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Yin C, Liu L, Xu D, Li M, Li M, Qin Y, Zhang B, Sun Y, Liu Y, Xiao Y. Integrative metagenomic and lipidomic analyses reveal alterations in children with obesity and after lifestyle intervention. Front Nutr 2024; 11:1423724. [PMID: 39318384 PMCID: PMC11420138 DOI: 10.3389/fnut.2024.1423724] [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: 04/26/2024] [Accepted: 08/26/2024] [Indexed: 09/26/2024] Open
Abstract
Background Despite emerging evidence linking alterations in gut microbiota to childhood obesity, the metabolic mechanisms linking gut microbiota to the lipid profile during childhood obesity and weight loss remain poorly understood. Methodology In this study, children with obesity were treated with lifestyle weight loss therapy. Metagenomics association studies and serum untargeted lipidomics analyses were performed in children with obesity and healthy controls before and after weight loss. Main findings We identified alterations in gut microbiota associated with childhood obesity, as well as variations in circulating metabolite concentrations. Children with obesity showed significant decreases in the levels of s-Rothia_kristinae and s-Enterobacter_roggenkampii, alongsige elevated levels of s-Clostridiales_bacterium_Marseille-P5551. Following weight loss, the levels of s-Streptococcus_infantarius and s-Leuconostoc_citreum increased by factors of 3.354 and 1.505, respectively, in comparison to their pre-weight loss levels. Correlation analyses indicated a significant positive relationship between ChE(2:0) levels and both with s-Lachnospiraceae_bacterium_TF09-5 and fasting glucose levels. CoQ8 levels were significantly negatively correlated with s-Rothia_kristinae and HOMA-IR. Conclusion We linked altered gut microbiota and serum lipid levels in children with obesity to clinical indicators, indicating a potential impact on glucose metabolism via lipids. This study contributes to understanding the mechanistic relationship between altered gut microbiota and childhood obesity and weight loss, suggesting gut microbiome as a promising target for intervention. Clinical trial registration https://www.chictr.org.cn/showproj.html?proj=178971, ChiCTR2300072179.
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Affiliation(s)
- Chunyan Yin
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Lujie Liu
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Dong Xu
- Department of Pediatrics, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Meng Li
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Min Li
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yujie Qin
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Bei Zhang
- Department of Pediatrics, Luoyang Central Hospital, Luoyang, China
| | - Yongfa Sun
- Department of Pediatrics, Luoyang Central Hospital, Luoyang, China
| | - Yuesheng Liu
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yanfeng Xiao
- Department of Pediatrics, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
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Jensch R, Baber R, Körner A, Kiess W, Ceglarek U, Garten A, Vogel M. Association of Whole Blood Amino Acid and Acylcarnitine Metabolome with Anthropometry and IGF-I Serum Levels in Healthy Children and Adolescents in Germany. Metabolites 2024; 14:489. [PMID: 39330496 PMCID: PMC11433988 DOI: 10.3390/metabo14090489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Revised: 08/27/2024] [Accepted: 09/02/2024] [Indexed: 09/28/2024] Open
Abstract
BACKGROUND Physiological changes of blood amino acids and acylcarnitines during healthy child development are poorly studied. The LIFE (Leipziger Forschungszentrum für Zivilisationserkrankungen) Child study offers a platform with a large cohort of healthy children to investigate these dynamics. We aimed to assess the intra-person variability of 28 blood metabolites and their associations with anthropometric parameters related to growth and excess body fat. METHODS Concentrations of 22 amino acids (AA), 5 acylcarnitines (AC) and free carnitine of 2213 children aged between 3 months and 19 years were analyzed using liquid chromatography/tandem mass spectrometry. Values were transformed into standard deviation scores (SDS) to account for sex- and age-related variations. The stability of metabolites was assessed through the coefficient of determination. Associations with parameters for body composition and insulin-like growth factor-I (IGF-I) SDS were determined by the Pearson correlation and linear regression. RESULTS Our research revealed substantial within-person variation in metabolite concentrations during childhood and adolescence. Most metabolites showed a positive correlation with body composition parameters, with a notable influence of sex, pubertal status and weight group. Glycine exhibited negative associations with parameters of body fat distribution, especially in normal weight girls, overweight/obese boys and during puberty. CONCLUSION Blood AA and AC measurements may contribute to elucidating pathogenesis pathways of adiposity-related comorbidities, but the specific timings and conditions of development during childhood and adolescence need to be taken into consideration.
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Affiliation(s)
- Ricky Jensch
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany; (R.B.); (A.K.); (W.K.); (U.C.); (M.V.)
- Hospital for Children and Adolescents and Center for Pediatric Research (CPL), University of Leipzig, Liebigstrasse 19-21, 04103 Leipzig, Germany;
| | - Ronny Baber
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany; (R.B.); (A.K.); (W.K.); (U.C.); (M.V.)
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics (ILM), University Hospital Leipzig, Paul-List Str. 13/15, 04103 Leipzig, Germany
| | - Antje Körner
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany; (R.B.); (A.K.); (W.K.); (U.C.); (M.V.)
- Hospital for Children and Adolescents and Center for Pediatric Research (CPL), University of Leipzig, Liebigstrasse 19-21, 04103 Leipzig, Germany;
- German Center for Child and Adolescent Health (DZKJ), Leipzig/Dresden Partner Site, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany
| | - Wieland Kiess
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany; (R.B.); (A.K.); (W.K.); (U.C.); (M.V.)
- Hospital for Children and Adolescents and Center for Pediatric Research (CPL), University of Leipzig, Liebigstrasse 19-21, 04103 Leipzig, Germany;
- German Center for Child and Adolescent Health (DZKJ), Leipzig/Dresden Partner Site, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany
| | - Uta Ceglarek
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany; (R.B.); (A.K.); (W.K.); (U.C.); (M.V.)
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics (ILM), University Hospital Leipzig, Paul-List Str. 13/15, 04103 Leipzig, Germany
| | - Antje Garten
- Hospital for Children and Adolescents and Center for Pediatric Research (CPL), University of Leipzig, Liebigstrasse 19-21, 04103 Leipzig, Germany;
| | - Mandy Vogel
- LIFE Child, LIFE Leipzig Research Center for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany; (R.B.); (A.K.); (W.K.); (U.C.); (M.V.)
- Hospital for Children and Adolescents and Center for Pediatric Research (CPL), University of Leipzig, Liebigstrasse 19-21, 04103 Leipzig, Germany;
- German Center for Child and Adolescent Health (DZKJ), Leipzig/Dresden Partner Site, Philipp-Rosenthal-Strasse 27, 04103 Leipzig, Germany
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Wang T, Zhang Y, Jia L, Li Y, Wang L, Zhu Y, Jiang Y, Zhao F, Wang S, Song D. LC-MS/MS-based bioanalysis of branched-chain and aromatic amino acids in human serum. Bioanalysis 2024; 16:693-704. [PMID: 39157863 PMCID: PMC11389736 DOI: 10.1080/17576180.2024.2387467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 07/30/2024] [Indexed: 08/20/2024] Open
Abstract
Aim: Branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) were suggested as potential biomarkers in liver disease. This study aimed to develop and validate a simple and rapid LC-MS/MS method to simultaneously measure serum BCAAs and AAAs levels in patients with liver injury, and further establish reference intervals of Chinese healthy adult populations.Patients & methods: Samples were prepared by a one-step protein precipitation and analysis time was 4 min per run.Results: The validation results showed good linearity (r2 >0.9969), satisfactory accuracy (94.44% - 107.75%) and precision (0.10% - 5.90%).Conclusion: This method proved to be suitable for high-throughput routine clinical use and could be a valuable adjunct diagnosis tool for liver injury and other clinical applications.
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Affiliation(s)
- Tianyi Wang
- Department of GCP, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, P.R. China
| | - Yalian Zhang
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
| | - Luan Jia
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
| | - Ying Li
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
| | - Lu Wang
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
| | - Yanru Zhu
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
| | - Yuxin Jiang
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
- Dalian Runsheng Kangtai Medical Lab Co. Ltd, Dalian, P.R. China
| | - Furong Zhao
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
- Dalian Runsheng Kangtai Medical Lab Co. Ltd, Dalian, P.R. China
- Liaoning Provincial Key Laboratory of Clinical Oncology Metabonomics, Jinzhou Medical University, Jinzhou, P.R. China
| | - Shuang Wang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, NHC Key Lab of Reproduction Regulation, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, P.R. China
| | - Dan Song
- Dalian Boyuan Medical Technology Co. Ltd, Dalian, P.R. China
- Liaoning Provincial Key Laboratory of Clinical Oncology Metabonomics, Jinzhou Medical University, Jinzhou, P.R. China
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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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India-Aldana S, Yao M, Midya V, Colicino E, Chatzi L, Chu J, Gennings C, Jones DP, Loos RJF, Setiawan VW, Smith MR, Walker RW, Barupal D, Walker DI, Valvi D. PFAS Exposures and the Human Metabolome: A Systematic Review of Epidemiological Studies. CURRENT POLLUTION REPORTS 2023; 9:510-568. [PMID: 37753190 PMCID: PMC10520990 DOI: 10.1007/s40726-023-00269-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/03/2023] [Indexed: 09/28/2023]
Abstract
Purpose of Review There is a growing interest in understanding the health effects of exposure to per- and polyfluoroalkyl substances (PFAS) through the study of the human metabolome. In this systematic review, we aimed to identify consistent findings between PFAS and metabolomic signatures. We conducted a search matching specific keywords that was independently reviewed by two authors on two databases (EMBASE and PubMed) from their inception through July 19, 2022 following PRISMA guidelines. Recent Findings We identified a total of 28 eligible observational studies that evaluated the associations between 31 different PFAS exposures and metabolomics in humans. The most common exposure evaluated was legacy long-chain PFAS. Population sample sizes ranged from 40 to 1,105 participants at different stages across the lifespan. A total of 19 studies used a non-targeted metabolomics approach, 7 used targeted approaches, and 2 included both. The majority of studies were cross-sectional (n = 25), including four with prospective analyses of PFAS measured prior to metabolomics. Summary Most frequently reported associations across studies were observed between PFAS and amino acids, fatty acids, glycerophospholipids, glycerolipids, phosphosphingolipids, bile acids, ceramides, purines, and acylcarnitines. Corresponding metabolic pathways were also altered, including lipid, amino acid, carbohydrate, nucleotide, energy metabolism, glycan biosynthesis and metabolism, and metabolism of cofactors and vitamins. We found consistent evidence across studies indicating PFAS-induced alterations in lipid and amino acid metabolites, which may be involved in energy and cell membrane disruption.
