An integrated approach to reveal the chemical changes of Ligustri Lucidi Fructus during wine steaming processing

Non-targeted metabolomics and explainable artificial intelligence: Effects of processing and color on coniferyl aldehyde levels in Eucommiae cortex

Eucommia ulmoides, a plant native to China, is valued for its medicinal properties and has applications in food, health products, and traditional Chinese medicine. Processed Eucommiae Cortex (EC) has historically been a highly valued medicine. Ancient doctors had ample experience processing EC, especially with ginger juice, as documented in traditional Chinese medical texts. The combination of EC and ginger juice helps release and transform the active ingredients, strengthening the medicine's effectiveness and improving its taste and shelf life. However, the lack of quality control standards for Ginger-Eucommiae Cortex (G-EC), processed from EC and ginger, presents challenges for its industrial and clinical use. This study optimized G-EC processing using the CRITIC and Box-Behnken methods. Metabolomics showed 517 chemical changes between raw and processed G-EC, particularly an increase in coniferyl aldehyde (CFA). Explainable artificial intelligence techniques revealed the feasibility of using color to CFA content, providing insights into quality indicators.

Characterisation and identification of chemical constituents in aqueous extract of Fomes officinalis Ames based on ultrahigh-performance liquid chromatography tandem quadrupole-Orbitrap high-resolution mass spectrometry

INTRODUCTION

Fungal species are an attractive resource for physiologically functional food and drug precursor. Fomes officinalis Ames, a medicinal fungus, is traditionally used as a folk medicine in traditional Chinese medicine prescription for the therapy of cough and asthma. The water-soluble substances in Chinese herbal medicines are likely to play an important physiological function. However, information on probing and identifying chemical components of the aqueous extract of Fomes officinalis Ames (AFO) remains unknown.

OBJECTIVE

This study was conducted to screen and characterise the chemical components of AFO.

MATERIAL AND METHODS

An effective and sensitive ultrahigh-performance liquid chromatography tandem quadrupole-Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap-HRMS) method with the Full MS/PIL/dd-MS2 acquisition approach was applied for the profiling of chemical components in AFO. An HSS T3 column was used for component separation, and a strategy of simultaneous targeted and untargeted multicomponent characterisation was implemented. Multiple identification approaches were used, including accurate molecular mass and elemental composition matching, literature and database searching, and fragmentation rules elucidation.

RESULTS

A total of 115 components, including 20 amino acids and derivatives, six nucleobases, nine nucleosides, 75 dipeptides, two tripeptides, and three other components, were tentatively identified. Among them, the targeted exploring method screened six nucleobases and nine nucleosides including modified nucleosides. To our best knowledge, this is the first time a report has been done on the presence of the 115 compounds in AFO.

CONCLUSION

Profiling and characterisation compounds of AFO enriched its material basis, which would lay the foundation for improving potential medicinal and nutritional values and effecting comprehensive quality control of Fomes officinalis Ames.

Composition analysis of Compound Shenhua Tablet, a seven-herb Chinese medicine for IgA nephropathy: evaluation of analyte-capacity of the assays

Compound Shenhua Tablet, a medicine comprising seven herbs, is employed in treating IgA nephropathy. This study aimed to meticulously analyze its chemical composition. Based on a list of candidate compounds, identified through extensive literature review pertinent to the tablet's herbal components, the composition analysis entailed the systematic identification, characterization, and quantification of the constituents. The analyte-capacity of LC/ESI-MS-based and GC/EI-MS-based assays was evaluated. The identified and characterized constituents were quantified to determine their content levels and were ranked based on the constituents' daily doses. A total of 283 constituents, classified into 12 distinct categories, were identified and characterized in the Compound Shenhua Tablet. These constituents exhibited content levels of 1-10 982 μg·g-1, with daily doses of 0.01-395 μmol·d-1. The predominant constituents, with daily doses of ≥ 10 μmol·d-1, include nine organic acids (citric acid, quinic acid, chlorogenic acid, cryptochlorogenic acid, gallic acid, neochlorogenic acid, isochlorogenic acid C, isochlorogenic acid B, and linoleic acid), five iridoids (specnuezhenide, nuezhenoside G13, nuezhenidic acid, secoxyloganin, and secologanoside), two monoterpene glycosides (paeoniflorin and albiflorin), a sesquiterpenoid (curzerenone), a triterpenoid (oleanolic acid), and a phenylethanoid (salidroside). Additionally, there were 83, 126, and 55 constituents detected in the medicine with daily doses of 1-10, 0.1-1, and 0.01-0.1 μmol·d-1, respectively. The combination of the LC/ESI-MS-based and GC/EI-MS-based assays demonstrated a complementary relationship in their analyte-capacity for detecting the constituents present in the medicine. This comprehensive composition analysis establishes a solid foundation for further pharmacological research on Compound Shenhua Tablet and facilitates the quality evaluation of this complex herbal medicine.

