metabolism and steroid biosynthesis. Using in silico prediction and RT-qPCR analysis, we further revealed that TFLS exerted anti-PCa activities via regulating the expressions of nine genes, including MAOA, ACHE, ALDH2, AMD1, ARG1, PLA2G10, PLA2G1B, FDFT1 and SQLE. CONCLUSIONS: TFLS suppressed tumour proliferation in PCa, which may be associated with regulating lipid and amino acid metabolisms.