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Affiliation(s)
- Sandra India-Aldana
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Meizhen Yao
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Vishal Midya
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Leda Chatzi
- Department of Population and Public Health Sciences, Keck
School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jaime Chu
- Department of Pediatrics, Icahn School of Medicine at Mount
Sinai, New York, NY, USA
| | - Chris Gennings
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Dean P. Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary,
Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA, USA
| | - Ruth J. F. Loos
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
- Charles Bronfman Institute for Personalized Medicine, Icahn
School of Medicine at Mount Sinai, New York, NY, USA
- Faculty of Health and Medical Sciences, Novo Nordisk
Foundation Center for Basic Metabolic Research, University of Copenhagen,
Copenhagen, Denmark
| | - Veronica W. Setiawan
- Department of Population and Public Health Sciences, Keck
School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Mathew Ryan Smith
- Clinical Biomarkers Laboratory, Division of Pulmonary,
Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA, USA
- Veterans Affairs Medical Center, Decatur, GA, USA
| | - Ryan W. Walker
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Dinesh Barupal
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Douglas I. Walker
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1057, New
York, NY 10029, USA
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6
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Okekunle AP, Lee H, Provido SMP, Chung GH, Hong S, Yu SH, Lee CB, Lee JE. Dietary intakes of branched-chain amino acids and plasma lipid profiles among filipino women in Korea: the Filipino Women's Diet and Health Study (FiLWHEL). Nutr J 2023; 22:34. [PMID: 37430285 DOI: 10.1186/s12937-023-00861-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/24/2023] [Indexed: 07/12/2023] Open
Abstract
BACKGROUND The potential role of dietary branched-chain amino acids (BCAA) in metabolic health, including cardiovascular disease and diabetes, is evolving, and it is yet to be understood if dietary BCAA intakes are associated with plasma lipid profiles or dyslipidaemia. This study tested the association of dietary BCAA intakes with plasma lipid profiles and dyslipidaemia among Filipino women in Korea. METHODS Energy-adjusted dietary BCAA intakes (isoleucine, leucine, valine, and total BCAA) and fasting blood profiles of triglycerides (TG), total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), and low-density lipoprotein-cholesterol (LDL-C) were determined in a sample of 423 women enrolled in the Filipino Women's Diet and Health Study (FiLWHEL). The generalized linear model was applied to estimate least-square (LS) means and 95% confidence intervals (CIs) and compare plasma TG, TC, HDL-C, and LDL-C across tertile distribution of energy-adjusted dietary BCAA intakes at P < 0.05. RESULTS Mean of energy-adjusted dietary total BCAA intake was 8.3 ± 3.9 g/d. Average plasma lipid profiles were 88.5 ± 47.4 mg/dl for TG, 179.7 ± 34.5 mg/dl for TC, 58.0 ± 13.7 mg/dl for HDL-C, and 104.0 ± 30.5 mg/dl for LDL-C. LS means, and 95% CIs across tertiles of energy-adjusted total BCAA intakes were 89.9 mg/dl, 88.8 mg/dl and 85.8 mg/dl (P-trend = 0.45) for TG, 179.1 mg/dl, 183.6 mg/dl and 176.5 mg/dl (P-trend = 0.48) for TC, 57.5 mg/dl, 59.6 mg/dl and 57.1 mg/dl (P-trend = 0.75) for HDL-C and 103.6 mg/dl, 106.2 mg/dl and 102.3 mg/dl (P-trend = 0.68) for LDL-C. Furthermore, the multivariable-adjusted prevalence ratios and 95% confidence intervals for dyslipidaemia across increasing tertile distribution of energy-adjusted total BCAA intake were; 1.00, 0.67 (0.40, 1.13) and 0.45 (0.16, 1.27; P-trend = 0.03) for the first, second and third tertile, respectively. CONCLUSIONS Higher dietary intakes of BCAA presented a statistically significant inverse trend with the prevalence of dyslipidaemia among Filipino women in this study and testing these associations in longitudinal studies may be necessary to confirm these findings.
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Grants
- 2020H1D3A1A04081265 National Research Foundation of Korea
- 2020H1D3A1A04081265 National Research Foundation of Korea
- 0448A-2021077 Seoul National University Asia Center
- 201300000001270 Hanmi Pharmaceutical Co., Ltd. Korea
- 201300000001270 Hanmi Pharmaceutical Co., Ltd. Korea
- 201300000001270 Hanmi Pharmaceutical Co., Ltd. Korea
- 201300000001270 Hanmi Pharmaceutical Co., Ltd. Korea
- 201600000000225 Chong Kun Dang Pharm., Seoul, Korea
- 201600000000225 Chong Kun Dang Pharm., Seoul, Korea
- 201600000000225 Chong Kun Dang Pharm., Seoul, Korea
- 201600000000225 Chong Kun Dang Pharm., Seoul, Korea
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Affiliation(s)
- Akinkunmi Paul Okekunle
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, 1 Gwanak- ro, Gwanak-gu, Seoul, 08826, Korea
- Research Institute of Human Ecology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea
| | - Heejin Lee
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, 1 Gwanak- ro, Gwanak-gu, Seoul, 08826, Korea
| | - Sherlyn Mae P Provido
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, 1 Gwanak- ro, Gwanak-gu, Seoul, 08826, Korea
| | - Grace H Chung
- Department of Child Development & Family Studies, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea
| | - Sangmo Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, 153 Gyeongchun-ro, Guri, 11923, Korea
| | - Sung Hoon Yu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, 153 Gyeongchun-ro, Guri, 11923, Korea
| | - Chang Beom Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Hanyang University Guri Hospital, Hanyang University College of Medicine, 153 Gyeongchun-ro, Guri, 11923, Korea
| | - Jung Eun Lee
- Department of Food and Nutrition, College of Human Ecology, Seoul National University, 1 Gwanak- ro, Gwanak-gu, Seoul, 08826, Korea.
- Research Institute of Human Ecology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea.
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Zeng X, Chen T, Cui Y, Zhao J, Chen Q, Yu Z, Zhang Y, Han L, Chen Y, Zhang J. In utero exposure to perfluoroalkyl substances and early childhood BMI trajectories: A mediation analysis with neonatal metabolic profiles. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 867:161504. [PMID: 36634772 DOI: 10.1016/j.scitotenv.2023.161504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/30/2022] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND In utero perfluoroalkyl substances (PFAS) exposure has been associated with childhood adiposity, but the mechanisms are poorly known. OBJECTIVE To investigate the potential mediating role of neonatal metabolites in the relationship between prenatal PFAS exposure and childhood adiposity trajectories in the first four years of life. METHODS We analyzed the data for 1671 mother-child pairs from the Shanghai Birth Cohort study. We included those with PFAS exposure information in early pregnancy, neonatal metabolites data and at least three child anthropometric measurements at 6, 12, 24 and/or 48 months. Body mass index (BMI) z-score trajectories were identified using latent class growth mixture modeling. The associations between PFAS concentrations and trajectory classes were assessed using multinomial logistic regression. Screening and penalization-based selection was used to identify neonatal amino acids and acylcarnitines with significant mediation effects. RESULTS Three BMI z-score trajectories in early childhood were identified: a persistent increase trajectory (Class 1, 2.2 %), a stable trajectory (Class 2, 66 %), and a transient increase trajectory (Class 3, 32 %). Increased odds of being in Class 1 were observed in association with one log-unit increase in concentrations of perfluorooctane sulfonate (odds ratio [OR], 1.76 [95 % CI, 0.96-3.23], Class 2 as reference; OR, 2.36 [95 % CI, 1.27-4.40], Class 3 as reference), perfluorononanoic acid (OR, 1.90 [95 % CI, 0.97-3.72], Class 2 as reference; OR, 2.23 [95 % CI, 1.12-4.42], Class 3 as reference) and perfluorodecanoic acid (OR, 1.95 [95 % CI, 1.12-3.38], Class 2 as reference; OR, 2.14 [95 % CI, 1.22-3.76], Class 3 as reference). The effect of prenatal PFAS exposure on being in Class 1 was significantly but partly mediated by octanoylcarnitine (2.64 % for perfluorononanoic acid and 3.70 % for sum of 10 PFAS). CONCLUSIONS In utero PFAS exposure is a risk factor for persistent growth in BMI z-score in early childhood. The alteration of neonatal acylcarnitines suggests a potential molecular pathway.
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Affiliation(s)
- Xiaojing Zeng
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Ting Chen
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yidan Cui
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Jian Zhao
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Qian Chen
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Zhangsheng Yu
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yongjun Zhang
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Lianshu Han
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Yan Chen
- Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.
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8
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Bagheripour F, Jeddi S, Kashfi K, Ghasemi A. Metabolic effects of L-citrulline in type 2 diabetes. Acta Physiol (Oxf) 2023; 237:e13937. [PMID: 36645144 DOI: 10.1111/apha.13937] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 01/01/2023] [Accepted: 01/10/2023] [Indexed: 01/17/2023]
Abstract
The prevalence of type 2 diabetes (T2D) is increasing worldwide. Decreased nitric oxide (NO) bioavailability is involved in the pathophysiology of T2D and its complications. L-citrulline (Cit), a precursor of NO production, has been suggested as a novel therapeutic agent for T2D. Available data from human and animal studies indicate that Cit supplementation in T2D increases circulating levels of Cit and L-arginine while decreasing circulating glucose and free fatty acids and improving dyslipidemia. The underlying mechanisms for these beneficial effects of Cit include increased insulin secretion from the pancreatic β cells, increased glucose uptake by the skeletal muscle, as well as increased lipolysis and β-oxidation, and decreased glyceroneogenesis in the adipose tissue. Thus, Cit has antihyperglycemic, antidyslipidemic, and antioxidant effects and has the potential to be used as a new therapeutic agent in the management of T2D. This review summarizes available literature from human and animal studies to explore the effects of Cit on metabolic parameters in T2D. It also discusses the possible mechanisms underlying Cit-induced improved metabolic parameters in T2D.