Interpreting the efficacy enhancement mechanism of Chinese medicine processing from a biopharmaceutic perspective

Chinese medicine processing (CMP) is a unique pharmaceutical technology that distinguishes it from natural medicines. Current research primarily focuses on changes in chemical components to understand the mechanisms behind efficacy enhancement in processing. However, this paper presents a novel perspective on the biopharmaceutics of CMP. It provides a comprehensive overview of the current research, emphasizing two crucial aspects: the role of 'heat' during processing and the utilization of processing adjuvants. The paper highlights the generation of easily absorbed components through the hydrolysis of glycosides by 'heat', as well as the facilitation of dissolution, absorption, and targeted distribution of active components through the utilization of processing adjuvants. From a biopharmaceutic perspective, this paper provides a lucid comprehension of the scientific foundation for augmenting the efficacy of CMP. Moreover, it proposes a three-dimensional research framework encompassing chemical reactions, phase transitions, and biopharmaceutical properties to further investigate the mechanisms involved in enhancing the efficacy of CMP.

Exploring the boost of steaming with wine on Ligustri Lucidi Fructus in treating postmenopausal osteoporosis based on superior "multi-component structure" and iron/bone metabolism coregulation

BACKGROUND

Clinical studies indicated that postmenopausal osteoporosis (PMOP) often accompanied by iron overload risk factor, which exacerbated bone metabolism disorders and accelerated PMOP. Previous research found that multicomponent in Ligustri Lucidi Fructus (FLL) or wine-steamed FLL (WFLL) acted on the common targets of iron overload and PMOP simultaneously, which indicated that FLL and WFLL probably regulated iron/bone metabolism dually. Additionally, WFLL had more superior effect according to the theory of Chinese medicine for thousands of years.

PURPOSE

To reveal the "superior multi-component structure (SMCS)" and its molecular mechanisms in parallelly down-regulating iron overload and rescuing bone metabolism by WFLL.

DESIGNS AND METHODS

HPLC fingerprinting was established to compare the chemical profiles of FLL and WFLL; Then, the chemical compositions and quality markers of FLL and WFLL were analyzed by UPLC-Orbitrap-MS/MS coupled with OPLS-DA; the dynamic contents of quality markers and the multi-component structure at different wine steaming times (WST) were simultaneously determined by HPLC-DAD. Meanwhile, the dynamic efficacy of FLL at different WST were hunt by systematic zebrafish model. Subsequently, potential mechanism of WFLL in treating PMOP accompanied with iron overload was obtained from network pharmacology (NP) and molecular docking (MD). Finally, zebrafish and ovariectomy rat model were carried out to validate this potential mechanism.

RESULTS

HPLC fingerprints similarity of 15 batches in FLL and WFLL were among 0.9-1.0. 126 compositions were identified, including 58 iridoids, 25 terpenes, 30 phenylethanoids, 7 flavonoids and 6 others. 20 quality markers associated with WFLL was revealed, and the ratio of phenylethanols: Iridoids: Triterpenes (P/I/T) was converted from 1: 15: 4.5 to 1: 0.8: 0.9 during steaming (0 - 24 h) calculated by the quantification of 11 quality markers; the bone mineralization and motor performance of zebrafish larvae indicated that the optimum efficacy of WFLL at 12 h (p < 0.05) in which the SMCS of P/I/T was converted to 1: 4: 1.8. NP discovered that BMP-Smad pathway is one of the potential mechanisms of FLL in anti PMOP and then regulated bone formation and iron overload simultaneously. MD revealed that 17 active ingredients and 10 core targets genes could spontaneously bind with appropriate affinity. Rats model verified that FLL and WFLL significantly reversed PMOP, based on the improvement in bone formation indexes (ALP, OPG, OGN), iron metabolism indicators (hepcidin, ferritin), bone microstructure (BMD, BV/TV, Tb. Th, Tb. N); Moreover, WFLL significant enhanced reversal effect in anti-PMOP compared to FLL (p < 0.05). FLL and WFLL increased genes and proteins expression (Hep, BMP-6, p-Smad1/5, Smad4) related to BMP-Smad pathway compared with model group, and WFLL was more superior than FLL (p< 0.05).

CONCLUSION

The SMCS of FLL was optimized by wine-steam, WFLL represented a dual effect in downregulating iron overload and promoting bone formation, and the BMP-Smad pathway is one of the potential molecular mechanisms.

