Integrated Serum Pharmacochemistry, Metabolomics, and Network Pharmacology to Reveal the Material Basis and Mechanism of Danggui Shaoyao San in the Treatment of Primary Dysmenorrhea

Exploring the therapeutic potential of tonic Chinese herbal medicine for gynecological disorders: An updated review

ETHNOPHARMACOLOGICAL RELEVANCE

Gynecological disorders have the characteristics of high incidence and recurrence rate, which sorely affects female's health. Since ancient times, traditional Chinese medicine (TCM), especially tonic medicine (TM), has been used to deal with gynecological disorders and has unique advantages in effectiveness and safety.

AIM OF THE REVIEW

In this article, we aim to summarize the research progress of TMs in-vivo and in-vitro, including their formulas, single herbs, and compounds, for gynecological disorders treatment in recent years, and to offer a reference for further research on the treatment of gynecological disorders and their clinical application in the treatment of TMs.

MATERIALS AND METHODS

Relevant information on the therapeutic potential of TMs against gynecological disorders was collected from several scientific databases including Web of Science, PubMed, CNKI, Google Scholar and other literature sources.

RESULTS

So far, there are 46 different formulas, 3 single herbs, and 24 compounds used in the treatment of various gynecological disorders such as premature ovarian failure, endometriosis breast cancer, and so on. Many experimental results have shown that TMs can regulate apoptosis, invasion, migration, oxidative stress, and the immune system. In addition, the effect of TMs in gynecological disorders treatment may be due to the regulation of VEGF, PI3K-AKT, MAPK, NF-κB, and other signaling pathways. Apparently, TMs play an active role in the treatment of gynecological disorders by regulating these signaling pathways.

CONCLUSION

TMs have a curative effect on the prevention and treatment of gynecological disorders. It could relieve and treat gynecological disorders through a variety of pathways. Therefore, the appropriate TM treatment program makes it more possible to treat gynecological disorders.

Identification of Xuanfei Baidu granule constituents by liquid chromatography-quadruple-time-of-flight-mass spectrometry and its anti-inflammatory active constituents using a lipopolysaccharide-induced RAW264.7 cell model

The Xuanfei Baidu (XFBD) prescription, a traditional Chinese medicine prescription, has demonstrated significant anti-inflammatory activities; however, the number of its reported constituents is limited, and its anti-inflammatory constituents are unclear. In this study, the constituents of XFBD granule, a granule dosage of XFBD prescription, were thoroughly examined in vitro and in vivo using liquid chromatography-quadruple-time-of-flight-mass spectrometry, and the anti-inflammatory constituents were screened. A total of 214 constituents were identified from the XFBD granule, 62 of which were confirmed via comparison with reference standards. After intragastric administration of XFBD granule, 63 and 28 constituents were absorbed into the rat sera and lungs in prototype form, respectively. XFBD granule and XFBD-containing serum were found to significantly reduce nitric oxide (NO) and interleukin-6 (IL-6) secretion in lipopolysaccharide-induced RAW264.7 cells. Five anti-inflammatory constituents (verbasoside, scutellarin, luteolin, apigenin, and pogostone) were found to reduce the concentration of NO and IL-6 in a dose-dependent manner. Moreover, the combination of these five constituents could significantly reduce NO secretion even when the concentration of each constituent was two to three orders of magnitude lower than their individual minimum effective concentrations. Overall, this study provides a valuable reference for the discovery of effective constituents from the XFBD granule.

Exploring Potential Targets and Pathways of Toxicity Attenuation Through Serum Pharmacochemistry and Network Pharmacology in the Processing of Aconiti Lateralis Radix Praeparata

Aconiti Lateralis Radix Praeparata (Fuzi, FZ) is a frequently utilized traditional Chinese medicine (TCM) in clinical settings. However, its toxic and side effects, particularly cardiac injury, are apparent, necessitating processing before use. To investigate the mechanism of toxicity induced by absorbed components and the mitigating effect of processed FZ, we established a comprehensive method combining serum pharmacochemistry and a network pharmacology approach. In total, 31 chemical components were identified in the plasma, with a general decrease in response intensity observed for these components in processed FZ. Subsequently, four components were selected for network pharmacology analysis. This analysis revealed 150 drug action targets and identified 1162 cardiac toxicity targets. Through intersection analysis, 41 key targets related to cardiac toxicity were identified, along with 9 significant Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The most critical targets identified were AKT1, MTOR, and PARP1. The key biological pathways implicated were adrenergic signaling in cardiomyocytes, proteoglycans in cancer, and the calcium signaling pathway. Significant differences were observed in histological staining and biochemical indicators in the cardiac tissue of rats treated with FZ, indicating that processing could indeed reduce its cardiotoxicity. Indeed, this article presents a valuable strategy for elucidating the toxification mechanism of toxic TCM.

