Geoherbalism Metabolomic Analysis of Atractylodes lancea (Thunb.) DC. by LC-Triple TOF-MS/MS and GC-MS.

The rhizome of Atractylodes lancea (Thunb.) DC. (AL), called Maocangzhu in Chinese, is a geoherbalism medical herb in Jiangsu Province that is often used in the prescription of traditional Chinese medicine (TCM), such as for the treatment of COVID-19. The landform and climatic environment of each province varies greatly from south to north, which has an important influence on the chemical constituents in AL. However, there is a lack of research on the significance of its geoherbalism, especially in water-soluble parts other than volatile oil. In this study, eight known compounds were isolated and obtained as reference substances from AL. In addition, liquid chromatography coupled with triple-quadrupole time-of-flight tandem mass spectrometry (LC-triple TOF-MS/MS) and gas chromatography-mass spectrometry (GC-MS) were used to analyze and characterize chemical constituents from different habitats. Moreover, orthogonal partial least-squares discriminant analysis (OPLS-DA) was applied to reveal the differential metabolomics in AL from different habitats based on the qualitative information of the chemical constituents. Results showed that a total of 33 constituents from GC-MS and 106 constituents from LC-triple TOF-MS/MS were identified or inferred, including terpenoids, polyacetylenes, and others; meanwhile, the fragmentation pathways of different types of compounds were preliminarily deduced from the fragmentation behavior of the major constituents. According to the variable importance in projection (VIP) and p-values, only one volatile differential metabolite was identified by GC-MS screening: ß-eudesmol. Overall, five differential metabolites were identified by LC-triple TOF-MS/MS screening: sucrose, 4(15),11-eudesmadiene; atractylenolide I, 3,5,11-tridecatriene-7,9-diyne-1,2-diacetate, and (3Z,5E,11E)-tridecatriene-7,9-diynyl-1-O-(E)-ferulate. This study provides metabolomic information for the establishment of a comprehensive quality evaluation system for AL.

Study on the processing chemistry of Fructus Psoraleae by a combination of untargeted and targeted metabolomics.

Fructus Psoralea is widely used to treat osteoporosis and skin inflammatory diseases. Because of the side effects on the liver, renal and cardiovascular systems, it is processed to salt-processed Fructus Psoraleae to meet the requirements of clinical use. However, the mechanisms involved in the transformation of the chemical components are unclear. In this study, ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry was used to analyze the chemical profiles of this herbal medicine and the chemical transformation mechanism involved during the salt processing was studied. A total of 83 compounds were identified. Principal component analysis and orthogonal partial least squares discriminate analysis were used to observe the distribution trend of all samples and visualize the difference. Raw and processed Fructus Psoraleae were clearly clustered into two groups. Furthermore, 17 marker compounds were identified as primary contributors to their differences based on t-test analysis (p < 0.01) and orthogonal partial least squares discriminate analysis (variable importance for the projection > 1). Finally, ultra-high performance liquid chromatography coupled with triple quadrupole tandem mass spectrometry was used to evaluate the quality of Fructus Psoraleae by simultaneous analysis of 13 components highly related to efficacy. There were variations in the contents of 13 chemicals of Fructus Psoraleae and salt-processed products. The results of untargeted and targeted metabolomics revealed that salt processing affected the chemical composition of Fructus Psoraleae.

Based on UPLC/MS/MS and Bioinformatics Analysis to Explore the Difference Substances and Mechanism of Curcumae Radix (Curcuma wenyujin) in Dysmenorrhea.