Identification of Critical Biomarkers and Mechanisms of Fructus Ligustri Lucidi on Vitiligo Using Integrated Bioinformatics Analysis

Objective

Vitiligo is an autoimmune disease of the skin that targets pigment-producing melanocytes and results in patches of depigmentation that are visible as white spots. Recent research studies have yielded a strong mechanistic understanding of this disease. Fructus Ligustri Lucidi (FLL) has been used for premature graying of hair since ancient China and is currently used to treat vitiligo. However, the key biomarkers and mechanisms underlying FLL in vitiligo remain unclear. This study aimed to identify the potential biomarkers and mechanisms of FLL in vitiligo using network pharmacology analysis.

Methods

The expression profiles of GSE65127 and GSE75819 were downloaded from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) between the vitiligo and healthy samples. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of DEGs were performed using R analyses. We performed R to further understand the functions of the critical targets. Cytoscape tools have facilitated network topology analysis. Molecular docking was performed using Auto Dock Vina software.

Results

The results showed that 13 DEGs were screened in vitiligo. Based on bioinformatics, network pharmacology and Western blot, we found that the critical targets of melanoma antigen recognized by 5,6-dihydroxyindole-2-carboxylic acid oxidase (TYRP1) may be related to the mechanism of action of FLL in the treatment of vitiligo.

Conclusion

TYRP1, as a melanocyte molecular biomarker, may be closely related to the underlying mechanism of FLL in the treatment of vitiligo via the inhibition of melanocyte death.

Simultaneous determination and quality evaluation of 16 compounds in Ligustri Lucidi Fructus covering different regions and processed products using ultra-high-performance liquid chromatography-mass spectrometry

A quantitative analysis method and a chemical pattern recognition method were developed to evaluate raw Ligustri Lucidi Fructus (LLF) from different regions and different processed products. In this study, a comprehensive strategy using ultra-high-performance liquid chromatography-mass spectrometry quantitative analysis method was established for the simultaneous determination of 16 components in 47 batches of LLF covering 19 regions belonging to 8 provinces and 24 batches of different processed products (steamed LLF without auxiliary material, wine-steamed LLF, salt-steamed LLF, and vinegar-steamed LLF). The results of this study indicated that the proposed method was reliable and accurate for the rapid analysis proved by detection limit, quantification limit, precision, and accuracy. Furthermore, principal component analysis and hierarchical cluster analysis were employed to analyze the experimental data, showing that the best-quality samples of 47 batches of raw LLF were S47 (Lantian, Shaanxi), S39 (Pingyang-2, Shandong), S38 (Pingyang-1, Shandong), and S45 (Lingbao, Henan), whereas the worst-quality samples were S7-S16 (Huzhou, Zhejiang). In 24 batches of processed products, the best-quality samples were S48 (salt steamed 2 h), S60 (wine steamed 2 h), and S61 (wine steamed 4 h). Meanwhile, the heat map showed that the contents of triterpenoid saponins, including C16 (ursolic acid), C15 (oleanic acid), and C14 (maslinic acid), were higher than those of other compounds in 71 batches of samples. These results suggested that the quality of raw LLF in the central and northern regions was better than that in the southern regions, and regarding the processed products, different auxiliary materials had little effect on the quality of LLF, but steaming time of 2 h was appropriate. Briefly, this study proposed a multiparameter quantitative analysis method for the overall quality control of raw LLF samples covering different regions in China and different processed LLF.

A stepwise strategy integrating metabolomics and pseudotargeted spectrum–effect relationship to elucidate the potential hepatotoxic components in Polygonum multiflorum

Polygonummultiflorum (PM) Thunb., a typical Chinese herbal medicine with different therapeutic effect in raw and processed forms, has been used worldwide for thousands of years. However, hepatotoxicity caused by PM has raised considerable concern in recent decades. The exploration of toxic components in PM has been a great challenge for a long time. In this study, we developed a stepwise strategy integrating metabolomics and pseudotargeted spectrum–effect relationship to illuminate the potential hepatotoxic components in PM. First, 112 components were tentatively identified using ultraperformance liquid chromatography-quadrupole-time-of-flight-mass spectrometry (UPLC-Q-TOF-MS). Second, based on the theory of toxicity attenuation after processing, we combined the UPLC-Q-TOF-MS method and plant metabolomics to screen out the reduced differential components in PM between raw and processed PM. Third, the proposed pseudotargeted MS of 16 differential components was established and applied to 50 batches of PM for quantitative analysis. Fourth, the hepatocytotoxicity of 50 batches of PM was investigated on two hepatocytes, LO2 and HepG2. Last, three mathematical models, gray relational analysis, orthogonal partial least squares analysis, and back propagation artificial neural network, were established to further identify the key variables affecting hepatotoxicity in PM by combining quantitative spectral information with toxicity to hepatocytes of 50 batches of PM. The results suggested that 16 components may have different degrees of hepatotoxicity, which may lead to hepatotoxicity through synergistic effects. Three components (emodin dianthrones, emodin-8-O-β-D-glucopyranoside, PM 14-17) were screened to have significant hepatotoxicity and could be used as toxicity markers in PM as well as for further studies on the mechanism of toxicity. Above all, the study established an effective strategy to explore the hepatotoxic material basis in PM but also provides reference information for in-depth investigations on the hepatotoxicity of PM.

