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Verkerke ARP, Wang D, Yoshida N, Taxin ZH, Shi X, Zheng S, Li Y, Auger C, Oikawa S, Yook JS, Granath-Panelo M, He W, Zhang GF, Matsushita M, Saito M, Gerszten RE, Mills EL, Banks AS, Ishihama Y, White PJ, McGarrah RW, Yoneshiro T, Kajimura S. BCAA-nitrogen flux in brown fat controls metabolic health independent of thermogenesis. Cell 2024; 187:2359-2374.e18. [PMID: 38653240 PMCID: PMC11145561 DOI: 10.1016/j.cell.2024.03.030] [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: 07/24/2023] [Revised: 01/07/2024] [Accepted: 03/21/2024] [Indexed: 04/25/2024]
Abstract
Brown adipose tissue (BAT) is best known for thermogenesis. Rodent studies demonstrated that enhanced BAT thermogenesis is tightly associated with increased energy expenditure, reduced body weight, and improved glucose homeostasis. However, human BAT is protective against type 2 diabetes, independent of body weight. The mechanism underlying this dissociation remains unclear. Here, we report that impaired mitochondrial catabolism of branched-chain amino acids (BCAAs) in BAT, by deleting mitochondrial BCAA carriers (MBCs), caused systemic insulin resistance without affecting energy expenditure and body weight. Brown adipocytes catabolized BCAA in the mitochondria as nitrogen donors for the biosynthesis of non-essential amino acids and glutathione. Impaired mitochondrial BCAA-nitrogen flux in BAT resulted in increased oxidative stress, decreased hepatic insulin signaling, and decreased circulating BCAA-derived metabolites. A high-fat diet attenuated BCAA-nitrogen flux and metabolite synthesis in BAT, whereas cold-activated BAT enhanced the synthesis. This work uncovers a metabolite-mediated pathway through which BAT controls metabolic health beyond thermogenesis.
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Affiliation(s)
- Anthony R P Verkerke
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Dandan Wang
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Naofumi Yoshida
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Zachary H Taxin
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Xu Shi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Shuning Zheng
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Yuka Li
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, Japan
| | - Christopher Auger
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Satoshi Oikawa
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Jin-Seon Yook
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Melia Granath-Panelo
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA
| | - Wentao He
- Duke Molecular Physiology Institute, Duke School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University, Durham, NC, USA
| | - Guo-Fang Zhang
- Duke Molecular Physiology Institute, Duke School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University, Durham, NC, USA
| | - Mami Matsushita
- Department of Nutrition, School of Nursing and Nutrition, Tenshi College, Sapporo, Japan
| | - Masayuki Saito
- Laboratory of Biochemistry, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Japan
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Evanna L Mills
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute and Department of Immunology, Harvard Medical School, Boston, MA, USA
| | - Alexander S Banks
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Yasushi Ishihama
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, Japan
| | - Phillip J White
- Duke Molecular Physiology Institute, Duke School of Medicine, Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA
| | - Robert W McGarrah
- Duke Molecular Physiology Institute, Duke School of Medicine, Sarah W. Stedman Nutrition and Metabolism Center, Department of Medicine, Division of Cardiology, Duke University, Durham, NC, USA
| | - Takeshi Yoneshiro
- Division of Metabolic Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan; Division of Molecular Physiology and Metabolism, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shingo Kajimura
- Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, and Howard Hughes Medical Institute, Boston, MA, USA.
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Kiseleva OI, Pyatnitskiy MA, Arzumanian VA, Kurbatov IY, Ilinsky VV, Ilgisonis EV, Plotnikova OA, Sharafetdinov KK, Tutelyan VA, Nikityuk DB, Ponomarenko EA, Poverennaya EV. Multiomics Picture of Obesity in Young Adults. BIOLOGY 2024; 13:272. [PMID: 38666884 PMCID: PMC11048234 DOI: 10.3390/biology13040272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/02/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024]
Abstract
Obesity is a socially significant disease that is characterized by a disproportionate accumulation of fat. It is also associated with chronic inflammation, cancer, diabetes, and other comorbidities. Investigating biomarkers and pathological processes linked to obesity is especially vital for young individuals, given their increased potential for lifestyle modifications. By comparing the genetic, proteomic, and metabolomic profiles of individuals categorized as underweight, normal, overweight, and obese, we aimed to determine which omics layer most accurately reflects the phenotypic changes in an organism that result from obesity. We profiled blood plasma samples by employing three omics methodologies. The untargeted GC×GC-MS metabolomics approach identified 313 metabolites. To augment the metabolomic dataset, we integrated a label-free HPLC-MS/MS proteomics method, leading to the identification of 708 proteins. The genomic layer encompassed the genotyping of 647,250 SNPs. Utilizing omics data, we trained sparse Partial Least Squares models to predict body mass index. Molecular features exhibiting frequently non-zero coefficients were selected as potential biomarkers, and we further explored enriched biological pathways. Proteomics was the most effective in single-omics analyses, with a median absolute error (MAE) of 5.44 ± 0.31 kg/m2, incorporating an average of 24 proteins per model. Metabolomics showed slightly lower performance (MAE = 6.06 ± 0.33 kg/m2), followed by genomics (MAE = 6.20 ± 0.34 kg/m2). As expected, multiomic models demonstrated better accuracy, particularly the combination of proteomics and metabolomics (MAE = 4.77 ± 0.33 kg/m2), while including genomics data did not enhance the results. This manuscript is the first multiomics study of obesity in a gender-balanced cohort of young adults profiled by genomic, proteomic, and metabolomic methods. The comprehensive approach provides novel insights into the molecular mechanisms of obesity, opening avenues for more targeted interventions.
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Affiliation(s)
- Olga I. Kiseleva
- Institute of Biomedical Chemistry, Moscow 119121, Russia; (O.I.K.)
| | - Mikhail A. Pyatnitskiy
- Institute of Biomedical Chemistry, Moscow 119121, Russia; (O.I.K.)
- Faculty of Computer Science, National Research University Higher School of Economics, Moscow 101000, Russia
| | | | - Ilya Y. Kurbatov
- Institute of Biomedical Chemistry, Moscow 119121, Russia; (O.I.K.)
| | | | | | - Oksana A. Plotnikova
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Moscow 109240, Russia
| | - Khaider K. Sharafetdinov
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Moscow 109240, Russia
- Russian Medical Academy of Continuing Professional Education, Ministry of Health of the Russian Federation, Moscow 125993, Russia
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of the Russian Federation, Moscow 119991, Russia
| | - Victor A. Tutelyan
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Moscow 109240, Russia
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of the Russian Federation, Moscow 119991, Russia
| | - Dmitry B. Nikityuk
- Federal Research Centre of Nutrition, Biotechnology and Food Safety, Russian Academy of Sciences, Moscow 109240, Russia
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Ministry of Health of the Russian Federation, Moscow 119991, Russia
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Myrmel LS, Øyen J, Brantsæter AL, Fjære E, Haugvaldstad K, Birkeland KI, Nygård O, Kristiansen K, Egeland GM, Madsen L. Intake of different types of seafood and meat and risk of type 2 diabetes in women: a prospective study supported by a dietary intervention in mice. Sci Rep 2024; 14:8950. [PMID: 38637574 PMCID: PMC11026463 DOI: 10.1038/s41598-024-59491-9] [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: 09/25/2023] [Accepted: 04/11/2024] [Indexed: 04/20/2024] Open
Abstract
Detailed knowledge regarding the associations between intake of different types of seafood and meat and the risk of type 2 diabetes (T2D), and insight into possible mechanisms are warranted. In this study we aimed to evaluate the associations between intake of different types of seafood and meat and the subsequent risk of T2D using the Norwegian Mother, Father, and Child Cohort Study (MoBa), and furthermore, by using a mouse model to gain further insight into possible molecular mechanisms contributing to the associated metabolic changes. Women in MoBa who were free of pharmacologically treated diabetes at baseline (n = 60,777) were prospectively evaluated for incident T2D, identified on the basis of medication usages > 90 days after delivery, ascertained by the Norwegian Prescription Database. Dietary intake was obtained with a validated 255-item food frequency questionnaire which assessed habitual diet during the first 4-5 months of pregnancy. Metabolic phenotypes and plasma metabolome were investigated in female mice fed isocaloric diets with different types of seafood and meat mimicking the dietary intake in the human cohort. During maximum 10-year and mean (SD) 7.2 (1.6) years follow-up time, 681 (1.1%) women developed pharmacologically treated T2D. All statistical models identified a higher risk of T2D with increased shellfish intake, whereas no associations were observed for total seafood, fatty fish, total meat and red meat in the adjusted models. In mice, the shellfish-based western diet induced reduced glucose tolerance and insulin secretion compared to the diet based on lean fish, and we identified a number of metabolites elevated in plasma from shellfish-fed mice that correlated with glucose intolerance. Mice fed a western diet based on meat also exhibited reduced glucose tolerance in comparison to lean fish fed mice, whereas mice fed fatty fish, total seafood or red meat did not differ from lean fish fed mice. We observed a diet-specific metabolic signature in plasma demonstrating five distinct metabolite profiles in mice fed shellfish, fatty fish, total seafood/lean fish, a mixed diet and meat. In conclusion, these findings demonstrate that different types of seafood have different outcome on T2D risk. In women, intake of shellfish was associated with higher risk of T2D. In female mice, a shellfish enriched diet reduced glucose tolerance and altered the abundance of several distinct plasma metabolites correlating with glucose tolerance.
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Affiliation(s)
- Lene S Myrmel
- Institute of Marine Research, Nordnes, P.O. Box 1870, 5817, Bergen, Norway
| | - Jannike Øyen
- Institute of Marine Research, Nordnes, P.O. Box 1870, 5817, Bergen, Norway.
| | - Anne Lise Brantsæter
- Department of Food Safety, Centre for Sustainable Diets, Norwegian Institute of Public Health, Skøyen, P.O. Box 222, 0213, Oslo, Norway
| | - Even Fjære
- Institute of Marine Research, Nordnes, P.O. Box 1870, 5817, Bergen, Norway
| | - Karen Haugvaldstad
- Institute of Marine Research, Nordnes, P.O. Box 1870, 5817, Bergen, Norway
| | - Kåre I Birkeland
- Department of Transplantation Medicine, Oslo University Hospital, and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ottar Nygård
- Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Mohn Nutrition Research Laboratory, University of Bergen, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Karsten Kristiansen
- Department of Biology, University of Copenhagen, Universitetsparken 13, Copenhagen Ø, Denmark
| | - Grace M Egeland
- Department of Health Registry Research and Development, Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Sentrum, P.O. Box 973, 5808, Bergen, Norway
- Department of Global Public Health and Primary Care, University of Bergen, P.O. Box 7800, 5200, Bergen, Norway
| | - Lise Madsen
- Institute of Marine Research, Nordnes, P.O. Box 1870, 5817, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, P. O. Box 7804, 5200, Bergen, Norway
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Hernandez N, Lokhnygina Y, Ramaker ME, Ilkayeva O, Muehlbauer MJ, Crawford ML, Grant RP, Hsia DS, Jain N, Bain JR, Armstrong S, Newgard CB, Freemark M, Gumus Balikcioglu P. Sex Differences in Branched-chain Amino Acid and Tryptophan Metabolism and Pathogenesis of Youth-onset Type 2 Diabetes. J Clin Endocrinol Metab 2024; 109:e1345-e1358. [PMID: 38066593 PMCID: PMC10940256 DOI: 10.1210/clinem/dgad708] [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: 04/02/2023] [Indexed: 03/16/2024]
Abstract
OBJECTIVES Insulin resistance is associated with elevations in plasma branched-chain amino acids (BCAAs). BCAAs compete with aromatic amino acids including tryptophan for uptake into β cells. To explore relationships between BCAAs and tryptophan metabolism, adiposity, and glucose tolerance, we compared urine metabolites in overweight/obese youth with type 2 diabetes (T2D) with those in nondiabetic overweight/obese and lean youth. METHODS Metabolites were measured in 24-hour and first-morning urine samples of 56 nondiabetic adolescents with overweight/obesity, 42 adolescents with T2D, and 43 lean controls, aged 12 to 21 years. Group differences were assessed by Kruskal Wallis or ANOVA. RESULTS Groups were comparable for age, pubertal status, and ethnicity. Youth with T2D were predominantly female and had highest percent body fat. BCAAs, branched-chain ketoacids (BCKAs), tryptophan, and kynurenine were higher in urine of subjects with T2D. There were no differences between lean controls and nondiabetic youth with overweight/obesity. T2D was associated with diversion of tryptophan from the serotonin to the kynurenine pathway, with higher urinary kynurenine/serotonin ratio and lower serotonin/tryptophan and 5-HIAA/kynurenine ratios. Urinary BCAAs, BCKAs, tryptophan, and ratios reflecting diversion to the kynurenine pathway correlated positively with metrics of body fat and hemoglobin A1c. Increases in these metabolites in the obese T2D group were more pronounced and statistically significant only in adolescent girls. CONCLUSION Increases in urinary BCAAs and BCKAs in adolescent females with T2D are accompanied by diversion of tryptophan metabolism from the serotonin to the kynurenine pathway. These adaptations associate with higher risks of T2D in obese adolescent females than adolescent males.
