Simultaneous quantification combined with multivariate statistical analysis of multiple chemical markers of Wu Ji Bai Feng Pill by UHPLC–MS/MS

Comprehensive identification strategy for rapid profiling of chemical constituents using ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry with Rhubarb as an example

In this study, the collision induced dissociation tandem mass spectrometry (CID-MS/MS) fragmentation pathway of chemical components in rhubarb was wholly explored using 34 standards by UHPLC-QTOF-MS/MS in negative ion mode. In consequently, the diagnostic product ions for speedy screening and categorization of chemical components in rhubarb were ascertained based on their MS/MS splitting decomposition patterns and intensity analysis. According to these findings, a fresh two-step data mining strategy had set up. The initial key step involves the use of characteristic product ions and neutral loss to screen for different types of substituents and basic skeletons of compounds. The subsequent key step is to screen and classify different types of compounds based on their characteristic product ions. This method can be utilized for rapid research, classification, and identification of compounds in rhubarb. A total of 356 compounds were rapidly identified or tentatively characterized in three rhubarb species extracts, including 150 acylglucoside, 125 anthraquinone, 65 flavanols and 15 other compounds. This study manifests that the analytical strategy is feasible for the analysis of complex natural products in rhubarb.

Quality evaluation of commercial herbal products using chemical methods

Herbal products comprise a wide spectrum of locally, nationally or internationally commercialized commodities. As these products have an increasingly important position in healthcare systems worldwide, a detailed product quality assessment is of crucial importance. For the quality evaluation of commercial herbal products, a wide range of methods were used, from simpler, quicker, and cost-effective HPTLC, to hyphenated methods with MS or NMR, where more precise quantification or specific structural information is required. Additionally, most of the methods have been coupled with chemometric tools, such as PCA, or PDA, for the multivariate analysis of the high amount of data generated by chromatograms, electropherograms or spectra. The chemical methods have revealed the widespread presence of low or variable quality herbal products in the marketplace. The majority of analytical investigations present major, qualitative and quantitative, inter-product variations of their chemical composition, ranging from missing ingredients, to strikingly and unnaturally high concentrations of some compounds. Moreover, the inter-batch quality variations were frequently reported, as well as the presence of some undesirable substances. The chemical analysis of herbal products is a vital component to raise the overall awareness of quality in the herbal market and generate a quality driven approach.

Oral traditional Chinese patent medicines combined with non-steroidal anti-inflammatory drugs for primary dysmenorrhea: A protocol for Bayesian network meta-analysis and systematic review

INTRODUCTION

Primary dysmenorrhea (PD) was the most common gynecological disorder, with an increasingly high prevalence worldwide. PD often accompanied other dysmenorrhea-associated symptoms to trigger exacerbations, and even cause depression and anxiety for patients. As the effective first-line medication, non-steroidal anti-inflammatory drugs (NSAIDs) have become widespread across China and combined with oral traditional Chinese patent medicines (TCPMs) for PD in clinical practice. We hope to provide better efficacy and safety evidence about oral TCPMs combined with NSAIDs (oral TCPMs+NSAIDs) for patients with PD by this network meta-analysis.

METHODS AND ANALYSIS

We will perform a Bayesian network meta-analysis of all oral TCPMs+NSAIDs for clinical diagnosis as PD. PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Data Knowledge Service Platform, VIP information resource integration service platform databases, and clinical registers will be searched from the database inception to June 30, 2022 to find randomized controlled trials. Two reviewers will independently screen and check titles and abstracts and read the full text. Data extraction with the same criteria will be conducted by two researchers, including study characteristics, participant characteristics, interventions and comparators, and outcomes. We will perform the network meta-analysis by the Bayesian random method to analyze the direct and indirect comparisons. Meta-regression with multiple covariates will be conducted to find the potential heterogeneity. We will perform the sensitivity analysis to identify the potential effect on the robustness of our results. Evidence certainty of all interventions in outcomes will be identified and assessed by Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) assessment. Funnel plots with Egger test and Begg's test to detect the potential publication bias.

TRIAL REGISTRATION

PROSPERO registration number: CRD42021265675.