BACKGROUND: Curcumae Radix (CW) is traditionally used to treat dysmenorrhea caused by uterine spasm. However, the changes of its composition and anti-uterine spasms during vinegar processing and the mechanism in treating dysmenorrhea are not clear. OBJECTIVE: To elucidate the changes of anti-uterine spasm and its substance basis, and the mechanism of treating dysmenorrhea before and after vinegar processing. METHODS: The uterine spasm contraction model was established, and the uterine activity and its inhibition rate were calculated to evaluate the differences. The main chemical constituents of CW were quickly analyzed by UPLC-Q-TOF-MS/MS technology, and the differences between them were explored by multivariate statistical analysis. Then, the regulatory network of "active ingredients-core targets-signal pathways" related to dysmenorrhea was constructed by using network pharmacology, and the combination between differential active components and targets was verified by molecular docking. RESULTS: CW extract relaxed the isolated uterine by reducing the contractile tension, amplitude, and frequency. Compared with CW, the inhibitory effect of vinegar products was stronger, and the inhibition rate was 70.08 %. 39 compounds were identified from CW and 13 differential components were screened out (p<0.05). Network pharmacology screened 11 active components and 32 potential targets, involving 10 key pathways related to dysmenorrhea. The results of molecular docking showed that these differentially active components had good binding activity to target. CONCLUSION: It was preliminarily revealed that CW could treat dysmenorrhea mainly through the regulation of inflammatory reaction, relaxing smooth muscle and endocrine by curcumenone, 13-hydroxygermacrone, (+)-cuparene, caryophyllene oxide, zederone, and isocurcumenol.

[Rapid identification of raw and sulfur-fumigated Paeoniae Radix Alba based on Heracles NEO ultra-fast gas phase electronic nose].

Since the current identification method for Paeoniae Radix Alba is complex in operation and long time-consuming with high requirements for technicians, the present study employed Heracles NEO ultra-fast gas phase electronic nose(E-nose) technology to identify raw and sulfur-fumigated Paeoniae Radix Alba decoction pieces in order to establish a rapid identification method for sulfur-fumigated Paeoniae Radix Alba. The odors of raw Paeoniae Radix Alba and its sulfur-fumigated products were analyzed by Heracles NEO ultra-fast gas phase E-nose to obtain the odor chromatographic information. The chemometric model was established, and the data were processed by principal component analysis(PCA), discriminant function analysis(DFA), soft independent modeling of class analogy(SIMCA), and partial least squares discriminant analysis(PLS-DA). The differential compounds of raw and sulfur-fumigated samples were qualitatively analyzed based on the Kovats retention index and Arochembase. As revealed by the comparison of gas chromatograms of raw and sulfur-fumigated Paeoniae Radix Alba, the heights of several peaks in the chromatograms before and after sulfur fumigation changed significantly. The peak(No.8) produced by ethylbenzene disappeared completely due to sulfonation reaction in the process of sulfur fumigation, indicating that ethylbenzene may be the key component in the identification of Paeoniae Radix Alba and its sulfur-fumigated products. In PCA, DFA, SIMCA, and PLS-DA models, the two types of samples were separated into two different regions, indicating that the established models can clearly distinguish between raw and sulfur-fumigated Paeoniae Radix Alba. The results showed that Heracles NEO ultra-fast gas phase E-nose technology could realize the rapid identification of raw and sulfur-fumigated Paeoniae Radix Alba, which provides a new method and idea for the rapid identification of sulfur-fumigated Chinese medicine.

[Efficacy-related substances of blood-activating and stasis-resolving medicinals derived from Curcuma plants: a review].

Derived from Curcuma plants, Curcumae Longae Rhizoma, Curcumae Rhizoma, Wenyujin Rhizoma Concisum, and Curcumae Radix are common blood-activating and stasis-resolving medicinals in clinical practice, which are mainly used to treat amenorrhea, dysmenorrhea, chest impediment and heart pain, and rheumatic arthralgia caused by blood stasis block. According to modern research, the typical components in medicinals derived from Curcuma plants, like curcumin, demethoxycurcumin, bisdemethoxycurcumin, curdione, germacrone, curcumol, and ß-elemene, have the activities of hemorheology improvement, anti-platelet aggregation, anti-thrombosis, anti-inflammation, anti-tumor, and anti-fibrosis, thereby activating blood and resolving stasis. However, due to the difference in origin, medicinal part, processing, and other aspects, the efficacy and clinical application are different. The efficacy-related substances behind the difference have not yet been systematically studied. Thus, focusing on the efficacy-related substances, this study reviewed the background, efficacy and clinical application, efficacy-related substances, and "prediction-identification-verification" research method of blood-activating and stasis-resolving medicinals derived from Curcuma plants, which is expected to lay a theoretical basis for the future research on the "similarities and differences" of such medicinals based on integrated evidence chain and to guide the scientific and rational application of them in clinical practice.

