scholarly journals Plasma Metabolomics Analysis Based on GC-MS in Infertile Males with Kidney-Yang Deficiency Syndrome

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Piao Zheng ◽  
Yun Wang ◽  
Hongmei Lu ◽  
Xinyi Zhou ◽  
Tao Tang ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Male Infertility ◽  
Metabolic Pathways ◽  
Characteristic Curve ◽  
Deficiency Syndrome ◽  
Gas Chromatography Mass Spectrometry ◽  
Healthy Controls ◽  
Chinese Medicine Syndrome ◽  
Kidney Yang Deficiency ◽  
Potential Biomarkers

Introduction. Chinese medicine syndrome diagnosis is the key requisite in the treatment of male infertility with traditional Chinese medicine (TCM). Kidney-Yang deficiency syndrome (KYDS) is the critical Chinese medicine syndrome of male infertility. To explore the modernized mechanisms of KYDS in male infertility, this study aims to investigate the metabolomics of males with KYDS. Methods. The gas chromatography-mass spectrometry method was applied to analyze the plasma samples of 67 infertile males with KYDS compared with 55 age-matched healthy controls. The chemometric methods including principal component and partial least squares-discriminate analyses were employed to identify the potential biochemical patterns. With the help of the variable importance for the projection and receiver operating characteristic curve analyses, the potential biomarkers were extracted to define the clinical utility. Simultaneously the high-quality KEGG metabolic pathways database was used to identify the related metabolic pathways. Results. The metabolomics profiles of infertile males with KYDS including 10 potential biomarkers and six metabolic pathways were identified. They precisely distinguished infertile males with KYDS from healthy controls. Conclusions. These potential biomarkers and pathways suggest the substantial basis of infertile males with KYDS. The metabolomics profiles highlight the modernized mechanisms of infertile males with KYDS.

scholarly journals Metabolomics Analysis of Seminal Plasma in Infertile Males with Kidney-Yang Deficiency: A Preliminary Study

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Xiang Chen ◽  
Chao Hu ◽  
Jican Dai ◽  
Lei Chen
Keyword(s):  
Male Infertility ◽  
Seminal Plasma ◽  
Metabolic Pathways ◽  
Tricarboxylic Acid Cycle ◽  
Principal Component ◽  
Metabolite Identification ◽  
Deficiency Syndrome ◽  
Sphingolipid Metabolism ◽  
Kidney Yang Deficiency ◽  
Metabolomics Analysis

Traditional Chinese medicine (TCM) is an important treatment for male infertility, and its application to therapy is dependent on differentiation of TCM syndromes. This study aims to investigate the changes in metabolites and metabolic pathways in infertile males with Kidney-Yang Deficiency syndrome (KYDS) via metabolomics approaches. Seminal plasma samples were collected from 18 infertile males with KYDS and 18 fertile males. Liquid chromatography and mass spectrometry were used to characterize metabolomics profiles. Principal component analysis (PCA), partial least squares-discriminate analysis (PLS-DA), and pathway analysis were used for pattern recognition and metabolite identification. PCA and PLS-DA results differentiated the two groups of patients. Forty-one discriminating metabolites (18 in positive mode and 23 in negative mode) were identified. Seven metabolites were related to five potential metabolic pathways associated with biosynthesis and metabolism of aromatic amino acids, tricarboxylic acid cycle, and sphingolipid metabolism. The changes in metabolic pathways may play an important role in the origin of KYDS-associated male infertility. Metabolomics analysis of seminal plasma may be used to differentiate TCM syndromes of infertile males, but further research must be conducted.

scholarly journals Metabonomics Study of Essential Hypertension and Its Chinese Medicine Subtypes by Using Gas Chromatography-Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yunlun Li ◽  
Lei Nie ◽  
Haiqiang Jiang ◽  
Jiamao Lin ◽  
Honglei Zhou ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Essential Hypertension ◽  
Chinese Medicine ◽  
Deficiency Syndrome ◽  
Gas Chromatography Mass Spectrometry ◽  
Resonance Spectroscopy ◽  
Hypertensive Patients ◽  
Yin Deficiency ◽  
Abnormal Glucose Metabolism

