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Fu Y, Chen YS, Xia DY, Luo XD, Luo HT, Pan J, Ma WQ, Li JZ, Mo QY, Tu Q, Li MM, Zhao Y, Li Y, Huang YT, Chen ZX, Li ZJ, Bernard L, Dione M, Zhang YM, Miao K, Chen JY, Zhu SS, Ren J, Zhou LJ, Jiang XZ, Chen J, Lin ZP, Chen JP, Ye H, Cao QY, Zhu YW, Yang L, Wang X, Wang WC. Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model. NPJ Biofilms Microbiomes 2024; 10:25. [PMID: 38509085 PMCID: PMC10954633 DOI: 10.1038/s41522-024-00486-9] [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: 09/21/2023] [Accepted: 02/06/2024] [Indexed: 03/22/2024] Open
Abstract
Hyperuricemia (HUA) is a metabolic syndrome caused by abnormal purine metabolism. Although recent studies have noted a relationship between the gut microbiota and gout, whether the microbiota could ameliorate HUA-associated systemic purine metabolism remains unclear. In this study, we constructed a novel model of HUA in geese and investigated the mechanism by which Lactobacillus rhamnosus GG (LGG) could have beneficial effects on HUA. The administration of antibiotics and fecal microbiota transplantation (FMT) experiments were used in this HUA goose model. The effects of LGG and its metabolites on HUA were evaluated in vivo and in vitro. Heterogeneous expression and gene knockout of LGG revealed the mechanism of LGG. Multi-omics analysis revealed that the Lactobacillus genus is associated with changes in purine metabolism in HUA. This study showed that LGG and its metabolites could alleviate HUA through the gut-liver-kidney axis. Whole-genome analysis, heterogeneous expression, and gene knockout of LGG enzymes ABC-type multidrug transport system (ABCT), inosine-uridine nucleoside N-ribohydrolase (iunH), and xanthine permease (pbuX) demonstrated the function of nucleoside degradation in LGG. Multi-omics and a correlation analysis in HUA patients and this goose model revealed that a serum proline deficiency, as well as changes in Collinsella and Lactobacillus, may be associated with the occurrence of HUA. Our findings demonstrated the potential of a goose model of diet-induced HUA, and LGG and proline could be promising therapies for HUA.
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Affiliation(s)
- Yang Fu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yong-Song Chen
- Clinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Dai-Yang Xia
- School of Marine Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
| | - Xiao-Dan Luo
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Hao-Tong Luo
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Jie Pan
- Hunan Shihua Biotech Co. Ltd., Changsha, 410000, China
| | - Wei-Qing Ma
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Jin-Ze Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Qian-Yuan Mo
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Qiang Tu
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, Shandong, China
| | - Meng-Meng Li
- School of Agricultural Science and Engineering, Liaocheng University, Liaocheng, 252000, China
| | - Yue Zhao
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yu Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yi-Teng Huang
- Clinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Zhi-Xian Chen
- Clinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Zhen-Jun Li
- Key Laboratory of Carcinogenesis and Translational Research, Departments of Lymphoma, Radiology and Nuclear Medicine, Peking University Cancer Hospital and Institute, Beijing, 100080, China
| | - Lukuyu Bernard
- International Livestock Research Institute, Nairobi, 00100, Kenya
| | - Michel Dione
- International Livestock Research Institute, Nairobi, 00100, Kenya
| | - You-Ming Zhang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, Shandong, China
| | - Kai Miao
- Cancer Center, Faculty of Health Sciences, University of Macau, Macau, SAR, China
| | - Jian-Ying Chen
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Shan-Shan Zhu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Jie Ren
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
| | - Ling-Juan Zhou
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Xian-Zhi Jiang
- Microbiome Research Center, Moon (Guangzhou) Biotech Co. Ltd., Guangzhou, 510535, China
| | - Juan Chen
- Microbiome Research Center, Moon (Guangzhou) Biotech Co. Ltd., Guangzhou, 510535, China
| | - Zhen-Ping Lin
- Shantou Baisha Research Institute of Origin Species of Poultry and Stock, Shantou, 515041, China
| | - Jun-Peng Chen
- Shantou Baisha Research Institute of Origin Species of Poultry and Stock, Shantou, 515041, China
| | - Hui Ye
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Qing-Yun Cao
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Yong-Wen Zhu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Lin Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
| | - Xue Wang
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, Shandong, China.
