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Iodoacetic acid (IAA) is an unregulated disinfection byproduct in drinking water and has been shown to exert cytotoxicity, genotoxicity, tumorigenicity, and reproductive and developmental toxicity. However, the effects of IAA on gut microbiota and its metabolism are still unknown, especially the association between gut microbiota and the metabolism and toxicity of IAA. In this study, female and male Sprague-Dawley rats were exposed to IAA at 0 and 16 mg/kg bw/day daily for 8 weeks by oral gavage. Results of 16S rRNA gene sequencing showed that IAA could alter the diversity, relative abundance and function of gut microbiota in female and male rats. IAA also increased the abundance of genes related to steroid hormone biosynthesis in the gut microbiota of male rats. Moreover, metabolomics profiling revealed that IAA could significantly disturb 6 and 13 metabolites in the feces of female and male rats, respectively. In female rats, the level of androstanediol increased in the IAA treatment group. These results were consistent with our previous findings, where IAA was identified as an androgen disruptor. Additionally, the perturbed gut microbiota and altered metabolites were correlated with each other. The results of this study indicated that IAA could disturb gut microbiota and its metabolism. These changes in gut microbiota and its metabolism were associated with the reproductive and developmental toxicity of IAA.

B. adolescentis is a probiotic. This research aimed to investigate the mechanism of antibiotics led to decrease in the number of B. adolescentis. The metabolomics approach was employed to explore the effects of amoxicillin on metabolism of B.adolescentis, while MTT assay and scanning electron microscopy were applied to analyze changes in viability and morphology of bacteria. Molecular docking was used to illuminate the mechanism by which amoxicillin acts on a complex molecular network. The results showed that increasing the concentration of amoxicillin led to a gradual decrease in the number of live bacteria. Untargeted metabolomics analysis identified eleven metabolites that change as a result of amoxicillin exposure. Many of these metabolites are involved in arginine and proline metabolism, glutathione metabolism, arginine biosynthesis, cysteine and methionine metabolism, and tyrosine and phenylalanine metabolism. Molecular docking revealed that amoxicillin had a good binding effect on the proteins AGR1, ODC1, GPX1, GSH, MAT2A and CBS. Overall, this research provides potential targets for screening probiotic regulatory factors and lays a theoretical foundation for the elucidation of its mechanisms.

Objectives To explore the underlying mechanism of total flavonoids of Litchi seed (TFLS) in treating prostate cancer (PCa). Methods Cell Counting Kit-8 (CCK-8), EdU incorporation assay, trypan blue dye assay and colony formation assay were employed to evaluate the effect of TFLS on PCa in vitro. The xenograft mouse model was established to explore the anti-tumour effect of TFLS in vivo. Alterations in the metabolic profiles of the PC3 cells and mouse serum were obtained by untargeted metabolomics. Combination with metabolomics analysis and network pharmacology strategies, the potential targets were predicted and further validated by RT-qPCR. Key findings TFLS attenuated PCa progression both in vitro and in vivo. Metabolomics results yielded from cells and serum indicated that the anti-cancer effect of TFLS was correlated with synergistic modulation of five common metabolic pathways including glycerophospholipid metabolism, arginine and proline metabolism, glycine, serine and threonine metabolism, tryptophan metabolism and steroid biosynthesis. Using in silico prediction and RT-qPCR analysis, we further revealed that TFLS exerted anti-PCa activities via regulating the expressions of nine genes, including MAOA, ACHE, ALDH2, AMD1, ARG1, PLA2G10, PLA2G1B, FDFT1 and SQLE. Conclusions TFLS suppressed tumour proliferation in PCa, which may be associated with regulating lipid and amino acid metabolisms.

Aristolochic acid I (AAI) is one of the nephrotoxic derivatives present in genera Aristolochia and Asarum.

Computationally designing novel RORγ inverse agonists with higher activity using a systematic modeling study.

Osteoporosis is a systemic and metabolic bone disease that usually occurs in postmenopausal women, which mainly manifests as bone loss and increased bone fragility that both facilitate fracture. However, few drugs for osteoporosis have shown good efficacy and limited side effects. Vaccarin has demonstrated its antiosteoporosis effects by inhibiting the formation and osteolytic activities of osteoclasts in our previous investigation. In this study, multivariate statistical analysis and ultrahigh-performance liquid chromatography and quadrupole time-of-flight tandem mass spectrometry were used to analyze the serum metabolites of ovariectomized mice treated with or without vaccarin. As a result, 9 serum metabolites were identified as biomarkers. The metabolic levels of 3 crucial biomarkers, namely, lysophosphatidylcholine [22:6, (4Z, 7Z, 10Z, 13Z, 16Z, 19Z)], 1-linoleoylglycerophosphocholine and 1-palmitoyl-Sn-glycero-3-phosphocholine, that were correlated with glycerophospholipid metabolism increased and then decreased significantly after vaccarin treatment. Molecular docking analysis and osteoclasts differentiation experiment further revealed that vaccarin may bind with phospholipase A2 and downregulated its activity to reduce the osteoclastogenesis. Therefore, the occurrence of osteoporosis is closely related with glycerophospholipid metabolism disorders, and vaccarin exerts antiosteoporosis effects by reducing the levels of glycerophospholipid metabolites.