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Affiliation(s)
- Fatemeh Bagheripour
- Endocrine Physiology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sajad Jeddi
- Endocrine Physiology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Khosrow Kashfi
- Department of Molecular, Cellular and Biomedical Sciences, Sophie Davis School of Biomedical Education, City University of New York School of Medicine, New York, New York, USA
| | - Asghar Ghasemi
- Endocrine Physiology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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9
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Jeong S, Jang HB, Kim HJ, Lee HJ. Identification of Biomarkers Related to Metabolically Unhealthy Obesity in Korean Obese Adolescents: A Cross-Sectional Study. CHILDREN (BASEL, SWITZERLAND) 2023; 10:children10020322. [PMID: 36832451 PMCID: PMC9955165 DOI: 10.3390/children10020322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 01/25/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND The current study aimed to screen for relationships and different potential metabolic biomarkers involved between metabolically healthy obesity (MHO) and metabolically unhealthy obesity (MUO) in adolescents. METHODS The study included 148 obese adolescents aged between 14 and 16. The study participants were divided into MUO and MHO groups based on the age-specific adolescent metabolic syndrome (MetS) criteria of the International Diabetes Federation. The current study was conducted to investigate the clinical and metabolic differences between the MHO and MUO groups. Multivariate analyses were conducted to investigate the metabolites as independent predictors for the odds ratio and the presence of the MetS. RESULTS There were significant differences in the three acylcarnitines, five amino acids, glutamine/glutamate ratio, three biogenic amines, two glycerophospholipids, and the triglyceride-glucose index between the MUO group and those in the MHO group. Moreover, several metabolites were associated with the prevalence of MUO. Additionally, several metabolites were inversely correlated with MHO in the MUO group. CONCLUSIONS In this study, the biomarkers found in this study have the potential to reflect the clinical outcomes of the MUO group. These biomarkers will lead to a better understanding of MetS in obese adolescents.
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Affiliation(s)
| | | | | | - Hye-Ja Lee
- Correspondence: ; Tel.: +82-43-719-8452; Fax: +82-43-719-8709
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10
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The relationship between islet β-cell function and metabolomics in overweight patients with Type 2 diabetes. Biosci Rep 2023; 43:232114. [PMID: 36398677 PMCID: PMC9902842 DOI: 10.1042/bsr20221430] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 10/19/2022] [Accepted: 11/17/2022] [Indexed: 11/19/2022] Open
Abstract
A cross-sectional study was performed using metabolomics in overweight patients with Type 2 diabetes (T2D) at different stages of the disease. We aimed to identify potential metabolites for assessing islet β-cell function in order to investigate the correlation between islet β-cell dysfunction and metabolite changes in overweight patients with T2D. We selected 60 overweight adults (24 ≤ body mass index [BMI] < 28 kg/m2) with T2D who had been admitted to our hospital. The participants were equally divided into three groups according to disease duration: H1 (duration ≤ 5 years), H2 (5 years < duration ≤ 10 years), and H3 (duration > 10 years). Questionnaires, physical examinations, laboratory tests, and imaging studies were administered to all participants. The modified homeostasis model of assessment (HOMA) index was calculated using fasting C-peptide levels, and metabolite assays were performed using mass spectrometry. The results showed that HOMA-β and visceral fat area (VFA) were negatively correlated with diabetes duration. The VFA was positively correlated with arginine, cysteine, methionine, proline, and succinyl/methylmalonylcarnitine levels. The HOMA-β was negatively correlated with the serine and tetradecanoyldiacylcarnitine levels, and positively correlated with the aspartic acid, cysteine, homocysteine, piperamide, proline, and valine levels. The HOMA-IR was negatively correlated with hydroxypalmitoylcarnitine levels and positively correlated with the myristoylcarnitine levels. Thus, at different stages of T2D progression in overweight patients, serine, aspartic acid, cysteine, homocysteine, piperamide, proline, valine, and tetradecanoyldiacylcarnitine may be associated with HOMA-β and represent potential novel biomarkers for evaluating islet β-cell function.
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11
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Tripolt NJ, Hofer SJ, Pferschy PN, Aziz F, Durand S, Aprahamian F, Nirmalathasan N, Waltenstorfer M, Eisenberg T, Obermayer AMA, Riedl R, Kojzar H, Moser O, Sourij C, Bugger H, Oulhaj A, Pieber TR, Zanker M, Kroemer G, Madeo F, Sourij H. Glucose Metabolism and Metabolomic Changes in Response to Prolonged Fasting in Individuals with Obesity, Type 2 Diabetes and Non-Obese People-A Cohort Trial. Nutrients 2023; 15:511. [PMID: 36771218 PMCID: PMC9921960 DOI: 10.3390/nu15030511] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 01/21/2023] Open
Abstract
Metabolic regulation of glucose can be altered by fasting periods. We examined glucose metabolism and metabolomics profiles after 12 h and 36 h fasting in non-obese and obese participants and people with type 2 diabetes using oral glucose tolerance (OGTT) and intravenous glucose tolerance testing (IVGTT). Insulin sensitivity was estimated by established indices and mass spectrometric metabolomics was performed on fasting serum samples. Participants had a mean age of 43 ± 16 years (62% women). Fasting levels of glucose, insulin and C-peptide were significantly lower in all cohorts after 36 h compared to 12 h fasting (p < 0.05). In non-obese participants, glucose levels were significantly higher after 36 h compared to 12 h fasting at 120 min of OGTT (109 ± 31 mg/dL vs. 79 ± 18 mg/dL; p = 0.001) but insulin levels were lower after 36 h of fasting at 30 min of OGTT (41.2 ± 34.1 mU/L after 36 h vs. 56.1 ± 29.7 mU/L; p < 0.05). In contrast, no significant differences were observed in obese participants or people with diabetes. Insulin sensitivity improved in all cohorts after 36 h fasting. In line, metabolomics revealed subtle baseline differences and an attenuated metabolic response to fasting in obese participants and people with diabetes. Our data demonstrate an improved insulin sensitivity after 36 h of fasting with higher glucose variations and reduced early insulin response in non-obese people only.
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Affiliation(s)
- Norbert J. Tripolt
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Sebastian J. Hofer
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
- BioTechMed Graz, 8010 Graz, Austria
- Field of Excellence BioHealth, University of Graz, 8010 Graz, Austria
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Peter N. Pferschy
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
- Center for Biomarker Research in Medicine (CBmed), 8010 Graz, Austria
| | - Faisal Aziz
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Sylvère Durand
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Fanny Aprahamian
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Nitharsshini Nirmalathasan
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Mara Waltenstorfer
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
| | - Tobias Eisenberg
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
- BioTechMed Graz, 8010 Graz, Austria
- Field of Excellence BioHealth, University of Graz, 8010 Graz, Austria
| | - Anna M. A. Obermayer
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Regina Riedl
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8010 Graz, Austria
| | - Harald Kojzar
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
- Center for Biomarker Research in Medicine (CBmed), 8010 Graz, Austria
| | - Othmar Moser
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
- Department of Sport Science, Division of Exercise Physiology and Metabolism, University of Bayreuth, 95440 Bayreuth, Germany
| | - Caren Sourij
- Division of Cardiology, Medical University of Graz, 8010 Graz, Austria
| | - Heiko Bugger
- Division of Cardiology, Medical University of Graz, 8010 Graz, Austria
| | - Abderrahim Oulhaj
- Department of Epidemiology and Population Health, College of Medicine and Health Sciences, Khalifa University Abu Dhabi, Al-Ain P.O. Box 17666, United Arab Emirates
| | - Thomas R. Pieber
- BioTechMed Graz, 8010 Graz, Austria
- Center for Biomarker Research in Medicine (CBmed), 8010 Graz, Austria
- Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Matthias Zanker
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Guido Kroemer
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Department of Biology, Institut du Cancer Paris CARPEM, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France
| | - Frank Madeo
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
- BioTechMed Graz, 8010 Graz, Austria
- Field of Excellence BioHealth, University of Graz, 8010 Graz, Austria
| | - Harald Sourij
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
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González-Domínguez Á, Armeni M, Savolainen O, Lechuga-Sancho AM, Landberg R, González-Domínguez R. Untargeted Metabolomics Based on Liquid Chromatography-Mass Spectrometry for the Analysis of Plasma and Erythrocyte Samples in Childhood Obesity. Methods Mol Biol 2023; 2571:115-122. [PMID: 36152155 DOI: 10.1007/978-1-0716-2699-3_11] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The circulating metabolome of human peripheral blood provides valuable information to investigate the molecular mechanisms underlying the development of diseases and to discover candidate biomarkers. In particular, erythrocytes have been proposed as potential systemic indicators of the metabolic and redox status of the organism. To accomplish wide-coverage metabolomics analysis, the combination of complementary analytical techniques is necessary to manage the physicochemical complexity of the human metabolome. Herein, we describe an untargeted metabolomics method to capture the plasmatic and erythroid metabolomes based on ultrahigh-performance liquid chromatography coupled to high-resolution mass spectrometry, combining reversed-phase liquid chromatography and hydrophilic interaction liquid chromatography. The method provides comprehensive metabolomics fingerprinting of plasma and erythrocyte samples, thereby enabling the elucidation of the distinctive metabolic disturbances behind childhood obesity and associated comorbidities, such as insulin resistance.
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Affiliation(s)
- Álvaro González-Domínguez
- Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain
| | - Marina Armeni
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
- Department of Biology and Biological Engineering, Chalmers Mass Spectrometry Infrastructure, Chalmers University of Technology, Gothenburg, Sweden
| | - Otto Savolainen
- Department of Biology and Biological Engineering, Chalmers Mass Spectrometry Infrastructure, Chalmers University of Technology, Gothenburg, Sweden
| | - Alfonso María Lechuga-Sancho
- Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain
- Departamento Materno Infantil y Radiología, Facultad de Medicina, Universidad de Cádiz, Cádiz, Spain
- Unidad de Endocrinología Pediátrica y Diabetes, Servicio de Pediatría, Hospital Universitario Puerta del Mar, Cádiz, Spain
| | - Rikard Landberg
- Division of Food and Nutrition Science, Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Raúl González-Domínguez
- Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain.