| | - Wen-Ce Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
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Alqudah A, Qnais E, Wedyan M, Awali A, Bseiso Y, Gammoh O. Amino acid profiles: exploring their diagnostic and pathophysiological significance in hypertension. Mol Biol Rep 2024; 51:200. [PMID: 38270677 DOI: 10.1007/s11033-023-09107-8] [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: 10/31/2023] [Accepted: 12/05/2023] [Indexed: 01/26/2024]
Abstract
Hypertension, a major contributor to cardiovascular morbidity, is closely linked to amino acid metabolism. Amino acids, particularly branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs), may play pivotal roles in the pathogenesis and potential management of hypertension. This review investigated the relationships between amino acid profiles, specifically BCAAs and AAAs, and hypertension, and examined their potential as diagnostic and therapeutic targets. An in-depth analysis was conducted on studies highlighting the associations of specific amino acids such as arginine, glycine, proline, glutamine, and the BCAAs and AAAs with hypertension. BCAAs and AAAs, alongside other amino acids like arginine, glycine, and proline, showed significant correlations with hypertension. These amino acids influence multiple pathways including nitric oxide synthesis, vascular remodeling, and neurotransmitter production, among others. Distinct amino acid profiles were discerned between hypertensive and non-hypertensive individuals. Amino acid profiling, particularly the levels of BCAAs and AAAs, offers promising avenues in the diagnostic and therapeutic strategies for hypertension. Future studies are crucial to confirm these findings and to delineate amino acid-based interventions for hypertension treatment.
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Affiliation(s)
- Abdelrahim Alqudah
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmaceutical Sciences, The Hashemite University, Zarqa, Jordan.
| | - Esam Qnais
- Department of Biology and Biotechnology, Faculty of Science, The Hashemite University, Zarqa, Jordan
| | - Mohammed Wedyan
- Department of Biology and Biotechnology, Faculty of Science, The Hashemite University, Zarqa, Jordan
| | - Ayat Awali
- Department of Biology and Biotechnology, Faculty of Science, The Hashemite University, Zarqa, Jordan
| | - Yousra Bseiso
- Department of Biology and Biotechnology, Faculty of Science, The Hashemite University, Zarqa, Jordan
| | - Omar Gammoh
- Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Yarmouk University, Irbid, Jordan
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Joshi AD, McCormick N, Yokose C, Yu B, Tin A, Terkeltaub R, Merriman TR, Eliassen AH, Curhan GC, Raffield LM, Choi HK. Prediagnostic Glycoprotein Acetyl Levels and Incident and Recurrent Flare Risk Accounting for Serum Urate Levels: A Population-Based, Prospective Study and Mendelian Randomization Analysis. Arthritis Rheumatol 2023; 75:1648-1657. [PMID: 37043280 PMCID: PMC10524152 DOI: 10.1002/art.42523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/21/2023] [Accepted: 04/06/2023] [Indexed: 04/13/2023]
Abstract
OBJECTIVE To prospectively investigate population-based metabolomics for incident gout and reproduce the findings for recurrent flares, accounting for serum urate. METHODS We conducted a prediagnostic metabolome-wide analysis among 105,615 UK Biobank participants with nuclear magnetic resonance metabolomic profiling data (168 total metabolites) from baseline blood samples collected 2006-2010 in those without history of gout. We calculated hazard ratios (HRs) for incident gout, adjusted for gout risk factors, excluding and including serum urate levels, overall and according to fasting duration before sample collection. Potential causal effects were tested with 2-sample Mendelian randomization. Poisson regression was used to calculate rate ratios (RRs) for the association with recurrent flares among incident gout cases. RESULTS Correcting for multiple testing, 88 metabolites were associated with risk of incident gout (N = 1,303 cases) before serum urate adjustment, including glutamine and glycine (inversely), and lipids, branched-chain amino acids, and most prominently, glycoprotein acetyls (GlycA; P = 9.17 × 10-32 ). Only GlycA remained associated with incident gout following urate adjustment (HR 1.52 [95% confidence interval (95% CI) 1.22-1.88] between extreme quintiles); the HR increased progressively with fasting duration before sample collection, reaching 4.01 (95% CI 1.36-11.82) for ≥8 hours of fasting. Corresponding HRs per SD change in GlycA levels were 1.10 (95% CI 1.04-1.17) overall and 1.54 (95% CI 1.21-1.96) for ≥8 hours of fasting. GlycA levels were also associated with recurrent gout flares among incident gout cases (RR 1.90 [95% CI 1.27-2.85] between extreme quintiles) with larger associations with fasting. Mendelian randomization corroborated a potential causal role for GlycA on gout risk. CONCLUSION This prospective, population-based study implicates GlycA, a stable long-term biomarker reflecting neutrophil overactivity, in incident and recurrent gout flares (central manifestation from neutrophilic synovitis) beyond serum urate.