[Prediction of material basis and mechanism of Curcumae Rhizoma in treatment of coronary heart disease].

Coronary heart disease(CHD) is a common cardiovascular disease in clinical practice. Curcumae Rhizoma(CR), an important herbal medicine for breaking blood stasis and resolving mass, is often used for the treatment of CHD caused by blood stasis syndrome. However, the anti-CHD components, targets, and mechanism are still unclear. Therefore, in this study, the chemical components of CR were separated and identified by ultra high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS/MS). Based on the identified components, network pharmacology analysis, including target prediction and functional enrichment, was applied to screen out the main active components against CHD, and the potential mechanism was discussed. Finally, molecular docking was performed to verify the binding between the active components and the targets. The results showed that among the 52 chemical components identified in CR, 28 were related to CHD, involving 75 core targets. The core components included(4S)-4-hydroxy-gweicurculactone, curcumadione, and curcumenone, and the core targets included phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha(PIK3 CA), mitogen-activated protein kinase 1(MAPK1), and mitogen-activated protein kinase 3(MAPK3). In summary, through the active components, such as(4S)-4-hydroxy-gweicurculactone, curcumadione, and curcumenone, CR regulates the nerve repair, vasoconstriction, lipid metabolism, and inflammatory response, thereby exerts therapeutic effect on CHD.

[Effective substance and mechanism of Ziziphi Spinosae Semen extract in treatment of insomnia based on serum metabolomics and network pharmacology].

This study aims to study the effective substance and mechanism of Ziziphi Spinosae Semen extract in the treatment of insomnia based on serum metabolomics and network pharmacology. The rat insomnia model induced by p-chlorophenylalanine(PCPA) was established. After oral administration of Ziziphi Spinosae Semen extract, the general morphological observation, pentobarbital sodium-induced sleep test, and histopathological evaluation were carried out. The potential biomarkers of the extract in the treatment of insomnia were screened by ultra-high performance liquid chromatography-mass spectrometry(UHPLC-MS) combined with multivariate analysis, and the related metabolic pathways were further analyzed. The "component-target-pathway" network was constructed by ultra-high performance liquid chromatography coupled with quadrupole-Exactive mass spectrometry(UHPLC-Q-Exactive-MS/MS) combined with network pharmacology to explore the effective substances and mechanism of Ziziphi Spinosae Semen in the treatment of insomnia. The results of pentobarbital sodium-induced sleep test and histopathological evaluation(hematoxylin and eosin staining) showed that Ziziphi Spinosae Semen extract had good theraputic effect on insomnia. A total of 21 endogenous biomarkers of Ziziphi Spinosae Semen extract in the treatment of insomnia were screened out by serum metabolomics, and the metabolic pathways of phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism, and nicotinate and nicotinamide metabolism were obtained. A total of 34 chemical constituents were identified by UHPLC-Q-Exactive-MS/MS, including 24 flavonoids, 2 triterpenoid saponins, 4 alkaloids, 2 triterpenoid acids, and 2 fatty acids. The network pharmacological analysis showed that Ziziphi Spinosae Semen mainly acted on target proteins such as dopamine D2 receptor(DRD2), 5-hydroxytryptamine receptor 1 A(HTR1 A), and alpha-2 A adrenergic receptor(ADRA2 A) in the treatment of insomnia. It was closely related to neuroactive ligand-receptor interaction, serotonergic synapse, and calcium signaling pathway. Magnoflorine, N-nornuciferine, caaverine, oleic acid, palmitic acid, coclaurine, betulinic acid, and ceanothic acid in Ziziphi Spinosae Semen may be potential effective compounds in the treatment of insomnia. This study revealed that Ziziphi Spinosae Semen extract treated insomnia through multiple metabolic pathways and the overall correction of metabolic disorder profile in a multi-component, multi-target, and multi-channel manner. Briefly, this study lays a foundation for further research on the mechanism of Ziziphi Spinosae Semen in treating insomnia and provides support for the development of innovative Chinese drugs for the treatment of insomnia.