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Affiliation(s)
- Natalie Hernandez
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC 27710, USA
| | - Yuliya Lokhnygina
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC 27701, USA
| | - Megan Elizabeth Ramaker
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
- Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
| | - Matthew L Crawford
- Department of Research and Development, LabCorp, Burlington, NC 27215, USA
| | - Russell P Grant
- Department of Research and Development, LabCorp, Burlington, NC 27215, USA
| | - Daniel S Hsia
- Clinical Trials Unit, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Nina Jain
- Division of Endocrinology, Department of Pediatrics, University of North Carolina, Chapel Hill, NC 27514, USA
| | - James R Bain
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
- Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
| | - Sarah Armstrong
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC 27701, USA
- Division of General Pediatrics and Adolescent Health, Duke University Medical Center, Durham, NC 27710, USA
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University Medical Center, Durham, NC 27710, USA
| | - Christopher B Newgard
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
- Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC 27710, USA
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
| | - Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC 27710, USA
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
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Ratter-Rieck JM, Shi M, Suhre K, Prehn C, Adamski J, Rathmann W, Thorand B, Roden M, Peters A, Wang-Sattler R, Herder C. Omentin associates with serum metabolite profiles indicating lower diabetes risk: KORA F4 Study. BMJ Open Diabetes Res Care 2024; 12:e003865. [PMID: 38442989 PMCID: PMC11148672 DOI: 10.1136/bmjdrc-2023-003865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 02/01/2024] [Indexed: 03/07/2024] Open
Abstract
INTRODUCTION Circulating omentin levels have been positively associated with insulin sensitivity. Although a role for adiponectin in this relationship has been suggested, underlying mechanisms remain elusive. In order to reveal the relationship between omentin and systemic metabolism, this study aimed to investigate associations of serum concentrations of omentin and metabolites. RESEARCH DESIGN AND METHODS This study is based on 1124 participants aged 61-82 years from the population-based KORA (Cooperative Health Research in the Region of Augsburg) F4 Study, for whom both serum omentin levels and metabolite concentration profiles were available. Associations were assessed with five multivariable regression models, which were stepwise adjusted for multiple potential confounders, including age, sex, body mass index, waist-to-hip ratio, lifestyle markers (physical activity, smoking behavior and alcohol consumption), serum adiponectin levels, high-density lipoprotein cholesterol, use of lipid-lowering or anti-inflammatory medication, history of myocardial infarction and stroke, homeostasis model assessment 2 of insulin resistance, diabetes status, and use of oral glucose-lowering medication and insulin. RESULTS Omentin levels significantly associated with multiple metabolites including amino acids, acylcarnitines, and lipids (eg, sphingomyelins and phosphatidylcholines (PCs)). Positive associations for several PCs, such as diacyl (PC aa C32:1) and alkyl-alkyl (PC ae C32:2), were significant in models 1-4, whereas those with hydroxytetradecenoylcarnitine (C14:1-OH) were significant in all five models. Omentin concentrations were negatively associated with several metabolite ratios, such as the valine-to-PC ae C32:2 and the serine-to-PC ae C32:2 ratios in most models. CONCLUSIONS Our results suggest that omentin may influence insulin sensitivity and diabetes risk by changing systemic lipid metabolism, but further mechanistic studies investigating effects of omentin on metabolism of insulin-sensitive tissues are needed.
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Affiliation(s)
- Jacqueline M Ratter-Rieck
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, Neuherberg, Germany
| | - Mengya Shi
- TUM School of Medicine and Health, Technical University of Munich (TUM), Munich, Germany
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Partner Neuherberg, Neuherberg, Germany
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar
| | - Cornelia Prehn
- Metabolomics and Proteomics Core, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jerzy Adamski
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Wolfgang Rathmann
- German Center for Diabetes Research, Partner Düsseldorf, Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Barbara Thorand
- German Center for Diabetes Research, Partner Neuherberg, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Michael Roden
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Annette Peters
- German Center for Diabetes Research, Partner Neuherberg, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Rui Wang-Sattler
- Institute of Translational Genomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Partner Neuherberg, Neuherberg, Germany
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
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Yin JM, Li Y, Xue JT, Zong GW, Fang ZZ, Zou L. Explainable Machine Learning-Based Prediction Model for Diabetic Nephropathy. J Diabetes Res 2024; 2024:8857453. [PMID: 38282659 PMCID: PMC10821806 DOI: 10.1155/2024/8857453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/26/2023] [Accepted: 12/29/2023] [Indexed: 01/30/2024] Open
Abstract
The aim of this study is to analyze the effect of serum metabolites on diabetic nephropathy (DN) and predict the prevalence of DN through a machine learning approach. The dataset consists of 548 patients from April 2018 to April 2019 in the Second Affiliated Hospital of Dalian Medical University (SAHDMU). We select the optimal 38 features through a least absolute shrinkage and selection operator (LASSO) regression model and a 10-fold cross-validation. We compare four machine learning algorithms, including extreme gradient boosting (XGB), random forest, decision tree, and logistic regression, by AUC-ROC curves, decision curves, and calibration curves. We quantify feature importance and interaction effects in the optimal predictive model by Shapley additive explanation (SHAP) method. The XGB model has the best performance to screen for DN with the highest AUC value of 0.966. The XGB model also gains more clinical net benefits than others, and the fitting degree is better. In addition, there are significant interactions between serum metabolites and duration of diabetes. We develop a predictive model by XGB algorithm to screen for DN. C2, C5DC, Tyr, Ser, Met, C24, C4DC, and Cys have great contribution in the model and can possibly be biomarkers for DN.
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Affiliation(s)
- Jing-Mei Yin
- School of Mathematics and Computational Science Xiangtan University, Xiangtan, Hunan, China
| | - Yang Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jun-Tang Xue
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Guo-Wei Zong
- Department of Mathematics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Zhong-Ze Fang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
| | - Lang Zou
- School of Mathematics and Computational Science Xiangtan University, Xiangtan, Hunan, China
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7
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Lu H, Wang Z, Cao B, Cong F, Wang X, Wei W. Dietary sources of branched-chain fatty acids and their biosynthesis, distribution, and nutritional properties. Food Chem 2024; 431:137158. [PMID: 37604010 DOI: 10.1016/j.foodchem.2023.137158] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 08/05/2023] [Accepted: 08/13/2023] [Indexed: 08/23/2023]
Abstract
Branched-chain fatty acids (BCFAs) consist of a wide variety of fatty acids with alkyl branching of methyl group. The most common BCFAs are the types with one methyl group (mmBCFA) on the penultimate carbon (iBCFA) or the antepenultimate carbon (aiBCFA). Long-chain mmBCFAs are widely existing in animal fats, milks and are mostly derived from bacteria in the diet or animal digestive system. Recent studies show that BCFAs benefit human intestinal health and immune homeostasis, but the connection between their content, distribution in the human and their nutritional functions are not well established. In this paper, we reviewed BCFAs from various dietary sources focused on their molecular species. The BCFAs biosynthesis in bacteria, Caenorhabditis elegans, mammals and their distribution in human tissues are summarized. This paper also discusses the nutritional properties of BCFAs including influences on intestinal health, immunoregulatory effects, anti-carcinoma, and anti-obesity activities, by highlighting the most recent research progress.
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Affiliation(s)
- Huijia Lu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Zhen Wang
- Wilmar (Shanghai) Biotechnology Research & Development Center, Shanghai 200137, China; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China
| | - Bo Cao
- Wilmar (Shanghai) Biotechnology Research & Development Center, Shanghai 200137, China
| | - Fang Cong
- Wilmar (Shanghai) Biotechnology Research & Development Center, Shanghai 200137, China.
| | - Xingguo Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China
| | - Wei Wei
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China; Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China.
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8
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Imai D, Nakanishi N, Shinagawa N, Yamamoto S, Ichikawa T, Sumi M, Matsui T, Hosomi Y, Hasegawa Y, Munekawa C, Miyoshi T, Okamura T, Kitagawa N, Hashimoto Y, Okada H, Sakui N, Sasano R, Hamaguchi M, Fukui M. Association of Elevated Serum Branched-chain Amino Acid Levels With Longitudinal Skeletal Muscle Loss. J Endocr Soc 2024; 8:bvad178. [PMID: 38213909 PMCID: PMC10783241 DOI: 10.1210/jendso/bvad178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Indexed: 01/13/2024] Open
Abstract
Context Branched-chain amino acids (BCAA) are substrates for protein synthesis. Although their intake may contribute to an increase in skeletal muscle mass, elevated serum BCAA levels have been reported to be associated with insulin resistance, potentially resulting in decreased skeletal muscle mass. Objective This study aimed to explore the association between elevated serum BCAA levels and longitudinal skeletal muscle loss. Design and Setting A cohort analysis was conducted, in which serum amino acids were analyzed in healthy individuals who underwent a medical health checkup at Kameoka Municipal Hospital (HOZUGAWA study), Japan. Patients Seventy-one participants (37 men and 34 women) underwent follow-up checkups after the baseline visit. The follow-up duration was 1.2 ± .4 years. Main Outcome Measures The relationship between fasting baseline serum BCAA levels and lifestyle factors, body composition, blood test results, dietary history, and changes in skeletal muscle mass was evaluated. Results In both men and women, serum BCAA levels were positively correlated with body weight, body mass index, skeletal muscle mass index (SMI), and serum triglycerides but inversely correlated with serum high-density lipoprotein cholesterol. In men, fasting serum BCAA levels were inversely associated with the rate of change in SMI (adjusted β = -.529, P = .006), and elevated BCAA levels were independently associated with a longitudinal decrease in skeletal muscle mass (odds ratio: 1.740; 95% confidence interval: 1.023-2.960 per 50 nmol/mL serum BCAAs increase). Conclusion Increased circulating BCAAs could be an indicator of skeletal muscle loss in men.
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Affiliation(s)
- Dan Imai
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Naoko Nakanishi
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Natsuko Shinagawa
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Shinta Yamamoto
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Takahiro Ichikawa
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Madoka Sumi
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Takaaki Matsui
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Yukako Hosomi
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Yuka Hasegawa
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Chihiro Munekawa
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Tomoki Miyoshi
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
- Department of Diabetology and Endocrinology, Kyoto Okamoto Memorial Hospital, Kyoto, 613-0034, Japan
| | - Takuro Okamura
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Noriyuki Kitagawa
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
- Department of Diabetology, Kameoka Municipal Hospital, Kyoto, 621-8585, Japan
| | - Yoshitaka Hashimoto
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
- Department of Diabetes and Endocrinology, Matsushita Memorial Hospital, Moriguchi, 570-8540, Japan
| | - Hiroshi Okada
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | | | | | - Masahide Hamaguchi
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
| | - Michiaki Fukui
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, 602-8566, Japan
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9
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Paz-Graniel I, García-Gavilán JF, Ros E, Connelly MA, Babio N, Mantzoros CS, Salas-Salvadó J. Adherence to the Mediterranean diet and nuclear magnetic resonance spectroscopy biomarkers in older individuals at high cardiovascular disease risk: cross-sectional and longitudinal analyses. Am J Clin Nutr 2024; 119:108-116. [PMID: 37949173 DOI: 10.1016/j.ajcnut.2023.11.003] [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: 04/13/2023] [Revised: 10/19/2023] [Accepted: 11/06/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND The Mediterranean diet (MedDiet) has been related to a decreased risk of cardiovascular disease (CVD) and diabetes. OBJECTIVES We aimed to prospectively assess the relationship between adherence to the MedDiet and advanced lipoprotein subclass profiles and glucose metabolism and inflammation markers, as determined by nuclear magnetic resonance (NMR) spectroscopy. DESIGN We conducted cross-sectional and longitudinal analyses within the framework of the PREvención con DIeta MEDiterránea study in 196 participants from the Reus-Tarragona center. Adherence to the MedDiet was assessed using a 14-item validated questionnaire [Mediterranean Diet Adherence Score (MEDAS)]. Plasma lipoprotein subclasses and molecular metabolite profiles were determined using NMR spectra collected on a Vantera Clinical Analyzer at baseline and after 1 y of follow-up. Baseline and 1-y categories of MEDAS were related to measures of lipoprotein atherogenicity and diabetes risk using multivariable-adjusted analysis of covariance models. RESULTS Compared with participants in the lowest category of baseline MEDAS, those in the highest category showed higher concentrations of total high-density lipoprotein (HDL) particles and H1P HDL, lower concentrations of very low-density lipoprotein (VLDL)-triglyceride, smaller size of VLDL, and lower concentrations of very large VLDL, as well as lower concentrations of branched-chain amino acids, leucine, and GlycA and reduced Diabetes Risk Index (DRI) scores. In addition, participants who increased by 3 or more points in their 1-y MEDAS showed an increase in concentrations of H7P-HDL, H5P-HDL, and citrate, and reduced acetone and DRI scores compared with those with lesser adherence increases. CONCLUSIONS In older adults at high cardiometabolic risk, higher MEDAS was associated with modest beneficial changes in lipoprotein and glucose metabolism. The results suggest that lipoprotein subclass distribution and glycemic control are potential mechanisms behind the well-known salutary effects of MedDiet on CVD and diabetes risk. Future clinical trials exploring the effects of the MedDiet on advanced lipoprotein subclass profiles and glucose metabolism markers are needed to confirm the results of our study. TRIAL REGISTRATION NUMBER This trial was registered at controlled-trials.com as ISRCTN35739639.
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Affiliation(s)
- Indira Paz-Graniel
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Jesús F García-Gavilán
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
| | - Emilio Ros
- CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Lipid Clinic, Department of Endocrinology and Nutrition, Agust Pi i Sunyer Biomedical Research Institute (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Nancy Babio
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
| | - Christos S Mantzoros
- Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, United States; Section of Endocrinology, VA Boston Healthcare System, Jamaica Plain, MA, United States
| | - Jordi Salas-Salvadó
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentaciò, Nutrició Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain; CIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain.
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10
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Duerre DJ, Hansen JK, John S, Jen A, Carrillo N, Bui H, Bao Y, Fabregat M, Overmeyer K, Shishkova E, Keller MP, Anderson RA, Cryns VL, Attie AD, Coon JJ, Fan J, Galmozzi A. Heme biosynthesis regulates BCAA catabolism and thermogenesis in brown adipose tissue. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.28.568893. [PMID: 38076785 PMCID: PMC10705273 DOI: 10.1101/2023.11.28.568893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
With age, people tend to accumulate body fat and reduce energy expenditure 1 . Brown (BAT) and beige adipose tissue dissipate heat and increase energy expenditure via the activity of the uncoupling protein UCP1 and other thermogenic futile cycles 2,3 . The activity of brown and beige depots inversely correlates with BMI and age 4-11 , suggesting that promoting thermogenesis may be an effective approach for combating age-related metabolic disease 12-15 . Heme is an enzyme cofactor and signaling molecule that we recently showed to regulate BAT function 16 . Here, we show that heme biosynthesis is the primary contributor to intracellular heme levels in brown adipocytes. Inhibition of heme biosynthesis leads to mitochondrial dysfunction and reduction in UCP1. Although supplementing heme can restore mitochondrial function in heme-synthesis-deficient cells, the downregulation of UCP1 persists due to the accumulation of the heme precursors, particularly propionyl-CoA, which is a product of branched-chain amino acids (BCAA) catabolism. Cold exposure promotes BCAA uptake in BAT, and defects in BCAA catabolism in this tissue hinder thermogenesis 17 . However, BCAAs' contribution to the TCA cycle in BAT and WAT never exceeds 2% of total TCA flux 18 . Our work offers a way to integrate current literature by describing heme biosynthesis as an important metabolic sink for BCAAs.