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Affiliation(s)
- Amit D. Joshi
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston MA USA
| | - Natalie McCormick
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston MA USA
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston MA USA
- Department of Medicine, Harvard Medical School, Boston MA USA
- Arthritis Research Canada, Vancouver BC Canada
| | - Chio Yokose
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston MA USA
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston MA USA
- Department of Medicine, Harvard Medical School, Boston MA USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston TX USA
| | - Adrienne Tin
- Department of Medicine, University of Mississippi Medical Center, Jackson MS USA
| | - Robert Terkeltaub
- San Diego VA Healthcare Service and University of California San Diego, La Jolla, CA
| | - Tony R. Merriman
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham AL USA
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - A. Heather Eliassen
- Departments of Nutrition and Epidemiology, Harvard TH Chan School of Public Health, Boston MA USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston MA USA
| | - Gary C. Curhan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston MA USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill NC USA
| | - Hyon K. Choi
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston MA USA
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston MA USA
- Department of Medicine, Harvard Medical School, Boston MA USA
- Arthritis Research Canada, Vancouver BC Canada
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Wu X, You C. The biomarkers discovery of hyperuricemia and gout: proteomics and metabolomics. PeerJ 2023; 11:e14554. [PMID: 36632144 PMCID: PMC9828291 DOI: 10.7717/peerj.14554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 11/21/2022] [Indexed: 01/09/2023] Open
Abstract
Background Hyperuricemia and gout are a group of disorders of purine metabolism. In recent years, the incidence of hyperuricemia and gout has been increasing, which is a severe threat to people's health. Several studies on hyperuricemia and gout in proteomics and metabolomics have been conducted recently. Some literature has identified biomarkers that distinguish asymptomatic hyperuricemia from acute gout or remission of gout. We summarize the physiological processes in which these biomarkers may be involved and their role in disease progression. Methodology We used professional databases including PubMed, Web of Science to conduct the literature review. This review addresses the current landscape of hyperuricemia and gout biomarkers with a focus on proteomics and metabolomics. Results Proteomic methods are used to identify differentially expressed proteins to find specific biomarkers. These findings may be suggestive for the diagnosis and treatment of hyperuricemia and gout to explore the disease pathogenesis. The identified biomarkers may be mediators of the link between hyperuricemia, gout and kidney disease, metabolic syndrome, diabetes and hypertriglyceridemia. Metabolomics reveals the main influential pathways through small molecule metabolites, such as amino acid metabolism, lipid metabolism, or other characteristic metabolic pathways. These studies have contributed to the discovery of Chinese medicine. Some traditional Chinese medicine compounds can improve the metabolic disorders of the disease. Conclusions We suggest some possible relationships of potential biomarkers with inflammatory episodes, complement activation, and metabolic pathways. These biomarkers are able to distinguish between different stages of disease development. However, there are relatively few proteomic as well as metabolomic studies on hyperuricemia and gout, and some experiments are only primary screening tests, which need further in-depth study.