Profiling and analysis of multiple constituents in Crataegi Fructus before and after processing by ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry.

RATIONALE: Crataegi Fructus (CF) is one of the most commonly used herbal medicines with a long history of clinical applications. CF is often processed to minimize gastric membrane irritation, although differently processed products can have different biological effects. The purpose of this study was to comprehensively identify the chemical composition of CF, determine the changes caused by processing, and elucidate the active constituents causing the clinical effects. This study aimed to define a theoretical basis for intensive mechanistic studies of CF processing and its reasonable clinical applications. METHODS: An optimized ultrahigh-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC/QqTOFMS) method in positive and negative ion modes, coupled with multivariate statistical analyses, was developed for the identification and analysis of chemical components in raw and processed products of CF. RESULTS: A total of 87 compounds were identified, including 61 marker compounds that were found to be primary contributors to the significant differences (p < 0.01) between raw and processed products using principal component analysis, t-test, and Venn analysis. The conversion mechanism for a subset of the changed compounds was inferred by analyzing 25 unique differential components between the raw and processed CF. CONCLUSIONS: A rapid and efficient analytical method for identifying the chemical components in CF before and after processing was successfully established. We show how the changes in the chemical constituents in processed CF could be investigated using multivariate statistical analysis methods, and thus facilitate understanding of the processing mechanism of CF.

Analysis of the chemical composition changes of Gardeniae Fructus before and after processing based on ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry.

Gardeniae Fructus, the dry fruit of Gardenia jasminoides Ellis, has been widely used for the treatment of different diseases. Although four types of processed Gardeniae Fructus products, characterized by differing effects, are available for clinical use, little is known regarding the respective processing mechanisms. In this study, ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry combined with multivariate statistical analysis was applied to characterize the chemical profiles of the differently processed Gardeniae Fructus products and to determine differences in their chemical compositions, thereby enabling us to identify those active compounds associated with the observed clinical effects. A total of 125 compounds were accordingly identified, among which, 56 were established as primary contributors to the significant differences (P < 0.01) between crude and processed Gardeniae Fructus, based on t-test analysis. Furthermore, the potential mechanisms underlying the chemical transformations that occurred during processing were discussed. The findings of this study may not only contribute to the more effective quality control of Gardeniae Fructus but also provide basic information for elucidating the mechanisms underlying the changes in chemical constituents in response to processing, and provide a basis for further investigations of Gardeniae Fructus processing mechanisms.

[Study on quality identification of Curcumae Rhizoma from different origins based on quantitative analysis of appearance color and content of main components].