Hepatocellular carcinoma (HCC) is the sixth most common cancer and the third most common cause of cancer-related deaths. The WW-domain containing oxidoreductase (WWOX) protein suppresses carcinogenesis and its absence is closely related to aggressive HCC phenotypes. In this study, by using SPR analysis, cell viability assay and xenograft mice models, we found that albendazole (ABZ), a safe and effective anthelmintic drug, exhibited the binding affinity with WWOX protein and potential inhibition effect on HCC cells in vitro and in vivo. Overexpression and knockdown of WWOX confirmed that the suppression of HCC by ABZ. Flow cytometric analysis, western blotting analysis and Co-IP were conducted to study the mechanism of ABZ. Our data showed that ABZ regulated the interaction between WWOX and its binding proteins including p53 and C-MYC. Furthermore, ABZ triggered p53-induced intrinsic apoptosis and suppressed EMT-mediated migration by C-MYC/Fibronectin axis. In addition, ∆NP73 expression was significantly inhibited by ABZ, which further sensitized p53-induced intrinsic apoptosis and cell cycle arrest. In summary, ABZ could suppress the proliferation and migration of HCC cells by regulating WWOX-dependent signaling pathway.

Breast cancer has been the most commonly-diagnosed cancer worldwide, and the treatment and prognosis of which are often limited by breast cancer stem cells (BCSCs). Litchi seeds have shown good anti-cancer activity in various cancers including prostate cancer, lung cancer and breast cancer. However, the activity and underlying mechanism of Litchi seeds against BCSCs remain unknown.To investigate the activity and mechanism of total flavonoids of litchi seed (TFLS) against BCSCs in vitro and in vivo.Two orthotopic xenograft mouse models were established using HCC1806 cells pretreated or untreated with TFLS to determine whether TFLS could target BCSCs in vivo. Mammosphere formation and flow cytometry assays were employed to evaluate the effect of TFLS on BCSCs in vitro. The underlying mechanism was investigated using RT-qPCR, Western blot, immunohistochemistry and immunofluorescence experiments.TFLS could significantly inhibit the viability of HCC1806, MCF-7 and HCC1937 cells in vitro and suppress the growth of HCC1806 cells in vivo. TFLS attenuated stem cell-like properties of breast cancer through reducing the percentage of CD44TFLS could suppress the growth of breast cancer and eliminate breast cancer stem cells by inhibiting the Notch3 signaling pathway.

Marsdenia tenacissima injection (MTE), a traditional Chinese medical injection extracted from the rattan of Marsdenia tenacissima (Roxb.) Moon, has been approved for clinical use in China as an adjuvant therapeutic agent in multiple cancers, including esophageal cancer, gastric cancer, lung cancer, and liver cancer. However, the activity and mechanism of MTE on prostate cancer (PCa) remain to be defined.To investigate the activity and the underlying mechanism of MTE in the treatment of PCa.The component characterization of MTE was analyzed by HPLC-CAD-QTOF-MS/MS technology. Cell Counting Kit-8 (CCK-8) assay was used to assess PCa cell proliferation. Colony formation assay was applied to detect the clonogenic ability of the cells. MetaboAnalyst5.0 database was employed to analyze the altered metabolites of PC3 cells treated with MTE obtained by UPLC-QTOF-MS/MS. Combined with metabolomics analysis and network pharmacology, we predicted the potential targets, which further were verified by Western Blot, RT-qPCR, and Immunohistochemistry assays. Finally, SeeSAR software was applied to predict the potential active components of MTE against PCa.A total of 21 components in MTE were confirmed by HPLC-CAD-QTOF-MS/MS analysis. MTE inhibited the proliferation and colony formation of PCa cells. A total of 20 metabolites closely related to glycerophospholipid metabolism, glycolysis/gluconeogenesis, and tricarboxylic acid (TCA) cycle were significantly changed in PC3 cells treated with MTE. The network pharmacology analysis revealed that MTE suppressed the growth of PC3 cells might by regulating the ErbB2-GSK3β-HIF1α signaling axis. Furthermore, we also confirmed that stimulation of MTE significantly inhibited the phosphorylation of ErbB2 at Tyr877 and the activities of its downstream signal transducers (GSK3β and HIF1α) in PCa, as well as the mRNA levels of critical factors (IDH2, LDHA, and HIF1A) in the tricarboxylic acid (TCA) cycle. Molecular docking further suggested that Tenacissimoside E, cryptochlorogenic acid, and scopoletin might be the active ingredients of MTE for PCa treatment.This study proposed that MTE exerts a potential anti-tumor effect in PCa through inhibiting ErbB2-GSK3β-HIF1α signaling axis, which may be related to the TCA cycle.

