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1.
Phytomedicine ; 93: 153781, 2021 Sep 27.
Artigo em Inglês | MEDLINE | ID: mdl-34649212

RESUMO

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most extensive and most deadly cancers worldwide. The invasion and metastasis characteristics of HCC dramatically affect the prognosis and survival of HCC patients. Compound Kushen Injection (CKI) is a GMP produced, proverbially applied traditional Chinese medicine formula in China to treat cancer-associated pains, and used as an adjunctive therapy for HCC. Until so far, whether CKI could suppress the metastasis of HCC through regulation of epithelial-mesenchymal transition or metabolic reprogramming is still ambiguous. PURPOSE: In this study, the anti-metastasis effects of CKI were clarified and its pharmacological mechanisms were systematically explored. METHODS: Cell invasion and cell adhesion assay were performed in SMMC-7721 cells to assess the anti-metastasis role of CKI, and the histopathological evaluation and biochemical detection were utilized in DEN-induced HCC rats to verify the anti-HCC effect of CKI. Serum and liver samples were analyzed with 1H NMR metabolomics approach to screen the differential metabolites and further target quantification the content of key metabolites. Finally, western blotting and immunofluorescence assay were applied to verify the crucial signaling pathway involved in metabolites. RESULTS: CKI markedly repressed the invasion and adhesion in SMMC-7721 cells and significantly improved the liver function of DEN-induced HCC rats. CKI significantly regulated the expression of epithelial-mesenchymal transition (EMT) markers (Vimentin and E-cadherin). Metabolomics results showed that CKI regulated the metabolic reprogramming of HCC by inhibiting the key metabolites (citrate and lactate) and enzymes (HK and PK) in glycolysis process. Importantly, we found that c-Myc mediates the inhibitory effect of CKI on glycolysis. We further demonstrated that CKI inhibits c-Myc expression through modulating Wnt/ß-catenin pathway in SMMC-7721 cells and DEN-induced HCC rats. Furthermore, through activating Wnt/ß-catenin pathway with LiCl, the inhibitory effects of CKI on HCC were diminished. CONCLUSION: Together, this study reveals that CKI intervenes metabolic reprogramming and epithelial-mesenchymal transition of HCC via regulating ß-catenin/c-Myc signaling pathway. Our research provides a new understanding of the mechanism of CKI against invasion and metastasis of HCC from the perspective of metabolic reprogramming.

2.
Zhongguo Zhong Yao Za Zhi ; 46(16): 4230-4237, 2021 Aug.
Artigo em Chinês | MEDLINE | ID: mdl-34467737

RESUMO

This study aimed to explore the mechanism of Xiaoyao San(XYS) in the treatment of three diseases of liver depression and spleen deficiency, ie, depression, breast hyperplasia, and functional dyspepsia, and to provide a theoretical basis for the interpretation of the scientific connotation of "treating different diseases with the same method" of traditional Chinese medicines. Traditional Chinese medicine systems pharmacology database and analysis platform(TCMSP) was used to screen the active components of XYS which underwent principal component analysis(PCA) with the available drugs for these three diseases to determine the corresponding biological activities. The targets of XYS on depression, breast hyperplasia, and functional dyspepsia were obtained from GeneCards, TTD, CTD, and DrugBank databases. Cytoscape was used to plot the "individual herbal medicine-active components-potential targets" network. The resulting key targets were subjected to Kyoto encyclopedia of genes and genomes(KEGG) pathway analysis and gene ontology(GO) enrichment analysis. A total of 121 active components of XYS and 38 common targets in the treatment of depression, breast hyperplasia, and functional dyspepsia were collected. The key biological pathways were identified, including advanced glycation and products(AGEs)-receptor for advanced glycation and products(RAGE) signaling pathway in diabetic complications, HIF-1 signaling pathway, and cancer-related pathways. The key targets of XYS in the treatment of depression, breast hyperplasia, and functional dyspepsia included IL6, IL4, and TNF, and the key components were kaempferol, quercetin, aloe-emodin, etc. As revealed by the molecular docking, a strong affinity was observed between the key components and the key targets, which confirmed the results. The therapeutic efficacy of XYS in the treatment of diseases of liver depression and spleen deficiency was presumedly achieved by reducing the inflammatory reactions. The current findings are expected to provide novel research ideas and approaches to classify the scientific connotation of "treating different diseases with the same method" of Chinese medicines, as well as a theoretical basis for understanding the mechanism of XYS and exploring its clinical applications.