A metabonomic study was performed to investigate the metabolic mechanism of essential hypertension and its Chinese medicine subtypes, including “Yin-deficiency and Yang-hyperactivity syndrome” (YDYHS) and “Yin-Yang deficiency syndrome” (YYDS). Plasma samples from 22 healthy volunteers, 31 hypertensive patients with YDYHS, and 29 hypertensive patients with YYDS were analyzed by1H-NMR spectroscopy and gas chromatography coupled with mass spectrometry (GC-MS). The three groups were distinctly classified by principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA). According to identified biomarkers and their related pathways, abnormal glucose metabolism might be the main common pathway from YDYHS to YYDS, and sympathetic nervous system activation would play an important role in the pathogenesis of YDYHS, while a low metabolic rate usually occurred in YYDS.

scholarly journals Integrated Systems Pharmacology, Urinary Metabonomics, and Quantitative Real-Time PCR Analysis to Uncover Targets and Metabolic Pathways of the You-Gui Pill in Treating Kidney-Yang Deficiency Syndrome

2019 ◽  
Vol 20 (15) ◽  
pp. 3655 ◽  
Author(s):  
Ruiqun Chen ◽  
Jia Wang ◽  
Runhua Zhan ◽  
Lei Zhang ◽  
Xiufeng Wang
Keyword(s):  
Glutamine Synthetase ◽  
Metabolic Pathways ◽  
Acid Metabolism ◽  
Deficiency Syndrome ◽  
Pcr Analysis ◽  
Systems Pharmacology ◽  
Quantitative Real Time Pcr ◽  
Target Proteins ◽  
Kidney Yang Deficiency ◽  
Hydroxyacyl Coa Dehydrogenase

Kidney-yang deficiency syndrome (KYDS) is a metabolic disease caused by a neuro-endocrine disorder. The You-gui pill (YGP) is a classic traditional Chinese medicine (TCM) formula for the treatment of KYDS and has been widely used to warm and recuperate KYDS clinically for hundreds of years in China. However, it is unknown whetherthe corresponding targets and metabolic pathways can also be found via using metabonomics based on one platform (e.g., 1H NMR) to study different biological samples of KYDS. At the same time, relevant reports on further molecular verification (e.g., RT-qPCR analysis) of these targets associated with biomarkers and metabolic pathways have not yet, to our knowledge, been seen in KYDS’s research. In the present study, a comprehensive strategy integrating systems pharmacology and 1H NMR-based urinary metabonomics analysis was proposed to identify the target proteins and metabolic pathways that YGP acts on KYDS. Thereafter, further validation of target proteins in kidney tissue was performed through quantitative real-time PCR analysis (RT-qPCR). Furthermore, biochemical parameters and histopathological analysis were studied. As a result, seven target proteins (L-serine dehydratase; phosphoenolpyruvate carboxykinase; spermidine synthase; tyrosyl-tRNA synthetase, glutamine synthetase; 3-hydroxyacyl-CoA dehydrogenase; glycine amidinotransferase) in YGP were discovered to play a therapeutic role in KYDS via affecting eight metabolic pathways (glycine, serine and threonine metabolism; butanoate metabolism; TCA cycle, etc.). Importantly, three target proteins (i.e., 3-hydroxyacyl-CoA dehydrogenase; glutamine synthetase; and glycine amidinotransferase) and two metabolic pathways (butanoate metabolism and dicarboxylate metabolism) related to KYDS, to our knowledge, had been newly discovered in our study. The mechanism of action mainly involved energy metabolism, oxidative stress, ammonia metabolism, amino acid metabolism, and fatty acid metabolism. In short, our study demonstrated that targets and metabolic pathways for the treatment of KYDS by YGP can be effectively found via combining with systems pharmacology and urinary metabonomics. In addition to this, common and specific targets and metabolic pathways of KYDS treated by YGP can be found effectively by integration with the analysis of different biological samples (e.g., serum, urine, feces, and tissue). It is; therefore, important that this laid the foundation for deeper mechanism research and drug-targeted therapy of KYDS in future.