L~*, a~* and b~* values of prepared slices of Curcumae Rhizoma were measured by spectrophotometer. SPSS 21.0 was used for discriminant analysis to establish the color range and mathematical prediction model of prepared slices of Curcumae Rhizoma. The values of L~*, a~* and b~* of kwangsiensis ranged from 58.09-62.40, 4.53-5.66 and 23.61-24.29, while the values of L~*, a~* and b~* of phaeocaulis were between 64.02-70.71,-0.89-4.13 and 44.59-54.52, respectively. The values of L~*, a~* and b~* of wenyujin were 68.55-70.99,-0.11-1.47 and 28.26-32.19, respectively. The mathematical prediction model was proved to be able to realize 100% identification of Curcumae Rhizome of different origins through original and cross validation and external samples validation. A dual wavelength HPLC was established; the contents of 9 sesquiterpenoids and 3 Curcumae Rhizomes were determined simultaneously; and the contents of Curcumae Rhizome of different origins were determined. The results showed that kwangsiensis had higher contents of neocurdione, ß-elemene and isocurcumaenol, phaeocaulis curcumin, furadienone, demethoxycurcumin and curcumin; and wenyujin mainly contained curdione, furadienes and guimarone. Pearson correlation analysis on L~*, a~*, b~* value and content of 12 components showed that curcumin, furadienone, demethoxycurcumin and curcumin had a significant positive correlation with b~* value(P<0.01). There was a significant negative correlation between neocurdione, ß-elemene and isocurcumaenol and L~* value(P<0.01). Curdione, furadienes and guimarone were significantly correlated with L~* value(P<0.01),indicating that the appearance co-lor of Curcumae Rhizoma could reflect the change of the content of the internal components. This study provided reference for the rapid recognition of Curcumae Rhizoma and the establishment of quality evaluation system.

Quality evaluation of raw and processed Crataegi Fructus by color measurement and fingerprint analysis.

Crataegi Fructus and its processed products have been used as a traditional medicine for a long time, and numerous active components are responsible for their curative effects. However, a comprehensive and fast method for the quality control of its processed products is still lacking. In this study, two analytical methods based on color measurements and fingerprint analysis are established. In the color measurements, the color values of the peel and flesh of Crataegi Fructus were evaluated spectrophotometrically. Based on the results, a color reference range was established using percentiles, and the standard color difference value was established using the median color values. Then, the color values of Crataegi Fructus and its processed products were analyzed using Bayes linear discriminant analysis and mathematical functions were built in order to predict the degree of processing. Moreover, high-performance liquid chromatography fingerprint analysis was performed on a Hibar C18 column, and a high-performance liquid chromatography fingerprint pattern was obtained, from which nine peaks were identified. Chemometric methods were successfully applied to differentiate raw and processed Crataegi Fructus.

Effect of chemical components on color variation during processing of Crataegi Fructus.

The color and chemical composition of Crataegi Fructus (CF) vary greatly during processing, but few studies have explored the relationship between them. To address this issue, the effect of chemical composition on the color change of CF during processing was evaluated by mass spectrometry and color detection. A total of 107 compounds, including organic acids, flavonoids, furans, terpenoids, lignans and alkaloids, were identified from 26 representative samples by UHPLC-Q-TOF-MS, among them, the first three compounds changed most significantly during CF processing. Based on Spearman's rho correlation and multiple linear regression analysis, 85 variables from 107 compounds were identified to be associated with color value (P < 0.01). There are 12 compounds that are considered to be the key substances that cause color changes. This study not only realized the objectification of color evaluation, but also verified the relationship between color and chemical composition in food processing. Supplementary Information: The online version contains supplementary material available at 10.1007/s10068-024-01576-2.

Optimizing BP neural network algorithm for Pericarpium Citri Reticulatae (Chenpi) origin traceability based on computer vision and ultra-fast gas-phase electronic nose data fusion.

This study utilized computer vision to extract color and texture features of Pericarpium Citri Reticulatae (PCR). The ultra-fast gas-phase electronic nose (UF-GC-E-nose) technique successfully identified 98 volatile components, including olefins, alcohols, and esters, which significantly contribute to the flavor profile of PCR. Multivariate statistical Analysis was applied to the appearance traits of PCR, identifying 57 potential marker-trait factors (VIP > 1 and P < 0.05) from the 118 trait factors that can distinguish PCR from different origins. These factors include color, texture, and odor traits. By integrating multivariate statistical Analysis with the BP neural network algorithm, a novel artificial intelligence algorithm was developed and optimized for traceability of PCR origin. This algorithm achieved a 100% discrimination rate in differentiating PCR samples from various origins. This study offers a valuable reference and data support for developing intelligent algorithms that utilize data fusion from multiple intelligent sensory technologies to achieve rapid traceability of food origins.