Metabolomics and lipidomics combined with serum pharmacochemistry uncover the potential mechanism of Huang-Lian-Jie-Du decoction alleviates atherosclerosis in ApoE-/- mice

ETHNOPHARMACOLOGICAL RELEVANCE

Atherosclerosis (AS) is one of the main cardiovascular diseases (CVDs) leading to an increase in global mortality, and its key pathological features are lipid accumulation and oxidative stress. Huang-Lian-Jie-Du decoction (HLJDD), a representative formula for clearing heat and detoxifying, has been shown to reduce aortic lipid plaque and improve AS. However, multiple components and multiple targets of HLJDD pose a challenge in comprehending its comprehensive mechanism in the treatment of AS.

AIM OF THE STUDY

This study was designed to illustrate the anti-AS mechanisms of HLJDD in an apolipoprotein E-deficient (ApoE-/-) mouse model from a metabolic perspective.

MATERIALS AND METHODS

ApoE-/- mice were kept on a high-fat diet (HFD) to induce AS. Serum total cholesterol (TC), total triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) levels were determined to evaluate the influence of HLJDD on dyslipidemia. Oil red O was used to stain mouse aortic lipid plaques, and hematoxylin and eosin (HE) staining was used to assess the pathological changes in the aortic roots. Metabolomics and lipidomics combined with serum pharmacochemistry were performed to research the HLJDD mechanism of alleviating AS.

RESULTS

In this study, HLJDD treatment improved serum biochemical levels and histopathological conditions in AS mice. A total of 6 metabolic pathways (arginine biosynthesis, glycerophospholipid, sphingolipid, arachidonic acid, linoleic acid, and glycerolipid metabolism) related to 25 metabolic biomarkers and 41 lipid biomarkers were clarified, and 22 prototype components migrating to blood were identified after oral administration of HLJDD.

CONCLUSION

HLJDD improved AS induced by HFD in ApoE-/- mice. The effects of HLJDD were mainly attributed to regulating lipid metabolism by regulating the metabolic pathways of glycerophospholipids, sphingolipids, arachidonic acid, linoleic acid, and glycerolipids and reducing the levels of oxidative stress by upregulating arginine biosynthesis.

Bile acids metabolism involved in the beneficial effects of Danggui Shaoyao San via gut microbiota in the treatment of CCl4 induced hepatic fibrosis

ETHNOPHARMACOLOGICAL RELEVANCE

Danggui Shaoyao San (DSS) is a traditional Chinese medicine (TCM) first recorded in the Synopsis of the Golden Chamber. DSS has proven efficacy in treating hepatic fibrosis (HF). However, the effects and mechanisms of DSS on HF are not clear.

AIM OF THE STUDY

To investigate the effect of DSS on HF via gut microbiota and its metabolites (SCFAs, BAs).

MATERIALS AND METHODS

HF rats were induced with CCl4 and treated with DSS. Firstly, the therapeutic efficacy of DSS in HF rats and the protection of gut barrier were assessed. Then, 16S rRNA gene sequencing and untargeted fecal metabolomics preliminarily explored the mechanism of DSS in treating HF, and identified different microbiota and metabolic pathways. Finally, targeted metabolomics and RT-qPCR were used to further validate the mechanism of DSS for HF based on the metabolism of SCFAs and BAs.

RESULTS

After 8 weeks of administration, DSS significantly reduced the degree of HF. In addition, DSS alleviated inflammation in the ileum and reduced the levels of LPS and D-lactate. Furthermore, DSS altered the structure of gut microbiota, especially Veillonella, Romboutsia, Monoglobus, Parabacteroides, norank_f_Coriobacteriales_Incertae_Sedis. These bacteria have been linked to the production of SCFAs and the metabolism of BAs. Untargeted metabolomics suggested that DSS may play a role via BAs metabolism. Subsequently, targeted metabolomics and RT-qPCR further confirmed the key role of DSS in increasing SCFAs levels and regulating BAs metabolism.

