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Du S, Chen Y, Liu X, Zhang Z, Jiang Y, Zhou Y, Zhang H, Li Q, XuemeiWang, Wang Y, Feng R. Two untargeted metabolomics reveals yogurt-associated metabolic alterations in women with multiple metabolic disorders from a randomized controlled study. J Proteomics 2022; 252:104394. [PMID: 34666202 DOI: 10.1016/j.jprot.2021.104394] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Revised: 08/04/2021] [Accepted: 09/27/2021] [Indexed: 10/20/2022]
Abstract
The beneficial role of yogurt on metabolic profile has been widely reported. Yet, few studies have intended to describe the integrated metabolic alterations in response to yogurt. Yogurt and milk (220 g/d) were given to 48 and 44 obese women with metabolic syndrome and nonalcoholic fatty liver disease for 24 weeks in a randomized controlled trial (registered at http://www.chictr.org.cn as ChiCTR-IPR-15006801). Fasting serum samples were collected before and after intervention for global, untargeted metabolomics based on 1H nuclear magnetic resonance (NMR) and ultra-high-performance liquid chromatography coupled with electrospray ionization time-of-flight mass spectrometry (UPLC-Q-TOF-MS) (in positive and negative ion modes). Multivariable statistical analysis and pathway analysis were conducted. In both 1H NMR and UPLC-Q-TOF-MS metabolomics, no clustering was observed between the two groups at baseline. While, a clear clustering was shown after intervention, and the yogurt group had significantly different metabolic status from the milk. The metabolites that contributed mostly to class separation were identified, and involved into pathway analysis. Pathways on amino acids metabolism, fatty acid oxidation, cholesterol catabolism and choline metabolism significantly changed after yogurt intervention. The study revealed the integrated metabolic alterations in response to yogurt via two metabolomics approaches, suggesting the potential mechanisms of yogurt against metabolic disorders. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR-IPR-15006801. Registered 20 July 2015, http://www.chictr.org.cn/ ChiCTR-IPR-15006801. SIGNIFICANCE: Both review from prospective studies and our randomized clinical trial showed the protective role of yogurt against multiple metabolic disorders. However, they were focus on targeted glucose, lipid, and other metabolic indicators, which were only part of human metabolism, failing to show an integrated metabolic feature on yogurt. Therefore, two global, untargeted metabolomics were applied in our current randomized clinical trial, trying to uncover the significant metabolic alterations characterizing the effects of yogurt on obese women with multiple metabolic disorders, and to explore the potential biological mechanisms of yogurt. The finding will shed light on a more comprehensive picture of how yogurt affects host metabolism, and provide theoretical foundation for dietary prevention of chronic diseases.
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Affiliation(s)
- Shanshan Du
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 150081 Harbin, China; Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, 350122 Fuzhou, China
| | - Yang Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 150081 Harbin, China
| | - Xiaoxue Liu
- Songhuajiang Community Health Service Center, Prevention and Health Care Department, the Fourth Hospital of Harbin Medical University, 150080 Harbin, China
| | - Zhihong Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Hainan Medical University, 570102 Haikou, China
| | - Yongshuai Jiang
- College of Bioinformatics Science and Technology, Harbin Medical University, 150081 Harbin, China; Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, 150081 Harbin, China
| | - Yang Zhou
- Imaging Center, Harbin Medical University Cancer Hospital, 150081 Harbin, China.
| | - Hongxia Zhang
- Imaging Center, Harbin Medical University Cancer Hospital, 150081 Harbin, China
| | - Qiyang Li
- Imaging Center, Harbin Medical University Cancer Hospital, 150081 Harbin, China
| | - XuemeiWang
- Shenzhen Bao'an District Central Hospital, Huangtian Community Health Service Center, 518126 Shenzhen, China
| | - Yan Wang
- Department of Nutrition, Taikang Ningbo Hospital, 315101 Ningbo, China
| | - Rennan Feng
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, 150081 Harbin, China; Training Center for Students Innovation and Entrepreneurship Education, Harbin Medical University, 150081 Harbin, China.
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Kong Q, Gu J, Lu R, Huang C, Hu X, Wu W, Lin D. NMR-Based Metabolomic Analysis of Sera in Mouse Models of CVB3-Induced Viral Myocarditis and Dilated Cardiomyopathy. Biomolecules 2022; 12:biom12010112. [PMID: 35053260 PMCID: PMC8773787 DOI: 10.3390/biom12010112] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 12/29/2021] [Accepted: 01/06/2022] [Indexed: 02/04/2023] Open
Abstract
Viral myocarditis (VMC) is an inflammatory heart condition which can induce dilated cardiomyopathy (DCM). However, molecular mechanisms underlying the progression of VMC into DCM remain exclusive. Here, we established mouse models of VMC and DCM by infecting male BALB/c mice with Coxsackievirus B3 (CVB3), and performed NMR-based metabonomic analyses of mouse sera. The mouse models covered three pathological stages including: acute VMC (aVMC), chronic VMC (cVMC) and DCM. We recorded 1D 1H-NMR spectra on serum samples and conducted multivariate statistical analysis on the NMR data. We found that metabolic profiles of these three pathological stages were distinct from their normal controls (CON), and identified significant metabolites primarily responsible for the metabolic distinctions. We identified significantly disturbed metabolic pathways in the aVMC, cVMC and DCM stages relative to CON, including: taurine and hypotaurine metabolism; pyruvate metabolism; glycine, serine and threonine metabolism; glycerolipid metabolism. Additionally, we identified potential biomarkers for discriminating a VMC, cVMC and DCM from CON including: taurine, valine and acetate for aVMC; glycerol, valine and leucine for cVMC; citrate, glycine and isoleucine for DCM. This work lays the basis for mechanistically understanding the progression from acute VMC to DCM, and is beneficial to exploitation of potential biomarkers for prognosis and diagnosis of heart diseases.
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Affiliation(s)
- Qing Kong
- Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China;
| | - Jinping Gu
- Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China; (J.G.); (R.L.); (X.H.)
- Key Laboratory for Green Pharmaceutical Technologies and Related Equipment of Ministry of Education, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310014, China
| | - Ruohan Lu
- Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China; (J.G.); (R.L.); (X.H.)
| | - Caihua Huang
- Research and Communication Center of Exercise and Health, Xiamen University of Technology, Xiamen 361024, China;
| | - Xiaomin Hu
- Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China; (J.G.); (R.L.); (X.H.)
| | - Weifeng Wu
- Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China;
- Correspondence: (W.W.); (D.L.); Tel.: +86-771-5358955 (W.W.); +86-592-2186078 (D.L.)
| | - Donghai Lin
- Key Laboratory for Chemical Biology of Fujian Province, MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China; (J.G.); (R.L.); (X.H.)
- Correspondence: (W.W.); (D.L.); Tel.: +86-771-5358955 (W.W.); +86-592-2186078 (D.L.)
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Abstract
Nuclear magnetic resonance (NMR) spectroscopy offers reproducible quantitative analysis and structural identification of metabolites in various complex biological samples, such as biofluids (plasma, serum, and urine), cells, tissue extracts, and even intact organs. Therefore, NMR-based metabolomics, a mainstream metabolomic platform, has been extensively applied in many research fields, including pharmacology, toxicology, pathophysiology, nutritional intervention, disease diagnosis/prognosis, and microbiology. In particular, NMR-based metabolomics has been successfully used for cancer research to investigate cancer metabolism and identify biomarker and therapeutic targets. This chapter highlights the innovations and challenges of NMR-based metabolomics platform and its applications in cancer research.