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13
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Gumus Balikcioglu P, Jachthuber Trub C, Balikcioglu M, Ilkayeva O, White PJ, Muehlbauer M, Bain JR, Armstrong S, Freemark M. Branched-chain α-keto acids and glutamate/glutamine: Biomarkers of insulin resistance in childhood obesity. Endocrinol Diabetes Metab 2023; 6:e388. [PMID: 36415168 PMCID: PMC9836245 DOI: 10.1002/edm2.388] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/09/2022] [Accepted: 10/16/2022] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Insulin resistance (IR) in adolescents with obesity is associated with a sex-dependent metabolic 'signature' comprising the branched-chain amino acids (BCAAs), glutamate/glutamine, C3/C5 acylcarnitines and uric acid. Here, we compared the levels of branched-chain α-keto acids (BCKAs) and glutamate/glutamine, which are the byproducts of BCAA catabolism and uric acid among adolescents with obesity prior to and following a 6-month lifestyle-intervention program. METHODS Fasting plasma samples from 33 adolescents with obesity (16 males, 17 females, aged 12-18 year) were analysed by flow-injection tandem MS and LC-MS/MS. Multiple linear regression models were used to correlate changes in BCKAs, glutamate/glutamine and uric acid with changes in weight and insulin sensitivity as assessed by HOMA-IR, adiponectin and the ratio of triglyceride (TG) to HDL. In predictive models, BCKAs, glutamate/glutamine and uric acid at baseline were used as explanatory variables. RESULTS Baseline BCKAs, glutamate/glutamine and uric acid were higher in males than females despite comparable BMI-metrics. Following lifestyle-intervention, α-keto-β-methylvalerate (α-KMV, a metabolic by product of isoleucine) decreased in males but not in females. The ratio of BCKA/BCAA trended lower in males. In the cohort as a whole, BCKAs correlated positively with the ratio of TG to HDL at baseline and HOMA-IR at 6-month-follow-up. Glutamate/glutamine was positively associated with HOMA-IR at baseline and 6-month-follow-up. A reduction in BCKAs was associated with an increase in adiponectin, and those with higher BCKAs at baseline had higher adiponectin levels at 6-month-follow-up. Interestingly those adolescents with higher uric acid levels at baseline had greater reduction in weight. CONCLUSIONS BCKAs and glutamate/glutamine may serve as biomarkers of IR in adolescents with obesity, and uric acid might serve as a predictor of weight loss in response to lifestyle-intervention. Differential regulation of BCAA catabolism in adolescent males and females implicates critical roles for sex steroids in metabolic homeostasis.
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Affiliation(s)
- Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, North Carolina, USA.,Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
| | | | - Metin Balikcioglu
- Advanced Analytics Division, SAS Institute Inc, Cary, North Carolina, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Phillip J White
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
| | - James R Bain
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA.,Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, North Carolina, USA
| | - Sarah Armstrong
- Division of General Pediatrics and Adolescent Health, Duke University Medical Center, Durham, North Carolina, USA.,Department of Family Medicine and Community Health, Duke University Medical Center, Durham, North Carolina, USA.,Department of Population Health Sciences, Duke University Medical Center, Durham, North Carolina, USA.,Duke Clinical Research Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, North Carolina, USA.,Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina, USA
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14
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Amino Acid-Related Metabolic Signature in Obese Children and Adolescents. Nutrients 2022; 14:nu14071454. [PMID: 35406066 PMCID: PMC9003189 DOI: 10.3390/nu14071454] [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: 02/28/2022] [Revised: 03/24/2022] [Accepted: 03/25/2022] [Indexed: 02/06/2023] Open
Abstract
The growing interest in metabolomics has spread to the search for suitable predictive biomarkers for complications related to the emerging issue of pediatric obesity and its related cardiovascular risk and metabolic alteration. Indeed, several studies have investigated the association between metabolic disorders and amino acids, in particular branched-chain amino acids (BCAAs). We have performed a revision of the literature to assess the role of BCAAs in children and adolescents' metabolism, focusing on the molecular pathways involved. We searched on Pubmed/Medline, including articles published until February 2022. The results have shown that plasmatic levels of BCAAs are impaired already in obese children and adolescents. The relationship between BCAAs, obesity and the related metabolic disorders is explained on one side by the activation of the mTORC1 complex-that may promote insulin resistance-and on the other, by the accumulation of toxic metabolites, which may lead to mitochondrial dysfunction, stress kinase activation and damage of pancreatic cells. These compounds may help in the precocious identification of many complications of pediatric obesity. However, further studies are still needed to better assess if BCAAs may be used to screen these conditions and if any other metabolomic compound may be useful to achieve this goal.
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15
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Zhang S, Dang Y. Roles of gut microbiota and metabolites in overweight and obesity of children. Front Endocrinol (Lausanne) 2022; 13:994930. [PMID: 36157438 PMCID: PMC9492854 DOI: 10.3389/fendo.2022.994930] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022] Open
Abstract
The prevalence of overweight and obesity in children and adolescents is an increasing public health problem. Pediatric overweight and obesity result from multiple factors, including genetic background, diet, and lifestyle. In addition, the gut microbiota and their metabolites play crucial roles in the progression of overweight and obesity of children. Therefore, we reviewed the roles of gut microbiota in overweight/obese children. The relationship between pediatric overweight/obesity and gut metabolites, such as short-chain fatty acids, medium-chain fatty acids, amino acids, amines, and bile acids, are also summarized. Targeting gut microbiota and metabolites might be a promising strategy for interventions aimed at reducing pediatric overweight/obesity.
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Affiliation(s)
- Shengan Zhang
- Institute of Digestive Diseases, Longhua Hospital, China-Canada Center of Research for Digestive Diseases (ccCRDD), Shanghai University of Traditional Chinese Medicine, Shanghai, China
- School of Basic Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yanqi Dang
- Institute of Digestive Diseases, Longhua Hospital, China-Canada Center of Research for Digestive Diseases (ccCRDD), Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Yanqi Dang, ,
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16
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Handakas E, Lau CH, Alfano R, Chatzi VL, Plusquin M, Vineis P, Robinson O. A systematic review of metabolomic studies of childhood obesity: State of the evidence for metabolic determinants and consequences. Obes Rev 2022; 23 Suppl 1:e13384. [PMID: 34797026 DOI: 10.1111/obr.13384] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 10/11/2021] [Indexed: 12/19/2022]
Abstract
Childhood obesity has become a global epidemic and carries significant long-term consequences to physical and mental health. Metabolomics, the global profiling of small molecules or metabolites, may reveal the mechanisms of development of childhood obesity and clarify links between obesity and metabolic disease. A systematic review of metabolomic studies of childhood obesity was conducted, following Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, searching across Scopus, Ovid, Web of Science and PubMed databases for articles published from January 1, 2005 to July 8, 2020, retrieving 1271 different records and retaining 41 articles for qualitative synthesis. Study quality was assessed using a modified Newcastle-Ottawa Scale. Thirty-three studies were conducted on blood, six on urine, three on umbilical cord blood, and one on saliva. Thirty studies were primarily cross-sectional, five studies were primarily longitudinal, and seven studies examined effects of weight-loss following a life-style intervention. A consistent metabolic profile of childhood obesity was observed including amino acids (particularly branched chain and aromatic), carnitines, lipids, and steroids. Although the use of metabolomics in childhood obesity research is still developing, the identified metabolites have provided additional insight into the pathogenesis of many obesity-related diseases. Further longitudinal research is needed into the role of metabolic profiles and child obesity risk.
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Affiliation(s)
- Evangelos Handakas
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Chung Ho Lau
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Rossella Alfano
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Vaia Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Michelle Plusquin
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.,Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Paolo Vineis
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Azab SM, de Souza RJ, Lamri A, Shanmuganathan M, Kroezen Z, Schulze KM, Desai D, Williams NC, Morrison KM, Atkinson SA, Teo KK, Britz-McKibbin P, Anand SS. Metabolite profiles and the risk of metabolic syndrome in early childhood: a case-control study. BMC Med 2021; 19:292. [PMID: 34823524 PMCID: PMC8616718 DOI: 10.1186/s12916-021-02162-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 10/18/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Defining the metabolic syndrome (MetS) in children remains challenging. Furthermore, a dichotomous MetS diagnosis can limit the power to study associations. We sought to characterize the serum metabolite signature of the MetS in early childhood using high-throughput metabolomic technologies that allow comprehensive profiling of metabolic status from a biospecimen. METHODS In the Family Atherosclerosis Monitoring In earLY life (FAMILY) prospective birth cohort study, we selected 228 cases of MetS and 228 matched controls among children age 5 years. In addition, a continuous MetS risk score was calculated for all 456 participants. Comprehensive metabolite profiling was performed on fasting serum samples using multisegment injection-capillary electrophoresis-mass spectrometry. Multivariable regression models were applied to test metabolite associations with MetS adjusting for covariates of screen time, diet quality, physical activity, night sleep, socioeconomic status, age, and sex. RESULTS Compared to controls, thirteen serum metabolites were identified in MetS cases when using multivariable regression models, and using the quantitative MetS score, an additional eight metabolites were identified. These included metabolites associated with gluconeogenesis (glucose (odds ratio (OR) 1.55 [95% CI 1.25-1.93]) and glutamine/glutamate ratio (OR 0.82 [95% CI 0.67-1.00])) and the alanine-glucose cycle (alanine (OR 1.41 [95% CI 1.16-1.73])), amino acids metabolism (tyrosine (OR 1.33 [95% CI 1.10-1.63]), threonine (OR 1.24 [95% CI 1.02-1.51]), monomethylarginine (OR 1.33 [95% CI 1.09-1.64]) and lysine (OR 1.23 [95% CI 1.01-1.50])), tryptophan metabolism (tryptophan (OR 0.78 [95% CI 0.64-0.95])), and fatty acids metabolism (carnitine (OR 1.24 [95% CI 1.02-1.51])). The quantitative MetS risk score was more powerful than the dichotomous outcome in consistently detecting this metabolite signature. CONCLUSIONS A distinct metabolite signature of pediatric MetS is detectable in children as young as 5 years old and may improve risk assessment at early stages of development.
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Affiliation(s)
- Sandi M Azab
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | - Amel Lamri
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | - Meera Shanmuganathan
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Zachary Kroezen
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | | | - Dipika Desai
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | | | - Katherine M Morrison
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
- Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | | | - Koon K Teo
- Department of Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
| | - Philip Britz-McKibbin
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, ON, Canada.
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada.
- Population Health Research Institute, Hamilton, ON, Canada.
