Chemical profiling and quantification of Tanreqing injection, a systematic quality control strategy equipped with UPLC-Q-Orbitrap fusion MS

Methodology for the selection and evaluation of outcomes for Chinese herbal injection in acute exacerbation of chronic obstructive pulmonary disease (AECOPD): a comprehensive study

OBJECTIVE

To develop a comprehensive framework for selecting outcomes in evaluating the clinical efficacy of Chinese herbal injections and to scientifically select outcomes for the clinical randomized controlled trial (RCT) of Tan-Re-Qing injection intervening AECOPD.

METHODS

A comprehensive literature review and consensus methods, including focus groups and Delphi surveys, were utilized.

RESULTS

Literature analysis identified 513 publications, encompassing regulatory guidance, guidelines, expert consensus, and RCTs. Initial dimensions include clinical efficacy, safety, and health economics. Primary outcomes should align with study objectives. Recommended evaluation domains include death, treatment outcome, future impact, quality of life, and safety. Commonly recommended outcomes comprise mortality, arterial blood gases, CAT, exacerbation frequency, adverse events, and lung function. Network meta-analysis identified specific therapeutic efficacy markers (white blood cell count, IL-6, IL-8). Quality of life assessment recommended SF-12, EQ-5D, or CAT. Emphasis on AECOPD frequency and lung function was noted. Delphi survey yielded 41 outcomes across various domains for evaluating Tan-Re-Qing in AECOPD.

CONCLUSION

The findings contribute to developing a robust and reliable trial design for Tan-Re-Qing injection in AECOPD. The methodology employed in this study ensures a systematic and comprehensive approach to the selection of outcomes for the clinical evaluation of future studies in this field.

Multiplexing Quadrupole and Ion Trap Operation Modes on a "Brick" Miniature Mass Spectrometer

Although a quadruple mass analyzer and an ion trap mass analyzer have complementary analytical features, they usually have different geometries, operational modes, and electronic control systems. As a continuous effort to extend its coverage, both quadrupole and ion trap operation modes were realized on a "brick" miniature mass spectrometer with a single mass analyzer. In the quadrupole operation mode, low-mass ions ranging from 31 to 502 Th can be analyzed. On the other hand, the ion trap mode can be utilized to cover ions with higher mass to charge ratios (up to 922 Th), as well as performing tandem mass spectrometry. To realize the multiplexing of both operation modes, a printed circuit board (PCB)-based multi-electrode quadrupole-ion trap mass analyzer was designed and integrated in the system. To cover both volatile and non-volatile molecules, two ionization sources were also implemented, including a nano electrospray ionization source and an in-vacuum plasma ionization source. Performances of the instrument operated in these two modes were characterized, such as mass resolution, sensitivity, and mass range. Results demonstrate that the combination of the quadrupole and ion trap operation modes can provide new capabilities when solving analytical problems.

Profiling of primary and phytonutrients in edible mahlab cherry (Prunus mahaleb L.) seeds in the context of its different cultivars and roasting as analyzed using molecular networking and chemometric tools

Prunus mahaleb L. (mahlab cherry) is a deciduous plant that is native to the Mediterranean region and central Europe with a myriad of medicinal, culinary and cosmetic uses. The present study explored different cultivars of mahlab (white from Egypt and Greece, red from Egypt and post roasting). UPLC-MS led to the detection of 110 primary and secondary metabolites belonging to different classes including phenylpropanoids (hydroxy cinnamates, coumaroyl derivatives), organic acids, coumarins, cyanogenic glycosides, flavonoids, nitrogenous compounds, amino acids and fatty acids, of which 39 are first time to be detected in Prunus mahaleb L. A holistic assessment of metabolites was performed for further analysis of dataset using principal component analysis (PCA) among mahlab cultivars to assess variance within seeds. The results revealed that phenolic acids (coumaric acid-O-hexoside, ferulic acid-O-hexoside, ferulic acid-O-hexoside dimer, dihydrocoumaroyl-O-hexoside dimer and ferulic acid), coumarins (coumarin and herniarin) and amino acids (pyroglutamic acid) were abundant in white mahlab cultivars (cvs.) from different locations. In contrast, red mahlab and its roasted seeds were more rich in organic acids (citric and malic acids), amygdalin derivative and sphingolipids. Orthogonal projections to latent structures discriminant analysis (OPLS-DA) revealed for markers in red mahlab and in response to roasting, where red mahlab was rich in nitrogenous compounds viz. nonamide, deoxy fructosyl leucine, glutaryl carnitine and isoleucine, while roasted product (REM) was found to be enriched in choline.