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Affiliation(s)
- Xinghong Wu
- Laboratory Medicine Center, Lanzhou University Second Hospital, Lanzhou, Gansu, China
| | - Chongge You
- Laboratory Medicine Center, Lanzhou University Second Hospital, Lanzhou, Gansu, China
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Mphasha MH, Skaal L, Mothiba TM. Prevalence of overweight and obesity amongst patients with diabetes and their non-diabetic family members in Senwabarwana, Limpopo province, South Africa. S Afr Fam Pract (2004) 2022; 64:e1-e7. [PMID: 35695450 PMCID: PMC9210144 DOI: 10.4102/safp.v64i1.5409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/22/2021] [Accepted: 12/22/2021] [Indexed: 12/02/2022] Open
Abstract
Background Diabetes remains a public health concern and the second cause of mortality in South Africa. Family history of diabetes increases risk of developing diabetes. Obesity amongst patients is associated with comorbidity, whilst amongst non-diabetic family members it is associated with developing diabetes. This study aimed at determining prevalence of overweight and obesity amongst patients with diabetes and non-diabetic family members. Methods A quantitative, cross-sectional descriptive study was conducted on 200 patients and 200 non-diabetic family members were selected using systematic random sampling from rural clinics of Senwabarwana. Data were collected using close-ended questionnaires and anthropometric measurements. Body mass index (BMI) and waist circumference were measured and interpreted according to World Health Organization guidelines. Data were analysed using Statistical Package for Social Sciences, using both descriptive and inferential statistics. Chi-square test was used to calculate associations at 95% confidence interval where a p-value of < 0.05 was considered statistically significant. Results Most patients (75.5%) had comorbidities and hypertension was most prevalent (89.0%). Over half of the patients (57.0%) and 38.0% of family members were obese. Most patients (75.0%) and 58.0% of family members had abdominal obesity. Conclusion Patients with diabetes suffer from comorbidities are overweight and obese whilst evidence from various studies suggest that non-diabetic family members are at added risk of developing diabetes because of higher BMI and abdominal obesity. There is an urgent need to create a conducive environment that discourages sedentary behaviours through lifestyle modifications using the family centred approach, and involve family members in the care of patients.
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Affiliation(s)
- Mabitsela H Mphasha
- Department of Public Health, Faculty of Healthcare Sciences, University of Limpopo, Polokwane.
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Chen Y, Wang N, Dong X, Zhu J, Chen Y, Jiang Q, Fu C. Associations between serum amino acids and incident type 2 diabetes in Chinese rural adults. Nutr Metab Cardiovasc Dis 2021; 31:2416-2425. [PMID: 34158241 DOI: 10.1016/j.numecd.2021.05.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 04/23/2021] [Accepted: 05/06/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND AND AIMS Some amino acids (AAs) may be associated with type 2 diabetes (T2DM). This study aimed to determine the associations of individual AAs with the development of T2DM in rural Chinese adults. METHODS AND RESULTS A cohort study of 1199 individuals aged 18 years or older was conducted from 2006 to 2008 in a rural community of Deqing, China, a repeated survey was done in 2015 and data linkage with the electronic health records system was performed each year for identifying new T2DM cases. A high-performance liquid chromatography approach was used to measure the baseline serum concentrations of 15 AAs. Cox proportional hazards models were used to examine the associations between AAs and the risk of incident T2DM. A total of 98 new T2DM cases were identified during the follow-up of 12 years on average. Among 15 AAs, proline was associated with an increased risk of incident T2DM after adjusted for age, sex, body mass index, fasting plasma glucose, family history of T2DM, smoking status, alcohol use, and history of hypertension, the adjusted hazard ratio for 1-standard deviation increment was 1.20 (95% confidence interval: 1.00, 1.43). The association tended to be more marked in subjects younger than 60 years and overweight/obese subjects. Among participants without hypertension, proline and phenylalanine were associated with an increased risk of incident T2DM, while aspartic acid was associated with a decreased risk. CONCLUSION Serum proline was associated with the risk of incident T2DM in rural Chinese adults and might be a potential predictor.
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Affiliation(s)
- Yun Chen
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Na Wang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Xiaolian Dong
- Deqing County Center for Disease Control and Prevention, Deqing, 313299, China
| | - Jianfu Zhu
- Deqing County Center for Disease Control and Prevention, Deqing, 313299, China
| | - Yue Chen
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, K1G 5Z3, Canada
| | - Qingwu Jiang
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Chaowei Fu
- School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, 200032, China.
