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Knol MGE, Wulfmeyer VC, Müller RU, Rinschen MM. Amino acid metabolism in kidney health and disease. Nat Rev Nephrol 2024:10.1038/s41581-024-00872-8. [PMID: 39198707 DOI: 10.1038/s41581-024-00872-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/03/2024] [Indexed: 09/01/2024]
Abstract
Amino acids form peptides and proteins and are therefore considered the main building blocks of life. The kidney has an important but under-appreciated role in the synthesis, degradation, filtration, reabsorption and excretion of amino acids, acting to retain useful metabolites while excreting potentially harmful and waste products from amino acid metabolism. A complex network of kidney transporters and enzymes guides these processes and moderates the competing concentrations of various metabolites and amino acid products. Kidney amino acid metabolism contributes to gluconeogenesis, nitrogen clearance, acid-base metabolism and provision of fuel for tricarboxylic acid cycle and urea cycle intermediates, and is thus a central hub for homeostasis. Conversely, kidney disease affects the levels and metabolism of a variety of amino acids. Here, we review the metabolic role of the kidney in amino acid metabolism and describe how different diseases of the kidney lead to aberrations in amino acid metabolism. Improved understanding of the metabolic and communication routes that are affected by disease could provide new mechanistic insights into the pathogenesis of kidney diseases and potentially enable targeted dietary or pharmacological interventions.
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Affiliation(s)
- Martine G E Knol
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Roman-Ulrich Müller
- Department II of Internal Medicine and Center for Molecular Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), Cologne, Germany
| | - Markus M Rinschen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark.
- III Department of Medicine, University Medical Center Hamburg Eppendorf, Hamburg, Germany.
- Aarhus Institute of Advanced Studies, Aarhus University, Aarhus, Denmark.
- Hamburg Center for Kidney Health, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
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Al-Sammarraie SHA, Ayaz-Güner Ş, Acar MB, Şimşek A, Sınıksaran BS, Bozalan HD, Özkan M, Saraymen R, Dündar M, Özcan S. Mesenchymal stem cells from adipose tissue prone to lose their stemness associated markers in obesity related stress conditions. Sci Rep 2024; 14:19702. [PMID: 39181924 PMCID: PMC11344827 DOI: 10.1038/s41598-024-70127-w] [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: 03/06/2024] [Accepted: 08/13/2024] [Indexed: 08/27/2024] Open
Abstract
Obesity is a health problem characterized by large expansion of adipose tissue. During this expansion, genotoxic stressors can be accumulated and negatively affect the mesenchymal stem cells (MSCs) of adipose tissue. Due to the oxidative stress generated by these genotoxic stressors, senescence phenotype might be observed in adipose tissue MSCs. Senescent MSCs lose their proliferations and differentiation properties and secrete senescence-associated molecules to their niche thus triggering senescence for the rest of the tissue. Accumulation of senescent cells in adipose tissue results in decreased tissue regeneration and functional impairment not only in the close vicinity but also in the other tissues. Here we hypothesized that declined tissue regeneration might be associated with loss of stemness markers in MSCs population. We analyzed the expression of several stemness-associated genes of in vitro cultured MSCs originated from adipose tissue of high-fat diet and normal diet mice models. Since the heterogenous MSCs population covers a small percentage of the pluripotent stem cells, which have roles in proliferation and tissue regeneration, we measured the percentage of these cells via TRA-1-60 pluripotent state antigen. Additionally, by conducting a shotgun proteomic approach using LC-MS/MS, whole cell proteome of the adipose tissue MSCs of high-fat diet and normal diet mice were analyzed and identified proteins were evaluated via gene ontology and PPI network analysis. MSCs of obese mice showed senescent phenotype and altered cell cycle distribution due to a hostile environment with oxidative stress in adipose tissue where they reside. Additionally, the number of pluripotent markers expressing cells declined in the MSC population of the high-fat diet mice. Gene expression analysis evidenced the loss of stemness with a decrease in the expression of stemness-associated genes. Of the proteomic comparison of the normal and the high-fat diet group, MSCs revealed that stemness-associated molecules were decreased while inflammation and senescence-associated phenotypes emerged in obese mice MSCs. Our results showed us that the MSCs of adipose tissue may lose their stemness properties due to obesity-associated stress conditions.
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Affiliation(s)
- Sura Hilal Ahmed Al-Sammarraie
- Genome and Stem Cell Center, GENKÖK, Erciyes University, Kayseri, Turkey
- Department of Experimental Medicine, Luigi Vanvitelli Campania University, 80138, Naples, Italy
| | - Şerife Ayaz-Güner
- Department of Molecular Biology and Genetics, Izmir Institute of Technology, Izmir, Turkey
| | - Mustafa Burak Acar
- Genome and Stem Cell Center, GENKÖK, Erciyes University, Kayseri, Turkey
- Department of Experimental Medicine, Luigi Vanvitelli Campania University, 80138, Naples, Italy
- Department of Biology, Faculty of Science, Erciyes University, Kayseri, Turkey
| | - Ahmet Şimşek
- Genome and Stem Cell Center, GENKÖK, Erciyes University, Kayseri, Turkey
| | | | | | - Miray Özkan
- Genome and Stem Cell Center, GENKÖK, Erciyes University, Kayseri, Turkey
| | - Recep Saraymen
- Department of Biochemistry, Private Tekden Hospital, Kayseri, Turkey
| | - Munis Dündar
- Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Turkey
| | - Servet Özcan
- Genome and Stem Cell Center, GENKÖK, Erciyes University, Kayseri, Turkey.
- Department of Biology, Faculty of Science, Erciyes University, Kayseri, Turkey.
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Wu J, Palasantzas V, Andreu-Sánchez S, Plösch T, Leonard S, Li S, Bonder MJ, Westra HJ, van Meurs J, Ghanbari M, Franke L, Zhernakova A, Fu J, Hoogerland JA, Zhernakova DV. Epigenome-wide association study on the plasma metabolome suggests self-regulation of the glycine and serine pathway through DNA methylation. Clin Epigenetics 2024; 16:104. [PMID: 39138531 PMCID: PMC11323446 DOI: 10.1186/s13148-024-01718-7] [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: 12/14/2023] [Accepted: 07/29/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND The plasma metabolome reflects the physiological state of various biological processes and can serve as a proxy for disease risk. Plasma metabolite variation, influenced by genetic and epigenetic mechanisms, can also affect the cellular microenvironment and blood cell epigenetics. The interplay between the plasma metabolome and the blood cell epigenome remains elusive. In this study, we performed an epigenome-wide association study (EWAS) of 1183 plasma metabolites in 693 participants from the LifeLines-DEEP cohort and investigated the causal relationships in DNA methylation-metabolite associations using bidirectional Mendelian randomization and mediation analysis. RESULTS After rigorously adjusting for potential confounders, including genetics, we identified five robust associations between two plasma metabolites (L-serine and glycine) and three CpG sites located in two independent genomic regions (cg14476101 and cg16246545 in PHGDH and cg02711608 in SLC1A5) at a false discovery rate of less than 0.05. Further analysis revealed a complex bidirectional relationship between plasma glycine/serine levels and DNA methylation. Moreover, we observed a strong mediating role of DNA methylation in the effect of glycine/serine on the expression of their metabolism/transport genes, with the proportion of the mediated effect ranging from 11.8 to 54.3%. This result was also replicated in an independent population-based cohort, the Rotterdam Study. To validate our findings, we conducted in vitro cell studies which confirmed the mediating role of DNA methylation in the regulation of PHGDH gene expression. CONCLUSIONS Our findings reveal a potential feedback mechanism in which glycine and serine regulate gene expression through DNA methylation.
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Affiliation(s)
- Jiafei Wu
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Victoria Palasantzas
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
- Department of Pediatrics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Sergio Andreu-Sánchez
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
- Department of Pediatrics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Torsten Plösch
- Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Perinatal Neurobiology Research Group, Department of Pediatrics, School of Medicine and Health Sciences, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany
| | - Sam Leonard
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Shuang Li
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Marc Jan Bonder
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Harm-Jan Westra
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Joyce van Meurs
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lude Franke
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Jingyuan Fu
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
- Department of Pediatrics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands
| | - Joanne A Hoogerland
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
- Department of Pediatrics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
| | - Daria V Zhernakova
- Department of Genetics, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
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Trischitta V, Antonucci A, Adamski J, Prehn C, Menzaghi C, Marucci A, Di Paola R. GALNT2 expression is associated with glucose control and serum metabolites in patients with type 2 diabetes. Acta Diabetol 2024; 61:1007-1013. [PMID: 38627282 PMCID: PMC11329529 DOI: 10.1007/s00592-024-02280-7] [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: 12/22/2023] [Accepted: 03/19/2024] [Indexed: 08/09/2024]
Abstract
AIMS Aim of this study was to investigate in type 2 diabetes whether expression level of GALNT2, a positive modulator of insulin sensitivity, is associated with a metabolic signature. METHODS Five different metabolite families, including acylcarnitines, aminoacids, biogenic amines, phospholipids and sphingolipids were investigated in fasting serum of 70 patients with type 2 diabetes, by targeted metabolomics. GALNT2 expression levels were measured in peripheral white blood cells by RT-PCR. The association between GALNT2 expression and serum metabolites was assessed using false discovery rate followed by stepwise selection and, finally, multivariate model including several clinical parameters as confounders. The association between GALNT2 expression and the same clinical parameters was also investigated. RESULTS GALNT2 expression was independently correlated with HbA1c levels (P value = 0.0052), a finding that is the likely consequence of the role of GALNT2 on insulin sensitivity. GALNT2 expression was also independently associated with serum levels of the aminoacid glycine (P value = 0.014) and two biogenic amines phenylethylamine (P value = 0.0065) and taurine (P value = 0.0011). The association of GALNT2 expression with HbA1c was not mediated by these three metabolites. CONCLUSIONS Our data indicate that in type 2 diabetes the expression of GALNT2 is associated with several serum metabolites. This association needs to be further investigated to understand in depth its role in mediating the effect of GALNT2 on insulin sensitivity, glucose control and other clinical features in people with diabetes.
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Affiliation(s)
- Vincenzo Trischitta
- Research Unit of Diabetes and Endocrine Diseases, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013, San Giovanni Rotondo, Foggia, Italy.
- Department of Experimental Medicine, Sapienza University, 00161, Rome, Italy.
| | - Alessandra Antonucci
- Research Unit of Diabetes and Endocrine Diseases, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013, San Giovanni Rotondo, Foggia, Italy
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - 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
| | - Cornelia Prehn
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Claudia Menzaghi
- Research Unit of Diabetes and Endocrine Diseases, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Antonella Marucci
- Research Unit of Diabetes and Endocrine Diseases, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013, San Giovanni Rotondo, Foggia, Italy
| | - Rosa Di Paola
- Research Unit of Diabetes and Endocrine Diseases, Fondazione IRCCS Casa Sollievo Della Sofferenza, 71013, San Giovanni Rotondo, Foggia, Italy.
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Li J, Wang W, Liu F, Qiu L, Ren Y, Li M, Li W, Gao F, Zhang J. Genetically predicted 1091 blood metabolites and 309 metabolite ratios in relation to risk of type 2 diabetes: a Mendelian randomization study. Front Genet 2024; 15:1356696. [PMID: 39050247 PMCID: PMC11266066 DOI: 10.3389/fgene.2024.1356696] [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: 12/16/2023] [Accepted: 06/21/2024] [Indexed: 07/27/2024] Open
Abstract
Background Metabolic dysregulation represents a defining characteristic of Type 2 diabetes (T2DM). Nevertheless, there remains an absence of substantial evidence establishing a direct causal link between circulating blood metabolites and the promotion or prevention of T2DM. In addressing this gap, we employed Mendelian randomization (MR) analysis to investigate the potential causal association between 1,091 blood metabolites, 309 metabolite ratios, and the occurrence of T2DM. Methods Data encompassing single-nucleotide polymorphisms (SNPs) for 1,091 blood metabolites and 309 metabolite ratios were extracted from a Canadian Genome-wide association study (GWAS) involving 8,299 participants. To evaluate the causal link between these metabolites and Type 2 diabetes (T2DM), multiple methods including Inverse Variance Weighted (IVW), Weighted Median, MR Egger, Weighted Mode, and Simple Mode were employed. p-values underwent correction utilizing False Discovery Rates (FDR). Sensitivity analyses incorporated Cochran's Q test, MR-Egger intercept test, MR-PRESSO, Steiger test, leave-one-out analysis, and single SNP analysis. The causal effects were visualized via Circos plot, forest plot, and scatter plot. Furthermore, for noteworthy, an independent T2DM GWAS dataset (GCST006867) was utilized for replication analysis. Metabolic pathway analysis of closely correlated metabolites was conducted using MetaboAnalyst 5.0. Results The IVW analysis method utilized in this study revealed 88 blood metabolites and 37 metabolite ratios demonstrating a significant causal relationship with T2DM (p < 0.05). Notably, strong causal associations with T2DM were observed for specific metabolites: 1-linoleoyl-GPE (18:2) (IVW: OR:0.930, 95% CI: 0.899-0.962, p = 2.16 × 10-5), 1,2-dilinoleoyl-GPE (18:2/18:2) (IVW: OR:0.942, 95% CI: 0.917-0.968, p = 1.64 × 10-5), Mannose (IVW: OR:1.133, 95% CI: 1.072-1.197, p = 1.02 × 10-5), X-21829 (IVW: OR:1.036, 95% CI: 1.036-1.122, p = 9.44 × 10-5), and Phosphate to mannose ratio (IVW: OR:0.870, 95% CI: 0.818-0.926, p = 1.29 × 10-5, FDR = 0.008). Additionally, metabolic pathway analysis highlighted six significant pathways associated with T2DM development: Valine, leucine and isoleucine biosynthesis, Phenylalanine metabolism, Glycerophospholipid metabolism, Alpha-Linolenic acid metabolism, Sphingolipid metabolism, and Alanine, aspartate, and glutamate metabolism. Conclusion This study identifies both protective and risk-associated metabolites that play a causal role in the development of T2DM. By integrating genomics and metabolomics, it presents novel insights into the pathogenesis of T2DM. These findings hold potential implications for early screening, preventive measures, and treatment strategies for T2DM.
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Affiliation(s)
- Jixin Li
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenru Wang
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
| | - Fengzhao Liu
- First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Linjie Qiu
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
| | - Yan Ren
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
| | - Meijie Li
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
| | - Wenjie Li
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
| | - Feng Gao
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
| | - Jin Zhang
- Xiyuan Hospital of the China Academy of Chinese Medical Sciences, Beijing, China
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Shi F, Liu Q, Yue D, Zhang Y, Wei X, Wang Y, Ma W. Exploring the effects of the dietary fiber compound mediated by a longevity dietary pattern on antioxidation, characteristic bacterial genera, and metabolites based on fecal metabolomics. Nutr Metab (Lond) 2024; 21:18. [PMID: 38575955 PMCID: PMC10993571 DOI: 10.1186/s12986-024-00787-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/12/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Age-related dysbiosis of the microbiota has been linked to various negative health outcomes. This study aims to investigate the effects of a newly discovered dietary fiber compound (DFC) on aging, intestinal microbiota, and related metabolic processes. The DFC was identified through in vitro fermentation screening experiments, and its dosage and composition were determined based on a longevity dietary pattern. METHODS Aged SPF C57BL/6 J mice (65 weeks old) and young mice (8 weeks old) were divided into three groups: a subgroup without dietary fiber (NDF), a low DFC dose subgroup (LDF, 10% DFC), and a high DFC dose subgroup (HDF, 20% DFC). The total antioxidant capacity (T-AOC), total superoxide dismutase (T-SOD) activity, malondialdehyde (MDA) content, and glutathione peroxidase (GSH-Px) activity in liver and serum samples of the mice were measured according to the manufacturer's protocol. The expression levels of characteristic bacterial genera and fecal metabolite concentrations in mice were determined using quantitative real-time PCR (qPCR) and nuclear magnetic resonance hydrogen spectroscopy (1H NMR). Metabolomics analysis was further conducted to identify biological functions and potential pathways related to aging. RESULTS After an 8-weeks dietary intervention, DFC supplementation significantly attenuated age-related weight loss, organ degeneration, and oxidative stress. And promoted the growth of Lactobacillus and Bifidobacterium and inhibited the growth of Escherichia coli (E. coli) and Bacteroides (p < 0.05) in the intestinal tracts of aged mice. Metabolomic analysis identified glycolipid and amino acid metabolic pathway biomarkers associated with aging that were differentially regulated by DFC consumption. Correlation analysis between the identified microbial flora and the biomarkers revealed potential mechanistic links between altered microbial composition and metabolic activity with aging markers. CONCLUSIONS In conclusion, this study revealed an important mechanism by which DFC consumption impacts healthspan and longevity, shedding light on optimizing dietary fiber or developing fiber-based interventions to improve human health.