Mangiferin is the major bioactive ingredient in the leaves of Mangifera indica L., Aqueous extract of such leaves have been traditionally used as an indigenous remedy for respiratory diseases including cough and asthma in Traditional Chinese Medicine. Mangiferin was shown to exert its anti-asthmatic effect by modulating Th1/Th2 cytokines imbalance via STAT6 signaling pathway. However, compelling evidence indicated that subtypes of T helpers and regulatory T cells other than Th1/Th2 were also involved in the pathogenesis of asthma. In current study, we investigated the effects of mangiferin on the differentiation and function of Th9, Th17 and Treg cells in a chicken egg ovalbumin (OVA)-induced asthmatic mouse model. Mangiferin significantly attenuated the symptoms of asthma attacks, reduced the total number of leukocytes, EOS and goblet cells infiltration in lung. Simultaneously, treatment with mangiferin remarkably decreased the proportion of Th9 and Th17 cells; reduced the levels of IL-9, IL-17A; inhibited the expression of PU.1 and RORγt in lung. However, the proportion of Treg cells, the expression of IL-10, TGF-β1 and Foxp3 were increased by mangiferin. Our data suggest that mangiferin exerted anti-asthmatic effect through decreasing Th9 and Th17 responses and increasing Treg response in OVA-induced asthmatic mouse model.

Natrin, a new member of the cysteine-rich secretory protein (CRISP) family purified from the snake venom of Naja naja atra, has been demonstrated to have anticancer activity. However, the underlying molecular mechanisms need further elucidation. In this study, MTT was used to evaluate cell viability. Apoptotic cells were analyzed by employing a transmission electron microscope (TEM). Metabolomic study of the metabolic perturbations caused by natrin-induced apoptosis in differentiated SMMC-7721 cells was performed for the first time by using integrative ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF MS). To investigate the possible mechanism in the mitochondrial pathway of natrin-induced apoptosis, we measured apoptosis-related mRNA changes using real-time fluorescent quantitative PCR (FQ-PCR). Cell proliferation was significantly inhibited after treatment with natrin in a dose-dependent manner. Principal component analysis (PCA) and partial least squares-discriminate analysis (PLS-DA) clearly demonstrated that metabolic profiles were affected by natrin. The results of multivariate statistical analysis showed that a total of 13 metabolites were characterized as potential biomarkers highly implicated in natrin-induced apoptosis, which corresponded to fluctuations of five pathways, including sphingolipid metabolism, fatty acid biosynthesis, fatty acid metabolism, glycerophospholipid metabolism and glycosphingolipid biosynthesis. Furthermore, natrin-induced apoptosis showed an increase in the Bax/Bcl-2 ratio in the mitochondrial pathway compared with controls. This study illustrated that rapid and holistic cell metabolomics combining molecular biological approaches might be a powerful tool for evaluating the underlying mechanisms of natrin-induced apoptosis, which would help to deepen specific insights into the anti-hepatoma mechanisms of natrin and facilitate the clinical application of natrin in the future.