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Mahbub MH, Yamaguchi N, Hase R, Takahashi H, Ishimaru Y, Watanabe R, Saito H, Shimokawa J, Yamamoto H, Kikuchi S, Tanabe T. Plasma Branched-Chain and Aromatic Amino Acids in Relation to Hypertension. Nutrients 2020; 12:nu12123791. [PMID: 33322015 PMCID: PMC7764357 DOI: 10.3390/nu12123791] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 12/07/2020] [Accepted: 12/09/2020] [Indexed: 12/15/2022] Open
Abstract
Findings of the available studies regarding the roles of branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) in hypertension are inconsistent, conflicting and inconclusive. The purpose of this study was to explore and clarify the existence of any relationships of individual BCAAs and AAAs with hypertension with adjustments for potential relevant confounders. A total of 2805 healthy controls and 2736 hypertensive patients were included in the current analysis. The associations between individual amino acids and hypertension were explored by logistic regression analyses adjusted for potential confounding variables. Among the investigated amino acids, only the BCAAs showed consistently significant positive associations with hypertension in the adjusted models (p-trend < 0.05 to 0.001). However, compared with the corresponding lowest quartile of individual BCAAs, the positive association with hypertension remained significant only in the highest quartile (p < 0.01 to 0.001). We confirmed in a relatively large cohort of subjects that BCAAs, not AAAs, demonstrated consistent positive associations with hypertension. The results display the promising potential for the use of BCAAs as relevant and accessible biomarkers, and provide perspectives on interventions directed towards the reduction in plasma BCAA levels in the prevention and management of hypertension.
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Affiliation(s)
- M. H. Mahbub
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
- Correspondence: ; Tel.: +81-836-22-2231
| | - Natsu Yamaguchi
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
| | - Ryosuke Hase
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
| | - Hidekazu Takahashi
- Department of Public Health, Faculty of Veterinary Medicine, Okayama University of Science, Imabari, Ehime 794-8555, Japan;
| | - Yasutaka Ishimaru
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
| | - Rie Watanabe
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
| | - Hiroyuki Saito
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
| | - Junki Shimokawa
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
| | - Hiroshi Yamamoto
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki, Kanagawa 210-8681, Japan; (H.Y.); (S.K.)
| | - Shinya Kikuchi
- Institute for Innovation, Ajinomoto Co. Inc., Kawasaki, Kanagawa 210-8681, Japan; (H.Y.); (S.K.)
| | - Tsuyoshi Tanabe
- Department of Public Health and Preventive Medicine, Yamaguchi University Graduate School of Medicine, Ube, Yamaguchi 755-8505, Japan; (N.Y.); (R.H.); (Y.I.); (R.W.); (H.S.); (J.S.); (T.T.)
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Wang F, Sun L, Zong G, Gao X, Zhang H, Xiong Q, Huo S, Niu Z, Sun Q, Zeng R, Lin X. Associations of Amino Acid and Acylcarnitine Profiles With Incident Hyperuricemia in Middle-Aged and Older Chinese Individuals. Arthritis Care Res (Hoboken) 2020; 72:1305-1314. [PMID: 31233264 DOI: 10.1002/acr.24013] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 06/18/2019] [Indexed: 01/05/2023]
Abstract
OBJECTIVE Little is known about how metabolic perturbations are linked to hyperuricemia in the general population. Therefore we aimed to examine metabolomics profiles in relation to uric acid change and incident hyperuricemia. METHODS This study included 1,621 community-dwelling Chinese participants ages 50-70 years without hyperuricemia at baseline, with a mean duration of follow-up of 6 years. A total of 56 metabolites (22 amino acids and 34 acylcarnitines) at baseline were quantified by gas or liquid chromatography coupled to mass spectrometry. Annual change in uric acid was calculated, and incident hyperuricemia was defined as plasma uric acid >420 μmoles/liter in men and >360 μmoles/liter in women. RESULTS The mean ± SD annual change in uric acid was 9.6 ± 12.1 μmoles/liter and the incidence of hyperuricemia was 23.1% (375 of 1,621). After adjustment for conventional risk factors, 9 metabolites (cysteine, glutamine, phenylalanine, threonine, and long-chain acylcarnitines C14:1OH, C18, C18:2, C20, and C20:4) were significantly associated with uric acid change (Bonferroni corrected P < 0.05) and with incident hyperuricemia (relative risks ranged from 1.14 to 1.21 per SD increment of metabolites; P < 0.05). A network analysis showed significant associations between the module containing long-chain acylcarnitines and incident hyperuricemia. Moreover, levels of these 9 metabolites were specifically correlated with intake of foods, including red and processed meat or soy products. CONCLUSION Plasma cysteine, glutamine, phenylalanine, threonine, and long-chain acylcarnitines are positively associated with incident hyperuricemia. The levels of these metabolites may be partially driven by intakes of meat and soy products that are associated with hyperuricemia.