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Affiliation(s)
- Fengcui Shi
- School of Chemical and Biological Engineering, Qilu Institute of Technology, Shandong, China
| | - Qingli Liu
- School of Chemical and Biological Engineering, Qilu Institute of Technology, Shandong, China
| | - Dayong Yue
- School of Chemical and Biological Engineering, Qilu Institute of Technology, Shandong, China
| | - Yanan Zhang
- School of Chemical and Biological Engineering, Qilu Institute of Technology, Shandong, China
| | - Xueying Wei
- School of Chemical and Biological Engineering, Qilu Institute of Technology, Shandong, China
| | - Ying Wang
- School of Chemical and Biological Engineering, Qilu Institute of Technology, Shandong, China.
| | - WenJian Ma
- School of Chemical and Biological Engineering, Qilu Institute of Technology, Shandong, China.
- College of Biotechnology, Tianjin University of Science and Technology, Tianjin, China.
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Bacha F, El-Ayash H, Mohamad M, Sharma S, Puyau M, Kanchi R, Coarfa C. Distinct Amino Acid Profile Characterizes Youth With or at Risk for Type 2 Diabetes. Diabetes 2024; 73:628-636. [PMID: 38215171 DOI: 10.2337/db23-0375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 01/10/2024] [Indexed: 01/14/2024]
Abstract
Branched-chain amino acids (BCAAs) and aromatic AAs (AAAs) are associated with increased risk for type 2 diabetes in adults. Studies in youth show conflicting results. We hypothesized that an AA metabolomic signature can be defined to identify youth at risk for β-cell failure and the development of type 2 diabetes. We performed targeted AA metabolomics analysis on 127 adolescents (65 girls; 15.5 [SD ±1.9] years old, Tanner stage II-V) with normal weight or obesity across the spectrum of glycemia, with assessment of AA concentrations by mass spectrometry, at fasting, and steady state of a hyperinsulinemic-euglycemic clamp, with determination of insulin sensitivity (IS) per fat-free mass (FFM). We measured insulin secretion during a 2-h hyperglycemic clamp and calculated the disposition index per FFM (DIFFM), a measure of β-cell function. Our results showed that concentration of glycine (Gly) and the glutamine (Gln)-to-glutamate (Glu) ratio were lower, whereas BCAA, tyrosine, and lysine (Lys) concentrations were higher in the groups with obesity and dysglycemia compared with those with normal weight. Gly and Gln-to-Glu ratio were positively related to IS and DIFFM, with opposite relationships observed for BCAAs, AAAs, and Lys. We conclude that a metabolic signature of low Gly concentration and low Gln-to-Glu ratio, and elevated BCAAs, AAAs, and Lys concentrations may constitute a biomarker to identify youth at risk for β-cell failure. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Fida Bacha
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Division of Pediatric Endocrinology and Diabetes, Texas Children's Hospital, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Heba El-Ayash
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Division of Pediatric Endocrinology and Diabetes, Texas Children's Hospital, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Mahmoud Mohamad
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Susan Sharma
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Maurice Puyau
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Baylor College of Medicine, Houston, TX
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Doumatey AP, Shriner D, Zhou J, Lei L, Chen G, Oluwasola-Taiwo O, Nkem S, Ogundeji A, Adebamowo SN, Bentley AR, Gouveia MH, Meeks KAC, Adebamowo CA, Adeyemo AA, Rotimi CN. Untargeted metabolomic profiling reveals molecular signatures associated with type 2 diabetes in Nigerians. Genome Med 2024; 16:38. [PMID: 38444015 PMCID: PMC10913364 DOI: 10.1186/s13073-024-01308-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 02/21/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) has reached epidemic proportions globally, including in Africa. However, molecular studies to understand the pathophysiology of T2D remain scarce outside Europe and North America. The aims of this study are to use an untargeted metabolomics approach to identify: (a) metabolites that are differentially expressed between individuals with and without T2D and (b) a metabolic signature associated with T2D in a population of Sub-Saharan Africa (SSA). METHODS A total of 580 adult Nigerians from the Africa America Diabetes Mellitus (AADM) study were studied. The discovery study included 310 individuals (210 without T2D, 100 with T2D). Metabolites in plasma were assessed by reverse phase, ultra-performance liquid chromatography and mass spectrometry (RP)/UPLC-MS/MS methods on the Metabolon Platform. Welch's two-sample t-test was used to identify differentially expressed metabolites (DEMs), followed by the construction of a biomarker panel using a random forest (RF) algorithm. The biomarker panel was evaluated in a replication sample of 270 individuals (110 without T2D and 160 with T2D) from the same study. RESULTS Untargeted metabolomic analyses revealed 280 DEMs between individuals with and without T2D. The DEMs predominantly belonged to the lipid (51%, 142/280), amino acid (21%, 59/280), xenobiotics (13%, 35/280), carbohydrate (4%, 10/280) and nucleotide (4%, 10/280) super pathways. At the sub-pathway level, glycolysis, free fatty acid, bile metabolism, and branched chain amino acid catabolism were altered in T2D individuals. A 10-metabolite biomarker panel including glucose, gluconate, mannose, mannonate, 1,5-anhydroglucitol, fructose, fructosyl-lysine, 1-carboxylethylleucine, metformin, and methyl-glucopyranoside predicted T2D with an area under the curve (AUC) of 0.924 (95% CI: 0.845-0.966) and a predicted accuracy of 89.3%. The panel was validated with a similar AUC (0.935, 95% CI 0.906-0.958) in the replication cohort. The 10 metabolites in the biomarker panel correlated significantly with several T2D-related glycemic indices, including Hba1C, insulin resistance (HOMA-IR), and diabetes duration. CONCLUSIONS We demonstrate that metabolomic dysregulation associated with T2D in Nigerians affects multiple processes, including glycolysis, free fatty acid and bile metabolism, and branched chain amino acid catabolism. Our study replicated previous findings in other populations and identified a metabolic signature that could be used as a biomarker panel of T2D risk and glycemic control thus enhancing our knowledge of molecular pathophysiologic changes in T2D. The metabolomics dataset generated in this study represents an invaluable addition to publicly available multi-omics data on understudied African ancestry populations.
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Affiliation(s)
- Ayo P Doumatey
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA.
| | - Daniel Shriner
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
| | - Jie Zhou
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
| | - Lin Lei
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
| | - Guanjie Chen
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
| | | | - Susan Nkem
- Center for Bioethics & Research, Ibadan, Nigeria
| | | | - Sally N Adebamowo
- Department of Epidemiology and Public Health, and the Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Amy R Bentley
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
| | - Mateus H Gouveia
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
| | - Karlijn A C Meeks
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
| | - Clement A Adebamowo
- Department of Epidemiology and Public Health, and the Greenebaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Adebowale A Adeyemo
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA.
| | - Charles N Rotimi
- Center for Research On Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, 12 South Drive, Building 12 A, Room 1025A, Bethesda, MD, 20892, USA
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9
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Lares-Villaseñor E, Guevara-Cruz M, Salazar-García S, Granados-Portillo O, Vega-Cárdenas M, Martinez-Leija ME, Medina-Vera I, González-Salazar LE, Arteaga-Sanchez L, Guízar-Heredia R, Hernández-Gómez KG, Serralde-Zúñiga AE, Pichardo-Ontiveros E, López-Barradas AM, Guevara-Pedraza L, Ordaz-Nava G, Avila-Nava A, Tovar AR, Cossío-Torres PE, de la Cruz-Mosso U, Aradillas-García C, Portales-Pérez DP, Noriega LG, Vargas-Morales JM. Genetic risk score for insulin resistance based on gene variants associated to amino acid metabolism in young adults. PLoS One 2024; 19:e0299543. [PMID: 38422035 PMCID: PMC10903913 DOI: 10.1371/journal.pone.0299543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 02/12/2024] [Indexed: 03/02/2024] Open
Abstract
Circulating concentration of arginine, alanine, aspartate, isoleucine, leucine, phenylalanine, proline, tyrosine, taurine and valine are increased in subjects with insulin resistance, which could in part be attributed to the presence of single nucleotide polymorphisms (SNPs) within genes associated with amino acid metabolism. Thus, the aim of this work was to develop a Genetic Risk Score (GRS) for insulin resistance in young adults based on SNPs present in genes related to amino acid metabolism. We performed a cross-sectional study that included 452 subjects over 18 years of age. Anthropometric, clinical, and biochemical parameters were assessed including measurement of serum amino acids by high performance liquid chromatography. Eighteen SNPs were genotyped by allelic discrimination. Of these, ten were found to be in Hardy-Weinberg equilibrium, and only four were used to construct the GRS through multiple linear regression modeling. The GRS was calculated using the number of risk alleles of the SNPs in HGD, PRODH, DLD and SLC7A9 genes. Subjects with high GRS (≥ 0.836) had higher levels of glucose, insulin, homeostatic model assessment- insulin resistance (HOMA-IR), total cholesterol and triglycerides, and lower levels of arginine than subjects with low GRS (p < 0.05). The application of a GRS based on variants within genes associated to amino acid metabolism may be useful for the early identification of subjects at increased risk of insulin resistance.
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Affiliation(s)
- Eunice Lares-Villaseñor
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Martha Guevara-Cruz
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Samuel Salazar-García
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Omar Granados-Portillo
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Mariela Vega-Cárdenas
- Laboratorio de Nutrición, Departamento de Ciencias en Investigación Aplicadas en Ambiente y Salud, Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | | | - Isabel Medina-Vera
- Departamento de Metodología de la Investigación, Instituto Nacional de Pediatría, Ciudad de México, México
| | - Luis E. González-Salazar
- Servicio de Nutriología Clínica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Liliana Arteaga-Sanchez
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Rocío Guízar-Heredia
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Karla G. Hernández-Gómez
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Aurora E. Serralde-Zúñiga
- Servicio de Nutriología Clínica, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Edgar Pichardo-Ontiveros
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Adriana M. López-Barradas
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | | | - Guillermo Ordaz-Nava
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Azalia Avila-Nava
- Hospital Regional de Alta Especialidad de la Península de Yucatán, IMSS-Bienestar, Mérida, Yucatán, Mexico
| | - Armando R. Tovar
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Patricia E. Cossío-Torres
- Departamento de Salud Pública y Ciencias Médicas, Facultad de Medicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Ulises de la Cruz-Mosso
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Celia Aradillas-García
- Facultad de Medicina, Coordinación para la Innovación y Aplicación de la Ciencia y la Tecnología, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Diana P. Portales-Pérez
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Lilia G. Noriega
- Fisiología de la Nutrición, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Ciudad de México, México
| | - Juan M. Vargas-Morales
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
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10
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Tsukagoshi-Yamaguchi A, Koshizaka M, Ishibashi R, Ishikawa K, Ishikawa T, Shoji M, Ide S, Ide K, Baba Y, Terayama R, Hattori A, Takemoto M, Ouchi Y, Maezawa Y, Yokote K. Metabolomic analysis of serum samples from a clinical study on ipragliflozin and metformin treatment in Japanese patients with type 2 diabetes: Exploring human metabolites associated with visceral fat reduction. Pharmacotherapy 2023; 43:1317-1326. [PMID: 37772313 DOI: 10.1002/phar.2884] [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: 05/30/2023] [Revised: 09/02/2023] [Accepted: 09/05/2023] [Indexed: 09/30/2023]
Abstract
STUDY OBJECTIVE The effects of the sodium-dependent glucose transporter-2 inhibitor ipragliflozin were compared with metformin in a previous study, which revealed that ipragliflozin reduced visceral fat content by 12%; however, the underlying mechanism was unclear. Therefore, this sub-analysis aimed to compare metabolomic changes associated with ipragliflozin and metformin that may contribute to their biological effects. DESIGN A sub-analysis of a randomized controlled study. SETTING Chiba University Hospital and ten hospitals in Japan. PATIENTS Fifteen patients with type 2 diabetes in the ipragliflozin group and 15 patients with type 2 diabetes in the metformin group with matching characteristics, such as age, sex, baseline A1C, baseline visceral fat area, smoking status, and concomitant medication. INTERVENTIONS Ipragliflozin 50 mg or metformin 1000 mg daily. MEASUREMENTS The clinical data were reanalyzed, and metabolomic analysis of serum samples collected before and 24 weeks after drug administration was performed using capillary electrophoresis time-of-flight mass spectrometry. MAIN RESULTS The reduction in the mean visceral fat area after 24 weeks of treatment was significantly larger (p = 0.002) in the ipragliflozin group (-19.8%) than in the metformin group (-2.5%), as were the subcutaneous fat area and body weight. The A1C and blood glucose levels decreased in both groups. Glutamic pyruvic oxaloacetic transaminase, γ-glutamyl transferase, uric acid, and triglyceride levels decreased in the ipragliflozin group. Low-density lipoprotein cholesterol levels decreased in the metformin group. After ipragliflozin administration, N2-phenylacetylglutamine, inosine, guanosine, and 1-methyladenosine levels increased, whereas galactosamine, glucosamine, 11-aminoundecanoic acid, morpholine, and choline levels decreased. After metformin administration, metformin, hypotaurine, methionine, methyl-2-oxovaleric acid, 3-nitrotyrosine, and cyclohexylamine levels increased, whereas citrulline, octanoic acid, indole-3-acetaldehyde, and hexanoic acid levels decreased. CONCLUSIONS Metabolites that may affect visceral fat reduction were detected in the ipragliflozin group. Studies are required to further elucidate the underlying mechanisms.
