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Hussein M, Mirza I, Morsy M, Mostafa A, Hassan C, Masrur M, Bianco FM, Papasani S, Levitan I, Mahmoud AM. Comparison of Adiposomal Lipids between Obese and Non-Obese Individuals. Metabolites 2024; 14:464. [PMID: 39195560 DOI: 10.3390/metabo14080464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 08/06/2024] [Accepted: 08/14/2024] [Indexed: 08/29/2024] Open
Abstract
Our recent findings revealed that human adipose tissues (AT)-derived extracellular vesicles (adiposomes) vary in cargo among obese and lean individuals. The main objective of this study was to investigate the adiposomal lipid profiles and their correlation with cardiometabolic risk factors. AT samples were collected from obese subjects and lean controls and analyzed for their characteristics and lipid content. In addition, we measured the correlation between adiposomal lipid profiles and body composition, glucose and lipid metabolic profiles, brachial artery vasoreactivity, AT arteriolar flow-induced dilation, and circulating markers such as IL-6, C-reactive protein, and nitric oxide (NO). Compared to lean controls, adiposomes isolated from obese subjects were higher in number after normalization to AT volume. The two major lipid classes differentially expressed were lysophosphatidylcholine/phosphatidylcholine (LPC/PC) and ceramides (Cer). All lipids in the LPC/PC class were several-fold lower in adiposomes from obese subjects compared to lean controls, on top of which were PC 18:2, PC 18:1, and PC 36:3. Most ceramides were markedly upregulated in the obese group, especially Cer d37:0, Cer d18:0, and Cer d39:0. Regression analyses revealed associations between adiposomal lipid profiles and several cardiometabolic risk factors such as body mass index (BMI), fat percentage, insulin resistance, arteriolar and brachial artery vasoreactivity, NO bioavailability, and high-density lipoproteins (HDL-C). We conclude that the ability of adiposomes from obese subjects to disrupt cardiometabolic function could be partly attributed to the dysregulated lipid cargo.
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Affiliation(s)
- Mohamed Hussein
- Department of Pathology, University of Kentucky, Lexington, KY 40536, USA
| | - Imaduddin Mirza
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Mohammed Morsy
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Amro Mostafa
- Department of Pharmacology, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Chandra Hassan
- Department of Surgery, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Mario Masrur
- Department of Surgery, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Francesco M Bianco
- Department of Surgery, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Subbaiah Papasani
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Irena Levitan
- Department of Medicine, Division of Pulmonary and Critical Care Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
| | - Abeer M Mahmoud
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism, College of Medicine, University of Illinois Chicago, Chicago, IL 60612, USA
- Department of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois Chicago, Chicago, IL 60612, USA
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2
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Luo Y, Wen Y, Huang J, Chen B, Lv S, Qiu H, Li S, Liu S, Yang Q, He L, Yu Z, Zhao M, He M, Li D, Gu C. Matcha alleviates obesity by modulating gut microbiota and its metabolites. Curr Res Food Sci 2024; 9:100823. [PMID: 39253721 PMCID: PMC11381447 DOI: 10.1016/j.crfs.2024.100823] [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: 04/23/2024] [Revised: 08/02/2024] [Accepted: 08/13/2024] [Indexed: 09/11/2024] Open
Abstract
Matcha shows promise for diabetes, obesity, and gut microbiota disorders. Studies suggest a significant link between gut microbiota, metabolites, and obesity. Thus, matcha may have a positive impact on obesity by modulating gut microbiota and metabolites. This study used 16S rDNA sequencing and untargeted metabolomics to examine the cecal contents in mice. By correlation analysis, we explored the potential mechanisms responsible for the positive effects of matcha on obesity. The results indicated that matcha had a mitigating effect on the detrimental impacts of a high-fat diet (HFD) on multiple physiological indicators in mice, including body weight, adipose tissue weight, serum total cholesterol (TC), and low-density lipoprotein (LDL) levels, as well as glucose tolerance. Moreover, it was observed that matcha had an impact on the structural composition of gut microbiota and gut metabolites. Specifically, matcha was able to reverse the alterations in the abundance of certain obesity-improving bacteria, such as Alloprevotella, Ileibacterium, and Rikenella, as well as the abundance of obesity-promoting bacteria Romboutsia, induced by a HFD. Furthermore, matcha can influence the levels of metabolites, including formononetin, glutamic acid, pyroglutamic acid, and taurochenodeoxycholate, within the gastrointestinal tract. Additionally, matcha enhances caffeine metabolism and the HIF-1 signaling pathway in the KEGG pathway. The results of the correlation analysis suggest that formononetin, theobromine, 1,3,7-trimethyluric acid, and Vitamin C displayed negative correlation with both the obesity phenotype and microbiota known to exacerbate obesity, while demonstrating positive correlations with microbiota that alleviated obesity. However, glutamic acid, pyroglutamic acid, and taurochenodeoxycholate had the opposite effect. In conclusion, the impact of matcha on gut metabolites may be attributed to its modulation of the abundance of Alloprevotella, Ileibacterium, Rikenella, and Romboutsia within the gastrointestinal tract, thereby potentially contributing to the amelioration of obesity.
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Affiliation(s)
- Yadan Luo
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Yuhang Wen
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Jingrong Huang
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Baoting Chen
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Shuya Lv
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Hao Qiu
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Shuaibing Li
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- School of Traditional Chinese Medicine, Shenyang Pharmaceutical University, Shenyang, Liaoning, 110016, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Songwei Liu
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Qian Yang
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Lvqin He
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Zehui Yu
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Mingde Zhao
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Manli He
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
| | - Dong Li
- College of Bioengineering, Sichuan University of Science and Engineering, Yibin, 643002, China
| | - Congwei Gu
- Laboratory Animal Centre, Southwest Medical University, Luzhou, China
- Model Animal and Human Disease Research of Luzhou Key Laboratory, Southwest Medical University, Luzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southwest Medical University, Luzhou, China
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Campos JDO, Oliveira TLPSDA, Vitalis O, Pereira JG, Nogueira IDCR, Santos GCJ, Chikh K, Leandro CG, da Costa-Silva JH, Pirola L. Association between Childhood Overweight and Altered Concentrations of Circulating Amino Acids. Nutrients 2024; 16:1843. [PMID: 38931197 PMCID: PMC11206240 DOI: 10.3390/nu16121843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
(1) Background: Dysregulated serum amino acids (AA) are known to be associated with obesity and risk of Type 2 Diabetes (T2D) in adults, and recent studies support the same notion in the pubertal age. It is, however, unknown whether childhood overweight may already display alterations of circulating AA. (2) Methods: We used liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS)-targeted metabolomics to determine plasma concentrations of AA and AA-related molecules in 36 children aged 7-12 years with normal weight or overweight. Clinical and anthropometric parameters were measured. (3) Results: Overweight in children is associated with an altered AA profile, with increased branched-chain amino acids (BCAA) and decreased glycine levels, with no clinically manifested metabolic conditions. Moreover, z-BMI was positively and negatively correlated with BCAA and glycine levels, respectively, even after adjustment for age and gender. We also found a correlation between the AA profile and clinical parameters such as lipids profile and glycemia. (4) Conclusions: A pattern of low glycine, and increased BCAA is correlated to z-BMI, total cholesterol, and triglycerides in overweight but otherwise healthy children. Our data suggest that, in childhood overweight, AA disturbances may precede other clinical parameters, thus providing an early indicator for the later development of metabolic disease.
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Affiliation(s)
- Jéssica de Oliveira Campos
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
| | - Tafnes Laís Pereira Santos de Almeida Oliveira
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Oriane Vitalis
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
| | - Jéssica Gonzaga Pereira
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Isabella da Costa Ribeiro Nogueira
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Gabriela Carvalho Jurema Santos
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Karim Chikh
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
| | - Carol Gois Leandro
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - João Henrique da Costa-Silva
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Luciano Pirola
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
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Lu S, Wang Q, Lu H, Kuang M, Zhang M, Sheng G, Zou Y, Peng X. Lipids as potential mediators linking body mass index to diabetes: evidence from a mediation analysis based on the NAGALA cohort. BMC Endocr Disord 2024; 24:66. [PMID: 38730299 PMCID: PMC11083816 DOI: 10.1186/s12902-024-01594-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 04/30/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Body mass index (BMI) and lipid disorders are both known to be strongly associated with the development of diabetes, however, the indirect effect of lipid parameters in the BMI-related diabetes risk is currently unknown. This study aimed to investigate the mediating role of lipid parameters in the association of BMI with diabetes risk. METHODS We assessed the association of diabetes risk with BMI, as well as lipid parameters including high-density lipoprotein cholesterol(HDL-C), low-density lipoprotein cholesterol(LDL-CF and LDL-CS), triglycerides(TG), total cholesterol(TC), remnant cholesterol(RC), non-HDL-C, and combined indices of lipid parameters with HDL-C (RC/HDL-C ratio, TG/HDL-C ratio, TC/HDL-C ratio, non-HDL/HDL-C ratio, LDL/HDL-C ratio) using data from 15,453 subjects in the NAGALA project. Mediation models were used to explore the mediating role of lipid parameters in the association of BMI with diabetes risk, and mediation percentages were calculated for quantifying the strength of the indirect effects. Finally, receiver operating characteristic curve (ROC) analysis was used to compare the accuracy of BMI and BMI combined with lipid parameters in predicting incident diabetes. RESULTS Multivariate regression models, adjusted for confounding factors, demonstrated robust associations of lipid parameters, BMI, with diabetes risk, with the exception of TC, LDL-CF, LDL-CS, and non-HDL-C. Mediation analysis showed that lipid parameters except TC, LDL-CF, LDL-CS, and Non-HDL-C were involved in and mediated the association of BMI with diabetes risk, with the largest mediation percentage being the RC/HDL-C ratio, which was as high as 40%; it is worth mentioning that HDL-C and HDL-C-related lipid ratio parameters also play an important mediating role in the association between BMI and diabetes, with the mediator proportion being greater than 30%. Finally, based on the ROC results, we found that the prediction performance of all lipid parameters in the current study except TC was significantly improved when combined with BMI. CONCLUSION Our fresh findings suggested that lipid parameters partially mediated the association of BMI with diabetes risk; this result indicated that in the context of diabetes risk screening and disease management, it is important to not only monitor BMI but also pay attention to lipid parameters, particularly HDL-C and HDL-C-related lipid ratio parameters.
