Discovery of potential hypoglycemic metabolites in Cassiae Semen by coupling UHPLC-QTOF-MS/MS combined plant metabolomics and spectrum-effect relationship analyses

Exploring Active Ingredients of Hepatoprotective Effect of Raw and Stir-Baked Gardeniae Fructus Based on Spectrum-Effect Relationship Analysis

Gardeniae Fructus (GF) has been used as a hepatoprotective medicine; however, the active ingredients of GF against cholestatic liver injury (CLI) remain unclear. This study aims to explore active ingredients of the hepatoprotective effects of raw GF (RGF) and stir-baked GF (SGF) by spectrum-effect relationship analysis. A total of 32 common peaks were recorded in RGF and SGF HPLC fingerprints, and nine of them were structurally characterized. Both RGF and SGF demonstrated hepatoprotective effects in an ANIT-induced CLI rat model. The spectrum-effect relationship analysis results showed that peaks 3 (gardenoside), 4, 5 (jasminoside B), 6 (genipin 1-gentiobioside), 8 (geniposide), 9, 16, 17, 19, and 22 were determined as the potential active ingredients of GF against CLI. Notably, gardenoside, jasminoside B, and genipin 1-gentiobioside exhibited good hepatoprotective effects. The research establishes a research foundation for the future quality control and medicinal application of GF.

Genome-wide identification and functional roles relating to anthocyanin biosynthesis analysis in maize

BACKGROUND

Anthocyanin is an important class of water-soluble pigments that are widely distributed in various tissues of plants, and it not only facilitates diverse color changes but also plays important roles in various biological processes. Maize silk, serving as an important reproductive organ and displaying a diverse range of colors, plays an indispensable role in biotic resistance through its possession of anthocyanin. However, the copy numbers, characteristics, and expression patterns of genes involved in maize anthocyanin biosynthesis are not fully understood. In this study, gene numbers, distribution, structure, cis-elements of the anthocyanin synthetic gene family were identified, and then the potential transcriptional factors were predicted by two analyzed methods. Finally, genes involved in maize silk pigment were screened by un-targeted metabolism analysis.

RESULTS

Ten gene families involved in the maize anthocyanin biosynthesis pathway were identified, and 142 synthetic genes were obtained. These anthocyanin biosynthetic genes have high copy numbers and are normally clustered on chromosomes. The promoters of these synthetic genes contain various cis-elements and the gene expression patterns and transcriptional regulatory networks were analyzed. These genes are distributed on different chromosomes and gene expression patterns vary across different tissues in maize. Specifically, these genes often exhibit higher expression in the stem, leaves, and seeds. Ten highly expressed genes in silks were identified. Based on un-targeted metabolites detection in the silks of four maize representative inbred lines with different colors, two main differential anthocyanin components were identified. Furthermore, the gene expression patterns of the ten highly expressed genes and their potential interacting transcriptional factors were analyzed across the four inbred lines.

CONCLUSIONS

The results in this study show a through picture of maize anthocyanin synthetic genes, and the structure and function of genes related to anthocyanin biosynthesis in maize could be further investigated.

Comparative study on metabolite variations of two rose teas by plant metabolomics and revealing their skin-whitening candidates by spectrum-effect relationship analysis

INTRODUCTION

Rosa rugosa var. plena Rehd (CBR) and Rosa chinensis cv. "JinBian" (JBR) are two common species used in rose tea among different original species. CBR, the officially documented original plant of the rose species for food and medicinal purposes, is more costly than JBR. With increasing demand for different rose teas, it is meaningful to compare the chemical constituents for their quality control and reveal their skin-whitening components that will provide in-depth insights for the expansion of the rose tea industry.

OBJECTIVE

This study aims to reveal the chemical variances between CBR and JBR and determine their skin-whitening components.

METHODOLOGY

A strategy obtained by combining MS-based plant-metabolomics with spectrum-effect relationship analysis has been proposed for unveiling chemical differences between CBR and JBR and further exploring their potential skin-whitening components.

RESULTS

A total of 2030 metabolites were found that revealed considerable differences between CBR and JBR. The results of bioactivity assay demonstrated that JBR exhibited stronger tyrosinase inhibition activity than CBR. Six potential skin-whitening compounds (di-O-galloyl-HHDP-glucoside, tri-O-galloyl-HHDP-glucoside, spiraeoside, quinic acid, rugosin A, and 1,2,3,6-tetra-O-galloyl-glucose) were discovered as potential tyrosinase inhibitors, via spectrum-effect relationship analysis. This is the first time that di-O-galloyl-HHDP-glucoside, tri-O-galloyl-HHDP-glucoside, rugosin A, and 1,2,3,6-tetra-O-galloyl-glucose have been reported with tyrosinase inhibitory activity. Additionally, molecular docking analysis was used to reveal the inhibition mechanism of these compounds toward tyrosinase.

CONCLUSION

The finding of this study will be of great importance for the quality control of the two types of rose teas, and the revealed active ingredients will provide in-depth insights for the expansion of the rose tea industry.

Screening and verification of hemostatic effective components group of Panax Notoginseng based on spectrum-effect relationships

ETHNOPHARMACOLOGICAL RELEVANCE

Panax Notoginseng (PN) can disperse blood stasis, hemostasis, and detumescence analgesic, which can be used for hemoptysis, hematemesis and another traumatic bleeding, and it is known as "A miracle hemostatic medicine". Studies show that the chemical composition of PN is relatively comprehensive, however, its hemostatic active ingredients have not been fully clarified.

AIM OF STUDY

This study aimed to clarify the hemostatic effective components group (HECG) of PN, provide a foundation for the assessment of PN's quality and its comprehensive development, and for further studies on the pharmacodynamic material basis of other Traditional Chinese Medicines (TCMs).

