A Review of the Botany, Traditional Use, Phytochemistry, Analytical Methods, Pharmacological Effects, and Toxicity of Angelicae Pubescentis Radix

A systematic review of the botany, traditional use, phytochemistry, analytical methods, pharmacological effects and pharmacokinetics of NOTOPTERYGII RHIZOMA ET RADIX

ETHNOPHARMACOLOGICAL RELEVANCE

NOTOPTERYGII RHIZOMA ET RADIX (NRR), a traditional Chinese medicine (TCM), has been utilized in China for millennia. Thriving in high-altitude regions with cold climates, wild NRR has been heavily exploited for its significant economic worth, particularly in the medical sector.

THE AIM OF THE REVIEW

This paper presents a comprehensive review of the botany, traditional uses, phytochemistry, analytical methods, quality control, processing methods, pharmacological effects, and pharmacokinetics of NRR. These findings offer valuable insights for future research endeavors and establish a solid groundwork for the judicious clinical utilization of NRR.

MATERIALS AND METHOD

The related information for NRR comes from scientific databases (such as Baidu Scholar, CNKI, Google Scholar, PubMed, Science Direct, Web of Science, SciFinder Scholar, Chinese Herb Classics, Chinese Pharmacopoeia, PhD and MSC Dissertations, etc.).

RESULTS

Currently, components isolated from NRR are identified as coumarins, volatile oils, organic acids, flavonoids, glycosides, polyacetylenes, and trace elements. Most compounds are analyzed using HPLC and GC techniques. NRR exhibits a broad spectrum of pharmacological effects, such as anti-inflammatory, analgesic, antipyretic, antitumor, antiviral, antibacterial, immunosuppressive activities, as well as promoting blood circulation, removing blood stasis, providing neuroprotection, and liver protection.

CONCLUSION

The research on NRR in phytochemistry and pharmacology has made great progress, and some traditional uses have been proven by modern pharmacology. However, because the complex chemical composition of NRR has not been effectively related to its pharmacological action, its mechanism of action has not been clearly expounded. In this review, the processing methods of NRR are summarized, and the exploration of further strengthening the processing mechanism of NRR is put forward, which provides some theoretical help for the clinical application of NRR. Furthermore, the complex chemical composition of NRR makes quality control difficult, so we must study its quality control thoroughly. In order to better develop and utilize NRR, we should establish a reasonable, reliable, and accurate quality control standard, and focus on the relationship between its active components and pharmacodynamic indicators and the study of its mechanism of pharmacological effects.

Identification Analysis of Angelicae sinensis radix and Angelicae pubescentis radix Based on Quantized "Digital Identity" and UHPLC-QTOF-MSE Analysis

Angelicae sinensis radix (ASR) and Angelicae pubescentis radix (APR), as traditional herbal medicines, are often confused and doped in the material market. However, the traditional identification method is to characterize the whole herb with a single or a few components, which do not have representation and cannot realize the effective utilization of unknown components. Consequently, the result is not convincing. In addition, the whole process is time-consuming and labor-intensive. To avoid the confusion and adulteration of ASR and APR as well as to strengthen quality control and improve identification efficiency, in this study, a UHPLC-QTOF-MSE method was used to analyze ASR and APR. Based on digital representation, the shared data with high ionic strength were extracted from different batches of the same herbal medicine as their "digital identity". Further, the above "digital identity" was used as the benchmark for matching and identifying unknown samples to feedback on matching credibility (MC). The results showed that based on the "digital identities" of ASR and APR, the digital identification of two herbal samples can be realized efficiently and accurately at the individual level. And the matching credibility (MC) was higher than 94.00%, even if only 1% of APR or ASR in the mixed samples can still be identified efficiently and accurately. The study is of great practical significance for improving the efficiency of the identification of ASR and APR, cracking down on adulterated and counterfeit drugs, and strengthening the quality control of ASR and APR. In addition, it has important reference significance for developing nontargeted digital identification of herbal medicines at the individual level based on UHPLC-QTOF-MSE and "digital identity", which is beneficial to the construction of digital Chinese medicine and digital quality control.