scholarly journals Serum Metabolic Profiling Analysis of Gout Patients Treated with Traditional Chinese Medicine Tongfengtai Granules Based on Gas Chromatography-Mass Spectrometry

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jianyong Zhang ◽  
Hong Pan ◽  
Jingjing Xie ◽  
Jing Wang ◽  
Ruyi Wang ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gas Chromatography ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Metabolic Profiling ◽  
Metabolic Pathways ◽  
Gas Chromatography Mass Spectrometry ◽  
Chromatography Mass Spectrometry ◽  
Before And After ◽  
Metabolic Biomarkers

Gout has become a public health problem that seriously threatens human health. Traditional Chinese medicines (TCMs) have a long history of treating gout and have some advantages compared with the conventional medicines. Compound TCM Tongfengtai granules are gradually being used for clinical treatment of gout, but its mechanism is still unclear. The purpose of this study was to explore the metabolic profiling of serum from gout patients before and after treatment with Tongfengtai granules and identify the differential metabolites and related metabolic pathways. A total of 40 gout patients hospitalized in Shenzhen Traditional Chinese Medicine Hospital from 2018 to March 2019 were recruited in the current study, and serum samples from these patients before and after treatment with Tongfengtai granules were collected. Gas chromatography-mass spectrometry (GC-MS) assay was used to identify serum metabolites. The OPLS-DA VIP method was used to screen for potential metabolic biomarkers, and MetaboAnalyst 4.0 was used to identify related metabolic pathways. The result showed that there was a significant difference in the concentrations of six metabolites in the serum after treatment: D-galactose, lactic acid, 3-hydroxybutyric acid, D-pyran (type) glucose, alanine, and L-isoleucine. Except D-pyran (type) glucose, the serum concentrations of the other five metabolites were all significantly reduced. Besides, pathway enrichment analysis found that these potential metabolic biomarkers were mainly involved in lactose degradation and the glucose-alanine cycle. Thus, the serum metabolic profiling of gout patients treated with Tongfengtai granules changed, and the differential metabolites and related metabolic pathways might provide clues for understanding the mechanism of Tongfengtai granules.

scholarly journals 1H NMR studies on serum metabonomic changes over time in a kidney-Yang deficiency syndrome model

RSC Advances ◽  
2017 ◽  
Vol 7 (54) ◽  
pp. 34251-34261 ◽  
Author(s):  
Ruiqun Chen ◽  
Jia Wang ◽  
Chengbin Liao ◽  
Na Ma ◽  
Lei Zhang ◽  
...  
Keyword(s):  
1H Nmr ◽  
Metabolic Pathways ◽  
Deficiency Syndrome ◽  
Nmr Studies ◽  
Kidney Yang Deficiency ◽  
Changes Over Time ◽  
Over Time

The central aim of this study was to investigate metabolite changes in metabolic pathwaysviametabonomic approaches in rats suffering from Kidney-Yang Deficiency Syndrome (KYDS) induced by hydrocortisone.

scholarly journals Understanding Radix Angelica sinensis Blood Replenishing mechanisms on Blood Deficiency Rats Based on a UPLC-Q/TOF-MS Metabolomics and Network Pharmacology

2021 ◽  
Vol 15 (4) ◽  
pp. 267-280
Author(s):  
Xiujuan Y ang ◽  
Yi Deng ◽  
Zhijun Y ang ◽  
Shuo Li ◽  
Yunxiang Hai ◽  
...  
Keyword(s):  
Linoleic Acid ◽  
Chinese Medicine ◽  
Hemolytic Anemia ◽  
Metabolic Pathways ◽  
Acid Metabolism ◽  
Deficiency Syndrome ◽  
Network Pharmacology ◽  
Angelica Sinensis ◽  
Proline Metabolism ◽  
Linoleic Acid Metabolism