Background Lei-gong-gen formula granule (LFG) is a folk prescription derived from Zhuang nationality, the largest ethnic minority among 56 nationalities in China. It consists of three herbs, namely Eclipta prostrata (L.) L., Smilax glabra Roxb, and Centella asiatica (L.) Urb. It has been widely used as health protection tea for hundreds of years to prevent hypertension in Guangxi Zhuang Autonomous Region. The purpose of this study is to validate the antihypertensive effect of LFG on the spontaneously hypertensive rat (SHR) model, and to further identify the effective components and anti-hypertension mechanism of LFG. Methods The effects of LFG on blood pressure, body weight, and heart rate were investigated in vivo using the SHR model. The levels of NO, ANG II, and ET-1 in the serum were measured, and pathological changes in the heart were examined by H&E staining. The main active components of LFG, their corresponding targets, and hypertension associated pathways were discerned through network pharmacology analysis based on the Traditional Chinese Medicine Systems Pharmacology (TCMSP), Traditional Chinese Medicine Integrated Database (TCMID), and the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM). Then the predicted results were further verified by molecular biology experiments such as RT-qPCR and western blot. Additionally, the potential active compounds were predicted by molecular docking technology, and the chemical constituents of LFG were analyzed and identified by UPLC-QTOF/MS technology. Finally, an in vitro assay was performed to investigate the protective effects of potential active compounds against hydrogen peroxide (H2O2) induced oxidative damage in human umbilical vein endothelial cells (HUVEC). Results LFG could effectively reduce blood pressure and increase serum NO content in SHR model. Histological results showed that LFG could ameliorate pathological changes such as cardiac hypertrophy and interstitial inflammation. From network pharmacology analysis, 53 candidate active compounds of LFG were collected, which linked to 765 potential targets, and 828 hypertension associated targets were retrieved, from which 12 overlapped targets both related to candidate active compounds from LFG and hypertension were screened and used as the potential targets of LFG on antihypertensive effect. The molecular biology experiments of the 12 overlapped targets showed that LFG could upregulate the mRNA and protein expressions of NOS3 and proto-oncogene tyrosine-protein kinase SRC (SRC) in the thoracic aorta. Pathway enrichment analysis showed that the PI3K-AKT signaling pathway was closely related to the expression of NOS3 and SRC. Moreover, western blot results showed that LFG significantly increased the protein expression levels of PI3K and phosphorylated AKT in SHR model, suggesting that LFG may active the PI3K-AKT signaling pathway to decrease hypertension. Molecular docking study further supported that p-hydroxybenzoic acid, cedar acid, shikimic acid, salicylic acid, nicotinic acid, linalool, and histidine can be well binding with NOS3, SRC, PI3K, and AKT. UPLC-QTOF/MS analysis confirmed that p-hydroxybenzoic acid, shikimic acid, salicylic acid, and nicotinic acid existed in LFG. Pre-treatment of HUVEC with nicotinic acid could alleviate the effect on cell viability induced by H2O2 and increase the NO level in cell supernatants. Conclusions LFG can reduce the blood pressure in SHR model, which might be attributed to increasing the NO level in serum for promoting vasodilation via upregulating SRC expression level and activating the PI3K-AKT-NOS3 signaling pathway. Nicotinic acid might be the potential compound for LFG antihypertensive effect.

Drug-induced diarrhea is a common adverse drug reaction, especially the one caused by the widespread use of antibiotics. The reduction of probiotics is one reason for intestinal disorders induced by an oral antibiotic. However, the intrinsic mechanism of drug-induced diarrhea is still unknown. In this study, we used metabolomics methods to explore the effects of the classic oral antibiotic, amoxicillin, on the growth and metabolism of Lactobacillus acidophilus, while scanning electron microscopy (SEM) and 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays were employed to evaluate changes in cell activity and morphology. The results showed that cell viability gradually decreased, while the degree of cell wall rupture increased, with increasing amoxicillin concentrations. A non-targeted metabolomics analysis identified 13 potential biomarkers associated with 9 metabolic pathways. The data showed that arginine and proline metabolism, nicotinate and nicotinamide metabolism, pyrimidine metabolism, glycine, serine and threonine metabolism, beta-alanine metabolism, glycerolipid metabolism, tryptophan metabolism, steroid hormone biosynthesis, and histidine metabolism may be involved in the different effects exerted by amoxicillin on L. acidophilus. This study provides potential targets for screening probiotics regulators and lays a theoretical foundation for the elucidation of their mechanisms.

Objectives Stroke is the third most common cause of death and also causes seizures and disability. Biomarkers are abnormal signal indicators at the biological level that are present before the organism is seriously affected and are more sensitive to early diagnosis than are traditional imaging methods. Early diagnosis of stroke can prevent the progression of the disease. However, there are currently no widely accepted biomarkers for stroke that have been applied clinically. Methods A serum metabonomics method based on ultra-high-performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry (UPLC-Q-TOF/MS) was used to identify potential biomarkers and metabolic pathways of cerebral infarction. The receiver-operating characteristic (ROC) curve was used to verify the diagnostic and classification abilities of the biomarkers, and a support vector machine (SVM) model was developed for the prediction of cerebral infarction. Results Principal component analysis revealed a clear separation between the normal and cerebral infarction groups. A total of 13 potential serum biomarkers were identified, which were mainly involved in linoleic acid metabolism; phenylalanine, tyrosine, and tryptophan biosynthesis; tyrosine metabolism; arachidonic acid metabolism; and fatty acid biosynthesis. The ROC curve analysis showed that the potential biomarkers had high specificity and sensitivity for the diagnosis of cerebral infarction. The SVM model had good diagnostic ability and could accurately distinguish the control group from the cerebral infarction group. Discussion The metabonomics approach may be a useful bioanalytical method for understanding the pathophysiology of cerebral infarction and may provide an experimental basis for the development of clinical biomarkers for stroke.