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Affiliation(s)
| | - Masaya Koshizaka
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
- Center for Preventive Medical Science, Chiba University, Chiba City, Japan
| | - Ryoichi Ishibashi
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
- Division of Diabetes, Endocrinology, and Metabolism, Kimitsu Chuo Hospital, Kisarazu City, Japan
| | - Ko Ishikawa
- Department of Diabetes and Endocrinology, Chiba Rosai Hospital, Ichihara City, Japan
| | - Takahiro Ishikawa
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of General Medical Science, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Mayumi Shoji
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Shintaro Ide
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Kana Ide
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Yusuke Baba
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Ryo Terayama
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
| | - Akiko Hattori
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Minoru Takemoto
- Division of Diabetes, Department of Medicine, Metabolism and Endocrinology, International University of Health and Welfare, Narita City, Japan
| | - Yasuo Ouchi
- Department of Regenerative Medicine, Chiba University Graduate School of Medicine, Chiba City, Japan
- Altos Labs, California, San Diego, USA
| | - Yoshiro Maezawa
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
| | - Koutaro Yokote
- Department of Diabetes, Metabolism and Endocrinology, Chiba University Hospital, Chiba City, Japan
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine, Chiba City, Japan
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11
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Jain N, Patel B, Hanawal M, Lila AR, Memon S, Bandgar T, Kumar A. Machine learning for predicting diabetic metabolism in the Indian population using polar metabolomic and lipidomic features. Metabolomics 2023; 20:1. [PMID: 38017183 DOI: 10.1007/s11306-023-02066-y] [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: 08/04/2023] [Accepted: 11/16/2023] [Indexed: 11/30/2023]
Abstract
AIMS To identify metabolite and lipid biomarkers of diabetes in the Indian subpopulation in newly diagnosed diabetic and long-term diabetic individuals. To utilize the global polar metabolomic and lipidomic profiles to predict the susceptibility of an individual to diabetes using machine learning algorithms. MATERIALS AND METHODS 87 individuals, including healthy, newly diabetic, and long-term diabetics on medication, were included in the study. Post consent, their serum was used to isolate polar metabolome and lipidome. NMR and LCMS were used to identify the polar metabolites and lipids, respectively. Statistical analysis was done to determine significantly altered molecules. NMR and LCMS comprehensive data were utilized to generate diabetic models using machine learning algorithms. 10 more individuals (pre-diabetic) were recruited, and their polar metabolomic and lipidomic profiles were generated. Pre-diabetic metabolic profiles were then utilized to predict the diabetic status of the metabolome and lipidome beyond glucose levels. RESULTS Mannose, Betaine, Xanthine, Triglyceride (38:1), Sphingomyelin (d63:7), and Phosphatidic acid (37:2) are some of the top key biomarkers of diabetes. The predictive model generated showed the receiver operating characteristic area under the curve (ROC-AUC) as 1 on both test and validation data indicating excellent accuracy. This model then predicted the diabetic closeness of the metabolism of pre-diabetic individuals based on probability scores. CONCLUSION Polar metabolic and lipid profile of diabetic individuals is very different from that of healthy individuals. Lipid profile alters before the polar metabolic profile in diabetes-susceptible individuals. Without regard to glucose, the diabetic closeness of the metabolism of any individual can be determined.
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Affiliation(s)
- Nikita Jain
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India
| | - Bhaumik Patel
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India
| | - Manjesh Hanawal
- Industrial Engineering and Operations Research, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India
| | - Anurag R Lila
- Seth G.S. Medical College and KEM Hospital, Parel, Mumbai, 400012, India
| | - Saba Memon
- Seth G.S. Medical College and KEM Hospital, Parel, Mumbai, 400012, India
| | - Tushar Bandgar
- Seth G.S. Medical College and KEM Hospital, Parel, Mumbai, 400012, India
| | - Ashutosh Kumar
- Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, 400076, India.
- Lab No. 606, Department of Biosciences and Bioengineering, Indian Institute of Technology (IIT) Bombay, Mumbai, 400076, India.
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12
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Najafi F, Mohseni P, Pasdar Y, Niknam M, Izadi N. The association between dietary amino acid profile and the risk of type 2 diabetes: Ravansar non-communicable disease cohort study. BMC Public Health 2023; 23:2284. [PMID: 37980456 PMCID: PMC10657569 DOI: 10.1186/s12889-023-17210-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 11/11/2023] [Indexed: 11/20/2023] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is one of the most common chronic diseases and the main risk factors for T2D consist of a combination of lifestyle, unhealthy diet, and genetic factors. Amino acids are considered to be a major component of dietary sources for many of the associations between dietary protein and chronic disease. Therefore, this study amied to determine the association between dietary amino acid intakes and the incidence of T2D. METHODS The present nested case-control study was conducted using data from the Ravansar Non-Communicable Disease (RaNCD) Cohort Study. The information required for this study was collected from individuals who participated in the Adult Cohort Study from the start of the study until September 2023. Over a 6-year follow-up period, data from 113 new T2D cases were available. Four controls were then randomly selected for each case using density sampling. Cases and controls were matched for sex and age at the interview. Food frequency questionnaire (FFQ) was used to collect data related to all amino acids including tryptophan, threonine, isoleucine, leucine, lysine, methionine, cysteine, phenylalanine, tyrosine, valine, arginine, histidine, alanine, aspartic acid, glutamic acid, glycine, proline, and serine were also extracted. Binary logistic regression was used to estimate the crude and adjusted odds ratio for the risk of T2D. RESULTS Using the univariable model, a significant association was found between T2D risk and branched-chain, alkaline, sulfuric, and essential amino acids in the fourth quartile. Accordingly, individuals in the fourth quartile had a 1.81- to 1.87-fold higher risk of developing new T2D than individuals in the lowest quartile (P<0.05). After adjustment for several variables, the risk of developing a new T2D was 2.70 (95% CI: 1.16-6.31), 2.68 (95% CI: 1.16-6.21), 2.98 (95% CI: 1.27-6.96), 2.45 (95% CI: 1.02-5.90), and 2.66 (95% CI: 1.13-6.25) times higher, for individuals in the fourth quartile of branched-chain, alkaline, sulfuric, alcoholic, and essential amino acids compared with those in the lowest quartile, respectively. CONCLUSIONS The results showed that the risk of developing a new T2D was higher for individuals in the fourth quartile of branched-chain amino acids, alkaline, sulfate, and essential amino acids than in the lower quartile.
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Affiliation(s)
- Farid Najafi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Parisa Mohseni
- Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Yahya Pasdar
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mahdieh Niknam
- Research Center for Social Determinants of Health, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Neda Izadi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
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13
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Shastry A, Dunham-Snary K. Metabolomics and mitochondrial dysfunction in cardiometabolic disease. Life Sci 2023; 333:122137. [PMID: 37788764 DOI: 10.1016/j.lfs.2023.122137] [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: 08/01/2023] [Revised: 09/21/2023] [Accepted: 09/29/2023] [Indexed: 10/05/2023]
Abstract
Circulating metabolites are indicators of systemic metabolic dysfunction and can be detected through contemporary techniques in metabolomics. These metabolites are involved in numerous mitochondrial metabolic processes including glycolysis, fatty acid β-oxidation, and amino acid catabolism, and changes in the abundance of these metabolites is implicated in the pathogenesis of cardiometabolic diseases (CMDs). Epigenetic regulation and direct metabolite-protein interactions modulate metabolism, both within cells and in the circulation. Dysfunction of multiple mitochondrial components stemming from mitochondrial DNA mutations are implicated in disease pathogenesis. This review will summarize the current state of knowledge regarding: i) the interactions between metabolites found within the mitochondrial environment during CMDs, ii) various metabolites' effects on cellular and systemic function, iii) how harnessing the power of metabolomic analyses represents the next frontier of precision medicine, and iv) how these concepts integrate to expand the clinical potential for translational cardiometabolic medicine.
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Affiliation(s)
- Abhishek Shastry
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Kimberly Dunham-Snary
- Department of Medicine, Queen's University, Kingston, ON, Canada; Department of Biomedical & Molecular Sciences, Queen's University, Kingston, ON, Canada.
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14
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Yang W, Jiang W, Guo S. Regulation of Macronutrients in Insulin Resistance and Glucose Homeostasis during Type 2 Diabetes Mellitus. Nutrients 2023; 15:4671. [PMID: 37960324 PMCID: PMC10647592 DOI: 10.3390/nu15214671] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 10/30/2023] [Accepted: 11/02/2023] [Indexed: 11/15/2023] Open
Abstract
Insulin resistance is an important feature of metabolic syndrome and a precursor of type 2 diabetes mellitus (T2DM). Overnutrition-induced obesity is a major risk factor for the development of insulin resistance and T2DM. The intake of macronutrients plays a key role in maintaining energy balance. The components of macronutrients distinctly regulate insulin sensitivity and glucose homeostasis. Precisely adjusting the beneficial food compound intake is important for the prevention of insulin resistance and T2DM. Here, we reviewed the effects of different components of macronutrients on insulin sensitivity and their underlying mechanisms, including fructose, dietary fiber, saturated and unsaturated fatty acids, and amino acids. Understanding the diet-gene interaction will help us to better uncover the molecular mechanisms of T2DM and promote the application of precision nutrition in practice by integrating multi-omics analysis.
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Affiliation(s)
| | | | - Shaodong Guo
- Department of Nutrition, College of Agriculture and Life Sciences, Texas A&M University, College Station, TX 77843, USA; (W.Y.); (W.J.)
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15
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Liu Y, Wang D, Liu YP. Metabolite profiles of diabetes mellitus and response to intervention in anti-hyperglycemic drugs. Front Endocrinol (Lausanne) 2023; 14:1237934. [PMID: 38027178 PMCID: PMC10644798 DOI: 10.3389/fendo.2023.1237934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) has become a major health problem, threatening the quality of life of nearly 500 million patients worldwide. As a typical multifactorial metabolic disease, T2DM involves the changes and interactions of various metabolic pathways such as carbohydrates, amino acid, and lipids. It has been suggested that metabolites are not only the endpoints of upstream biochemical processes, but also play a critical role as regulators of disease progression. For example, excess free fatty acids can lead to reduced glucose utilization in skeletal muscle and induce insulin resistance; metabolism disorder of branched-chain amino acids contributes to the accumulation of toxic metabolic intermediates, and promotes the dysfunction of β-cell mitochondria, stress signal transduction, and apoptosis. In this paper, we discuss the role of metabolites in the pathogenesis of T2DM and their potential as biomarkers. Finally, we list the effects of anti-hyperglycemic drugs on serum/plasma metabolic profiles.
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Affiliation(s)
| | | | - Yi-Ping Liu
- Provincial University Key Laboratory of Sport and Health Science, School of Physical Education and Sport Sciences, Fujian Normal University, Fuzhou, China
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16
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Tosur M, Hsu JW, Deen S, Huang X, Guffey D, Uysal S, Astudillo M, Redondo MJ, Jahoor F, Balasubramanyam A. Plasma amino acid signatures define types of pediatric diabetes. Clin Nutr ESPEN 2023; 57:21-28. [PMID: 37739658 PMCID: PMC10518839 DOI: 10.1016/j.clnesp.2023.06.005] [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: 03/07/2023] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND & AIMS Metabolic biomarkers with pathophysiological relevance is lacking in pediatric diabetes. We aimed to identify novel metabolic biomarkers in pediatric type 1 (T1D) and type 2 diabetes (T2D). We hypothesized that (1) targeted plasma metabolomics, focused on plasma amino acid concentrations, could identify distinctively altered patterns in children with T1D or T2D, and (2) there are specific changes in concentrations of metabolites related to branch chain amino acids (BCAA) and arginine metabolism in children with T2D. METHODS In a pilot study, we enrolled children with T1D (n = 15) and T2D (n = 13), and healthy controls (n = 15). Fasting plasma amino acid concentrations were measured by ultra-performance liquid chromatography, and compared between the groups after adjustment for confounding factors. RESULTS The mean age (SD) of participants was 16.4 (0.9) years. There were no group differences in age, gender, race/ethnicity, or 24-h protein intake. Mean BMI percentile was higher in the T2D than the T1D group or controls (p < 0.001). The T2D group had lower arginine, citrulline, glutamine, glycine, phenylalanine, methionine, threonine, asparagine and symmetric dimethylarginine (SDMA) but higher aspartate than controls, after adjusting for BMI percentiles (all p < 0.05). Children with T2D also had lower glycine but higher ornithine, proline, leucine, isoleucine, valine, total BCAA, lysine and tyrosine than those with T1D after adjusting for confounding factors (all p < 0.05). Children with T1D had lower phenylalanine, methionine, threonine, glutamine, tyrosine, asymmetric dimethylarginine (ADMA) and SDMA than controls (all p < 0.05). CONCLUSIONS Children with T2D and T1D have distinct fasting plasma amino acid signatures that suggest varying pathogenic mechanisms and could serve as biomarkers for these conditions.
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Affiliation(s)
- Mustafa Tosur
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA; Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Houston, TX, USA.
| | - Jean W Hsu
- Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Houston, TX, USA; Department of Pediatrics - Nutrition, Baylor College of Medicine, Houston, TX, USA
| | - Saima Deen
- Department of Pediatrics, Research Resources Office, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Xiaofan Huang
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Danielle Guffey
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Serife Uysal
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Marcela Astudillo
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Maria J Redondo
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Farook Jahoor
- Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Houston, TX, USA; Department of Pediatrics - Nutrition, Baylor College of Medicine, Houston, TX, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA.
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17
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Ding Y, Wang S, Lu J. Unlocking the Potential: Amino Acids' Role in Predicting and Exploring Therapeutic Avenues for Type 2 Diabetes Mellitus. Metabolites 2023; 13:1017. [PMID: 37755297 PMCID: PMC10535527 DOI: 10.3390/metabo13091017] [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: 08/10/2023] [Revised: 09/08/2023] [Accepted: 09/13/2023] [Indexed: 09/28/2023] Open
Abstract
Diabetes mellitus, particularly type 2 diabetes mellitus (T2DM), imposes a significant global burden with adverse clinical outcomes and escalating healthcare expenditures. Early identification of biomarkers can facilitate better screening, earlier diagnosis, and the prevention of diabetes. However, current clinical predictors often fail to detect abnormalities during the prediabetic state. Emerging studies have identified specific amino acids as potential biomarkers for predicting the onset and progression of diabetes. Understanding the underlying pathophysiological mechanisms can offer valuable insights into disease prevention and therapeutic interventions. This review provides a comprehensive summary of evidence supporting the use of amino acids and metabolites as clinical biomarkers for insulin resistance and diabetes. We discuss promising combinations of amino acids, including branched-chain amino acids, aromatic amino acids, glycine, asparagine and aspartate, in the prediction of T2DM. Furthermore, we delve into the mechanisms involving various signaling pathways and the metabolism underlying the role of amino acids in disease development. Finally, we highlight the potential of targeting predictive amino acids for preventive and therapeutic interventions, aiming to inspire further clinical investigations and mitigate the progression of T2DM, particularly in the prediabetic stage.
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Affiliation(s)
- Yilan Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.D.); (S.W.)
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.D.); (S.W.)
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.D.); (S.W.)
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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18
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Joshi AD, Rahnavard A, Kachroo P, Mendez KM, Lawrence W, Julián-Serrano S, Hua X, Fuller H, Sinnott-Armstrong N, Tabung FK, Shutta KH, Raffield LM, Darst BF. An epidemiological introduction to human metabolomic investigations. Trends Endocrinol Metab 2023; 34:505-525. [PMID: 37468430 PMCID: PMC10527234 DOI: 10.1016/j.tem.2023.06.006] [Citation(s) in RCA: 4] [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: 01/10/2023] [Revised: 06/17/2023] [Accepted: 06/19/2023] [Indexed: 07/21/2023]
Abstract
Metabolomics holds great promise for uncovering insights around biological processes impacting disease in human epidemiological studies. Metabolites can be measured across biological samples, including plasma, serum, saliva, urine, stool, and whole organs and tissues, offering a means to characterize metabolic processes relevant to disease etiology and traits of interest. Metabolomic epidemiology studies face unique challenges, such as identifying metabolites from targeted and untargeted assays, defining standards for quality control, harmonizing results across platforms that often capture different metabolites, and developing statistical methods for high-dimensional and correlated metabolomic data. In this review, we introduce metabolomic epidemiology to the broader scientific community, discuss opportunities and challenges presented by these studies, and highlight emerging innovations that hold promise to uncover new biological insights.
