Multi-Evaluating Strategy for Siji-kangbingdu Mixture: Chemical Profiling, Fingerprint Characterization, and Quantitative Analysis

New Quality Evaluation of Qizhi Xiangfu Pills Based on Fingerprint with Chemometric Analysis and Quantitative Analysis of Multi-Components by Single Marker

Qizhi Xiangfu Pills (QZXFPs) is one of the most commonly used traditional Chinese medicine preparations for the treatment of dysmenorrhea, but the existing quality evaluation standards have certain shortcomings and deficiencies. An effective and scientific quality evaluation method plays a vital role in medication safety. In this study, fingerprint combined with chemometric analysis and quantitative analysis of multi-components by a single marker (QAMS) method was used to comprehensively evaluate the quality of QZXFPs. The fingerprints of 28 batches samples were established and 23 common peaks were distinguished, of which 7 peaks were identified as albiflorin, paeoniflorin, baicalin, ligustilide, cyperotundone, nootkatone and α-cyperone. The content of these seven active ingredients was determined simultaneously by the QAMS method and there was no significantly different between QAMS and the external standard method. Additionally, similarity analysis, hierarchical cluster analysis, principal component analysis and orthogonal partial least squares discrimination analysis were applied for classifying the 28 batches of samples, and to find the main components causing the quality differences between different batches. In conclusion, the established method can comprehensively evaluate the consistency of quality between different batches and provide a reference for formulation quality evaluation to ensure safe and effective application of QZXFPs.

Comprehensive Quality Evaluation of Qizhi Xiangfu Pills Based on Quantitative Analysis of Multi-Components by a Single Marker Combined with GC Fingerprints and Chemometrics

BACKGROUND

Qizhi Xiangfu Pills (QXPs) are a traditional Chinese medicine (TCM) used clinically for qi stagnation and blood stasis. The current quality control of QXPs in the ministry standards and the reported literature is minimal, and requires improvement.

OBJECTIVE

This study aimed to analyze and determine the active ingredients in QXPs for its overall evaluation.

METHODS

In this study, a quantitative analysis of multi-components by a single marker (QAMS) method was established to simultaneously determine caryophyllene oxide, cyperotundone, ligustilide, and α-cyperone in QXPs by GC. Moreover, the GC fingerprints of 22 batches of samples were also established, and the common peaks were initially identified by GC-MS, then classified in various dimensions using chemometric methods, and the main markers causing the discrepancies between groups were analyzed by orthogonal partial least-squares discrimination analysis (OPLS-DA).

RESULTS

Compared with an internal standard method (ISM), the determination results obtained by QAMS had no significant difference. Twenty-two common peaks were distinguished in the fingerprint of 22 batches of QXPs, 17 of which were identified, and the similarity of the fingerprints was greater than 0.898. The 22 batches of QXPs were roughly divided into 3 categories, and 12 main markers causing the discrepancies were discovered.

CONCLUSION

The established QAMS method combined with the GC fingerprint and chemometrics is convenient and feasible, which helps to improve the quality evaluation of QXPs and provides a demonstration for the related study of compound preparations and single herbs.

HIGHLIGHTS

QAMS combined with a GC fingerprint and chemometrics method was established to evaluate the quality of QXPs for the first time.

Natural Products for the Prevention and Treatment of Common Cold and Viral Respiratory Infections

The common cold is generally considered a usually harmless infectious disease of the upper respiratory pathway, with mostly mild symptoms. However, it should not be overlooked, as a severe cold can lead to serious complications, resulting in hospitalization or death in vulnerable patients. The treatment of the common cold remains purely symptomatic. Analgesics as well as oral antihistamines or decongestants may be advised to relieve fever, and local treatments can clear the airways and relieve nasal congestion, rhinorrhea, or sneezing. Certain medicinal plant specialties can be used as therapy or as complementary self-treatment. Recent scientific advances discussed in more detail in this review have demonstrated the plant's efficiency in the treatment of the common cold. This review presents an overview of plants used worldwide in the treatment of cold diseases.

Establishment of Quality Evaluation Method for Yinqiao Powder: A Herbal Formula against COVID-19 in China

Yinqiao powder, with significant anti-inflammatory and antiviral effects, is a classical formula for the treatment of febrile diseases in China. During the SARS period in 2003, Yinqiao powder showed a good antipyretic effect. It also plays a major role in the treatment for COVID-19 in China. Although there are many studies on the chemical compositions and pharmacological effects of Yinqiao powder, there are few studies on the quality standard system of it. In our study, a systematic quality evaluation method of Yinqiao powder combining HPLC fingerprint with quantitative analysis of multi-components by single marker (QAMS) based on network pharmacology and UPLC-Q-Exactive-Orbitrap-MS was established for the first time. In the UPLC-Q-Exactive-Orbitrap-MS experiment, a total of 53 compounds were identified in the extract solution of Yinqiao powder. In addition, 33 blood components were characterized, 23 of which were prototypes. The results of network pharmacology analysis showed that Yinqiao powder may inhibit inflammatory responses by suppressing IL-6, CXCL2, TNFα, NF-κB, etc., in the treatment of COVID-19. The HPLC fingerprint analysis of Yinqiao powder was conducted at 237 nm and 29 characteristic peaks were matched, 11 of which were identified. Forsythoside A was selected as the internal standard reference and double-wavelength (237 nm and 327 nm) was established in QAMS experiment. The repeatability was well under different conditions, and the results measured by QAMS were consisted with that of the external standard method (ESM), indicating that the QAMS method was reliable and accurate. The quality evaluation method of Yinqiao powder would be helpful to evaluate the intrinsic quality of Yinqiao powder more comprehensively, which is conducive to improve the quality standard of Yinqiao powder and provide a beneficial guarantee for the clinical treatment of COVID-19.