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Man S, Liu T, Yao Y, Lu Y, Ma L, Lu F. Friend or foe? The roles of inulin-type fructans. Carbohydr Polym 2021; 252:117155. [DOI: 10.1016/j.carbpol.2020.117155] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 09/11/2020] [Accepted: 09/25/2020] [Indexed: 02/07/2023]
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Chunchai T, Keawtep P, Arinno A, Saiyasit N, Prus D, Apaijai N, Pratchayasakul W, Chattipakorn N, Chattipakorn SC. A combination of an antioxidant with a prebiotic exerts greater efficacy than either as a monotherapy on cognitive improvement in castrated-obese male rats. Metab Brain Dis 2020; 35:1263-1278. [PMID: 32676884 DOI: 10.1007/s11011-020-00603-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 07/09/2020] [Indexed: 12/27/2022]
Abstract
Previous studies by ourselves and others have demonstrated that both obesity and testosterone deprivation have been related to cognitive decline. We have also shown that a prebiotic and n-acetyl cysteine (NAC) improved cognitive dysfunction in obese rats and castrated-male rats. However, the effects of NAC, a prebiotic (inulin), and a combination of the two on cognition in castrated-obese rats has never been investigated. The hypothesis was that NAC and inulin attenuated cognitive decline in castrated-obese rats by improving gut dysbiosis, and decreasing oxidative stress, glial activation and apoptosis. Male Wistar rats (n = 36) were fed with either a normal diet (ND: n = 6) or a high-fat diet (HFD: n = 30) for twenty-eight weeks. The resultant obese rats had a bilateral orchiectomy (ORX) and were randomly divided into five subgroups (n = 6/ subgroup). Each subgroup was treated with one of five therapies: a vehicle; testosterone replacement (2 mg/kg/day); NAC (100 mg/kg); inulin (10%, w/w), or a combination of the NAC and inulin for four weeks. The results demonstrated that castrated-obese rats developed gut dysbiosis, metabolic disturbance, brain pathologies, and cognitive decline. All of the pathological conditions in the brain were ameliorated to an equal extent by testosterone replacement, NAC, and inulin supplementation. Interestingly, a combination of NAC and inulin had the greatest beneficial effect on cognitive function by synergistically reducing hippocampal inflammation and ameliorating glial dysmorphology. These findings suggest that a combination of NAC and inulin may confer the greatest benefits in improving cognitive function in castrated-obese male rats.
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Affiliation(s)
- Titikorn Chunchai
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Puntarik Keawtep
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Apiwan Arinno
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Napatsorn Saiyasit
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Dillon Prus
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nattayaporn Apaijai
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Wasana Pratchayasakul
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Nipon Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
- Cardiac Electrophysiology Unit, Department of Physiology Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand
| | - Siriporn C Chattipakorn
- Neurophysiology Unit, Cardiac Electrophysiology Research and Training Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
- Department of Oral Biology and Diagnostic Sciences, Faculty of Dentistry, Chiang Mai University, Chiang Mai, 50200, Thailand.
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Jiang Y, Cui M, Tian W, Zhu S, Chen J, Suo C, Liu Z, Lu M, Xu K, Fan M, Wang J, Dong Q, Ye W, Jin L, Chen X. Lifestyle, multi-omics features, and preclinical dementia among Chinese: The Taizhou Imaging Study. Alzheimers Dement 2020; 17:18-28. [PMID: 32776666 DOI: 10.1002/alz.12171] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 07/01/2020] [Accepted: 07/11/2020] [Indexed: 12/14/2022]
Abstract
China has the largest number of patients with dementia in the world. However, dementia in the Chinese population is still poorly understood and under-researched. Given the differences in genetic, demographic, sociocultural, lifestyle, and health profiles among Chinese and other ethnic/racial groups, it is crucial to build appropriate infrastructure for long-term longitudinal studies to advance Chinese cognitive aging and dementia research. We initiated a community-based prospective cohort-the Taizhou Imaging Study (TIS)-to accelerate the understanding of dementia and cerebrovascular diseases in Chinese. This article presents the rationale, aims, study design, and organization of TIS. In addition, we described some examples of the types of studies such a resource might support. The TIS provides a new framework for facilitating Chinese dementia research, encompassing invaluable resources including detailed epidemiological, sociocultural, neuroimaging, and omics data.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Sibo Zhu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Jinhua Chen
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Zhenqiu Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Ming Lu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Biostatistics, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Jiucun Wang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Qiang Dong
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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7
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Jiang Y, Zhang K, Zhu Z, Cui M, An Y, Wang Y, Suo C, Fan M, Jin L, Tian W, Chen X. Associations between serum metabolites and subclinical atherosclerosis in a Chinese population: the Taizhou Imaging Study. Aging (Albany NY) 2020; 12:15302-15313. [PMID: 32645693 PMCID: PMC7467377 DOI: 10.18632/aging.103456] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 05/27/2020] [Indexed: 12/22/2022]
Abstract
Metabolomics provides a promising tool for understanding the pathophysiology and identifying biomarkers of atherosclerosis. We aimed to estimate the associations between circulating metabolites and subclinical atherosclerosis in a Chinese cohort. The baseline serum levels of 38 metabolites of 489 individuals were measured using nuclear magnetic resonance. Associations between metabolites and brachial-ankle pulse wave velocity (baPWV) and carotid intima-media thickness (IMT) were determined using a linear regression. A multivariate logistic regression was used to evaluate the associations of metabolites and subclinical atherosclerosis defined as high baPWV (>median) and increased IMT (>median). After adjusting for covariates and multiple testing corrections (false discovery rate; FDR), two branched-chain amino acids (BCAAs; leucine and isoleucine), one ketone (acetoacetate), and two lipids were positively associated with baPWV. Lactate was inversely associated with IMT. Elevated acetoacetate levels (odds ratio: 1.53, 95% confidence interval: 1.20-1.97; FDR <0.001) and four other lipid features were associated with an increased risk of high baPWV. Alterations in circulating lipids and BCAAs were associated with the risk of arterial stiffness in the middle-aged Chinese population. Our findings provide clues to understanding the potential mechanisms of subclinical atherosclerosis; however, further validation in a broader population context and the exploration of potential clinical applications are warranted.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Mei Cui
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanpeng An
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Yingzhe Wang
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Min Fan
- Taixing Disease Control and Prevention Center, Taizhou, Jiangsu, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Weizhong Tian
- Department of Medical Imaging, Taizhou People's Hospital Affiliated to Nantong University, Taizhou, Jiangsu, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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An Y, Liu S, Hao F, Wang Y, Tang H. Development and validation of an improved probabilistic quotient normalization method for LC/MS- and NMR-based metabonomic analysis. CHINESE CHEM LETT 2020. [DOI: 10.1016/j.cclet.2019.12.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Cui M, Jiang Y, Zhao Q, Zhu Z, Liang X, Zhang K, Wu W, Dong Q, An Y, Tang H, Ding D, Chen X. Metabolomics and incident dementia in older Chinese adults: The Shanghai Aging Study. Alzheimers Dement 2020; 16:779-788. [PMID: 32270572 DOI: 10.1002/alz.12074] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 12/27/2019] [Accepted: 01/03/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Metabolomics provide a promising tool to understand the pathogenesis and to identify novel biomarkers of dementia. This study aimed to determine circulating metabolites associated with incident dementia in a Chinese cohort, and whether a selected metabolite panel could predict dementia. METHODS Thirty-eight metabolites in baseline serum were profiled by nuclear magnetic resonance in 1440 dementia-free participants followed 5 years in the Shanghai Aging Study. RESULTS Higher serum levels of glutamine and O-acetyl-glycoproteins were associated with increased risk of dementia, whereas glutamate, tyrosine, acetate, glycine, and phenylalanine were negatively related to incident dementia. A panel of five metabolites selected by least absolute shrinkage and selection operator within cross-validation regression analysis could predict incident dementia with an area under the receiver-operating characteristic curve of 0.72. DISCUSSION We identified seven candidate serum metabolic biomarkers for dementia. These findings and the underlying biological mechanisms need to be further replicated and elucidated in future studies.