CONCLUSIONS

DSS can alleviate CCl4-induced HF and protect the gut barrier. DSS may exert its beneficial effects on HF by affecting the gut microbiota and its metabolites (SCFAs, BAs).

Danggui Shaoyao San: Chemical characterization and inhibition of oxidative stress and inflammation to treat CCl4-induced hepatic fibrosis

ETHNOPHARMACOLOGICAL RELEVANCE

Danggui Shaoyao San (DSS) has effective in treating hepatic ascites and liver disease.

AIM OF THE STUDY

To explore the chemical characterization of DSS and protective effect on CCl4-induced hepatic fibrosis and its mechanism, especially its anti-oxidative stress and anti-inflammation.

MATERIALS AND METHODS

The chemical characterization of DSS was determined by HPLC-Q-Exactive Orbitrap MS. And the antioxidant activity of DSS in vitro was determined. The hepatic fibrosis model was established using intragastric administration of 40% CCl4/soybean oil (v/v) twice weekly for 13 weeks. From 6th week, the DSS group and the positive control group were given DSS (2, 4, 8 g/kg/d) and silymarin (50 mg/kg/d), respectively. The livers of rats were examined histologically by H&E. The ALT, AST, ALB and TBIL were determined, and hepatic fibrosis markers (HA, LN, CIV, PIIINP), oxidative stress (SOD, MDA, GST, GSH) and inflammatory factor (IL-6, TNF-α) were tested using ELISA kits. In addition, the levels of TAC, TOS, LOOH and AOPP in the liver were also determined.

RESULTS

The chemical characterization of DSS was determined by HPLC-Q-Exactive Orbitrap MS. The results show that DSS mainly includes triterpenoids, monoterpenes, phenols, sesquiterpenes, butyl phthalide, etc., and DSS has good antioxidant activity in vitro. In addition, the ALT, AST and TBIL of rats were remarkably reduced after treatment with DSS at three doses. Liver histopathological analysis showed that DSS alleviated the inflammatory infiltration, hepatocyte swelling, necrosis and hepatic fibrosis induced by CCl4. DSS significantly decreased HA, IV-C, PIIINP and LN. Further determination showed that DSS significantly increased TAC, OSI and decreased TOC, LOOH and MDA, indicating that DSS could regulate redox balance and reduce lipid peroxidation in vivo. DSS also increased the activity of GST, SOD and GSH concentration. In addition, DSS also reduced IL-6 and TNF-α.

CONCLUSIONS

In this study, we described the chemical characterization of DSS and found that it has good antioxidant activity. We proved that DSS has the functions of reducing oxidative stress, anti-inflammatory, protecting liver cells and reducing hepatic fibrosis.

Integrated network pharmacology and metabolomics reveal the mechanisms of Jasminum elongatum in anti-ulcerative colitis

Jasminum elongatum (JE), an ethnic Chinese medicine, is widely used in the Lingnan region of China, because of its analgesic and antidiarrheal action, as well as its anti-inflammatory effects in gastrointestinal diseases. However, whether JE could against ulcerative colitis (UC) remains unclear. This research aims to reveal JE in treating UC and clarify the underlying mechanism. We used the 2.5% dextran sulfate sodium (DSS)-induced UC mice (C57BL/6J) to evaluate the therapeutic effects of JE. Metabolomics of serum and network pharmacology were combined to draw target-metabolite pathways. Apart from that, the targets of associated pathways were confirmed, and the mechanism of action was made clear, using immunohistochemistry. The pharmacodynamic results, including disease activity index (DAI), histological evaluation, and inflammatory cytokines in colon tissues, demonstrated that JE significantly relieved the physiological and pathological symptoms of UC. Network pharmacology analysis indicated 25 core targets, such as TNF, IL-6, PTGS2 and RELA, and four key pathways, including the NF-κB signaling pathway and arachidonic acid metabolism pathway, which were the key connections between JE and UC. Metabolomics analysis identified 45 endogenous differential metabolites and 9 metabolic pathways by enrichment, with the arachidonic acid metabolism pathway being the main metabolism pathway, consistent with the prediction of network pharmacology. IκB, p65 and COX-2 were identified as key targets and this study demonstrated for the first time that JE reverses 2.5% DSS-induced UC in mice via the IκB/p65/COX-2/arachidonic acid pathway. This study reveals the complex mechanisms underlying the therapeutic effects of JE on UC and provides a new approach to identifying the underlying mechanisms of the pharmacological action of Chinese natural medicines such as JE.