Glycyrrhizin through liquorice intake modulates ACE2 and HMGB1 levels-A pilot study in healthy individuals with implications for COVID-19 and ARDS

Background

Glycyrrhizin, an active component of liquorice root extract, exhibits antiviral and immunomodulatory properties by direct inhibition of the pro-inflammatory alarmin HMGB1 (High-mobility group box 1).

Objective

The aim of this study was to explore the role of liquorice intake on the viral entry receptor ACE2 (angiotensin-converting enzyme 2) and the immunoregulatory HMGB1 in healthy individuals and to explore HMGB1 expression in coronavirus disease 2019 (COVID-19) or non-COVID-19 in ARDS (acute respiratory distress syndrome patients).

Material and methods

This study enrolled 43 individuals, including hospitalised patients with i) acute respiratory distress syndrome (ARDS) due to COVID-19 (n = 7) or other underlying causes (n = 12), ii) mild COVID-19 (n = 4) and iii) healthy volunteers (n = 20). Healthy individuals took 50 g of liquorice (containing 3% liquorice root extract) daily for 7 days, while blood samples were collected at baseline and on day 3 and 7. Changes in ACE2 and HMGB1 levels were determined by Western blot analysis and enzyme-linked immunosorbent assay, respectively. Additionally, HMGB1 levels were measured in hospitalised COVID-19 patients with mild disease or COVID-19 associated acute respiratory distress syndrome (ARDS) and compared with a non-COVID-19-ARDS group.

Results

Liquorice intake significantly reduced after 7 days both cellular membranous ACE2 expression (-51% compared to baseline levels, p = 0.008) and plasma HMGB1 levels (-17% compared to baseline levels, p<0.001) in healthy individuals. Half of the individuals had a reduction in ACE2 levels of at least 30%. HMGB1 levels in patients with mild COVID-19 and ARDS patients with and without COVID-19 were significantly higher compared with those of healthy individuals (+317%, p = 0.002), but they were not different between COVID-19 and non-COVID-19 ARDS.

Conclusions

Liquorice intake modulates ACE2 and HMGB1 levels in healthy individuals. HMGB1 is enhanced in mild COVID-19 and in ARDS with and without COVID-19, warranting evaluation of HMGB1 as a potential treatment target and glycyrrhizin, which is an active component of liquorice root extract, as a potential treatment in COVID-19 and non-COVID-19 respiratory disease.

Visualization of a Machine Learning Framework toward Highly Sensitive Qualitative Analysis by SERS

Surface-enhanced Raman spectroscopy (SERS), providing near-single-molecule-level fingerprint information, is a powerful tool for the trace analysis of a target in a complicated matrix and is especially facilitated by the development of modern machine learning algorithms. However, both the high demand of mass data and the low interpretability of the mysterious black-box operation significantly limit the well-trained model to real systems in practical applications. Aiming at these two issues, we constructed a novel machine learning algorithm-based framework (Vis-CAD), integrating visual random forest, characteristic amplifier, and data augmentation. The introduction of data augmentation significantly reduced the requirement of mass data, and the visualization of the random forest clearly presented the captured features, by which one was able to determine the reliability of the algorithm. Taking the trace analysis of individual polycyclic aromatic hydrocarbons in a mixture as an example, a trustworthy accuracy no less than 99% was realized under the optimized condition. The visualization of the algorithm framework distinctly demonstrated that the captured feature was well correlated to the characteristic Raman peaks of each individual. Furthermore, the sensitivity toward the trace individual could be improved by least 1 order of magnitude as compared to that with the naked eye. The proposed algorithm distinguished by the lesser demand of mass data and the visualization of the operation process offers a new way for the indestructible application of machine learning algorithms, which would bring push-to-the-limit sensitivity toward the qualitative and quantitative analysis of trace targets, not only in the field of SERS, but also in the much wider spectroscopy world. It is implemented in the Python programming language and is open-source at https://github.com/3331822w/Vis-CAD.

Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines

Herbal drugs or herbal medicines (HMs) have a long-standing history as natural remedies for preventing and curing diseases. HMs have garnered greater interest during the past decades due to their broad, synergistic actions on the physiological systems and relatively lower incidence of adverse events, compared to synthetic drugs. However, assuring reproducible quality, efficacy, and safety from herbal drugs remains a challenging task. HMs typically consist of many constituents whose presence and quantity may vary among different sources of materials. Fingerprint analysis has emerged as a very useful technique to assess the quality of herbal drug materials and formulations for establishing standardized herbal products. Rather than using a single or two marker(s), fingerprinting techniques take great consideration of the complexity of herbal drugs by evaluating the whole chemical profile and extracting a common pattern to be set as a criterion for assessing the individual material or formulation. In this review, we described and assessed various fingerprinting techniques reported to date, which are applicable to the standardization and quality control of HMs. We also evaluated the application of multivariate data analysis or chemometrics in assisting the analysis of the complex datasets from the determination of HMs. To ensure that these methods yield reliable results, we reviewed the validation status of the methods and provided perspectives on those. Finally, we concluded by highlighting major accomplishments and presenting a gap analysis between the existing techniques and what is needed to continue moving forward.

A multi-evaluating strategy for Weikangling capsules: Chemical profiling, fingerprinting combined with quantitative analysis, quantity transfer, and dissolution curve

Weikangling capsules (WKLCs), a Chinese patent medicine consisting of 8 Chinese drugs, have been widely used in clinic to treat gastrointestinal diseases for more than 30 years. The current "Chinese Pharmacopoeia" (2020 Edition, ChP2020) uses paeoniflorin content (≥ 1.0 mg per capsule) as the standard of quality control, but it is insufficient to evaluate the overall quality of WKLCs. An efficient and economic method for quality control is urgently needed to ensure the quality consistency and clinical effects of WKLCs. Herein, a systematic and reliable method for the rapid analysis of chemical components in WKLCs was established for the first time based on ultra-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS). A total of 115 components covering 7 herbs in WKLCs were preliminarily identified by comparison with standard substances or literature. To evaluate the quality of 26 batches of WKLCs, a new method of fingerprinting combined with quantitative analysis was established, and 16 common peaks were selected to establish the fingerprint similarity model (similarity>0.90). Simultaneously, the contents of albiflorin, paeoniflorin, dactylorhin A, militarine, and glycyrrhizic acid were determined to be 0.82 ± 0.22, 2.09 ± 0.24, 1.15 ± 0.40, 3.73 ± 0.76 and 0.99 ± 0.20 mg/capsule, respectively. The transfer rates and dissolution curves of the five compounds were successfully detected in WKLCs, and the average transfer rates were 67.2%, 33.0%, 68.3%, 54.7%, and 33.7%, respectively. Notably, the dissolution profiles of different manufacturers presented remarkable differences in pH 1.2 hydrochloric acid solution. This method not only qualitatively identified the chemical components of Chinese patent medicines at the microlevel but also evaluated the quality consistency between batches at the macrolevel, which provided a comprehensive reference for the quality consistency of Chinese patent medicines between batches.

Simultaneous Determination of Eight Chemical Components in Angelicae Sinensis Radix and Its Herbal Products by QAMS

A HPLC method has been developed for simultaneously detecting chlorogenic acid, ferulic acid, senkyunolide I, senkyunolide H, coniferyl ferulate, senkyunolide A, ligustilide, and levistolide A in Angelicae Sinensis Radix through quantitative analysis of multicomponents by single-marker (QAMS) method with ferulic acid as internal standard substance. The relative analysis correction factors of each component in Angelicae Sinensis Radix have good reproducibility under different chromatography conditions. In addition, no significant difference of results was found between quantitative analysis of multicomponents by single-marker (QAMS) method and external standard method in determining content of these components of different Angelicae Sinensis Radix and its 12 kinds of preparations. As a result, the established QAMS method for Angelicae Sinensis Radix analysis with ferulic acid as internal standard substance is accurate and feasible, which could be used as an effective and economical method to control quality of Angelicae Sinensis Radix and its herbal products.

Glycyrrhizin: An alternative drug for the treatment of COVID-19 infection and the associated respiratory syndrome?

Safe and efficient drugs to combat the current COVID-19 pandemic are urgently needed. In this context, we have analyzed the anti-coronavirus potential of the natural product glycyrrhizic acid (GLR), a drug used to treat liver diseases (including viral hepatitis) and specific cutaneous inflammation (such as atopic dermatitis) in some countries. The properties of GLR and its primary active metabolite glycyrrhetinic acid are presented and discussed. GLR has shown activities against different viruses, including SARS-associated Human and animal coronaviruses. GLR is a non-hemolytic saponin and a potent immuno-active anti-inflammatory agent which displays both cytoplasmic and membrane effects. At the membrane level, GLR induces cholesterol-dependent disorganization of lipid rafts which are important for the entry of coronavirus into cells. At the intracellular and circulating levels, GLR can trap the high mobility group box 1 protein and thus blocks the alarmin functions of HMGB1. We used molecular docking to characterize further and discuss both the cholesterol- and HMG box-binding functions of GLR. The membrane and cytoplasmic effects of GLR, coupled with its long-established medical use as a relatively safe drug, make GLR a good candidate to be tested against the SARS-CoV-2 coronavirus, alone and in combination with other drugs. The rational supporting combinations with (hydroxy)chloroquine and tenofovir (two drugs active against SARS-CoV-2) is also discussed. Based on this analysis, we conclude that GLR should be further considered and rapidly evaluated for the treatment of patients with COVID-19.