Objectives Milletia speciosa Champ (MS), a traditional Chinese medicine, has the abilities of antistress, antifatigue, anti-oxidation and so on. In our previous study, MS was found to antidepression while the underlying mechanism of which needs further elucidation. Methods Here, a proton nuclear magnetic resonance (1H-NMR)-based metabonomics combined network pharmacology research approach was performed to investigate the antidepressive mechanism of MS act on mouse with chronic unpredictable mild stress-induced depression. Key findings Results showed that MS could alleviate the ethology of depression (including sucrose preference degree, crossing lattice numbers and stand-up times) and disordered biochemical parameters (5-hydroxytryptamine, norepinephrine and brain-derived neurotrophic factor). Metabonomics study and network pharmacology analysis showed that MS might improve depression through synergistically regulating five targets including Maoa, Maob, Ache, Ido1 and Comt, and three metabolic pathways such as tryptophan metabolism, synthesis of neurotransmitter and phospholipid metabolism. Conclusions This study for the first time preliminary clarified the potential antidepressive mechanism of MS and provided theoretical basis for developing MS into novel effective antidepressant.

Considerable pharmacological studies have demonstrated that the extracts and ingredients from different parts (seeds, peels, pulps, and flowers) of Litchi exhibited anticancer effects by affecting the proliferation, apoptosis, autophagy, metastasis, chemotherapy and radiotherapy sensitivity, stemness, metabolism, angiogenesis, and immunity via multiple targeting. However, there is no systematical analysis on the interaction network of “multiple ingredients-multiple targets-multiple pathways” anticancer effects of Litchi. In this study, we summarized the confirmed anticancer ingredients and molecular targets of Litchi based on published articles and applied network pharmacology approach to explore the complex mechanisms underlying these effects from a perspective of system biology. The top ingredients, top targets, and top pathways of each anticancer function were identified using network pharmacology approach. Further intersecting analyses showed that Epigallocatechin gallate (EGCG), Gallic acid, Kaempferol, Luteolin, and Betulinic acid were the top ingredients which might be the key ingredients exerting anticancer function of Litchi, while BAX, BCL2, CASP3, and AKT1 were the top targets which might be the main targets underling the anticancer mechanisms of these top ingredients. These results provided references for further understanding and exploration of Litchi as therapeutics in cancer as well as the application of “Component Formula” based on Litchi’s effective ingredients.

Liver fibrosis is a common consequence of chronic liver diseases resulting from multiple etiologies. Furthermore, prolonged unresolved liver fibrosis may gradually progress to cirrhosis, and eventually evolve into hepatocellular carcinoma (HCC). Corydalis saxicola Bunting (CS), a type of traditional Chinese folk medicine, has been reported to have hepatoprotective effects on the liver. However, the exact mechanism of how it cures liver fibrosis requires further elucidation. In this work, an integrated approach combining proton nuclear magnetic resonance (1H-NMR)-based metabonomics and network pharmacology was adopted to elucidate the anti-fibrosis mechanism of CS. Metabonomic study of serum biochemical changes by carbon tetrachloride (CCl4)-induced liver fibrosis in rats after CS treatment were performed using 1H-NMR analysis. Metabolic profiling by means of partial least squares-discriminate analysis (PLS-DA) indicated that the metabolic perturbation caused by CCl4 was reduced after CS treatment. As a result, lipids, leucine, alanine, acetate, O-acetyl-glycoprotein and creatine were significantly restored after CS treatment, which regulated valine, leucine and isoleucine metabolism; arginine and proline metabolism; lipid metabolism and pyruvate metabolism. Additionally, 157 potential targets of CS and 265 targets of liver fibrosis were identified by means of network pharmacology. Subsequently, 5 target proteins, which are the intersection of potential CS targets and liver fibrosis targets, indicated that CS has potential anti-fibrosis effects through regulating alanine aminotransferase (ALT) activity, the farnesoid X receptor (FXR), cyclooxygenase-2 (COX-2), matrix metalloproteinase-1 (MMP-1) and angiotensinogen. Chelerythrine and sanguinarine were the potential active compounds in CS for treating liver fibrosis through regulating ALT activity. This study is the first report to study the anti-fibrosis effects of CS on the basis of combining a metabonomics and network pharmacology approaches, and it may be a potentially powerful tool to study the efficacy and mechanisms of traditional Chinese folk medicines.

Objectives To provide a comprehensive study of the intervention mechanism and compatible regularity of Chaihu Shu Gan San (CSGS) in a chronic unpredictable mild stress (CUMS)-induced depression model. Methods Ethological study and ELISA assay were applied to measure the phenotypes of depression after CUMS stimulate and assess the antidepressant activity of fluoxetine, CSGS and its compatibilities. The serum metabolic profile changes were revealed by untargeted Q/TOF MS-based metabolomics followed by multivariate statistical analysis. Key findings CSGS exhibits an significant intervention effect on CUMS-induced depression. After the multivariate statistical analysis, 17 potential serum biomarkers were identified and 16 of them could be regulated by CSGS. The intervention of CSGS on CUMS-induced depression involved five key pathways. Moreover, each functional unit (monarch, minister, assistant and guide medicine) in CSGS regulates different metabolites and metabolic pathways to achieve different effects on antidepressant; however, their intervention efficacies are inferior to the holistic formula, which may be due to the synergism of bioactive ingredients in the seven herbs of CSGS. Conclusions CSGS produced an obvious antidepressant activity. The comprehensive and holistic metabolomics approach could be a powerful tool to study the intervention mechanism and the compatibility rule of traditional Chinese medicine.

