Quality marker identification based on standard decoction of differently processed materials of Ephedrae Herba

Detoxification and underlying mechanisms towards toxic alkaloids by Traditional Chinese Medicine processing: A comprehensive review

BACKGROUND

Alkaloids have attracted enduring interest worldwide due to their remarkable therapeutic effects, including analgesic, anti-inflammatory, and anti-tumor properties, thus offering a rich source for lead compound design and new drug discovery. However, some of these alkaloids possess intrinsic toxicity. Processing (Paozhi) is a pre-treatment step before the application of herbal medicines in traditional Chinese medicine (TCM) clinics, which has been employed for centuries to mitigate the toxicity of alkaloid-rich TCMs.

PURPOSE

To explore the toxicity phenotypes, chemical basis, mode of action, detoxification processing methods, and underlying mechanisms, we can gain crucial insights into the safe and rational use of these toxic alkaloid-rich herbs. Such insights have the great potential to offer new strategies for drug discovery and development, ultimately improving the quality of life for millions of people.

METHODS

Literatures published or early accessed until December 31, 2023, were retrieved from databases including PubMed, Web of Science, and CNKI. The following keywords, such as "toxicity", "alkaloid", "detoxification", "processing", "traditional Chinese medicine", "medicinal plant", and "plant", were used in combination or separately for screening.

RESULTS

Toxicity of alkaloids in TCM includes hepatotoxicity, nephrotoxicity, neurotoxicity, cardiotoxicity, and other forms of toxicity, primarily induced by pyrrolizidines, quinolizidines, isoquinolines, indoles, pyridines, terpenoids, and amines. Factors such as whether the toxic-alkaloid enriched part is limited or heat-sensitive, and whether toxic alkaloids are also therapeutic components, are critical for choosing appropriate detoxification processing methods. Mechanisms of alkaloid detoxification includes physical removal, chemical decomposition or transformation, as well as biological modifications.

CONCLUSION

Through this exploration, we review toxic alkaloids and the mechanisms underlying their toxicity, discuss methods to reduce toxicity, and unravel the intricate mechanisms behind detoxification. These offers insights into the quality control of herbs containing toxic alkaloids, safe and rational use of alkaloid-rich TCMs in clinics, new strategies for drug discovery and development, and ultimately helping improve the quality of life for millions of people.

A comprehensive quality control evaluation for standard decoction of Smilax glabra Roxb based on HPLC-MS-UV/CAD methods combined with chemometrics analysis and network pharmacology

An effective, sensitive, and rapid method was developed for the quality control evaluation of the standard decoction of Smilax glabra Roxb (SGR). SGR is a primary ingredient of the traditional functional foods of turtle jelly and SGR tea. Chemometrics, Network Pharmacology, and molecular docking were used to screen for six quality markers. Multiple extraction parameters were optimized. HPLC-UV/CAD-QAMS was used to rapidly quantify the six quality markers (neoastilbin, astilbin, neoisoastilbin, isoastilbin, quercitrin, and isoengeletin) in 10 batches of the standard decoction of SGR samples. The relative correction factor (RCF) values of the five compounds were close to 1, demonstrating that the charged aerosol detection (CAD) showed a consistent response to compounds with similar parent nucleus structures. This method can serve as a guide for rapid quantitative analysis of the multi-components of the SGR standard decoction and all the traditional functional foods of turtle jelly with the homology of medicine.

Gegen Qinlian standard decoction alleviated irinotecan-induced diarrhea via PI3K/AKT/NF-κB axis by network pharmacology prediction and experimental validation combination

BACKGROUND

The frequently occurred chemotherapy-induced diarrhea (CID) caused by irinotecan (CPT-11) administration has been the most representative side-effects of CPT-11, resulting in the chemotherapy suspension or failure. Our previous studies indicated that Gegen Qinlian formula exhibited a significant alleviation effect on CPT-11-induced diarrhea. However, referencing to Japanese Kampo medicine, the TCM standard decoction would supply the gap between ancient preparation application and modern industrial production.