Polygonati Rhizoma varieties and origins traceability based on multivariate data fusion combined with an artificial intelligence classification algorithm.

This study collected multidimensional feature data such as spectra, texture, and component contents of Polygonati Rhizoma from different origins and varieties (Polygonatum kingianum Coll. et Hemsl from Yunnan and Guizhou; Polygonatum cyrtonema Hua from Anhui and Jiangxi; Polygonatum sibiricum Red from Hunan). Multivariate statistical analysis was used to select 39 characteristic factors for distinguishing PR origins and 14 characteristic factors for discriminating PR varieties (VIP > 1 and P < 0.05). In addition, by combining multivariate statistical analysis with a deep belief network (DBN) classification algorithm, a novel artificial intelligence algorithm was developed and optimized. Compared to traditional discriminant analysis methods, the accuracy of this new approach was significantly improved, achieving a 100% discrimination rate for PR varieties and a 100% accuracy rate for tracing the origin of PR. This research provides a reference and data support for constructing intelligent algorithms based on multidimensional data fusion, to achieve food variety discrimination and origin tracing.

Mechanism of Jinzhen Oral Liquid against influenza-induced lung injury based on metabonomics and gut microbiome.

ETHNOPHARMACOLOGICAL RELEVANCE: Jinzhen Oral Liquid (JZOL) is a traditional Chinese patent medicine and widely used clinically, which consists of eight herbs including Bovis Calculus Atifactus, Fritillariae Ussuriensis Bulbus (Fritillaria ussuriensis Maxim.), Caprae Hircus Cornu, Rhei Radix et Rhizoma (Rheum palmatum L.), Scutellariae Radix (Scutellaria baicalensis Georgi), Glycyrrhizae Radix et Rhizoma (Glycyrrhiza uralensis Fisch. ex DC.), Chloriti Lapis, and Gypsum Fibrosum (Their ratio is 9.45 : 47.25: 94.5 : 31.5: 15.75 : 31.5: 15.75 : 23.62). A large number of clinical studies have proved that JZOL has a good antiviral effect and can treat lung injury, pneumonia, and bronchitis caused by a variety of viral infections. AIM OF THE STUDY: Influenza infection frequently exhibit dysregulation of gut microbiota and host metabolomes, but the mechanism of JZOL is still unclear and needs to be further explored. Here, after influenza virus infection induced lung injury, the regulation roles of JZOL in metabolic and gut microbiota balances are investigated to comprehensively elucidate its therapeutic mechanism. MATERIALS AND METHODS: A mouse model of lung injury was replicated via intranasal instillation of influenza A (H1N1). The efficacy of JZOL was evaluated by pathological sections, lung index, the levels of TNF-α and IFN-γ, and viral load in lung tissue. Its modulation of endogenous metabolites and gut microbiota was assessed using plasma metabolomic technique and 16S rRNA high-throughput sequencing technique. RESULTS: JZOL not only significantly relieved lung inflammation and edema in influenza mice, but also alleviated the disturbance of endogenous metabolites and the imbalance of gut microbiota mainly by regulating glycerophospholipid and fatty acid metabolism and Lactobacillus. The anti-influenza effects of JZOL were gut microbiota dependent, as demonstrated by antibiotic treatment. The altered metabolites were significantly correlated with Lactobacillus and pharmacodynamic indicators, further confirming the reliability of these results. CONCLUSIONS: JZOL attenuates H1N1 influenza infection induced lung injury by regulating lipid metabolism via the modulation of Lactobacillus. The results support the clinical application of JZOL, and are useful to further understand the mechanism of TCM in the treatment of influenza.