As a traditional Chinese medicine (TCM), Millettia speciosa Champ (MSC), exerts a wide range of pharmacological activities. Our research group previously found that MSC has antidepressant effects, but the specific antidepressant mechanisms remain unclear. Therefore, in this study, urine metabolomics based on ultra-performance liquid chromatography/quadrupole time of flight mass spectrometry (UPLC-Q-TOF/MS) combined with pharmacodynamics was used to explore the pathogenesis of depression and the antidepressant effects of MSC. The results showed that MSC treatment could significantly improve chronic unpredictable mild stress (CUMS)-induced depression. Urine metabolic showed that the profiles of the CUMS model group were significantly separated from the control group, while the drug-treated groups were closer to the control group, especially the MSC group treated with a 14 g/kg dose of MSC. Furthermore, 9 metabolites, including glutaric acid, L -isoleucine, L -Dopa, sebacic acid, 3-methylhistidine, allantoin, caprylic acid, tryptophol, and 2-phenylethanol glucuronide, were identified as potential biomarkers of depression. Metabolic pathway analysis showed that these potential biomarkers were mainly involved in valine, leucine, and isoleucine biosynthesis, aminoacyl-tRNA biosynthesis, valine, leucine and isoleucine degradation, tyrosine metabolism, histidine metabolism, fatty acid biosynthesis, and pentose and glucuronate interconversions. Through Receiver operating characteristic (ROC) analysis and Pearson correlation analysis, the combination of L -isoleucine, sebacic acid, and allantoin, were further screened out as potential pharmacodynamic biomarkers associated with the efficacy of MSC. This study suggests that the integration of metabolomics with pharmacodynamics helps to further understand the pathogenesis of depression and provides novel insight into the efficacy of TCM.

Diabetes is one of the most severe chronic diseases worldwide. It is widely accepted that apoptosis of the pancreatic beta cell is an important cause for the induction of hyperglycemia and high levels of free fatty acids (FFAs), also called lipotoxicity associated with pancreatic beta cell dysfunction. Lipotoxicity has been proven to be an important pathogenic factor of diabetes. However, until now, the mechanism of FFA-induced lipotoxicity in INS-1 cells has not been fully understood. Current anti-diabetic drugs that protect islet cells are often toxic to healthy cells, resulting in negative side effects. Thus, there is an urgent need to identify more effective and safer anti-diabetic agents to protect pancreatic islet cells. Rubusoside (RUB) is a major ingredient in the leaves of Rubus suavissimus S. Lee, which decreases blood glucose levels by protecting pancreatic islet cells. However, the exact mechanism of this effect is unknown. In this study, metabolomics experiments based on UPLC-Q/TOF MS characterized a total of 15 metabolites as potential biomarkers associated with lipotoxicity induced by palmitic acid in INS-1 cells. According to the metabolic pathway analysis, pentose and glucuronate interconversions, and glycerophospholipid metabolism were recognized as the most influenced metabolic pathways associated with lipotoxicity. Unexpectedly, deviations of 14 metabolites in lipotoxic INS-1 cells were regulated by RUB, suggesting synergistic mediation of the abnormal metabolic pathways. The metabolomics strategy based on UPLC/Q-TOF MS analysis provides a new insight into the mechanisms of lipotoxicity induced by palmitic acid and the anti-lipotoxic activity of RUB in INS-1 cells.

Gut microbiota dysbiosis induced by antibiotics is strongly connected with health concerns. Studying the mechanisms underlying antibiotic-induced gut microbiota dysbiosis could help to identify effective drugs and prevent many serious diseases. In this study, in rats with antibiotic-induced gut microbiota dysbiosis treated with total alkaloids of Corydalis saxicola Bunting (TACS), urinary and fecal biochemical changes and cecum microbial diversity were investigated using 16S rRNA gene sequencing analysis and untargeted metabolomics. The microbial diversity results showed that 10 genera were disturbed by the antibiotic treatment, and two of them were obviously restored by TACS. The untargeted metabolomics analysis identified 34 potential biomarkers in urine and feces that may be the metabolites that are most related to the mechanisms underlying antibiotic-induced gut microbiota dysbiosis and the therapeutic effects of TACS treatment. The biomarkers were involved in six metabolic pathways, comprising pathways related to branched-chain amino acid (BCAA), bile acid, arginine and proline, purine, aromatic amino acid, and amino sugar and nucleotide sugar metabolism. Notably, there was a strong correlation between these metabolic pathways and two gut microbiota genera (g__Blautia and g__Intestinibacter). The correlation analysis suggested that TACS might synergistically affect four of these metabolic pathways (BCAA, bile acid, arginine and proline, and purine metabolism), thereby modulating gut microbiota dysbiosis. Furthermore, we performed a molecular docking analysis involving simulating high-precision docking and using molecular pathway maps to illuminate the way that ligands (the five main alkaloid components of TACS) act on a complex molecular network, using CYP27A1 (a key enzyme in the bile acid synthesis pathway) as the target protein. This study provides a comprehensive overview of the intervening effects of TACS on the host metabolic phenotype and gut microbiome in rats with gut microbiota dysbiosis, and it presents new insights for the discovery of effective drugs and the best therapeutic approaches.