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18
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Liu J, Zhu L, Liao J, Liu X. Effects of Extreme Weight Loss on Cardiometabolic Health in Children With Metabolic Syndrome: A Metabolomic Study. Front Physiol 2021; 12:731762. [PMID: 34630148 PMCID: PMC8498573 DOI: 10.3389/fphys.2021.731762] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/24/2021] [Indexed: 12/12/2022] Open
Abstract
Objectives: To evaluate the effect of extreme weight loss programs on circulating metabolites and their relationship with cardiometabolic health in children with metabolic syndrome. Methods: This study was a quasi-experimental design with a pretest and post-test. Thirty children with metabolic syndrome and aged 10–17years were recruited to an extreme weight loss program (i.e., exercise combined with diet control). The primary outcomes included plasma metabolites, body composition, and cardiometabolic risk factors. A total of 324 metabolites were quantitatively detected by an ultra-performance liquid chromatography coupled to tandem mass spectrometry system, and the variable importance in the projection (VIP) value of each metabolite was calculated by the orthogonal projection to latent structures discriminant analysis. The fold change (FC) and p value of each metabolite were used to screen differential metabolites with the following values: VIP>1, p value<0.05, and |log2FC|>0.25. Pathway enrichment and correlation analyses between metabolites and cardiometabolic risk factors were also performed. Result: A large effect size was observed, presenting a weight loss of −8.9kg (Cohen’s d=1.00, p<0.001), body mass index reduction of −3.3kg/m2 (Cohen’s d=1.47, p<0.001), and body fat percent reduction of −4.1 (%) (Cohen’s d=1.22, p<0.001) after the intervention. Similar improvements were found in total cholesterol (Cohen’s d=2.65, p<0.001), triglycerides (Cohen’s d=2.59, p<0.001), low-density lipoprotein cholesterol (Cohen’s d=2.81, p<0.001), glucose metabolism, and blood pressure. A total of 59 metabolites were changed after the intervention (e.g., aminoacyl-tRNA biosynthesis, glycine, serine, and threonine metabolism; nitrogen metabolism, tricarboxylic acid cycle, and phenylalanine, tyrosine, and tryptophan biosynthesis). The changes in metabolites (e.g., amino acids, fatty acids, organic acids, and carnitine) were related to lipid metabolism improvement (p<0.05). Organic acids and carnitines were associated with changes in the body composition (p<0.05). Conclusion: Exercise combined with dietary control improved the body composition and cardiometabolic health in children with metabolic syndrome, and these changes may be related to plasma metabolites.
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Affiliation(s)
- Jingxin Liu
- School of Sport and Health, Guangzhou Sport University, Guangzhou, China
| | - Lin Zhu
- School of Sport and Health, Guangzhou Sport University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Physical Activity and Health Promotion, Guangzhou Sport University, Guangzhou, China
| | - Jing Liao
- School of Sport and Health, Guangzhou Sport University, Guangzhou, China
| | - Xiaoguang Liu
- School of Sport and Health, Guangzhou Sport University, Guangzhou, China
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19
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Lépine G, Fouillet H, Rémond D, Huneau JF, Mariotti F, Polakof S. A Scoping Review: Metabolomics Signatures Associated with Animal and Plant Protein Intake and Their Potential Relation with Cardiometabolic Risk. Adv Nutr 2021; 12:2112-2131. [PMID: 34229350 PMCID: PMC8634484 DOI: 10.1093/advances/nmab073] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/22/2021] [Accepted: 05/12/2021] [Indexed: 12/11/2022] Open
Abstract
The dietary shift from animal protein (AP) to plant protein (PP) sources is encouraged for both environmental and health reasons. For instance, PPs are associated with lower cardiovascular and diabetes risks compared with APs, although the underlying mechanisms mostly remain unknown. Metabolomics is a valuable tool for globally and mechanistically characterizing the impact of AP and PP intake, given its unique ability to provide integrated signatures and specific biomarkers of metabolic effects through a comprehensive snapshot of metabolic status. This scoping review is aimed at gathering and analyzing the available metabolomics data associated with PP- and AP-rich diets, and discusses the metabolic effects underlying these metabolomics signatures and their potential implication for cardiometabolic health. We selected 24 human studies comparing the urine, plasma, or serum metabolomes associated with diets with contrasted AP and PP intakes. Among the 439 metabolites reported in those studies as able to discriminate AP- and PP-rich diets, 46 were considered to provide a robust level of evidence, according to a scoring system, especially amino acids (AAs) and AA-related products. Branched-chain amino acids, aromatic amino acids (AAAs), glutamate, short-chain acylcarnitines, and trimethylamine-N-oxide, which are known to be related to an increased cardiometabolic risk, were associated with AP-rich diets, whereas glycine (rather related to a reduced risk) was associated with PP-rich diets. Tricarboxylic acid (TCA) cycle intermediates and products from gut microbiota AAA degradation were also often reported, but the direction of their associations differed across studies. Overall, AP- and PP-rich diets result in different metabolomics signatures, with several metabolites being plausible candidates to explain some of their differential associations with cardiometabolic risk. Additional studies specifically focusing on protein type, with rigorous intake control, are needed to better characterize the associated metabolic phenotypes and understand how they could mediate differential AP and PP effects on cardiometabolic risk.
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Affiliation(s)
- Gaïa Lépine
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, Clermont-Ferrand, France,Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
| | - Hélène Fouillet
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
| | - Didier Rémond
- Université Clermont Auvergne, INRAE, UMR 1019, Unité Nutrition Humaine, Clermont-Ferrand, France
| | | | - François Mariotti
- Université Paris-Saclay, AgroParisTech, INRAE, UMR PNCA, Paris, France
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20
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Discovery of lipid profiles of type 2 diabetes associated with hyperlipidemia using untargeted UPLC Q-TOF/MS-based lipidomics approach. Clin Chim Acta 2021; 520:53-62. [PMID: 34077755 DOI: 10.1016/j.cca.2021.05.031] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 02/08/2023]
Abstract
The incidence of type 2 diabetes (T2D) is rising rapidly and has become an important public health problem. According to reports, people with T2D often have hyperlipidemia. Hence, in the current study, a plasma non-targeted lipidomics method was used to study the differences in lipid profile between 36 T2D-associated hyperlipidemia patients and 43 healthy controls by ultra-performance liquid chromatography coupled with quadrupole time-of-flight high-definition mass spectrometry (UPLC Q-TOF/MS). Furthermore, we studied the differences in lipid profile between 36 T2D-associated hyperlipidemia patients and 41 T2D patients. Principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), S-plot and heatmap were used to analyze the lipid changes between the groups. Compared with the healthy control group, 37 lipids were significantly altered in the T2D-associated hyperlipidemia group, and when compared with the T2D group, 22 lipids were significantly altered in the T2D-associated hyperlipidemia group. Of all the detected lipids categories which included sphingolipids, glycerolipids, glycerophospholipids, prenol lipids and saccharolipids, glycerophospholipids accounted for the largest proportion in the two groups. Also, this study found that glycerophospholipid metabolism pathway was the most relevant pathway for these lipid metabolisms. The identified lipids may enhance the disease prediction and provide a new tool to monitor the progression of T2D-associated hyperlipidemia.
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21
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Matsumoto S, Nakamura T, Nagamatsu F, Kido J, Sakamoto R, Nakamura K. Metabolic and biological changes in children with obesity and diabetes. World J Meta-Anal 2021; 9:153-163. [DOI: 10.13105/wjma.v9.i2.153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/23/2021] [Accepted: 04/23/2021] [Indexed: 02/06/2023] Open
Abstract
The World Health Organization has stated that obesity in childhood is one of the most serious public health challenges of the 21st century. Overweightness and obesity in early childhood lead to a higher risk of overweightness and obesity in adulthood, thus conferring an increased risk of chronic inflammatory conditions, including type 2 diabetes mellitus, cardiovascular diseases, non-alcoholic fatty liver disease, and some cancers. Therefore, metabolome analysis, targeted at screening and intervening in childhood obesity, is very important. Recent studies have indicated that amino acid and lipid metabolism could influence metabolic pathways in children with obesity. For this review, we searched clinical data addressing metabolomic profiles and insulin resistance (IR) in children with obesity from inception to February 2021 in Medline, Web of Science, and Scopus. According to our search, branched-chain amino acids (BCAAs), aromatic amino acids, and acylcarnitines have reportedly been associated with IR as biomarkers for diabetes in children. BCAAs, tyrosine, and phenylalanine could be predictors of the future development of diabetes in nondiabetic subjects. In addition, it is well known that insulin regulates BCAA metabolism, and BCAA is a biomarker for IR. To interpret the mechanism behind metabolic changes in obesity, it is very important to understand the pathways and combinations related with amino acid, lipid and glucose metabolism. In this review, we summarize studies on metabolic changes to understand metabolomics in children with obesity.
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Affiliation(s)
- Shirou Matsumoto
- Department of Pediatrics, Faculty of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Tomomi Nakamura
- Department of Perinatal Care Unit, Kumamoto University Hospital, Kumamoto University, Kumamoto 860-8556, Japan
| | - Fusa Nagamatsu
- Department of Pediatrics, Faculty of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Jun Kido
- Department of Pediatrics, Faculty of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan
| | - Rieko Sakamoto
- Department of Perinatal Care Unit, Kumamoto University Hospital, Kumamoto University, Kumamoto 860-8556, Japan
| | - Kimotoshi Nakamura
- Department of Pediatrics, Faculty of Medical Sciences, Kumamoto University, Kumamoto 860-8556, Japan
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22
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Matsumoto S, Nakamura T, Nagamatsu F, Kido J, Sakamoto R, Nakamura K. Metabolic and biological changes in children with obesity and diabetes. World J Meta-Anal 2021. [DOI: 10.13105/wjma.v9.i2.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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23
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Association of metabolites with obesity based on two gene variants, MC4R rs17782313 and BDNF rs6265. Biochim Biophys Acta Mol Basis Dis 2021; 1867:166144. [PMID: 33862146 DOI: 10.1016/j.bbadis.2021.166144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 10/21/2022]
Abstract
Previous genome-wide association analyses for obesity related genes demonstrated the association of BDNF gene variant rs6265 and MC4R gene variant rs17782313 with body mass index (BMI). However, the associated metabolite pathways are still behind the curtain. The aim of the current study is to investigate the associations of metabolic changes in obesity with MC4R gene variant rs17782313 and BDNF variant rs6265. Gas chromatography-mass spectrometry based untargeted metabolomics approach was used and 42 identified serum metabolites were selected for statistical analyses. Significant association of seven metabolites with MC4R gene variant rs17782313 based on obesity and thirty metabolites with obesity dependent BDNF variant rs6265 using additive model (adjusted p < 0.05) was observed. This study highlights the importance of alteration of fatty acid biosynthesis, probably due to high consumption of fats may cause to develop obesity. But obesity is a complex disorder and the full clarification of this complex machinery is still distant. To understand the obesity in a better way, more studies are required to identify remaining metabolites and also mechanism of these metabolic entities.
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24
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Jachthuber Trub C, Balikcioglu M, Freemark M, Bain J, Muehlbauer M, Ilkayeva O, White PJ, Armstrong S, Østbye T, Grambow S, Gumus Balikcioglu P. Impact of lifestyle Intervention on branched-chain amino acid catabolism and insulin sensitivity in adolescents with obesity. ENDOCRINOLOGY DIABETES & METABOLISM 2021; 4:e00250. [PMID: 34277974 PMCID: PMC8279626 DOI: 10.1002/edm2.250] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Revised: 02/16/2021] [Accepted: 03/13/2021] [Indexed: 12/30/2022]
Abstract
Insulin resistance in adolescents with obesity associates with a sex‐dependent metabolic ‘signature’ comprising branched‐chain amino acids (BCAAs), glutamate and C3/C5 acylcarnitines (C3/C5), implicating altered flux through BCAA catabolic pathways. Here, we investigated the effects of lifestyle intervention on BCAA catabolism and insulin sensitivity. We hypothesized (1) weight reduction and improved insulin sensitivity associate with enhanced BCAA catabolism; (2) baseline BCAAs and their metabolic by‐products predict changes in weight and insulin sensitivity during lifestyle intervention.