MATERIALS AND METHODS

UPLC-MS was used to establish the fingerprint and identify the common peaks in 44 batches of PN extracts (PNE). In addition, the plasma recalcification time and in vitro coagulation time were measured. For spectrum-effect analysis, bivariate correlation analysis (BCA) and partial least squares regression analysis (PLSR) were used to screen the hemostasis candidate active monomers of PN. The monomers were prepared by combining several preparative chromatography techniques. The efficacy was verified by plasma recalcification time, in vitro coagulation time, and a rat model of gastric hemorrhage.

RESULTS

A total of 30 common peaks and hemostatic efficacy indexes of 44 batches of PNE were obtained. A total of 18 components were positively correlated with the comprehensive coagulation index by two statistical methods. Six and eleven monomers were obtained respectively by chromatographic preparation and procurement, and one monomer was eliminated due to preparation difficulty and other reasons. Seven active monomers with direct hemostatic effect and one active monomer with synergistic hemostatic effect were screened through plasma recalcification time, and their combinations were used as candidate HECG for hemostatic effect verification. The results of in vitro experiments showed that plasma recalcification time and in vitro coagulation time were significantly reduced (P < 0.05) in the HECG group, compared to the PNE group. The results of in vivo experiment also indicated that the hemostatic effect of HECG was comparable to that of PNE and PN powder.

CONCLUSION

The composition and efficacy of the HECG of PN were screened and verified using the spectral correlation method and in vivo and in vitro efficacy verification; the HECG included Dencichine, Ginsenoside Rg1, Ginsenoside Rd, Ginsenoside Rh1, Ginsenoside F1, Notoginsenoside R1, Notoginsenoside Ft1 and Notoginsenoside Fe. These results laid a foundation for the quality evaluation of PN and provided a reference for the basic research of pharmacodynamic material basis of other TCMs.

Spectrum-Effect Relationship in Chinese Herbal Medicine: Current Status and Future Perspectives

The quality of Chinese herbal medicine (CHM) directly impacts clinical efficacy and safety. Fingerprint technology is an internationally recognized method for evaluating the quality of CHM. However, the existing quality evaluation models based on fingerprint technology have blocked the ability to assess the internal quality of CHM and cannot comprehensively reflect the correlation between pharmacodynamic information and active constituents. Through mathematical methods, a connection between the "Spectrum" (fingerprint) and the "Effect" (pharmacodynamic data) was established to conduct a spectrum-effect relationship (SER) of CHM to unravel the active component information associated with the pharmacodynamic activity. Consequently, SER can efficiently address the limitations of the segmentation of chemical components and pharmacodynamic effect in CHM and further improve the quality evaluation of CHM. This review focuses on the recent research progress of SER in the field of CHM, including the establishment of fingerprint, the selection of data analysis methods, and their recent applications in the field of CHM. Various advanced fingerprint techniques are introduced, followed by the data analysis methods used in recent years are summarized. Finally, the applications of SER based on different research subjects are described in detail. In addition, the advantages of combining SER with other data are discussed through practical applications, and the research on SER is summarized and prospected. This review proves the validity and development potential of the SER and provides a reference for the development and application of quality evaluation methods for CHM.

Hypoglycemic effect of Lactobacillus plantarum-fermented mulberry pomace extract in vitro and in Caenorhabditis elegans

Mulberry pomace is rich in phytochemicals, but there are few studies on its utilization as a by-product. Natural foods containing phytochemicals can alleviate the toxic effects of excessive glucose intake. In this study, we investigated the protective effect of Lactobacillus plantarum-fermented mulberry pomace extract (FMPE) under hyperglycemic conditions. The phenolic compounds and α-glucosidase inhibition of FMPE were determined using UPLC-MS and chemical models. Furthermore, Caenorhabditis elegans was a model system to study the hypoglycemic effects. The results showed that the polyphenolics and α-glucosidase inhibition were improved during fermentation. Three phenolic components (cyanidin, 2,4,6-trihydroxybenzaldehyde, and taxifolin) were important variables for α-glucosidase inhibition. FMPE and the three key compound treatments reduced the glucose content and reactive oxygen species (ROS) level in Caenorhabditis elegans. The protective mechanism occurred by activating DAF-16/FOXO and SKN-1/Nrf2. This study suggests that Lactobacillus plantarum-fermentation was a potential way to utilize mulberry pomace polyphenols as hypoglycemic food ingredients.

Small molecule metabolites: discovery of biomarkers and therapeutic targets

Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.

Evaluation and Optimization of Quality Based on the Physicochemical Characteristics and Metabolites Changes of Qingpi during Storage

Qingpi, the dried immature pericarp of Citrus reticulata Blanco, is a commonly used medicinal food with some health-promoting benefits. In general, it is essential that Qingpi be stored for a period of time, but there are no reports about the number of storage years needed to obtain the best quality of Qingpi. Our aim was to determine the best storage time of Qingpi by studying the physicochemical properties and metabolite changes in product stored from 1 to 5 years. As a result, the color of Qingpi became darker during storage. Both the levels of three flavonoids (hesperidin, nobiletin, and tangeretin) and total flavonoids (TFs) and the antioxidant activity decreased during storage and the total phenolics (TPs) content fluctuated during storage. Cluster analysis was performed on the color parameters measured using a color difference meter, revealing that the color of Qingpi differed before and after 3 years of storage. A total of 9 special differential metabolites were identified that could be used to distinguish the storage years of Qingpi. This is the first study to report the quality changes of Qingpi during storage. The optimized results of the quality evaluation indicated that Qingpi should be stored for no more than 3 years.