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Affiliation(s)
- Mei Cui
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China.,School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Wanqing Wu
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanpeng An
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Huiru Tang
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Ding Ding
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China.,School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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He W, You J, Wan Q, Xiao K, Chen K, Lu Y, Li L, Tang Y, Deng Y, Yao Z, Yue J, Cao G. The anatomy and metabolome of the lymphatic system in the brain in health and disease. Brain Pathol 2019; 30:392-404. [PMID: 31747475 DOI: 10.1111/bpa.12805] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 11/10/2019] [Indexed: 12/18/2022] Open
Abstract
Recent studies have demonstrated that the brain is equipped with a lymphatic drainage system that is actively involved in parenchymal waste clearance, brain homeostasis and immune regulation. However, the exact anatomic drainage routes of brain lymph fluid (BLF) remain elusive, hampering the physiological study and clinical application of this system. In this study, we systematically dissected the anatomy of the BLF pathways in a rat model. Moreover, we developed a protocol to collect BLF from the afferent lymphatic vessels of deep cervical lymph nodes (dcLNs) and cerebrospinal fluid (CSF) from the fourth ventricle. Nuclear magnetic resonance spectroscopy showed that BLF contains more metabolites than CSF, suggesting that BLF might be a more sensitive indicator of brain dynamics under physiological and pathological conditions. Finally, we identified several metabolites as potential diagnostic biomarkers for glioma, Parkinson's disease and CNS infectious diseases. Together, these data may provide insight into the physiology of the lymphatic system in the brain and into the clinical diagnosis of CNS disorders.
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Affiliation(s)
- Wenbo He
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.,College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jing You
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.,Department of Biomedical Engineering, University of North Texas, Denton, TX
| | - Qianfen Wan
- Key Laboratory of Magnetic Resonance in Biological Systems, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Ke Xiao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.,College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Kening Chen
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.,College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yuan Lu
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.,College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Liang Li
- Department of Ophthalmology, Stanford University School of Medicine, Palo Alto, CA
| | - Yajie Tang
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.,College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China
| | - Yunte Deng
- Department of Pathology, Hubei Cancer Hospital, Wuhan, 430079, China
| | - Zhaohui Yao
- Department of Geriatrics, Renmin Hospital of Wuhan University, Jiefang Road, Wuhan, China
| | - Junqiu Yue
- Department of Pathology, Hubei Cancer Hospital, Wuhan, 430079, China
| | - Gang Cao
- State Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, 430070, China.,College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China.,Bio-Medical Center, Huazhong Agricultural University, Wuhan, 430070, China.,Cooperative Innovation Center for Sustainable Pig Production (CICSPP), Huazhong Agricultural University, Wuhan, 430070, China
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Chen F, Ma R, Chen XL. Advances of Metabolomics in Fungal Pathogen-Plant Interactions. Metabolites 2019; 9:metabo9080169. [PMID: 31443304 PMCID: PMC6724083 DOI: 10.3390/metabo9080169] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 08/12/2019] [Accepted: 08/12/2019] [Indexed: 01/02/2023] Open
Abstract
Plant disease caused by fungus is one of the major threats to global food security, and understanding fungus-plant interactions is important for plant disease control. Research devoted to revealing the mechanisms of fungal pathogen-plant interactions has been conducted using genomics, transcriptomics, proteomics, and metabolomics. Metabolomics research based on mass spectrometric techniques is an important part of systems biology. In the past decade, the emerging field of metabolomics in plant pathogenic fungi has received wide attention. It not only provides a qualitative and quantitative approach for determining the pathogenesis of pathogenic fungi but also helps to elucidate the defense mechanisms of their host plants. This review focuses on the methods and progress of metabolomics research in fungal pathogen-plant interactions. In addition, the prospects and challenges of metabolomics research in plant pathogenic fungi and their hosts are addressed.
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Affiliation(s)
- Fangfang Chen
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Ruijing Ma
- State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Collaborative Innovation Center for Green Transformation of Bio-Resources, School of Life Sciences, Hubei University, Wuhan 430062, China
| | - Xiao-Lin Chen
- The Provincial Key Laboratory of Plant Pathology of Hubei Province, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
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12
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Dai B, Huang S, Deng Y. Modified insoluble dietary fibers in okara affect body composition, serum metabolic properties, and fatty acid profiles in mice fed high-fat diets: an NMR investigation. Food Res Int 2019; 116:1239-1246. [PMID: 30716911 DOI: 10.1016/j.foodres.2018.10.011] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Revised: 09/25/2018] [Accepted: 10/02/2018] [Indexed: 11/17/2022]
Abstract
The potential health benefit of dietary fiber has attracted considerable attention in recent decades. In this study, the effects of modified dietary fibers (MDF) derived from okara on body composition, fat distribution, serum metabolomic parameters, and fatty acid profiles in mice fed high-fat diets (HFD) were evaluated by nuclear magnetic resonance (NMR)-based metabolic approach. HFD-induced C57BL mice were fed with a diet containing 100 g/kg MDF for 12 weeks. Compared with control mice, MDF-fed mice exhibited less fat and lower body weights, altered serum metabolomic profiles, and distinct fatty acid profiles. The levels of choline, phosphatidylcholine, glycerophosphorylcholine, glucose, lysine, scyllo-inositol, and glutamate for MDF group were higher than those for both CONT and HFD groups. A remarkable reduction of total cholesterol, total triglycerides, ω-6 fatty acids, alanine, citrate, creatine, or succinate was also observable for MDF group compared with HFD group. These findings demonstrated that the intake of MDF derived from okara clearly ameliorated some of the HFD-induced adverse metabolic effects and prevented adipose tissue accumulation.
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Affiliation(s)
- Bona Dai
- Department of Food Science & Technology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China; Instrumental Analysis Center, Shanghai Jiao Tong University, 800 Dongchuan Road, 200240 Shanghai, China
| | - Suya Huang
- Department of Food Science & Technology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Yun Deng
- Department of Food Science & Technology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China.