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Affiliation(s)
- Song Lu
- Department of Cardiology, The First Affiliated Hospital of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
| | - Qun Wang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, China
| | - Hengcheng Lu
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, China
| | - Maobin Kuang
- Department of Cardiology, The First Affiliated Hospital of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, China
| | - Min Zhang
- Department of Cardiology, The First Affiliated Hospital of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
- Jiangxi Hypertension Research Institute, Nanchang, 330006, China
| | - Guotai Sheng
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, China
| | - Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, 330006, China.
| | - Xiaoping Peng
- Department of Cardiology, The First Affiliated Hospital of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, 330006, China.
- Jiangxi Hypertension Research Institute, Nanchang, 330006, China.
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5
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Xing X, Sun Q, Wang R, Wang Y, Wang R. Impacts of glutamate, an exercise-responsive metabolite on insulin signaling. Life Sci 2024; 341:122471. [PMID: 38301875 DOI: 10.1016/j.lfs.2024.122471] [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: 11/28/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 02/03/2024]
Abstract
AIMS Disruption of the insulin signaling pathway leads to insulin resistance (IR). IR is characterized by impaired glucose and lipid metabolism. Elevated levels of circulating glutamate are correlated with metabolic indicators and may potentially predict the onset of metabolic diseases. Glutamate receptor antagonists have significantly enhanced insulin sensitivity, and improved glucose and lipid metabolism. Exercise is a well-known strategy to combat IR. The aims of our narrative review are to summarize preclinical and clinical findings to show the correlations between circulating glutamate levels, IR and metabolic diseases, discuss the causal role of excessive glutamate in IR and metabolic disturbance, and present an overview of the exercise-induced alteration in circulating glutamate levels. MATERIALS AND METHODS A literature search was conducted to identify studies on glutamate, insulin signaling, and exercise in the PubMed database. The search covered articles published from December 1955 to January 2024, using the search terms of "glutamate", "glutamic acid", "insulin signaling", "insulin resistance", "insulin sensitivity", "exercise", and "physical activity". KEY FINDINGS Elevated levels of circulating glutamate are correlated with IR. Excessive glutamate can potentially hinder the insulin signaling pathway through various mechanisms, including the activation of ectopic lipid accumulation, inflammation, and endoplasmic reticulum stress. Glutamate can also modify mitochondrial function through Ca2+ and induce purine degradation mediated by AMP deaminase 2. Exercise has the potential to decrease circulating levels of glutamate, which can be attributed to accelerated glutamate catabolism and enhanced glutamate uptake. SIGNIFICANCE Glutamate may act as a mediator in the exercise-induced improvement of insulin sensitivity.
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Affiliation(s)
- Xiaorui Xing
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China
| | - Qin Sun
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China
| | - Ruwen Wang
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China
| | - Yibing Wang
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, China.
| | - Ru Wang
- School of Exercise and Health, Shanghai University of Sport, Shanghai 200438, 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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7
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Islam SJ, Liu C, Mohandas AN, Rooney K, Nayak A, Mehta A, Ko YA, Kim JH, Sun YV, Dunbar SB, Lewis TT, Taylor HA, Uppal K, Jones DP, Quyyumi AA, Searles CD. Metabolomic signatures of ideal cardiovascular health in black adults. Sci Rep 2024; 14:1794. [PMID: 38245568 PMCID: PMC10799852 DOI: 10.1038/s41598-024-51920-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 01/11/2024] [Indexed: 01/22/2024] Open
Abstract
Plasma metabolomics profiling is an emerging methodology to identify metabolic pathways underlying cardiovascular health (CVH). The objective of this study was to define metabolomic profiles underlying CVH in a cohort of Black adults, a population that is understudied but suffers from disparate levels of CVD risk factors. The Morehouse-Emory Cardiovascular (MECA) Center for Health Equity study cohort consisted of 375 Black adults (age 53 ± 10, 39% male) without known CVD. CVH was determined by the AHA Life's Simple 7 (LS7) score, calculated from measured blood pressure, body mass index (BMI), fasting blood glucose and total cholesterol, and self-reported physical activity, diet, and smoking. Plasma metabolites were assessed using untargeted high-resolution metabolomics profiling. A metabolome wide association study (MWAS) identified metabolites associated with LS7 score after adjusting for age and sex. Using Mummichog software, metabolic pathways that were significantly enriched in metabolites associated with LS7 score were identified. Metabolites representative of these pathways were compared across clinical domains of LS7 score and then developed into a metabolomics risk score for prediction of CVH. We identified novel metabolomic signatures and pathways associated with CVH in a cohort of Black adults without known CVD. Representative and highly prevalent metabolites from these pathways included glutamine, glutamate, urate, tyrosine and alanine, the concentrations of which varied with BMI, fasting glucose, and blood pressure levels. When assessed in conjunction, these metabolites were independent predictors of CVH. One SD increase in the novel metabolomics risk score was associated with a 0.88 higher LS7 score, which translates to a 10.4% lower incident CVD risk. We identified novel metabolomic signatures of ideal CVH in a cohort of Black Americans, showing that a core group of metabolites central to nitrogen balance, bioenergetics, gluconeogenesis, and nucleotide synthesis were associated with CVH in this population.
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Affiliation(s)
- Shabatun J Islam
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Chang Liu
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Appesh N Mohandas
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Kimberly Rooney
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Aditi Nayak
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Anurag Mehta
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Yi-An Ko
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jeong Hwan Kim
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Yan V Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Biomedical Informatics, Emory University School of Medicine, Atlanta, GA, USA
- Atlanta VA Health Care System, Decatur, GA, USA
| | - Sandra B Dunbar
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA
| | - Tené T Lewis
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Herman A Taylor
- Department of Medicine, Morehouse School of Medicine, Atlanta, GA, USA
| | - Karan Uppal
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Arshed A Quyyumi
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Charles D Searles
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
- Atlanta VA Health Care System, Decatur, GA, USA.
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Metri NJ, Butt AS, Murali A, Steiner-Lim GZ, Lim CK. Normative Data on Serum and Plasma Tryptophan and Kynurenine Concentrations from 8089 Individuals Across 120 Studies: A Systematic Review and Meta-Analysis. Int J Tryptophan Res 2023; 16:11786469231211184. [PMID: 38034059 PMCID: PMC10687991 DOI: 10.1177/11786469231211184] [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: 07/18/2023] [Accepted: 10/15/2023] [Indexed: 12/02/2023] Open
Abstract
In this systematic review and meta-analysis, a normative dataset is generated from the published literature on the kynurenine pathway in control participants extracted from case-control and methodological validation studies. Study characteristics were mapped, and studies were evaluated in terms of analytical rigour and methodological validation. Meta-analyses of variance between types of instruments, sample matrices and metabolites were conducted. Regression analyses were applied to determine the relationship between metabolite, sample matrix, biological sex, participant age and study age. The grand mean concentrations of tryptophan in the serum and plasma were 60.52 ± 15.38 μM and 51.45 ± 10.47 μM, respectively. The grand mean concentrations of kynurenine in the serum and plasma were 1.96 ± 0.51 μM and 1.82 ± 0.54 μM, respectively. Regional differences in metabolite concentrations were observed across America, Asia, Australia, Europe and the Middle East. Of the total variance within the data, mode of detection (MOD) accounted for up to 2.96%, sample matrix up to 3.23%, and their interaction explained up to 1.53%; the latter of which was determined to be negligible. This review was intended to inform future empirical research and method development studies and successfully synthesised pilot data. The pilot data reported in this study will inform future precision medicine initiatives aimed at targeting the kynurenine pathway by improving the availability and quality of normative data.