Assuntos
Medicamentos de Ervas Chinesas , Dispepsia , Depressão/tratamento farmacológico , Medicamentos de Ervas Chinesas/farmacologia , Dispepsia/tratamento farmacológico , Humanos , Hiperplasia/tratamento farmacológico , Medicina Tradicional Chinesa , Simulação de Acoplamento Molecular
3.
Zhongguo Zhong Yao Za Zhi ; 46(13): 3240-3248, 2021 Jul.
Artigo em Chinês | MEDLINE | ID: mdl-34396743

RESUMO

Circadian rhythm disorder is a common society issue caused by jet lag,shift work,sleep disruption and changes in food consumption. Light is the major factor affecting the circadian rhythm system. Disruption of the circadian rhythm system can cause damage to the body,leading to some diseases. Maintaining a normal circadian system is of great importance for good health. Ideal therapeutic effect can not only alleviate symptoms of the diseases,but also recovery the disturbed circadian rhythm to normal. The paper summarizes the modeling methods of animal circadian rhythm disorder,diseases of circadian rhythm abnormality,regulation of circadian clock genes and medicine which are related to circadian rhythm to diseases of circadian rhythm disorder.


Assuntos
Ritmo Circadiano , Transtornos do Sono do Ritmo Circadiano , Animais , Ritmo Circadiano/genética , Humanos , Síndrome do Jet Lag/tratamento farmacológico , Síndrome do Jet Lag/genética , Sono
4.
ACS Chem Neurosci ; 12(13): 2320-2335, 2021 07 07.
Artigo em Inglês | MEDLINE | ID: mdl-34152720

RESUMO

Baicalein is an active ingredient extracted from the dried roots of the Scutellaria baicalensis Georgi. It has been demonstrated to improve memory impairment in multiple animal models; however, the underlying mechanisms remain ambiguous. The accumulation of senescent astrocytes and senescence-associated secretory phenotype (SASP) secreted by senescent astrocytes has been deemed as potential contributors to neurodegenerative diseases. Therefore, this study explored the protective effects of baicalein against astrocyte senescence and investigated the molecular mechanisms and metabolic mechanisms of baicalein against astrocyte senescence. Our results demonstrated that treatment with baicalein protects T98G cells from H2O2-induced damage, delays cell senescence, inhibits the secretion of SASP (IL-6, IL-8, TNF-α, CXCL1, and MMP-1), and inhibits SASP-related pathways NF-κB and JAK2/STAT1. 1H NMR metabolomics analysis and correlation analysis revealed that leucine was significantly correlated with SASP factors. Further study demonstrated that supplement with leucine could restrain SASP secretion, and baicalein could significantly increase leucine level through down-regulation of BCAT1 and up-regulation of SLC7A5 expression. The above results revealed that baicalein exerted protective and antisenescence effects in H2O2-induced T98G cells possibly through inhibition of SASP, suppression of JAK2/STAT1/NF-κB pathway, and regulation of leucine metabolism. Consistent results were obtained in primary astrocytes of newborn SD rats, which suggests that baicalein significantly increases viabilities, delays senescence, inhibits IL-6 secretion, and increases leucine level in H2O2-induced primary astrocytes.


Assuntos
Astrócitos , NF-kappa B , Animais , Astrócitos/metabolismo , Senescência Celular , Flavanonas , Peróxido de Hidrogênio , Janus Quinase 2 , Leucina , NF-kappa B/metabolismo , Ratos , Ratos Sprague-Dawley , Fator de Transcrição STAT1
5.
J Proteome Res ; 20(7): 3549-3558, 2021 07 02.
Artigo em Inglês | MEDLINE | ID: mdl-34077228

RESUMO

The severe harm of depression to human life has attracted great attention to neurologists, but its pathogenesis is extremely complicated and has not yet been fully elaborated. Here, we provided a new strategy for revealing the specific pathways of abnormal brain glucose catabolism in depression, based on the supply of energy substrates and the evaluation of the mitochondrial structure and function. By using stable isotope-resolved metabolomics, we discovered that the tricarboxylic acid cycle (TCA cycle) is blocked and gluconeogenesis is abnormally activated in chronic unpredictable mild stress (CUMS) rats. In addition, our results showed an interesting phenomenon that the brain attempted to activate all possible metabolic enzymes in energy-producing pathways, but CUMS rats still exhibited a low TCA cycle activity due to impaired mitochondria. Depression caused the mitochondrial structure and function to be impaired and then led to abnormal brain glucose catabolism. The combination of the stable isotope-resolved metabolomics and mitochondrial structure and function analysis can accurately clarify the mechanism of depression. The mitochondrial pyruvate carrier and acetyl-CoA may be the key targets for depression treatment. The strategy provides a unique insight for exploring the mechanism of depression, the discovery of new targets, and the development of ideal novel antidepressants. Data are available via ProteomeXchange with identifier PXD025548.


