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Benchoula K, Serpell CJ, Mediani A, Albogami A, Misnan NM, Ismail NH, Parhar IS, Ogawa S, Hwa WE. 1H NMR metabolomics insights into comparative diabesity in male and female zebrafish and the antidiabetic activity of DL-limonene. Sci Rep 2024; 14:3823. [PMID: 38360784 PMCID: PMC10869695 DOI: 10.1038/s41598-023-45608-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/21/2023] [Indexed: 02/17/2024] Open
Abstract
Zebrafish have been utilized for many years as a model animal for pharmacological studies on diabetes and obesity. High-fat diet (HFD), streptozotocin and alloxan injection, and glucose immersion have all been used to induce diabetes and obesity in zebrafish. Currently, studies commonly used both male and female zebrafish, which may influence the outcomes since male and female zebrafish are biologically different. This study was designed to investigate the difference between the metabolites of male and female diabetic zebrafish, using limonene - a natural product which has shown several promising results in vitro and in vivo in treating diabetes and obesity-and provide new insights into how endogenous metabolites change following limonene treatment. Using HFD-fed male and female zebrafish, we were able to develop an animal model of T2D and identify several endogenous metabolites that might be used as diagnostic biomarkers for diabetes. The endogenous metabolites in males and females were different, even though both genders had high blood glucose levels and a high BMI. Treatment with limonene prevented high blood glucose levels and improved in diabesity zebrafish by limonene, through reversal of the metabolic changes caused by HFD in both genders. In addition, limonene was able to reverse the elevated expression of AKT during HFD.
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Affiliation(s)
- Khaled Benchoula
- School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, 1, Jalan Taylors, 47500, Subang Jaya, Selangor, Malaysia
| | | | - Ahmed Mediani
- Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, 43600, UKM Bangi, Selangor, Malaysia
| | - Abdulaziz Albogami
- Biology Department, Faculty of Science, Al-Baha University, 65779-7738, Alaqiq, Saudi Arabia
| | - Norazlan Mohmad Misnan
- Institute for Medical Research Malaysia, No.1, Jalan Setia Murni U13/52, Seksyen U13, Setia Alam, 40170, Shah Alam, Selangor Darul Ehsan, Malaysia
| | - Nor Hadiani Ismail
- Atta-ur-Rahman Institute for Natural Products Discovery, UiTM Puncak Alam Campus, 42300, Puncak Alam, Selangor, Malaysia
| | - Ishwar S Parhar
- Monash University (Malaysia) BRIMS, Jeffrey Cheah School of Medicine and Health Sciences, Jalan Lagoon Selatan, Bandar Sunway, 47500, Subang Jaya, Selangor, Malaysia
| | - Satoshi Ogawa
- Monash University (Malaysia) BRIMS, Jeffrey Cheah School of Medicine and Health Sciences, Jalan Lagoon Selatan, Bandar Sunway, 47500, Subang Jaya, Selangor, Malaysia
| | - Wong Eng Hwa
- School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, 1, Jalan Taylors, 47500, Subang Jaya, Selangor, Malaysia.