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Affiliation(s)
- Najwa-Joelle Metri
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Ali S Butt
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
| | - Ava Murali
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, NSW, Australia
| | - Genevieve Z Steiner-Lim
- NICM Health Research Institute, Western Sydney University, Penrith, NSW, Australia
- Translational Health Research Institute (THRI), Western Sydney University, Penrith, NSW, Australia
| | - Chai K Lim
- Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, NSW, Australia
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9
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Singh S, Sarma DK, Verma V, Nagpal R, Kumar M. Unveiling the future of metabolic medicine: omics technologies driving personalized solutions for precision treatment of metabolic disorders. Biochem Biophys Res Commun 2023; 682:1-20. [PMID: 37788525 DOI: 10.1016/j.bbrc.2023.09.064] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/13/2023] [Accepted: 09/21/2023] [Indexed: 10/05/2023]
Abstract
Metabolic disorders are increasingly prevalent worldwide, leading to high rates of morbidity and mortality. The variety of metabolic illnesses can be addressed through personalized medicine. The goal of personalized medicine is to give doctors the ability to anticipate the best course of treatment for patients with metabolic problems. By analyzing a patient's metabolomic, proteomic, genetic profile, and clinical data, physicians can identify relevant diagnostic, and predictive biomarkers and develop treatment plans and therapy for acute and chronic metabolic diseases. To achieve this goal, real-time modeling of clinical data and multiple omics is essential to pinpoint underlying biological mechanisms, risk factors, and possibly useful data to promote early diagnosis and prevention of complex diseases. Incorporating cutting-edge technologies like artificial intelligence and machine learning is crucial for consolidating diverse forms of data, examining multiple variables, establishing databases of clinical indicators to aid decision-making, and formulating ethical protocols to address concerns. This review article aims to explore the potential of personalized medicine utilizing omics approaches for the treatment of metabolic disorders. It focuses on the recent advancements in genomics, epigenomics, proteomics, metabolomics, and nutrigenomics, emphasizing their role in revolutionizing personalized medicine.
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Affiliation(s)
- Samradhi Singh
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhouri, Bhopal, 462030, Madhya Pradesh, India
| | - Devojit Kumar Sarma
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhouri, Bhopal, 462030, Madhya Pradesh, India
| | - Vinod Verma
- Stem Cell Research Centre, Department of Hematology, Sanjay Gandhi Post-Graduate Institute of Medical Sciences, Lucknow, 226014, Uttar Pradesh, India
| | - Ravinder Nagpal
- Department of Nutrition and Integrative Physiology, College of Health and Human Sciences, Florida State University, Tallahassee, FL, 32306, USA
| | - Manoj Kumar
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhouri, Bhopal, 462030, Madhya Pradesh, India.
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10
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Teymoori F, Ahmadirad H, Jahromi MK, Mokhtari E, Farhadnejad H, Mohammadzadeh M, Babrpanjeh M, Shahrokhtabar T, Jamshidi S, Mirmiran P. Serum branched amino acids and the risk of all-cause mortality: a meta-analysis and systematic review. Amino Acids 2023; 55:1475-1486. [PMID: 37725184 DOI: 10.1007/s00726-023-03329-7] [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: 06/28/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023]
Abstract
Recently, the serum levels of branched-chain amino acids (BCAAs) have been considered as an indicator to evaluate health status and predict chronic diseases risk. This systematic review and meta-analysis aimed to assess the relationship between Serum BCAAs and the risk of all-cause mortality. We carried out a comprehensive and systematic search in various important databases, including PubMed, Scopus, and Web of Science databases to find the relevant studies published up to October 2022 with no language, design, or time limitation. We extracted the reported hazard ratio (HR) with 95% confidence interval (CI) and odds ratio (OR) with 95%CI in cohorts and case-control studies, respectively, and computed the log HR or OR and its standard error. Then, we used the random-effects model with inverse variance weighting method for the present meta-analysis, to calculate the pooled effect size. Ten observational studies, including nine cohort studies and one case-control study, were included in the present meta-analysis. The number of participants ranges from 53 to 26,711, with an age range of 18-99 years. During 6 months to 24 years of follow-up, 3599 deaths were ascertained. The pooled results indicated that there was no significant association between serum BCAAs (RR: 1.17; 95% CI 0.85-1.60), isoleucine (RR: 1.41; 95%CI 0.92-2.17), leucine (RR: 1.13; 95% CI 0.94-1.36), and valine (RR: 1.02; 95%CI 0.86-1.22) and all-cause mortality. Also, there was significant heterogeneity between studies for serum BCAAs (I2 = 74.1% and P-heterogeneity = 0.021), isoleucine (I2 = 89.4% and P-heterogeneity < 0.001), leucine (I2 = 87.8% and P-heterogeneity < 0.001), and valine (I2 = 86.6% and P-heterogeneity < 0.001). Our results suggested that the serum BCAAs and its components, including isoleucine, leucine, and valine, were not associated with the risk of all-cause mortality.
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Affiliation(s)
- Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Hamid Ahmadirad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Kazemi Jahromi
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Ebrahim Mokhtari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hossein Farhadnejad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Milad Mohammadzadeh
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Babrpanjeh
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Tahere Shahrokhtabar
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sanaz Jamshidi
- Imam Ali Hospital, Shiraz University of Medical Sciences, Kazerun, Iran.
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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11
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Lokhov PG, Balashova EE, Trifonova OP, Maslov DL, Plotnikova OA, Sharafetdinov KK, Nikityuk DB, Tutelyan VA, Ponomarenko EA, Archakov AI. Clinical Blood Metabogram: Application to Overweight and Obese Patients. Metabolites 2023; 13:798. [PMID: 37512504 PMCID: PMC10386708 DOI: 10.3390/metabo13070798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 06/23/2023] [Accepted: 06/24/2023] [Indexed: 07/30/2023] Open
Abstract
Recently, the concept of a mass spectrometric blood metabogram was introduced, which allows the analysis of the blood metabolome in terms of the time, cost, and reproducibility of clinical laboratory tests. It was demonstrated that the components of the metabogram are related groups of the blood metabolites associated with humoral regulation; the metabolism of lipids, carbohydrates, and amines; lipid intake into the organism; and liver function, thereby providing clinically relevant information. The purpose of this work was to evaluate the relevance of using the metabogram in a disease. To do this, the metabogram was used to analyze patients with various degrees of metabolic alterations associated with obesity. The study involved 20 healthy individuals, 20 overweight individuals, and 60 individuals with class 1, 2, or 3 obesity. The results showed that the metabogram revealed obesity-associated metabolic alterations, including changes in the blood levels of steroids, amino acids, fatty acids, and phospholipids, which are consistent with the available scientific data to date. Therefore, the metabogram allows testing of metabolically unhealthy overweight or obese patients, providing both a general overview of their metabolic alterations and detailing their individual characteristics. It was concluded that the metabogram is an accurate and clinically applicable test for assessing an individual's metabolic status in disease.
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Affiliation(s)
- Petr G Lokhov
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia
| | - Elena E Balashova
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia
| | - Oxana P Trifonova
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia
| | - Dmitry L Maslov
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia
| | - Oksana A Plotnikova
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia
| | - Khaider K Sharafetdinov
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia
| | - Dmitry B Nikityuk
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia
| | - Victor A Tutelyan
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Ustinsky Passage 2/14, 109240 Moscow, Russia
| | - Elena A Ponomarenko
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia
| | - Alexander I Archakov
- Institute of Biomedical Chemistry, 10 Building 8, Pogodinskaya Street, 119121 Moscow, Russia
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12
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Ge X, Su Z, Wang Y, Zhao X, Hou K, Zheng S, Zeng P, Shi Z, Hu S, Wang Y, Zhou M, Zhang J, Li X. Identifying the intervention mechanisms of polydatin in hyperuricemia model rats by using UHPLC-Q-Exactive Orbitrap mass spectroscopy metabonomic approach. Front Nutr 2023; 10:1117460. [PMID: 37187876 PMCID: PMC10176606 DOI: 10.3389/fnut.2023.1117460] [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: 12/06/2022] [Accepted: 03/30/2023] [Indexed: 05/17/2023] Open
Abstract
Introduction Polydatin is a biologically active compound found in mulberries, grapes, and Polygonum cuspidatum, and it has uric acid-lowering effects. However, its urate-lowering effects and the molecular mechanisms underlying its function require further study. Methods In this study, a hyperuricemic rat model was established to assess the effects of polydatin on uric acid levels. The body weight, serum biochemical indicators, and histopathological parameters of the rats were evaluated. A UHPLC-Q-Exactive Orbitrap mass spectrometry-based metabolomics approach was applied to explore the potential mechanisms of action after polydatin treatment. Results The results showed a trend of recovery in biochemical indicators after polydatin administration. In addition, polydatin could alleviate damage to the liver and kidneys. Untargeted metabolomics analysis revealed clear differences between hyperuricemic rats and the control group. Fourteen potential biomarkers were identified in the model group using principal component analysis and orthogonal partial least squares discriminant analysis. These differential metabolites are involved in amino acid, lipid, and energy metabolism. Of all the metabolites, the levels of L-phenylalanine, L-leucine, O-butanoylcarnitine, and dihydroxyacetone phosphate decreased, and the levels of L-tyrosine, sphinganine, and phytosphingosine significantly increased in hyperuricemic rats. After the administration of polydatin, the 14 differential metabolites could be inverted to varying degrees by regulating the perturbed metabolic pathway. Conclusion This study has the potential to enhance our understanding of the mechanisms of hyperuricemia and demonstrate that polydatin is a promising potential adjuvant for lowering uric acid levels and alleviating hyperuricemia-related diseases.