METHODS

The LC-MS technology combined with network pharmacology was employed to identify the active ingredients and mechanisms of GQD standard decoction for CPT-11-induced diarrhea. The anti-inflammatory activities associated with intestinal barrier function of GQD standard decoction were studied by SN-38 activated NCM460 cells in vitro and CPT-11-induced diarrhea in vivo. Proteins involved in inflammation, mRNA levels, disease severity scores, and histology involved in intestinal inflammation were analysed.

RESULTS

There were 37 active compounds were identified in GQD standard decoction. Network pharmacology analyses indicated that PI3K-AKT signaling pathway were probably the main pathway of GQD standard decoction in CPT-11-induced diarrhea treatment, and PIK3R1, AKT1, NF-κB1 were the core proteins. Moreover, we found that the key proteins and pathway predicted above was verified in vivo and in vitro experiments, and the GQD standard decoction could protect the cellular proliferation in vitro and ameliorate CPT-11-induced diarrhea in mice model.

CONCLUSIONS

This study demonstrated the molecular mechanism of 37 active ingredients in GQD standard decoction against CPT-11-induced diarrhea. And the core proteins and pathway were validated by experiment. This data establishes the groundwork for particular molecular mechanism of GQD standard decoction active components, and this research can provide a scientific reference for the TCM therapy of CID.

Comparative pharmacokinetic studies of Ephedra herba in common cold and nephrotic syndrome rat models

Ephedra herba is a conventional Chinese medicine to treat cold, fever, asthma, edema, and lung diseases in the clinic. At present, most pharmacokinetic studies focus on the pharmacokinetic process of alkaloids in normal animals. However, the non-alkaloid components are also active. In addition, the pharmacokinetic studies under pathological state make more sense for clarifying the material basis of efficacy. In this study, a sensitive and rapid ultra-high-performance-tandem mass spectrometry method was developed and applied to determine nine bioactive components (ephedrine, pseudoephedrine, methylephedrine, (+)-catechin, epicatechin, vitexin, vicenin-2, cinnamic acid, and ferulic acid) in normal, common cold and nephrotic syndrome rats after the oral administration of Ephedra herba. Compared to the normal group, except for ferulic acid, the exposure levels of the other eight components were significantly increased and the plasma clearance clearly declined in common cold rats. Similarly, the exposure levels of seven components other than cinnamic acid and ferulic acid were also significantly augmented and the plasma clearance decreased significantly in nephrotic syndrome rats. In brief, the pathological conditions of the common cold and nephrotic syndrome could lead to alterations in the pharmacokinetics profiles of the nine components, which provide a reference for further exploration of the pharmacodynamics basis of Ephedra herba.

Q-marker identification of Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz. in pulmonary metastasis of liver cancer mice

ETHNOPHARMACOLOGICAL RELEVANCE

Rhizoma Paridis saponins (RPS) as the mainly active components of Paris polyphylla var. yunnanensis (Franch.) Hand.-Mazz., possess tumor therapeutic potential. However, the anti-tumor material basis of RPS in liver cancer pulmonary metastasis remains poorly understood. The objective of this study was to identify the distribution and anti-cancer effects of RPS in liver cancer pulmonary metastatic model.

MATERIALS AND METHODS

In this study, a mouse liver cancer pulmonary metastasis model was established to determine the distribution of different saponins in the tissues by UPLC-MS and plasma protein binding rate.

RESULTS

As a result, RPS prolonged the survival time and inhibited the pulmonary metastasis in H22 injected mice through its underlying mechanism. UPLC-MS identified saponins from RPS such as PVII, PH, PVI, PII, gracillin and PI in tissues, which may be regarded as the Q-markers in RPS. Surprisingly, the concentration of PI, PII and gracillin as diosgenyl saponins was higher than that of pennogenyl saponins in the liver and lung. Besides, plasma protein binding rate of PII was higher than that of PVII.

CONCLUSION

These findings suggested that PVII, PH, PVI, PI, PII and gracillin are regarded as the Q-markers of RPS in liver cancer pulmonary metastasis. The concentration of PI, PII and gracillin as diosgenyl saponins was higher than that of pennogenyl saponins in the liver and lung. It would be helpful for understanding the importance of RPS with anticancer activities in the future.