Assuntos
Depressão , Metabolômica , Animais , Encéfalo , Glucose , Isótopos , Ratos , Ratos Sprague-Dawley
6.
ACS Chem Neurosci ; 12(12): 2151-2166, 2021 06 16.
Artigo em Inglês | MEDLINE | ID: mdl-34060807

RESUMO

Depression has drawn increasing attention from the public around the world in recent years. Studies have shown that liver injury caused by chronic stress is relevant to depression and neurotransmitter changes. It is essential to clarify the relationship between neurotransmitter changes and hepatic gene expression in depression. In this study, we used the chronic unpredictable mild stress (CUMS) model combined with UHPLC-MS to explore the changes of neurotransmitters in serum and hippocampus and to decipher the differential gene expression in the liver by using the RNA-Seq combined with multivariate statistical analysis. Compared with the control group, the levels of neurotransmitters including 5-hydroxytryptamine (5-HT), acetylcholine, glutamate (Glu), and dopamine (DA) in the hippocampus and 5-HT, norepinephrine, γ-aminobutyric acid (GABA), and 5-hydroxyindoleacetic acid in serum were significantly changed in the CUMS rats. The results of liver transcriptomic analysis and correlation analysis showed that the Glu, DA, 5-HT, and GABA were impacted by 68 liver genes which were mainly enriched in three pathways including circadian rhythm, serotonergic synapse, and p53 signaling pathway. The expressive levels of clock genes and serotonergic synapse genes were validated by using q-PCR, and the diurnal rhythms of neurotransmitters were validated by in vivo hippocampus microdialysis. The CUMS stressors might cause phase advance of Glu and GABA by adjusting clock genes. The transcriptomic technique combined with correlation analysis and in vivo microdialysis could be used to discover comprehensive pathways of depression. It provides a new strategy for the rational assessment of the mechanism of disease.


Assuntos
Ritmo Circadiano , Depressão , Animais , Ritmo Circadiano/genética , Depressão/genética , Modelos Animais de Doenças , Fígado , Neurotransmissores , Ratos , Estresse Psicológico , Transcriptoma
7.
J Pharm Biomed Anal ; 201: 114123, 2021 Jul 15.
Artigo em Inglês | MEDLINE | ID: mdl-33989991

RESUMO

This study aimed to demonstrate the scientific connotations and compatibility effects of Xiaoyaosan (XYS) based on the theory of "Treating Diseases via Regulating the Liver's Function" by hepatic metabolomics. XYS was divided into two efficacy groups, i.e. the Shugan (SG) and the Jianpi (JP) groups, according to the strategy of "Efficacy Compositions". The chronic unpredictable mild stress (CUMS) depression model was constructed. A 1H NMR-based hepatic metabolomics approach coupled with multivariate data (MVD) analysis was performed. Meanwhile, relative distance (RD) and Efficacy Index (EI) were calculated. XYS and its efficacy groups significantly reversed the abnormality of behavior and hepatic metabolomics of depression rats, but to different degrees. The results of ethology and metabolomics showed the same order, i.e. XYS > JP > SG. Two metabolites, i.e. tyrosine and malate, were regulated by all the treatment groups. Four metabolites were significantly regulated only by XYS group. Of note, the results showed the two efficacy groups of XYS exhibited synergistic anti-depression effects, and glutamate, malate and taurine could be the key hepatic metabolites for these synergistic effects. The current study not only complements and consummates the mechanisms of depression and the anti-depression effects of XYS from the perspective of hepatic metabolomics, but also lays a solid foundation for comprehensively and deeply understanding the compatibility effects of XYS against depression, especially from the points of view of compatibility in Traditional Chinese medicine (TCM) theory and synergism in modern medicine theory.