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Affiliation(s)
- Feijie Wang
- University of Chinese Academy of Sciences, Shanghai, China
| | - Liang Sun
- University of Chinese Academy of Sciences, Shanghai, China
| | - Geng Zong
- University of Chinese Academy of Sciences, Shanghai, China
| | - Xianfu Gao
- Chinese Academy of Sciences, Shanghai, China
| | | | - Quan Xiong
- University of Chinese Academy of Sciences, Shanghai, China
| | - Shaofeng Huo
- University of Chinese Academy of Sciences, Shanghai, China
| | - Zhenhua Niu
- University of Chinese Academy of Sciences, Shanghai, China
| | - Qi Sun
- Brigham and Women's Hospital, T. H. Chan School of Public Health, and Harvard Medical School, Boston, Massachusetts
| | - Rong Zeng
- Chinese Academy of Sciences and ShanghaiTech University, Shanghai, China
| | - Xu Lin
- University of Chinese Academy of Sciences, Shanghai, China
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Metabolomics and correlation network analyses of core biomarkers in type 2 diabetes. Amino Acids 2020; 52:1307-1317. [PMID: 32930872 DOI: 10.1007/s00726-020-02891-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 09/07/2020] [Indexed: 12/13/2022]
Abstract
The identification of metabolic pathways and the core metabolites provide novel molecular targets for the prevention and treatment of diseases. Diabetes is often accompanied with multiple metabolic disorders including hyperglycemia and dyslipidemia. Analysis of the variances of plasma metabolites is critical for identifying potential therapeutic targets for diabetes. In the current study, non-diabetic subjects with normal glucose tolerance and diabetics (age 40-60 years; n = 42 per group) were selected and plasma samples were analyzed by GC-MS for various metabolites profiling followed by network analysis. Our study identified 24 differential metabolites that were mainly enriched in protein synthesis, lipid and amino acid metabolism. Furthermore, we applied the correlation network analysis on these differential metabolites in fatty acid and amino acid metabolism and identified glycerol, alanine and serine as the hub metabolites in diabetic group. In addition, we measured the activities of enzymes in gluconeogenesis and amino acid metabolism and found significant higher activities of fructose 1,6-bisphosphatase, pyruvate carboxylase, lactate dehydrogenase, aspartate aminotransferase and alanine aminotransferase in diabetic patients. In contrast, the enzyme activities of glycolysis pathway (e.g., hexokinase, phosphofructokinase and pyruvate kinase) and TCA cycle (e.g., isocitrate dehydrogenase, succinate dehydrogenase, fumarate hydratase and malate dehydrogenase) were reduced in diabetes. Together, our studies showed that the linoleic acid and amino acid metabolism were the most affected metabolic pathways and glycerol, alanine and serine could play critical role in diabetes. The integration of network analysis and metabolic data could provide novel molecular targets or biomarkers for diabetes.
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Dietary intake of specific amino acids and liver status in subjects with nonalcoholic fatty liver disease: fatty liver in obesity (FLiO) study. Eur J Nutr 2020; 60:1769-1780. [PMID: 32857176 DOI: 10.1007/s00394-020-02370-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 08/19/2020] [Indexed: 12/18/2022]
Abstract
PURPOSE Identification of dietary factors involved in the development and progression of nonalcoholic fatty liver disease (NAFLD) is relevant to the current epidemics of the disease. Dietary amino acids appear to play a key role in the onset and progression of NAFLD. The aim of this study was to analyze potential associations between specific dietary amino acids and variables related to glucose metabolism and hepatic status in adults with overweight/obesity and NAFLD. METHODS One hundred and twelve individuals from the Fatty Liver in Obesity (FLiO) study were evaluated. Liver assessment was carried out by ultrasonography, magnetic resonance imaging and analysis of biochemical parameters. Dietary amino acid intake (aromatic amino acids (AAA); branched-chain amino acids (BCAA); sulfur amino acids (SAA)) was estimated by means of a validated 137-item food frequency questionnaire. RESULTS Higher consumption of these amino acids was associated with worse hepatic health. Multiple adjusted regression models confirmed that dietary AAA, BCAA and SAA were positively associated with liver fat content. AAA and BCAA were positively associated with liver iron concentration. Regarding ferritin levels, a positive association was found with BCAA. Dietary intake of these amino acids was positively correlated with glucose metabolism (glycated hemoglobin, triglyceride and glucose index) although the significance disappeared when potential confounders were included in the model. CONCLUSION These findings suggest that the consumption of specific dietary amino acids might negatively impact on liver status and, to a lesser extent on glucose metabolism in subjects with overweight/obesity and NAFLD. A control of specific dietary amino acid composition should be considered in the management of NAFLD and associated insulin resistance. NCT03183193; June 2017.