Exploring the effects of different processing techniques on the composition and biological activity of Platycodon grandiflorus (Jacq.) A.DC. by metabonomics and pharmacologic design

ETHNOPHARMACOLOGICAL RELEVANCE

Platycodon grandiflorus (Jacq.) A.DC. (PG) is a common natural medicine with a history of thousands of years. The processing products were mainly recorded as raw, honey-processed, wine-fried, yellow-fried, and bran-fried PG, which were respectively used for different clinical purposes. Therefore, it is necessary to study the chemical composition and pharmacological activity of PG after processing.

AIM OF THE STUDY

To explore the effects of different processing methods on the composition and biological activity of PG using metabonomics and pharmacologic design.

MATERIALS AND METHODS

UPLC-QTOF-MS combined with multivariate statistical analysis was used to identify different metabolites before and after the processing of PG. Network pharmacology was used to construct the metabolite-target-disease network. CCK-8 assay, flow cytometry, and western blotting were used to detect cell viability, apoptosis, and the expression of related proteins, respectively.

RESULT

A total of 43 differentially expressed metabolites (VIP >10) were detected and identified in the analyzed groups. Based on their chemical nature, these metabolites were divided into five categories, namely, saccharolipids, flavonoid glycosides, alkynes, saponins, and lipids (including fatty acids, phospholipids, fatty aldehydes, and sterols). The content of lipids in the five processed groups (CH, FC, JZ, MZI, and MZG) was found to be higher than that in raw PG. In particular, the processing approaches explored herein increased the contents of many phospholipids, such as, glycerophosphoinositols, phosphatidic acids, and lysophosphatidyle·thanolamines. The 8 metabolites were found by venn diagram to distinguish different processed products (metabolites 2, 6, 19, 20, 21, 26, 28, and 38). The results of network pharmacology analysis showed that the primary anti-cancer targets of 43 metabolites of PG processing products are PIK3CA, Akt, and STAT3, and based on CCK-8 assay, MZI has a significant killing effect on A549 cells, compared to other processing techniques. Moreover, flow cytometry analysis showed that the cells treated with MZI exhibit significantly increased cell apoptosis, and that the effect is dose-dependent. Finally, the western blots performed herein demonstrated that the MZI effectively inhibits the expression of p-Akt and p-STAT3, which is consistent with the network pharmacology results.

CONCLUSION

Depending on the processing technique, the contents of 43 different metabolites in PG were varied significantly. Specifically, the contents of phospholipids and fatty acids increase, whereas the contents of large Mw saponins decrease. Compared to the other investigated processing methods, MZI increases the potential of PG in inducing cell apoptosis and inhibiting cell proliferation by affecting the Akt and STAT3 signaling pathways. The increased levels of 3-O-β-glucopyranosyl polygalacic acid and platycoside F after honey-frying confirm these results.

Material Basis Elucidation and Quantification of Dandelion through Spectrum-Effect Relationship Study between UHPLC Fingerprint and Antioxidant Activity via Multivariate Statistical Analysis

The excessive expression of reactive oxygen species is closely connected to many diseases. Considerable studies have demonstrated dandelion as well as its ingredients exhibited antioxidant activity. However, specific material basis reflecting the antioxidant activity has not been comprehensively investigated. In this study, a spectrum–effect relationship study on dandelion between fingerprinting and antioxidant activity was analyzed in detail, while a UHPLC quantification method developed and completely validated for simultaneous determination of active ingredients in dandelion. With the establishment of dandelion fingerprints of different regions, 24 common peaks were characterized. The classic FRAP method and ABTS methods were then used to detect their antioxidant activity. Partial least squares regression analysis, bivariate correlation analysis and grey correlation method were used to accomplish the spectrum–effect relationship. Eventually, the ingredients with antioxidant activity which could be considered as candidate quality markers of dandelion were discovered through spectrum–effect relationship analysis. The six compounds including caftaric acid, chlorogenic acid, caffeic acid, chicoric acid, isochlorogenic acid A, and isochlorogenic acid C were quantitatively determined. The developed UHPLC assay method was accurate, precise, and reliable. The study has elucidated the antioxidant material basis of dandelion and provided a scientific basis for the quality control of dandelion.