Quantification and discovery of quality control chemical markers for Ba-Bao-Dan by UPLC-MS/MS combined with chemometrics

Ba-Bao-Dan (BBD) is a well-known Traditional Chinese medicine (TCM) prescription in China. It was first formulated in approximately 1555 AD. As one of the National Protected TCM, it is widely used to treat jaundice, viral hepatitis, cholecystitis, acute urinary tract infection, cancer, and other diseases. It is a healthcare medicine that is used to prevent many diseases in China. In other Asian countries and in European and American countries, BBD is used as a drug to protect the liver. However, a systematic quality study on BBD chemical markers has not been carried out. This study aimed to establish an ultra-high performance liquid chromatography coupled with triple quadrupole mass spectrometry (UPLC-MS/MS) method for the quantitative determination of 43 compounds in BBD. Furthermore, the method was used to further find chemical markers for quality control through the combination with chemometrics. The modified chromatographic conditions were achieved on Waters Cortecs C₁₈ column (2.1 × 100 mm, 1.6 μm) with a gradient elution consisting of 0.1 % formic acid in water and acetonitrile with methanol (1:1, V/V). All analytes were determined in the multiple reaction monitoring mode. The method was validated for linearity, detection limits, precision, repeatability, stability and accuracy. The method was used to analyze the 43 compounds in 11 batches of BBD samples. Hierarchical cluster analysis and principal component analysis were applied to evaluate intrinsic quality of BBD and to identify the potential chemical markers for quality control. In conclusion, the method rapidly and sensitively determined the 43 compounds, among which 10 compounds, namely, N-Gin R1, Gin Re, Gin Rg1, Gin Rb1, GCA, Gin Rd, CA, TCA, CDCA, and DCA, were considered as the potential chemical markers for BBD quality control.

Antitumor chemical constituents of Toddalia asiatica (Linn) Lam root bark and its rational alternative medicinal parts by multivariate statistical analysis

Toddalia asiatica (Linn) Lam (T. asiatica) as a traditional Miao medicine was investigated to find rational alternative medicinal parts for T. asiatica root bark and its antitumor chemical constituents by quantitative pharmacognostic microscopy, high performance liquid chromatography (HPLC) fingerprint and multivariate statistical analysis. A bivariate correlation analysis method based on microscopic characteristics and content of chemical constituents was established for the first time, there were some regular discoveries between powder microscopic characteristics and common chromatographic peaks of T. asiatica through quantitative pharmacognostic microscopy, cork cells, calcium oxalate square crystal, brown clump, starch granule and phloem fiber, as powder microscopic characteristics may be placed where the main chemical constitutes were enriched. Scores plot of principal component analysis (PCA) and dendrogram of hierarchical clustering analysis (HCA) showed that 18 T. asiatica samples were distinguished correctly, clustered clearly into two main groups as follows: S01∼S03 (root bark) and S07∼S09 (stem bark) in cluster 1, S04∼S06 and S10∼S18 in cluster 2. Nineteen common peaks were obtained in HPLC fingerprint of T. asiatica, loadings plot of PCA indicated seven compounds played important roles in different part of samples (P10 > P08 > P07 > P14 > P16 > P17 > P19), peaks 04, 06, 07, 08, 10 were identified as hesperidin, 4-methoxycinnamic acid, toddalolactone, isopimpinlline and pimpinellin. MTT assay was used to determine the inhibitory activity of different medicinal parts of T. asiatica on human breast cancer MCF-7 cells, all parts of T. asiatica had different inhibitory effects on MCF-7 cell lines, root and stem barks of T. asiatica showed the best inhibitory activity. The relationship between chemical constituents and the inhibitions on MCF-7 cell had been established, significant antitumor constituents of T. asiatica were identified by correlation analysis, the order of the antitumor effect of the main compounds was P07 (toddalolactone) > P16 > P06 (4-methoxycinnamic acid), P11 > P18 > P10 (pimpinellin) > P08 (isopimpinellin) > P01 > P19 > P14 > P04 (hesperidin) > P17, which were antitumor chemical constituents of T. asiatica root bark. T. asiatica stem bark was the most rational alternative medicinal part for T. asiatica root bark.

A novel strategy for screening bioavailable quality markers of traditional Chinese medicine by integrating intestinal absorption and network pharmacology: Application to Wu Ji Bai Feng Pill

BACKGROUND

Major components are often used as marker compounds for quality control of traditional Chinese medicines (TCMs). However, these compounds may not necessarily bioavailable and active in vivo, thereby, failing to control the "quality".

PURPOSE

The purpose of this paper is to develop a novel strategy integrating absorption and activity deduced from network pharmacology to identify more reasonable markers for quality control of TCM formulas using Wu Ji Bai Feng Pill (WJBFP) as an example.

STUDY DESIGN

Human Caucasian colon adenocarcinoma (Caco-2) cell transport studies and a bioavailability-enhanced network pharmacological approach were integrated to identify better phytochemical markers for quality control.

METHODS

The absorption of multiple components in WJBFP was evaluated by a Caco-2 cell culture model. Nine databases were used to identify potential targets in the network pharmacology analysis. Cytoscape 3.7.2 was employed for the network data integration, visualization, and centrality analysis. Molecular docking was carried out to investigate the binding affinity of the identified markers to their candidate targets.