Long-term hyperglycemia associated with diabetes mellitus (DM) causes damage to various organs and tissues, including the eyes, kidneys, heart, blood vessels and nerves. Rubus Suavissimus S. Lee (RS), a shrub whose leaves are used in traditional Chinese medicine (TCM), has been shown to exert hypoglycemic effects in DM patients. However, the underlying mechanism is unclear. This was investigated in the present study in a rat model of streptozotocin-induced type 1 diabetes mellitus (T1DM) by 1H NMR analysis. We identify 9 metabolites whose levels were altered in T1DM rats compared to control rats, namely, lactate, acetate, pyruvate, succinate, 2-oxoglutarate, citrate, creatinine, allantoin, and hippurate, which are mostly related to glycolysis/gluconeogenesis, pyruvate metabolism, TCA cycle, and other metabolism. The observed pathologic changes in the levels of these metabolites in T1DM rats were reversed by treatment with RS. Thus, RS exerts effects in T1DM rats by regulating the three abnormal metabolic pathways synergistically. These findings provide supporting evidence for the therapeutic efficacy of this TCM formulation in the treatment of DM.

Ethnopharmacological relevance Lei-gong-gen formula granule (LFG) is a folk prescription derived from Zhuang nationality, the largest ethnic minority among the 56 nationalities in China. It is composed of three herbs, namely Centella asiatica (L.) Urb., Eclipta prostrata (L.) L., Smilax glabra Roxb. It has been widely used as health protection tea for many years to prevent cardiovascular and cerebrovascular diseases such as hyperlipidemia and hypertension. Aim of the study This study validated the lipid-lowering effect of LFG in a hyperlipidemia rat model. Then we employed network pharmacology and molecular biological approach to identify the active ingredients of LFG, corresponding targets, and its anti-hyperlipidemia mechanisms. Materials and methods Hyperlipidemia rat model was established by feeding male Sprague-Dawley rats with high-fat diet for two weeks. LFG (two doses of 10 and 20 g/kg) was administered orally to hyperlipidemia rat model for 4 weeks, twice per day. Serum levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) were monitored in rats pre and post-treatment. Hematoxylin-eosin staining was applied to observe the pathology and lipid accumulation of liver. We then performed network pharmacology analysis to predict the ingredients, their associated targets, and hyperlipidemia associated targets. Pathway analysis with significant genes was carried out using KEGG pathway. These genes and proteins intersectioned between compound targets and hyperlipidemia targets were further verified with samples from hyperlipidemia rats treated with LFG using Real-time RT-PCR and Western Blot. Results LFG attenuated hyperlipidemia in rat model, and this was characterized with decreased serum levels of TC, LDL-C, liver wet weight, and liver index. LFG alleviated the hepatic steatosis in hyperlipidemia rats. Network pharmacology analysis identified 53 bioactive ingredients from LFG formula (three herbs), which link to 765 potential targets. 53 hyperlipidemia associated genes were retrieved from public databases. There were 10 common genes between ingredients-targets and hyperlipidemia associated genes, which linked to 20 bioactive ingredients. Among these 10 genes, 3 of them were validated to be involved in LFG's anti-hyperlipidemia effect using Real-time RT-PCR, namely ADRB2 encoding beta-2 adrenergic receptor, NOS3 encoding nitric oxide synthase 3, LDLR encoding low-density lipoprotein receptor. The cGMP-PKG signaling pathway was enriched for hyperlipidemia after pharmacology network analysis with ADRB2, NOS3, and LDLR. Interestingly, expression of cGMP-dependent protein kinase (PKG) was downregulated in hyperlipidemia rat after LFG treatment. Molecular docking study further supported that ferulic acid, histidine, p-hydroxybenzoic acid, and linalool were potential active ingredients for LFG's anti-hyperlipidemia effect. LC-MS/MS analysis confirmed that ferulic acid and p-hydroxybenzoic acid were active ingredients of LFG. Conclusion LFG exhibited the lipid-lowering effect, which might be attributed to downregulating ADRB2 and NOS3, and upregulating LDLR through the cGMP-PKG signaling pathway in hyperlipidemia rat. Ferulic acid and p-hydroxybenzoic acid might be the underlying active ingredients which affect the potential targets for their anti-hyperlipidemia effect.