Interactions Between Ephedra sinica and Prunus armeniaca: From Stereoselectivity to Deamination as a Metabolic Detoxification Mechanism of Amygdalin

Mahuang–Xingren (MX, Ephedra sinica Stapf-Prunus armeniaca L.) is a classic herb pair used in traditional Chinese medicine. This combined preparation reduces the toxicity of Xingren through the stereoselective metabolism of its main active ingredient amygdalin. However, whether stereoselectivity is important in the pharmacokinetic properties of amygdalin either in the traditional decoction or in the dispensing granules is unclear. Amygdalin is hydrolyzed to its metabolite, prunasin, which produces hydrogen cyanide by degradation of the cyano group. A comprehensive study of the metabolic pathway of amygdalin is essential to better understand the detoxification process. In this article, the potential detoxification pathway of MX is further discussed with regard to herb interactions. In this study, the pharmacokinetic parameters and metabolism of amygdalin and prunasin were investigated by comparing the traditional decoction and the dispensing granule preparations. In addition, several potential metabolites were characterized in an incubation system with rat liver microsomes or gut microbial enzymes. The combination of Xingren with Mahuang reduces exposure to D-amygdalin in vivo and contributes to its detoxification, a process that can be further facilitated in the traditional decoction. From the in vitro co-incubation model, 15 metabolites were identified and classified into cyanogenesis and non-cyanogenesis metabolic pathways, and of these, 10 metabolites were described for the first time. The level of detoxified metabolites in the MX traditional decoction was higher than that in the dispensing granules. The metabolism of amygdalin by the gut microbial enzymes occurred more rapidly than that by the rat liver microsomes. These results indicated that combined boiling both herbs during the preparation of the traditional decoction may induce several chemical changes that will influence drug metabolism in vivo. The gut microbiota may play a critical role in amygdalin metabolism. In conclusion, detoxification of MX may result 1) during the preparation of the decoction, in the boiling phase, and 2) from the metabolic pathways activated in vivo. Stereoselective pharmacokinetics and deamination metabolism have been proposed as the detoxification pathway underlying the compatibility of MX. Metabolic detoxification of amygdalin was quite different between the two combinations, which indicates that the MX decoctions should not be completely replaced by their dispensing granules.

A pseudotargeted method based on sequential window acquisition of all theoretical spectra mass spectrometry acquisition and its application in quality assessment of traditional Chinese medicine preparation-Yuanhu Zhitong tablet

Quality control plays a key role in the application of Chinese materia medica, especially in the preparation of traditional Chinese medicine. A pseudotargeted analysis method using an ultra-high-performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry that was operated in the sequential window acquisition of all theoretical spectra mode was proposed to explore the chemical markers of traditional Chinese medicine preparation. Full-scan-based untargeted analysis was applied to extract the target ions. After data preprocessing, 302 target ions were extracted and used for the subsequent sequential window acquisition of all theoretical spectra analyses. The established sequential window acquisition of all theoretical spectra-based pseudotargeted approaches exhibited good repeatability and a wide linear range. The established method was successfully applied to discover analytical markers for the Yuanhu Zhitong tablet. After multivariate statistical analysis, 94 potential markers were identified. Ten markers were annotated by matching accurate m/z and product ion information obtained from previous reports. It is clearly indicated that the pseudotargeted analysis could make a great contribution to the quality assessment of traditional Chinese medicine preparation as a newly emerging technique.

An integrated approach to discriminate the quality markers of Traditional Chinese medicine preparation based on multi-dimensional characteristic network: Shenqi Jiangtang Granule as a case

BACKGROUND

Due to the complexity of traditional Chinese medicine (TCM), the current quality evaluation of TCM are difficult to associate with clinical efficacy. Shenqi Jiangtang Granule (SJG), a classical TCM formula, is proven as a therapy for treatment of type II diabetes mellitus (DM) and complications while the substantial basis of the therapeutic effects is not clear.

PURPOSE

The present study proposed an integrated approach to discriminate the quality markers (Q-markers) based on multi-dimensional characteristic network for quality control of TCM.