Assuntos
Medicamentos de Ervas Chinesas , Medicina Tradicional Chinesa , Animais , Antidepressivos , Depressão/tratamento farmacológico , Depressão/etiologia , Modelos Animais de Doenças , Medicamentos de Ervas Chinesas/farmacologia , Fígado , Metabolômica , Ratos
8.
Acta Pharmacol Sin ; 42(8): 1223-1234, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-33859344

RESUMO

Hemorrhagic transformation (HT) is a common serious complication of stroke after thrombolysis treatment, which limits the clinical use of tissue plasminogen activator (t-PA). Since early diagnosis and treatment for HT is important to improve the prognosis of stroke patients, it is urgent to discover the potential biomarkers and therapeutic drugs. Recent evidence shows that pinocembrin, a natural flavonoid compound, exerts anti-cerebral ischemia effect and expands the time window of t-PA. In this study, we investigated the effect of pinocembrin on t-PA-induced HT and the potential biomarkers for HT after t-PA thrombolysis, thereby improving the prognosis of stroke. Electrocoagulation-induced thrombotic focal ischemic rats received intravenous infusion of t-PA (10 mg/kg) 6 h after ischemia. Administration of pinocembrin (10 mg/kg, iv) prior t-PA infusion significantly decreased the infarct volume, ameliorated t-PA-induced HT, and protected blood-brain barrier. Metabolomics analysis revealed that 5 differential metabolites in the cerebral cortex and 16 differential metabolites in serum involved in amino acid metabolism and energy metabolism were significantly changed after t-PA thrombolysis, whereas pinocembrin administration exerted significant intervention effects on these metabolites. Linear regression analysis showed that lactic acid was highly correlated to the occurrence of HT. Further experiments confirmed that t-PA treatment significantly increased the content of lactic acid and the activity of lactate dehydrogenase in the cerebral cortex and serum, and the expression of monocarboxylate transporter 1 (MCT 1) in the cerebral cortex; pinocembrin reversed these changes, which was consistent with the result of metabolomics. These results demonstrate that pinocembrin attenuates HT after t-PA thrombolysis, which may be associated with the regulation of endogenous metabolites. Lactic acid may be a potential biomarker for HT prediction and treatment.

9.
J Proteome Res ; 20(5): 2477-2486, 2021 05 07.
Artigo em Inglês | MEDLINE | ID: mdl-33797260

RESUMO

Depression is one of the most complex multifactorial diseases affected by genetic and environmental factors. The molecular mechanism underlying depression remains largely unclear. To address this issue, a novel nervous-endocrine-immune (NEI) network module was used to find the metabolites and evaluate the diagnostic ability of patients with depression. During this process, metabolites were acquired from a professional depression metabolism database. Over-representation analysis was performed using IMPaLA. Then, the metabolite-metabolite interaction (MMI) network of the NEI system was used to select key metabolites. Finally, the receiver operating characteristic curve analysis was evaluated for the diagnostic ability of arachidonic acid. The results show that the numbers of the nervous system, endocrine system, and immune system pathways are 10, 19, and 12 and the numbers of metabolites are 38, 52, and 13, respectively. The selected shared metabolite-enriched pathways can be 97.56% of the NEI-related pathways. Arachidonic acid was extracted from the NEI system network by using an optimization formula and validated by in vivo experiments. It was indicated that the proposed model was good at screening arachidonic acid for the diagnosis of depression. This method provides reliable evidences and references for the diagnosis and mechanism research of other related diseases.


Assuntos
Depressão , Medicamentos de Ervas Chinesas , Ácido Araquidônico , Biomarcadores , Depressão/diagnóstico , Sistema Endócrino , Humanos
10.
J Ethnopharmacol ; 274: 114043, 2021 Jun 28.
Artigo em Inglês | MEDLINE | ID: mdl-33753143