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Affiliation(s)
- Amit D Joshi
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Ali Rahnavard
- Computational Biology Institute, Department of Biostatistics and Bioinformatics, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA
| | - Priyadarshini Kachroo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Kevin M Mendez
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Wayne Lawrence
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sachelly Julián-Serrano
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA; Department of Public Health, University of Massachusetts Lowell, Lowell, MA, USA
| | - Xinwei Hua
- Clinical & Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Cardiology, Peking University Third Hospital, Beijing, China
| | - Harriett Fuller
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Nasa Sinnott-Armstrong
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Fred K Tabung
- The Ohio State University College of Medicine and Comprehensive Cancer Center, Columbus, OH, USA
| | - Katherine H Shutta
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Burcu F Darst
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
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19
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Aguillard AM, Tzeng J, Ferrer I, Tam BT, Lorenzo DN. A cell-autonomous mechanism regulates BCAA catabolism in white adipocytes and systemic metabolic balance. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.31.551146. [PMID: 37577547 PMCID: PMC10418053 DOI: 10.1101/2023.07.31.551146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Elevated plasma branched-chain amino acids (BCAAs) are strongly associated with obesity, insulin resistance (IR), and diabetes in humans and rodent models. However, the mechanisms of BCAA dysregulation and its systemic, organ, and cell-specific implications in the development of obesity and IR are not well understood. To gain mechanistic insight into the causes and effects of plasma BCAA elevations, we leveraged mouse models with high circulating BCAA levels prior to the onset of obesity and IR. Young mice lacking ankyrin-B in white adipose tissue (WAT) or bearing an ankyrin-B variant that causes age-driven metabolic syndrome exhibit downregulation of BCAA catabolism selectively in WAT and excess plasma BCAAs. Using cellular assays, we demonstrated that ankyrin-B promotes the surface localization of the amino acid transporter Asct2 in white adipocytes, and its deficit impairs BCAA uptake. Excess BCAA supplementation worsened glucose tolerance and insulin sensitivity across genotypes. In contrast, BCAA overconsumption only increased adiposity in control mice, implicating WAT utilization of BCAAs in their obesogenic effects. These results shed light into the mechanistic underpinnings of metabolic syndrome caused by ankyrin-B deficits and provide new evidence of the relevance of WAT in the regulation of systemic BCAA levels, adiposity, and glucose homeostasis.
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Affiliation(s)
- Ashley M Aguillard
- Department of Cell and Developmental Biology, Perelman School of Medicine. University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Joyce Tzeng
- Department of Cell and Developmental Biology, Perelman School of Medicine. University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ismael Ferrer
- Department of Cell and Developmental Biology, Perelman School of Medicine. University of Pennsylvania, Philadelphia, PA, USA
| | - Bjorn T Tam
- Department of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Damaris N Lorenzo
- Department of Cell and Developmental Biology, Perelman School of Medicine. University of Pennsylvania, Philadelphia, PA, USA
- Department of Cell Biology and Physiology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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20
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Nishi K, Yoshii A, Abell L, Zhou B, Frausto R, Ritterhoff J, McMillen TS, Sweet I, Wang Y, Gao C, Tian R. Branched-chain keto acids inhibit mitochondrial pyruvate carrier and suppress gluconeogenesis in hepatocytes. Cell Rep 2023; 42:112641. [PMID: 37310861 PMCID: PMC10592489 DOI: 10.1016/j.celrep.2023.112641] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 04/06/2023] [Accepted: 05/29/2023] [Indexed: 06/15/2023] Open
Abstract
Branched-chain amino acid (BCAA) metabolism is linked to glucose homeostasis, but the underlying signaling mechanisms are unclear. We find that gluconeogenesis is reduced in mice deficient of Ppm1k, a positive regulator of BCAA catabolism, which protects against obesity-induced glucose intolerance. Accumulation of branched-chain keto acids (BCKAs) inhibits glucose production in hepatocytes. BCKAs suppress liver mitochondrial pyruvate carrier (MPC) activity and pyruvate-supported respiration. Pyruvate-supported gluconeogenesis is selectively suppressed in Ppm1k-deficient mice and can be restored with pharmacological activation of BCKA catabolism by BT2. Finally, hepatocytes lack branched-chain aminotransferase that alleviates BCKA accumulation via reversible conversion between BCAAs and BCKAs. This renders liver MPC most susceptible to circulating BCKA levels hence a sensor of BCAA catabolism.
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Affiliation(s)
- Kiyoto Nishi
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USA; Department of Pharmacology, Shiga University of Medical Science, Otsu, Shiga 520-2182, Japan
| | - Akira Yoshii
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USA
| | - Lauren Abell
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USA
| | - Bo Zhou
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USA
| | - Ricardo Frausto
- Department of Anesthesiology, Cardiovascular Research Laboratories, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Julia Ritterhoff
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USA
| | - Timothy S McMillen
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USA
| | - Ian Sweet
- University of Washington Medicine Diabetes Institute, University of Washington, 750 Republican Street, Seattle, WA 98109, USA
| | - Yibin Wang
- Department of Anesthesiology, Cardiovascular Research Laboratories, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; Signature Program in Cardiovascular and Metabolic Diseases, Duke-NUS School of Medicine, Singapore, Singapore
| | - Chen Gao
- Department of Anesthesiology, Cardiovascular Research Laboratories, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Pharmacology and Systems Physiology, University of Cincinnati, College of Medicine, Cincinnati, OH 45267-0575, USA.
| | - Rong Tian
- Mitochondria and Metabolism Center, Department of Anesthesiology and Pain Medicine, University of Washington, 850 Republican Street, Seattle, WA 98109, USA.
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21
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Liao J, Goodrich J, Walker DI, Lin Y, Lurmann F, Qiu C, Jones DP, Gilliland F, Chazi L, Chen Z. Metabolic pathways altered by air pollutant exposure in association with lipid profiles in young adults. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 327:121522. [PMID: 37019258 PMCID: PMC10243191 DOI: 10.1016/j.envpol.2023.121522] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/14/2023] [Accepted: 03/26/2023] [Indexed: 06/08/2023]
Abstract
Mounting evidence suggests that air pollution influences lipid metabolism and dyslipidemia. However, the metabolic mechanisms linking air pollutant exposure and altered lipid metabolism is not established. In year 2014-2018, we conducted a cross-sectional study on 136 young adults in southern California, and assessed lipid profiles (triglycerides, total cholesterol, high-density lipoprotein (HDL)-cholesterol, low-density lipoprotein (LDL)-cholesterol, very-low-density lipoprotein (VLDL)-cholesterol), and untargeted serum metabolomics using liquid chromatography-high-resolution mass spectrometry, and one-month and one-year averaged exposures to NO2, O3, PM2.5 and PM10 air pollutants at residential addresses. A metabolome-wide association analysis was conducted to identify metabolomic features associated with each air pollutant. Mummichog pathway enrichment analysis was used to assess altered metabolic pathways. Principal component analysis (PCA) was further conducted to summarize 35 metabolites with confirmed chemical identity. Lastly, linear regression models were used to analyze the associations of metabolomic PC scores with each air pollutant exposure and lipid profile outcome. In total, 9309 metabolomic features were extracted, with 3275 features significantly associated with exposure to one-month or one-year averaged NO2, O3, PM2.5 and PM10 (p < 0.05). Metabolic pathways associated with air pollutants included fatty acid, steroid hormone biosynthesis, tryptophan, and tyrosine metabolism. PCA of 35 metabolites identified three main PCs which together explained 44.4% of the variance, representing free fatty acids and oxidative byproducts, amino acids and organic acids. Linear regression indicated that the free fatty acids and oxidative byproducts-related PC score was associated with air pollutant exposure and outcomes of total cholesterol and LDL-cholesterol (p < 0.05). This study suggests that exposure to NO2, O3, PM2.5 and PM10 contributes to increased level of circulating free fatty acids, likely through increased adipose lipolysis, stress hormone and response to oxidative stress pathways. These alterations were associated with dysregulation of lipid profiles and potentially could contribute to dyslipidemia and other cardiometabolic disorders.
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Affiliation(s)
- Jiawen Liao
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Jesse Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Yan Lin
- Duke Global Health Institute, Duke University, Durham, NC, United States
| | - Fred Lurmann
- Sonoma Technology Inc., Petaluma, CA, United States
| | - Chenyu Qiu
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Dean P Jones
- Department of Biochemistry, Emory University School of Medicine, Atlanta, GA, United States
| | - Frank Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Lida Chazi
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine of the University of Southern California, Los Angeles, CA, United States.
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22
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Tanzo JT, Li VL, Wiggenhorn AL, Moya-Garzon MD, Wei W, Lyu X, Dong W, Tahir UA, Chen ZZ, Cruz DE, Deng S, Shi X, Zheng S, Guo Y, Sims M, Abu-Remaileh M, Wilson JG, Gerszten RE, Long JZ, Benson MD. CYP4F2 is a human-specific determinant of circulating N-acyl amino acid levels. J Biol Chem 2023:104764. [PMID: 37121548 DOI: 10.1016/j.jbc.2023.104764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 05/02/2023] Open
Abstract
N-acyl amino acids are a large family of circulating lipid metabolites that modulate energy expenditure and fat mass in rodents. However, little is known about the regulation and potential cardiometabolic functions of N-acyl amino acids in humans. Here, we analyze the cardiometabolic phenotype associations and genomic associations of four plasma N-acyl amino acids (N-oleoyl-leucine, N-oleoyl-phenylalanine, N-oleoyl-serine, and N-oleoyl-glycine) in 2,351 individuals from the Jackson Heart Study. We find that plasma levels of specific N-acyl amino acids are associated with cardiometabolic disease endpoints independent of free amino acid plasma levels and in patterns according to the amino acid head group. By integrating whole genome sequencing data with N-acyl amino acid levels, we identify that the genetic determinants of N-acyl amino acid levels also cluster according to amino acid head group. Furthermore, we identify the CYP4F2 locus as a genetic determinant of plasma N-oleoyl-leucine and N-oleoyl-phenylalanine levels in human plasma. In experimental studies, we demonstrate that CYP4F2-mediated hydroxylation of N-oleoyl-leucine and N-oleoyl-phenylalanine results in metabolic diversification and production of many previously unknown lipid metabolites with varying characteristics of the fatty acid tail group, including several that structurally resemble fatty acid hydroxy fatty acids (FAHFAs). These studies provide a structural framework for understanding the regulation and disease-associations of N-acyl amino acids in humans and identify that the diversity of this lipid signaling family can be significantly expanded through CYP4F-mediated ω-hydroxylation.
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Affiliation(s)
- Julia T Tanzo
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Veronica L Li
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemistry, Stanford University, Stanford, CA, USA; Wu Tsai Human Performance Alliance, Stanford University, CA, USA
| | - Amanda L Wiggenhorn
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Maria Dolores Moya-Garzon
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA
| | - Wei Wei
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Biology, Stanford University, Stanford, CA, USA
| | - Xuchao Lyu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Wu Tsai Human Performance Alliance, Stanford University, CA, USA
| | - Wentao Dong
- Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Usman A Tahir
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Zsu-Zsu Chen
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Daniel E Cruz
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Shuliang Deng
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Xu Shi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Shuning Zheng
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Yan Guo
- Univ of Mississippi Medical Center, Jackson, MS
| | - Mario Sims
- Univ of Mississippi Medical Center, Jackson, MS
| | - Monther Abu-Remaileh
- Stanford ChEM-H, Stanford University, Stanford, CA, USA; Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - James G Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Broad Institute of Harvard and MIT, Cambridge, MA
| | - Jonathan Z Long
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA; Stanford ChEM-H, Stanford University, Stanford, CA, USA; Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA; Wu Tsai Human Performance Alliance, Stanford University, CA, USA.
| | - Mark D Benson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA.
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23
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Escobar-Morreale HF, Martínez-García MÁ, Insenser M, Cañellas N, Correig X, Luque-Ramírez M. Serum metabolomics profiling by proton nuclear magnetic resonance spectroscopy reveals sexual dimorphism and masculinization of intermediate metabolism in women with polycystic ovary syndrome (PCOS). Biol Sex Differ 2023; 14:21. [PMID: 37076926 PMCID: PMC10114375 DOI: 10.1186/s13293-023-00507-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 04/10/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND The polycystic ovary syndrome (PCOS) is associated with insulin resistance, obesity and cardiometabolic comorbidities. We here challenged the hypothesis, using state-of-the art proton nuclear magnetic resonance spectroscopy metabolomics profiling, that androgen excess in women induces also a certain masculinization of intermediate metabolism that is modulated by obesity. METHODS Participants were 53 Caucasian young adults, including 17 women with classic PCOS consisting of hyperandrogenism and ovulatory dysfunction, 17 non-hyperandrogenic women presenting with regular menses, and 19 healthy men, selected in order to be similar in terms of age and body mass index (BMI). Half of the subjects had obesity defined by a body mass index ≥ 30 kg/m2. Subjects maintained the same diet unrestricted in carbohydrates for 3 days before sampling and maintained their lifestyle and exercise patterns prior and during the study. Plasma samples were submitted to proton nuclear magnetic resonance spectroscopy metabolomics profiling. RESULTS Obesity associated a metabolomics profile mainly characterized by increased branched chain and aromatic aminoacids. Regardless of obesity, this unfavorable profile also characterized men as compared with control women, and was shared by women with PCOS. Notably, the negative impact of obesity on metabolomics profile was restricted to women, with obese men showing no further deterioration when compared with their non-obese counterparts. CONCLUSIONS Serum metabolomics profiling by proton nuclear magnetic resonance spectroscopy reveals sexual dimorphism, and masculinization of intermediate metabolism in women with PCOS, further suggesting a role for sex and sex hormones in the regulation of intermediate metabolism.
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Affiliation(s)
- Héctor F Escobar-Morreale
- Diabetes Obesity and Human Reproduction Research Group, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Carretera de Colmenar km 9.1, 28034, Madrid, Spain.
| | - M Ángeles Martínez-García
- Diabetes Obesity and Human Reproduction Research Group, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Carretera de Colmenar km 9.1, 28034, Madrid, Spain
| | - María Insenser
- Diabetes Obesity and Human Reproduction Research Group, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Carretera de Colmenar km 9.1, 28034, Madrid, Spain
| | - Nicolau Cañellas
- Department of Electronic Engineering, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Institut d'Investigació Sanitària Pere Virgili, University Rovira i Virgili, Tarragona, Spain
| | - Xavier Correig
- Department of Electronic Engineering, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Institut d'Investigació Sanitària Pere Virgili, University Rovira i Virgili, Tarragona, Spain
| | - Manuel Luque-Ramírez
- Diabetes Obesity and Human Reproduction Research Group, Hospital Universitario Ramón y Cajal, Universidad de Alcalá, Centro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Carretera de Colmenar km 9.1, 28034, Madrid, Spain
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24
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Okut H, Lu Y, Palmer ND, Chen YDI, Taylor KD, Norris JM, Lorenzo C, Rotter JI, Langefeld CD, Wagenknecht LE, Bowden DW, Ng MCY. Metabolomic profiling of glucose homeostasis in African Americans: the Insulin Resistance Atherosclerosis Family Study (IRAS-FS). Metabolomics 2023; 19:35. [PMID: 37005925 PMCID: PMC10068644 DOI: 10.1007/s11306-023-01984-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 03/04/2023] [Indexed: 04/04/2023]
Abstract
INTRODUCTION African Americans are at increased risk for type 2 diabetes. OBJECTIVES This work aimed to examine metabolomic signature of glucose homeostasis in African Americans. METHODS We used an untargeted liquid chromatography-mass spectrometry metabolomic approach to comprehensively profile 727 plasma metabolites among 571 African Americans from the Insulin Resistance Atherosclerosis Family Study (IRAS-FS) and investigate the associations between these metabolites and both the dynamic (SI, insulin sensitivity; AIR, acute insulin response; DI, disposition index; and SG, glucose effectiveness) and basal (HOMA-IR and HOMA-B) measures of glucose homeostasis using univariate and regularized regression models. We also compared the results with our previous findings in the IRAS-FS Mexican Americans. RESULTS We confirmed increased plasma metabolite levels of branched-chain amino acids and their metabolic derivatives, 2-aminoadipate, 2-hydroxybutyrate, glutamate, arginine and its metabolic derivatives, carbohydrate metabolites, and medium- and long-chain fatty acids were associated with insulin resistance, while increased plasma metabolite levels in the glycine, serine and threonine metabolic pathway were associated with insulin sensitivity. We also observed a differential ancestral effect of glutamate on glucose homeostasis with significantly stronger effects observed in African Americans than those previously observed in Mexican Americans. CONCLUSION We extended the observations that metabolites are useful biomarkers in the identification of prediabetes in individuals at risk of type 2 diabetes in African Americans. We revealed, for the first time, differential ancestral effect of certain metabolites (i.e., glutamate) on glucose homeostasis traits. Our study highlights the need for additional comprehensive metabolomic studies in well-characterized multiethnic cohorts.