Study of the curative effect of Zhang's Xibi formula and its underlying mechanism involving inhibition of inflammatory responses and delay of knee osteoarthritis

OBJECTIVE

To verify the clinical efficacy of Zhang's Xibi formula (ZSXBF) and explain the mechanism underlying its therapeutic effect.

METHODS

Preliminary elucidation of the clinical efficacy of ZSXBF in treating KOA in self-control studies, exploration of its mechanism of action with network pharmacology methods, and validation in animal experiments.

RESULTS

In clinical studies, ZSXBF administration effectively improved patient quality of life and reduce pain. Network pharmacology was used to explore the possible mechanisms underlying its treatment effect, and after verification in clinical experience and animal experiments, it was found that ZSXBF regulated the expression of immune-related proteins such as IL-17, ERK1, and TP53 in mouse knee joints.

CONCLUSION

ZSXBF, which is a traditional Chinese medicine compound that is used to clear heat and detoxify, can effectively improve the clinical symptoms of KOA patients, and its underlying mechanism includes the regulation of human immune-related proteins.

Quality control for a traditional Chinese medicine, Millettia speciosa Champ, using ultra-high-performance liquid chromatography fingerprint, serum pharmacochemistry and network pharmacology

Millettia speciosa (M. speciosa) Champ (MSC) is a healthy food type with medicinal and edible homology, which is now considered a clinically significant anti-rheumatoid arthritis medicine. However, there is currently no standardized or generally accepted research strategy by which we can assess M. speciosa. Thus, it is essential to develop novel theories, strategies and evaluation methods for the scientific quality control of M. speciosa. Herein, our use ultra-high-performance liquid chromatography (UPLC)-MS/MS analysis identified 12 common bioactive components absorbed into MSC serum. Next, network pharmacology analysis exhibited that 5 MSC components may be those active components in treating rheumatoid arthritis and may be considered potential quality markers. These 5 components were then quantified using a fast UPLC approach, based on the quality marker of measurability, showing that lenticin can be regarded as the MSC quality marker. The cumulative study findings, based on systematic assessment of chemical composition both in vivo and in vitro, and the potential efficacy of M. speciosa, provide a novel approach for M. speciosa quality control.

Metabolomic profiling combined with network analysis of serum pharmacochemistry to reveal the therapeutic mechanism of Ardisiae Japonicae Herba against acute lung injury

Introduction: Acute lung injury (ALI) is a common and devastating respiratory disease associated with uncontrolled inflammatory response and transepithelial neutrophil migration. In recent years, a growing number of studies have found that Ardisiae Japonicae Herba (AJH) has a favorable anti-inflammatory effect. However, its serum material basis and molecular mechanism are still unknown in ALI treatment. In this study, metabolomics and network analysis of serum pharmacochemistry were used to explore the therapeutic effect and molecular mechanism of AJH against lipopolysaccharide (LPS)-induced ALI. Methods: A total of 12 rats for serum pharmacochemistry analysis were randomly divided into the LPS group and LPS + AJH-treated group (treated with AJH extract 20 g/kg/d), which were administered LPS (2 mg/kg) by intratracheal instillation and then continuously administered for 7 days. Moreover, 36 rats for metabolomic research were divided into control, LPS, LPS + AJH-treated (5, 10, and 20 g/kg/d), and LPS + dexamethasone (Dex) (2.3 × 10-4 g/kg/d) groups. After 1 h of the seventh administration, the LPS, LPS + AJH-treated, and LPS + Dex groups were administered LPS by intratracheal instillation to induce ALI. The serum pharmacochemistry profiling was performed by UPLC-Orbitrap Fusion MS to identify serum components, which further explore the molecular mechanism of AJH against ALI by network analysis. Meanwhile, metabolomics was used to select the potential biomarkers and related metabolic pathways and to analyze the therapeutic mechanism of AJH against ALI. Results: The results showed that 71 serum components and 18 related metabolites were identified in ALI rat serum. We found that 81 overlapping targets were frequently involved in AGE-RAGE, PI3K-AKT, and JAK-STAT signaling pathways in network analysis. The LPS + AJH-treated groups exerted protective effects against ALI by reducing the infiltration of inflammatory cells and achieved anti-inflammatory efficacy by significantly regulating the interleukin (IL)-6 and IL-10 levels. Metabolomics analysis shows that the therapeutic effect of AJH on ALI involves 43 potential biomarkers and 14 metabolic pathways, especially phenylalanine, tyrosine, and tryptophan biosynthesis and linoleic acid metabolism pathways, to be influenced, which implied the potential mechanism of AJH in ALI treatment. Discussion: Our study initially elucidated the material basis and effective mechanism of AJH against ALI, which provided a solid basis for AJH application.