RESUMO

ETHNOPHARMACOLOGICAL RELEVANCE: Compound Kushen Injection (CKI) is a widely used TCM formula for treatment of carcinomatous pain and tumors of digestive system including hepatocellular carcinoma (HCC). However, the potential mechanisms of CKI for treatment of HCC have not been systematically and deeply studied. AIM OF STUDY: A metabolic data-driven systems pharmacology approach was utilized to investigate the potential mechanisms of CKI for treatment of HCC. MATERIALS AND METHODS: Based on phenotypic data generated by metabolomics and genotypic data of drug targets, a propagation model based on Dijkstra program was proposed to decode the effective network of key genotype-phenotype of CKI in treating HCC. The pivotal pathway was predicted by target propagation mode of our proposed model, and was validated in SMMC-7721 cells and diethylnitrosamine-induced rats. RESULTS: Metabolomics results indicated that 12 differential metabolites, and 5 metabolic pathways might be involved in the anti-HCC effect of CKI. A total of 86 metabolic related genes that affected by CKI were obtained. The results calculated by propagation model showed that 6475 shortest distance chains might be involved in the anti-HCC effect of CKI. According to the results of propagation mode, EGFR was identified as the core target of CKI for the anti-HCC effect. Finally, EGFR and its related pathway EGFR-STAT3 signaling pathway were validated in vivo and in vitro. CONCLUSION: The proposed method provides a methodological reference for explaining the underlying mechanism of TCM in treating HCC.

11.
J Ethnopharmacol ; 264: 113281, 2021 Jan 10.
Artigo em Inglês | MEDLINE | ID: mdl-32810624

RESUMO

ETHNOPHARMACOLOGICAL RELEVANCE: The compatibility of Bupleurum chinense DC (Chaihu)-Paeonia lactiflora Pall (Baishao) is one of the most accepted herb pairs in traditional Chinese medicine (TCM) prescriptions for treating depression. However, the combination mechanisms of this herb pair for anti-depression remain unclear. MATERIALS AND METHODS: In this study, the combined effect of Chaihu-Baishao was evaluated by the chronic unpredictable mild stress (CUMS) rat model. Secondly, network pharmacology was constructed to dissect the united mechanisms. Based on the results of network pharmacology analysis, plasma metabolomics based on ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) was performed to discover the collaborative effect on metabolite regulation. Furthermore, the targets from network pharmacology and the metabolites from metabolomics were jointly analyzed to select crucial metabolism pathways by MetaScape. Finally, the key metabolic enzymes and metabolites were experimentally validated by ELISA. RESULTS: The antidepressant effect of Chaihu-Baishao herb pair was significantly better than Chaihu or Baishao in sucrose preference test (SPT), open-field test (OFT), and forced swim test (FST). In network pharmacology, herb pair played synergetic effect through regulating shared pathways, such as MAPK signaling pathway and arachidonic acid metabolism, etc. Besides, by metabolomics, the herb pair improved more metabolites (14) than a single herb (10 & 9) and has a stronger regulation effect on metabolites. Correspondingly, herb pair adjusted more metabolism pathways (5) than individual herb (4 & 4). Furthermore, the arachidonic acid metabolism was selected as crucial metabolism pathways by a joint analysis of 199 targets and 14 metabolites. The results showed that herb pair regulated arachidonic acid metabolism by synergetic reducing the level of arachidonic acid, and inhibiting the enzyme activity of prostaglandin-endoperoxide synthase 1 (PTGS1) and prostaglandin-endoperoxide synthase 2 (PTGS2). CONCLUSIONS: This work provided an integrated strategy for revealing the combination mechanisms of Chaihu-Baishao herb pair for treating depression, and also a rational way for clarifying the composition rules of TCM.


Assuntos
Antidepressivos/uso terapêutico , Bupleurum , Depressão/tratamento farmacológico , Medicamentos de Ervas Chinesas/uso terapêutico , Metabolômica/métodos , Paeonia , Animais , Antidepressivos/isolamento & purificação , Depressão/metabolismo , Depressão/psicologia , Quimioterapia Combinada , Medicamentos de Ervas Chinesas/isolamento & purificação , Masculino , Ratos , Ratos Sprague-Dawley
12.
Biol Pharm Bull ; 43(12): 1839-1846, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33268701

RESUMO

Polygala tenuifolia Willd. is a traditional Chinese herbal medicine that is widely used in treating nervous system disorders. Triterpene saponins in P. tenuifolia (polygala saponins) have excellent biological activity. As a precursor for the synthesis of presenegin, oleanolic acid (OA) plays an important role in the biosynthesis of polygala saponins. However, the mechanism behind the biosynthesis of polygala saponins remains to be elucidated. In this study, we found that CYP716A249 (GenBank: ASB17946) oxidized the C-28 position of ß-amyrin to produce OA. Using quantitative real-time PCR, we observed that CYP716A249 had the highest expression in the roots of 2-year-old P. tenuifolia, which provided a basis for the selection of samples for gene cloning. To identify the function of CYP716A249, the strain R-BE-20 was constructed by expressing ß-amyrin synthase in yeast. Then, CYP716A249 was co-expressed with ß-amyrin synthase to construct the strain R-BPE-20 by using the lithium acetate method. Finally, we detected ß-amyrin and OA by ultra-HPLC-Q Exactive hybrid quadrupole-Orbitrap high-resolution accurate mass spectrometry and GC-MS. The results of this study provide insights into the biosynthesis pathway of polygala saponins.