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Wang R, Guo S, Tian H, Huang Y, Yang Q, Zhao K, Kuo CH, Hong S, Chen P, Liu T. Hypoxic Training in Obese Mice Improves Metabolic Disorder. Front Endocrinol (Lausanne) 2019; 10:527. [PMID: 31440207 PMCID: PMC6694298 DOI: 10.3389/fendo.2019.00527] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 07/17/2019] [Indexed: 12/29/2022] Open
Abstract
Hypoxic training has been reported to lower obesity morbidity without clear underlying mechanisms. This study investigates the effect of hypoxic training on metabolic changes, particularly, on liver metabolism of high fat diet (HFD)-induced obese mice. We compared the hypoxic training group with normoxic sedentary, normoxic training, and hypoxic sedentary groups. Body weight, fat mass, glucose tolerance and liver physiology were determined after 4 weeks intervention. In both normoxic training and hypoxic training groups, body weight was lower than the normoxic sedentary group, with less fat mass. Insulin sensitivity was improved after hypoxic training. Moreover, liver metabolomics revealed insights into the protective effect of hypoxic training on HFD-induced fatty liver. Taken together, these findings provide a molecular metabolic mechanism for hypoxic training.
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Affiliation(s)
- Ru Wang
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
- *Correspondence: Ru Wang
| | - Shanshan Guo
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Haili Tian
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Yiru Huang
- State Key Laboratory of Genetic Engineering, Department of Endocrinology and Metabolism, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
| | - Qin Yang
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Kewei Zhao
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Chia-Hua Kuo
- Laboratory of Exercise Biochemistry, University of Taipei, Taipei, Taiwan
| | - Shangyu Hong
- State Key Laboratory of Genetic Engineering, Department of Endocrinology and Metabolism, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Peijie Chen
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
- Peijie Chen
| | - Tiemin Liu
- School of Kinesiology, Shanghai University of Sport, Shanghai, China
- State Key Laboratory of Genetic Engineering, Department of Endocrinology and Metabolism, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Pharmaceutical Biotechnology, Nanjing University, Nanjing, China
- Tiemin Liu
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Wang Q, Zeng S, Wu X, Lei H, Wang Y, Tang H. Interspecies Developmental Differences in Metabonomic Phenotypes of Lycium ruthenicum and L. barbarum Fruits. J Proteome Res 2018; 17:3223-3236. [DOI: 10.1021/acs.jproteome.8b00349] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Qi Wang
- State Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai 200438, China
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, Hubei 430071, China
| | - Shaohua Zeng
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong 510650, China
| | - Xiangyu Wu
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, Hubei 430071, China
| | - Hehua Lei
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, Hubei 430071, China
| | - Ying Wang
- Key Laboratory of South China Agricultural Plant Molecular Analysis and Genetic Improvement, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong 510650, China
| | - Huiru Tang
- State Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Human Phenome Institute, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Fudan University, Shanghai 200438, China
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, Hubei 430071, China
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Inulin supplementation reduces the negative effect of a high-fat diet rich in SFA on bone health of growing pigs. Br J Nutr 2018; 119:1111-1118. [PMID: 29759107 DOI: 10.1017/s0007114518000764] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Consumption of a high-fat diet, rich in SFA, causes deterioration of bone properties. Some studies suggest that feeding inulin to animals may increase mineral absorption and positively affect bone quality; however, these studies have been carried out only on rodents fed a standard diet. The primary objective of this study was to determine the effect of inulin on bone health of pigs (using it as an animal model for humans) fed a high-fat diet rich in SFA, having an unbalanced ratio of lysine:metabolisable energy. It was hypothesised that inulin reduces the negative effects of such a diet on bone health. At 50 d of age, twenty-one pigs were randomly allotted to three groups: the control (C) group fed a standard diet, and two experimental (T and TI) groups fed a high-fat diet rich in SFA. Moreover, TI pigs consumed an extra inulin supply (7 % of daily feed intake). After 10 weeks, whole-body bone mineral content (P=0·0054) and bone mineral density (P=0·0322) were higher in pigs of groups TI and C compared with those of group T. Femur bone mineral density was highest in pigs in group C, lower in group TI and lowest in group T (P=0·001). Femurs of pigs in groups TI and C had similar, but higher, maximum strength compared with femurs of pigs in group T (P=0·0082). In conclusion, consumption of a high-fat diet rich in SFA adversely affected bone health, but inulin supplementation in such a diet diminishes this negative effect.
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Yang J, Zhang S, Henning SM, Lee R, Hsu M, Grojean E, Pisegna R, Ly A, Heber D, Li Z. Cholesterol-lowering effects of dietary pomegranate extract and inulin in mice fed an obesogenic diet. J Nutr Biochem 2018; 52:62-69. [DOI: 10.1016/j.jnutbio.2017.10.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 06/22/2017] [Accepted: 10/14/2017] [Indexed: 12/14/2022]
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17
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Chen M, Lu B, Li Y, Wang Y, Zheng H, Zhong D, Liao Z, Wang M, Ma F, Liao Q, Xie Z. Metabolomics insights into the modulatory effects of long-term compound polysaccharide intake in high-fat diet-induced obese rats. Nutr Metab (Lond) 2018; 15:8. [PMID: 29410697 PMCID: PMC5781284 DOI: 10.1186/s12986-018-0246-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 01/15/2018] [Indexed: 12/12/2022] Open
Abstract
Background Polysaccharides can alleviate obesity in mammals; however, studies on mechanism of this alleviation are limited. A few studies have indicated that polysaccharides improve obesity by regulating the metabolism of the body. Therefore, a metabolomics approach, consisting of high resolution nuclear magnetic resonance (NMR) spectroscopy and a multivariate statistical technique, was applied to explore the mechanism of the protective effects of lentinan and Flos Lonicera polysaccharides (LF) on high-fat diet (HFD) induced obesity. Methods In this study, rats were randomly divided into three groups: control diet (CD), HFD, and HFD supplemented with a mixture of lentinan and Flos Lonicera polysaccharide. Histopathological and clinical biochemical assessments were also conducted. A combination of a NMR metabolomics study and a multivariable statistical analysis method to distinguish urinary and fecal metabolites was applied. Results Significant obesity symptoms appeared in HFD rats (for example, significant weight gain, epididymal adipose accumulation and lipid deposition in hepatocytes), which was attenuated in the LF group. Additionally, the HFD induced a reduction of choline, citrate, pyruvate and glycerol and increased the levels of trimethylamine oxide (TMAO) and taurine. Of note, these metabolic disorders were reversed by LF intervention mainly through pathways of energy metabolism, choline metabolism and gut microbiota metabolism. Conclusions LF supplementation had a re-balancing effect on the disturbed metabolic pathways in the obese body. The results of this study validate the therapeutic effect of the compound polysaccharide--LF in obesity and described the biochemical and metabolic mechanisms involved. Electronic supplementary material The online version of this article (10.1186/s12986-018-0246-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mingyi Chen
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Biyu Lu
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Yuan Li
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Yuanyuan Wang
- Infinitus (China) Company Ltd, Guangzhou, 510623 China
| | - Haihui Zheng
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Danmin Zhong
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Ziqiong Liao
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
| | - Mengxia Wang
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Fangli Ma
- Infinitus (China) Company Ltd, Guangzhou, 510623 China
| | - Qiongfeng Liao
- 2School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, 510407 People's Republic of China
| | - Zhiyong Xie
- 1School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006 People's Republic of China