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Affiliation(s)
| | | | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes and the Duke Molecular Physiology Institute Duke University Medical Center Durham NC USA
| | - James Bain
- Duke Molecular Physiology Institute Duke Molecular Physiology Institute Duke University Medical Center Durham NC USA
| | - Michael Muehlbauer
- Duke Molecular Physiology Institute Duke Molecular Physiology Institute Duke University Medical Center Durham NC USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute Duke Molecular Physiology Institute Duke University Medical Center Durham NC USA
| | - Phillip J White
- Duke Molecular Physiology Institute Duke Molecular Physiology Institute Duke University Medical Center Durham NC USA
| | - Sarah Armstrong
- Division of General Pediatrics Duke University Medical Center Durham NC USA.,Department of Family Medicine and Community Health Duke University Medical Center Durham NC USA.,Department of Population Health Sciences Duke University Medical Center Durham NC USA.,Duke Clinical Research Institute Duke University Medical Center Durham NC USA
| | - Truls Østbye
- Department of Family Medicine and Community Health Duke University Medical Center Durham NC USA
| | - Steven Grambow
- Department of Biostatistics and Bioinformatics Duke University Medical Center Durham NC USA
| | - Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and Diabetes and the Duke Molecular Physiology Institute Duke University Medical Center Durham NC USA
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25
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Long J, Yang Z, Wang L, Han Y, Peng C, Yan C, Yan D. Metabolite biomarkers of type 2 diabetes mellitus and pre-diabetes: a systematic review and meta-analysis. BMC Endocr Disord 2020; 20:174. [PMID: 33228610 PMCID: PMC7685632 DOI: 10.1186/s12902-020-00653-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Accepted: 11/16/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND We aimed to explore metabolite biomarkers that could be used to identify pre-diabetes and type 2 diabetes mellitus (T2DM) using systematic review and meta-analysis. METHODS Four databases, the Cochrane Library, EMBASE, PubMed and Scopus were selected. A random effect model and a fixed effect model were applied to the results of forest plot analyses to determine the standardized mean difference (SMD) and 95% confidence interval (95% CI) for each metabolite. The SMD for every metabolite was then converted into an odds ratio to create an metabolite biomarker profile. RESULTS Twenty-four independent studies reported data from 14,131 healthy individuals and 3499 patients with T2DM, and 14 included studies reported 4844 healthy controls and a total of 2139 pre-diabetes patients. In the serum and plasma of patients with T2DM, compared with the healthy participants, the concentrations of valine, leucine, isoleucine, proline, tyrosine, lysine and glutamate were higher and that of glycine was lower. The concentrations of isoleucine, alanine, proline, glutamate, palmitic acid, 2-aminoadipic acid and lysine were higher and those of glycine, serine, and citrulline were lower in prediabetic patients. Metabolite biomarkers of T2DM and pre-diabetes revealed that the levels of alanine, glutamate and palmitic acid (C16:0) were significantly different in T2DM and pre-diabetes. CONCLUSIONS Quantified multiple metabolite biomarkers may reflect the different status of pre-diabetes and T2DM, and could provide an important reference for clinical diagnosis and treatment of pre-diabetes and T2DM.
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Affiliation(s)
- Jianglan Long
- Beijing Key Laboratory and Joint Laboratory for International Cooperation of Bio-characteristic Profiling for Evaluation of Rational Drug Use, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China
- Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China
| | - Zhirui Yang
- Beijing Key Laboratory and Joint Laboratory for International Cooperation of Bio-characteristic Profiling for Evaluation of Rational Drug Use, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China
| | - Long Wang
- Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Yumei Han
- Beijing Physical Examination Center, Beijing, 100077, China
| | - Cheng Peng
- Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China
| | - Can Yan
- Guangzhou University of Chinese Medicine, Guangzhou, 510006, China.
| | - Dan Yan
- Beijing Key Laboratory and Joint Laboratory for International Cooperation of Bio-characteristic Profiling for Evaluation of Rational Drug Use, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
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26
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White PJ, Lapworth AL, McGarrah RW, Kwee LC, Crown SB, Ilkayeva O, An J, Carson MW, Christopher BA, Ball JR, Davies MN, Kjalarsdottir L, George T, Muehlbauer MJ, Bain JR, Stevens RD, Koves TR, Muoio DM, Brozinick JT, Gimeno RE, Brosnan MJ, Rolph TP, Kraus WE, Shah SH, Newgard CB. Muscle-Liver Trafficking of BCAA-Derived Nitrogen Underlies Obesity-Related Glycine Depletion. Cell Rep 2020; 33:108375. [PMID: 33176135 PMCID: PMC8493998 DOI: 10.1016/j.celrep.2020.108375] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Revised: 09/23/2020] [Accepted: 10/20/2020] [Indexed: 01/08/2023] Open
Abstract
Glycine levels are inversely associated with branched-chain amino acids (BCAAs) and cardiometabolic disease phenotypes, but biochemical mechanisms that explain these relationships remain uncharted. Metabolites and genes related to BCAA metabolism and nitrogen handling were strongly associated with glycine in correlation analyses. Stable isotope labeling in Zucker fatty rats (ZFRs) shows that glycine acts as a carbon donor for the pyruvate-alanine cycle in a BCAA-regulated manner. Inhibition of the BCAA transaminase (BCAT) enzymes depletes plasma pools of alanine and raises glycine levels. In high-fat-fed ZFRs, dietary glycine supplementation raises urinary acyl-glycine content and lowers circulating triglycerides but also results in accumulation of long-chain acyl-coenzyme As (acyl-CoAs), lower 5' adenosine monophosphate-activated protein kinase (AMPK) phosphorylation in muscle, and no improvement in glucose tolerance. Collectively, these studies frame a mechanism for explaining obesity-related glycine depletion and also provide insight into the impact of glycine supplementation on systemic glucose, lipid, and amino acid metabolism.
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Affiliation(s)
- Phillip J White
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Departments of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA; Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | | | - Robert W McGarrah
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Lydia Coulter Kwee
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Scott B Crown
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Olga Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Jie An
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Matthew W Carson
- Diabetes Therapeutic Area, Lilly Research Laboratories, a Division of Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA
| | - Bridgette A Christopher
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - James R Ball
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Michael N Davies
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Lilja Kjalarsdottir
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Tabitha George
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Robert D Stevens
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Timothy R Koves
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Geriatrics, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Deborah M Muoio
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Departments of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA; Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Joseph T Brozinick
- Diabetes Therapeutic Area, Lilly Research Laboratories, a Division of Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA
| | - Ruth E Gimeno
- Diabetes Therapeutic Area, Lilly Research Laboratories, a Division of Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA
| | - M Julia Brosnan
- CV and Metabolic Diseases Research Unit, Pfizer, Cambridge, MA, USA
| | - Timothy P Rolph
- CV and Metabolic Diseases Research Unit, Pfizer, Cambridge, MA, USA
| | - William E Kraus
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Svati H Shah
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA; Departments of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA; Division of Endocrinology, Department of Medicine, Duke University Medical Center, Durham, NC, USA.
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Insulin Resistance in Obese Children: What Can Metabolomics and Adipokine Modelling Contribute? Nutrients 2020; 12:nu12113310. [PMID: 33137934 PMCID: PMC7692749 DOI: 10.3390/nu12113310] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/23/2020] [Accepted: 10/27/2020] [Indexed: 02/07/2023] Open
Abstract
The evolution of obesity and its resulting comorbidities differs depending upon the age of the subject. The dramatic rise in childhood obesity has resulted in specific needs in defining obesity-associated entities with this disease. Indeed, even the definition of obesity differs for pediatric patients from that employed in adults. Regardless of age, one of the earliest metabolic complications observed in obesity involves perturbations in glucose metabolism that can eventually lead to type 2 diabetes. In children, the incidence of type 2 diabetes is infrequent compared to that observed in adults, even with the same degree of obesity. In contrast, insulin resistance is reported to be frequently observed in children and adolescents with obesity. As this condition can be prerequisite to further metabolic complications, identification of biological markers as predictive risk factors would be of tremendous clinical utility. Analysis of obesity-induced modifications of the adipokine profile has been one classic approach in the identification of biomarkers. Recent studies emphasize the utility of metabolomics in the analysis of metabolic characteristics in children with obesity with or without insulin resistance. These studies have been performed with targeted or untargeted approaches, employing different methodologies. This review summarizes some of the advances in this field while emphasizing the importance of the different techniques employed.
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Lowry DE, Feng Z, Jeejeebhoy K, Dhaliwal R, Brauer P, Royall D, Tremblay A, Klein D, Mutch DM. Prediction modelling of 1-year outcomes to a personalized lifestyle intervention for Canadians with metabolic syndrome. Appl Physiol Nutr Metab 2020; 45:621-627. [PMID: 31738589 DOI: 10.1139/apnm-2019-0375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Metabolic syndrome (MetS) comprises a cluster of risk factors that includes central obesity, hypertension, dyslipidemia, and impaired glucose homeostasis. Although lifestyle interventions reduce MetS risk, not everyone responds to the same extent. The primary objective of this study was to identify variables that could predict 1-year changes in MetS risk in individuals participating in the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) program. Participants were allocated into training (n = 157) and test (n = 29) datasets by availability of genetic data. A linear mixed-effect model revealed that age, medication, fasting glucose, triglycerides, high-density lipoprotein cholesterol, waist circumference, systolic blood pressure, and fibre intake were associated with continuous MetS (cMetS) score across all time points. Multiple linear regressions were then used to build 2 prediction models using 1-year cMetS score as the outcome variable. Model 1 included only baseline variables and was 38% accurate for predicting cMetS score. Model 2 included both baseline variables and the 3-month change in cMetS score and was 86% accurate. As a secondary objective, we also examined if we could build a model to predict a person's categorical response bin (i.e., positive responder, nonresponder, or adverse responder) at 1 year using the same variables. We found 72% concordance between predicted and observed outcomes. These various prediction models need to be further tested in independent cohorts but provide a potentially promising new tool to project patient outcomes during lifestyle interventions for MetS. Novelty Short-term changes in cMetS score improve prediction model performance compared with only baseline variables. Predictive models could potentially facilitate clinical decision-making for personalized treatment plans.