Network pharmacology combined with pharmacodynamics revealed the anti-inflammatory mechanism of Tanreqing capsule against acute-exacerbation chronic obstructive pulmonary disease

Acute-exacerbation chronic obstructive pulmonary disease (AECOPD) is mainly associated with acute respiratory tract infection. In recent years, a growing number of studies have found that Tanreqing capsule (TRQ) has a favorable anti-inflammatory effect. In this study, we used network pharmacology and pharmacodynamics to explore the molecular mechanism and effects of TRQ in AECOPD treatment. To further understand the molecular mechanism of TRQ in AECOPD treatment, we used the network pharmacology to predict components of TRQ, TRQ-related targets, AECOPD-related targets, and pathways. In addition, we used the cigarette-smoke/lipopolysaccharide -induced AECOPD experimental model in Sprague-Dawley rats (72 rats randomly divided into six groups [n = 12 each]: control, model, high-TRQ [TRQ-H], medium-TRQ [TRQ-M], low-TRQ, and dexamethasone [Dex]) to evaluate the therapeutic effects of TRQ and to verify the network pharmacology. We found that 59 overlapping targets based on component-and AECOPD-related targets were frequently involved in the advanced glycation end product-receptor for advanced glycation end product signaling pathway in diabetic complications, the phosphatidylinositol-3-kinase-protein kinase B signaling pathway, and the hypoxia-inducible factor 1 signaling pathway, which might play important roles in the anti-inflammatory mechanism of TRQ in AECOPD treatment. Moreover, TRQ groups exerted protective effects against AECOPD by reducing the infiltration of inflammatory cells. Meanwhile, TRQ-M and TRQ-H groups significantly downregulated or upregulated the expression of tumor necrosis factor, interleukin (IL) 6, C-reactive protein, IL10, and serum amyloid A, as key targets in network pharmacology, in the serum and bronchoalveolar lavage fluid to achieve anti-inflammatory efficacy. Our study showed that TRQ had better anti-inflammatory efficacy against AECOPD, and initially elucidated its molecular mechanism. Moreover, our study also provides a new strategy to explore effective mechanism of TRQ against AECOPD; and further studies are needed to validate the biological processes and pathways of TRQ against AECOPD.

Advances in analytical techniques and quality control of traditional Chinese medicine injections

Traditional Chinese medicine injections (TCMIs) are a new pharmaceutical form in the modernization of traditional Chinese medicines (TCMs). Its efficacy is rapid, the curative effect is improved, and is widely used in critical and acute diseases, complicated and severe diseases, and other treatment. However, with the broad applications of TCMIs, clinical adverse reactions frequently occur, and safety problems become more prominent. Therefore, the quality control of TCMIs is essential. Chemical analysis methods and biological analysis methods are widely used in the quality control of TCMIs. This article describes the current status of TCMIs, the analytical techniques, and methods currently used, and the quality control of TCMIs. A summary of the advantages and disadvantages of the current analysis methods is presented. An overview of the quality control of TCMIs is introduced. In addition, emerging techniques of the quality control of TCMIs are introduced.

Systematic investigation of the pharmacological mechanism of Tanreqing injection in treating respiratory diseases by UHPLC/Q-TOF-MS/MS based on multiple in-house chemical libraries coupled with network pharmacology

Tanreqing injection (TRQI), a drug approved by the National Drug Regulatory Authority of China (China SFDA, number: Z20030045), is widely used clinically to treat respiratory diseases. However, as a complex system, the pharmacological mechanism of TRQI for the treatment of respiratory diseases is still unclear. TRQI contains three Chinese medicines that make up the classic Chinese compound formulas Shuang-Huang-Lian (SHL). Moreover, it is known that SHL components are beneficial for characterizing the chemical compounds of TRQI. Therefore, in this study, we applied UHPLC/Q-TOF-MS/MS analysis based on multiple chemical compound libraries to identify the chemical profiles of TRQI and used network pharmacology to predict the potential targets of TRQI active compounds. First, three chemical libraries related to TRQI were created, including the TRQI in-house library, SHL in-house library, and targeted Metlin library. An integrated TRQI library was established by combining three chemical libraries for the identification and characterization of the chemical profiles of TRQI. Second, the potential targets of TRQI active compounds were predicted with the Swiss Target Prediction and TCMSP databases, and targets of respiratory disease were collected from the GeneCards database. Then, the network between the active compounds and common targets was established by Cytoscape 3.7.1. The common targets were imported into the STRING database to construct protein-protein interaction (PPI) networks and select core targets of TRQI against respiratory diseases. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway enrichment analyses of the core targets were performed by the Omicsbean analytic system and DAVID database, respectively. As a result, a total of 126 compounds were identified, and network pharmacological analysis showed that luteolin, wogonin, baicalein, chenodeoxycholic acid, l-serine, aspartic acid, oroxylin A, syringin, phenylalanine, and glutamic acid could be the active compounds of TRQI; GABBR1, MAPK3, GRM5, FOS, DRD2, GRM1, VEGFA, GRM3 and 92 other potential core targets for the treatment of respiratory diseases by modulating pathways in cancer, the calcium signaling pathway, cAMP signaling pathway, estrogen signaling pathway and TNF-α signaling pathway.