Uncovering mechanisms of Baojin Chenfei formula treatment for silicosis by inhibiting inflammation and fibrosis based on serum pharmacochemistry and network analysis

BACKGROUND

Baojin Chenfei formula (BCF), a Chinese herbal formula, has significant effects on improving the clinical symptoms of patients with silicosis. However, its active compounds and the underlying mechanisms have not yet fully been elucidated.

PURPOSE

This study aimed to explore the underlying mechanisms of BCF in treating silicosis.

METHODS

The rat model of silicosis was developed via a single intratracheal instillation of SiO₂ suspension to examine the therapeutic impacts of BCF on silicosis. Subsequently, the active compounds, targets, and mechanisms of BCF were analyzed based on serum pharmacochemistry and network analysis. Finally, the underlying mechanisms of representative compounds of BCF were validated in vitro experiments.

RESULTS

BCF significantly alleviated SiO₂-induced silicosis in rats, evidenced by improved lung function, decreased pathological injury, and reduced inflammatory response and fibrosis. 19 active compounds were identified from the rat serum samples after BCF gavage. Subsequently, 299 targets for these 19 compounds in BCF and 257 genes related to silicosis were collected. 26 overlapping targets, including AKT1, TNF, IL6, MAPK3, EGFR, and others, were obtained from the intersection of the 299 BCF-related targets and 257 silicosis-associated genes. These overlapping targets mainly corresponded to glycyrrhetic acid and paeoniflorin and were mainly associated with positive regulation of smooth muscle cell proliferation, positive regulation of MAP kinase activity, and inflammatory response. In vitro experiments also demonstrated that the representative compounds of BCF (glycyrrhetic acid and paeoniflorin) could suppress inflammatory response by the MAPK pathway, and also inhibited fibroblast activation by the EGFR-PI3K-AKT pathway.

CONCLUSION

Active compounds of BCF, such as glycyrrhetic acid and paeoniflorin, could suppress inflammatory response by the MAPK pathway and suppress fibroblast activation by the EGFR-PI3K-AKT pathway. These might be the mechanisms of BCF in treating silicosis.

Combining Semi-Targeted Metabolomics and Machine Learning to Identify Metabolic Alterations in the Serum and Urine of Hospitalized Patients with COVID-19

Viral infections cause metabolic dysregulation in the infected organism. The present study used metabolomics techniques and machine learning algorithms to retrospectively analyze the alterations of a broad panel of metabolites in the serum and urine of a cohort of 126 patients hospitalized with COVID-19. Results were compared with those of 50 healthy subjects and 45 COVID-19-negative patients but with bacterial infectious diseases. Metabolites were analyzed by gas chromatography coupled to quadrupole time-of-flight mass spectrometry. The main metabolites altered in the sera of COVID-19 patients were those of pentose glucuronate interconversion, ascorbate and fructose metabolism, nucleotide sugars, and nucleotide and amino acid metabolism. Alterations in serum maltose, mannonic acid, xylitol, or glyceric acid metabolites segregated positive patients from the control group with high diagnostic accuracy, while succinic acid segregated positive patients from those with other disparate infectious diseases. Increased lauric acid concentrations were associated with the severity of infection and death. Urine analyses could not discriminate between groups. Targeted metabolomics and machine learning algorithms facilitated the exploration of the metabolic alterations underlying COVID-19 infection, and to identify the potential biomarkers for the diagnosis and prognosis of the disease.