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Wei J, Luo J, Yang F, Feng X, Zeng M, Dai W, Pan X, Yang Y, Li Y, Duan Y, Xiao X, Ye P, Yao Z, Liu Y, Huang Z, Zhang J, Zhong Y, Xu N, Luo M. Cultivated Enterococcus faecium B6 from children with obesity promotes nonalcoholic fatty liver disease by the bioactive metabolite tyramine. Gut Microbes 2024; 16:2351620. [PMID: 38738766 PMCID: PMC11093035 DOI: 10.1080/19490976.2024.2351620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 05/01/2024] [Indexed: 05/14/2024] Open
Abstract
Gut microbiota plays an essential role in nonalcoholic fatty liver disease (NAFLD). However, the contribution of individual bacterial strains and their metabolites to childhood NAFLD pathogenesis remains poorly understood. Herein, the critical bacteria in children with obesity accompanied by NAFLD were identified by microbiome analysis. Bacteria abundant in the NAFLD group were systematically assessed for their lipogenic effects. The underlying mechanisms and microbial-derived metabolites in NAFLD pathogenesis were investigated using multi-omics and LC-MS/MS analysis. The roles of the crucial metabolite in NAFLD were validated in vitro and in vivo as well as in an additional cohort. The results showed that Enterococcus spp. was enriched in children with obesity and NAFLD. The patient-derived Enterococcus faecium B6 (E. faecium B6) significantly contributed to NAFLD symptoms in mice. E. faecium B6 produced a crucial bioactive metabolite, tyramine, which probably activated PPAR-γ, leading to lipid accumulation, inflammation, and fibrosis in the liver. Moreover, these findings were successfully validated in an additional cohort. This pioneering study elucidated the important functions of cultivated E. faecium B6 and its bioactive metabolite (tyramine) in exacerbating NAFLD. These findings advance the comprehensive understanding of NAFLD pathogenesis and provide new insights for the development of microbe/metabolite-based therapeutic strategies.
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Affiliation(s)
- Jia Wei
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jiayou Luo
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Fei Yang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang, Hunan, China
| | - Xiangling Feng
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ming Zeng
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Wen Dai
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Xiongfeng Pan
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yue Yang
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang, Hunan, China
| | - Yamei Li
- Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang, Hunan, China
| | - Yamei Duan
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Xiang Xiao
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ping Ye
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Zhenzhen Yao
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yixu Liu
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Zhihang Huang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jiajia Zhang
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yan Zhong
- Institute of Children Health, Hunan Children’s Hospital, Changsha, Hunan, China
| | - Ningan Xu
- Institute of Children Health, Hunan Children’s Hospital, Changsha, Hunan, China
| | - Miyang Luo
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
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3
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Liu X, Yu Y, Hou L, Yu Y, Wu Y, Wu S, He Y, Ge Y, Wei Y, Luo Q, Qian F, Feng Y, Li H, Xue F. Association between dietary habits and the risk of migraine: a Mendelian randomization study. Front Nutr 2023; 10:1123657. [PMID: 37351190 PMCID: PMC10282154 DOI: 10.3389/fnut.2023.1123657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 05/19/2023] [Indexed: 06/24/2023] Open
Abstract
Objective The important contribution of dietary triggers to migraine pathogenesis has been recognized. However, the potential causal roles of many dietary habits on the risk of migraine in the whole population are still under debate. The objective of this study was to determine the potential causal association between dietary habits and the risk of migraine (and its subtypes) development, as well as the possible mediator roles of migraine risk factors. Methods Based on summary statistics from large-scale genome-wide association studies, we conducted two-sample Mendelian randomization (MR) and bidirectional MR to investigate the potential causal associations between 83 dietary habits and migraine and its subtypes, and network MR was performed to explore the possible mediator roles of 8 migraine risk factors. Results After correcting for multiple testing, we found evidence for associations of genetically predicted coffee, cheese, oily fish, alcohol (red wine), raw vegetables, muesli, and wholemeal/wholegrain bread intake with decreased risk of migraine, those odds ratios ranged from 0.78 (95% CI: 0.63-0.95) for overall cheese intake to 0.61 (95% CI: 0.47-0.80) for drinks usually with meals among current drinkers (yes + it varies vs. no); while white bread, cornflakes/frosties, and poultry intake were positively associated with the risk of migraine. Additionally, genetic liability to white bread, wholemeal/wholegrain bread, muesli, alcohol (red wine), cheese, and oily fish intake were associated with a higher risk of insomnia and (or) major depression disorder (MDD), each of them may act as a mediator in the pathway from several dietary habits to migraine. Finally, we found evidence of a negative association between genetically predicted migraine and drinking types, and positive association between migraine and cups of tea per day. Significance Our study provides evidence about association between dietary habits and the risk of migraine and demonstrates that some associations are partly mediated through one or both insomnia and MDD. These results provide new insights for further nutritional interventions for migraine prevention.