METHODS

The multi-dimensional characteristic network was established by "Spider-web" mode, which was comprehensively integrating "compatibility-content-activity- efficiency-stability" of the candidate ingredients. The activity dimension was evaluated by the inhibitory activity of SJG on α-glucosidase and aldose reductase. The efficacy dimension was assessed through the association between the compounds and the target pathway of diabetic nephropathy (DN) based on integrated pharmacology platform. Each dimension for the feature network was quantified by multivariate statistical analysis, and regression area of the candidate compounds was constructed in the network. Finally, the candidate compounds were sorted comprehensively by the regression area.

RESULTS

A total of 30 chemical compounds with effective hypoglycemic activity were identified as the potential Q-markers. From the data analysis, three dimensions of activity, efficacy and content performed a greater impact on the regression area of the characteristic network. Among these compounds, ginsenoside Re, ginsenoside Rd, ginsenoside Rg_1, calycosin, ginsenoside Rb₁, formononetin, astragaloside IV, ginsenoside Rf, ginsenoside Rc, notoginsenoside Fe, schisandrol A, gomisin D were screened out as the candidate Q-markers of SJG.

CONCLUSION

The multi-dimensional characteristic network integrating compatibility, content, activity, efficiency and stability is efficient to discriminate the potential Q-markers of TCM prescription. Our results demonstrated that 12 candidate compounds from Panax Ginseng, Radix Astragali and Schisandrae Chinensis might select as Q-markers for qualitative evaluation of SJG.

Effect of decocting on the pesticide residues in Paeoniae radix lactiflora and corresponding exposure risk assessment

Numerous natural preparations in traditional Chinese medicine are prepared as decoctions. Processing factors (PFs) comparing the levels of pesticide residues in decoctions to those in the corresponding unprocessed products should be considered in exposure assessments. Thus, this study determined the residue levels of six pesticides (chlorpyrifos, phoxim, imidacloprid, thiamethoxam, fenpropathrin, and emamectin benzoate), as well as 3,5,6-trichloropyridinol, the primary metabolite of chlorpyrifos, and clothianidin, the main metabolite of thiamethoxam in Baishao, Paeoniae radix lactiflora (Fam. Ranunculaceae). The results showed that significant time-response effects were present for the release of pesticides from P. radix. The PFs calculated were < 1, indicating a significant reduction in pesticide residues after TCM processing. The water solubility and partition coefficient values of the pesticides may have played a basic role in the dissipation of the residues during the TCM decocting process. A risk assessment based on the hazard quotient with PFs revealed that exposure to pesticide residues in P. radix was far below the levels that might pose a health risk. In conclusion, the results presented here are of theoretical and practical value for the safety evaluation of TCMs.

Integrating metabolomic data with machine learning approach for discovery of Q-markers from Jinqi Jiangtang preparation against type 2 diabetes

Background

Jinqi Jiangtang (JQJT) has been widely used in clinical practice to prevent and treat type 2 diabetes. However, little research has been done to identify and classify its quality markers (Q-markers) associated with anti-diabetes bioactivity. In this study, a strategy combining mass spectrometry-based untargeted metabolomics with backpropagation artificial neural network (BP-ANN)-based machine learning approach was proposed to screen Q-markers from JQJT preparation.

Methods

This strategy mainly involved chemical profiling of herbal medicines, statistic processing of metabolomic datasets, detection of different anti-diabetes activities and establishment of BP-ANN model. The chemical features of seventy-eight batches of JQJT extracts were first profiled by using the untargeted UPLC-LTQ-Orbitrap metabolomic approach. The chemical features obtained which were associated with different anti-diabetes activities based on three modes of action were normalized, ranked, and then pre-selected by using ReliefF feature selection. BP-ANN model was then established and optimized to screen Q-markers based on mean impact value (MIV).

Results

Optimized BP-ANN architecture was established with high accuracy of R > 0.9983 and relative low error of MSE < 0.0014, which showed better performance than that of partial least square (PLS) model (R² < 0.5). Meanwhile, the BP-ANN model was subsequently applied to further screen potential bioactive components from the pre-selected chemical features by calculating their MIVs. With this machine learning model, 10 potential Q-markers with bioactivity were discovered from JQJT. The tested anti-diabetes bioactivities of 78 batches of JQJT could be accurately predicted.