Blood stasis syndrome (BSS) is one of the common syndromes in traditional Chinese medicine (TCM). It involves abnormal blood circulation, which can progress to produce many severe diseases. Danggui Sini decoction (DSD) is a classical TCM prescription frequently used to treat BSS by decreasing blood stasis and improving blood circulation. However, understanding of the therapeutic mechanism of DSD during the development of BSS is still limited, as the development of BSS is a slow dynamic process. Therefore, a dynamic urinary metabolomics analysis based on ultra-high-performance liquid chromatography-quadrupole-time of flight tandem mass spectrometry (UHPLC-Q-TOF/MS) combined with multivariate statistical analysis was used to explore the distinctive metabolic patterns of BSS development and the efficacy of DSD. The dynamic changes of endogenous metabolites over time revealed the progression of BSS and allowed the overall efficacy of DSD in rats with BSS to be evaluated. The effects of the DSD compatibilities were also explored. A total of 21 metabolites were identified during the development of BSS. They are involved in the metabolic pathways of tryptophan metabolism, phenylalanine metabolism, riboflavin metabolism, nicotinate and nicotinamide metabolism, pentose and glucuronate interconversions, histidine metabolism, steroid hormone biosynthesis, and starch and sucrose metabolism. A receiver operating characteristic (ROC) curve analysis showed that 10 metabolites with an area under the curve (AUC) value >0.9, which can be used as potential biomarkers for the diagnosis of BSS. In conclusion, a dynamic urinary metabolomics approach was applied to identify potential biomarkers of the development of BSS and to clarify the therapeutic mechanism of DSD in BSS. The results could provide a theoretical basis for further research on the therapeutic mechanism of DSD.

Ferulic acid (FA), a naturally derived phenolic compound, has antioxidant and antidepressant-like effects. It is still a challenge to study its mechanism due to the complexity of the pathophysiology of depression. In this study, ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) was used to perform metabolomics studies based on biochemical changes in differentiated rat pheochromocytoma (PC12) cells treated with corticosterone-induced neurological damage after FA treatment. A total of 31 metabolites were identified as potential biomarkers for corticosterone-induced PC12 cells injury. Among them, 24 metabolites were regulated after FA treatment. Pathway analysis revealed that these metabolites were mainly involved in the amino acid metabolism, energy metabolism and glycerophospholipid metabolism. In addition, based on the results of metabolomics, three cell signaling pathways related to glutamate were discovered. To further study the interactions between FA and major targets in three signaling pathways, a molecular docking method was employed. The results showed that FA had the strongest binding power with protein kinase B (AKT). Furthermore, the result of mRNA changes analyzed by quantitative real time RT-PCR indicated that AKT and protein kinase A (PKA) in the signaling pathway were up regulated after treatment with FA compared with model group. This study shows that strategies based on cell metabolomics associated with molecular docking and molecular biology is a helpful tool to elucidate the neuroprotective mechanism of FA.

Danggui-Sini Decoction (DSD) is one of the most widely used traditional Chinese medicine formulae (TCMF) for treating various diseases caused by cold coagulation and blood stasis due to its effect of nourishing blood to warm meridians in clinical use. However, studies of the mechanism of how it dispels blood stasis and its compatible regularity are challenging because of the complex pathophysiology of blood stasis syndrome (BSS) and the complexity of DSD, with multiple active ingredients acting on different targets. Observing variations of endogenous metabolites in rats with BSS after administering DSD may further our understanding of the mechanism of BSS and the compatible regularity of DSD. In this study, to understand the pathogenesis of BSS and assess the compatibility effects of DSD, an ultra-performance liquid chromatography quadrupole-time of flight mass spectrometry-based untargeted metabolomics approach was used. Serum metabolic profiles in rats with BSS that was induced by an ice water bath associated with subcutaneous injection of epinephrine hydrochloride were compared with the intervention groups which were administered with DSD or its compatibility. Using pattern recognition analysis, a clear separation between the BSS model and control group was observed; DSD and its compatibility intervention groups were clustered closer toward the control than the model group, which corroborates results of hemorheology studies. In addition, 20 metabolites were considered as potential biomarkers associated with the development of BSS. Nine metabolites were regulated by DSD in intervening blood stasis, they were considered to be correlated with the effect of nourishing blood to warm meridians. Additionally, the results suggested that the intervention effect of DSD on BSS may involve regulating four pathways, namely, arachidonic acid metabolism, glycerophospholipid metabolism, bile acid biosynthesis, and pyruvate metabolism. Moreover, each functional unit (monarch, minister, and assistant) in DSD regulates different metabolites and metabolic pathways to achieve different effects on dispelling blood stasis; however, their intervention efficacies are inferior to the holistic formula, which may be due to the synergism of the bioactive ingredients in seven herbs of DSD. This study demonstrated that metabolomics is a powerful tool for evaluating the efficacy and compatibility effects of traditional Chinese medicine (TCM).