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Ma N, Liu X, Kong X, Li S, Jiao Z, Qin Z, Dong P, Yang Y, Li J. Feces and liver tissue metabonomics studies on the regulatory effect of aspirin eugenol eater in hyperlipidemic rats. Lipids Health Dis 2017; 16:240. [PMID: 29228968 PMCID: PMC5725792 DOI: 10.1186/s12944-017-0633-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 12/03/2017] [Indexed: 12/30/2022] Open
Abstract
Background Based on the pro-drug principle, aspirin and eugenol were esterified to synthesize aspirin eugenol ester (AEE). The anti-hyperlipidemia effect of aspirin eugenol ester has been confirmed in hyperlipidemic rat induced by high fat diet (HFD). However, its effect on liver and feces metabonomic profiles remains unknown. Methods Suspension of AEE was prepared in 5% carboxymethyl cellulose sodium (CMC-Na). Thirty rats were divided into control, model and AEE groups. The control and model rats were fed with normal diet or HFD for 13 weeks, respectively. Rats in AEE-treated group were fed with HFD for 8 weeks to induce hyperlipidemia, and then given AEE once daily by oral gavage for 5 weeks at the dosage of 54 mg/kg body weight. After drug intervention, lipid profile analysis and oil red O staining were carried out to confirm the lipid accumulation in liver tissue. UPLC-Q-TOF/MS-based liver and feces metabonomics coupled with pathway analysis were conducted to evaluate the changes of metabolic profile and endogenous metabolites. Results In liver tissue, oral administration of AEE significantly reduced lipid droplets and the levels of triglyceride (TG) and low-density lipoprotein (LDL). Using principal component analysis (PCA) and partial least squares-discriminate analysis (PLS-DA), distinct changes in metabolite patterns in feces and liver were observed. Liver and feces samples in control, model and AEE groups were scattered in PLS-DA score plots. 28 metabolites in liver and 22 in feces were identified as potential biomarkers related to hyperlipidemia. As possible drug targets, the perturbations of those biomarkers can be regulated by administration of AEE. Conclusion Anti-hyperlipidemia effect of AEE was confirmed by lipid analysis, oil red O staining and metabolomics analysis. The mechanism of AEE might be associated with the changes in the metabolism of glycerophospholipid, amino acid, fatty acid, sphingolipid, purine, bile acid and glutathione. Electronic supplementary material The online version of this article (10.1186/s12944-017-0633-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ning Ma
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China
| | - Xiwang Liu
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China
| | - Xiaojun Kong
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China
| | - Shihong Li
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China
| | - Zenghua Jiao
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China
| | - Zhe Qin
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China
| | - Pengcheng Dong
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China
| | - Yajun Yang
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China.
| | - Jianyong Li
- Key Lab of New Animal Drug Project of Gansu Province; Key Lab of Veterinary Pharmaceutical Development, Ministry of Agriculture, Lanzhou Institute of Husbandry and Pharmaceutical Science of Chinese Academy of Agricultural Sciences, No.335, Jiangouyan, Qilihe district, Lanzhou, 730050, People's Republic of China.
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Helianthus tuberosus (Jerusalem artichoke) tubers improve glucose tolerance and hepatic lipid profile in rats fed a high-fat diet. ASIAN PAC J TROP MED 2017. [PMID: 28647180 DOI: 10.1016/j.apjtm.2017.03.028] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES To analyze the effects of feeding Helianthus tuberosus (HT) tubers on glucose tolerance and lipid profile in rats fed a high-fat diet (HFD). METHODS A normal HFD or HFD including 10 w/w% HT tubers (HFD + HT) was fed to F334/Jcl rats. After 10 weeks, organ weights, glucose tolerance, and lipid profile were analyzed. RESULTS The body weight, liver weight, and epidermal fat content in the HFD group were higher than those of the normal group, and similar to those of the HFD + HT group. The oral glucose tolerance test at 10 weeks revealed that the blood glucose level 30 min after beginning the test in the HFD + HT group was significantly lower than that in the HFD group. Liver triglyceride and total cholesterol levels in the HFD + HT group were significantly lower than those in the HFD group. Fecal triglyceride and total cholesterol levels in the HFD + HT group were higher than those in the HFD group. Histological analyses revealed that fat and glycogen accumulation increased in the HFD group, but decreased in the HFD + HT group. CONCLUSIONS These results indicate that HT tubers have anti-fatty liver effects based on improvements in glucose tolerance and the hepatic lipid profile.
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Chen F, Liu C, Zhang J, Lei H, Li HP, Liao YC, Tang H. Combined Metabonomic and Quantitative RT-PCR Analyses Revealed Metabolic Reprogramming Associated with Fusarium graminearum Resistance in Transgenic Arabidopsis thaliana. FRONTIERS IN PLANT SCIENCE 2017; 8:2177. [PMID: 29354139 PMCID: PMC5758590 DOI: 10.3389/fpls.2017.02177] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 12/12/2017] [Indexed: 05/05/2023]
Abstract
Fusarium head blight disease resulting from Fusarium graminearum (FG) infection causes huge losses in global production of cereals and development of FG-resistant plants is urgently needed. To understand biochemistry mechanisms for FG resistance, here, we have systematically investigated the plant metabolomic phenotypes associated with FG resistance for transgenic Arabidopsis thaliana expressing a class-I chitinase (Chi), a Fusarium-specific recombinant antibody gene (CWP2) and fused Chi-CWP2. Plant disease indices, mycotoxin levels, metabonomic characteristics, and expression levels of several key genes were measured together with their correlations. We found that A. thaliana expressing Chi-CWP2 showed higher FG resistance with much lower disease indices and mycotoxin levels than the wild-type and the plants expressing Chi or CWP2 alone. The combined metabonomic and quantitative RT-PCR analyses revealed that such FG-resistance was closely associated with the promoted biosynthesis of secondary metabolites (phenylpropanoids, alkanoids) and organic osmolytes (proline, betaine, glucose, myo-inositol) together with enhanced TCA cycle and GABA shunt. These suggest that the concurrently enhanced biosyntheses of the shikimate-mediated secondary metabolites and organic osmolytes be an important strategy for A. thaliana to develop and improve FG resistance. These findings provide essential biochemical information related to FG resistance which is important for developing FG-resistant cereals.
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Affiliation(s)
- Fangfang Chen
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- College of Plant Science and Technology and College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Caixiang Liu
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China
| | - Jingtao Zhang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China
| | - Hehua Lei
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China
| | - He-Ping Li
- College of Plant Science and Technology and College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
| | - Yu-Cai Liao
- College of Plant Science and Technology and College of Life Science and Technology, Huazhong Agricultural University, Wuhan, China
- *Correspondence: Yu-Cai Liao
| | - Huiru Tang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, China
- State Key Laboratory of Genetic Engineering, Zhongshan Hospital and School of Life Sciences, Collaborative Innovation Centre for Genetics and Development, Shanghai International Centre for Molecular Phenomics, Metabonomics and Systems Biology Laboratory, Fudan University, Shanghai, China
- Huiru Tang
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Tumor growth affects the metabonomic phenotypes of multiple mouse non-involved organs in an A549 lung cancer xenograft model. Sci Rep 2016; 6:28057. [PMID: 27329570 PMCID: PMC4916411 DOI: 10.1038/srep28057] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Accepted: 05/31/2016] [Indexed: 02/05/2023] Open
Abstract
The effects of tumorigenesis and tumor growth on the non-involved organs remain poorly understood although many research efforts have already been made for understanding the metabolic phenotypes of various tumors. To better the situation, we systematically analyzed the metabolic phenotypes of multiple non-involved mouse organ tissues (heart, liver, spleen, lung and kidney) in an A549 lung cancer xenograft model at two different tumor-growth stages using the NMR-based metabonomics approaches. We found that tumor growth caused significant metabonomic changes in multiple non-involved organ tissues involving numerous metabolic pathways, including glycolysis, TCA cycle and metabolisms of amino acids, fatty acids, choline and nucleic acids. Amongst these, the common effects are enhanced glycolysis and nucleoside/nucleotide metabolisms. These findings provided essential biochemistry information about the effects of tumor growth on the non-involved organs.