13.
Curr Pharm Des ; 2020 Nov 12.
Artigo em Inglês | MEDLINE | ID: mdl-33183189

RESUMO

Cardiovascular disease is a major disease affecting human health, and its pathogenesis is caused by many factors. Through the use of 'omics' technology, precision medicine is playing an increasingly important role in the prevention and treatment of cardiovascular diseases. Dialectical treatment with traditional Chinese medicine (TCM)will result in personalized treatment, which is consistent with precision medicine to a certain extent. However, due to the multitarget, multipath, and multistep characteristics of TCM, its mechanism of action is not easy to elucidate. Network pharmacology can be used to predict the mechanism, toxicity and metabolic characteristics of TCM. This review summarizes commonly used bioinformatics resources for cardiovascular diseases and TCM, as well as the opportunities and challenges of TCM in cardiovascular precision medicine, with special emphasis on network pharmacology methods.

14.
Front Pharmacol ; 11: 512877, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33117150

RESUMO

Complex disease is a cascade process which is associated with functional abnormalities in multiple proteins and protein-protein interaction (PPI) networks. One drug one target has not been able to perfectly intervene complex diseases. Increasing evidences show that Chinese herb formula usually treats complex diseases in the form of multi-components and multi-targets. The key step to elucidate the underlying mechanism of formula in traditional Chinese medicine (TCM) is to optimize and capture the important components in the formula. At present, there are several formula optimization models based on network pharmacology has been proposed. Most of these models focus on the 2D/3D similarity of chemical structure of drug components and ignore the functional optimization space based on relationship between pathogenetic genes and drug targets. How to select the key group of effective components (KGEC) from the formula of TCM based on the optimal space which link pathogenic genes and drug targets is a bottleneck problem in network pharmacology. To address this issue, we designed a novel network pharmacological model, which takes Lang Chuang Wan (LCW) treatment of systemic lupus erythematosus (SLE) as the case. We used the weighted gene regulatory network and active components targets network to construct disease-targets-components network, after filtering through the network attribute degree, the optimization space and effective proteins were obtained. And then the KGEC was selected by using contribution index (CI) model based on knapsack algorithm. The results show that the enriched pathways of effective proteins we selected can cover 96% of the pathogenetic genes enriched pathways. After reverse analysis of effective proteins and optimization with CI index model, KGEC with 82 components were obtained, and 105 enriched pathways of KGEC targets were consistent with enriched pathways of pathogenic genes (80.15%). Finally, the key components in KGEC of LCW were evaluated by in vitro experiments. These results indicate that the proposed model with good accuracy in screening the KGEC in the formula of TCM, which provides reference for the optimization and mechanism analysis of the formula in TCM.

15.
Food Funct ; 11(9): 8202-8213, 2020 Sep 23.
Artigo em Inglês | MEDLINE | ID: mdl-32966485

RESUMO

Caffeic acid is a phenolic compound widely synthesized by plants, which has shown health benefits for multiple aging-related diseases. The aim of this study was to investigate the life-extending effect of caffeic acid and its underlying mechanisms. The effects of caffeic acid on lifespan, climbing behavior, starvation resistance, and heat sensitivity of Drosophila melanogaster (D. melanogaster) were evaluated. 1H-NMR-based metabolomics and biochemical detection were performed to explore the potential mechanisms. The results demonstrated that supplementation with caffeic acid extended the lifespan, and improved climbing behavior and stress resistance in D. melanogaster. Additionally, continuous supplementation with caffeic acid caused the metabolic profile of 30-day D. melanogaster closer to that of 3-day D. melanogaster, among which 17 differential metabolites were significantly regulated by caffeic acid, involved in amino acid metabolism and mitochondrial metabolism. Furthermore, caffeic acid significantly prevented oxidative damage and improved mitochondrial function. Correlation analysis indicated that the differential metabolites regulated by caffeic acid were correlated with its antioxidant effect and mitochondrial improvement function. In conclusion, our data support that caffeic acid could extend lifespan in D. melanogaster through regulation of metabolic abnormality and improvement of mitochondrial function.