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Affiliation(s)
- Xinhui Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yuanyuan Yu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Lei Hou
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yifan Yu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yutong Wu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Sijia Wu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yina He
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yilei Ge
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yun Wei
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qingxin Luo
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Fengtong Qian
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yue Feng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Hongkai Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
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Ma S, Yang L, Li H, Chen X, Lin X, Ge W, Wang Y, Sun L, Zhao G, Wang B, Wang Z, Wu M, Lu X, Akhtar ML, Yang D, Bai Y, Li Y, Nie H. Understanding metabolic alterations after SARS-CoV-2 infection: insights from the patients' oral microenvironmental metabolites. BMC Infect Dis 2023; 23:42. [PMID: 36690957 PMCID: PMC9869582 DOI: 10.1186/s12879-022-07979-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 12/30/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 is a type of acute infectious pneumonia and frequently confused with influenza since the initial symptoms. When the virus colonized the patient's mouth, it will cause changes of the oral microenvironment. However, few studies on the alterations of metabolism of the oral microenvironment affected by SARS-CoV-2 infection have been reported. In this study, we explored metabolic alterations of oral microenvironment after SARS-CoV-2 infection. METHODS Untargeted metabolomics (UPLC-MS) was used to investigate the metabolic changes between oral secretion samples of 25 COVID-19 and 30 control participants. To obtain the specific metabolic changes of COVID-19, we selected 25 influenza patients to exclude the metabolic changes caused by the stress response of the immune system to the virus. Multivariate analysis (PCA and PLS-DA plots) and univariate analysis (students' t-test) were used to compare the differences between COVID-19 patients and the controls. Online hiplot tool was used to perform heatmap analysis. Metabolic pathway analysis was conducted by using the MetaboAnalyst 5.0 web application. RESULTS PLS-DA plots showed significant separation of COVID-19 patients and the controls. A total of 45 differential metabolites between COVID-19 and control group were identified. Among them, 35 metabolites were defined as SARS-CoV-2 specific differential metabolites. Especially, the levels of cis-5,8,11,14,17-eicosapentaenoic acid and hexanoic acid changed dramatically based on the FC values. Pathway enrichment found the most significant pathways were tyrosine-related metabolism. Further, we found 10 differential metabolites caused by the virus indicating the body's metabolism changes after viral stimulation. Moreover, adenine and adenosine were defined as influenza virus-specific differential metabolites. CONCLUSIONS This study revealed that 35 metabolites and tyrosine-related metabolism pathways were significantly changed after SARS-CoV-2 infection. The metabolic alterations of oral microenvironment in COVID-19 provided new insights into its molecular mechanisms for research and prognostic treatment.
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Affiliation(s)
- Shengli Ma
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Lijun Yang
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Hui Li
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Xinghe Chen
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Xiaoyu Lin
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Wenyu Ge
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Yindong Wang
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Liping Sun
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Guiping Zhao
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Bing Wang
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Zheng Wang
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Meng Wu
- grid.19373.3f0000 0001 0193 3564Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, China
| | - Xin Lu
- grid.9227.e0000000119573309CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Muhammad Luqman Akhtar
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Depeng Yang
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yan Bai
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Yu Li
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Huan Nie
- grid.19373.3f0000 0001 0193 3564School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
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Effects of Two Kinds of Extracts of Cistanche deserticola on Intestinal Microbiota and Its Metabolism. Foods 2022; 11:foods11182897. [PMID: 36141024 PMCID: PMC9498788 DOI: 10.3390/foods11182897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Cistanche deserticola belongs to the Liedang family. Known as "desert ginseng", it has high medicinal value and plays important roles in endocrine regulation, neuroprotection, immune regulation, and other processes. Some studies have shown that single substances such as polysaccharides and phenylethanolside can affect intestinal microbiota, but few studies have studied the synergistic effect of various components in Cistanche deserticola extracts on intestinal microbiota. Therefore, in this study, through an in vitro digestion model (Changdao Moni, CDMN) combined with 16S rRNA gene amplification sequencing technology and untargeted metabolomics technology, it was found that the two extracts all had significant effects on the enteric cavity and mucosal flora. Both extracts inhibited Bacteroides in the intestinal cavity and Parabacteroides and Ruminococcus 2 in the intestinal mucosa and promoted Bifidobacterium and Prevotella in the intestinal cavity and Megasphaera in the intestinal mucosa. The aqueous extract also inhibited Phascolarctobacterium. Both extracts also significantly increased the production of short-chain fatty acids, especially butyrate. The intake of extract had significant effects on the metabolic pathways related to amino acids and lipids. Indoles were upregulated by the aqueous extract but downregulated by the alcohol extract. In addition, the extract also had a significant effect on the hemolytic phosphorus esters. In conclusion, the two kinds of extracts have different effects on intestinal microbiota and its metabolism. This study provides guiding significance for the edibility and food development of Cistanche deserticola.