The therapeutic mechanism of Curcumae Radix against primary dysmenorrea based on 5-HTR/Ca2+/MAPK and fatty acids metabolomics.

Background: Curcumae Radix (CW) is traditionally used to treat primary dysmenorrea (PD). However, the mechanisms of action of CW in the treatment of PD have not yet been comprehensively resolved. Objective: To investigate the therapeutic effects of CW on PD and its possible mechanisms of action. Methods: An isolated uterine spastic contraction model induced by oxytocin was constructed in an in vitro pharmacodynamic assay. An animal model of PD induced by combined estradiol benzoate and adrenaline hydrochloride-assisted stimulation was established. After oral administration of CW, a histopathological examination was performed and biochemical factor levels were measured to evaluate the therapeutic effect of CW on PD. The chemical compositions of the drug-containing serum and its metabolites were analyzed by ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry. Network pharmacology and serum untargeted metabolomics were used to predict the mechanism of CW treatment for PD, and the predicted results were validated by RT-qPCR, WB, and targeted fatty acid (FA) metabolism. Results: In vitro, CW can relax an isolated uterus by reducing uterine motility. In vivo, the results showed that CW attenuated histopathological damage in the uterus and regulated PGF2α, PGE2, ß-EP, 5-HT, and Ca2+ levels in PD rats. A total of 66 compounds and their metabolites were identified in the drug-containing serum, and the metabolic pathways of these components mainly included hydrogenation and oxidation. Mechanistic studies showed that CW downregulated the expression of key genes in the 5-HTR/Ca2+/MAPK pathway, such as 5-HTR2A, IP3R, PKC, cALM, and ERK. Similarly, CW downregulated the expression of key proteins in the 5-HTR/Ca2+/MAPK pathway, such as p-ERK/ERK. Indirectly, it ameliorates the abnormal FA metabolism downstream of this signaling pathway in PD rats, especially the metabolism of arachidonic acid (AA). Conclusion: The development of PD may be associated with the inhibition of the 5-HTR/Ca2+/MAPK signaling pathway and FA metabolic pathways, providing a basis for the subsequent exploitation of CW.

Na, K-ATPase α1 cooperates with its endogenous ligand to reprogram immune microenvironment of lung carcinoma and promotes immune escape.

Dysregulated endocrine hormones (EHs) contribute to tumorigenesis, but how EHs affect the tumor immune microenvironment (TIM) and the immunotherapy of non-small cell lung cancer (NSCLC) is still unclear. Here, endogenous ouabain (EO), an adrenergic hormone, is elevated in patients with NSCLC and closely related to tumor pathological stage, metastasis, and survival. EO promotes the suppression of TIM in vivo by modulating the expression of immune checkpoint proteins, in which programmed cell death protein ligand 1 (PD-L1) plays a major role. EO increases PD-L1 transcription; however, the EO receptor Na- and K-dependent adenosine triphosphatase (Na, K-ATPase) α1 interacts with PD-L1 to trigger the endocytic degradation of PD-L1. This seemingly contradictory result led us to discover the mechanism whereby EO cooperates with Na, K-ATPase α1 to finely control PD-L1 expression and dampen tumoral immunity. In conclusion, the Na, K-ATPase α1/EO signaling facilitates immune escape in lung cancer, and manipulation of this signaling shows great promise in improving immunotherapy for lung adenocarcinoma.

Variations in volatile flavour compounds in Crataegi fructus roasting revealed by E-nose and HS-GC-MS.