16.
Zhongguo Zhong Yao Za Zhi ; 45(16): 3776-3783, 2020 Aug.
Artigo em Chinês | MEDLINE | ID: mdl-32893570

RESUMO

Depression is a common affective disorder. The application of antidepressants can significantly alleviate the symptoms of depression, which is the most important way to treat depression in clinical practice. Due to the complex etiology, wide variety, as well as diversity and severity of serious concomitant symptoms, rational addition of other drugs into antidepressants can significantly improve the cure rates of depression, reduce adverse reactions, and improve patient compliances. Therefore, the combined applications of differential drugs have been commonly used in clinic. In this paper, more than 600 literatures about depression from 2010 to 2019 were collected based on the key words of antidepressant, depression, combined medication, synergism and increase efficiency. Based on this, by summarizing and classifying the existing combinations of antidepressant drugs, this paper systematically expounds the current combined applications of antidepressant drugs in three categories, i.e. western medicines combined with western medicines, western medicines combined with traditional Chinese medicines, and traditional Chinese medicines combined with traditional Chinese medicines, in the expectation of providing the direction and basis for the selection of rational combinations of antidepressant drugs in clinic.


Assuntos
Antidepressivos , Medicina Tradicional Chinesa , Interações Medicamentosas , Humanos
17.
Front Pharmacol ; 11: 1035, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32754034

RESUMO

Traditional Chinese medicine (TCM) with the characteristics of "multi-component-multi-target-multi-pathway" has obvious advantages in the prevention and treatment of complex diseases, especially in the aspects of "treating the same disease with different treatments". However, there are still some problems such as unclear substance basis and molecular mechanism of the effectiveness of formula. Network pharmacology is a new strategy based on system biology and poly-pharmacology, which could observe the intervention of drugs on disease networks at systematical and comprehensive level, and especially suitable for study of complex TCM systems. Rheumatoid arthritis (RA) is a chronic inflammatory autoimmune disease, causing articular and extra articular dysfunctions among patients, it could lead to irreversible joint damage or disability if left untreated. TCM formulas, Danggui-Sini-decoction (DSD), Guizhi-Fuzi-decoction (GFD), and Huangqi-Guizhi-Wuwu-Decoction (HGWD), et al., have been found successful in controlling RA in clinical applications. Here, a network pharmacology-based approach was established. With this model, key gene network motif with significant (KNMS) of three formulas were predicted, and the molecular mechanism of different formula in the treatment of rheumatoid arthritis (RA) was inferred based on these KNMSs. The results show that the KNMSs predicted by the model kept a high consistency with the corresponding C-T network in coverage of RA pathogenic genes, coverage of functional pathways and cumulative contribution of key nodes, which confirmed the reliability and accuracy of our proposed KNMS prediction strategy. All validated KNMSs of each RA therapy-related formula were employed to decode the mechanisms of different formulas treat the same disease. Finally, the key components in KNMSs of each formula were evaluated by in vitro experiments. Our proposed KNMS prediction and validation strategy provides methodological reference for interpreting the optimization of core components group and inference of molecular mechanism of formula in the treatment of complex diseases in TCM.

18.
Front Psychiatry ; 11: 667, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32760300

RESUMO

Depression is one of the most prevalent and serious mental disorders with a worldwide significant health burden. Metabolic abnormalities and disorders in patients with depression have attracted great research attention. Thirty-six metabolic biomarkers of clinical plasma metabolomics were detected by platform technologies, including gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS) and proton nuclear magnetic resonance (1H-NMR), combined with multivariate data analysis techniques in previous work. The principal objective of this study was to provide valuable information for the pathogenesis of depression by comprehensive analysis of 36 metabolic biomarkers in the plasma of depressed patients. The relationship between biomarkers and enzymes were collected from the HMDB database. Then the metabolic biomarkers-enzymes interactions (MEI) network was performed and analyzed to identify hub metabolic biomarkers and enzymes. In addition, the docking score-weighted multiple pharmacology index (DSWMP) was used to assess the important pathways of hub metabolic biomarkers involved. Finally, validated these pathways by published literature. The results show that stearic acid, phytosphingosine, glycine, glutamine and phospholipids were important metabolic biomarkers. Hydrolase, transferase and acyltransferase involve the largest number of metabolic biomarkers. Nine metabolite targets (TP53, IL1B, TNF, PTEN, HLA-DRB1, MTOR, HRAS, INS and PIK3CA) of potential drug proteins for treating depression are widely involved in the nervous system, immune system and endocrine system. Seven important pathways, such as PI3K-Akt signaling pathway and mTOR signaling pathway, are closely related to the pathology mechanisms of depression. The application of important biomarkers and pathways in clinical practice may help to improve the diagnosis of depression and the evaluation of antidepressant effect, which provides important clues for the study of metabolic characteristics of depression.