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Affiliation(s)
- Dana E Lowry
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Zeny Feng
- Department of Mathematics and Statistics, University of Guelph, Guelph, ON N1G 2W1, Canada
| | | | | | - Paula Brauer
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Dawna Royall
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Angelo Tremblay
- Department of Kinesiology, Faculty of Medicine, Université Laval, Québec City, QC G1V 0A6, Canada
| | - Doug Klein
- Department of Family Medicine, University of Alberta, Edmonton, AB T6G 2R7, Canada
| | - David M Mutch
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
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Longitudinal relationship of amino acids and indole metabolites with long-term body mass index and cardiometabolic risk markers in young individuals. Sci Rep 2020; 10:6399. [PMID: 32286421 PMCID: PMC7156759 DOI: 10.1038/s41598-020-63313-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 03/24/2020] [Indexed: 02/06/2023] Open
Abstract
Amino acid metabolites in biofluids are associated with high body mass index (BMI) and cardiometabolic abnormalities. However, prospective investigations regarding these associations are few, particularly among young individuals. Moreover, little is presently known about the impact of long-term high BMI. Using data from the DOrtmund Nutritional and Anthropometric Longitudinally Designed study (111 males and 107 females), we prospectively investigated relations between repeatedly measured urinary levels of 33 metabolites and (1) previously identified long-term BMI trajectory groups from childhood into late adolescence and (2) cardiometabolic risk markers in late adolescence–young adulthood, in sex-specific linear mixed regression models. Males with long-term overweight had lower indole-3-acetic acid when compared to others. Further, methionine, isoleucine, tryptophan, xanthurenic acid, and indole-3-carboxaldehyde were negatively associated with C-reactive protein (CRP), but 5-hydroxyindole-3-acetic acid was positively associated with CRP. No associations were observed in females. Long-term overweight from childhood into late adolescence is associated with decreased urinary levels of gut bacteria-derived indole-3-acetic acid, and several urinary amino acids, including gut bacteria-derived indole-3-carboxaldehyde are associated with elevated CRP later on in life. Taken together, our data suggest that indole metabolites, and their gut bacteria producers play potentially important roles in overweight-related inflammation.
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Hosking J, Pinkney J, Jeffery A, Cominetti O, Da Silva L, Collino S, Kussmann M, Hager J, Martin FP. Insulin Resistance during normal child growth and development is associated with a distinct blood metabolic phenotype (Earlybird 72). Pediatr Diabetes 2019; 20:832-841. [PMID: 31254470 DOI: 10.1111/pedi.12884] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 05/22/2019] [Accepted: 06/19/2019] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND While insulin resistance (IR) is associated with specific metabolite signatures in adults, there have been few truly longitudinal studies in healthy children, either to confirm which abnormalities are present, or to determine whether they precede or result from IR. Therefore, we investigated the association of serum metabolites with IR in childhood in the Earlybird cohort. METHODS The Earlybird cohort is a well-characterized cohort of healthy children with annual measurements from age 5 to 16 years. For the first time, longitudinal association analyses between individual serum metabolites and homeostatic model assessment (HOMA) of insulin resistance (HOMA-IR) have been performed taking into account the effects of age, growth, puberty, adiposity, and physical activity. RESULTS IR was higher in girls than in boys and was associated with increasing body mass index (BMI). In longitudinal analysis IR was associated with reduced concentrations of branched-chain amino acids (BCAA), 2-ketobutyrate, citrate and 3-hydroxybutyrate, and higher concentrations of lactate and alanine. These findings demonstrate the widespread biochemical consequences of IR for intermediary metabolism, ketogenesis, and pyruvate oxidation during normal child growth and development. CONCLUSIONS Longitudinal analysis can differentiate metabolite signatures that precede or follow the development of greater levels of IR. In healthy normal weight children, higher levels of IR are associated with reduced levels of BCAA, ketogenesis, and fuel oxidation. In contrast, elevated lactate concentrations preceded the rise in IR. These changes reveal the metabolite signature of insulin action during normal growth, and they contrast with previous findings in obese children and adults that represent the consequences of IR and obesity.
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Affiliation(s)
- Joanne Hosking
- Faculty of Medicine and Dentistry, Plymouth University, Plymouth, UK
| | - Jonathan Pinkney
- Faculty of Medicine and Dentistry, Plymouth University, Plymouth, UK
| | - Alison Jeffery
- Faculty of Medicine and Dentistry, Plymouth University, Plymouth, UK
| | - Ornella Cominetti
- Department of Analytical Sciences, Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Laeticia Da Silva
- Department of Analytical Sciences, Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Sebastiano Collino
- Department of Analytical Sciences, Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Martin Kussmann
- Department of Analytical Sciences, Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Jorg Hager
- Department of Nutrition and Dietary recommendations, Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
| | - Francois-Pierre Martin
- Department of Metabolic Health, Société des Produits Nestlé SA, Nestlé Research, Lausanne, Switzerland
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Gong LL, Yang S, Zhang W, Han FF, Lv YL, Xuan LL, Liu H, Liu LH. Discovery of metabolite profiles of metabolic syndrome using untargeted and targeted LC-MS based lipidomics approach. J Pharm Biomed Anal 2019; 177:112848. [PMID: 31479998 DOI: 10.1016/j.jpba.2019.112848] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 08/07/2019] [Accepted: 08/28/2019] [Indexed: 12/30/2022]
Abstract
Metabolic syndrome (MetS) is an important risk factor for type 2 diabetes, cardiovascular diseases and all-cause morbidity and mortality. Biomarkers can provide insight into the mechanism, facilitate early detection, and monitor progression of MetS and its response to therapeutic interventions. To identify potential biomarkers, we applied a non-targeted and targeted lipidomics method to characterize plasma metabolic profile in MetS patients. Metabolic profiling was performed on a non-target set (40 cases and 40 controls) on UHPLC-Q-TOF/MS and target set (80 MetS patients and 80 healthy controls) on UHPLC-Q-orbitrap MS. Using comprehensive screening and validation workflow, we identified a panel of three metabolites including PC(18:1/P-16:0), PC(o-22:3/22:3), PC(P-18:1/16:1). Our results indicated that the identified biomarkers may improve the risk prediction and provide a novel tool for monitoring of the progression of disease and response to treatment in MetS patients.
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Affiliation(s)
- Li-Li Gong
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
| | - Song Yang
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Wen Zhang
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Fei-Fei Han
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Ya-Li Lv
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Ling-Ling Xuan
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - He Liu
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Li-Hong Liu
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
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NMR-Based Metabolomic Approach Tracks Potential Serum Biomarkers of Disease Progression in Patients with Type 2 Diabetes Mellitus. J Clin Med 2019; 8:jcm8050720. [PMID: 31117294 PMCID: PMC6571571 DOI: 10.3390/jcm8050720] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 05/10/2019] [Accepted: 05/15/2019] [Indexed: 12/15/2022] Open
Abstract
Type 2 diabetes mellitus (T2DM) is a metabolic disorder characterized by chronic hyperglycemia associated with alterations in carbohydrate, lipid, and protein metabolism. The prognosis of T2DM patients is highly dependent on the development of complications, and therefore the identification of biomarkers of T2DM progression, with minimally invasive techniques, is a huge need. In the present study, we applied a 1H-Nuclear Magnetic Resonance (1H-NMR)-based metabolomic approach coupled with multivariate data analysis to identify serum metabolite profiles associated with T2DM development and progression. To perform this, we compared the serum metabolome of non-diabetic subjects, treatment-naïve non-complicated T2DM patients, and T2DM patients with complications in insulin monotherapy. Our analysis revealed a significant reduction of alanine, glutamine, glutamate, leucine, lysine, methionine, tyrosine, and phenylalanine in T2DM patients with respect to non-diabetic subjects. Moreover, isoleucine, leucine, lysine, tyrosine, and valine levels distinguished complicated patients from patients without complications. Overall, the metabolic pathway analysis suggested that branched-chain amino acid (BCAA) metabolism is significantly compromised in T2DM patients with complications, while perturbation in the metabolism of gluconeogenic amino acids other than BCAAs characterizes both early and advanced T2DM stages. In conclusion, we identified a metabolic serum signature associated with T2DM stages. These data could be integrated with clinical characteristics to build a composite T2DM/complications risk score to be validated in a prospective cohort.
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Perng W, Tang L, Song PXK, Tellez-Rojo MM, Cantoral A, Peterson KE. Metabolomic profiles and development of metabolic risk during the pubertal transition: a prospective study in the ELEMENT Project. Pediatr Res 2019; 85:262-268. [PMID: 30297880 PMCID: PMC6377825 DOI: 10.1038/s41390-018-0195-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 08/22/2018] [Accepted: 09/10/2018] [Indexed: 11/08/2022]
Abstract
OBJECTIVES (1) Examine associations of a branched-chain amino acid (BCAA) metabolite pattern with metabolic risk across adolescence; (2) use Least Absolute Shrinkage and Selection Operator (LASSO) to identify novel metabolites of metabolic risk. METHODS We used linear regression to examine associations of a BCAA score with change (∆) in metabolic biomarkers over 5-year follow-up in 179 adolescents 8-14 years at baseline. Next, we applied LASSO, a regularized regression technique well suited for reduction of high-dimensional data, to identify metabolite predictors of ∆biomarkers. RESULTS In boys, the BCAA score corresponded with decreasing C-peptide, C-peptide-based insulin resistance (CP-IR), total cholesterol (TC), and low-density-lipoprotein cholesterol (LDL). In pubertal girls, the BCAA pattern corresponded with increasing C-peptide and leptin. LASSO identified asparagine as a predictor of decreasing C-peptide (β = -0.33) and CP-IR (β = -0.012), and acetyl-carnitine (β = 2.098), 4-hydroxyproline (β = -0.050), ornithine (β = -0.353), and α-aminoisobutyric acid (β = -0.793) as determinants of TC in boys. In girls, histidine was a negative determinant of TC (β = -0.033). CONCLUSIONS The BCAA pattern was associated with ∆glycemia and ∆lipids in a sex-specific manner. LASSO identified asparagine, which influences growth hormone secretion, as a determinant of decreasing C-peptide and CP-IR in boys, and metabolites on lipid metabolism pathways as determinants of decreasing cholesterol in both sexes.