A new coumarin glucoside from Angelica pubescens

A new coumarin glucoside named angelol A-3'-β-D-glucoside and four known compounds (2-5) were isolated from the root of Angelica pubescens. Their chemical structures were elucidated by extensive spectroscopic methods involving HR-ESI-MS, 1D and 2D NMR. The absolute configuration of compound 1 was confirmed by the CD experiment. All compounds were tested for nitric oxide (NO) inhibitory activity in vitro. The results showed that all compounds exhibited weak to moderate inhibition activities of NO production except compound 5.

Potential Therapeutic Mechanism of Radix Angelicae Biseratae and Dipsaci Radix Herb Pair against Osteoarthritis: Based on Network Pharmacology and Molecular Docking

Background

A major contributor to older disability is osteoarthritis. Radix Angelicae Biseratae (known as Duhuo in China, DH, the dried rhizome of Angelica pubescens) and Dipsaci Radix (known as Xuduan in China, XD, the dried rhizome of Dipsacus asper Wall) herb pair (DXHP) is widely used to treat osteoarthritis, but the underlying molecular mechanisms still have not been revealed. This research aimed to illustrate the therapeutic mechanism of DXHP against osteoarthritis through the techniques of network pharmacology and molecular docking.

Methods

Gene targets for osteoarthritis and active ingredients for DXHP were screened based on the pharmacology public database and the gene-disease target database. The software program Cytoscape was used to visualize the active chemical target-disease gene network. The STRING biological information website was used to investigate protein interactions. On the Metascape bioinformatics website, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were carried out. The molecular docking of the important chemicals and primary targets identified by the aforementioned screening was performed using Autodock software.

Results

Twenty-six active substances from the DXHP that had strong connections to 138 osteoarthritis-related targets were screened out. According to network analysis, TNF, GAPDH, IL-6, AKT-1, IL-1B, and VEGFA are prospective therapeutic targets, while osthole, cauloside A, ammidin, angelicone, beta-sitosterol, and asperosaponin VI may be significant active components. 1705 biological processes (BP), 155 molecular functions (MF), and 89 cellular components (CC) were identified by GO analysis. KEGG analysis indicated that IL-17, NF-kappa B, HIF-1, MAPK, and AGE-RAGE signaling pathways are potentially involved. Molecular docking showed that cauloside A, osthole, and β-sitosterol have excellent binding activity with main targets.

Conclusions

This study comprehensively illuminated the active ingredients, potential targets, primary pharmacological effects, and relevant mechanisms of the DXHP in the treatment of OA. These findings provide fresh thoughts into the therapeutic mechanisms of the main active ingredients of DXHP and provide a reference for further exploration and clinical applications of DXHP.

Comparison of Pharmacokinetic Profiles of 14 Major Bioactive Components in Normal and Arthritic Model Rats after Oral Administration of Angelicae pubescentis Radix by UPLC-MS/MS

An ultraperformance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method was established to simultaneously determine 14 compounds of Angelicae pubescentis Radix (APR) in normal and arthritis rat plasma in which chloramphenicol and daidzein were used as the internal standards. After protein precipitation with acetonitrile, separation was carried out on a Thermo Hypersil GOLD C₁₈ column using gradient elution with 0.1% formic acid aqueous and acetonitrile consisting as the mobile phase at a flowing rate of 0.3 mL/min. A Thermo TSQ QUANTIS triple quadrupole mass spectrometer was used to detect 14 compounds in positive/negative ion exchange mode and this study was the first to investigate the pharmacokinetic changes of the active compounds in rats under the pathological state of arthritis. The method was verified and the results showed that the intra- and interday precision, accuracy, matrix effect, and extraction recovery were all acceptable, and the analytes were stable under different storage conditions. In addition, the pharmacokinetic behaviors of the 14 compounds were significantly different in model rats compared with normal rats. This indicated that the pharmacokinetic behavior of drugs will vary with the pathological state of the body, which suggested that individualized and reasonable drug administration plans should be formulated for different pathological states in clinical practice. This study provided a scientific basis and data support for better understanding the pharmacodynamic substance basis and clinical application of APR against arthritis.