19.
Phytomedicine ; 77: 153274, 2020 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-32771537

RESUMO

BACKGROUND: Astragali Radix (AR), a common Traditional Chinese Medicine (TCM), is commonly used for treating nephrotic syndrome (NS) in China. At present, the research on the efficacy of AR against NS is relative clearly, but there are fewer researches on the mechanism. PURPOSE: The aim of this study was to evaluate the potential beneficial effects of AR in an adriamycin-induced nephropathy rat model, as well as investigate the possible mechanisms of action and potential lipid biomarkers. METHODS: In this work, a rat model of NS was established by two injections of ADR (3.5 + 1 mg/kg) into the tail vein. The potential metabolites and targets involved in the anti-NS effects of AR were predicted by lipidomics coupled with the network pharmacology approach, and the crucial metabolite and protein were further validated by western blotting and ELISA. RESULTS: The results showed that 22 metabolites such as l-carnitine, LysoPC (20:3), and SM (d18:1/16:0) were associated with renal injury. Moreover, SMPD1, CPT1A and LCAT were predicted as lipids linked targets of AR against NS, whilst glycerophospholipid, sphingolipid and fatty acids metabolism were involved as key pathways of AR against NS. Besides, AR could play a critical role in NS by improving oxidative stress, inhibiting apoptosis and reducing inflammation. Interestingly, our results indicated that key metabolite l-carnitine and target CPT1 were one of the important metabolites and targets for AR to exert anti-NS effects. CONCLUSION: In summary, this study offered a new understanding of the protection mechanism of AR against NS by network pharmacology and lipidomic method.


Assuntos
Medicamentos de Ervas Chinesas/farmacologia , Síndrome Nefrótica/tratamento farmacológico , Animais , Carnitina/metabolismo , Modelos Animais de Doenças , Doxorrubicina/toxicidade , Ácidos Graxos/metabolismo , Rim/efeitos dos fármacos , Rim/metabolismo , Rim/patologia , Lipidômica , Lisofosfatidilcolinas/metabolismo , Masculino , Síndrome Nefrótica/induzido quimicamente , Síndrome Nefrótica/metabolismo , Ratos Sprague-Dawley
20.
Zhongguo Zhong Yao Za Zhi ; 45(12): 2872-2880, 2020 Jun.
Artigo em Chinês | MEDLINE | ID: mdl-32627462

RESUMO

UPLC-Q-Orbitrap MS/MS and ICP-MS coupled with multivariate statistical analysis was employed to explore the differences in chemical compositions of Guilingji(GLJ) before and after alchemy.The changes in organic chemical compositions and inorganic elements were observed and 39 differential organic compositions were found in GLJ after alchemy, 24 compounds of which were identified. The differential compositions of GLJ included violet ketones, chalcones, amides, and fatty acids whose contents were increased after alchemy, as well as flavones, isoflavones, dihydroflavones, flavonoid glycosides, and coumarins whose content were decreased after alchemy. This study showed 6 inorganic elements filtered out as markers for distinguishing GLJ before and after alchemy, including B, Si, Mg, K, Cr, and Ni.The contents of Mg, K, Cr and Ni were increased while the contents of B and Si were decreased after alchemy.The difference of the contents after alchemy changed the cold and hot properties of the compound, showing the decrease of dryness, and the hot property was changed to warm and neutral properties; in addition, the membrane permeability and absorption of the compound compositions were improved. In this study, we preliminarily investigated the changes of chemical compositions in GLJ before and after alchemy as well as the effects of alchemy on physical and chemical properties and cold-heat nature of GLJ, laying a foundation for further clarifying the scientific connotation of alchemy process.


Assuntos
Alquimia , Medicamentos de Ervas Chinesas , Cromatografia Líquida de Alta Pressão , Glicosídeos , Análise Multivariada , Espectrometria de Massas em Tandem
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