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Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus. Int J Mol Sci 2022; 23:ijms23094534. [PMID: 35562924 PMCID: PMC9105607 DOI: 10.3390/ijms23094534] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 12/14/2022] Open
Abstract
Metabolomics strategies are widely used to examine obesity and type 2 diabetes (T2D). Patients with obesity (n = 31) or T2D (n = 26) and sex- and age-matched controls (n = 28) were recruited, and serum and tear samples were collected. The concentration of 23 amino acids and 10 biogenic amines in serum and tear samples was analyzed. Statistical analysis and Pearson correlation analysis along with network analysis were carried out. Compared to controls, changes in the level of 6 analytes in the obese group and of 10 analytes in the T2D group were statistically significant. For obesity, the energy generation, while for T2D, the involvement of NO synthesis and its relation to insulin signaling and inflammation, were characteristic. We found that BCAA and glutamine metabolism, urea cycle, and beta-oxidation make up crucial parts of the metabolic changes in T2D. According to our data, the retromer-mediated retrograde transport, the ethanolamine metabolism, and, consequently, the endocannabinoid signaling and phospholipid metabolism were characteristic of both conditions and can be relevant pathways to understanding and treating insulin resistance. By providing potential therapeutic targets and new starting points for mechanistic studies, our results emphasize the importance of complex data analysis procedures to better understand the pathomechanism of obesity and diabetes.
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High doses of tyramine stimulate glucose transport in human fat cells. J Physiol Biochem 2022; 78:543-556. [DOI: 10.1007/s13105-021-00864-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 12/09/2021] [Indexed: 01/13/2023]
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Strassheim D, Sullivan T, Irwin DC, Gerasimovskaya E, Lahm T, Klemm DJ, Dempsey EC, Stenmark KR, Karoor V. Metabolite G-Protein Coupled Receptors in Cardio-Metabolic Diseases. Cells 2021; 10:3347. [PMID: 34943862 PMCID: PMC8699532 DOI: 10.3390/cells10123347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 11/10/2021] [Accepted: 11/18/2021] [Indexed: 12/15/2022] Open
Abstract
G protein-coupled receptors (GPCRs) have originally been described as a family of receptors activated by hormones, neurotransmitters, and other mediators. However, in recent years GPCRs have shown to bind endogenous metabolites, which serve functions other than as signaling mediators. These receptors respond to fatty acids, mono- and disaccharides, amino acids, or various intermediates and products of metabolism, including ketone bodies, lactate, succinate, or bile acids. Given that many of these metabolic processes are dysregulated under pathological conditions, including diabetes, dyslipidemia, and obesity, receptors of endogenous metabolites have also been recognized as potential drug targets to prevent and/or treat metabolic and cardiovascular diseases. This review describes G protein-coupled receptors activated by endogenous metabolites and summarizes their physiological, pathophysiological, and potential pharmacological roles.