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Affiliation(s)
- Xueli Ge
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Zhenguo Su
- Affiliated Hospital of Binzhou Medical College, Yantai, China
| | - Yuhao Wang
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Xue Zhao
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Kaifei Hou
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Shuna Zheng
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Pengjiao Zeng
- Medical Research Center, Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
| | - Zhongqi Shi
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Senhao Hu
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Yuqing Wang
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Mengchen Zhou
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Jiayu Zhang
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Xiulian Li
- School of Pharmacy, Binzhou Medical University, Yantai, China
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13
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Dong Q, Sidra S, Gieger C, Wang-Sattler R, Rathmann W, Prehn C, Adamski J, Koenig W, Peters A, Grallert H, Sharma S. Metabolic Signatures Elucidate the Effect of Body Mass Index on Type 2 Diabetes. Metabolites 2023; 13:metabo13020227. [PMID: 36837846 PMCID: PMC9965667 DOI: 10.3390/metabo13020227] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/26/2023] [Accepted: 01/31/2023] [Indexed: 02/09/2023] Open
Abstract
Obesity plays an important role in the development of insulin resistance and diabetes, but the molecular mechanism that links obesity and diabetes is still not completely understood. Here, we used 146 targeted metabolomic profiles from the German KORA FF4 cohort consisting of 1715 participants and associated them with obesity and type 2 diabetes. In the basic model, 83 and 51 metabolites were significantly associated with body mass index (BMI) and T2D, respectively. Those metabolites are branched-chain amino acids, acylcarnitines, lysophospholipids, or phosphatidylcholines. In the full model, 42 and 3 metabolites were significantly associated with BMI and T2D, respectively, and replicate findings in the previous studies. Sobel mediation testing suggests that the effect of BMI on T2D might be mediated via lipids such as sphingomyelin (SM) C16:1, SM C18:1 and diacylphosphatidylcholine (PC aa) C38:3. Moreover, mendelian randomization suggests a causal relationship that BMI causes the change of SM C16:1 and PC aa C38:3, and the change of SM C16:1, SM C18:1, and PC aa C38:3 contribute to T2D incident. Biological pathway analysis in combination with genetics and mice experiments indicate that downregulation of sphingolipid or upregulation of phosphatidylcholine metabolism is a causal factor in early-stage T2D pathophysiology. Our findings indicate that metabolites like SM C16:1, SM C18:1, and PC aa C38:3 mediate the effect of BMI on T2D and elucidate their role in obesity related T2D pathologies.
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Affiliation(s)
- Qiuling Dong
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Faculty of Medicine, Ludwig-Maximilians-University München, 81377 Munich, Germany
| | - Sidra Sidra
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Ludwig-Maximilians-Universität München, 81377 Munich, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany
| | - Rui Wang-Sattler
- Institute of Translational Genomics, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
| | - Cornelia Prehn
- Metabolomics and Proteomics Core Facility, Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore 117597, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia
| | - Wolfgang Koenig
- German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, 81377 Munich, Germany
- Deutsches Herzzentrum München, Technische Universität München, 81377 Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, 89069 Ulm, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany
- Chair of Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University München, 81377 Munich, Germany
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- German Center for Diabetes Research (DZD), 85764 München-Neuherberg, Germany
- Correspondence: (H.G.); (S.S.)
| | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Chair of Food Chemistry and Molecular Sensory Science, Technical University of Munich, 85354 Freising-Weihenstephan, Germany
- Correspondence: (H.G.); (S.S.)
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14
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Rigamonti AE, Frigerio G, Caroli D, De Col A, Cella SG, Sartorio A, Fustinoni S. A Metabolomics-Based Investigation of the Effects of a Short-Term Body Weight Reduction Program in a Cohort of Adolescents with Obesity: A Prospective Interventional Clinical Study. Nutrients 2023; 15:529. [PMID: 36771236 PMCID: PMC9921209 DOI: 10.3390/nu15030529] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/10/2023] [Accepted: 01/14/2023] [Indexed: 01/20/2023] Open
Abstract
Metabolomics applied to assess the response to a body weight reduction program (BWRP) may generate valuable information concerning the biochemical mechanisms/pathways underlying the BWRP-induced cardiometabolic benefits. The aim of the present study was to establish the BWRP-induced changes in the metabolomic profile that characterizes the obese condition. In particular, a validated liquid chromatography-tandem mass spectrometry (LC-MS/MS) targeted metabolomic approach was used to determine a total of 188 endogenous metabolites in the plasma samples of a cohort of 42 adolescents with obesity (female/male = 32/10; age = 15.94 ± 1.33 year; body mass index standard deviation score (BMI SDS) = 2.96 ± 0.46) who underwent a 3-week BWRP, including hypocaloric diet, physical exercise, nutritional education, and psychological support. The BWRP was capable of significantly improving body composition (e.g., BMI SDS, p < 0.0001), glucometabolic homeostasis (e.g., glucose, p < 0.0001), and cardiovascular function (e.g., diastolic blood pressure, p = 0.016). A total of 64 metabolites were significantly reduced after the intervention (at least p < 0.05), including 53 glycerophospholipids (23 PCs ae, 21 PCs aa, and 9 lysoPCs), 7 amino acids (tyrosine, phenylalanine, arginine, citrulline, tryptophan, glutamic acid, and leucine), the biogenic amine kynurenine, 2 sphingomyelins, and (free) carnitine (C0). On the contrary, three metabolites were significantly increased after the intervention (at least p < 0.05)-in particular, glutamine, trans-4-hydroxyproline, and the octadecenoyl-carnitine (C18:1). In conclusion, when administered to adolescents with obesity, a short-term BWRP is capable of changing the metabolomic profile in the plasma.
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Affiliation(s)
- Antonello E. Rigamonti
- Department of Clinical Sciences and Community Health, University of Milan, 20129 Milan, Italy
| | - Gianfranco Frigerio
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6 Avenue Du Swing, L-4367 Belvaux, Luxembourg
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Diana Caroli
- Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-Endocrinological Research, 28824 Piancavallo-Verbania, Italy
| | - Alessandra De Col
- Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-Endocrinological Research, 28824 Piancavallo-Verbania, Italy
| | - Silvano G. Cella
- Department of Clinical Sciences and Community Health, University of Milan, 20129 Milan, Italy
| | - Alessandro Sartorio
- Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-Endocrinological Research, 28824 Piancavallo-Verbania, Italy
- Istituto Auxologico Italiano, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Experimental Laboratory for Auxo-Endocrinological Research, 20145 Milan, Italy
| | - Silvia Fustinoni
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
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15
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Yang L, Xu L, Li J, Wang H, Sun J, Yu Z, Zhao X, Zhao M, Xi B. The association of dietary glutamine supplementation with the development of high salt-induced hypertension in rats. Front Nutr 2022; 9:1011739. [DOI: 10.3389/fnut.2022.1011739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 10/28/2022] [Indexed: 11/16/2022] Open
Abstract
Glutamine supplementation has been reported to affect blood pressure (BP). However, its role in the progression of hypertension induced by high salt diet (HSD) has not been elucidated. Male normotensive Wistar rats were exposed to high salt diet and treated with different doses of glutamine supplementation. Rats aged 6 weeks were assigned to five groups: (1) Normal-salt diet (0.3% NaCl, NSD); (2) High-salt diet (8% NaCl, HSD); (3) High-salt + low-dose diet (8% NaCl, 0.5 g of L-glutamine/kg body weight, HSLGD); (4) High-salt + middle-dose diet (8% NaCl, 1.5 g of L-glutamine/kg body weight, HSMGD); and (5) High-salt + high-dose diet (8% NaCl, 2.5 g of L-glutamine/kg body weight, HSHGD). After supplementing different doses of glutamine to male Wistar 6-week-old rats fed with HSD for 7 weeks, we found no difference in body weight among groups. Importantly, we showed that dietary L-glutamine supplementation could prevent the development of hypertension in a dose-dependent manner [dramatically lowering systolic blood pressure (SBP) and slightly reducing diastolic blood pressure (DBP) of hypertensive rats, while the differences of DBP between groups did not reach statistical significance]. Our data further elucidated that dietary glutamine supplementation mildly alleviated the degree of left ventricular hypertrophy, including interventricular septal thickness (IVST) and left ventricular posterior wall thickness (LVPWT) in hypertensive rats. Together, our results offer evidence that the dietary uptake of glutamine may be associated with attenuating the development of high salt-induced hypertension and slightly alleviating the degree of left ventricular hypertrophy in hypertensive rats. Therefore, glutamine supplementation may act as a prospective dietary intervention for the treatment of hypertension.
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16
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Pan XF, Chen ZZ, Wang TJ, Shu X, Cai H, Cai Q, Clish CB, Shi X, Zheng W, Gerszten RE, Shu XO, Yu D. Plasma metabolomic signatures of obesity and risk of type 2 diabetes. Obesity (Silver Spring) 2022; 30:2294-2306. [PMID: 36161775 PMCID: PMC9633360 DOI: 10.1002/oby.23549] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 06/12/2022] [Accepted: 07/14/2022] [Indexed: 01/21/2023]
Abstract
OBJECTIVE The mechanisms linking obesity to type 2 diabetes (T2D) are not fully understood. This study aimed to identify obesity-related metabolomic signatures (MESs) and evaluated their relationships with incident T2D. METHODS In a nested case-control study of 2076 Chinese adults, 140 plasma metabolites were measured at baseline, linear regression was applied with the least absolute shrinkage and selection operator to identify MESs for BMI and waist circumference (WC), and conditional logistic regression was applied to examine their associations with T2D risk. RESULTS A total of 32 metabolites associated with BMI or WC were identified and validated, among which 14 showed positive associations and 3 showed inverse associations with T2D; 8 and 18 metabolites were selected to build MESs for BMI and WC, respectively. Both MESs showed strong linear associations with T2D: odds ratio (95% CI) comparing extreme quartiles was 4.26 (2.00-9.06) for BMI MES and 9.60 (4.22-21.88) for WC MES (both p-trend < 0.001). The MES-T2D associations were particularly evident among individuals with normal WC: odds ratio (95% CI) reached 6.41 (4.11-9.98) for BMI MES and 10.38 (6.36-16.94) for WC MES. Adding MESs to traditional risk factors and plasma glucose improved C statistics from 0.79 to 0.83 (p < 0.001). CONCLUSIONS Multiple obesity-related metabolites and MESs strongly associated with T2D in Chinese adults were identified.
