Revealing quality chemicals of Tetrastigma hemsleyanum roots in different geographical origins using untargeted metabolomics and random-forest based spectrum-effect analysis.

Tetrastigma hemsleyanum root is a popular functional food in China, and the price varies based on the origin of the product. The link between the origin, metabolic profile, and bioactivity of T. hemsleyanum must be investigated. This study compares the metabolic profiles of 254 samples collected from eight different areas with 49 potential key chemical markers using plant metabolomics. The metabolic pathways of the five critical flavonoid metabolites were annotated and enriched using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Moreover, a random forest model aiding the spectrum-effect relationship analysis was developed for the first time indicating catechin and darendoside B as potential quality markers of antioxidant activity. The findings of this study provide a comprehensive understanding of the chemical composition and bioactive compounds of T. hemsleyanum as well as valuable information on the evaluation of the quality of various samples and products in the market.

A new efficient multi-stage strategy based on the complementarity of ultrafiltration and high resolution biochromatogram for the screening of skin-whitening candidates from the fibrous root of Bletilla striata.

Ultrafiltration-high performance liquid chromatography (UF-HPLC) and high resolution biochromatogram (HR-biochromatogram), have been proven to be effective methods for the rapid discovery of enzyme inhibitors in natural medicines. In attempt to conquer false-positive and false- negative screening results, a new multi-stage strategy based on the complementarity of UF-HPLC and HR-biochromatogram has been proposed for the fast screening of tyrosinase inhibitory components using the fibrous root of Bletilla striata as a case study. For the first two stages, UF- HPLC and HR-biochromatogram, were applied individually for the screening of high-affinity tyrosinase ligands and tyrosinase inhibitors. After that, the inconsistent results, which yielded two potential active fractions, indicated a third stage screening. Thus, a "strengthen" biochromatogram was established to microfractionate the concentrated extract and further evaluate the tyrosinase inhibitors. The complementarity nature of two different screening methods was firstly explored to distinguish tyrosinase inhibitors from the fibrous root of Bletilla striata. As a result, four compounds were screened, isolated and characterized as new potent tyrosinase inhibitors. The screening results were verified by tyrosinase inhibition assays, melanin inhibitory in zebrafish and molecular docking. All compounds possessed much higher tyrosinase inhibition than α-arbutin, especially, 1-(4- Hydroxybenzyl)-4-methoxy-9,10-dihydrophenanthrene-2,7-diol demonstrated stronger tyrosinase inhibition than kojic acid. This study presented a new screening strategy which had a great potential in rapidly and efficiently exploring tyrosinase inhibitors in complex mixtures. Moreover, it is the first time to reveal the skin-whitening nature of the fibrous root of B. striata, which indicating the promising prospect in the full utilization of B. striata plant.

A comprehensive strategy for prediction and quality evaluation of standardized planting herbs based on plant metabolomics coupled with extreme learning machine: Astragali Radix as an example.

INTRODUCTION: Standardizing the planting process is an effective way to control the quality stability of herbal resources, which are susceptible to external environmental factors (e.g., moisture, soil, etc.). However, how to scientifically and comprehensively assess the effects of standardized planting on plant quality and quickly test unknown samples has not been addressed. OBJECTIVE: The aim of this study was to determine and compare the metabolite levels of herbs before and after standardized planting, to quickly distinguish their sources, and to evaluate their quality, using the typical herb Astragali Radix (AR) as an example. METHODS: In this study, an efficient strategy using liquid chromatography-mass spectrometry (LC-MS) based on plant metabolomics combined with extreme learning machine (ELM) has been developed to efficiently distinguish and predict AR after standardized planting. Moreover, a comprehensive multi-index scoring method has been developed for the comprehensive evaluation of the quality of AR. RESULTS: The results confirmed that AR after standardized planting was significantly differentiated, with a relatively stable content of 43 differential metabolites, mainly including flavonoids. An ELM model was established based on LC-MS data, and the accuracy in predicting unknown samples could reach more than 90%. As expected, higher total scores were obtained for AR after standardized planting, indicating much better quality. CONCLUSION: A dual system for evaluating the impact of standardized planting on the quality of plant resources has been established, which will significantly contribute to innovation in the quality evaluation of medicinal herbs and support the selection of optimal planting conditions.

A review on the chemical constituents and pharmacological efficacies of Lindera aggregata (Sims) Kosterm.

Lindera aggregata (Sims) Kosterm. (L. aggregata), which belongs to the genus Lindera in the family Lauraceae, is widely distributed in Asia and the temperate, tropical regions of North America. Its roots and leaves have been used for thousands of years as traditional Chinese medicine and/or functional food. To further explore its underlying nutritional value, this review provided a comprehensive insight into chemical constituents and pharmacological effects on L. aggregata. The phytochemical investigation of different parts of L. aggregata led to the identification of up to 349 components belonging to sesquiterpenoids, alkaloids, flavonoids, essential oils, and other compounds. Among them, sesquiterpenoids, flavonoids, and alkaloids are assessed as representative active ingredients of L. aggregata. A wide variety of pharmacological effects of L. aggregata, such as anti-hyperlipidemic, anti-tumor, anti-inflammatory, analgesic, and anti-oxidant, have been proved in vitro and in vivo. In summary, this review aims to provide a scientific basis and reference for further research and utilization of L. aggregata and lay the foundation for developing functional foods with potential active ingredients for the prevention and management of related diseases.