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Affiliation(s)
- Derek Strassheim
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
| | - Timothy Sullivan
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
| | - David C. Irwin
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
| | - Evgenia Gerasimovskaya
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
| | - Tim Lahm
- Division of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health Denver, Denver, CO 80206, USA;
- Rocky Mountain Regional VA Medical Center, Aurora, CO 80045, USA
| | - Dwight J. Klemm
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
- Rocky Mountain Regional VA Medical Center, Aurora, CO 80045, USA
- Division of Pulmonary Sciences and Critical Care Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Edward C. Dempsey
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
- Rocky Mountain Regional VA Medical Center, Aurora, CO 80045, USA
- Division of Pulmonary Sciences and Critical Care Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Kurt R. Stenmark
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
| | - Vijaya Karoor
- Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Denver, CO 80204, USA; (D.S.); (T.S.); (D.C.I.); (E.G.); (D.J.K.); (E.C.D.); (K.R.S.)
- Division of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health Denver, Denver, CO 80206, USA;
- Division of Pulmonary Sciences and Critical Care Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA
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Shcherbakova ES, Sall TS, Sitkin SI, Vakhitov TY, Demyanova EV. The role of bacterial metabolites derived from aromatic amino acids in non-alcoholic fatty liver disease. ALMANAC OF CLINICAL MEDICINE 2020; 48:375-386. [DOI: 10.18786/2072-0505-2020-48-066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
The review deals with the role of aromatic amino acids and their microbial metabolites in the development and progression of non-alcoholic fatty liver disease (NAFLD). Pathological changes typical for NAFLD, as well as abnormal composition and/or functional activity of gut microbiota, results in abnormal aromatic amino acid metabolism. The authors discuss the potential of these amino acids and their bacterial metabolites to produce both negative and positive impact on the main steps of NAFLD pathophysiology, such as lipogenesis and inflammation, as well as on the liver functions through regulation of the intestinal barrier and microbiota-gut-liver axis signaling. The review gives detailed description of the mechanism of biological activity of tryptophan and its derivatives (indole, tryptamine, indole-lactic, indole-propyonic, indole-acetic acids, and indole-3-aldehyde) through the activation of aryl hydrocarbon receptor (AhR), preventing the development of liver steatosis. Bacteria-produced phenyl-alanine metabolites could promote liver steatosis (phenyl acetic and phenyl lactic acids) or, on the contrary, could reduce liver inflammation and increase insulin sensitivity (phenyl propionic acid). Tyramine, para-cumarate, 4-hydroxyphenylacetic acids, being by-products of bacterial catabolism of tyrosine, can prevent NAFLD, whereas para-cresol and phenol accelerate the progression of NAFLD by damaging the barrier properties of intestinal epithelium. Abnormalities in bacterial catabolism of tyrosine, leading to its excess, stimulate fatty acid synthesis and promote lipid infiltration of the liver. The authors emphasize a close interplay between bacterial metabolism of aromatic amino acids by gut microbiota and the functioning of the human body. They hypothesize that microbial metabolites of aromatic amino acids may represent not only therapeutic targets or non-invasive biomarkers, but also serve as bioactive agents for NAFLD treatment and prevention.