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11
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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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12
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Khocht A, Paster B, Lenoir L, Irani C, Fraser G. Metabolomic profiles of obesity and subgingival microbiome in periodontally healthy individuals: A cross-sectional study. J Clin Periodontol 2023; 50:1455-1466. [PMID: 37536958 DOI: 10.1111/jcpe.13860] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 07/19/2023] [Accepted: 07/22/2023] [Indexed: 08/05/2023]
Abstract
AIM Since blood metabolomic profiles of obese individuals are known to be altered, our objective was to examine the association between obesity-related metabolic patterns and subgingival microbial compositions in obese and non-obese periodontally healthy individuals. MATERIALS AND METHODS Thirty-nine periodontally healthy subjects were enrolled. Based on body mass index scores, 20 subjects were categorized as lean and 19 as obese. A comprehensive periodontal examination was performed. Subgingival plaque and blood samples were collected. Plaque samples were analysed for bacteria using 16S rDNA sequencing. Untargeted metabolomic profiling (mass spectrometry) was used to quantify metabolites in serum. RESULTS Obese subjects were statistically associated with several periodontopathic taxa including Dialister invisus, Prevotella intermedia, Prevotella denticola, Fusobacterium nucleatum_subsp.vincentii, Mogibacterium diversum, Parvimonas micra and Shuttleworthia satelles. In obese individuals, an amino acid-related metabolic pattern was elevated; however, there was a decrease in metabolic patterns related to lipids and cofactor/vitamins. These metabolic perturbations were associated with multiple subgingival bacterial species that differentiated lean from obese individuals. CONCLUSIONS Obesity-related perturbations in circulating blood metabolites are associated with the development of periodontopathic bacterial colonization in the subgingival microbiome and consequently may increase the risk for periodontal disease in obese individuals.
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Affiliation(s)
- Ahmed Khocht
- Department of Periodontics, School of Dentistry, Loma Linda University, Loma Linda, California, USA
| | - Bruce Paster
- Department of Molecular Genetics, Forsyth Institute, Cambridge, Massachusetts, USA
| | - Leticia Lenoir
- Department of Periodontics, School of Dentistry, Loma Linda University, Loma Linda, California, USA
| | - Crissy Irani
- Institute for Community Partnerships, Loma Linda University Health, Loma Linda, California, USA
| | - Gary Fraser
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, California, USA
- School of Public Health, Loma Linda University, Loma Linda, California, USA
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13
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Regan JA, Mentz RJ, Nguyen M, Green JB, Truby LK, Ilkayeva O, Newgard CB, Buse JB, Sourij H, Sjöström CD, Sattar N, McGarrah RW, Zheng Y, McGuire DK, Standl E, Armstrong P, Peterson ED, Hernandez AF, Holman RR, Shah SH. Mitochondrial metabolites predict adverse cardiovascular events in individuals with diabetes. JCI Insight 2023; 8:e168563. [PMID: 37552540 PMCID: PMC10544215 DOI: 10.1172/jci.insight.168563] [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: 01/06/2023] [Accepted: 07/25/2023] [Indexed: 08/10/2023] Open
Abstract
Metabolic mechanisms underlying the heterogeneity of major adverse cardiovascular (CV) event (MACE) risk in individuals with type 2 diabetes mellitus (T2D) remain unclear. We hypothesized that circulating metabolites reflecting mitochondrial dysfunction predict incident MACE in T2D. Targeted mass-spectrometry profiling of 60 metabolites was performed on baseline plasma samples from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS; discovery cohort) and Exenatide Study of Cardiovascular Event Lowering (EXSCEL; validation cohort) biomarker substudy cohorts. A principal components analysis metabolite factor comprising medium-chain acylcarnitines (MCACs) was associated with MACE in TECOS and validated in EXSCEL, with higher levels associated with higher MACE risk. Meta-analysis showed that long-chain acylcarnitines (LCACs) and dicarboxylacylcarnitines were also associated with MACE. Metabolites remained associated with MACE in multivariate models and favorably changed with exenatide therapy. A third cohort (Cardiac Catheterization Genetics [CATHGEN]) with T2D was assessed to determine whether these metabolites improved discriminative capability of multivariate models for MACE. Nine metabolites (MCACs and LCACs and 1 dicarboxylacylcarnitine) were associated with time to MACE in the CATHGEN cohort. Addition of these metabolites to clinical models minimally improved the discriminative capability for MACE but did significantly down reclassify risk. Thus, metabolites reporting on dysregulated mitochondrial fatty acid oxidation are present in higher levels in individuals with T2D who experience subsequent MACE. These biomarkers may improve CV risk prediction models, be therapy responsive, and highlight emerging risk mechanisms.
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Affiliation(s)
- Jessica A. Regan
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Duke University Department of Medicine, Durham, North Carolina, USA
| | - Robert J. Mentz
- Duke University Department of Medicine, Durham, North Carolina, USA
- Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Maggie Nguyen
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
| | - Jennifer B. Green
- Duke University Department of Medicine, Durham, North Carolina, USA
- Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Lauren K. Truby
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Duke University Department of Medicine, Durham, North Carolina, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Duke University Department of Medicine, Durham, North Carolina, USA
| | | | - John B. Buse
- University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, North Carolina, USA
| | - Harald Sourij
- Department of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, Graz, Austria
| | - C. David Sjöström
- Late-stage Development, Cardiovascular, Renal and Metabolism, Biopharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Robert W. McGarrah
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Duke University Department of Medicine, Durham, North Carolina, USA
| | - Yinggan Zheng
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
| | - Darren K. McGuire
- University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA
| | - Eberhard Standl
- Diabetes Research Group at Munich Helmholtz Center, Munich, Germany
| | - Paul Armstrong
- Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
| | - Eric D. Peterson
- University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas, Texas, USA
| | - Adrian F. Hernandez
- Duke University Department of Medicine, Durham, North Carolina, USA
- Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Rury R. Holman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Svati H. Shah
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Duke University Department of Medicine, Durham, North Carolina, USA
- Duke Clinical Research Institute, Durham, North Carolina, USA
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14
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Gong L, Zhao S, Chu X, Yang H, Li Y, Wei S, Li F, Zhang Y, Li S, Jiang P. Assessment of cold exposure-induced metabolic changes in mice using untargeted metabolomics. Front Mol Biosci 2023; 10:1228771. [PMID: 37719264 PMCID: PMC10500074 DOI: 10.3389/fmolb.2023.1228771] [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: 05/26/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023] Open
Abstract
Background: Cold exposure (CE) can effectively modulate adipose tissue metabolism and improve metabolic health. Although previous metabolomics studies have primarily focused on analyzing one or two samples from serum, brown adipose tissue (BAT), white adipose tissue (WAT), and liver samples, there is a significant lack of simultaneous analysis of multiple tissues regarding the metabolic changes induced by CE in mice. Therefore, our study aims to investigate the metabolic profiles of the major tissues involved. Methods: A total of 14 male C57BL/6J mice were randomly assigned to two groups: the control group (n = 7) and the CE group (n = 7). Metabolite determination was carried out using gas chromatography-mass spectrometry (GC-MS), and multivariate analysis was employed to identify metabolites exhibiting differential expression between the two groups. Results: In our study, we identified 32 discriminant metabolites in BAT, 17 in WAT, 21 in serum, 7 in the liver, 16 in the spleen, and 26 in the kidney, respectively. Among these metabolites, amino acids, fatty acids, and nucleotides emerged as the most significantly altered compounds. These metabolites were found to be associated with 12 differential metabolic pathways closely related to amino acids, fatty acids, and energy metabolism. Conclusion: Our study may provide valuable insights into the metabolic effects induced by CE, and they have the potential to inspire novel approaches for treating metabolic diseases.
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Affiliation(s)
| | - Shiyuan Zhao
- Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Shandong First Medical University, Jining, China
- Institute of Translational Pharmacy, Jining Medical Research Academy, Jining, China
| | - Xue Chu
- Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Shandong First Medical University, Jining, China
| | - Hui Yang
- Tengzhou Central People’s Hospital, Tengzhou, China
| | - Yanan Li
- College of Marine Life Sciences, Ocean University of China, Qingdao, China
| | - Shanshan Wei
- Department of Pharmacy, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Graduate Department, Shandong First Medical University (Shandong Academy of Medical Sciences), Jinan, China
| | - Fengfeng Li
- Tengzhou Central People’s Hospital, Tengzhou, China
| | - Yazhou Zhang
- Tengzhou Central People’s Hospital, Tengzhou, China
| | - Shuhui Li
- Tengzhou Central People’s Hospital, Tengzhou, China
| | - Pei Jiang
- Translational Pharmaceutical Laboratory, Jining First People’s Hospital, Shandong First Medical University, Jining, China
- Institute of Translational Pharmacy, Jining Medical Research Academy, Jining, China
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15
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Becetti I, Lauze M, Lee H, Bredella MA, Misra M, Singhal V. Changes in Branched-Chain Amino Acids One Year after Sleeve Gastrectomy in Youth with Obesity and Their Association with Changes in Insulin Resistance. Nutrients 2023; 15:3801. [PMID: 37686833 PMCID: PMC10489782 DOI: 10.3390/nu15173801] [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: 08/11/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Adults with obesity have a reduction in branched-chain amino acid (BCAA) levels following metabolic and bariatric surgery (MBS), which is hypothesized to contribute to the metabolic advantages of MBS. We examined this relationship in 62 youth 13-24 years old with severe obesity (47 female) over 12 months. Thirty had sleeve gastrectomy (SG) and 32 were non-surgical controls (NS). We measured fasting insulin, glucose, glycated hemoglobin (HbA1c), isoleucine, leucine, and valine concentrations, and post-prandial insulin and glucose, following a mixed meal tolerance test. Twenty-four-hour food recalls were collected. At baseline, groups did not differ in the intake or the serum levels of BCAAs, HbA1C, HOMA-IR, Matsuda index, insulinogenic index, or oral Disposition index (oDI). Over 12 months, SG vs. NS had greater reductions in serum BCAAs, and SG had significant reductions in BCAA intake. SG vs. NS had greater reductions in HbA1c and HOMA-IR, with increases in the Matsuda index and oDI. In SG, baseline leucine and total BCAA concentrations were negatively correlated with the baseline Matsuda index. Reductions in serum leucine were positively associated with the reductions in HOMA-IR over 12 months. These associations suggest a potential role of BCAA in regulating metabolic health. Reducing dietary intake and serum BCAA concentrations may reduce insulin resistance.
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Affiliation(s)
- Imen Becetti
- Division of Pediatric Endocrinology, Mass General for Children and Harvard Medical School, Boston, MA 02114, USA; (M.M.); (V.S.)
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Meghan Lauze
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Hang Lee
- Biostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Miriam A. Bredella
- Department of Radiology, Musculoskeletal Imaging and Interventions, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Madhusmita Misra
- Division of Pediatric Endocrinology, Mass General for Children and Harvard Medical School, Boston, MA 02114, USA; (M.M.); (V.S.)
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Vibha Singhal
- Division of Pediatric Endocrinology, Mass General for Children and Harvard Medical School, Boston, MA 02114, USA; (M.M.); (V.S.)
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Pediatric Program, MGH Weight Center, Massachusetts General Hospital, Boston, MA 02114, USA
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16
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Forteath C, Mordi I, Nisr R, Gutierrez-Lara EJ, Alqurashi N, Phair IR, Cameron AR, Beall C, Bahr I, Mohan M, Wong AKF, Dihoum A, Mohammad A, Palmer CNA, Lamont D, Sakamoto K, Viollet B, Foretz M, Lang CC, Rena G. Amino acid homeostasis is a target of metformin therapy. Mol Metab 2023; 74:101750. [PMID: 37302544 PMCID: PMC10328998 DOI: 10.1016/j.molmet.2023.101750] [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: 01/25/2023] [Revised: 04/04/2023] [Accepted: 06/05/2023] [Indexed: 06/13/2023] Open
Abstract
OBJECTIVE Unexplained changes in regulation of branched chain amino acids (BCAA) during diabetes therapy with metformin have been known for years. Here we have investigated mechanisms underlying this effect. METHODS We used cellular approaches, including single gene/protein measurements, as well as systems-level proteomics. Findings were then cross-validated with electronic health records and other data from human material. RESULTS In cell studies, we observed diminished uptake/incorporation of amino acids following metformin treatment of liver cells and cardiac myocytes. Supplementation of media with amino acids attenuated known effects of the drug, including on glucose production, providing a possible explanation for discrepancies between effective doses in vivo and in vitro observed in most studies. Data-Independent Acquisition proteomics identified that SNAT2, which mediates tertiary control of BCAA uptake, was the most strongly suppressed amino acid transporter in liver cells following metformin treatment. Other transporters were affected to a lesser extent. In humans, metformin attenuated increased risk of left ventricular hypertrophy due to the AA allele of KLF15, which is an inducer of BCAA catabolism. In plasma from a double-blind placebo-controlled trial in nondiabetic heart failure (trial registration: NCT00473876), metformin caused selective accumulation of plasma BCAA and glutamine, consistent with the effects in cells. CONCLUSIONS Metformin restricts tertiary control of BCAA cellular uptake. We conclude that modulation of amino acid homeostasis contributes to therapeutic actions of the drug.
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Affiliation(s)
- Calum Forteath
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Ify Mordi
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Raid Nisr
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Erika J Gutierrez-Lara
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Noor Alqurashi
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Iain R Phair
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Amy R Cameron
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK; Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Exeter, EX2 5DW, UK
| | - Craig Beall
- Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, RILD Building, Exeter, EX2 5DW, UK
| | - Ibrahim Bahr
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Mohapradeep Mohan
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Aaron K F Wong
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Adel Dihoum
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK; Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Anwar Mohammad
- Public Health and Epidemiology Department, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Colin N A Palmer
- Division of Population Health and Genomics, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK
| | - Douglas Lamont
- Centre for Advanced Scientific Technologies, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK
| | - Kei Sakamoto
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, 2200, Denmark
| | - Benoit Viollet
- Université Paris Cité, CNRS, Inserm, Institut Cochin, Paris, 75014, France
| | - Marc Foretz
- Université Paris Cité, CNRS, Inserm, Institut Cochin, Paris, 75014, France
| | - Chim C Lang
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK.
| | - Graham Rena
- Division of Cellular and Systems Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, Scotland, DD1 9SY, UK.