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22
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Wu J, Yang L, Li S, Huang P, Liu Y, Wang Y, Tang H. Metabolomics Insights into the Modulatory Effects of Long-Term Low Calorie Intake in Mice. J Proteome Res 2016; 15:2299-308. [DOI: 10.1021/acs.jproteome.6b00336] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Junfang Wu
- Key
Laboratory of Magnetic Resonance in Biological Systems, State Key
Laboratory of Magnetic Resonance and Atomic and Molecular Physics,
Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and
Mathematics, Chinese Academy of Sciences, Wuhan 430071, P. R. China
| | - Liu Yang
- Key
Laboratory of Nutrition and Metabolism, Institute for Nutritional
Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Shoufeng Li
- Key
Laboratory of Nutrition and Metabolism, Institute for Nutritional
Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Ping Huang
- Key
Laboratory of Nutrition and Metabolism, Institute for Nutritional
Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Yong Liu
- Key
Laboratory of Nutrition and Metabolism, Institute for Nutritional
Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, P. R. China
| | - Yulan Wang
- Key
Laboratory of Magnetic Resonance in Biological Systems, State Key
Laboratory of Magnetic Resonance and Atomic and Molecular Physics,
Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and
Mathematics, Chinese Academy of Sciences, Wuhan 430071, P. R. China
- Collaborative
Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310058, P. R. China
| | - Huiru Tang
- Key
Laboratory of Magnetic Resonance in Biological Systems, State Key
Laboratory of Magnetic Resonance and Atomic and Molecular Physics,
Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and
Mathematics, Chinese Academy of Sciences, Wuhan 430071, P. R. China
- State Key
Laboratory of Genetic Engineering, Collaborative Innovation Center
for Genetics and Development, Metabolomics and Systems Biology Laboratory,
School of Life Sciences, Fudan University, Shanghai 200433, P. R. China
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23
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Correlations of Fecal Metabonomic and Microbiomic Changes Induced by High-fat Diet in the Pre-Obesity State. Sci Rep 2016; 6:21618. [PMID: 26916743 PMCID: PMC4768318 DOI: 10.1038/srep21618] [Citation(s) in RCA: 98] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 01/26/2016] [Indexed: 02/07/2023] Open
Abstract
Obesity resulting from interactions of genetic and environmental factors becomes a serious public health problem worldwide with alterations of the metabolic phenotypes in multiple biological matrices involving multiple metabolic pathways. To understand the contributions of gut microbiota to obesity development, we analyzed dynamic alterations in fecal metabonomic phenotype using NMR and fecal microorganism composition in rats using pyrosequencing technology during the high-fat diet (HFD) feeding for 81 days (pre-obesity state). Integrated analysis of these two phenotypic datasets was further conducted to establish correlations between the altered rat fecal metabonome and gut microbiome. We found that one-week HFD feeding already caused significant changes in rat fecal metabonome and such changes sustained throughout 81-days feeding with the host and gut microbiota co-metabolites clearly featured. We also found that HFD caused outstanding decreases in most fecal metabolites implying enhancement of gut absorptions. We further established comprehensive correlations between the HFD-induced changes in fecal metabonome and fecal microbial composition indicating contributions of gut microbiota in pathogenesis and progression of the HFD-induced obesity. These findings provided essential information about the functions of gut microbiota in pathogenesis of metabolic disorders which could be potentially important for developing obesity prevention and treatment therapies.
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Liu C, Ding F, Hao F, Yu M, Lei H, Wu X, Zhao Z, Guo H, Yin J, Wang Y, Tang H. Reprogramming of Seed Metabolism Facilitates Pre-harvest Sprouting Resistance of Wheat. Sci Rep 2016; 6:20593. [PMID: 26860057 PMCID: PMC4748292 DOI: 10.1038/srep20593] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 01/07/2016] [Indexed: 12/14/2022] Open
Abstract
Pre-harvest sprouting (PHS) is a worldwide problem for wheat production and transgene antisense-thioredoxin-s (anti-trx-s) facilitates outstanding resistance. To understand the molecular details of PHS resistance, we analyzed the metabonomes of the transgenic and wild-type (control) wheat seeds at various stages using NMR and GC-FID/MS. 60 metabolites were dominant in these seeds including sugars, organic acids, amino acids, choline metabolites and fatty acids. At day-20 post-anthesis, only malate level in transgenic wheat differed significantly from that in controls whereas at day-30 post-anthesis, levels of amino acids and sucrose were significantly different between these two groups. For mature seeds, most metabolites in glycolysis, TCA cycle, choline metabolism, biosynthesis of proteins, nucleotides and fatty acids had significantly lower levels in transgenic seeds than in controls. After 30-days post-harvest ripening, most metabolites in transgenic seeds had higher levels than in controls including amino acids, sugars, organic acids, fatty acids, choline metabolites and NAD+. These indicated that anti-trx-s lowered overall metabolic activities of mature seeds eliminating pre-harvest sprouting potential. Post-harvest ripening reactivated the metabolic activities of transgenic seeds to restore their germination vigor. These findings provided essential molecular phenomic information for PHS resistance of anti-trx-s and a credible strategy for future developing PHS resistant crops.
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Affiliation(s)
- Caixiang Liu
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan 430071, China
| | - Feng Ding
- College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Fuhua Hao
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan 430071, China
| | - Men Yu
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan 430071, China.,Wuhan Zhongke Metaboss Ltd, 128 Guang-Gu-Qi-Lu, Wuhan 430074, China
| | - Hehua Lei
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan 430071, China
| | - Xiangyu Wu
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan 430071, China
| | - Zhengxi Zhao
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Hongxiang Guo
- National Engineering Research Center for Wheat, Henan Agricultural University, Zhengzhou 450002, China
| | - Jun Yin
- National Engineering Research Center for Wheat, Henan Agricultural University, Zhengzhou 450002, China
| | - Yulan Wang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan 430071, China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310058, China
| | - Huiru Tang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, the Chinese Academy of Sciences, Wuhan 430071, China.,State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Developmental Biology, Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai 200438, China
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25
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Tsurumaki M, Kotake M, Iwasaki M, Saito M, Tanaka K, Aw W, Fukuda S, Tomita M. The application of omics technologies in the functional evaluation of inulin and inulin-containing prebiotics dietary supplementation. Nutr Diabetes 2015; 5:e185. [PMID: 26619369 PMCID: PMC4672356 DOI: 10.1038/nutd.2015.35] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Revised: 09/23/2015] [Accepted: 10/19/2015] [Indexed: 12/25/2022] Open
Abstract
Inulin, a natural renewable polysaccharide resource produced by various plants in nature, has been reported to possess a significant number of diverse pharmaceutical and food applications. Recently, there has been rapid progress in high-throughput technologies and platforms to assay global mRNA, proteins, metabolites and gut microbiota. In this review, we will describe the current status of utilizing omics technologies of elucidating the impact of inulin and inulin-containing prebiotics at the transcriptome, proteome, metabolome and gut microbiome levels. Although many studies in this review have addressed the impact of inulin comprehensively, these omics technologies only enable us to understand physiological information at each different stage of mRNA, protein, metabolite and gut microbe. We believe that a synergistic approach is vital in order to fully illustrate the intricate beauty behind the relatively modest influence of food factors like inulin on host health.