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Suzuki Y, Kido J, Matsumoto S, Shimizu K, Nakamura K. Associations among amino acid, lipid, and glucose metabolic profiles in childhood obesity. BMC Pediatr 2019; 19:273. [PMID: 31387549 PMCID: PMC6683574 DOI: 10.1186/s12887-019-1647-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 07/29/2019] [Indexed: 02/07/2023] Open
Abstract
Background Plasma-free amino acid profiles have been reported to correlate with obesity and glucose metabolism, and have been studied as potentially useful biomarkers of lifestyle-related diseases affecting metabolism in adulthood. However, knowledge of these relationships is lacking in children, despite the growing public health problem posed by childhood obesity. The aim of this study was to assess whether plasma-free amino acid profiles can serve as useful biomarkers of lifestyle-related diseases in children with obesity. Methods This retrospective study used the medical records of 26 patients (15 male, 11 female) aged 9 or 10 years presenting with moderate to severe obesity and hyperlipidemia between April 2015 and March 2017. A degree of obesity of 30% or more was defined as moderate or severe. Amino acid levels were compared between obese children with and without impaired glucose tolerance using a t-test or Mann–Whitney U test. In addition, the influence of factors such as intima media thickness, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, amino acids, and homeostasis model assessment-insulin resistance (HOMA-IR) were analyzed pairwise using Pearson’s correlation or Spearman’s rank correlation. Results HOMA-IR was positively correlated with valine, leucine (Leu), isoleucine, phenylalanine, tryptophan, methionine, threonine, lysine, alanine, tyrosine, glutamate (Glu), proline, arginine, ornithine, total free amino acids (all P < 0.01), and aspartate (P = 0.010). Moreover, blood uric acid levels were positively correlated with Leu (P = 0.005) and Glu (P = 0.019), and negatively correlated with serine, glycine, and asparagine (P = 0.007, P = 0.003, and P = 0.013, respectively). Conclusions Amino acid profile reflects impaired glucose tolerance and hyperuricemia at an early stage of obesity. It is therefore a useful marker to inform early intervention in children with obesity, as in adults. Electronic supplementary material The online version of this article (10.1186/s12887-019-1647-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yosuke Suzuki
- Department of Pediatrics, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto City, Kumamoto Prefecture, 860-8556, Japan
| | - Jun Kido
- Department of Pediatrics, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto City, Kumamoto Prefecture, 860-8556, Japan
| | - Shirou Matsumoto
- Department of Pediatrics, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto City, Kumamoto Prefecture, 860-8556, Japan.
| | - Kie Shimizu
- Department of Central Radiology, Kumamoto University Hospital, Kumamoto University, Kumamoto City, Kumamoto, Japan
| | - Kimitoshi Nakamura
- Department of Pediatrics, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto City, Kumamoto Prefecture, 860-8556, Japan
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12
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Relationship of reduced glomerular filtration rate with alterations in plasma free amino acids and uric acid evaluated in healthy control and hypertensive subjects. Sci Rep 2019; 9:10252. [PMID: 31311955 PMCID: PMC6635408 DOI: 10.1038/s41598-019-46598-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 07/02/2019] [Indexed: 12/22/2022] Open
Abstract
The potential association between altered levels of plasma free amino acids (PFAAs) and uric acid (UA) with estimated glomerular filtration rate (eGFR) remains unknown among patients with hypertension. A total of 2804 healthy controls and 2455 hypertensive patients were included in the current analysis. eGFR was defined as reduced when it was <60 ml/min/1.73 m2. The associations between reduced eGFR and individual PFAAs and UA in the healthy control and hypertension groups were explored by logistic regression analyses adjusted for potential confounding variables. Results show that UA had a significant positive association with reduced eGFR in both healthy control and hypertension groups (P < 0.001). Among the PFAAs, citrulline, glycine and phenylalanine showed significant positive associations with reduced eGFR in both healthy control (P < 0.01 to 0.001) and hypertension (P < 0.001) groups. Moreover, alanine, asparagine and methionine achieved significant positive associations with reduced eGFR only in the hypertension group (P < 0.01 to 0.001). Conversely, serine showed significant inverse associations with reduced eGFR in the hypertension group only (P < 0.001). Our findings provide first evidence for a strong relationship between distinct patterns of PFAAs and elevated UA with reduced eGFR in hypertension. The findings may appear useful in developing effective strategies for the prevention or early detection and treatment of declined kidney function in hypertension.