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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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18
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Koves TR, Zhang GF, Davidson MT, Chaves AB, Crown SB, Johnson JM, Slentz DH, Grimsrud PA, Muoio DM. Pyruvate-supported flux through medium-chain ketothiolase promotes mitochondrial lipid tolerance in cardiac and skeletal muscles. Cell Metab 2023:S1550-4131(23)00094-3. [PMID: 37060901 DOI: 10.1016/j.cmet.2023.03.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 02/07/2023] [Accepted: 03/24/2023] [Indexed: 04/17/2023]
Abstract
Even-chain acylcarnitine (AC) metabolites, most of which are generated as byproducts of incomplete fatty acid oxidation (FAO), are viewed as biomarkers of mitochondrial lipid stress attributable to one or more metabolic bottlenecks in the β-oxidation pathway. The origins and functional implications of FAO bottlenecks remain poorly understood. Here, we combined a sophisticated mitochondrial phenotyping platform with state-of-the-art molecular profiling tools and multiple two-state mouse models of respiratory function to uncover a mechanism that connects AC accumulation to lipid intolerance, metabolic inflexibility, and respiratory inefficiency in skeletal muscle mitochondria. These studies also identified a short-chain carbon circuit at the C4 node of FAO wherein reverse flux of glucose-derived acetyl CoA through medium-chain ketothiolase enhances lipid tolerance and redox stability in heart mitochondria by regenerating free CoA and NAD+. The findings help to explain why diminished FAO capacity, AC accumulation, and metabolic inflexibility are tightly linked to poor health outcomes.
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Affiliation(s)
- Timothy R Koves
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA; Department of Medicine, Division of Geriatrics, Duke University Medical Center, Durham, NC 27710, USA
| | - Guo-Fang Zhang
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA; Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
| | - Michael T Davidson
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA
| | - Alec B Chaves
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA
| | - Scott B Crown
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA
| | - Jordan M Johnson
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA
| | - Dorothy H Slentz
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA
| | - Paul A Grimsrud
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA; Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
| | - Deborah M Muoio
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27701, USA; Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA; Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, NC, USA.
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19
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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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20
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Handzlik MK, Gengatharan JM, Frizzi KE, McGregor GH, Martino C, Rahman G, Gonzalez A, Moreno AM, Green CR, Guernsey LS, Lin T, Tseng P, Ideguchi Y, Fallon RJ, Chaix A, Panda S, Mali P, Wallace M, Knight R, Gantner ML, Calcutt NA, Metallo CM. Insulin-regulated serine and lipid metabolism drive peripheral neuropathy. Nature 2023; 614:118-124. [PMID: 36697822 PMCID: PMC9891999 DOI: 10.1038/s41586-022-05637-6] [Citation(s) in RCA: 44] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 12/07/2022] [Indexed: 01/26/2023]
Abstract
Diabetes represents a spectrum of disease in which metabolic dysfunction damages multiple organ systems including liver, kidneys and peripheral nerves1,2. Although the onset and progression of these co-morbidities are linked with insulin resistance, hyperglycaemia and dyslipidaemia3-7, aberrant non-essential amino acid (NEAA) metabolism also contributes to the pathogenesis of diabetes8-10. Serine and glycine are closely related NEAAs whose levels are consistently reduced in patients with metabolic syndrome10-14, but the mechanistic drivers and downstream consequences of this metabotype remain unclear. Low systemic serine and glycine are also emerging as a hallmark of macular and peripheral nerve disorders, correlating with impaired visual acuity and peripheral neuropathy15,16. Here we demonstrate that aberrant serine homeostasis drives serine and glycine deficiencies in diabetic mice, which can be diagnosed with a serine tolerance test that quantifies serine uptake and disposal. Mimicking these metabolic alterations in young mice by dietary serine or glycine restriction together with high fat intake markedly accelerates the onset of small fibre neuropathy while reducing adiposity. Normalization of serine by dietary supplementation and mitigation of dyslipidaemia with myriocin both alleviate neuropathy in diabetic mice, linking serine-associated peripheral neuropathy to sphingolipid metabolism. These findings identify systemic serine deficiency and dyslipidaemia as novel risk factors for peripheral neuropathy that may be exploited therapeutically.
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Affiliation(s)
- Michal K Handzlik
- Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Jivani M Gengatharan
- Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Katie E Frizzi
- Department of Pathology, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Grace H McGregor
- Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Cameron Martino
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Gibraan Rahman
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
| | - Antonio Gonzalez
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ana M Moreno
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Courtney R Green
- Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Lucie S Guernsey
- Department of Pathology, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Terry Lin
- Regulatory Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Patrick Tseng
- Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | | | | | - Amandine Chaix
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, USA
| | - Satchidananda Panda
- Regulatory Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Prashant Mali
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
| | - Martina Wallace
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Rob Knight
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA
- Department of Pediatrics, School of Medicine, University of California San Diego, La Jolla, CA, USA
- Bioinformatics and Systems Biology Program, University of California San Diego, La Jolla, CA, USA
- Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | | | - Nigel A Calcutt
- Department of Pathology, School of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Christian M Metallo
- Molecular and Cell Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA, USA.
- Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
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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:nu15030529. [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] [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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Effects of Initial Combinations of Gemigliptin Plus Metformin Compared with Glimepiride Plus Metformin on Gut Microbiota and Glucose Regulation in Obese Patients with Type 2 Diabetes: The INTESTINE Study. Nutrients 2023; 15:nu15010248. [PMID: 36615904 PMCID: PMC9824054 DOI: 10.3390/nu15010248] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 12/02/2022] [Accepted: 12/06/2022] [Indexed: 01/06/2023] Open
Abstract
The efficacy and safety of medications can be affected by alterations in gut microbiota in human beings. Among antidiabetic medications, incretin-based therapy such as dipeptidyl peptidase 4 inhibitors might affect gut microbiomes, which are related to glucose metabolism. This was a randomized, controlled, active-competitor study that aimed to compare the effects of combinations of gemigliptin−metformin vs. glimepiride−metformin as initial therapies on gut microbiota and glucose homeostasis in drug-naïve patients with type 2 diabetes. Seventy drug-naïve patients with type 2 diabetes (mean age, 52.2 years) with a glycated hemoglobin (HbA1c) level ≥7.5% were assigned to either gemigliptin−metformin or glimepiride−metformin combination therapies for 24 weeks. Changes in gut microbiota, biomarkers linked to glucose regulation, body composition, and amino acid blood levels were investigated. Although both treatments decreased the HbA1c levels significantly, the gemigliptin−metformin group achieved HbA1c ≤ 7.0% without hypoglycemia or weight gain more effectively than did the glimepiride−metformin group (59% vs. 24%; p < 0.05). At the phylum level, the Firmicutes/Bacteroidetes ratio tended to decrease after gemigliptin−metformin therapy (p = 0.065), with a notable depletion of taxa belonging to Firmicutes, including Lactobacillus, Ruminococcus torques, and Streptococcus (all p < 0.05). However, regardless of the treatment modality, a distinct difference in the overall gut microbiome composition was noted between patients who reached the HbA1c target goal and those who did not (p < 0.001). Treatment with gemigliptin−metformin resulted in a higher achievement of the glycemic target without hypoglycemia or weight gain, better than with glimepiride−metformin; these improvements might be related to beneficial changes in gut microbiota.
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Specific Alteration of Branched-Chain Amino Acid Profile in Polycystic Ovary Syndrome. Biomedicines 2023; 11:biomedicines11010108. [PMID: 36672616 PMCID: PMC9856032 DOI: 10.3390/biomedicines11010108] [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: 11/10/2022] [Revised: 12/09/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies in reproductive age women; it is a complex health issue with numerous comorbidities. Attention has recently been drawn to amino acids as they are molecules essential to maintain homeostasis. The aim of the study was to investigate the branch chain amino acid (BCAA) profile in women with PCOS. A total of 326 women, 208 diagnosed with PCOS and 118 healthy controls, participated in the study; all the patients were between 18 and 40 years old. Anthropometrical, biochemical and hormonal parameters were assessed. Gas-liquid chromatography combined with tandem mass spectrometry was used to investigate BCAA levels. Statistical analysis showed significantly higher plasma levels of BCAAs (540.59 ± 97.23 nmol/mL vs. 501.09 ± 85.33 nmol/mL; p < 0.001) in women with PCOS. Significant correlations (p < 0.05) were found between BCAA and BMI, HOMA-IR, waist circumference and total testosterone levels. In the analysis of individuals with abdominal obesity, there were significant differences between PCOS and controls in BCAA (558.13 ± 100.51 vs. 514.22 ± 79.76 nmol/mL) and the concentrations of all the analyzed amino acids were higher in the PCOS patients. Hyperandrogenemia in PCOS patients was associated with significantly higher leucine, isoleucine and total BCAA levels. The increase of BCAA levels among PCOS patients in comparison to healthy controls might be an early sign of metabolic alteration and a predictive factor for other disturbances.
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Manfredi JM, Jacob SI, Boger BL, Norton EM. A one-health approach to identifying and mitigating the impact of endocrine disorders on human and equine athletes. Am J Vet Res 2022; 84:ajvr.22.11.0194. [PMID: 36563063 DOI: 10.2460/ajvr.22.11.0194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Endocrinopathies affect multiple species in ever-increasing percentages of their populations, creating an opportunity to apply one-health approaches to determining creative preventative measures and therapies in athletes. Obesity and alterations in insulin and glucose dynamics are medical concerns that play a role in whole-body health and homeostasis in both horses and humans. The role and impact of endocrine disorders on the musculoskeletal, cardiovascular, and reproductive systems are of particular interest to the athlete. Elucidation of both physiologic and pathophysiologic mechanisms involved in disease processes, starting in utero, is important for development of prevention and treatment strategies for the health and well-being of all species. This review focuses on the unrecognized effects of endocrine disorders associated with the origins of metabolic disease; inflammation at the intersection of endocrine disease and related diseases in the musculoskeletal, cardiovascular, and reproductive systems; novel interventions; and diagnostics that are informed via multiomic and one-health approaches. Readers interested in further details on specific equine performance conditions associated with endocrine disease are invited to read the companion Currents in One Health by Manfredi et al, JAVMA, February 2023.
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Affiliation(s)
- Jane M Manfredi
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI
| | - Sarah I Jacob
- Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI
| | - Brooke L Boger
- Comparative Medicine and Integrative Biology, Department of Pathobiology and Diagnostic Investigation, College of Veterinary Medicine, Michigan State University, East Lansing, MI
| | - Elaine M Norton
- Department of Animal and Comparative Biomedical Sciences, College of Agriculture and Life Sciences, The University of Arizona, Tucson, AZ
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Branched-Chain Amino Acids and Insulin Resistance, from Protein Supply to Diet-Induced Obesity. Nutrients 2022; 15:nu15010068. [PMID: 36615726 PMCID: PMC9824001 DOI: 10.3390/nu15010068] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/30/2022] [Accepted: 12/09/2022] [Indexed: 12/28/2022] Open
Abstract
For more than a decade, there has been a wide debate about the branched-chain amino acids (BCAA) leucine, valine, and isoleucine, with, on the one hand, the supporters of their anabolic effects and, on the other hand, those who suspect them of promoting insulin resistance. Indeed, the role of leucine in the postprandial activation of protein synthesis has been clearly established, even though supplementation studies aimed at taking advantage of this property are rather disappointing. Furthermore, there is ample evidence of an association between the elevation of their plasma concentrations and insulin resistance or the risk of developing type 2 diabetes, although there are many confounding factors, starting with the level of animal protein consumption. After a summary of their metabolism and anabolic properties, we analyze in this review the factors likely to increase the plasma concentrations of BCAAs, including insulin-resistance. After an analysis of supplementation or restriction studies in search of a direct role of BCAAs in insulin resistance, we discuss an indirect role through some of their metabolites: branched-chain keto acids, C3 and C5 acylcarnitines, and hydroxyisobutyrate. Overall, given the importance of insulin in the metabolism of these amino acids, it is very likely that small alterations in insulin sensitivity are responsible for a reduction in their catabolism long before the onset of impaired glucose tolerance.
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Felker GM, Buttrick P, Rosenzweig A, Abel ED, Allen LA, Bristow M, Das S, DeVore AD, Drakos SG, Fang JC, Freedman JE, Hernandez AF, Li DY, McKinsey TA, Newton-Cheh C, Rogers JG, Shah RV, Shah SH, Stehlik J, Selzman CH. Heart Failure Strategically Focused Research Network: Summary of Results and Future Directions. J Am Heart Assoc 2022; 11:e025517. [PMID: 36073647 DOI: 10.1161/jaha.122.025517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Heart failure remains among the most common and morbid health conditions. The Heart Failure Strategically Focused Research Network (HF SFRN) was funded by the American Heart Association to facilitate collaborative, high-impact research in the field of heart failure across the domains of basic, clinical, and population research. The Network was also charged with developing training opportunities for young investigators. Four centers were funded in 2016: Duke University, University of Colorado, University of Utah, and Massachusetts General Hospital-University of Massachusetts. This report summarizes the aims of each center and major research accomplishments, as well as training outcomes from the HF SFRN.