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Affiliation(s)
- Hayrettin Okut
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Population Health, University of Kansas School of Medicine-Wichita, Wichita, KS, USA
| | - Yingchang Lu
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37232, USA
| | - Nicholette D Palmer
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Yii-Der Ida Chen
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jill M Norris
- Departments of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA
| | - Carlos Lorenzo
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX, USA
| | - Jerome I Rotter
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Carl D Langefeld
- Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lynne E Wagenknecht
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Donald W Bowden
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Maggie C Y Ng
- Center for Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, 37232, USA.
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25
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Ferguson D, Eichler SJ, Yiew NKH, Colca JR, Cho K, Patti GJ, Shew TM, Lutkewitte AJ, Mukherjee S, McCommis KS, Niemi NM, Finck BN. Mitochondrial pyruvate carrier inhibition initiates metabolic crosstalk to stimulate branched chain amino acid catabolism. Mol Metab 2023; 70:101694. [PMID: 36801448 PMCID: PMC9989691 DOI: 10.1016/j.molmet.2023.101694] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 02/19/2023] Open
Abstract
OBJECTIVE The mitochondrial pyruvate carrier (MPC) has emerged as a therapeutic target for treating insulin resistance, type 2 diabetes, and nonalcoholic steatohepatitis (NASH). We evaluated whether MPC inhibitors (MPCi) might correct impairments in branched chain amino acid (BCAA) catabolism, which are predictive of developing diabetes and NASH. METHODS Circulating BCAA concentrations were measured in people with NASH and type 2 diabetes, who participated in a recent randomized, placebo-controlled Phase IIB clinical trial to test the efficacy and safety of the MPCi MSDC-0602K (EMMINENCE; NCT02784444). In this 52-week trial, patients were randomly assigned to placebo (n = 94) or 250 mg MSDC-0602K (n = 101). Human hepatoma cell lines and mouse primary hepatocytes were used to test the direct effects of various MPCi on BCAA catabolism in vitro. Lastly, we investigated how hepatocyte-specific deletion of MPC2 affects BCAA metabolism in the liver of obese mice and MSDC-0602K treatment of Zucker diabetic fatty (ZDF) rats. RESULTS In patients with NASH, MSDC-0602K treatment, which led to marked improvements in insulin sensitivity and diabetes, had decreased plasma concentrations of BCAAs compared to baseline while placebo had no effect. The rate-limiting enzyme in BCAA catabolism is the mitochondrial branched chain ketoacid dehydrogenase (BCKDH), which is deactivated by phosphorylation. In multiple human hepatoma cell lines, MPCi markedly reduced BCKDH phosphorylation and stimulated branched chain keto acid catabolism; an effect that required the BCKDH phosphatase PPM1K. Mechanistically, the effects of MPCi were linked to activation of the energy sensing AMP-dependent protein kinase (AMPK) and mechanistic target of rapamycin (mTOR) kinase signaling cascades in vitro. BCKDH phosphorylation was reduced in liver of obese, hepatocyte-specific MPC2 knockout (LS-Mpc2-/-) mice compared to wild-type controls concomitant with activation of mTOR signaling in vivo. Finally, while MSDC-0602K treatment improved glucose homeostasis and increased the concentrations of some BCAA metabolites in ZDF rats, it did not lower plasma BCAA concentrations. CONCLUSIONS These data demonstrate novel cross talk between mitochondrial pyruvate and BCAA metabolism and suggest that MPC inhibition leads to lower plasma BCAA concentrations and BCKDH phosphorylation by activating the mTOR axis. However, the effects of MPCi on glucose homeostasis may be separable from its effects on BCAA concentrations.
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Affiliation(s)
- Daniel Ferguson
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States
| | - Sophie J Eichler
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States
| | - Nicole K H Yiew
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States
| | - Jerry R Colca
- Department of Biomedical Sciences, Western Michigan University School of Medicine, Kalamazoo, MI, Cirius Therapeutics, Kalamazoo, MI, United States
| | - Kevin Cho
- Department of Chemistry, Washington University in St. Louis, United States; Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, United States
| | - Gary J Patti
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States; Department of Chemistry, Washington University in St. Louis, United States; Siteman Cancer Center, Washington University in St. Louis, United States; Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, United States
| | - Trevor M Shew
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States
| | - Andrew J Lutkewitte
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States
| | - Sandip Mukherjee
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States
| | - Kyle S McCommis
- Department of Biochemistry & Molecular Biology, Saint Louis University School of Medicine, United States
| | - Natalie M Niemi
- Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis, United States
| | - Brian N Finck
- Department of Medicine, Center for Human Nutrition, Washington University in St. Louis, United States.
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26
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Tanzo JT, Li VL, Wiggenhorn AL, Moya-Garzon MD, Wei W, Lyu X, Dong W, Tahir UA, Chen ZZ, Cruz DE, Deng S, Shi X, Zheng S, Guo Y, Sims M, Abu-Remaileh M, Wilson JG, Gerszten RE, Long JZ, Benson MD. CYP4F2 is a human-specific determinant of circulating N-acyl amino acid levels. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.09.531581. [PMID: 36945562 PMCID: PMC10028954 DOI: 10.1101/2023.03.09.531581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2023]
Abstract
N-acyl amino acids are a large family of circulating lipid metabolites that modulate energy expenditure and fat mass in rodents. However, little is known about the regulation and potential cardiometabolic functions of N-acyl amino acids in humans. Here, we analyze the cardiometabolic phenotype associations and genetic regulation of four plasma N-fatty acyl amino acids (N-oleoyl-leucine, N-oleoyl-phenylalanine, N-oleoyl-serine, and N-oleoyl-glycine) in 2,351 individuals from the Jackson Heart Study. N-oleoyl-leucine and N-oleoyl-phenylalanine were positively associated with traits related to energy balance, including body mass index, waist circumference, and subcutaneous adipose tissue. In addition, we identify the CYP4F2 locus as a human-specific genetic determinant of plasma N-oleoyl-leucine and N-oleoyl-phenylalanine levels. In vitro, CYP4F2-mediated hydroxylation of N-oleoyl-leucine and N-oleoyl-phenylalanine results in metabolic diversification and production of many previously unknown lipid metabolites with varying characteristics of the fatty acid tail group, including several that structurally resemble fatty acid hydroxy fatty acids (FAHFAs). By contrast, FAAH-regulated N-oleoyl-glycine and N-oleoyl-serine were inversely associated with traits related to glucose and lipid homeostasis. These data uncover a human-specific enzymatic node for the metabolism of a subset of N-fatty acyl amino acids and establish a framework for understanding the cardiometabolic roles of individual N-fatty acyl amino acids in humans.
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27
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Sanches JM, Zhao LN, Salehi A, Wollheim CB, Kaldis P. Pathophysiology of type 2 diabetes and the impact of altered metabolic interorgan crosstalk. FEBS J 2023; 290:620-648. [PMID: 34847289 DOI: 10.1111/febs.16306] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/14/2021] [Accepted: 11/29/2021] [Indexed: 02/06/2023]
Abstract
Diabetes is a complex and multifactorial disease that affects millions of people worldwide, reducing the quality of life significantly, and results in grave consequences for our health care system. In type 2 diabetes (T2D), the lack of β-cell compensatory mechanisms overcoming peripherally developed insulin resistance is a paramount factor leading to disturbed blood glucose levels and lipid metabolism. Impaired β-cell functions and insulin resistance have been studied extensively resulting in a good understanding of these pathways but much less is known about interorgan crosstalk, which we define as signaling between tissues by secreted factors. Besides hormones and organokines, dysregulated blood glucose and long-lasting hyperglycemia in T2D is associated with changes in metabolism with metabolites from different tissues contributing to the development of this disease. Recent data suggest that metabolites, such as lipids including free fatty acids and amino acids, play important roles in the interorgan crosstalk during the development of T2D. In general, metabolic remodeling affects physiological homeostasis and impacts the development of T2D. Hence, we highlight the importance of metabolic interorgan crosstalk in this review to gain enhanced knowledge of the pathophysiology of T2D, which may lead to new therapeutic approaches to treat this disease.
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Affiliation(s)
| | - Li Na Zhao
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Albert Salehi
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Claes B Wollheim
- Department of Clinical Sciences, Lund University, Malmö, Sweden.,Department of Cell Physiology and Metabolism, University of Geneva, Geneva, Switzerland
| | - Philipp Kaldis
- Department of Clinical Sciences, Lund University, Malmö, Sweden
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28
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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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29
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Amin AM, Mostafa H, Khojah HMJ. Insulin resistance in Alzheimer's disease: The genetics and metabolomics links. Clin Chim Acta 2023; 539:215-236. [PMID: 36566957 DOI: 10.1016/j.cca.2022.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 12/16/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease with significant socioeconomic burden worldwide. Although genetics and environmental factors play a role, AD is highly associated with insulin resistance (IR) disorders such as metabolic syndrome (MS), obesity, and type two diabetes mellitus (T2DM). These findings highlight a shared pathogenesis. The use of metabolomics as a downstream systems' biology (omics) approach can help to identify these shared metabolic traits and assist in the early identification of at-risk groups and potentially guide therapy. Targeting the shared AD-IR metabolic trait with lifestyle interventions and pharmacological treatments may offer promising AD therapeutic approach. In this narrative review, we reviewed the literature on the AD-IR pathogenic link, the shared genetics and metabolomics biomarkers between AD and IR disorders, as well as the lifestyle interventions and pharmacological treatments which target this pathogenic link.
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Affiliation(s)
- Arwa M Amin
- Department of Clinical and Hospital Pharmacy, College of Pharmacy, Taibah University, Madinah, Saudi Arabia.
| | - Hamza Mostafa
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona (UB), 08028 Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28029, Spain
| | - Hani M J Khojah
- Department of Clinical and Hospital Pharmacy, College of Pharmacy, Taibah University, Madinah, Saudi Arabia
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30
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Fanni G, Eriksson JW, Pereira MJ. Several Metabolite Families Display Inflexibility during Glucose Challenge in Patients with Type 2 Diabetes: An Untargeted Metabolomics Study. Metabolites 2023; 13:metabo13010131. [PMID: 36677056 PMCID: PMC9863788 DOI: 10.3390/metabo13010131] [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: 12/12/2022] [Revised: 01/06/2023] [Accepted: 01/12/2023] [Indexed: 01/18/2023] Open
Abstract
Metabolic inflexibility is a hallmark of insulin resistance and can be extensively explored with high-throughput metabolomics techniques. However, the dynamic regulation of the metabolome during an oral glucose tolerance test (OGTT) in subjects with type 2 diabetes (T2D) is largely unknown. We aimed to identify alterations in metabolite responses to OGTT in subjects with T2D using untargeted metabolomics of both plasma and subcutaneous adipose tissue (SAT) samples. Twenty subjects with T2D and twenty healthy controls matched for sex, age, and body mass index (BMI) were profiled with untargeted metabolomics both in plasma (755 metabolites) and in the SAT (588) during an OGTT. We assessed metabolite concentration changes 90 min after the glucose load, and those responses were compared between patients with T2D and controls. Post-hoc analyses were performed to explore the associations between glucose-induced metabolite responses and markers of obesity and glucose metabolism, sex, and age. During the OGTT, T2D subjects had an impaired reduction in plasma levels of several metabolite families, including acylcarnitines, amino acids, acyl ethanolamines, and fatty acid derivates (p < 0.05), compared to controls. Additionally, patients with T2D had a greater increase in plasma glucose and fructose levels during the OGTT compared to controls (p < 0.05). The plasma concentration change of most metabolites after the glucose load was mainly associated with indices of hyperglycemia rather than insulin resistance, insulin secretion, or BMI. In multiple linear regression analyses, hyperglycemia indices (glucose area under the curve (AUC) during OGTT and glycosylated hemoglobin (HbA1c)) were the strongest predictors of plasma metabolite changes during the OGTT. No differences were found in the adipose tissue metabolome in response to the glucose challenge between T2D and controls. Using a metabolomics approach, we show that T2D patients display attenuated responses in several circulating metabolite families during an OGTT. Besides the well-known increase in monosaccharides, the glucose-induced lowering of amino acids, acylcarnitines, and fatty acid derivatives was attenuated in T2D subjects compared to controls. These data support the hypothesis of inflexibility in several metabolic pathways, which may contribute to dysregulated substrate partitioning and turnover in T2D. These findings are not directly associated with changes in adipose tissue metabolism; therefore, other tissues, such as muscle and liver, are probably of greater importance.
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31
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Gumus Balikcioglu P, Jachthuber Trub C, Balikcioglu M, Ilkayeva O, White PJ, Muehlbauer M, Bain JR, Armstrong S, Freemark M. Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity. Endocrinol Diabetes Metab 2023; 6:e388. [PMID: 36415168 PMCID: PMC9836245 DOI: 10.1002/edm2.388] [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: 08/01/2022] [Revised: 10/09/2022] [Accepted: 10/16/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Insulin resistance (IR) in adolescents with obesity is associated with a sex-dependent metabolic 'signature' comprising the branched-chain amino acids (BCAAs), glutamate/glutamine, C3/C5 acylcarnitines and uric acid. Here, we compared the levels of branched-chain α-keto acids (BCKAs) and glutamate/glutamine, which are the byproducts of BCAA catabolism and uric acid among adolescents with obesity prior to and following a 6-month lifestyle-intervention program. METHODS Fasting plasma samples from 33 adolescents with obesity (16 males, 17 females, aged 12-18 year) were analysed by flow-injection tandem MS and LC-MS/MS. Multiple linear regression models were used to correlate changes in BCKAs, glutamate/glutamine and uric acid with changes in weight and insulin sensitivity as assessed by HOMA-IR, adiponectin and the ratio of triglyceride (TG) to HDL. In predictive models, BCKAs, glutamate/glutamine and uric acid at baseline were used as explanatory variables. RESULTS Baseline BCKAs, glutamate/glutamine and uric acid were higher in males than females despite comparable BMI-metrics. Following lifestyle-intervention, α-keto-β-methylvalerate (α-KMV, a metabolic by product of isoleucine) decreased in males but not in females. The ratio of BCKA/BCAA trended lower in males. In the cohort as a whole, BCKAs correlated positively with the ratio of TG to HDL at baseline and HOMA-IR at 6-month-follow-up. Glutamate/glutamine was positively associated with HOMA-IR at baseline and 6-month-follow-up. A reduction in BCKAs was associated with an increase in adiponectin, and those with higher BCKAs at baseline had higher adiponectin levels at 6-month-follow-up. Interestingly those adolescents with higher uric acid levels at baseline had greater reduction in weight. CONCLUSIONS BCKAs and glutamate/glutamine may serve as biomarkers of IR in adolescents with obesity, and uric acid might serve as a predictor of weight loss in response to lifestyle-intervention. Differential regulation of BCAA catabolism in adolescent males and females implicates critical roles for sex steroids in metabolic homeostasis.