Untargeted metabolomics coupled with chemometric analysis deducing robust markers for discrimination of processing procedures: Wine-processed Angelica sinensis as a case study

Wine-processed Angelica Sinensis is a widely used Chinese medicinal decoction piece in China. However, there are hardly any robust markers indicating the processing procedure of wine-processed Angelica Sinensis, including the amount of rice wine and processing degree. A strategy integrating untargeted metabolomics and chemometric analysis for deducing robust markers was provided and applied to the discrimination of processing procedure. First, 86 compounds were tentatively identified in wine-processed Angelica Sinensis by ultra-high-performance liquid chromatography coupled with quadrupole-time of flight mass spectrometry. Second, 93 potential chemical markers were selected using multivariate analysis, among which nine robust chemical markers were selected by verification with commercial samples. Finally, the effects of processing temperature, time, and amount of rice wine on the three selected chemical markers were investigated through a rapid analytical method. It was demonstrated that both m/z 258.1097 and 238.1189 were positively correlated with the amount of rice wine and processing degree. In summary, this study introduced two candidate processing markers as robust markers for discriminating the processing procedures of wine-processed Angelica sinensis. It also proposed a strategy to provide the reference for the research of other decoction pieces.

Discovery of minor quality evaluation marker compounds for Chinese patent medicine products using a two-leveled metabolomics strategy

Chinese patent medicines (CPMs) are popularly used in clinical practice. Though the composition is complex, the quality of CPM is usually evaluated by the contents of a few main compounds. In this study, a two-leveled metabolomics strategy was proposed to discover minor marker compounds for different CPM products. Zhenqi Fuzheng (ZQFZ) granule was studied an example, where 15 batches from 3 producers were analyzed. The samples were separated using UHPLC on an Acquity UPLC® HSS T3 column, and then detected using Q-Orbitrap-MS. In the first level, 1475 common peaks were extracted and 95 compounds were identified using diagnostic ions and a homemade database. In the second level, the data were subjected to a two-way hierarchical clustering analysis and screened by variable importance value. In total 14 marker compounds were discovered which were responsible for the grouping of different ZQFZ products. Echinacoside (22), oleoside (13), loganic acid (5), salidroside (7), ligustrosidic acid (42), 6α-hydroxygeniposide (28), and oleoside 11-methyl ester (15) could be used to reflect the quality difference for ZQFZ granule products. The proposed strategy could also contribute to the discovery of quality control markers for other CPMs.

Comparative pharmacokinetics study of six effective components between two dosage forms of Qixue-Shuangbu Prescription in rats by UPLC-MS/MS

Qixue-Shuangbu Prescription (QSP) is an efficacious prescription for treating heart failure, myocardial ischemia and other diseases. It is composed of nine Chinese herbs. This study investigated and compared the pharmacokinetics of QSP in rats by UPLC-MS/MS between two dosage forms of traditional decoction (TD) and compound tincture (CT). Owing to the complexity of the chemicals in QSP, ginsenoside Rg1, ginsenoside Re, ferulic acid, astragaloside IV, rhein and calycosin were chosen for the pharmacokinetics study. The method established for detecting serum specimens was shown to have acceptable selectivity, linearity, lower limit of quantitation, precision, accuracy, recovery, matrix effect and stability. The peak concentration, AUC_0-t and AUC_0-∞ of ginsenoside Re, ginsenoside Rg1, ferulic acid and rhein were significantly increased after oral administration of CT (P < 0.05), the half-life of ferulic acid in the CT group was lower than that in the TD group (P < 0.05) and the half-life and AUC_0-∞ of astragaloside IV in the CT group were significantly increased (P < 0.05), which revealed that wine-processing could influence the bioavailability and the elimination of these compounds. For better clinical efficacy, we suggest that the CT dosage form of QSP should be selected.