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Affiliation(s)
- G Michael Felker
- Division of Cardiology Duke University School of Medicine and Duke Clinical Research Institute Durham NC
| | - Peter Buttrick
- Division of Cardiology University of Colorado School of Medicine Aurora CO
| | | | - E Dale Abel
- Department of Medicine UCLA School of Medicine Los Angeles CA
| | - Larry A Allen
- Division of Cardiology University of Colorado School of Medicine Aurora CO
| | - Michael Bristow
- Division of Cardiology University of Colorado School of Medicine Aurora CO
| | - Saumya Das
- Division of Cardiology Massachusetts General Hospital Boston MA
| | - Adam D DeVore
- Division of Cardiology Duke University School of Medicine and Duke Clinical Research Institute Durham NC
| | - Stavros G Drakos
- Division of Cardiology University of Utah School of Medicine Salt Lake City UT
| | - James C Fang
- Division of Cardiology University of Utah School of Medicine Salt Lake City UT
| | - Jane E Freedman
- Division of Cardiology Vanderbilt University School of Medicine Nashville TN
| | - Adrian F Hernandez
- Division of Cardiology Duke University School of Medicine and Duke Clinical Research Institute Durham NC
| | - Dean Y Li
- Merck Research Laboratories Rahway NJ
| | - Timothy A McKinsey
- Division of Cardiology University of Colorado School of Medicine Aurora CO
| | | | | | - Ravi V Shah
- Division of Cardiology Vanderbilt University School of Medicine Nashville TN
| | - Svati H Shah
- Division of Cardiology Duke University School of Medicine and Duke Clinical Research Institute Durham NC
| | - Josef Stehlik
- Division of Cardiology University of Utah School of Medicine Salt Lake City UT
| | - Craig H Selzman
- Division of Cardiology University of Utah School of Medicine Salt Lake City UT
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Chu KO, Chan TI, Chan KP, Yip YW, Bakthavatsalam M, Wang CC, Pang CP, Brelen ME. Untargeted metabolomic analysis of aqueous humor in diabetic macular edema. Mol Vis 2022; 28:230-244. [PMID: 36284671 PMCID: PMC9514551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 08/17/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The mechanism of diabetic macular edema (DME) was explored by comparing the intraocular metabolite profiles of the aqueous humor of patients with DME to those of diabetic patients without DME using untargeted metabolomic analysis. METHODS Aqueous samples from 18 type 2 diabetic patients with DME and 18 type 2 diabetic patients without DME used as controls were analyzed using liquid chromatography-mass spectrometry (LCMS). The two groups of patients were age and gender matched and had no systemic diseases other than diabetes mellitus (DM). The metabolites were analyzed using orthogonal partial least square discriminant analysis. RESULTS The metabolite profiles in DME patients differed from those in DM controls. This indicates the following metabolic derangements in DME: (a) a higher amount of oxidized fatty acids but a lower amount of endogenous antioxidants (oxidative stress); (b) higher levels of β-glucose and homocysteine but a lower level of sorbitol (hyperglycemia); (c) a higher amount of prostaglandin metabolites (inflammation); (d) higher amounts of acylcarnitines, odd-numbered fatty acids, and 7,8-diaminononanoate (respiration deterioration); (e) a higher amount of neurotransmitter metabolites and homovanillic acid (neuronal damage); (f) a lower amount of extracellular matrix (ECM) constituents (ECM deterioration); and (g) a higher amount of di-amino peptides (microvascular damage). CONCLUSIONS The change in the metabolic profiles in the aqueous humor of DME patients compared to DM controls without DME indicates that DME patients may have less capability to resist various stresses or damaging pathological conditions, such as oxidative stress, mitochondrial insufficiency, inflammation, and ECM deterioration.
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Affiliation(s)
- Kai On Chu
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong,Department of Obstetrics and Gynaecology, the Chinese University of Hong Kong
| | - Tina InLam Chan
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong
| | - Kwok Ping Chan
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong
| | - Yolanda WongYing Yip
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong
| | - Malini Bakthavatsalam
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong
| | - Chi Chiu Wang
- Department of Obstetrics and Gynaecology, the Chinese University of Hong Kong,Li Ka Shing Institute of Health Science, the Chinese University of Hong Kong,School of Biomedical Sciences, the Chinese University of Hong Kong
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong
| | - Marten E. Brelen
- Department of Ophthalmology and Visual Sciences, the Chinese University of Hong Kong
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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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30
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Huang HH, Lin TL, Lee WJ, Chen SC, Lai WF, Lu CC, Lai HC, Chen CY. Impact of Metabolic Surgery on Gut Microbiota and Sera Metabolomic Patterns among Patients with Diabetes. Int J Mol Sci 2022; 23:ijms23147797. [PMID: 35887145 PMCID: PMC9320451 DOI: 10.3390/ijms23147797] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 07/10/2022] [Accepted: 07/12/2022] [Indexed: 02/08/2023] Open
Abstract
Metabolic surgery is a promising treatment for obese individuals with type 2 diabetes mellitus (T2DM), but the mechanism is not completely understood. Current understanding of the underlying ameliorative mechanisms relies on alterations in parameters related to the gastrointestinal hormones, biochemistry, energy absorption, the relative composition of the gut microbiota, and sera metabolites. A total of 13 patients with obesity and T2DM undergoing metabolic surgery treatments were recruited. Systematic changes of critical parameters and the effects and markers after metabolic surgery, in a longitudinal manner (before surgery and three, twelve, and twenty-four months after surgery) were measured. The metabolomics pattern, gut microbiota composition, together with the hormonal and biochemical characterizations, were analyzed. Body weight, body mass index, total cholesterol, triglyceride, fasting glucose level, C-peptide, HbA1c, HOMA-IR, gamma-glutamyltransferase, and des-acyl ghrelin were significantly reduced two years after metabolic surgery. These were closely associated with the changes of sera metabolomics and gut microbiota. Significant negative associations were found between the Eubacterium eligens group and lacosamide glucuronide, UDP-L-arabinose, lanceotoxin A, pipercyclobutanamide B, and hordatine B. Negative associations were identified between Ruminococcaceae UCG-003 and orotidine, and glucose. A positive correlation was found between Enterococcus and glutamic acid, and vindoline. Metabolic surgery showed positive effects on the amelioration of diabetes and metabolic syndromes, which were closely associated with the change of sera metabolomics, the gut microbiota, and other disease-related parameters.
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Affiliation(s)
- Hsien-Hao Huang
- Department of Emergency Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan;
- Institute of Emergency and Critical Medicine, National Yang Ming Chiao Tung University College of Medicine, Taipei 11221, Taiwan
| | - Tzu-Lung Lin
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan;
- Microbiota Research Center and Emerging Viral Infections Research Center, Chang Gung University, Taoyuan 33302, Taiwan
| | - Wei-Jei Lee
- Department of Surgery, Min-Sheng General Hospital, Taoyuan 33044, Taiwan;
- Taiwan Society for Metabolic and Bariatric Surgery, Taipei 11031, Taiwan;
| | - Shu-Chun Chen
- Taiwan Society for Metabolic and Bariatric Surgery, Taipei 11031, Taiwan;
- Department of Nursing, Chang-Gung Institute of Technology, Taoyuan 33303, Taiwan
| | - Wei-Fan Lai
- Department of Medicine, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan;
| | - Chia-Chen Lu
- Department of Chest Medicine, Internal Medicine, Fu Jen Catholic University Hospital, Fu Jen Catholic University, New Taipei City 24352, Taiwan;
- Department of Respiratory Therapy, Fu Jen Catholic University, New Taipei City 24205, Taiwan
| | - Hsin-Chih Lai
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan;
- Microbiota Research Center and Emerging Viral Infections Research Center, Chang Gung University, Taoyuan 33302, Taiwan
- Research Center for Chinese Herbal Medicine and Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan 33303, Taiwan
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
- Central Research Laboratory, Xiamen Chang Gung Allergology Consortium, Xiamen Chang Gung Hospital, Xiamen 361028, China
- Correspondence: (H.-C.L.); (C.-Y.C.); Tel.: +886-2-28712121 (ext. 2050) (C.-Y.C.)
| | - Chih-Yen Chen
- Division of Gastroenterology and Hepatology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- Faculty of Medicine, College of Medicine, National Yang Ming Chiao Tung University, Taipei 11221, Taiwan
- Bariatric and Metabolic Surgery Center, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- Chinese Taipei Society for the Study of Obesity, Taipei 11031, Taiwan
- Taiwan Association for the Study of Small Intestinal Diseases, Taoyuan 333423, Taiwan
- Correspondence: (H.-C.L.); (C.-Y.C.); Tel.: +886-2-28712121 (ext. 2050) (C.-Y.C.)
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Xie D, Huang J, Zhang Q, Zhao S, Xue H, Yu QQ, Sun Z, Li J, Yang X, Shao M, Pang D, Jiang P. Comprehensive evaluation of caloric restriction-induced changes in the metabolome profile of mice. Nutr Metab (Lond) 2022; 19:41. [PMID: 35761356 PMCID: PMC9235101 DOI: 10.1186/s12986-022-00674-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 06/12/2022] [Indexed: 12/19/2022] Open
Abstract
Objects Caloric restriction (CR) is known to extend lifespan and exert a protective effect on organs, and is thus a low-cost and easily implemented approach to the health maintenance. However, there have been no studies that have systematically evaluated the metabolic changes that occur in the main tissues affected by CR. This study aimed to explore the target tissues metabolomic profile in CR mice. Methods Male C57BL/6J mice were randomly allocated to the CR group (n = 7) and control group (n = 7). A non-targeted gas chromatography–mass spectrometry approach and multivariate analysis were used to identify metabolites in the main tissues (serum, heart, liver, kidney, cortex, hippocampus, lung, muscle, and white adipose) in model of CR. Results We identified 10 metabolites in the heart that showed differential abundance between the 2 groups, along with 9 in kidney, 6 in liver, 6 in lung, 6 in white adipose, 4 in hippocampus, 4 in serum, 3 in cortex, and 2 in muscle. The most significantly altered metabolites were amino acids (AAs) (glycine, aspartic acid, l-isoleucine, l-proline, l-aspartic acid, l-serine, l-hydroxyproline, l-alanine, l-valine, l-threonine, l-glutamic acid, and l-phenylalanine) and fatty acids (FAs) (palmitic acid, 1-monopalmitin, glycerol monostearate, docosahexaenoic acid, 16-octadecenoic acid, oleic acid, stearic acid, and hexanoic acid). These metabolites were associated with 7 different functional pathways related to the metabolism of AAs, lipids, and energy. Conclusion Our results provide insight into the specific metabolic changes that are induced by CR and can serve as a reference for physiologic studies on how CR improves health and extends lifespan.
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Affiliation(s)
- Dadi Xie
- Department of Endocrinology, Tengzhou Central People's Hospital, Xingtan Road, Tengzhou, 277500, China
| | - Jinxi Huang
- Department of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Qiang Zhang
- Clinical Laboratory, Tengzhou Central People's Hospital, Tengzhou, 277500, China
| | - Shiyuan Zhao
- Jining First People's Hospital, Jining Medical University, Jiankang Road, Jining, 272000, China
| | - Hongjia Xue
- Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China
| | - Qing-Qing Yu
- Laboratory of Biochemistry and Biomedical Materials, College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.,Department of Oncology, Jining First People's Hospital, Jining, 272000, China
| | - Zhuohao Sun
- Department of Endocrinology, Tengzhou Central People's Hospital, Xingtan Road, Tengzhou, 277500, China
| | - Jing Li
- Department of Endocrinology, Tengzhou Central People's Hospital, Xingtan Road, Tengzhou, 277500, China
| | - Xiumei Yang
- Department of Endocrinology, Tengzhou Central People's Hospital, Xingtan Road, Tengzhou, 277500, China
| | - Minglei Shao
- Department of Endocrinology, Tengzhou Central People's Hospital, Xingtan Road, Tengzhou, 277500, China
| | - Deshui Pang
- Department of Endocrinology, Tengzhou Central People's Hospital, Xingtan Road, Tengzhou, 277500, China.
| | - Pei Jiang
- Jining First People's Hospital, Jining Medical University, Jiankang Road, Jining, 272000, China.
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Lerman JB, Giamberardino SN, Hernandez AF, Felker GM, Shah SH, McGarrah RW. Plasma metabolites associated with functional and clinical outcomes in heart failure with reduced ejection fraction with and without type 2 diabetes. Sci Rep 2022; 12:9183. [PMID: 35654972 PMCID: PMC9163122 DOI: 10.1038/s41598-022-12973-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/19/2022] [Indexed: 12/18/2022] Open
Abstract
Heart failure with reduced ejection fraction (HFrEF) is increasingly treated with medications for type 2 diabetes mellitus (T2DM). Whether metabolic derangements in HFrEF and T2DM are associated with differential outcomes remains unclear. Therefore, understanding molecular pathways in HFrEF and T2DM and their effects on clinical endpoints is important. The FIGHT trial randomized 300 individuals with HFrEF and a recent HF hospitalization to liraglutide (a GLP-1 receptor agonist) versus placebo to assess effects on mortality, HF rehospitalization, and 6-month change in NT-ProBNP. Although the trial showed no clinical benefit of liraglutide, the trial population was highly enriched for individuals with T2DM. Sixty metabolites were quantified via mass spectrometry in plasma from 254 FIGHT participants (N = 147 (57.9%) with T2DM). Principal components analysis reduced the high number of correlated metabolites into uncorrelated factors. The association of factor levels with 90-day changes in 6-min walk distance (6MWD) and NT-proBNP, and with time to mortality or HF hospitalization were evaluated. There were no changes in metabolite factors according to treatment assignment. However, in analyses stratified by T2DM status, changes in five plasma metabolite factors correlated with changes in functional outcomes beyond adjustment: factor 2 (branched-chain amino acids [BCAA]) correlated with changes in NT-proBNP (ρ = − 0.291, p = 4 × 10–4) and 6MWD (ρ= 0.265, p = 0.011); factor 1 (medium-chain acylcarnitines; ρ = 0.220, p = 0.008), factor 4 (long-chain dicarboxylacylcarnitines; ρ = 0.191, p = 0.019), factor 5 (long-chain acylcarnitines; ρ = 0.198, p = 0.017), and factor 8 (urea cycle metabolites; ρ = − 0.239, p = 4 × 10–3), correlated with change in NT-proBNP. Factor 4 was associated with time-to-event (HR = 1.513 [95% CI 1.208–1.896], p = 3 × 10–4) with a trend towards stronger prognostic effect in T2DM (T2DM: p = 1 × 10–3, non-T2DM: p = 0.1). We identified metabolites of BCAA, urea cycle and fatty acid metabolism as biomarkers of HFrEF outcomes, with observed differences in HFrEF patients with T2DM. Such biomarkers might enable future diagnostic or therapeutic interventions in individuals with HFrEF and T2DM. Trial Registration: Clinicaltrials.gov. Identifier: NCT01800968. First posted: February 28, 2013.
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Affiliation(s)
- Joseph B Lerman
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Stephanie N Giamberardino
- Duke Molecular Physiology Institute, Duke University School of Medicine, 300 N. Duke St, Durham, NC, 27701, USA
| | - Adrian F Hernandez
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.,Duke Clinical Research Institute, Durham, NC, USA
| | - G Michael Felker
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.,Duke Clinical Research Institute, Durham, NC, USA
| | - Svati H Shah
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA.,Duke Molecular Physiology Institute, Duke University School of Medicine, 300 N. Duke St, Durham, NC, 27701, USA.,Duke Clinical Research Institute, Durham, NC, USA
| | - Robert W McGarrah
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, USA. .,Duke Molecular Physiology Institute, Duke University School of Medicine, 300 N. Duke St, Durham, NC, 27701, USA.