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Affiliation(s)
- Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, North Carolina, USA.,Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
| | | | - Metin Balikcioglu
- Advanced Analytics Division, SAS Institute Inc, Cary, North Carolina, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Phillip J White
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
| | - James R Bain
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Sarah Armstrong
- Division of General Pediatrics and Adolescent Health, Duke University Medical Center, Durham, North Carolina, USA.,Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, North Carolina, USA.,Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, North Carolina, USA.,Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
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32
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Alves A, Lamarche F, Lefebvre R, Drevet Mulard E, Bassot A, Chanon S, Loizon E, Pinteur C, Bloise AMNDLG, Godet M, Rautureau GJP, Panthu B, Morio B. Glycine Supplementation in Obesity Worsens Glucose Intolerance through Enhanced Liver Gluconeogenesis. Nutrients 2022; 15:nu15010096. [PMID: 36615754 PMCID: PMC9823780 DOI: 10.3390/nu15010096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
Interactions between mitochondria and the endoplasmic reticulum, known as MAMs, are altered in the liver in obesity, which contributes to disruption of the insulin signaling pathway. In addition, the plasma level of glycine is decreased in obesity, and the decrease is strongly correlated with the severity of insulin resistance. Certain nutrients have been shown to regulate MAMs; therefore, we tested whether glycine supplementation could reduce insulin resistance in the liver by promoting MAM integrity. Glycine (5 mM) supported MAM integrity and insulin response in primary rat hepatocytes cultured under control and lipotoxic (palmitate 500 µM) conditions for 18 h. In contrast, in C57 BL/6 JOlaHsd mice (male, 6 weeks old) fed a high-fat, high-sucrose diet (HFHS) for 16 weeks, glycine supplementation (300 mg/kg) in drinking water during the last 6 weeks (HFHS-Gly) did not reverse the deleterious impact of HFHS-feeding on liver MAM integrity. In addition, glycine supplementation worsened fasting glycemia and glycemic response to intraperitoneal pyruvate injection compared to HFHS. The adverse impact of glycine supplementation on hepatic gluconeogenesis was further supported by the higher oxaloacetate/acetyl-CoA ratio in the liver in HFHS-Gly compared to HFHS. Although glycine improves MAM integrity and insulin signaling in the hepatocyte in vitro, no beneficial effect was found on the overall metabolic profile of HFHS-Gly-fed mice.
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Affiliation(s)
- Anaïs Alves
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
| | - Frédéric Lamarche
- Laboratory of Fundamental and Applied Bioenergetics, INSERM U1055, Université Grenoble Alpes, 38400 Saint Martin d’Hères, France
| | - Rémy Lefebvre
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
| | - Eva Drevet Mulard
- ICBMS CNRS U5246, Université Claude Bernard Lyon 1, Université de Lyon, 69622 Villeurbanne, France
| | - Arthur Bassot
- Erika Cosset Team, Cancer Research Centre of Lyon, UMR INSERM U1052/CNRS 5286, 69008 Lyon, France
| | - Stéphanie Chanon
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
| | - Emmanuelle Loizon
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
| | - Claudie Pinteur
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
| | - Aline Maria Nunes de Lira Gomes Bloise
- Department of Physical Education and Sport Sciences, Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Universidade Federal de Pernambuco, UFPE, 55604-000 Vitória de Santo Antão, PE, Brazil
| | - Murielle Godet
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
| | - Gilles J. P. Rautureau
- ICBMS CNRS U5246, Université Claude Bernard Lyon 1, Université de Lyon, 69622 Villeurbanne, France
- Centre de Résonance Magnétique Nucléaire à Très Hauts Champs, UMR CNRS U5082/ENS Lyon, Université Claude Bernard Lyon 1, Université de Lyon, 69100 Villeurbanne, France
| | - Baptiste Panthu
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
| | - Béatrice Morio
- CarMeN laboratory, UMR INSERM U1060/INRAE U1397, Université Claude Bernard Lyon 1, Université de Lyon, 69310 Pierre-Bénite, France
- Correspondence:
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Canet F, Christensen JJ, Victor VM, Hustad KS, Ottestad I, Rundblad A, Sæther T, Dalen KT, Ulven SM, Holven KB, Telle-Hansen VH. Glycated Proteins, Glycine, Acetate, and Monounsaturated Fatty Acids May Act as New Biomarkers to Predict the Progression of Type 2 Diabetes: Secondary Analyses of a Randomized Controlled Trial. Nutrients 2022; 14:nu14235165. [PMID: 36501195 PMCID: PMC9738624 DOI: 10.3390/nu14235165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 11/26/2022] [Accepted: 11/30/2022] [Indexed: 12/07/2022] Open
Abstract
Food protein or food-derived peptides may regulate blood glucose levels; however, studies have shown inconsistent results. The aim of the present study was to characterize subgroups of individuals with increased risk of type 2 diabetes (T2D) and to investigate the cardiometabolic effects of fish protein in the same subgroups. We first divided participants into high insuliniAUC and low insuliniAUC subjects based on their insulin incremental area under the curve (iAUC) levels after a 2 h oral glucose tolerance test (OGTT), and secondly based on whether they had received 5.2 g salmon fish protein or placebo for 8 weeks, in a previously conducted randomized controlled trial (RCT). We then profiled these groups by analyzing plasma metabolomics and peripheral blood mononuclear cell (PBMC) gene expression. Compared to the low insuliniAUC group, the high insuliniAUC group had higher plasma concentrations of monounsaturated fatty acids (MUFAs) and glycated proteins (GlycA) and lower concentrations of glycine and acetate. After intervention with fish protein compared to placebo, however, only acetate was significantly increased in the low insuliniAUC group. In conclusion, we identified metabolic biomarkers known to be associated with T2D; also, intervention with fish protein did not affect cardiometabolic risk markers in subgroups with increased risk of T2D.
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Affiliation(s)
- Francisco Canet
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), 40617 Valencia, Spain
| | - Jacob J. Christensen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway
| | - Victor M. Victor
- Service of Endocrinology and Nutrition, University Hospital Doctor Peset, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), 40617 Valencia, Spain
- Department of Physiology, School of Medicine, University of Valencia, Av Blasco Ibáñez 13, 46010 Valencia, Spain
| | - Kristin S. Hustad
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway
| | - Inger Ottestad
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway
| | - Amanda Rundblad
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway
| | - Thomas Sæther
- Department of Molecular Medicine, Institute of Basic Medical Sciences, University of Oslo, 0317 Oslo, Norway
| | - Knut Tomas Dalen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway
| | - Stine M. Ulven
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway
| | - Kirsten B. Holven
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0317 Oslo, Norway
- Norwegian National Advisory Unit on Familial Hypercholesterolemia, Oslo University Hospital Rikshospitalet, 0424 Oslo, Norway
| | - Vibeke H. Telle-Hansen
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, 0130 Oslo, Norway
- Correspondence:
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Zheng W, Li R, Zhou Y, Shi F, Song Y, Liao Y, Zhou F, Zheng X, Lv J, Li Q. Effect of dietary protein content shift on aging in elderly rats by comprehensive quantitative score and metabolomics analysis. Front Nutr 2022; 9:1051964. [DOI: 10.3389/fnut.2022.1051964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
In the protein nutrition strategy of middle-aged and elderly people, some believe that low protein is good for health, while others believe high protein is good for health. Facing the contradictory situation, the following hypothesis is proposed. There is a process of change from lower to higher ratio of protein nutritional requirements that are good for health in the human body after about 50 years of age, and the age at which the switch occurs is around 65 years of age. Hence, in this study, 50, 25-month-old male rats were randomly divided into five groups: Control (basal diet), LP (low-protein diet with a 30% decrease in protein content compared to the basal diet), HP (high-protein diet with a 30% increase in protein content compared to the basal diet), Model 1 (switched from LP to HP feed at week 4), and Model 2 (switched from LP to HP feed at week 7). After a total of 10 weeks intervention, the liver and serum samples were examined for aging-related indicators, and a newly comprehensive quantitative score was generated using principal component analysis (PCA). The effects of the five protein nutritional modalities were quantified in descending order: Model 1 > HP > LP > Control > Model 2. Furthermore, the differential metabolites in serum and feces were determined by orthogonal partial least squares discriminant analysis, and 15 differential metabolites, significantly associated with protein intake, were identified by Spearman’s correlation analysis (p < 0.05). Among the fecal metabolites, 10 were positively correlated and 3 were negatively correlated. In the serum, tyrosine and lactate levels were positively correlated, and acetate levels were negatively correlated. MetaboAnalyst analysis identified that the metabolic pathways influenced by protein intake were mainly related to amino acid and carbohydrate metabolism. The results of metabolomic analysis elucidate the mechanisms underlying the preceding effects to some degree. These efforts not only contribute to a unified protein nutrition strategy but also positively impact the building of a wiser approach to protein nutrition, thereby helping middle-aged and older populations achieve healthy aging.
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Yan Y, Smith E, Melander O, Ottosson F. The association between plasma metabolites and future risk of all-cause mortality. J Intern Med 2022; 292:804-815. [PMID: 35796403 PMCID: PMC9796397 DOI: 10.1111/joim.13540] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND Metabolite profiles provide snapshots of the overall effect of numerous exposures accumulated over life courses, which may lead to health outcomes in the future. OBJECTIVE We hypothesized that the risk of all-cause mortality is linked to alterations in metabolism earlier in life, which are reflected in plasma metabolite profiles. We aimed to identify plasma metabolites associated with future risk of all-cause mortality. METHODS Through metabolomics, 110 metabolites were measured in 3833 individuals from the Malmö Diet and Cancer-Cardiovascular Cohort (MDC-CC). A total of 1574 deaths occurred within an average follow-up time of 22.2 years. Metabolites that were significantly associated with all-cause mortality in MDC-CC were replicated in 1500 individuals from Malmö Preventive Project re-examination (MPP), among whom 715 deaths occurred within an average follow-up time of 11.3 years. RESULTS Twenty two metabolites were significantly associated with all-cause mortality in MDC-CC, of which 13 were replicated in MPP. Levels of trigonelline, glutamate, dimethylglycine, C18-1-carnitine, C16-1-carnitine, C14-1-carnitine, and 1-methyladenosine were associated with an increased risk, while levels of valine, tryptophan, lysine, leucine, histidine, and 2-aminoisobutyrate were associated with a decreased risk of all-cause mortality. CONCLUSION We used metabolomics in two Swedish prospective cohorts and identified replicable associations between 13 metabolites and future risk of all-cause mortality. Novel associations between five metabolites-C18-1-carnitine, C16-1-carnitine, C14-1-carnitine, trigonelline, and 2-aminoisobutyrate-and all-cause mortality were discovered. These findings suggest potential new biomarkers for the prediction of mortality and provide insights for understanding the biochemical pathways that lead to mortality.
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Affiliation(s)
- Yingxiao Yan
- Department of Clinical Science, Lund University, Malmö, Sweden.,Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden
| | - Einar Smith
- Department of Clinical Science, Lund University, Malmö, Sweden
| | - Olle Melander
- Department of Clinical Science, Lund University, Malmö, Sweden
| | - Filip Ottosson
- Department of Clinical Science, Lund University, Malmö, Sweden.,Section for Clinical Mass Spectrometry, Danish Center for Neonatal Screening, Department of Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
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Chen ZZ, Pacheco JA, Gao Y, Deng S, Peterson B, Shi X, Zheng S, Tahir UA, Katz DH, Cruz DE, Ngo D, Benson MD, Robbins JM, Guo X, del Rocio Sevilla Gonzalez M, Manning A, Correa A, Meigs JB, Taylor KD, Rich SS, Goodarzi MO, Rotter JI, Wilson JG, Clish CB, Gerszten RE. Nontargeted and Targeted Metabolomic Profiling Reveals Novel Metabolite Biomarkers of Incident Diabetes in African Americans. Diabetes 2022; 71:2426-2437. [PMID: 35998269 PMCID: PMC9630088 DOI: 10.2337/db22-0033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 07/26/2022] [Indexed: 01/25/2023]
Abstract
Nontargeted metabolomics methods have increased potential to identify new disease biomarkers, but assessments of the additive information provided in large human cohorts by these less biased techniques are limited. To diversify our knowledge of diabetes-associated metabolites, we leveraged a method that measures 305 targeted or "known" and 2,342 nontargeted or "unknown" compounds in fasting plasma samples from 2,750 participants (315 incident cases) in the Jackson Heart Study (JHS)-a community cohort of self-identified African Americans-who are underrepresented in omics studies. We found 307 unique compounds (82 known) associated with diabetes after adjusting for age and sex at a false discovery rate of <0.05 and 124 compounds (35 known, including 11 not previously associated) after further adjustments for BMI and fasting plasma glucose. Of these, 144 and 68 associations, respectively, replicated in a multiethnic cohort. Among these is an apparently novel isomer of the 1-deoxyceramide Cer(m18:1/24:0) with functional geonomics and high-resolution mass spectrometry. Overall, known and unknown metabolites provided complementary information (median correlation ρ = 0.29), and their inclusion with clinical risk factors improved diabetes prediction modeling. Our findings highlight the importance of including nontargeted metabolomics methods to provide new insights into diabetes development in ethnically diverse cohorts.
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Affiliation(s)
- Zsu-Zsu Chen
- Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center, Boston, MA
- Harvard School of Medicine, Boston, MA
| | | | - Yan Gao
- University of Mississippi Medical Center, Jacksonville, MS
| | - Shuliang Deng
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Bennet Peterson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Xu Shi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Shuning Zheng
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Usman A. Tahir
- Harvard School of Medicine, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Daniel H. Katz
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Daniel E. Cruz
- Harvard School of Medicine, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Debby Ngo
- Harvard School of Medicine, Boston, MA
- Division of Pulmonary, Critical Care, and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Mark D. Benson
- Harvard School of Medicine, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Jeremy M. Robbins
- Harvard School of Medicine, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Magdalena del Rocio Sevilla Gonzalez
- Harvard School of Medicine, Boston, MA
- Broad Institute of MIT and Harvard, Boston, MA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Alisa Manning
- Harvard School of Medicine, Boston, MA
- Broad Institute of MIT and Harvard, Boston, MA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Adolfo Correa
- University of Mississippi Medical Center, Jacksonville, MS
| | - James B. Meigs
- Harvard School of Medicine, Boston, MA
- Broad Institute of MIT and Harvard, Boston, MA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Stephen S. Rich
- University of Virginia School of Medicine, Charlottesville, VA
| | - Mark O. Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - James G. Wilson
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
| | | | - Robert E. Gerszten
- Harvard School of Medicine, Boston, MA
- Broad Institute of MIT and Harvard, Boston, MA
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, MA
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Ramzan I, Ardavani A, Vanweert F, Mellett A, Atherton PJ, Idris I. The Association between Circulating Branched Chain Amino Acids and the Temporal Risk of Developing Type 2 Diabetes Mellitus: A Systematic Review & Meta-Analysis. Nutrients 2022; 14:4411. [PMID: 36297095 PMCID: PMC9610746 DOI: 10.3390/nu14204411] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 10/11/2022] [Accepted: 10/11/2022] [Indexed: 11/17/2022] Open
Abstract
Introduction: Recent studies have concluded that elevated circulating branched chain amino acids (BCAA) are associated with the pathogenesis of type 2 diabetes mellitus (T2DM) and obesity. However, the development of this association over time and the quantification of the strength of this association for individual BCAAs prior to T2DM diagnosis remains unexplored. Methods: A systematic search was conducted using the Healthcare Databases Advance Search (HDAS) via the National Institute for Health and Care Excellence (NICE) website. The data sources included EMBASE, MEDLINE and PubMed for all papers from inception until November 2021. Nine studies were identified in this systematic review and meta-analysis. Stratification was based on follow-up times (0−6, 6−12 and 12 or more years) and controlling of body mass index (BMI) through the specific assessment of overweight cohorts was also undertaken. Results: The meta-analysis revealed a statistically significant positive association between BCAA concentrations and the development of T2DM, with valine OR = 2.08 (95% CI = 2.04−2.12, p < 0.00001), leucine OR = 2.25 (95% CI = 1.76−2.87, p < 0.00001) and isoleucine OR = 2.12, 95% CI = 2.00−2.25, p < 0.00001. In addition, we demonstrated a positive consistent temporal association between circulating BCAA levels and the risk of developing T2DM with differentials in the respective follow-up times of 0−6 years, 6−12 years and ≥12 years follow-up for valine (OR = 2.08, 1.86 and 2.14, p < 0.05 each), leucine (OR = 2.10, 2.25 and 2.16, p < 0.05 each) and isoleucine (OR = 2.12, 1.90 and 2.16, p < 0.05 each) demonstrated. Conclusion: Plasma BCAA concentrations are associated with T2DM incidence across all temporal subgroups. We suggest the potential utility of BCAAs as an early biomarker for T2DM irrespective of follow-up time.