Radix Angelica sinensis (RAS) is a famous Chinese medicine with hematinic effects and has been applied for the treatment of blood deficiency syndrome for many years. Previous studies have indicated that RAS has beneficial effects in the treatment of hemolytic anemia. The hemolytic anemia/blood deficiency syndrome is a common syndrome that is often presented in most traditional Chinese medicine (TCM) clinics. Based on routine blood indicators, metabolomics analysis was conducted to investigate the mechanism of RAS in the treatment of hemolytic anemia. Multivariate and univariate statistical analysis were used to identify potential biomarkers in the serum. On administering RAS to the haemololitic anaemic rat, the levels of WBC, RBC, HGB, and PLT in AG tended to shift toward that of the control group. Additionally, all the 26 metabolites such as cholic acid, succinic acid and orotate which are regulated by blood deficiency appeared normal through the five metabolic pathways, such as linoleic acid metabolism, alanine, aspartic acid and glutamate metabolism, pyrimidine metabolism, arginine and proline metabolism. Thus, three metabolic pathways predicted by the network pharmacology were consistent with the metabolism pathway of Angelica sinensis: linoleic acid metabolism, arginine and proline metabolism, tryptophan metabolism. The integrated metabolomics and network pharmacology comprehensively improved the understanding of the physiological and metabolic state of an organism. The possible hematopoietic effects and underlying mechanism of action on hemolytic anemia rats after lavage with RAS water extracts, could potentially be elucidated by combining pharmacology with untargeted metabolomics. These pointed out the significance of metabolomics as a valuable tool for studying the essence of Chinese medicine’s syndrome theory and the mechanism of RAS under anti-blood deficiency syndrome.

scholarly journals Screening of Potential Biomarkers for Gastric Cancer with Diagnostic Value Using Label-free Global Proteome Analysis

2020 ◽  
Author(s):  
Yongxi Song ◽  
Jun Wang ◽  
Jingxu Sun ◽  
Xiaowan Chen ◽  
Jinxin Shi ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Large Scale ◽  
Malignant Tumors ◽  
Characteristic Curve ◽  
Diagnostic Value ◽  
Healthy Controls ◽  
Label Free ◽  
Diagnostic Power ◽  
Hub Proteins ◽  
Potential Biomarkers

AbstractGastric cancer (GC) is one of the most malignant tumors worldwide. Despite the recent decrease in mortality rates, the prognosis remains poor. Therefore, it is necessary to find novel biomarkers with early diagnostic value for GC. In this study, we present a large-scale proteomic analysis of 30 GC tissues and 30 matched healthy tissues using label-free global proteome profiling. Our results identified 537 differentially expressed proteins, including 280 upregulated and 257 downregulated proteins. The ingenuity pathway analysis (IPA) results indicated that the sirtuin signaling pathway was the most activated pathway in GC tissues whereas oxidative phosphorylation was the most inhibited. Moreover, the most activated molecular function was cellular movement, including tissue invasion by tumor cell lines. Based on IPA results, 15 hub proteins were screened. Using the receiver operating characteristic curve, most of hub proteins showed a high diagnostic power in distinguishing between tumors and healthy controls. A four-protein (ATP5B-ATP5O-NDUFB4-NDUFB8) diagnostic signature was built using a random forest model. The area under the curve (AUC) of this model was 0.996 and 0.886 for the training and testing set, respectively, suggesting that the four-protein signature has a high diagnostic power. This signature was further tested with independent datasets using plasma enzyme-linked immune sorbent assays, resulted in an AUC of 0.778 for distinguishing GC tissues from healthy controls, and using immunohistochemical tissue microarray analysis, resulting in an AUC of 0.805. In conclusion, this study identifies potential biomarkers and improves our understanding of the pathogenesis, providing novel therapeutic targets for GC.

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