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Affiliation(s)
- M Tsurumaki
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - M Kotake
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - M Iwasaki
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - M Saito
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - K Tanaka
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
| | - W Aw
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
- Graduate School of Media and Governance, Keio University, Fujisawa, Japan
| | - S Fukuda
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
- Graduate School of Media and Governance, Keio University, Fujisawa, Japan
| | - M Tomita
- Faculty of Environment and Information Studies, Keio University, Fujisawa, Japan
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Japan
- Graduate School of Media and Governance, Keio University, Fujisawa, Japan
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26
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Song Y, Zhao R, Hu Y, Hao F, Li N, Nie G, Tang H, Wang Y. Assessment of the Biological Effects of a Multifunctional Nano-Drug-Carrier and Its Encapsulated Drugs. J Proteome Res 2015; 14:5193-201. [PMID: 26531143 DOI: 10.1021/acs.jproteome.5b00513] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Polymer-nanoparticle-encapsulated doxorubicin (DOX) and paclitaxel (TAX) have the potential for novel therapeutic use against cancer in the clinic. However, the systemic biological effect of the nanoparticle material, namely, methoxypoly(ethylene glycol)-poly(lactide-co-glycolide) (mPEG-PLGA), and its encapsulated drugs have not been fully studied. We have applied NMR-based metabonomics methodology to characterize and analyze the systemic metabolic changes in mice after being exposed to mPEG-PLGA, mPEG-PLGA-encapsulated DOX and TAX (NP-D/T), and their free forms. The study revealed that mPEG-PLGA exposure only induces temporary and slight metabolic alternations and that there are detoxification effects of nanoparticle packed with D/T drugs on the heart when comparing with free-form D/T drugs. Both NP-D/T and their free forms induce a shift in energy metabolism, stimulate antioxidation pathways, and disturb the gut microbial activity of the host. However, mPEG-PLGA packaging can relieve the energy metabolism inhibition and decrease the activation of antioxidation pathways caused by D/T exposure. These findings provide a holistic insight into the biological effect of polymer nanoparticle and nanoparticle-encapsulated drugs. This study also furthers our understanding of the molecular mechanisms involved in the amelioration effects of mPEG-PLGA packaging on the toxicity of the incorporated drugs.
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Affiliation(s)
- Yipeng Song
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences , Wuhan, 430071, P. R. China
| | - Ruifang Zhao
- Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences , Beijing, 100190, P. R. China
| | - Yili Hu
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences , Wuhan, 430071, P. R. China
| | - Fuhua Hao
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences , Wuhan, 430071, P. R. China
| | - Ning Li
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences , Wuhan, 430071, P. R. China
| | - Guangjun Nie
- Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, National Center for Nanoscience and Technology, University of Chinese Academy of Sciences , Beijing, 100190, P. R. China
| | - Huiru Tang
- State Key Laboratory of Genetic Engineering, Biospectroscopy and Metabolomics, School of Life Sciences, Fudan University , Shanghai, 200433, P. R. China
| | - Yulan Wang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences , Wuhan, 430071, P. R. China.,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310058, P. R. China
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Li N, Song YP, Tang H, Wang Y. Recent developments in sample preparation and data pre-treatment in metabonomics research. Arch Biochem Biophys 2015; 589:4-9. [PMID: 26342458 DOI: 10.1016/j.abb.2015.08.024] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 08/27/2015] [Accepted: 08/30/2015] [Indexed: 12/13/2022]
Abstract
Metabonomics is a powerful approach for biomarker discovery and an effective tool for pinpointing endpoint metabolic effects of external stimuli, such as pathogens and disease development. Due to its wide applications, metabonomics is required to deal with various biological samples of different properties. Hence sample preparation and corresponding data pre-treatment become important factors in ensuring validity of an investigation. In this review, we summarize some recent developments in metabonomics sample preparation and data-pretreatment procedures.
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Affiliation(s)
- Ning Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China
| | - Yi peng Song
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China
| | - Huiru Tang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China; State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Metabolomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai 200433, PR China
| | - Yulan Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, PR China.
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28
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Zhou L, Li H, Hao F, Li N, Liu X, Wang G, Wang Y, Tang H. Developmental Changes for the Hemolymph Metabolome of Silkworm (Bombyx mori L.). J Proteome Res 2015; 14:2331-47. [PMID: 25825269 DOI: 10.1021/acs.jproteome.5b00159] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Silkworm (Bombyx mori) is a lepidopteran-holometabolic model organism. To understand its developmental biochemistry, we characterized the larval hemolymph metabonome from the third instar to prepupa stage using (1)H NMR spectroscopy whilst hemolymph fatty acid composition using GC-FID/MS. We unambiguously assigned more than 60 metabolites, among which tyrosine-o-β-glucuronide, mesaconate, homocarnosine, and picolinate were reported for the first time from the silkworm hemolymph. Phosphorylcholine was the most abundant metabolite in all developmental stages with exception for the periods before the third and fourth molting. We also found obvious developmental dependence for the hemolymph metabonome involving multiple pathways including protein biosyntheses, glycolysis, TCA cycle, the metabolisms of choline amino acids, fatty acids, purines, and pyrimidines. Most hemolymph amino acids had two elevations during the feeding period of the fourth instar and prepupa stage. Trehalose was the major blood sugar before day 8 of the fifth instar, whereas glucose became the major blood sugar after spinning. C16:0, C18:0 and its unsaturated forms were dominant fatty acids in hemolymph. The developmental changes of hemolymph metabonome were associated with dietary nutrient intakes, biosyntheses of cell membrane, pigments, proteins, and energy metabolism. These findings offered essential biochemistry information in terms of the dynamic metabolic changes during silkworm development.