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Luo Y, Wang L, Liu XY, Chen X, Song YX, Li XH, Jiang C, Peng A, Liu JY. Plasma profiling of amino acids distinguishes acute gout from asymptomatic hyperuricemia. Amino Acids 2018; 50:1539-1548. [PMID: 30073607 DOI: 10.1007/s00726-018-2627-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 07/20/2018] [Indexed: 12/27/2022]
Abstract
Gout and hyperuricemia are highly prevalent metabolic diseases caused by high level of uric acid. Amino acids (AAs) involve in various biochemical processes including the biosynthesis of uric acid. However, the role of AAs in discriminating gout from hyperuricemia remains unknown. Here, we report that the plasma AAs profile can distinguish acute gout (AG) from asymptomatic hyperuricemia (AHU). We established an LC-MS/MS-based method to measure the plasma AAs without derivatization for the AG and AHU patients, and healthy controls. We found that the plasma profiling of AAs separated the AG patients from AHU patients and controls visually in both principal component analysis and orthogonal partial least-squares discriminant analysis (OPLS-DA) models. In addition, L-isoleucine, L-lysine, and L-alanine were suggested as the key mediators to distinguish the AG patients from AHU and control groups based on the S-plot analysis and variable importance in the projection values in the OPLS-DA models, volcano plot, and the receiver operating characteristic curves. In addition, the saturation of monosodium urate in the AA solutions at physiologically mimic status supported the changes in plasma AAs facilitating the precipitation of monosodium urate. This study suggests that L-isoleucine, L-lysine, and L-alanine could be the potential markers to distinguish the AG from AHU when the patients have similar blood levels of uric acid, providing new strategies for the prevention, treatment, and management of acute gout.
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Affiliation(s)
- Ying Luo
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Ling Wang
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Xin-Ying Liu
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Xiaolong Chen
- The School of Life Sciences and Technology, Shanghai Key Laboratory of Signaling and Disease Research, Tongji University, Shanghai, 200092, China
| | - Ya-Xiang Song
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Xin-Hua Li
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China
| | - Cizong Jiang
- The School of Life Sciences and Technology, Shanghai Key Laboratory of Signaling and Disease Research, Tongji University, Shanghai, 200092, China
| | - Ai Peng
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China.
| | - Jun-Yan Liu
- Center for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Mid Yanchang Rd, Shanghai, 200072, China.
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Lin W, Liu Z, Zheng X, Chen M, Gao D, Tian Z. High-salt diet affects amino acid metabolism in plasma and muscle of Dahl salt-sensitive rats. Amino Acids 2018; 50:1407-1414. [DOI: 10.1007/s00726-018-2615-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Accepted: 07/03/2018] [Indexed: 10/28/2022]
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Modulation of Free Amino Acid Profile in Healthy Humans Administered with Mastiha Terpenes. An Open-Label Trial. Nutrients 2018; 10:nu10060715. [PMID: 29865269 PMCID: PMC6024789 DOI: 10.3390/nu10060715] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 05/29/2018] [Accepted: 05/29/2018] [Indexed: 12/22/2022] Open
Abstract
We aimed to explore whether plasma-free amino acids are modified in response to terpenes administration in healthy humans. In this open-label, single-arm acute trial, seventeen healthy male volunteers were administered with a naturally occurring product of known terpenes-namely mastiha-after overnight fasting. Blood samples were collected at different time points before and after ingestion. We aimed at identifying and quantifying 60 free amino acids in plasma applying Gas Chromatography-Mass Spectrometry. A total of 24 free amino acids were quantified. Branched-chain valine significantly decreased 4 h post-ingestion, whereas proline decreased at 6 h and ornithine at 2 h, compared to 0 h. These novel findings demonstrate that free amino acids levels are modulated in response to terpenes intake in healthy subjects.
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