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Affiliation(s)
- Imran Ramzan
- Clinical, Metabolic and Molecular Physiology Research Group, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Royal Derby Hospital Centre, University of Nottingham, Derby DE22 6DT, UK
- National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Nottingham NG7 2UH, UK
| | - Arash Ardavani
- Clinical, Metabolic and Molecular Physiology Research Group, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Royal Derby Hospital Centre, University of Nottingham, Derby DE22 6DT, UK
- National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Nottingham NG7 2UH, UK
| | - Froukje Vanweert
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Aisling Mellett
- Clinical, Metabolic and Molecular Physiology Research Group, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Royal Derby Hospital Centre, University of Nottingham, Derby DE22 6DT, UK
- School of Agriculture and Food Science, Agriculture and Food Science Centre, University College Dublin, Belfield, D04 V1W8 Dublin, Ireland
| | - Philip J. Atherton
- Clinical, Metabolic and Molecular Physiology Research Group, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Royal Derby Hospital Centre, University of Nottingham, Derby DE22 6DT, UK
- National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Nottingham NG7 2UH, UK
| | - Iskandar Idris
- Clinical, Metabolic and Molecular Physiology Research Group, MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, Royal Derby Hospital Centre, University of Nottingham, Derby DE22 6DT, UK
- National Institute for Health Research (NIHR), Nottingham Biomedical Research Centre, Nottingham NG7 2UH, UK
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Fang X, Miao R, Wei J, Wu H, Tian J. Advances in multi-omics study of biomarkers of glycolipid metabolism disorder. Comput Struct Biotechnol J 2022; 20:5935-5951. [PMID: 36382190 PMCID: PMC9646750 DOI: 10.1016/j.csbj.2022.10.030] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 10/16/2022] [Accepted: 10/20/2022] [Indexed: 11/30/2022] Open
Abstract
Glycolipid metabolism disorder are major threats to human health and life. Genetic, environmental, psychological, cellular, and molecular factors contribute to their pathogenesis. Several studies demonstrated that neuroendocrine axis dysfunction, insulin resistance, oxidative stress, chronic inflammatory response, and gut microbiota dysbiosis are core pathological links associated with it. However, the underlying molecular mechanisms and therapeutic targets of glycolipid metabolism disorder remain to be elucidated. Progress in high-throughput technologies has helped clarify the pathophysiology of glycolipid metabolism disorder. In the present review, we explored the ways and means by which genomics, transcriptomics, proteomics, metabolomics, and gut microbiomics could help identify novel candidate biomarkers for the clinical management of glycolipid metabolism disorder. We also discuss the limitations and recommended future research directions of multi-omics studies on these diseases.
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Kivelä J, Meinilä J, Uusitupa M, Tuomilehto J, Lindström J. Longitudinal Branched-Chain Amino Acids, Lifestyle Intervention, and Type 2 Diabetes in the Finnish Diabetes Prevention Study. J Clin Endocrinol Metab 2022; 107:2844-2853. [PMID: 35917829 PMCID: PMC9516128 DOI: 10.1210/clinem/dgac463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Indexed: 12/05/2022]
Abstract
CONTEXT Circulating branched-chain amino acids (BCAAs) are associated with the risk of type 2 diabetes (T2D). OBJECTIVE We examined to what extent lifestyle intervention aiming to prevent T2D interacts with this association and how BCAA concentrations change during the intervention. METHODS We computed trajectory clusters by k-means clustering of serum fasting BCAAs analyzed annually by mass spectrometry during a 4-year intervention. We investigated whether baseline BCAAs, BCAA trajectories, and BCAA change trajectories predicted T2D and whether BCAAs predicted T2D differently in the intervention (n = 198) and control group (n = 196). RESULTS Elevated baseline BCAAs predicted the incidence of T2D in the control group (hazard ratio [HR] 1.05 per 10 μmol/L, P = 0.01), but not in the intervention group. BCAA concentration decreased during the first year in the whole cohort (mean -14.9 μmol/L, P < 0.001), with no significant difference between the groups. We identified 5 BCAA trajectory clusters and 5 trajectory clusters for the change in BCAAs. Trajectories with high mean BCAA levels were associated with an increased HR for T2D compared with the trajectory with low BCAA levels (trajectory with highest vs lowest BCAA, HR 4.0; P = 0.01). A trajectory with increasing BCAA levels had a higher HR for T2D compared with decreasing trajectory in the intervention group only (HR 25.4, P < 0.001). CONCLUSION Lifestyle intervention modified the association of the baseline BCAA concentration and BCAA trajectories with the incidence of T2D. Our study adds to the accumulating evidence on the mechanisms behind the effect of lifestyle changes on the risk of T2D.
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Affiliation(s)
- Jemina Kivelä
- Correspondence: Jemina Kivelä, MSc, Finnish Institute for Health and Welfare (THL), Mannerheimintie 166, PO Box 30, FI-00271 Helsinki, Finland.
| | - Jelena Meinilä
- Department of Food and Nutrition, University of Helsinki, 00014 Helsinki, Finland
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Jaakko Tuomilehto
- Population Health Unit, Finnish Institute of Health and Welfare, 00271 Helsinki, Finland
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, 80200 Jeddah, Saudi Arabia
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Jaana Lindström
- Population Health Unit, Finnish Institute of Health and Welfare, 00271 Helsinki, Finland
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Wang S, Li M, Lin H, Wang G, Xu Y, Zhao X, Hu C, Zhang Y, Zheng R, Hu R, Shi L, Du R, Su Q, Wang J, Chen Y, Yu X, Yan L, Wang T, Zhao Z, Liu R, Wang X, Li Q, Qin G, Wan Q, Chen G, Xu M, Dai M, Zhang D, Tang X, Gao Z, Shen F, Luo Z, Qin Y, Chen L, Huo Y, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Lai S, Mu Y, Chen L, Li D, Xu G, Ning G, Wang W, Bi Y, Lu J. Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study. Cell Rep Med 2022; 3:100727. [PMID: 35998626 PMCID: PMC9512668 DOI: 10.1016/j.xcrm.2022.100727] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/16/2022] [Accepted: 07/22/2022] [Indexed: 11/26/2022]
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Vanweert F, Schrauwen P, Phielix E. Role of branched-chain amino acid metabolism in the pathogenesis of obesity and type 2 diabetes-related metabolic disturbances BCAA metabolism in type 2 diabetes. Nutr Diabetes 2022; 12:35. [PMID: 35931683 PMCID: PMC9356071 DOI: 10.1038/s41387-022-00213-3] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 06/15/2022] [Accepted: 07/05/2022] [Indexed: 12/23/2022] Open
Abstract
Branched-chain amino acid (BCAA) catabolism has been considered to have an emerging role in the pathogenesis of metabolic disturbances in obesity and type 2 diabetes (T2D). Several studies showed elevated plasma BCAA levels in humans with insulin resistance and patients with T2D, although the underlying reason is unknown. Dysfunctional BCAA catabolism could theoretically be an underlying factor. In vitro and animal work collectively show that modulation of the BCAA catabolic pathway alters key metabolic processes affecting glucose homeostasis, although an integrated understanding of tissue-specific BCAA catabolism remains largely unknown, especially in humans. Proof-of-concept studies in rodents -and to a lesser extent in humans – strongly suggest that enhancing BCAA catabolism improves glucose homeostasis in metabolic disorders, such as obesity and T2D. In this review, we discuss several hypothesized mechanistic links between BCAA catabolism and insulin resistance and overview current available tools to modulate BCAA catabolism in vivo. Furthermore, this review considers whether enhancing BCAA catabolism forms a potential future treatment strategy to promote metabolic health in insulin resistance and T2D.
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Affiliation(s)
- Froukje Vanweert
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Patrick Schrauwen
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Esther Phielix
- Department of Nutrition and Movement Sciences, NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands.
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Associations of serum amino acids with insulin resistance among people with and without overweight or obesity: A prospective study in Japan. Clin Nutr 2022; 41:1827-1833. [PMID: 35839544 DOI: 10.1016/j.clnu.2022.06.039] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 06/15/2022] [Accepted: 06/21/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND & AIMS Limited evidence exists regarding the prospective associations between amino acids and insulin resistance. In addition, amino acids have been suggested to promote insulin resistance with the requirement of obesity in animal studies, but the interaction between amino acids and obesity on the development of insulin resistance has not been examined in epidemiological studies. We aimed to investigate the differences in the prospective associations of serum amino acids with insulin resistance among adults with and without overweight or obesity. METHODS Fasting serum concentrations of 25 amino acids were quantified in 1131 non-diabetic Japanese workers aged 22-71 years at baseline. The homeostasis model assessment of insulin resistance (HOMA-IR) was estimated at baseline and the 3-year follow-up. Generalized linear models were used to assess the associations between amino acids at baseline and HOMA-IR at follow-up with adjustment for potential confounding factors. A Bonferroni-corrected threshold of p = 0.001 was considered significant for multiple tests. RESULTS The associations for the following amino acids with HOMA-IR at the 3-year follow-up significantly varied by obesity status: isoleucine, valine, tyrosine, alanine, and methionine (all p for interaction <0.05). Higher concentrations of serum isoleucine, valine, tyrosine, and alanine (per 1SD) were significantly associated with higher HOMA-IR levels in overweight/obese participants (multivariable-adjusted β coefficients ranging from 0.09 to 0.12; all p < 0.001), but no association was observed in the underweight/normal-weight participants. The associations for serum methionine were direct among overweight/obese participants, but inverse among underweight/normal-weight participants (all p < 0.001). CONCLUSIONS This study demonstrated the prospective associations of different individual serum amino acids with insulin resistance, with most pronounced associations being for overweight/obese adults. Our findings support the possibility of heterogeneous effects of individual amino acids, as well as their interplay with obesity in the progression of insulin resistance.
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Xu F, Zhu Y, Lu M, Qin L, Zhao D, Ren T. Effects of Hydroxy-Alpha-Sanshool on Intestinal Metabolism in Insulin-Resistant Mice. Foods 2022; 11:foods11142040. [PMID: 35885283 PMCID: PMC9322383 DOI: 10.3390/foods11142040] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 11/16/2022] Open
Abstract
To explore the hydroxy-alpha-sanshool (HAS) effects on the intestinal metabolites of insulin-resistant mice, the blank group (BG), model group (MG), and HAS dose group (DG) were designed. The insulin resistance (IR) model was induced through streptozotocin (STZ) combined with a high-fat and high-sugar diet. Based on the availability of the model, the HAS dose was given by gavage for 28 days. The determination of cecum and key serum indexes was made, including the contents of insulin (INS), triglycerides (TG), total cholesterol (TC), glycosylated serum protein (GSP), and glycosylated hemoglobin (GHb). The changes in gut microbiota and metabolites in cecal contents were detected by 16S rRNA gene amplicon sequencing and UPLC/HRMS technology, respectively. The results that the levels of GSP, GHb, TG, and TC were significantly increased; this was not the case for INS; or for the changes in the gut microbiota and metabolites in MG. However, the intervention of HAS effectively reversed these changes, for instance, it decreased levels of GSP, GHb, TG, TC, and alterations of metabolite composition for linoleic acid and tyrosine metabolism and recovered trends of declining species diversity and richness of the gut microbiota in MG. It was indicated that HAS alleviated IR by regulating the gut microbiota and metabolites and affecting lipid and amino acid metabolism pathways.
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Affiliation(s)
- Fangyan Xu
- College of Brewing and Food Engineering, Guizhou University, Guiyang 550025, China; (F.X.); (M.L.); (L.Q.); (D.Z.)
| | - Yuping Zhu
- School of Basic Medicine, Guizhou Medical University, Guiyang 550025, China;
| | - Mintao Lu
- College of Brewing and Food Engineering, Guizhou University, Guiyang 550025, China; (F.X.); (M.L.); (L.Q.); (D.Z.)
| | - Likang Qin
- College of Brewing and Food Engineering, Guizhou University, Guiyang 550025, China; (F.X.); (M.L.); (L.Q.); (D.Z.)
| | - Degang Zhao
- College of Brewing and Food Engineering, Guizhou University, Guiyang 550025, China; (F.X.); (M.L.); (L.Q.); (D.Z.)
- Guiyang Station for DUS Testing Center of New Plant Varieties of the Ministry of Agriculture and Rural Affairs of the People’s Republic of China in Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
| | - Tingyuan Ren
- College of Brewing and Food Engineering, Guizhou University, Guiyang 550025, China; (F.X.); (M.L.); (L.Q.); (D.Z.)
- Guiyang Station for DUS Testing Center of New Plant Varieties of the Ministry of Agriculture and Rural Affairs of the People’s Republic of China in Guizhou Academy of Agricultural Sciences, Guiyang 550006, China
- Correspondence:
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Grenier-Larouche T, Coulter Kwee L, Deleye Y, Leon-Mimila P, Walejko JM, McGarrah RW, Marceau S, Trahan S, Racine C, Carpentier AC, Lusis AJ, Ilkayeva O, Vohl MC, Huertas-Vazquez A, Tchernof A, Shah SH, Newgard CB, White PJ. Altered branched-chain α-keto acid metabolism is a feature of NAFLD in individuals with severe obesity. JCI Insight 2022; 7:159204. [PMID: 35797133 PMCID: PMC9462486 DOI: 10.1172/jci.insight.159204] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 07/06/2022] [Indexed: 11/17/2022] Open
Abstract
Hepatic de novo lipogenesis is influenced by the branched-chain α-keto acid dehydrogenase (BCKDH) kinase (BCKDK). Here, we aimed to determine whether circulating levels of the immediate substrates of BCKDH, the branched-chain α-keto acids (BCKAs), and hepatic BCKDK expression are associated with the presence and severity of nonalcoholic fatty liver disease (NAFLD). Eighty metabolites (3 BCKAs, 14 amino acids, 43 acylcarnitines, 20 ceramides) were quantified in plasma from 288 patients with bariatric surgery with severe obesity and scored liver biopsy samples. Metabolite principal component analysis factors, BCKAs, branched-chain amino acids (BCAAs), and the BCKA/BCAA ratio were tested for associations with steatosis grade and presence of nonalcoholic steatohepatitis (NASH). Of all analytes tested, only the Val-derived BCKA, α-keto-isovalerate, and the BCKA/BCAA ratio were associated with both steatosis grade and NASH. Gene expression analysis in liver samples from 2 independent bariatric surgery cohorts showed that hepatic BCKDK mRNA expression correlates with steatosis, ballooning, and levels of the lipogenic transcription factor SREBP1. Experiments in AML12 hepatocytes showed that SREBP1 inhibition lowered BCKDK mRNA expression. These findings demonstrate that higher plasma levels of BCKA and hepatic expression of BCKDK are features of human NAFLD/NASH and identify SREBP1 as a transcriptional regulator of BCKDK.
