Comparative proteomic analysis of Prunella vulgaris L. spica ripening

Multi-level chemical characterization and anti-inflammatory activity evaluation of the polysaccharides from Prunella vulgaris

Prunella vulgaris (PV) is a medicine and food homologous plant, but its quality evaluation seldom relies on the polysaccharides (PVPs). In this work, we established the multi-level fingerprinting and in vitro anti-inflammatory evaluation approaches to characterize and compare the polysaccharides of P. vulgaris collected from the major production regions in China. PVPs prepared from 22 batches of samples gave the content variation of 5.76-24.524 mg/g, but displayed high similarity in the molecular weight distribution. Hydrolyzed oligosaccharides with degrees of polymerization 2-14 were characterized with different numbers of pentose and hexose by HILIC-MS. The tested 22 batches of oligosaccharides exhibited visible differences in peak abundance, which failed to corelate to their production regions. All the PVPs contained Gal, Xyl, and Ara, as the main monosaccharides. Eleven batches among the tested PVPs showed the significant inhibitory effects on NO production on LPS-induced RAW264.7 cells at 10 μg/mL, but the exerted efficacy did not exhibit correlation with the production regions. Conclusively, we, for the first time, investigated the chemical features of PVPs at three levels, and assessed the chemical and anti-inflammatory variations among the different regions of P. vulgaris samples.

Recent Advances in Utilizing Omics Approach to Identify the Bioactive Peptides and Ripening Metabolism in Plant-based Food

Abstract:

Bioactive peptides with potential health benefits and metabolic functionality have been identified from plant-based food. The aim of this perspective is to report the recent progress in the research of plant-derived bioactive peptides using the combination of omics technologies and bioinformatics tools. Studies examining bioactive peptides with identified amino acid sequences and well-characterized biological functionalities are highlighted. Various software, webtools and workflows for analyzing and interpreting the biological data acquired from different omics approaches are discussed. The emerging evidence from the integration of proteomics and metabolomics data with advanced laboratory analytical methods supports more potential applications in the envisioned development of nutraceutical and therapeutic products. Notwithstanding, much works are mandatory to resolve those lied-ahead challenges before realizing the proposed applications of plant peptides.