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Trautman ME, Richardson NE, Lamming DW. Protein restriction and branched-chain amino acid restriction promote geroprotective shifts in metabolism. Aging Cell 2022; 21:e13626. [PMID: 35526271 PMCID: PMC9197406 DOI: 10.1111/acel.13626] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/13/2022] [Accepted: 04/21/2022] [Indexed: 01/20/2023] Open
Abstract
The proportion of humans suffering from age‐related diseases is increasing around the world, and creative solutions are needed to promote healthy longevity. Recent work has clearly shown that a calorie is not just a calorie—and that low protein diets are associated with reduced mortality in humans and promote metabolic health and extended lifespan in rodents. Many of the benefits of protein restriction on metabolism and aging are the result of decreased consumption of the three branched‐chain amino acids (BCAAs), leucine, isoleucine, and valine. Here, we discuss the emerging evidence that BCAAs are critical modulators of healthy metabolism and longevity in rodents and humans, as well as the physiological and molecular mechanisms that may drive the benefits of BCAA restriction. Our results illustrate that protein quality—the specific composition of dietary protein—may be a previously unappreciated driver of metabolic dysfunction and that reducing dietary BCAAs may be a promising new approach to delay and prevent diseases of aging.
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Affiliation(s)
- Michaela E. Trautman
- Department of Medicine University of Wisconsin‐Madison Madison Wisconsin USA
- William S. Middleton Memorial Veterans Hospital Madison Wisconsin USA
- Interdepartmental Graduate Program in Nutritional Sciences University of Wisconsin‐Madison Madison Wisconsin USA
| | - Nicole E. Richardson
- Department of Medicine University of Wisconsin‐Madison Madison Wisconsin USA
- William S. Middleton Memorial Veterans Hospital Madison Wisconsin USA
- Endocrinology and Reproductive Physiology Graduate Training Program University of Wisconsin‐Madison Madison Wisconsin USA
| | - Dudley W. Lamming
- Department of Medicine University of Wisconsin‐Madison Madison Wisconsin USA
- William S. Middleton Memorial Veterans Hospital Madison Wisconsin USA
- Endocrinology and Reproductive Physiology Graduate Training Program University of Wisconsin‐Madison Madison Wisconsin USA
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Renguet E, De Loof M, Fourny N, Ginion A, Bouzin C, Poüs C, Horman S, Beauloye C, Bultot L, Bertrand L. α-Tubulin acetylation on Lysine 40 controls cardiac glucose uptake. Am J Physiol Heart Circ Physiol 2022; 322:H1032-H1043. [PMID: 35486479 DOI: 10.1152/ajpheart.00664.2021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Our group previously demonstrated that an excess of nutrients, as observed in diabetes, provokes an increase in cardiac protein acetylation responsible for a reduced insulin-stimulated translocation of the glucose transporter GLUT4 to the plasma membrane. The acetylated proteins involved in this event have yet not been identified. α-Tubulin is a promising candidate as a major cytoskeleton component involved, among other things, in the translocation of GLUT4-containing vesicles from their intracellular pools towards the plasma membrane. Moreover, α-tubulin is known to be acetylated, Lys40 (K40) being its best characterized acetylated residue. The present work sought to evaluate the impact of α-tubulin K40 acetylation on cardiac glucose entry, with a particular interest in GLUT4 translocation. First, we observed that a mouse model of high-fat diet-induced obesity presented an increase in cardiac α-tubulin K40 acetylation level. Next, we showed that treatment of insulin-sensitive primary cultured adult rat cardiomyocytes with tubacin, a specific tubulin acetylation inducer, reduced insulin-stimulated glucose uptake and GLUT4 translocation. Conversely, decreasing α-tubulin K40 acetylation by expressing a non-acetylable dominant form of α-tubulin (mCherry α-tubulin K40A mutant) remarkably intensified insulin-induced glucose transport. Finally, mCherry α-tubulin K40A expression similarly improved glucose transport in insulin-resistant cardiomyocytes or after AMP-activated protein kinase activation. Taken together, our study demonstrates that modulation of α-tubulin K40 acetylation level affects glucose transport in cardiomyocytes, offering new putative therapeutic insights regarding modulation of glucose metabolism in insulin-resistant and diabetic hearts.
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Affiliation(s)
- Edith Renguet
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium
| | - Marine De Loof
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium
| | - Natacha Fourny
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium
| | - Audrey Ginion
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium
| | - Caroline Bouzin
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, IREC Imaging Platform (2IP), Brussels, Belgium
| | - Christian Poüs
- Université Paris-Saclay, INSERM UMR-S-1193, Châtenay-Malabry, France; AP-HP, Biochimie-Hormonologie, Hôpital Antoine Béclère, Clamart, France
| | - Sandrine Horman
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium
| | - Christophe Beauloye
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium.,Cliniques Universitaires Saint-Luc, Division of Cardiology, Brussels, Belgium
| | - Laurent Bultot
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium
| | - Luc Bertrand
- Université catholique de Louvain, Institut de Recherche Expérimentale et Clinique, Pole of Cardiovascular Research, Brussels, Belgium
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35
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Debédat J, Le Roy T, Voland L, Belda E, Alili R, Adriouch S, Bel Lassen P, Kasahara K, Hutchison E, Genser L, Torres L, Gamblin C, Rouault C, Zucker JD, Kapel N, Poitou C, Marcelin G, Rey FE, Aron-Wisnewsky J, Clément K. The human gut microbiota contributes to type-2 diabetes non-resolution 5-years after Roux-en-Y gastric bypass. Gut Microbes 2022; 14:2050635. [PMID: 35435140 PMCID: PMC9037437 DOI: 10.1080/19490976.2022.2050635] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Roux-en-Y gastric bypass (RYGB) is efficient at inducing drastic albeit variable weight loss and type-2 diabetes (T2D) improvements in patients with severe obesity and T2D. We hypothesized a causal implication of the gut microbiota (GM) in these metabolic benefits, as RYGB is known to deeply impact its composition. In a cohort of 100 patients with baseline T2D who underwent RYGB and were followed for 5-years, we used a hierarchical clustering approach to stratify subjects based on the severity of their T2D (Severe vs Mild) throughout the follow-up. We identified via nanopore-based GM sequencing that the more severe cases of unresolved T2D were associated with a major increase of the class Bacteroidia, including 12 species comprising Phocaeicola dorei, Bacteroides fragilis, and Bacteroides caecimuris. A key observation is that patients who underwent major metabolic improvements do not harbor this enrichment in Bacteroidia, as those who presented mild cases of T2D at all times. In a separate group of 36 patients with similar baseline clinical characteristics and preoperative GM sequencing, we showed that this increase in Bacteroidia was already present at baseline in the most severe cases of T2D. To explore the causal relationship linking this enrichment in Bacteroidia and metabolic alterations, we selected 13 patients across T2D severity clusters at 5-years and performed fecal matter transplants in mice. Our results show that 14 weeks after the transplantations, mice colonized with the GM of Severe donors have impaired glucose tolerance and insulin sensitivity as compared to Mild-recipients, all in the absence of any difference in body weight and composition. GM sequencing of the recipient animals revealed that the hallmark T2D-severity associated bacterial features were transferred and were associated with the animals' metabolic alterations. Therefore, our results further establish the GM as a key contributor to long-term glucose metabolism improvements (or lack thereof) after RYGB.
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Affiliation(s)
- Jean Debédat
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Tiphaine Le Roy
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Lise Voland
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | | | - Rohia Alili
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Solia Adriouch
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Pierre Bel Lassen
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance,Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Nutrition Department, France
| | - Kazuyuki Kasahara
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Evan Hutchison
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Laurent Genser
- Visceral Surgery Department, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, France
| | - Licia Torres
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Camille Gamblin
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Christine Rouault
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Jean-Daniel Zucker
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance,Unité de Modélisation Mathématique et Informatique des Systèmes Complexes, UMMISCO, Sorbonne Universités, Institut de Recherche pour le Développement (IRD), France
| | - Nathalie Kapel
- Functional Coprology Department, Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, France
| | - Christine Poitou
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance,Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Nutrition Department, France
| | - Geneviève Marcelin
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance
| | - Federico E. Rey
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Judith Aron-Wisnewsky
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance,Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Nutrition Department, France,CONTACT Judith Aron-Wisnewsky Sorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Nutrition and obesities; systemic approaches (NutriOmics)75013, Paris, France
| | - Karine Clément
- Nutrition and obesities; systemic approaches (NutriOmics), Sorbonne Université, INSERM, ParisFrance,Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Nutrition Department, France,Karine Clément Nutrition and obesities; systemic approaches (NutriOmics) Assistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, ParisFranceNutrition Department
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Zhu L, Huang Q, Li X, Jin B, Ding Y, Chou CJ, Su KJ, Zhang Y, Chen X, Hwa KY, Thyparambil S, Liao W, Han Z, Mortensen R, Jin Y, Li Z, Schilling J, Li Z, Sylvester KG, Sun X, Ling XB. Serological Phenotyping Analysis Uncovers a Unique Metabolomic Pattern Associated With Early Onset of Type 2 Diabetes Mellitus. Front Mol Biosci 2022; 9:841209. [PMID: 35463946 PMCID: PMC9024215 DOI: 10.3389/fmolb.2022.841209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 03/14/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Type 2 diabetes mellitus (T2DM) is a multifaceted disorder affecting epidemic proportion at global scope. Defective insulin secretion by pancreatic β-cells and the inability of insulin-sensitive tissues to respond effectively to insulin are the underlying biology of T2DM. However, circulating biomarkers indicative of early diabetic onset at the asymptomatic stage have not been well described. We hypothesized that global and targeted mass spectrometry (MS) based metabolomic discovery can identify novel serological metabolic biomarkers specifically associated with T2DM. We further hypothesized that these markers can have a unique pattern associated with latent or early asymptomatic stage, promising an effective liquid biopsy approach for population T2DM risk stratification and screening. Methods: Four independent cohorts were assembled for the study. The T2DM cohort included sera from 25 patients with T2DM and 25 healthy individuals for the biomarker discovery and sera from 15 patients with T2DM and 15 healthy controls for the testing. The Pre-T2DM cohort included sera from 76 with prediabetes and 62 healthy controls for the model training and sera from 35 patients with prediabetes and 27 healthy controls for the model testing. Both global and targeted (amino acid, acylcarnitine, and fatty acid) approaches were used to deep phenotype the serological metabolome by high performance liquid chromatography-high resolution mass spectrometry. Different machine learning approaches (Random Forest, XGBoost, and ElasticNet) were applied to model the unique T2DM/Pre-T2DM metabolic patterns and contrasted with their effectiness to differentiate T2DM/Pre-T2DM from controls. Results: The univariate analysis identified unique panel of metabolites (n = 22) significantly associated with T2DM. Global metabolomics and subsequent structure determination led to the identification of 8 T2DM biomarkers while targeted LCMS profiling discovered 14 T2DM biomarkers. Our panel can effectively differentiate T2DM (ROC AUC = 1.00) or Pre-T2DM (ROC AUC = 0.84) from the controls in the respective testing cohort. Conclusion: Our serological metabolite panel can be utilized to identifiy asymptomatic population at risk of T2DM, which may provide utility in identifying population at risk at an early stage of diabetic development to allow for clinical intervention. This early detection would guide ehanced levels of care and accelerate development of clinical strategies to prevent T2DM.
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Affiliation(s)
- Linmin Zhu
- School of Laboratory Medicine, Tianjin Medical University, Tianjin, China
- Tianjin Teda Hospital, Tianjin, China
| | | | - Xiao Li
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
- Binhai Industrial Technology Research Institute, Zhejiang University, Tianjin, China
| | - Bo Jin
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
| | - Yun Ding
- mProbe Inc, Mountain View, CA, United States
| | | | - Kuo-Jung Su
- mProbe Inc, Mountain View, CA, United States
| | - Yani Zhang
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
| | | | | | | | - Weili Liao
- mProbe Inc, Mountain View, CA, United States
| | - Zhi Han
- mProbe Inc, Mountain View, CA, United States
| | | | - Yi Jin
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
| | - Zhen Li
- Shanghai Yunxiang Medical Technology Co., Ltd., Shanghai, China
| | - James Schilling
- mProbe Inc, Mountain View, CA, United States
- Binhai Industrial Technology Research Institute, Zhejiang University, Tianjin, China
| | - Zhen Li
- Tianjin Yunjian Medical Laboratory Institute Co., Ltd, Tianjin, China
- Binhai Industrial Technology Research Institute, Zhejiang University, Tianjin, China
| | - Karl G. Sylvester
- Department of Surgery, Stanford University, School of Medicine, Stanford, CA, United States
| | - Xuguo Sun
- School of Laboratory Medicine, Tianjin Medical University, Tianjin, China
- *Correspondence: Xuguo Sun, ; Xuefeng B. Ling,
| | - Xuefeng B. Ling
- Department of Surgery, Stanford University, School of Medicine, Stanford, CA, United States
- *Correspondence: Xuguo Sun, ; Xuefeng B. Ling,
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37
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Lee-Ødegård S, Olsen T, Norheim F, Drevon CA, Birkeland KI. Potential Mechanisms for How Long-Term Physical Activity May Reduce Insulin Resistance. Metabolites 2022; 12:metabo12030208. [PMID: 35323652 PMCID: PMC8950317 DOI: 10.3390/metabo12030208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 02/20/2022] [Accepted: 02/22/2022] [Indexed: 02/06/2023] Open
Abstract
Insulin became available for the treatment of patients with diabetes 100 years ago, and soon thereafter it became evident that the biological response to its actions differed markedly between individuals. This prompted extensive research into insulin action and resistance (IR), resulting in the universally agreed fact that IR is a core finding in patients with type 2 diabetes mellitus (T2DM). T2DM is the most prevalent form of diabetes, reaching epidemic proportions worldwide. Physical activity (PA) has the potential of improving IR and is, therefore, a cornerstone in the prevention and treatment of T2DM. Whereas most research has focused on the acute effects of PA, less is known about the effects of long-term PA on IR. Here, we describe a model of potential mechanisms behind reduced IR after long-term PA to guide further mechanistic investigations and to tailor PA interventions in the therapy of T2DM. The development of such interventions requires knowledge of normal glucose metabolism, and we briefly summarize an integrated physiological perspective on IR. We then describe the effects of long-term PA on signaling molecules involved in cellular responses to insulin, tissue-specific functions, and whole-body IR.
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Affiliation(s)
- Sindre Lee-Ødegård
- Department of Clinical Medicine, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway;
| | - Thomas Olsen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway; (T.O.); (F.N.); (C.A.D.)
| | - Frode Norheim
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway; (T.O.); (F.N.); (C.A.D.)
| | - Christian Andre Drevon
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway; (T.O.); (F.N.); (C.A.D.)