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Affiliation(s)
- Thomas Grenier-Larouche
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Lydia Coulter Kwee
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Yann Deleye
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Paola Leon-Mimila
- Department of Medicine/Division of Cardiology, UCLA, Los Angeles, United States of America
| | - Jacquelyn M Walejko
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Robert W McGarrah
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Simon Marceau
- Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Quebec, Canada
| | - Sylvain Trahan
- Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Quebec, Canada
| | - Christine Racine
- Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Quebec, Canada
| | - André C Carpentier
- Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, Canada
| | - Aldons J Lusis
- Department of Medicine/Division of Cardiology, UCLA, Los Angeles, United States of America
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods, Université Laval, Quebec, Canada
| | | | - Andre Tchernof
- Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval, Quebec, Canada
| | - Svati H Shah
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
| | - Phillip J White
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, United States of America
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45
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Vasishta S, Ganesh K, Umakanth S, Joshi MB. Ethnic disparities attributed to the manifestation in and response to type 2 diabetes: insights from metabolomics. Metabolomics 2022; 18:45. [PMID: 35763080 PMCID: PMC9239976 DOI: 10.1007/s11306-022-01905-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 04/13/2022] [Indexed: 11/21/2022]
Abstract
Type 2 diabetes (T2D) associated health disparities among different ethnicities have long been known. Ethnic variations also exist in T2D related comorbidities including insulin resistance, vascular complications and drug response. Genetic heterogeneity, dietary patterns, nutrient metabolism and gut microbiome composition attribute to ethnic disparities in both manifestation and progression of T2D. These factors differentially regulate the rate of metabolism and metabolic health. Metabolomics studies have indicated significant differences in carbohydrate, lipid and amino acid metabolism among ethnicities. Interestingly, genetic variations regulating lipid and amino acid metabolism might also contribute to inter-ethnic differences in T2D. Comprehensive and comparative metabolomics analysis between ethnicities might help to design personalized dietary regimen and newer therapeutic strategies. In the present review, we explore population based metabolomics data to identify inter-ethnic differences in metabolites and discuss how (a) genetic variations, (b) dietary patterns and (c) microbiome composition may attribute for such differences in T2D.
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Affiliation(s)
- Sampara Vasishta
- Department of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, 576104, Manipal, India
| | - Kailash Ganesh
- Department of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, 576104, Manipal, India
| | | | - Manjunath B Joshi
- Department of Ageing Research, Manipal School of Life Sciences, Manipal Academy of Higher Education, 576104, Manipal, India.
- Manipal School of Life Sciences, Planetarium Complex Manipal Academy of Higher Education Manipal, 576104, Manipal, India.
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Zhang H, Xiang L, Huo M, Wu Y, Yu M, Lau CW, Tian D, Gou L, Huang Y, Luo JY, Wang L, Song W, Huang J, Cai Z, Chen S, Tian XY, Huang Y. Branched-chain amino acid supplementation impairs insulin sensitivity and promotes lipogenesis during exercise in diet-induced obese mice. Obesity (Silver Spring) 2022; 30:1205-1218. [PMID: 35357085 DOI: 10.1002/oby.23394] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 01/07/2022] [Accepted: 01/10/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVE Branched-chain amino acids (BCAAs) are popular dietary supplements for exercise. However, increased BCAA levels positively correlate with obesity and diabetes. The metabolic impact of BCAA supplementation on insulin sensitivity during exercise is less understood. METHODS Male C57BL/6 mice were fed for 12 weeks with a high-fat diet, normal chow diet, or BCAA-restricted high-fat diet. They were subjected to running exercise with or without BCAA treatment for another 12 weeks. RESULTS Exercise reduced body weight, improved insulin sensitivity, lowered BCAAs in plasma, and inhibited the upregulation of BCAAs and metabolites caused by BCAA supplementation in the subcutaneous white adipose tissue (sWAT) of obese mice. BCAA supplementation reversed insulin sensitivity ameliorated by exercise. The phosphorylation of protein kinase B (Ser473 and Ser474) was decreased by BCAAs in the sWAT of obese mice. However, BCAA supplementation had no such effects in lean mice. BCAAs also increased the expression of fatty acid synthase and other lipogenesis genes in the sWAT of exercised obese mice. BCAA restriction had no effect on body weight and insulin sensitivity in obese mice. CONCLUSIONS BCAA supplementation impaired the beneficial effect of exercise on glycolipid metabolism in obese but not lean mice. Caution should be taken regarding the use of BCAAs for individuals with obesity who exercise.
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Affiliation(s)
- Hongsong Zhang
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Li Xiang
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Mingyu Huo
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Yalan Wu
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Mingyang Yu
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Chi Wai Lau
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Danyang Tian
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Lingshan Gou
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Yuhong Huang
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Jiang-Yun Luo
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Li Wang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China
| | - Wencong Song
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Juan Huang
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong, China
| | - Shaoliang Chen
- Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiao Yu Tian
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
| | - Yu Huang
- School of Biomedical Sciences, Chinese University of Hong Kong, Hong Kong, China
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China
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47
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Han K, Ma J, Dou J, Hao D, Zhu W, Yu X, Zheng W, Song Y, Shi F, Li Q. A Clinical Trial of the Effects of a Dietary Pattern on Health Metrics and Fecal Metabolites in Volunteers With Risk of Cardiovascular Disease. Front Nutr 2022; 9:853365. [PMID: 35619960 PMCID: PMC9128613 DOI: 10.3389/fnut.2022.853365] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/04/2022] [Indexed: 11/06/2022] Open
Abstract
The phenomenon of longevity in Guangxi of China proved to be closely relevant to its specific dietary habits, but the exact effects of this diet on health remain to be explored. In this work, fourteen screened volunteers with cardiovascular disease (CVD) risk followed a novel dietary pattern derived from centenarians of Guangxi, China for 2 weeks, then the effects of diet on human health were explored by measuring the health metrics and fecal metabolites. The results showed that the short-term dietary intervention significantly decreased the body weight, body mass index (BMI), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c), mean systolic blood pressure (SBP), and diastolic blood pressure (DBP) levels, while it significantly increased high-density lipoprotein cholesterol (HDL-c) levels. Orthogonal partial least squares discriminant analysis (OPLS-DA) indicated a distinct separation in the fecal metabolic profiles of volunteers before and after the intervention. Nine of these metabolites showed significant differences, including two metabolites increased (butyrate and citrulline), seven metabolites decreased (threonine, choline, glycine, aspartate, alanine, N-acetylglutamic acid and lysine). Pathway and enrichment analysis showed that the reduction in CVD risk by dietary intervention mainly affected five pathways, which include arginine biosynthesis; aminoacyl-tRNA biosynthesis; glycine, serine and threonine metabolism; alanine, aspartate and glutamate metabolism; and valine, leucine and isoleucine biosynthesis. Herein, the Guangxi longevity dietary pattern can provide a feasible healthy diet strategy for reducing the CVD risk and human beings. Clinical Trial Registration [http://www.chictr.org.cn], identifier [ChiCTR220 0058216].
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Affiliation(s)
- Kunchen Han
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Jinke Ma
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Junxia Dou
- Department of Biotechnology Engineering, Taishan Polytechnic, Taian, China
| | - Dan Hao
- Department of Pharmacology and Nutritional Science, University of Kentucky, Lexington, KY, United States
| | - Wenjun Zhu
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Xiaohan Yu
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Wenxuan Zheng
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Yao Song
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Fengcui Shi
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
| | - Quanyang Li
- School of Light Industry and Food Engineering, Guangxi University, Nanning, China
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48
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Metabolomic Analysis of Serum and Tear Samples from Patients with Obesity and Type 2 Diabetes Mellitus. Int J Mol Sci 2022; 23:ijms23094534. [PMID: 35562924 PMCID: PMC9105607 DOI: 10.3390/ijms23094534] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 12/14/2022] Open
Abstract
Metabolomics strategies are widely used to examine obesity and type 2 diabetes (T2D). Patients with obesity (n = 31) or T2D (n = 26) and sex- and age-matched controls (n = 28) were recruited, and serum and tear samples were collected. The concentration of 23 amino acids and 10 biogenic amines in serum and tear samples was analyzed. Statistical analysis and Pearson correlation analysis along with network analysis were carried out. Compared to controls, changes in the level of 6 analytes in the obese group and of 10 analytes in the T2D group were statistically significant. For obesity, the energy generation, while for T2D, the involvement of NO synthesis and its relation to insulin signaling and inflammation, were characteristic. We found that BCAA and glutamine metabolism, urea cycle, and beta-oxidation make up crucial parts of the metabolic changes in T2D. According to our data, the retromer-mediated retrograde transport, the ethanolamine metabolism, and, consequently, the endocannabinoid signaling and phospholipid metabolism were characteristic of both conditions and can be relevant pathways to understanding and treating insulin resistance. By providing potential therapeutic targets and new starting points for mechanistic studies, our results emphasize the importance of complex data analysis procedures to better understand the pathomechanism of obesity and diabetes.
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49
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Jian H, Xu Q, Wang X, Liu Y, Miao S, Li Y, Mou T, Dong X, Zou X. Amino Acid and Fatty Acid Metabolism Disorders Trigger Oxidative Stress and Inflammatory Response in Excessive Dietary Valine-Induced NAFLD of Laying Hens. Front Nutr 2022; 9:849767. [PMID: 35495903 PMCID: PMC9040670 DOI: 10.3389/fnut.2022.849767] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 02/24/2022] [Indexed: 12/24/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a chronic and metabolic liver disease and commonly occurs in humans with obesity and type 2 diabetes mellitus (T2DM); such a condition also exists in animals such as rodents and laying hens. Since the pathogenesis of fatty liver hemorrhagic syndrome (FLHS) of laying hens is similar to human NAFLD, hen's FLHS is commonly selected as a study model of NAFLD. Altered circulating amino acids, particularly elevated branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs), are consistently reported in patients with NAFLD and T2DM. How long-term dietary individual BCAA, such as valine, impacts amino acid and fatty acid metabolism remains unknown. In this study, we demonstrated that when laying hens are fed with dietary valine at different levels (59, 0.64, 0.69, 0.74, and 0.79%) in a feeding trial that lasted for 8 weeks, long-term exposure to excessive valine diets at 0.74 and 0.79% levels could induce amino acid imbalance, impair amino acid metabolism, increase fatty acid synthesis, and inhibit fatty acid utilization. Long-term intake of excessive dietary valine could result in impaired amino acid metabolism via inhibiting C/EBP-β/asparagine synthetase (Asns). This process is mediated by downregulating the general control nonderepressible-eukaryotic initiation factor 2α- activating transcription factor (GCN2-eIF2α-ATF4) pathway and elevating corresponding circulating BCAAs and AAAs levels, which could ultimately result in amino acid imbalance. High levels of dietary valine stimulated lipid deposition by suppressing the GCN2-eIF2α-ATF4-fibroblast growth factor-19 (FGF19)-target of rapamycin complex 1 (TORC1) signaling pathway to promote fatty acid synthesis, repress fatty acid utilization, and eventually accelerate the development of NAFLD. The Spearman correlation analysis revealed that circulating amino acid imbalance is significantly associated with fatty acid metabolism disorder and enhanced oxidative stress. The inhibition of the GCN2-TORC1 pathway induced autophagy suppression to trigger liver oxidative stress and inflammatory response. In conclusion, our results revealed the adverse metabolic response to excessive dietary valine mediated by amino acid and fatty acid metabolism disorders. This study also suggested reducing dietary valine as a novel approach to preventing and treating NAFLD in humans and FLHS in laying hens.
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Affiliation(s)
- Huafeng Jian
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Qianqian Xu
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Xiaoming Wang
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Yating Liu
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Sasa Miao
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Yan Li
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Tianming Mou
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Xinyang Dong
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
| | - Xiaoting Zou
- Institute of Feed Science, College of Animal Sciences, Zhejiang University, Hangzhou, China
- The National Engineering Laboratory for Feed Safety and Pollution Prevention and Controlling, National Development and Reform Commission, Zhejiang University, Hangzhou, China
- Key Laboratory of Molecular Animal Nutrition, Ministry of Education, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Nutrition and Feed Science, Ministry of Agriculture and Rural Affairs, Zhejiang University, Hangzhou, China
- Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Zhejiang University, Hangzhou, China
- *Correspondence: Xiaoting Zou
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50
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Morze J, Wittenbecher C, Schwingshackl L, Danielewicz A, Rynkiewicz A, Hu FB, Guasch-Ferré M. Metabolomics and Type 2 Diabetes Risk: An Updated Systematic Review and Meta-analysis of Prospective Cohort Studies. Diabetes Care 2022; 45:1013-1024. [PMID: 35349649 PMCID: PMC9016744 DOI: 10.2337/dc21-1705] [Citation(s) in RCA: 92] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/20/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Due to the rapidly increasing availability of metabolomics data in prospective studies, an update of the meta evidence on metabolomics and type 2 diabetes risk is warranted. PURPOSE To conduct an updated systematic review and meta-analysis of plasma, serum, and urine metabolite markers and incident type 2 diabetes. DATA SOURCES We searched PubMed and Embase until 6 March 2021. STUDY SELECTION We selected prospective observational studies where investigators used high-throughput techniques to investigate the relationship between plasma, serum, or urine metabolites and incident type 2 diabetes. DATA EXTRACTION Baseline metabolites per-SD risk estimates and 95% CIs for incident type 2 diabetes were extracted from all eligible studies. DATA SYNTHESIS A total of 61 reports with 71,196 participants and 11,771 type 2 diabetes cases/events were included in the updated review. Meta-analysis was performed for 412 metabolites, of which 123 were statistically significantly associated (false discovery rate-corrected P < 0.05) with type 2 diabetes risk. Higher plasma and serum levels of certain amino acids (branched-chain, aromatic, alanine, glutamate, lysine, and methionine), carbohydrates and energy-related metabolites (mannose, trehalose, and pyruvate), acylcarnitines (C4-DC, C4-OH, C5, C5-OH, and C8:1), the majority of glycerolipids (di- and triacylglycerols), (lyso)phosphatidylethanolamines, and ceramides included in meta-analysis were associated with higher risk of type 2 diabetes (hazard ratio 1.07-2.58). Higher levels of glycine, glutamine, betaine, indolepropionate, and (lyso)phosphatidylcholines were associated with lower type 2 diabetes risk (hazard ratio 0.69-0.90). LIMITATIONS Substantial heterogeneity (I2 > 50%, τ2 > 0.1) was observed for some of the metabolites. CONCLUSIONS Several plasma and serum metabolites, including amino acids, lipids, and carbohydrates, are associated with type 2 diabetes risk.
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Affiliation(s)
- Jakub Morze
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Cardiology and Internal Medicine, School of Medicine, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
- Department of Human Nutrition, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
| | - Clemens Wittenbecher
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Lukas Schwingshackl
- Institute for Evidence in Medicine, Medical Centre—University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Anna Danielewicz
- Department of Human Nutrition, Faculty of Food Sciences, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
| | - Andrzej Rynkiewicz
- Department of Cardiology and Internal Medicine, School of Medicine, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland
| | - Frank B. Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division for Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
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