Introduction: Crataegi fructus (CF) is an edible and medicinal functional food used worldwide that enhances digestion if consumed in the roasted form. The odour of CF, as a measure of processing degree during roasting, significantly changes. However, the changes remain unclear, but are worth exploring. Methods: Herein, the variations in volatile flavour compounds due to CF roasting were investigated using an electronic nose (E-nose) and headspace gas chromatography-mass spectrometry (HS-GC-MS). Results: A total of 54 components were identified by GC-MS. Aldehydes, ketones, esters, and furans showed the most significant changes. The Maillard reaction, Strecker degradation, and fatty acid oxidation and degradation are the main reactions that occur during roasting. The results of grey relational analysis (GRA) showed that 25 volatile compounds were closely related to odour (r > 0.9). Finally, 9 volatile components [relative odour activity value, (ROAV) ≥ 1] were confirmed as key substances causing odour changes. Discussion: This study not only achieves the objectification of odour evaluation during food processing, but also verifies the applicability and similarity of the E-nose and HS-GC-MS.

Therapeutic mechanism of Curcuma aromatica Salisb. rhizome against coronary heart disease based on integrated network pharmacology, pharmacological evaluation and lipidomics.

Curcuma aromatica Salisb. rhizome (CASR) has multifunctional characteristics worldwide and a long history of use as a botanical drug with. Currently, it is often used clinically to treat coronary heart disease (CHD) caused by blood stasis syndrome. However, the therapeutic mechanism of CASR in the treatment of CHD remains poorly understood. In study, the main chemical constituents of CASR were analyzed using UPLC-Q-TOF-MS/MS. Then, its potential therapeutic mechanism against CHD was predicted. Subsequently, pharmacological evaluation was performed using CHD rat model. Finally, a lipidomics approach was applied to explore the different lipid metabolites to verify the regulation of CASR on lipid metabolism disorders in CHD. A total of 35 compounds was identified from CASR. Seventeen active components and 51 potential targets related to CHD were screened by network pharmacology, involving 13 key pathways. In vivo experiments showed that CASR could significantly improve myocardial infarction, blood stasis, and blood lipid levels and regulate the PI3K/AKT/mTOR signaling pathway in CHD rats. Lipidomics further showed that CASR could regulate abnormal sphingolipid, glycerophospholipid, and glycerolipid metabolism in CHD rats. The therapeutic mechanism of CASR against CHD was initially elucidated and included the regulation of lipid metabolism. Its effects may be attributed to active ingredients, such as curzerene, isoprocurcumenol, and (+)-curcumenol. This study reveals the characteristics of multi-component and multi-pathway of CASR in the treatment of CHD, which provides a basis for the follow-up development and utilization of CASR.

Revealing the mechanism of raw and vinegar-processed Curcuma aromatica Salisb. [Zingiberaceae] regulates primary dysmenorrhea in rats via integrated metabolomics.

Primary dysmenorrhea (PDM) is a common disorder among women around the world. Two processed products of Curcuma aromatica Salisb. [Zingiberaceae] (CAS) are traditional Chinese medicine (TCM) that have long been used to treat gynecological blood stasis syndrome such as primary dysmenorrhea. The mechanisms and active substances of CAS are still largely unknown. The study aimed to establish a rat model of primary dysmenorrhea which investigates the differences between the pharmacodynamics and mechanisms of raw CAS (RCAS) and vinegar-processed CAS (VCAS). Histopathology, cytokinetics, and metabolomics were adopted to evaluate the anti-blood stasis effect of RCAS and VCAS. In metabolomics, endogenous differential metabolites in plasma, urine, and feces are the essential steps to evaluate the effect of RCAS and VCAS. In this study, the rat model of primary dysmenorrhea was successfully established. After RCAS and VCAS intervention, the uterine tissue morphology of dysmenorrhea model rats was improved, and gland hypertrophy and myometrial hyperplasia were reduced as well as neutrophil content. Compared with the RCAS group, the VCAS group had better uterine morphology, few inflammatory factors, and significantly improved amino acid and lipid metabolism. The aforementioned results support the conclusion that VCAS performed better than RCAS in primary dysmenorrhea and that vinegar processing increases the efficacy of CAS.