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Affiliation(s)
- Lihong Zhou
- †College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China.,‡Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.,¶College of Life Sciences, Jianghan University, Wuhan 430056, China
| | - Huihui Li
- ‡Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China
| | - Fuhua Hao
- ‡Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China
| | - Ning Li
- ‡Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China
| | - Xin Liu
- †College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Guoliang Wang
- ¶College of Life Sciences, Jianghan University, Wuhan 430056, China
| | - Yulan Wang
- ‡Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.,⊥Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310058, China
| | - Huiru Tang
- ‡Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China.,§State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai 200433, China
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29
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Yang Y, Zheng L, Wang L, Wang S, Wang Y, Han Z. Effects of high fructose and salt feeding on systematic metabonome probed via (1) H NMR spectroscopy. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2015; 53:295-303. [PMID: 25641270 DOI: 10.1002/mrc.4198] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2014] [Revised: 11/01/2014] [Accepted: 11/15/2014] [Indexed: 06/04/2023]
Abstract
Diets rich in high fructose and salt are increasingly popular in our daily life. A combination consumption of excessive fructose and salt can induce insulin resistance (IR) and hypertension (HT), which are major public health problems around the world. However, the effects of high fructose and salt on systematic metabonome remain unknown, which is very important for revealing the molecular mechanism of IR and HT induced by this dietary pattern. The metabolic profiling in urine, plasma, and fecal extracts from high fructose and salt-fed rats was investigated by use of (1) H nuclear magnetic resonance (NMR)-based metabonomics approach in this study. Multivariate analysis of NMR data showed the effects of high fructose and salt on the global metabonome. The metabolite analysis in urine and fecal extracts showed the time-dependent metabolic changes, which displayed metabonomic progression axes from normal to IR and HT status. The changes of 2-oxoglutarate, creatine and creatinine, citrate, hippurate, trimethylamine N-oxide (TMAO), and betaine in urine, together with gut microbiota disorder in feces, were observed at the preliminary formation stage of IR and HT (fourth week). At the severe stage (eighth week), the previously mentioned metabolic changes were aggravated, and the changes of lipid and choline metabolism in plasma suggested the increased risk of cardiovascular diseases. These findings provide an overview of biochemistry consequences of high fructose and salt feeding and comprehensive insights into the progression of systematic metabonome for IR and HT induced by this dietary pattern.
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Affiliation(s)
- Yongxia Yang
- School of Basic Courses, Guangdong Pharmaceutical University, Guangzhou, 510006, China
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30
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Li D, Zhang L, Dong F, Liu Y, Li N, Li H, Lei H, Hao F, Wang Y, Zhu Y, Tang H. Metabonomic Changes Associated with Atherosclerosis Progression for LDLR(-/-) Mice. J Proteome Res 2015; 14:2237-54. [PMID: 25784267 DOI: 10.1021/acs.jproteome.5b00032] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Atherosclerosis resulting from hyperlipidemia causes many serious cardiovascular diseases. To understand the systems changes associated with pathogenesis and progression of atherosclerosis, we comprehensively analyzed the dynamic metabonomic changes in multiple biological matrices of LDLR(-/-) mice using NMR and GC-FID/MS with gene expression, clinical chemistry, and histopathological data as well. We found that 12 week "Western-type" diet (WD) treatment caused obvious aortic lesions, macrophage infiltration, and collagen level elevation in LDLR(-/-) mice accompanied by up-regulation of inflammatory factors including aortic ICAM-1, MCP-1, iNOS, MMP2, and hepatic TNFα and IL-1β. The WD-induced atherosclerosis progression was accompanied by metabonomic changes in multiple matrices including biofluids (plasma, urine) and (liver, kidney, myocardial) tissues involving multiple metabolic pathways. These included disruption of cholesterol homeostasis, disturbance of biosynthesis of amino acids and proteins, altered gut microbiota functions together with metabolisms of vitamin-B3, choline, purines, and pyrimidines. WD treatment caused down-regulation of SCD1 and promoted oxidative stress reflected by urinary allantoin elevation and decreases in hepatic PUFA-to-MUFA ratio. When switching to normal diet, atherosclerotic LDLR(-/-) mice reprogrammed their metabolisms and reversed the atherosclerosis-associated metabonomic changes to a large extent, although aortic lesions, inflammation parameters, macrophage infiltration, and collagen content were only partially alleviated. We concluded that metabolisms of fatty acids and vitamin-B3 together with gut microbiota played crucially important roles in atherosclerosis development. These findings offered essential biochemistry details of the diet-induced atherosclerosis and demonstrated effectiveness of the integrated metabonomic analysis of multiple biological matrices for understanding the molecular aspects of cardiovascular diseases.
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Affiliation(s)
- Dan Li
- †Department of Physiology and Pathophysiology, Peking University Health Science Center, Beijing 100191, China
| | - Lulu Zhang
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China
| | - Fangcong Dong
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China
| | - Yan Liu
- †Department of Physiology and Pathophysiology, Peking University Health Science Center, Beijing 100191, China
| | - Ning Li
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China
| | - Huihui Li
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China
| | - Hehua Lei
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China
| | - Fuhua Hao
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China
| | - Yulan Wang
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China.,∥Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou 310058, China
| | - Yi Zhu
- †Department of Physiology and Pathophysiology, Peking University Health Science Center, Beijing 100191, China.,⊥Department of Physiology and Pathophysiology, Tianjin Medical University, Tianjin 300070, China
| | - Huiru Tang
- ‡CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences, Wuhan, 430071, China.,§State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai 200433, China
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31
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Li N, Zhang L, An Y, Zhang L, Song Y, Wang Y, Tang H. Antagonist of prostaglandin E2 receptor 4 induces metabolic alterations in liver of mice. J Proteome Res 2015; 14:1566-73. [PMID: 25669961 DOI: 10.1021/pr501236y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Prostaglandin E2 receptor 4 (EP4) is one of the receptors for prostaglandin E2 and plays important roles in various biological functions. EP4 antagonists have been used as anti-inflammatory drugs. To investigate the effects of an EP4 antagonist (L-161982) on the endogenous metabolism in a holistic manner, we employed a mouse model, and obtained metabolic and transcriptomic profiles of multiple biological matrixes, including serum, liver, and urine of mice with and without EP4 antagonist (L-161982) exposure. We found that this EP4 antagonist caused significant changes in fatty acid metabolism, choline metabolism, and nucleotide metabolism. EP4 antagonist exposure also induced oxidative stress to mice. Our research is the first of its kind to report information on the alteration of metabolism associated with an EP4 antagonist. This information could further our understanding of current and new biological functions of EP4.
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Affiliation(s)
- Ning Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, University of Chinese Academy of Sciences , Wuhan, 430071, P. R. China
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32
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Ye Y, An Y, Li R, Mu C, Wang C. Strategy of metabolic phenotype modulation in Portunus trituberculatus exposed to low salinity. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2014; 62:3496-3503. [PMID: 24655103 DOI: 10.1021/jf405668a] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Extreme low salinity influences normal crab growth, morphogenesis, and production. Some individuals of swimming crab Portunus trituberculatus have, however, an inherent ability to adapt to such a salinity fluctuation. This study investigated the dynamic metabolite alterations of two P. trituberculatus strains, namely, a wild one and a screened (low-salinity tolerant) one in response to low-salinity challenge by combined use of NMR spectroscopy and high-throughput data analysis. The dominant metabolites in crab muscle were found to comprise amino acids, sugars, carboxylic acids, betaine, trimethylamine-N-oxide, 2-pyridinemethanol, trigonelline, and nucleotides. These results further showed that the strategy of metabolic modulation of P. trituberculatus after low-salinity stimulus includes osmotic rebalancing, enhanced gluconeogenesis from amino acids, and energy accumulation. These metabolic adaptations were manifested in the accumulation of trimethylamine-N-oxide, ATP, 2-pyridinemethanol, and trigonelline and in the depletion of the amino acid pool as well as in the fluctuation of inosine levels. This lends support to the fact that the low-salinity training accelerates the responses of crabs to low-salinity stress. These findings provide a comprehensive insight into the mechanisms of metabolic modulation in P. trituberculatus in response to low salinity. This work highlights the approach of NMR-based metabonomics in conjunction with multivariate data analysis and univariate data analysis in understanding the strategy of metabolic phenotype modulation against stressors.
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Affiliation(s)
- Yangfang Ye
- School of Marine Sciences, Ningbo University , Ningbo 315211, China
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