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Affiliation(s)
- Xiong-Fei Pan
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zsu-Zsu Chen
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Thomas J. Wang
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Clary B. Clish
- Metabolomics Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Xu Shi
- Broad Institute of Massachusetts Institute of Technology and Harvard & Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Robert E. Gerszten
- Broad Institute of Massachusetts Institute of Technology and Harvard & Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
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Wang Y, Wu P, Huang Y, Ye Y, Yang X, Sun F, Ye YX, Lai Y, Ouyang J, Wu L, Li Y, Li Y, Zhao B, Wang Y, Liu G, Pan XF, Chen D, Pan A. BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women. Obesity (Silver Spring) 2022; 30:2044-2054. [PMID: 36046944 DOI: 10.1002/oby.23517] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 05/05/2022] [Accepted: 05/20/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). METHODS Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI-associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. RESULTS Of 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69-fold increased risk of GDM per 1-point increment (95% CI: 1.33-2.15). Furthermore, BMI-associated lipids might explain 66.4% of the relationship between BMI and GDM. CONCLUSIONS Higher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.
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Affiliation(s)
- Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yichao Huang
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, China
- Department of Toxicology, School of Public Health, Anhui Medical University, Hefei, China
| | - Yi Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Fengjiang Sun
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, China
| | - Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yue Li
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanqin Li
- Department of Obstetrics, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Bin Zhao
- Antenatal Care Clinics, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Yixin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiong-Fei Pan
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, China
| | - Da Chen
- School of Environment and Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Yang J, Li Y, Li S, Zhang Y, Feng R, Huang R, Chen M, Qian Y. Metabolic signatures in human follicular fluid identify lysophosphatidylcholine as a predictor of follicular development. Commun Biol 2022; 5:763. [PMID: 35906399 PMCID: PMC9334733 DOI: 10.1038/s42003-022-03710-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 07/12/2022] [Indexed: 12/07/2022] Open
Abstract
In order to investigate the metabolic characteristics of human follicular fluid (FF) and to reveal potential metabolic predictors of follicular development (FD) with clinical implications, we analyzed a total of 452 samples based on a two-stage study design. In the first stage, FF samples from both large follicles (LFs) and matched-small follicles (SFs) of 26 participants were analyzed with wide-spectrum targeted metabolomics. The metabolic signatures were described by multi-omics integration technology including metabolomic data and transcriptomic data. In the second stage, the potential biomarkers of FD were verified using enzyme-linked immunoassay with FF and blood serum from an independent 200 participants. We describe the FF metabolic signatures from ovarian follicles of different developmental stages. Lysophosphatidylcholine (LPC) can be used as a biomarker of FD and ovarian sensitivity, advancing the knowledge of metabolic regulation during FD and offering potential detection and therapeutic targets for follicle and oocyte health improvements in humans. A two-stage metabolomic analysis for human follicular fluid characteristics and predictors of follicular development yields metabolic signatures and proposes lysophosphatidylcholine (LPC) as a biomarker for follicular development.
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Affiliation(s)
- Jihong Yang
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Yangbai Li
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Suying Li
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Yan Zhang
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Ruizhi Feng
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, 211166, China.,The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Rui Huang
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Minjian Chen
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. .,State Key Laboratory of Reproductive Medicine, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Yun Qian
- Reproductive Medical Center of Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China.
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Meng L, Yang R, Wang D, Wu W, Shi J, Shen J, Dang Y, Fan G, Shi H, Dong J, Xi H, Yu P. Specific lysophosphatidylcholine and acylcarnitine related to sarcopenia and its components in older men. BMC Geriatr 2022; 22:249. [PMID: 35337292 PMCID: PMC8957177 DOI: 10.1186/s12877-022-02953-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 03/14/2022] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Metabolic profiling may provide insights into the pathogenesis and identification of sarcopenia; however, data on the metabolic basis of sarcopenia and muscle-related parameters among older adults remain incompletely understood. This study aimed to identify the associations of metabolites with sarcopenia and its components, and to explore metabolic perturbations in older men, who have a higher prevalence of sarcopenia than women. METHODS We simultaneously measured the concentrations of amino acids, carnitine, acylcarnitines, and lysophosphatidylcholines (LPCs) in serum samples from a cross-sectional study of 246 Chinese older men, using targeted metabolomics. Sarcopenia and its components, including skeletal muscle index (SMI), 6-m gait speed, and handgrip strength were assessed according to the algorithm of the Asian Working Group for Sarcopenia criteria. Associations were determined by univariate and multivariate analyses. RESULTS Sixty-five (26.4%) older men with sarcopenia and 181 (73.6%) without sarcopenia were included in the study. The level of isovalerylcarnitine (C5) was associated with the presence of sarcopenia and SMI. Regarding the overlapped metabolites for muscle parameters, among ten metabolites associated with muscle mass, six metabolites including leucine, octanoyl-L-carnitine (C8), decanoyl-L-carnitine (C10), dodecanoyl-L-carnitine (C12) and tetradecanoyl-L-carnitine (C14), and LPC18:2 were associated with handgrip strength, and three of which (C12, C14, and LPC18:2) were also associated with gait speed. Specifically, tryptophan was positively associated and glycine was negatively associated with handgrip strength, while glutamate was positively correlated with gait speed. Isoleucine, branched chain amino acids, and LPC16:0 were positively associated with SMI. Moreover, the levels of LPC 16:0,18:2 and 18:0 contributed significantly to the model discriminating between older men with and without sarcopenia, whereas there were no significant associations for other amino acids, acylcarnitines, and LPC lipids. CONCLUSIONS These results showed that specific and overlapped metabolites are associated with sarcopenic parameters in older men. This study highlights the potential roles of acylcarnitines and LPCs in sarcopenia and its components, which may provide valuable information regarding the pathogenesis and management of sarcopenia.
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Affiliation(s)
- Li Meng
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Ruiyue Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Daguang Wang
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Wenbin Wu
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Jing Shi
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Ji Shen
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Yamin Dang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Guoqing Fan
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Hong Shi
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Jun Dong
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China
| | - Huan Xi
- Department of Geriatrics, National Clinical Research Center for Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, Beijing, People's Republic of China
| | - Pulin Yu
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, 100730, Beijing, People's Republic of China.
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20
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Metabolomics prospect of obesity and metabolic syndrome; a systematic review. J Diabetes Metab Disord 2021; 21:889-917. [DOI: 10.1007/s40200-021-00917-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 10/06/2021] [Indexed: 02/06/2023]
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21
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Lépine G, Fouillet H, Rémond D, Huneau JF, Mariotti F, Polakof S. A Scoping Review: Metabolomics Signatures Associated with Animal and Plant Protein Intake and Their Potential Relation with Cardiometabolic Risk. Adv Nutr 2021; 12:2112-2131. [PMID: 34229350 PMCID: PMC8634484 DOI: 10.1093/advances/nmab073] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/22/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022] Open
Abstract
The dietary shift from animal protein (AP) to plant protein (PP) sources is encouraged for both environmental and health reasons. For instance, PPs are associated with lower cardiovascular and diabetes risks compared with APs, although the underlying mechanisms mostly remain unknown. Metabolomics is a valuable tool for globally and mechanistically characterizing the impact of AP and PP intake, given its unique ability to provide integrated signatures and specific biomarkers of metabolic effects through a comprehensive snapshot of metabolic status. This scoping review is aimed at gathering and analyzing the available metabolomics data associated with PP- and AP-rich diets, and discusses the metabolic effects underlying these metabolomics signatures and their potential implication for cardiometabolic health. We selected 24 human studies comparing the urine, plasma, or serum metabolomes associated with diets with contrasted AP and PP intakes. Among the 439 metabolites reported in those studies as able to discriminate AP- and PP-rich diets, 46 were considered to provide a robust level of evidence, according to a scoring system, especially amino acids (AAs) and AA-related products. Branched-chain amino acids, aromatic amino acids (AAAs), glutamate, short-chain acylcarnitines, and trimethylamine-N-oxide, which are known to be related to an increased cardiometabolic risk, were associated with AP-rich diets, whereas glycine (rather related to a reduced risk) was associated with PP-rich diets. Tricarboxylic acid (TCA) cycle intermediates and products from gut microbiota AAA degradation were also often reported, but the direction of their associations differed across studies. Overall, AP- and PP-rich diets result in different metabolomics signatures, with several metabolites being plausible candidates to explain some of their differential associations with cardiometabolic risk. Additional studies specifically focusing on protein type, with rigorous intake control, are needed to better characterize the associated metabolic phenotypes and understand how they could mediate differential AP and PP effects on cardiometabolic risk.