- Vitas Ltd. Analytical Services, Oslo Science Park, 0349 Oslo, Norway
| | - Kåre Inge Birkeland
- Department of Clinical Medicine, Faculty of Medicine, University of Oslo, 0372 Oslo, Norway;
- Correspondence:
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38
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Miles FL, Orlich MJ, Mashchak A, Chandler PD, Lampe JW, Duerksen-Hughes P, Fraser GE. The Biology of Veganism: Plasma Metabolomics Analysis Reveals Distinct Profiles of Vegans and Non-Vegetarians in the Adventist Health Study-2 Cohort. Nutrients 2022; 14:nu14030709. [PMID: 35277064 PMCID: PMC8839915 DOI: 10.3390/nu14030709] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 01/31/2022] [Accepted: 01/31/2022] [Indexed: 12/14/2022] Open
Abstract
It is unclear how vegetarian dietary patterns influence plasma metabolites involved in biological processes regulating chronic diseases. We sought to identify plasma metabolic profiles distinguishing vegans (avoiding meat, eggs, dairy) from non-vegetarians (consuming ≥28 g/day red meat) of the Adventist Health Study-2 cohort using global metabolomics profiling with ultra-performance liquid chromatography mass spectrometry (UPLC-MS/MS). Differences in abundance of metabolites or biochemical subclasses were analyzed using linear regression models, adjusting for surrogate and confounding variables, with cross-validation to simulate results from an independent sample. Random forest was used as a learning tool for classification, and principal component analysis was used to identify clusters of related metabolites. Differences in covariate-adjusted metabolite abundance were identified in over 60% of metabolites (586/930), after adjustment for false discovery. The vast majority of differentially abundant metabolites or metabolite subclasses showed lower abundance in vegans, including xanthine, histidine, branched fatty acids, acetylated peptides, ceramides, and long-chain acylcarnitines, among others. Many of these metabolite subclasses have roles in insulin dysregulation, cardiometabolic phenotypes, and inflammation. Analysis of metabolic profiles in vegans and non-vegetarians revealed vast differences in these two dietary groups, reflecting differences in consumption of animal and plant products. These metabolites serve as biomarkers of food intake, many with potential pathophysiological consequences for cardiometabolic diseases.
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Affiliation(s)
- Fayth L. Miles
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Basic Science, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA;
| | - Michael J. Orlich
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Preventive Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
| | - Andrew Mashchak
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
| | - Paulette D. Chandler
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, MA 02215, USA;
| | - Johanna W. Lampe
- Public Health Sciences Division, Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA;
| | - Penelope Duerksen-Hughes
- Department of Basic Science, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA;
| | - Gary E. Fraser
- Adventist Health Study, Research Affairs, Loma Linda University, Loma Linda, CA 92350, USA; (F.L.M.); (M.J.O.); (A.M.)
- Center for Nutrition, Healthy Lifestyle and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA 92350, USA
- Department of Medicine, School of Medicine, Loma Linda University, Loma Linda, CA 92350, USA
- Correspondence: ; Tel.: +1-909-558-4753
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39
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Rivera ME, Rivera CN, Vaughan RA. Branched-chain amino acids at supraphysiological but not physiological levels reduce myotube insulin sensitivity. Diabetes Metab Res Rev 2022; 38:e3490. [PMID: 34397159 DOI: 10.1002/dmrr.3490] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/26/2021] [Accepted: 07/30/2021] [Indexed: 12/16/2022]
Abstract
AIMS Branched-chain amino acids (BCAA) are often emphasized in the diets of avid exercisers, yet population data demonstrates a correlation between circulating BCAA and insulin resistance. However, it is unclear if BCAA independently promote insulin resistance in otherwise healthy cells. The purpose of this study is to examine the effect of a BCAA mixture on muscle insulin signaling in vitro in both insulin resistant and sensitive cells. MATERIALS AND METHODS C2C12 myotubes were treated with a BCAA mixture containing leucine:isoleucine:valine at a ratio of 2:1:1 at 0.2, 2, or 20 mM (based on leucine content) for either 30 min, 1 day, or 6 days. Western blot was used to assess insulin sensitivity of cells treated with BCAA both with and without concurrent insulin resistance, and, with and without insulin stimulation. RESULTS BCAA treatment for 1 day significantly reduced basal, but not insulin-stimulated pAkt expression. BCAA treatment for 6 days resulted in significantly reduced basal insulin signaling in healthy cells and insulin-stimulated insulin signaling in insulin resistant (but not insulin sensitive) cells. CONCLUSION Similar to previous observations demonstrating BCAA may correlate with insulin resistance during metabolically stressed conditions, we demonstrate excessively high BCAA exposure can negatively influence basal insulin signaling, as well as insulin sensitivity in insulin resistant myotubes. However, given the intentionally high concentrations of BCAA used in this study, the extent to which these observations translate to in vivo models is unclear and warrants further investigation.
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Affiliation(s)
- Madison E Rivera
- Department of Exercise Science, High Point University, High Point, North Carolina, USA
| | - Caroline N Rivera
- Department of Exercise Science, High Point University, High Point, North Carolina, USA
| | - Roger A Vaughan
- Department of Exercise Science, High Point University, High Point, North Carolina, USA
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40
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Solon-Biet SM, Griffiths L, Fosh S, Le Couteur DG, Simpson SJ, Senior AM. Meta-analysis links dietary branched-chain amino acids to metabolic health in rodents. BMC Biol 2022; 20:19. [PMID: 35031039 PMCID: PMC8760763 DOI: 10.1186/s12915-021-01201-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 11/29/2021] [Indexed: 12/13/2022] Open
Abstract
Background The role of dietary branched chain amino acids (BCAAs) and their effect on metabolic health is complex. How dietary BCAA levels and their interaction with background nutrition affect health is unclear. Here, we used meta-analysis and meta-regression, together with the nutritional modelling, to analyse the results of rodent studies that increased the level of dietary BCAAs and measured circulating levels, outcomes related to metabolic health, body mass and food intake. Results Across all studies, increasing dietary BCAAs resulted in increased levels of circulating BCAAs. These effects, however, were heavily moderated by background dietary levels whereby on high BCAA diets, further increases were not reflected in the blood. Impaired glucose tolerance was associated with elevated dietary BCAAs, with the greatest effect occurring with a simultaneous increase in total protein intake. Effects of dietary BCAAs on plasma glucose, insulin, or HOMA emerged only when dietary macronutrient background was considered. We found that elevated dietary BCAAs increases % body fat, with largest increases in adiposity occurring when BCAAs are increased on a high protein, low carbohydrate dietary background. Finally, we found that increased dietary BCAAs were associated with increased food intake when the background diet was low in BCAAs. Conclusion Our data highlights the interaction between BCAAs and background nutrition. We show that the effects of BCAAs on metabolic health cannot be studied in isolation but must be considered as part of complex mixture of dietary components. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-021-01201-2.
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Affiliation(s)
- Samantha M Solon-Biet
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia. .,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
| | - Lucy Griffiths
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Sophie Fosh
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.,Sydney Medical School, Faculty of Health and Medicine, The University of Sydney, Sydney, NSW, Australia.,Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Sydney, NSW, Australia.,ANZAC Research Institute, The University of Sydney, Sydney, NSW, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia. .,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia. .,School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
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He Y, Zhang H, Yang Y, Yu X, Zhang X, Xing Q, Zhang G. Using Metabolomics in Diabetes Management with Traditional Chinese Medicine: A Review. THE AMERICAN JOURNAL OF CHINESE MEDICINE 2022; 49:1813-1837. [PMID: 34961417 DOI: 10.1142/s0192415x21500865] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
The incidence of diabetes worldwide continues to rise, placing a huge economic and medical burden on human society. More than 90% of diabetic cases are type 2 diabetes (T2D). At present, the pathogenesis of T2D is not yet fully understood. Metabolomics uses high-resolution analytical techniques (typically NMR and MS) to help identify biomarkers associated with the risk of T2D and reveal potential pathogenesis. Many metabolites such as branched-chain amino acids (BCAAs), aromatic amino acids, glycine, 2-hydroxybutyric acid (2-HB), lysophosphatidylcholine (LPC) (18:2), and trehalose have proven to be biomarkers of T2D. Insulin resistance (IR) induced by BCAA in T2D mice is related to the activation of mammalian target of rapamycin (mTOR) and phosphorylation of insulin receptor substrate-1 (IRS1). Incomplete LCFA [Formula: see text]-oxidation promote acylcarnitine byproduct accumulation and stimulates proinflammatory NF[Formula: see text]B-related pathways to inhibit insulin action. Traditional Chinese Medicine (TCM) presents unique advantages in the treatment of T2D. Multiple metabolites and metabolic pathways have been identified in the treatment of TCM, providing valuable biomarkers and novel targets for drug therapy and pharmacological mechanism. Therefore, this paper reviews the modern achievements of metabolomics in T2D research and the progress of TCM management in recent years, in order to provide valuable information for related research.
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Affiliation(s)
- Yanling He
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Hefang Zhang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China.,Department of Endocrinology, First Affiliated Hospital of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050011, P. R. China
| | - Yufei Yang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Xianghui Yu
- Department of Endocrinology, First Affiliated Hospital of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050011, P. R. China
| | - Xiao Zhang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Qiaolin Xing
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China
| | - Gengliang Zhang
- Graduate School of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050091, P. R. China.,Department of Endocrinology, First Affiliated Hospital of Hebei University of Traditional, Chinese Medicine, Shijiazhuang 050011, P. R. China
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42
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Kim HS, Jung SJ, Jang S, Kim MJ, Cha YS. Rice-based breakfast improves fasting glucose and HOMA-IR in Korean adolescents who skip breakfast, but breakfast skipping increases aromatic amino acids associated with diabetes prediction in Korean adolescents who skip breakfast: a randomized, parallel-group, controlled trial. Nutr Res Pract 2022; 16:450-463. [PMID: 35919293 PMCID: PMC9314192 DOI: 10.4162/nrp.2022.16.4.450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/19/2021] [Accepted: 10/07/2021] [Indexed: 11/04/2022] Open
Affiliation(s)
- Hyun Suk Kim
- Department of Food Science and Human Nutrition, Jeonbuk National University, Jeonju 54896, Korea
| | - Su-Jin Jung
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju 54907, Korea
| | - Soyoung Jang
- Department of Food Science and Human Nutrition, Jeonbuk National University, Jeonju 54896, Korea
- Clinical Trial Center for Functional Foods, Jeonbuk National University Hospital, Jeonju 54907, Korea
| | - Min Jung Kim
- Research Group of Healthcare, Korea Food Research, Wanju 55365, Korea
| | - Youn-Soo Cha
- Department of Food Science and Human Nutrition, Jeonbuk National University, Jeonju 54896, Korea
- Department of Obesity Research Center, Jeonbuk National University, Jeonju 54896, Korea
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Huffman KM, Parker DC, Bhapkar M, Racette SB, Martin CK, Redman LM, Das SK, Connelly MA, Pieper CF, Orenduff M, Ross LM, Ramaker ME, Dorling JL, Rosen CJ, Shalaurova I, Otvos JD, Kraus VB, Kraus WE. Calorie restriction improves lipid-related emerging cardiometabolic risk factors in healthy adults without obesity: Distinct influences of BMI and sex from CALERIE™ a multicentre, phase 2, randomised controlled trial. EClinicalMedicine 2022; 43:101261. [PMID: 35028547 PMCID: PMC8741476 DOI: 10.1016/j.eclinm.2021.101261] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 12/06/2021] [Accepted: 12/17/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND For many cardiovascular risk factors there is no lower limit to which further reduction will result in decreased disease risk; this includes values within ranges considered normal for healthy adults. This seems to be true for new emerging metabolic risk factors identified by innovative technological advances. Further, there seems to be ever evolving evidence of differential responses to lifestyle interventions by sex and body compositions in the normal range. In this secondary analysis, we had the opportunity to test these principles for newly identified molecular biomarkers of cardiometabolic risk in a young (21-50 years), normal weight healthy population undergoing calorie restriction for two years. METHODS The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE™) was a 24-month, multicenter, randomized controlled trial (May 2007-November 2012) in healthy, adults without obesity to evaluate the potential for calorie restriction (CR) to promote anti-aging adaptations, including those associated with disease risk. 218 participants (age 37.9 ± 7.2 years and body mass index (BMI) 25.1 ± 1.7 kg/m2, mean±SD) were randomized 2:1 to 24 months of CR (prescribed as 25% reduction from baseline calorie intake) versus ad libitum (AL). Fasting plasma from baseline, 12, and 24 months was used for assessments of lipoproteins, metabolites, and inflammatory markers using nuclear magnetic resonance spectroscopy. FINDINGS Averaging 11.9% CR, the CR group had reductions at 12 and 24 months in the cardiovascular disease risk markers, apolipoprotein B and GlycA, and risks for insulin resistance and type 2 diabetes-Lipoprotein Insulin Resistance Index and Diabetes Risk Index (all PCRvsAL ≤0.0009). Insulin resistance and diabetes risk improvements resulted from CR-induced alterations in lipoproteins, specifically reductions in triglyceride-rich lipoprotein particles and low-density lipoprotein particles, a shift to larger high-density lipoprotein particles (more effective cholesterol transporters), and reductions in branched chain amino acids (BCAAs) (all PCRvsAL ≤0.004). These CR responses were more pronounced in overweight than normal weight participants and greater in men than women. INTERPRETATION In normal to slightly overweight adults without overt risk factors or disease, 12 months of ∼12% CR improved newly identified risk markers for atherosclerotic cardiovascular disease, insulin resistance and type 2 diabetes. These markers suggest that CR improves risks by reducing inflammation and BCAAs and shifting lipoproteins from atherogenic to cholesterol transporting. Additionally, these improvements are greater for men and for those with greater BMIs indicating sex and BMI-influences merit attention in future investigations of lifestyle-mediated improvements in disease risk factors. FUNDING The CALERIE™ trial design and implementation were supported by a National Institutes of Health (NIH) U-grant provided to four institutions, the three intervention sites and a coordinating center (U01 AG022132, U01 AG020478, U01 AG020487 U01 AG020480). For this secondary analysis including sample acquisition and processing, data analysis and interpretation, additional funding was provided by the NIH to authors as follows: R01 AG054840 (MO, VBK); R33 AG070455 (KMH, DCP, MB, SBR, CKM, LMR, SKD, CFP, CJR, WEK); P30 DK072476 (CKM, LMR); and U54 GM104940 (CKM, LMR).