Conclusions

This proposed artificial intelligence approach is desirable for quick and easy identification of Q-markers with bioactivity from JQJT preparation.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13020-021-00438-x.

Quality assessment and traceability study of Angelicae Sinensis Radix via binary chromatography, triple quadrupole tandem mass spectrometry, and multivariate statistical analysis

Angelicae Sinensis Radix is a world-renowned herbal medicine originating in China. Owing to many environmental and geographical factors, Angelicae Sinensis Radix from various origins may have a difference in the content of ingredients, which made the confusion in the clinical practice and market. Herein, a binary chromatographic fingerprinting analysis method is developed via hydrophilic interaction chromatography and reversed-phase liquid chromatography to obtain more chemical information. Following that, an ultra-performance liquid chromatography with a triple quadrupole mass spectrometry method is furnished to simultaneously detect 17 ingredients of Angelicae Sinensis Radix gathered from six geographic zones in China. Eventually, the principal component analysis is successfully carried out to classify and differentiate the Angelicae Sinensis Radix from different origins, meanwhile the quantitative volcano plots was used to observe the changes of ingredient trends vividly. Accordingly, the proposed binary chromatography and triple quadrupole tandem mass spectrometry coupled with multivariate statistical analysis can be utilized as a facile and reliable method for origin tracing and quality control of Angelicae Sinensis Radix.

Recent developments in natural products for white adipose tissue browning

Excess accumulation of white adipose tissue (WAT) causes obesity which is an imbalance between energy intake and energy expenditure. Obesity is a serious concern because it has been the leading causes of death worldwide, including diabetes, stroke, heart disease and cancer. Therefore, uncovering the mechanism of obesity and discovering anti-obesity drugs are crucial to prevent obesity and its complications. Browning, inducing white adipose tissue to brown or beige (brite) fat which is brown-like fat emerging in WAT, becomes an appealing therapeutic strategy for obesity and metabolic disorders. Due to lack of efficacy or intolerable side-effects, the clinical trials that promote brown adipose tissue (BAT) thermogenesis and browning of WAT have not been successful in humans. Obviously, more specific means still need to be developed to activate browning of white adipose tissue. In this review, we summarized seven kinds of natural products (alkaloids, flavonoids, terpenoids, long chain fatty acids, phenolic acids, else and extract) promoting white adipose tissue browning which can ameliorate the metabolic disorders, including obesity, dislipidemia, insulin resistance and diabetes. Since natural products are important drug sources and the browning property plays a significant role in not only obesity treatment but also in type 2 diabetes (T2DM) improvement, natural products of inducing browning may be an irreplaceable drug discovery orientation for obesity, diabetes and even other metabolic disorders.

Application of "spider-web" mode in discovery and identification of Q-markers from Xuefu Zhuyu capsule

BACKGROUND

The selection of quality control indicators in a complex system is a key scientific issue for the study of Chinese materia medica (CMM), which is directly related to its safety and efficacy. In order to scientifically understand and control the quality of CMM, quality marker (Q-marker) has been recently raised as a new concept, which provided a novel research idea for the quality control and evaluation of CMM.

PURPOSE

By a new and integrated "spider-web" mode, Q-markers of Xuefu Zhuyu capsule (XZC) were comprehensively uncovered, conducing to great improvement of quality control of XZC.

METHODS

Mainly established by three dimensions derived from six variables including content, stability and activity, "spider-web" mode was constructed to evaluate Q-marker property of candidate compounds by taking regression area of the tested compounds into account.

RESULTS

The candidate compounds with larger regression area were preferentially adopted as Q-markers, which should possess the satisfactorily integrated properties of content, stability and activity. Six compounds, naringin, isoliquiritin, paeoniflorin, protocatechuic acid, neohesperidin and ferulic acid, were identified and preferred as Q-markers of XZC.

CONCLUSION

Based on "spider-web" mode, Q-markers from Xuefu Zhuyu capsule were successfully screened, which would substantially perform quality control of XZC and prove the feasibility of "spider-web" mode in solving the selection of quality control indicators from compound formulae.