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Affiliation(s)
| | - T. S. Sall
- State Research Institute of Especially Purified Bioproducts
| | - S. I. Sitkin
- State Research Institute of Especially Purified Bioproducts;
North Western State Medical University named after I.I. Mechnikov
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10
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Martinez PJ, Agudiez M, Molero D, Martin-Lorenzo M, Baldan-Martin M, Santiago-Hernandez A, García-Segura JM, Madruga F, Cabrera M, Calvo E, Ruiz-Hurtado G, Barderas MG, Vivanco F, Ruilope LM, Alvarez-Llamas G. Urinary metabolic signatures reflect cardiovascular risk in the young, middle-aged, and elderly populations. J Mol Med (Berl) 2020; 98:1603-1613. [PMID: 32914213 PMCID: PMC7591416 DOI: 10.1007/s00109-020-01976-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/10/2020] [Accepted: 09/03/2020] [Indexed: 01/09/2023]
Abstract
The predictive value of traditional cardiovascular risk estimators is limited, and young and elderly populations are particularly underrepresented. We aimed to investigate the urine metabolome and its association with cardiovascular risk to identify novel markers that might complement current estimators based on age. Urine samples were collected from 234 subjects categorized into three age-grouped cohorts: 30-50 years (cohort I, young), 50-70 years (cohort II, middle-aged), and > 70 years (cohort III, elderly). Each cohort was further classified into three groups: (a) control, (b) individuals with cardiovascular risk factors, and (c) those who had a previous cardiovascular event. Novel urinary metabolites linked to cardiovascular risk were identified by nuclear magnetic resonance in cohort I and then evaluated by target mass spectrometry quantification in all cohorts. A previously identified metabolic fingerprint associated with atherosclerosis was also analyzed and its potential risk estimation investigated in the three aged cohorts. Three different metabolic signatures were identified according to age: 2-hydroxybutyrate, gamma-aminobutyric acid, hypoxanthine, guanidoacetate, oxaloacetate, and serine in young adults; citrate, cyclohexanol, glutamine, lysine, pantothenate, pipecolate, threonine, and tyramine shared by middle-aged and elderly adults; and trimethylamine N-oxide and glucuronate associated with cardiovascular risk in all three cohorts. The urinary metabolome contains a metabolic signature of cardiovascular risk that differs across age groups. These signatures might serve to complement existing algorithms and improve the accuracy of cardiovascular risk prediction for personalized prevention. KEY MESSAGES: • Cardiovascular risk in the young and elderly is underestimated. • The urinary metabolome reflects cardiovascular risk across all age groups. • Six metabolites constitute a metabolic signature of cardiovascular risk in young adults. • Middle-aged and elderly adults share a cardiovascular risk metabolic signature. • TMAO and glucuronate levels reflect cardiovascular risk across all age groups.
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Affiliation(s)
- Paula J Martinez
- Department of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - Marta Agudiez
- Department of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - Dolores Molero
- CAI-RMN, Universidad Complutense de Madrid, Madrid, Spain
| | - Marta Martin-Lorenzo
- Department of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | | | - Aranzazu Santiago-Hernandez
- Department of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain
| | - Juan Manuel García-Segura
- CAI-RMN, Universidad Complutense de Madrid, Madrid, Spain
- Department of Biochemistry and Molecular Biology I, Universidad Complutense, Madrid, Spain
| | - Felipe Madruga
- Departament of Geriatrics, Hospital Virgen del Valle, SESCAM, Toledo, Spain
| | | | | | - Gema Ruiz-Hurtado
- Cardiorenal Translational Laboratory, Instituto de Investigación I+12, Hospital Universitario 12 de Octubre, Madrid, Spain
- CIBER-CV, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Maria G Barderas
- Department of Vascular Physiopathology, Hospital Nacional de Parapléjicos SESCAM, Toledo, Spain
| | - Fernando Vivanco
- Department of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain
- Department of Biochemistry and Molecular Biology I, Universidad Complutense, Madrid, Spain
| | - Luis M Ruilope
- Cardiorenal Translational Laboratory, Instituto de Investigación I+12, Hospital Universitario 12 de Octubre, Madrid, Spain
- CIBER-CV, Hospital Universitario 12 de Octubre, Madrid, Spain
- School of Doctoral Studies and Research, Universidad Europea de Madrid, Madrid, Spain
| | - Gloria Alvarez-Llamas
- Department of Immunology, Immunoallergy and Proteomics Laboratory, IIS-Fundación Jiménez Díaz, UAM, Avenida Reyes Católicos 2, 28040, Madrid, Spain.
- REDINREN, Madrid, Spain.
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