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Affiliation(s)
- Gaïa Lépine
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, Clermont-Ferrand, France,Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
| | - Hélène Fouillet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
| | - Didier Rémond
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, Clermont-Ferrand, France
| | | | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
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22
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Plasma Metabolomic Profiling in 1391 Subjects with Overweight and Obesity from the SPHERE Study. Metabolites 2021; 11:metabo11040194. [PMID: 33805234 PMCID: PMC8064361 DOI: 10.3390/metabo11040194] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 03/18/2021] [Accepted: 03/22/2021] [Indexed: 02/06/2023] Open
Abstract
Overweight and obesity have high prevalence worldwide and assessing the metabolomic profile is a useful approach to study their related metabolic processes. In this study, we assessed the metabolomic profile of 1391 subjects affected by overweight and obesity, enrolled in the frame of the SPHERE study, using a validated LC-MS/MS targeted metabolomic approach determining a total of 188 endogenous metabolites. Multivariable censored linear regression Tobit models, correcting for age, sex, and smoking habits, showed that 83 metabolites were significantly influenced by body mass index (BMI). Among compounds with the highest association, aromatic and branched chain amino acids (in particular tyrosine, valine, isoleucine, and phenylalanine) increased with the increment of BMI, while some glycerophospholipids decreased, in particular some lysophosphatidylcholines (as lysoPC a C18:2) and several acylalkylphosphatidylcholines (as PC ae C36:2, PC ae C34:3, PC ae C34:2, and PC ae C40:6). The results of this investigation show that several endogenous metabolites are influenced by BMI, confirming the evidence with the strength of a large number of subjects, highlighting differences among subjects with different classes of obesity and showing unreported associations between BMI and different phosphatidylcholines.
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23
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Wang F, Wang B, Chen X, Liu W, Wang G, Li X, Liu X, Li N, Zhang J, Yin T, Jing J, Chang X, Jin Y, Zhang Y, Zhao Y. Association Between Blood Pressure and Branched-Chain/Aromatic Amino Acid Excretion Rate in 24-Hour Urine Samples from Elderly Hypertension Patients. Diabetes Metab Syndr Obes 2021; 14:3965-3973. [PMID: 34531669 PMCID: PMC8439623 DOI: 10.2147/dmso.s324153] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/17/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Recently, the association between lifestyle-related diseases and free amino acids in the blood plasma-especially branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs)-has been highlighted. However, few studies have been carried out on 24-hour urine samples. Therefore, we aimed to explore the relationships between 24-hour urinary BCAAs and AAAs excretion rate and blood pressure (BP) in elderly patients with hypertension. METHODS AND RESULTS Each of the 322 elderly patients with hypertension completed an in-person questionnaire interview, underwent a physical examination, and provided a 24-hour urine specimen. We measured their BCAAs and AAAs excretion rate, and used multiple linear regression analysis with variable selection to construct models describing the relationships between their BCAAs and AAAs excretion rate and BP. After adjusted for age, gender, height, and weight, valine was inversely associated with both systolic blood pressure (SBP) (β: -0.232, 95% CI: -0.16, -0.006) and diastolic blood pressure (DBP) (β: -0.144, 95% CI: -0.089, -0.005). These findings were invariant even following adjustment for urine volume and drugs history, and Ile was positively associated with DBP (β: 0.170, 95% CI: 0.001, 0.066). CONCLUSION The data revealed that the excretion rate of 24-hour urinary BCAAs was closely related to BP in elderly hypertension patients, and these findings will provide new insights into the association between BACC metabolism and BP.
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Affiliation(s)
- Faxuan Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Binxia Wang
- Second People’s Hospital of Gansu Province, Lanzhou, Gansu, People’s Republic of China
| | - Xiyuan Chen
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Wanlu Liu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Guoqi Wang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Xiaoxia Li
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Xiuying Liu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Nan Li
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Jiaxing Zhang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Ting Yin
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Jinyun Jing
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Xiaoyu Chang
- Editorial Department of the Journal of Ningxia Medical University, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
| | - Yanan Jin
- Centers for Disease Control and Prevention in Ningxia, Yinchuan, Ningxia, People’s Republic of China
| | - Yuhong Zhang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia, People’s Republic of China
| | - Yi Zhao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, Ningxia, People’s Republic of China
- Correspondence: Yi Zhao School of Public Health and Management, Ningxia Medical UniversityTel +86 139 9501 1690Fax +86 951-6980144 Email
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Tobias DK, Hazra A, Lawler PR, Chandler PD, Chasman DI, Buring JE, Lee IM, Cheng S, Manson JE, Mora S. Circulating branched-chain amino acids and long-term risk of obesity-related cancers in women. Sci Rep 2020; 10:16534. [PMID: 33024201 PMCID: PMC7539150 DOI: 10.1038/s41598-020-73499-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/28/2020] [Indexed: 02/07/2023] Open
Abstract
Obesity is a risk factor for > 13 cancer sites, although it is unknown whether there is a common mechanism across sites. Evidence suggests a role for impaired branched-chain amino acid (BCAAs; isoleucine, leucine, valine) metabolism in obesity, insulin resistance, and immunity; thus, we hypothesized circulating BCAAs may be associated with incident obesity-related cancers. We analyzed participants in the prospective Women’s Health Study without a history of cancer at baseline blood collection (N = 26,711, mean age = 54.6 years [SD = 7.1]). BCAAs were quantified via NMR spectroscopy, log-transformed, and standardized. We used Cox proportional regression models adjusted for age, race, smoking, diet, alcohol, physical activity, menopausal hormone use, Body Mass Index (BMI), diabetes, and other risk factors. The endpoint was a composite of obesity-related cancers, defined per the International Agency for Research on Cancer 2016 report, over a median 24 years follow-up. Baseline BMI ≥ 30 kg/m2 compared with BMI 18.5–25.0 kg/m2 was associated with 23% greater risk of obesity-related cancers (n = 2751 events; multivariable HR 1.23, 95% CI 1.11–1.37). However, BCAAs were not associated with obesity-related cancers (multivariable HR per SD = 1.01 [0.97–1.05]). Results for individual BCAA metabolites suggested a modest association for leucine with obesity-related cancers (1.04 [1.00–1.08]), and no association for isoleucine or valine (0.99 [0.95–1.03] and 1.00 [0.96–1.04], respectively). Exploratory analyses of BCAAs with individual sites included positive associations between leucine and postmenopausal breast cancer, and isoleucine with pancreatic cancer. Total circulating BCAAs were unrelated to obesity-related cancer incidence although an association was observed for leucine with incident obesity-related cancer.
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Affiliation(s)
- Deirdre K Tobias
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA. .,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Aditi Hazra
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA
| | - Patrick R Lawler
- Peter Munk Cardiac Centre, University Health Network, and Heart and Stroke Richard Lewar Centre of Excellence in Cardiovascular Research, University of Toronto, Toronto, ON, Canada
| | - Paulette D Chandler
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA
| | - Julie E Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - I-Min Lee
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Susan Cheng
- Division of Cardiovascular Medicine, Department of Medicine, Center for Lipid Metabolomics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Barbra Streisand Women's Heart Center and Smidt Heart Institute at Cedars-Sinai, Los Angeles, CA, USA
| | - JoAnn E Manson
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Mary Horrigan Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Samia Mora
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, 02215, USA.,Division of Cardiovascular Medicine, Department of Medicine, Center for Lipid Metabolomics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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Wang B, Luo Y, Su R, Yao D, Hou Y, Liu C, Du R, Jin Y. Impact of feeding regimens on the composition of gut microbiota and metabolite profiles of plasma and feces from Mongolian sheep. J Microbiol 2020; 58:472-482. [PMID: 32323198 DOI: 10.1007/s12275-020-9501-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 02/17/2020] [Accepted: 02/25/2020] [Indexed: 01/05/2023]
Abstract
Mongolian sheep are an indigenous ruminant raised for wool and meat production in China. The gut microbial community plays an important role in animal performance and metabolism. The objective of this study was to investigate the effects of two feeding regimens on the diversity and composition of gut microbiota and metabolite profiles of feces and plasma from Mongolian sheep. A total of 20 Mongolian sheep were assigned to one of two feeding regimens: free grazing (FG) and barn confinement (BC). When samples were collected, the average live weights of the sheep were 31.28 ± 1.56 kg and 34.18 ± 1.87 kg for the FG and BC groups, respectively. At the genus level, the FG group showed higher levels of Bacteroides, RC9_gut_group, Alistipes, Phocaeicola, Barnesiella, and Oscillibacter, and lower levels of Succinivibrio, Treponema, and Prevotella, compared to the BC group. The butyric acid content in feces was lower in the FG group (P > 0.05). Higher levels of palmitic acid, oleic acid, alpha-linolenic acid, L-carnitine, L-citrulline, and L-histidine, and lower levels of L-tyrosine, L-phenylalanine, and L-kynurenine were found in the plasma of the FG sheep. Moreover, there were substantial associations between several gut microbiota genera and alterations in feces and plasma metabolites especially those involved in the metabolism of butyric acid, linolenic acid, and L-tyrosine. Feeding regimens can not only influence the composition of gut microbiota, but also alter metabolic homeaostasis in sheep.
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Affiliation(s)
- Bohui Wang
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China.,Ordos City Food Inspection and Testing Center, Ordos, 017000, P. R. China
| | - Yulong Luo
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China
| | - Rina Su
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China
| | - Duo Yao
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China
| | - Yanru Hou
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China
| | - Chang Liu
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China
| | - Rui Du
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China
| | - Ye Jin
- College of Food Science and Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, P. R. China.