Traditional Asian Herbs in Skin Whitening: The Current Development and Limitations

In Asia, the market for whitening cosmetics is expanding rapidly, more and more people prefer to use natural products. Driven by natural product demand and technical advances, herbal research is also developing fast. Lots of studies reported that Asian herbal reagents can reduce melanogenesis, these findings provide evidence for the whitening application of Asian herbs. However, the current development status and challenges of herbal research need attention too. By reviewing these studies, different problems in studying herbal formulas, extracts, and active ingredients were presented. One of the most influential troubles is that the components of herbs are too complex to obtain reliable results. Thus, an understanding of the overall quality of herbal research is necessary. Further, 90 most cited Asian herbal studies on whitening were collected, which were conducted between 2017 and 2020, then statistical analysis was carried out. This work provided a comprehensive understanding of Asian herbal research in skin whitening, including the overall status and quality, as well as the focuses and limitations of these studies. By proactively confronting and analyzing these issues, it is suggested that the focus of herbal medicine research needs to shift from quantity to quality, and the new stage of development should emphasize transformation from research findings to whitening products.

Natural deep eutectic characteristics of honey improve the bioactivity and safety of traditional medicines

ETHNOPHARMACOLOGICAL RELEVANCE

Honey, an important additive with natural deep eutectic solvent (NADES) characteristics, has been used in traditional medicine for thousands of years.

AIM OF THE STUDY

We investigated the quality-improving effects of honey on Astragali Radix (Mikvetch Root) (RA) as an example.

MATERIALS AND METHODS

Decoctions of raw RA, fried RA, honey-fried RA, and a man-made- honey-fried RA were prepared and compared in cell-based bioactivity tests, chemical composition tests, as well as a bioavailability test with calycosin-7-O-β-D-glucoside.

RESULTS

The addition of honey increased the concentrations of active compounds and their oral bioavailability, provided protection against acetylation, and consequently increased their bioactivity. These changes were also observed when a pure NADES-mimicking honey was used.

CONCLUSION

Our findings provide a potential explanation as to why honey has long been used as traditional medicine additives and rationalize the application of honey and honey-like substance in producing pharmaceuticals.

Characterization of the hot and cold medicinal properties of traditional Chinese herbs by spontaneous photon emission ratio of mice

ETHNOPHARMACOLOGICAL RELEVANCE

One important therapeutic characteristic of traditional Chinese medicine (TCM) for its properly-guided clinical prescription is considering the cold and hot medicinal properties of traditional Chinese herbs. According to the TCM theory, the hot and cold medicinal properties are defined by the general responses of a human body to a given herbal medicine. This definition is subjective and ambiguous which attenuates the modernization of TCM. Biological spontaneous photon emission (SE) is a normal phenomenon reflecting the transition of the quantum state of molecules inside an organism. The alteration of its level can indicate the changes of many aspects of the organism including metabolism. Thus, we can exploit this feature to develop a novel and scientific approach to quantitively and objectively characterize the hot and cold medicinal properties of traditional Chinese herbs.

OBJECTIVE

To determine whether SE can be used to characterize the hot and cold medicinal properties of traditional Chinese herbs, this study took advantage of the ultra-weak luminescence detection technology to examine the effects of traditional Chinese herbs with hot or cold medicinal property to the level of SE in mice.

MATERIALS AND METHODS

Mice were intragastrically administered with twenty traditional Chinese herbs harboring cold or hot property for ten consecutive days respectively. During the course of treatment, SE intensity of the abdomen and the back of each individual mouse were measured and recorded. At the end of the treatment, the total antioxidant capacity, superoxide dismutase activity, Na⁺-K⁺-ATPase activity and Ca²⁺-Mg²⁺-ATPase activity in the liver of all mice were examined.

RESULTS

Ratio between the SE intensity of the abdomen and back of mice (defined as SE ratio) was able to distinguish the cold and hot medicinal properties of traditional Chinese herbs. Mice treated with hot herbs and cold herbs have higher and lower SE ratios respectively compared with control mice. Furthermore, levels of selected biochemical indexes in the liver were correlated with most of the SE ratio changes induced by herbal treatment.

CONCLUSIONS

We have developed a novel and promising approach to quantitatively investigate herbal properties and we propose that SE ratio defined in this study can serve as a sensitive parameter to characterize the cold and hot medicinal properties of traditional Chinese herbs.