RESULTS

The apparent permeability coefficient (Papp) and efflux ratio (ER) of 66 compounds were determined. Five hundred and two putative targets and 187 primary dysmenorrhea (PD) related targets were identified. Twenty-two candidate targets interacting with 20 potential active compounds were screened with the putative PD related targets intersection network using Degree Centrality (DC) ranking. By integrating absorption, 16 candidate targets interacting with 8 potential active compounds were identified. Besides, 53 compounds hitting candidate targets were divided into two classes according to their DC values. Then each of the two classes of DC was stratified into two groups based on the Papp for a total of four classes. Finally, five compounds belonging to Class 1 with higher DC and higher Papp, formononetin, ferulic acid, isoliquiritigenin, neocryptotanshinone and senkyunolide A, were identified as potential bioavailable phytochemical markers for the quality control of WJBFP against PD. Furthermore, molecular docking analysis validated the interplay between candidate targets and marker ingredients.

CONCLUSION

A novel strategy combining intestinal absorption with network pharmacology analysis was successfully established to identify bioavailable and bioactive markers for quality control of WJBFP against PD.

Evaluation of a multiple and global analytical indicator of batch consistency: traditional Chinese medicine injection as a case study

This paper evaluates a multiple and global analytical indicator of batch consistency in traditional Chinese medicine injections (TCMIs) via a chemometrics tool, which is more comprehensive to appraise quality consistency of different batches of injections than the traditional method of fingerprint similarity. A commonly used TCMI, Salviae miltiorrhizae and ligustrazine hydrochloride injection (SLI), was employed as a model. With the aid of a chemometrics tool (principal component analysis, PCA), evaluation of multiple and global analytical indicators of batch consistency, which included saccharides, phenolic acids and inorganic salts (18 indicators in total), was carried out to appraise the quality consistency of 13 batches of injection provided by the Guizhou Baite Pharmaceutical Co., Ltd. (Guizhou, China). Compared with the traditional HPLC-UV fingerprint similarity evaluation, the method proposed in the paper can more comprehensively and correctly reflect the quality consistency of different batches of injections. In this paper, the multi-index evaluation result showed poor batch consistency, which was more consistent with the determination results, while the fingerprint similarity evaluation results still showed good batch consistency. The HPLC-UV fingerprint reflects only substances with UV absorption, but it is not able to reflect substances without UV absorption or weak UV absorption, which leads to inappropriate conclusions. Therefore, quality consistency of injections can be effectively appraised by evaluation of multiple and global analytical indicators, instead of HPLC-UV fingerprint only. For visualizing the batch consistency of the multiple and global analytical indicators, a heat map was used to represent the fluctuation. Furthermore, critical indicator identification was also applied to select several indicators that should be paid more attention during the process of quality control of injection. And the analysis result showed that Na⁺, fructose (Fru), glucose (Glc), manninotriose (Man), danshensu (DSS) and salvianolic acid B (SAB) are the indicators that should be given more attention when controlling the quality of injections, also called critical quality control indicators. The proposed method provides a reference for the quality control of TCMIs and has broad application potential.

Evaluation of a multiple and global analytical indicator of batch consistency was employed in TCMIs with a multivariate statistical tool.

Quantification of Nineteen Bioactive Components in the Ancient Classical Chinese Medicine Formula of Wen-Dan Decoction and Its Commercial Preparations by UHPLC-QQQ-MS/MS

A UHPLC-QQQ-MS/MS method was developed to quantify the significant constituents in Wen-Dan Decoction (WDD), a traditional Chinese medicine. Analysis of 19 compounds was conducted on an ACQUITY UPLC^® BEH C18 Column (2.1 × 50 mm, 1.7 μm) using elution with a gradient elution of acetonitrile and 0.05% (v/v) formic acid in water. A triple quadrupole mass spectrometer was operated in negative ionization mode and positive ionization mode by multiple reaction monitoring (MRM), respectively. All calibration curves showed acceptable linearity (r ≥ 0.9950). The RSDs of intra- and inter-day precisions of low, mid and high concentrations were ≤ 8.88%. The repeatabilities (RSDs ≤ 7.17%) and stabilities (RSD ≤ 4.79%) of the samples were qualified. The recoveries were found in the range of 93.07 ± 3.86 to 103.98 ± 2.98% with the RSD varying between 1.30 and 7.86%. The final rapid, sensitive, precise, accurate and reliable UHPLC-QQQ-MS/MS method was used for the simultaneous quantification of 19 constituents in WDD and its commercial preparations. The strategy of combining the contents of the 19 chemicals in a daily dose of the WDD preparations with the hierarchical cluster analysis and the 3D principal component analysis was employed to effectively distinguish the WDD preparations provided by the different suppliers, which represents a contribution to the evaluation and control of the quality of WDD (or other decoctions consisting of the same herbs) and the preparations of WDD in other dosage forms such as tablets and granules.