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Yoon HS, Jeong Yang J, Rivera ES, Shu XO, Xiang YB, Calcutt MW, Cai Q, Zhang X, Li H, Gao YT, Zheng W, Yu D. Urinary metabolites and risk of coronary heart disease: A prospective investigation among urban Chinese adults. Nutr Metab Cardiovasc Dis 2020; 30:467-473. [PMID: 31831367 PMCID: PMC7044070 DOI: 10.1016/j.numecd.2019.10.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 10/28/2019] [Accepted: 10/29/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND AND AIMS Studies have linked several metabolites to the risk of coronary heart disease (CHD) among Western populations, but prospective studies among Asian populations on the metabolite-CHD association remain limited. METHODS AND RESULTS We evaluated the association of urinary metabolites with CHD risk among Chinese adults in a nested case-control study of 275 incident cases and 275 matched controls (127 pairs of men and 148 pairs of women). Fifty metabolites were measured by a predefined metabolomics panel and adjusted using urinary creatinine. Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs). After adjusting for traditional CHD risk factors, urinary tryptophan showed a positive association with incident CHD: OR (95% CI) for the highest vs. lowest quartiles was 2.02 (1.15-3.56) among all study participants (p-trend = 0.02). The tryptophan-CHD association was more evident among individuals with dyslipidemia than among those without the condition (OR [95% CI] for the highest vs. lowest quartiles = 3.90 [1.86-8.19] and 0.74 [0.26-2.06], respectively; p-interaction<0.01). Other metabolites did not show significant associations with CHD risk among all study participants. However, a positive association of methionine with CHD risk was observed only among women (OR [95% CI] for the highest vs. lowest quartiles = 2.77 [1.17-6.58]; p-interaction = 0.03), and an inverse association of inosine with CHD risk was observed only among men (OR [95% CI] for the highest vs. lowest quartiles = 0.29 [0.11-0.81]; p-interaction = 0.04). CONCLUSION Elevated urinary tryptophan may be related to CHD risk among Chinese adults, especially for those with dyslipidemia.
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Affiliation(s)
- Hyung-Suk Yoon
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jae Jeong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emilio S Rivera
- Department of Biochemistry and Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Marion W Calcutt
- Department of Biochemistry and Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Honglan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Danxia Yu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
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Lipidomic Profile Revealed the Association of Plasma Lysophosphatidylcholines with Adolescent Obesity. BIOMED RESEARCH INTERNATIONAL 2019; 2019:1382418. [PMID: 31915678 PMCID: PMC6930386 DOI: 10.1155/2019/1382418] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Accepted: 11/21/2019] [Indexed: 12/12/2022]
Abstract
Objective The human lipidomic profile reflects lipid metabolism, including the early phase of pathophysiological changes associated with diseases. An investigation of the association between the plasma lipidomic profile and adolescent obesity might provide new insights into the biological mechanisms of obesity. Therefore, we aimed to investigate the association of the plasma lipidome with obesity in Chinese adolescents using lipidomics. Methods Using a combination of liquid chromatography and electrospray ionization tandem mass spectrometry, we quantified 328 lipid species from 24 lipid classes and subclasses in 100 male adolescents aged 14–16 years who were categorized into four groups: (1) normal weight with traditional normal clinical plasma lipid levels (NN); (2) normal weight with traditional abnormal clinical plasma lipid levels (NA); (3) obese with traditional normal clinical plasma lipid levels (ON); and (4) obese with traditional abnormal clinical plasma lipid levels (OA). The concentrations of all the lipid species were compared between obese and normal-weight adolescents at different traditional clinical plasma lipid levels using the Kruskal–Wallis test followed by the Mann–Whitney U test. A partial least squares discriminant analysis (PLS-DA) was applied to select lipids with a significant ability to discriminate adolescent obesity. Results The lipidomic profile distinguished obese adolescents from normal-weight subjects. Regardless of whether traditional clinical plasma lipid levels were normal or abnormal, we observed a significant reduction in the levels of five lysophosphatidylcholines (LPC) species (LPC18:2, LPC18:1, LPC20:2, LPC20:1, and LPC20:0) in the obese group compared with the normal-weight group (difference = −31.29% to −13.19%; P=9.91 × 10−5 to 2.28 × 10−2). The ability of these five LPC species to discriminate adolescent obesity was confirmed in the PLS-DA model. Conclusions The findings provided evidence for the association of some LPC species with adolescent obesity. The discriminatory effects of five LPC species were identified between normal-weight and obese adolescents, independent of traditional clinical plasma lipid levels. These results will provide a basis for validation in subsequent studies.
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28
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Durante W. The Emerging Role of l-Glutamine in Cardiovascular Health and Disease. Nutrients 2019; 11:nu11092092. [PMID: 31487814 PMCID: PMC6769761 DOI: 10.3390/nu11092092] [Citation(s) in RCA: 95] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 08/29/2019] [Accepted: 08/30/2019] [Indexed: 12/29/2022] Open
Abstract
Emerging evidence indicates that l-glutamine (Gln) plays a fundamental role in cardiovascular physiology and pathology. By serving as a substrate for the synthesis of DNA, ATP, proteins, and lipids, Gln drives critical processes in vascular cells, including proliferation, migration, apoptosis, senescence, and extracellular matrix deposition. Furthermore, Gln exerts potent antioxidant and anti-inflammatory effects in the circulation by inducing the expression of heme oxygenase-1, heat shock proteins, and glutathione. Gln also promotes cardiovascular health by serving as an l-arginine precursor to optimize nitric oxide synthesis. Importantly, Gln mitigates numerous risk factors for cardiovascular disease, such as hypertension, hyperlipidemia, glucose intolerance, obesity, and diabetes. Many studies demonstrate that Gln supplementation protects against cardiometabolic disease, ischemia-reperfusion injury, sickle cell disease, cardiac injury by inimical stimuli, and may be beneficial in patients with heart failure. However, excessive shunting of Gln to the Krebs cycle can precipitate aberrant angiogenic responses and the development of pulmonary arterial hypertension. In these instances, therapeutic targeting of the enzymes involved in glutaminolysis such as glutaminase-1, Gln synthetase, glutamate dehydrogenase, and amino acid transaminase has shown promise in preclinical models. Future translation studies employing Gln delivery approaches and/or glutaminolysis inhibitors will determine the success of targeting Gln in cardiovascular disease.
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Affiliation(s)
- William Durante
- Department of Medical Pharmacology and Physiology, University of Missouri, Columbia, MO 65212, USA.
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Rangel-Huerta OD, Pastor-Villaescusa B, Gil A. Are we close to defining a metabolomic signature of human obesity? A systematic review of metabolomics studies. Metabolomics 2019; 15:93. [PMID: 31197497 PMCID: PMC6565659 DOI: 10.1007/s11306-019-1553-y] [Citation(s) in RCA: 138] [Impact Index Per Article: 27.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Accepted: 06/01/2019] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Obesity is a disorder characterized by a disproportionate increase in body weight in relation to height, mainly due to the accumulation of fat, and is considered a pandemic of the present century by many international health institutions. It is associated with several non-communicable chronic diseases, namely, metabolic syndrome, type 2 diabetes mellitus (T2DM), cardiovascular diseases (CVD), and cancer. Metabolomics is a useful tool to evaluate changes in metabolites due to being overweight and obesity at the body fluid and cellular levels and to ascertain metabolic changes in metabolically unhealthy overweight and obese individuals (MUHO) compared to metabolically healthy individuals (MHO). OBJECTIVES We aimed to conduct a systematic review (SR) of human studies focused on identifying metabolomic signatures in obese individuals and obesity-related metabolic alterations, such as inflammation or oxidative stress. METHODS We reviewed the literature to identify studies investigating the metabolomics profile of human obesity and that were published up to May 7th, 2019 in SCOPUS and PubMed through an SR. The quality of reporting was evaluated using an adapted of QUADOMICS. RESULTS Thirty-three articles were included and classified according to four types of approaches. (i) studying the metabolic signature of obesity, (ii) studying the differential responses of obese and non-obese subjects to dietary challenges (iii) studies that used metabolomics to predict weight loss and aimed to assess the effects of weight loss interventions on the metabolomics profiles of overweight or obese human subjects (iv) articles that studied the effects of specific dietary patterns or dietary compounds on obesity-related metabolic alterations in humans. CONCLUSION The present SR provides state-of-the-art information about the use of metabolomics as an approach to understanding the dynamics of metabolic processes involved in human obesity and emphasizes metabolic signatures related to obesity phenotypes.
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Affiliation(s)
- Oscar Daniel Rangel-Huerta
- Faculty of Medicine, Department of Nutrition, University of Oslo, Oslo, Norway
- Norwegian Veterinary Institute, Oslo, Norway
| | - Belén Pastor-Villaescusa
- LMU - Ludwig-Maximilians-Universität München, Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Centre for Environmental Health, Neuherberg, Germany
| | - Angel Gil
- Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology "José Mataix, Centre for Biomedical Research, University of Granada", Granada, Spain.
- Instituto de Investigación Biosanitaria ibs-Granada, Granada, Spain.
- Physiopathology of Obesity and Nutrition Networking Biomedical Research Centre (CIBEROBN), Madrid, Spain.