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Affiliation(s)
- Kim M. Huffman
- Divisions of Rheumatology and Immunology, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Corresponding author.
| | - Daniel C. Parker
- Geriatrics, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Manjushri Bhapkar
- Duke Clinical Research Institute, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Susan B. Racette
- Program in Physical Therapy and Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | | | | | - Sai Krupa Das
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | | | - Carl F. Pieper
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA
| | - Melissa Orenduff
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Leanna M. Ross
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Megan E. Ramaker
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - James L. Dorling
- Human Nutrition, School of Medicine, Dentistry and Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Clifford J Rosen
- Maine Medical Center Research Institute 81 Research Drive Scarborough, Maine 04074 USA
| | - Irina Shalaurova
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, NC, USA
| | - James D. Otvos
- Laboratory Corporation of America Holdings (Labcorp), Morrisville, NC, USA
| | - Virginia B. Kraus
- Divisions of Rheumatology and Immunology, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - William E. Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Division of Cardiology, Duke University School of Medicine, Durham, NC, USA
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Metabolomic Signatures for the Effects of Weight Loss Interventions on Severe Obesity in Children and Adolescents. Metabolites 2021; 12:metabo12010027. [PMID: 35050149 PMCID: PMC8778282 DOI: 10.3390/metabo12010027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 12/25/2021] [Indexed: 01/04/2023] Open
Abstract
Childhood obesity has increased worldwide, and many clinical and public interventions have attempted to reduce morbidity. We aimed to determine the metabolomic signatures associated with weight control interventions in children with obesity. Forty children from the “Intervention for Children and Adolescent Obesity via Activity and Nutrition (ICAAN)” cohort were selected according to intervention responses. Based on changes in body mass index z-scores, 20 were responders and the remaining non-responders. Their serum metabolites were quantitatively analyzed using capillary electrophoresis time-of-flight mass spectrometry at baseline and after 6 and 18 months of intervention. After 18 months of intervention, the metabolite cluster changes in the responders and non-responders showed a difference on the heatmap, but significant metabolites were not clear. However, regardless of the responses, 13 and 49 metabolites were significant in the group of children with obesity intervention at 6 months and 18 months post-intervention compared to baseline. In addition, the top five metabolic pathways (D-glutamine and D-glutamate metabolism; arginine biosynthesis; alanine, aspartate, and glutamate metabolism; TCA cycle (tricarboxylic acid cycle); valine, leucine, and isoleucine biosynthesis) including several amino acids in the metabolites of obese children after 18 months were significantly changed. Our study showed significantly different metabolomic profiles based on time post obesity-related intervention. Through this study, we can better understand and predict childhood obesity through metabolite analysis and monitoring.
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Gander J, Carrard J, Gallart-Ayala H, Borreggine R, Teav T, Infanger D, Colledge F, Streese L, Wagner J, Klenk C, Nève G, Knaier R, Hanssen H, Schmidt-Trucksäss A, Ivanisevic J. Metabolic Impairment in Coronary Artery Disease: Elevated Serum Acylcarnitines Under the Spotlights. Front Cardiovasc Med 2021; 8:792350. [PMID: 34977199 PMCID: PMC8716394 DOI: 10.3389/fcvm.2021.792350] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Accepted: 11/09/2021] [Indexed: 12/26/2022] Open
Abstract
Coronary artery disease (CAD) remains the leading cause of death worldwide. Expanding patients' metabolic phenotyping beyond clinical chemistry investigations could lead to earlier recognition of disease onset and better prevention strategies. Additionally, metabolic phenotyping, at the molecular species level, contributes to unravel the roles of metabolites in disease development. In this cross-sectional study, we investigated clinically healthy individuals (n = 116, 65% male, 70.8 ± 8.7 years) and patients with CAD (n = 54, 91% male, 67.0 ± 11.5 years) of the COmPLETE study. We applied a high-coverage quantitative liquid chromatography-mass spectrometry approach to acquire a comprehensive profile of serum acylcarnitines, free carnitine and branched-chain amino acids (BCAAs), as markers of mitochondrial health and energy homeostasis. Multivariable linear regression analyses, adjusted for confounders, were conducted to assess associations between metabolites and CAD phenotype. In total, 20 short-, medium- and long-chain acylcarnitine species, along with L-carnitine, valine and isoleucine were found to be significantly (adjusted p ≤ 0.05) and positively associated with CAD. For 17 acylcarnitine species, associations became stronger as the number of affected coronary arteries increased. This implies that circulating acylcarnitine levels reflect CAD severity and might play a role in future patients' stratification strategies. Altogether, CAD is characterized by elevated serum acylcarnitine and BCAA levels, which indicates mitochondrial imbalance between fatty acid and glucose oxidation.
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Affiliation(s)
- Joséphine Gander
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Justin Carrard
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Hector Gallart-Ayala
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Rébecca Borreggine
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Tony Teav
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Denis Infanger
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Flora Colledge
- Division of Sports Science, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Lukas Streese
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Jonathan Wagner
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Christopher Klenk
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Gilles Nève
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Raphael Knaier
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Henner Hanssen
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
| | - Arno Schmidt-Trucksäss
- Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland
- Arno Schmidt-Trucksäss
| | - Julijana Ivanisevic
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
- *Correspondence: Julijana Ivanisevic
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Chevli PA, Freedman BI, Hsu FC, Xu J, Rudock ME, Ma L, Parks JS, Palmer ND, Shapiro MD. Plasma metabolomic profiling in subclinical atherosclerosis: the Diabetes Heart Study. Cardiovasc Diabetol 2021; 20:231. [PMID: 34876126 PMCID: PMC8653597 DOI: 10.1186/s12933-021-01419-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 11/15/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Incidence rates of cardiovascular disease (CVD) are increasing, partly driven by the diabetes epidemic. Novel prediction tools and modifiable treatment targets are needed to enhance risk assessment and management. Plasma metabolite associations with subclinical atherosclerosis were investigated in the Diabetes Heart Study (DHS), a cohort enriched for type 2 diabetes (T2D). METHODS The analysis included 700 DHS participants, 438 African Americans (AAs), and 262 European Americans (EAs), in whom coronary artery calcium (CAC) was assessed using ECG-gated computed tomography. Plasma metabolomics using liquid chromatography-mass spectrometry identified 853 known metabolites. An ancestry-specific marginal model incorporating generalized estimating equations examined associations between metabolites and CAC (log-transformed (CAC + 1) as outcome measure). Models were adjusted for age, sex, BMI, diabetes duration, date of plasma collection, time between plasma collection and CT exam, low-density lipoprotein cholesterol (LDL-C), and statin use. RESULTS At an FDR-corrected p-value < 0.05, 33 metabolites were associated with CAC in AAs and 36 in EAs. The androgenic steroids, fatty acid, phosphatidylcholine, and bile acid metabolism subpathways were associated with CAC in AAs, whereas fatty acid, lysoplasmalogen, and branched-chain amino acid (BCAA) subpathways were associated with CAC in EAs. CONCLUSIONS Strikingly different metabolic signatures were associated with subclinical coronary atherosclerosis in AA and EA DHS participants.
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Affiliation(s)
- Parag Anilkumar Chevli
- Section on Hospital Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Barry I Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jianzhao Xu
- Department of Biochemistry, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Megan E Rudock
- Department of Biochemistry, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC, 27157, USA
| | - Lijun Ma
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - John S Parks
- Section on Molecular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC, 27157, USA.
| | - Michael D Shapiro
- Section of Cardiovascular Medicine, Center for Preventive Cardiology, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC, 27157, USA.
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Multi-stage metabolomics and genetic analyses identified metabolite biomarkers of metabolic syndrome and their genetic determinants. EBioMedicine 2021; 74:103707. [PMID: 34801968 PMCID: PMC8605407 DOI: 10.1016/j.ebiom.2021.103707] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/07/2021] [Accepted: 11/05/2021] [Indexed: 12/18/2022] Open
Abstract
Background Metabolic syndrome (MetS) is a cluster of multiple cardiometabolic risk factors that increase the risk of type 2 diabetes and cardiovascular diseases. Identifying novel biomarkers of MetS and their genetic associations could provide insights into the mechanisms of cardiometabolic diseases. Methods Potential MetS-associated metabolites were screened and internally validated by untargeted metabolomics analyses among 693 patients with MetS and 705 controls. External validation was conducted using two well-established targeted metabolomic methods among 149 patients with MetS and 253 controls. The genetic associations of metabolites were determined by linear regression using our previous genome-wide SNP data. Causal relationships were assessed using a one-sample Mendelian Randomization (MR) approach. Findings Nine metabolites were ultimately found to be associated with MetS or its components. Five metabolites, including LysoPC(14:0), LysoPC(15:0), propionyl carnitine, phenylalanine, and docosapentaenoic acid (DPA) were selected to construct a metabolite risk score (MRS), which was found to have a dose-response relationship with MetS and metabolic abnormalities. Moreover, MRS displayed a good ability to differentiate MetS and metabolic abnormalities. Three SNPs (rs11635491, rs7067822, and rs1952458) were associated with LysoPC(15:0). Two SNPs, rs1952458 and rs11635491 were found to be marginally correlated with several MetS components. MR analyses showed that a higher LysoPC(15:0) level was causally associated with the risk of overweight/obesity, dyslipidaemia, high uric acid, high insulin and high HOMA-IR. Interpretation We identified five metabolite biomarkers of MetS and three SNPs associated with LysoPC(15:0). MR analyses revealed that abnormal LysoPC metabolism may be causally linked the metabolic risk. Funding This work was supported by grants from the National Key Research and Development Program of China (2017YFC0907004).
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Abstract
Background Cardiorespiratory fitness (CRF) is a potent health marker, the improvement of which is associated with a reduced incidence of non-communicable diseases and all-cause mortality. Identifying metabolic signatures associated with CRF could reveal how CRF fosters human health and lead to the development of novel health-monitoring strategies. Objective This article systematically reviewed reported associations between CRF and metabolites measured in human tissues and body fluids. Methods PubMed, EMBASE, and Web of Science were searched from database inception to 3 June, 2021. Metabolomics studies reporting metabolites associated with CRF, measured by means of cardiopulmonary exercise test, were deemed eligible. Backward and forward citation tracking on eligible records were used to complement the results of database searching. Risk of bias at the study level was assessed using QUADOMICS. Results Twenty-two studies were included and 667 metabolites, measured in plasma (n = 619), serum (n = 18), skeletal muscle (n = 16), urine (n = 11), or sweat (n = 3), were identified. Lipids were the metabolites most commonly positively (n = 174) and negatively (n = 274) associated with CRF. Specific circulating glycerophospholipids (n = 85) and cholesterol esters (n = 17) were positively associated with CRF, while circulating glycerolipids (n = 152), glycerophospholipids (n = 42), acylcarnitines (n = 14), and ceramides (n = 12) were negatively associated with CRF. Interestingly, muscle acylcarnitines were positively correlated with CRF (n = 15). Conclusions Cardiorespiratory fitness was associated with circulating and muscle lipidome composition. Causality of the revealed associations at the molecular species level remains to be investigated further. Finally, included studies were heterogeneous in terms of participants’ characteristics and analytical and statistical approaches. PROSPERO Registration Number CRD42020214375. Supplementary Information The online version contains supplementary material available at 10.1007/s40279-021-01590-y.
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The "Adipo-Cerebral" Dialogue in Childhood Obesity: Focus on Growth and Puberty. Physiopathological and Nutritional Aspects. Nutrients 2021; 13:nu13103434. [PMID: 34684432 PMCID: PMC8539184 DOI: 10.3390/nu13103434] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 09/18/2021] [Accepted: 09/21/2021] [Indexed: 01/08/2023] Open
Abstract
Overweight and obesity in children and adolescents are overwhelming problems in western countries. Adipocytes, far from being only fat deposits, are capable of endocrine functions, and the endocrine activity of adipose tissue, resumable in adipokines production, seems to be a key modulator of central nervous system function, suggesting the existence of an “adipo-cerebral axis.” This connection exerts a key role in children growth and puberty development, and it is exemplified by the leptin–kisspeptin interaction. The aim of this review was to describe recent advances in the knowledge of adipose tissue endocrine functions and their relations with nutrition and growth. The peculiarities of major adipokines are briefly summarized in the first paragraph; leptin and its interaction with kisspeptin are focused on in the second paragraph; the third paragraph deals with the regulation of the GH-IGF axis, with a special focus on the model represented by growth hormone deficiency (GHD); finally, old and new nutritional aspects are described in the last paragraph.
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The Association between Branched-Chain Amino Acids (BCAAs) and Cardiometabolic Risk Factors in Middle-Aged Caucasian Women Stratified According to Glycemic Status. Nutrients 2021; 13:nu13103307. [PMID: 34684308 PMCID: PMC8538048 DOI: 10.3390/nu13103307] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 09/17/2021] [Accepted: 09/19/2021] [Indexed: 02/07/2023] Open
Abstract
We examined the glycemic status-stratified relationships between total serum branched-chain amino acid (BCAA) concentrations and cardiometabolic risk factors in middle-aged Caucasian women. The study included 349 women divided into 2 subgroups: a normoglycemic group (NG, n = 184) and a dysglycemic group (DG, n = 165). Blood samples, anthropometric parameters, and blood pressure were measured. HOMA-IR, albumin-corrected calcium (CCa), and fatty liver index (FLI) were calculated. BCAA concentrations were higher in the women with dysglycemia. BCAAs moderately correlated with BMI and FLI in the NG group and with BMI, FLI, total calcium (TCa), CCa, HbA1c, TG/HDL-C, and HDL-C in the DG group. After adjusting for age and BMI, correlations for TCa, CCa, HbA1c, HDL-C, and TG/HDL-C remained significant. The coexistence of increased BCAAs with dysglycemic status was associated with markedly higher concentrations of TCa, CCa, HbA1c, and TG, which were not observed in the DG women with low level of BCAAs. Multiple regression showed that TCa or CCa, age and BCAAs were significantly associated with HbA1c independently of BMI only in the DG group. We conclude that dysglycemia in particular predisposes women to a significant relationship between total BCAAs and circulating calcium and HbA1c, and that these relationships are independent of BMI and may reflect the pathophysiological calcium-dependent mechanisms connecting BCAAs with metabolic disturbances.
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