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30
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Thoen RU, Barther NN, Schemitt E, Bona S, Fernandes S, Coral G, Marroni NP, Tovo C, Guedes RP, Porawski M. Zinc supplementation reduces diet-induced obesity and improves insulin sensitivity in rats. Appl Physiol Nutr Metab 2018; 44:580-586. [PMID: 30339765 DOI: 10.1139/apnm-2018-0519] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Rates of obesity have been growing at alarming rates, compromising the health of the world population. Thus, the search for interventions that address the metabolic repercussions of obesity are necessary. Here we evaluated the metabolic and antioxidant effects of zinc and branched-chain amino acids (BCAA) supplementation on obese rats. Male Wistar rats were fed either a high-fat/high-fructose diet (HFD) or a standard diet (SD) for 19 weeks. From the fifteenth week until the end of the experiment, HFD- and SD-fed rats received zinc (6 mg/kg) or BCAA (750 mg/kg) supplementation. Body weight, abdominal fat, lipid profile, blood glucose, insulin, leptin, and hepatic transaminases were evaluated. In the liver, superoxide dismutase and catalase activities and lipid peroxidation were also analyzed. HFD-fed animals showed increased weight gain, abdominal fat pad, plasma insulin, leptin, and triglycerides levels in comparison with SD-fed rats. Zinc supplementation reduced all these parameters, suggesting a beneficial role for the treatment of obesity. BCAA, on the other hand, did not show any beneficial effect. Liver antioxidant enzymes and hepatic transaminases plasma levels did not change among groups. Lipid peroxidation was higher in HFD-fed rats and was not reverted by zinc or BCAA supplementation. In conclusion, zinc supplementation may be a useful strategy for the treatment of the metabolic dysfunction associated with obesity.
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Affiliation(s)
- Rutiane Ullmann Thoen
- a Postgraduate Program in Medicine: Hepatology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil
| | - Nathaniele Nebel Barther
- a Postgraduate Program in Medicine: Hepatology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil
| | - Elizângela Schemitt
- b Postgraduate Program in Medical Sciences, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS 90035-007, Brazil
| | - Sílvia Bona
- b Postgraduate Program in Medical Sciences, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS 90035-007, Brazil
| | - Sabrina Fernandes
- a Postgraduate Program in Medicine: Hepatology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil
| | - Gabriela Coral
- a Postgraduate Program in Medicine: Hepatology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil
| | - Norma Possa Marroni
- b Postgraduate Program in Medical Sciences, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS 90035-007, Brazil
| | - Cristiane Tovo
- a Postgraduate Program in Medicine: Hepatology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil
| | - Renata Padilha Guedes
- c Postgraduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Rua Sarmento Leite, 245, Porto Alegre, RS 90050-170, Brazil.,d Postgraduate Program in Biosciences, UFCSPA, Porto Alegre, RS 90050-170, Brazil
| | - Marilene Porawski
- a Postgraduate Program in Medicine: Hepatology, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, RS 90050-170, Brazil.,d Postgraduate Program in Biosciences, UFCSPA, Porto Alegre, RS 90050-170, Brazil
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Franceschi C, Garagnani P, Parini P, Giuliani C, Santoro A. Inflammaging: a new immune-metabolic viewpoint for age-related diseases. Nat Rev Endocrinol 2018; 14:576-590. [PMID: 30046148 DOI: 10.1038/s41574-018-0059-4] [Citation(s) in RCA: 1549] [Impact Index Per Article: 258.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Ageing and age-related diseases share some basic mechanistic pillars that largely converge on inflammation. During ageing, chronic, sterile, low-grade inflammation - called inflammaging - develops, which contributes to the pathogenesis of age-related diseases. From an evolutionary perspective, a variety of stimuli sustain inflammaging, including pathogens (non-self), endogenous cell debris and misplaced molecules (self) and nutrients and gut microbiota (quasi-self). A limited number of receptors, whose degeneracy allows them to recognize many signals and to activate the innate immune responses, sense these stimuli. In this situation, metaflammation (the metabolic inflammation accompanying metabolic diseases) is thought to be the form of chronic inflammation that is driven by nutrient excess or overnutrition; metaflammation is characterized by the same mechanisms underpinning inflammaging. The gut microbiota has a central role in both metaflammation and inflammaging owing to its ability to release inflammatory products, contribute to circadian rhythms and crosstalk with other organs and systems. We argue that chronic diseases are not only the result of ageing and inflammaging; these diseases also accelerate the ageing process and can be considered a manifestation of accelerated ageing. Finally, we propose the use of new biomarkers (DNA methylation, glycomics, metabolomics and lipidomics) that are capable of assessing biological versus chronological age in metabolic diseases.
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Affiliation(s)
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden
- Laboratory of Cell Biology, Rizzoli Orthopaedic Institute, Bologna, Italy
- CNR Institute of Molecular Genetics, Unit of Bologna, Bologna, Italy
| | - Paolo Parini
- Clinical Chemistry, Department of Laboratory Medicine, Karolinska Institutet at Huddinge University Hospital, Stockholm, Sweden
| | - Cristina Giuliani
- Laboratory of Molecular Anthropology and Centre for Genome Biology, Department of Biological, Geological and Environmental Sciences (BiGeA), University of Bologna, Bologna, Italy.
- Interdepartmental Centre 'L. Galvani' (CIG), University of Bologna, Bologna, Italy.
| | - Aurelia Santoro
- Department of Experimental, Diagnostic and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
- Interdepartmental Centre 'L. Galvani' (CIG), University of Bologna, Bologna, Italy
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Association of serum metabolites with impaired fasting glucose/diabetes and traditional risk factors for metabolic disease in Chinese adults. Clin Chim Acta 2018; 487:60-65. [PMID: 30237081 DOI: 10.1016/j.cca.2018.09.028] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 09/14/2018] [Accepted: 09/16/2018] [Indexed: 12/12/2022]
Abstract
BACKGROUND Hyperglycemia has become a major health problem worldwide. We investigated the associations of serum metabolite levels with hyperglycemia (impaired fasting glucose/diabetes) and traditional risk factors for metabolic disease. METHODS A total of 563 Chinese adults were categorized into hyperglycemia and control groups. Associations of serum metabolites, including branched-chain amino acids (BCAAs), aromatic amino acids (AAAs), glutamine (Gln), glutamic acid (Glu), Gln/Glu ratio, 25-hydroxyvitamin D, and lysophosphatidylcholine (LPC), with hyperglycemia and traditional risk factors of metabolic disease were investigated using our targeted metabolomics method. RESULTS Participants with impaired fasting glucose or diabetes exhibited markedly lower levels of Gln/Glu and unsaturated LPC and higher levels of Glu and BCAAs. Gln/Glu ratio, unsaturated LPC, and 25-hydroxyvitamin D were positively correlated with protective factors, while saturated LPC, BCAAs, AAAs, and Glu revealed close correlations with traditional risk factors. In the logistic regression, low Gln/Glu ratio and high BCAA level were independent risk factors for hyperglycemia; the odds ratios (95% confidence interval) of the highest quartile compared with the lowest quartile were 0.499 (0.274-0.910) and 2.588 (1.313-5.102) (P < 0.05), respectively. CONCLUSIONS Gln/Glu ratio, BCAAs, and LPC were significantly related to hyperglycemia development and risk factors for metabolic disease.
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Zhang Y, Zhang H, Chang D, Guo F, Pan H, Yang Y. Metabolomics approach by 1H NMR spectroscopy of serum reveals progression axes for asymptomatic hyperuricemia and gout. Arthritis Res Ther 2018; 20:111. [PMID: 29871692 PMCID: PMC5989453 DOI: 10.1186/s13075-018-1600-5] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 04/19/2018] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Gout is a metabolic disease and is the most common form of inflammatory arthritis affecting men. However, the pathogenesis of gout is still uncertain, and novel biomarkers are needed for early prediction and diagnosis of gout. The aim of this study was to develop a systemic metabolic profile of patients with asymptomatic hyperuricemia (HUA) and gout by using a metabolomics approach, and find potential pathophysiological mechanisms of and markers of predisposition to gout. METHODS Serum samples were collected from 149 subjects, including 50 patients with HUA, 49 patients with gout and 50 healthy controls. 1H nuclear magnetic resonance (NMR) spectroscopy combined with principal components analysis and orthogonal partial least squares-discriminant analysis were used to distinguish between samples from patients and healthy controls. Clinical measurements and pathway analysis were also performed to contribute to understanding of the metabolic change. RESULTS By serum metabolic profiling, 21 metabolites including lipids and amino acids were significantly altered in patients with HUA or gout. The levels of identified biomarkers together with clinical data showed apparent alteration trends in patients with HUA or gout compared to healthy individuals. According to pathway analysis, three and five metabolic pathways were remarkably perturbed in patients with HUA or gout, respectively. These enriched pathways involve in lipid metabolism, carbohydrate metabolism, amino acids metabolism and energy metabolism. CONCLUSIONS Taken together, we identified the biomarker signature for HUA and gout, which provides biochemical insights into the metabolic alteration, and identified a continuous progressive axis of development from HUA to gout.
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Affiliation(s)
- Yannan Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Ningxia Medical University, Yinchuan, 750004 China
| | - Huanzhen Zhang
- Department of Obstetrics and Gynecology, Tai’an Hospital of Traditional Chinese Medicine, Tai’an, 271000 China
| | - Dong Chang
- Department of Clinical Laboratory, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201301 China
| | - Fuchuan Guo
- Department of Nutrition and Food Safety, School of Public Health, Fujian Medical University, Fuzhou, 350122 China
| | - Hongzhi Pan
- Department of Sanitary Inspection, Shanghai University of Medical & Health Sciences, Shanghai, 201318 China
| | - Yuexin Yang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, 100050 China
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