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Affiliation(s)
- Wei Perng
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
| | - Lu Tang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Martha Maria Tellez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Mexico City, Mexico
| | - Alejandra Cantoral
- CONACYT, National Institute of Public Health, Center for Research on Nutrition and Health, Mexico City, Mexico
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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Vasquez F, Corvalan C, Uauy R, Kain J. Impact of gaining or maintaining excessive weight in infancy on markers of metabolic homeostasis in young children: A longitudinal study in Chilean children. Prev Med Rep 2018; 12:298-303. [PMID: 30406008 PMCID: PMC6214876 DOI: 10.1016/j.pmedr.2018.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 10/04/2018] [Accepted: 10/14/2018] [Indexed: 11/16/2022] Open
Abstract
Childhood obesity in Chile is one of the highest in the world. The objective of this study was to assess the impact of excessive weight gained or maintained over a 3-year period, on markers of metabolic homeostasis in young children. This is a longitudinal study which includes 243 children followed from 4 to 7 years. We assessed BMI, body fat percentage, waist circumference (WC), waist-hip ratio (WHR), waist-height (WH) and trunk fat as well as the following metabolic parameters: glucose, insulin, triglycerides, total cholesterol, LDL, HDL and metabolic risk score. Kruskal- Wallis was used to assess differences in metabolic markers by nutritional status and logistic regression to determine the effect of maintaining or gaining excess weight over the 3-year period, compared with children who maintained a normal weight. Children who were obese at both ages compared with those who were normal weight, had a significantly higher WC, serum concentrations of total fat, total cholesterol, triglycerides, LDL cholesterol and metabolic risk score (P < 0.05). Children who were overweight or obese at 4 and 7 years, had a greater risk of having a high WC (OR: 3.37; P = 0.03), total cholesterol (OR: 4.17; P < 0.003), triglycerides (OR: 1.96; P = 0.04); thus a higher metabolic risk score (OR: 3.21; P = 0.003). Excess weight maintained over time in early childhood, significantly increases the risk of having higher serum biomarkers of cardiovascular risk, which in turn determines the magnitude of cardiovascular and metabolic risks later in life. A Chilean cohort study followed from 4 to 7 years showed that the prevalence of overweight/obese increased from 32 to 35%. 23% of children remained overweight/obese at both ages. 13% of children changed from normal to overweight. Excess weight maintained over time increases disruption of metabolic homeostasis. Cardiovascular parameters may determine the magnitude of cardiovascular risks.
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Affiliation(s)
- Fabian Vasquez
- Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Camila Corvalan
- Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Ricardo Uauy
- Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
| | - Juliana Kain
- Institute of Nutrition and Food Technology (INTA), University of Chile, Santiago, Chile
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Zhang ZY, Monleon D, Verhamme P, Staessen JA. Branched-Chain Amino Acids as Critical Switches in Health and Disease. Hypertension 2018; 72:1012-1022. [DOI: 10.1161/hypertensionaha.118.10919] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Zhen-Yu Zhang
- From the KU Leuven Department of Cardiovascular Sciences, Research Unit Hypertension and Cardiovascular Epidemiology (Z.-Y.Z., J.A.S.), University of Leuven, Belgium
- Department of Cardiovascular Disease, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, China (Z.-Y.Z.)
| | - Daniel Monleon
- Metabolomic and Molecular Image Laboratory, Fundación Investigatión Clínico de Valencia, Spain (D.M.)
| | - Peter Verhamme
- KU Leuven Department of Cardiovascular Sciences, Center for Molecular and Vascular Biology (P.V.), University of Leuven, Belgium
| | - Jan A. Staessen
- From the KU Leuven Department of Cardiovascular Sciences, Research Unit Hypertension and Cardiovascular Epidemiology (Z.-Y.Z., J.A.S.), University of Leuven, Belgium
- Cardiovascular Research Institute, Maastricht University, the Netherlands (J.A.S.)
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Perng W, Rifas-Shiman SL, Hivert MF, Chavarro JE, Oken E. Branched Chain Amino Acids, Androgen Hormones, and Metabolic Risk Across Early Adolescence: A Prospective Study in Project Viva. Obesity (Silver Spring) 2018; 26:916-926. [PMID: 29575812 PMCID: PMC5916029 DOI: 10.1002/oby.22164] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 01/30/2018] [Accepted: 02/14/2018] [Indexed: 12/15/2022]
Abstract
OBJECTIVE This study aimed to examine the associations of two obesity-related metabolite patterns with changes in metabolic biomarkers during early adolescence. METHODS Multivariable linear regression was used to examine associations of branched chain amino acid (BCAA) and androgen hormone patterns with changes in glycemia (fasting glucose, insulin, homeostatic model assessment of insulin resistance), adipokines (leptin, adiponectin), inflammation (C-reactive protein, interleukin-6), lipid profile, and blood pressure during ∼5 years of follow-up among 213 children aged 6 to 10 years at baseline. Covariates included baseline age, pubertal status, biomarker level, and BMI percentile, and age at follow-up. Interactions with sex and baseline BMI percentile were also considered. RESULTS The median age at baseline was 7.7 years; 48.8% were boys. In adjusted models, each 1 unit of the BCAA pattern corresponded with a 4.82 (95% CI: 0.92 to 8.71) mg/dL decrease in fasting glucose in boys. In girls, the BCAA pattern was associated with an increase in triglycerides (4.17 [0.03 to 8.32] mg/dL). The androgen pattern was associated with decreased leptin (-2.35 [-4.34 to -0.35] ng/dL) and increased C-reactive protein (0.28 [0.03 to 0.54] mg/dL) in girls. These relationships did not differ by baseline BMI percentile. CONCLUSIONS The BCAA and androgen hormone metabolite patterns are related to changes in metabolic parameters in a sex-specific manner during early adolescence.
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Affiliation(s)
- Wei Perng
- Department of Nutritional Sciences, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jorge E. Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Okekunle AP, Li Y, Liu L, Du S, Wu X, Chen Y, Li Y, Qi J, Sun C, Feng R. Abnormal circulating amino acid profiles in multiple metabolic disorders. Diabetes Res Clin Pract 2017; 132:45-58. [PMID: 28783532 DOI: 10.1016/j.diabres.2017.07.023] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Revised: 06/02/2017] [Accepted: 07/13/2017] [Indexed: 01/15/2023]
Abstract
AIM To evaluate circulating amino acids (AA) profiles in obesity, type 2 diabetes (T2D) and metabolic syndrome (MetS). METHODS Serum AA were profiled among 200; healthy, obese, T2D and MetS subjects matched by sex, age and BMI using ultra-high performance liquid chromatography tandem quadruple mass spectrometry (UPLC-TQ-MS). A meta-analysis, including 47 case-control studies (including the current study) on serum AA in obesity, T2D and MetS searched through October 2016 was conducted to explore the AA differences in obesity, T2D and MetS. RESULTS In comparison with healthy controls, 14 AA (10 increased and 4 decreased) were significantly altered (P<0.05) in all non-healthy subjects. Also, mean differences of valine (obese: 34.13 [27.70, 40.56]µmol/L, P<0.001, T2D: 19.49 [3.31, 35.68]µmol/L, P<0.05, MetS: 29.18 [16.04, 42.33]µmol/L, P<0.001), glutamic acid (obese: 18.62 [11.64, 25.61]µmol/L, P<0.001, T2D: 19.94 [0.28, 39.61]µmol/L, P<0.05, MetS: 12.45 [3.98, 20.91]µmol/L, P<0.001), proline (obese: 16.72 [6.20, 27.24]µmol/L, P<0.001, T2D: 20.72 [15.82, 25.61]µmol/L, P<0.001, MetS: 29.95 [25.18, 34.71]µmol/L, P<0.001) and isoleucine (obese: 11.39 [8.54, 14.24]µmol/L, P<0.001, T2D: 7.37 [1.52, 13.22]µmol/L, P<0.05, MetS: 10.40 [4.90, 15.89]µmol/L, P<0.001) were significantly higher compared to healthy controls. Similarly, mean differences of glycine (obese: -30.99 [-39.69, -22.29]µmol/L, P<0.001, T2D: -30.37 [-41.80, -18.94]µmol/L, P<0.001 and MetS: -35.24 [-39.28, -31.21]µmol/L, P<0.001) were significantly lower compared to healthy controls. CONCLUSION In both the case-control study and meta-analysis, obesity was related to the most circulating AA changes, followed by MetS and T2D. Valine, isoleucine, glutamic acid and proline increased, while Glycine decreased in all metabolic disorders.
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Affiliation(s)
- Akinkunmi Paul Okekunle
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Ying Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Shanshan Du
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Xiaoyan Wu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Yang Chen
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Yanchuan Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Jiayue Qi
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China
| | - Changhao Sun
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China.
| | - Rennan Feng
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, 157 Baojian Road, Nangang District, Harbin, Heilongjiang Province 150081, People's Republic of China.
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Jang HB, Kim HJ, Kang JH, Park SI, Park KH, Lee HJ. Association of circulating irisin levels with metabolic and metabolite profiles of Korean adolescents. Metabolism 2017; 73:100-108. [PMID: 28732566 DOI: 10.1016/j.metabol.2017.05.007] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2016] [Revised: 05/18/2017] [Accepted: 05/24/2017] [Indexed: 02/07/2023]
Abstract
CONTEXT Irisin, a novel exercise-induced myokine, has been suggested to regulate energy metabolism. OBJECTIVE We studied the relationship between circulating irisin and metabolic and metabolite profiles of Korean adolescents, and investigated the effects of physical activity, obesity, and metabolic syndrome (MetS) on irisin levels. MATERIALS AND METHODS Data were obtained from the Korean Children-Adolescents Study. Our cross-sectional study included 618 adolescents (370 normal-weight and 248 obese adolescents; 316 boys and 302 girls) aged 12-15years. Body composition was determined using an impedance body composition analyzer and general participant characteristics and lifestyle information were obtained from questionnaires. Serum irisin levels were measured using a commercial kit. RESULTS Mean body mass index (BMI) was 19.4kg/m2 in normal-weight adolescents and 31.4kg/m2 in obese adolescents. Circulating irisin was positively correlated with adiposity indices, including BMI z-score, waist circumference, percent body fat, fat mass, fat-free mass, fat mass to fat-free mass ratio, and lipid and glucose metabolism markers, including total cholesterol, low-density lipoprotein cholesterol (LDL-C), triglycerides, glucose, insulin, and homeostasis model assessment-estimated insulin resistance (all p≤0.006). Of these, increased body fat mass [standardized (Std) ß, 0.23; p<0.0001], LDL-C (Std ß, 0.14; p=0.0005) and fasting glucose (Std ß, 0.08; p=0.0383) were the main independent factors associated with higher irisin levels. Moreover, elevated serum irisin was associated with the risk of obesity [odds ratio (OR], 2.2; confidence interval (CI), 1.19-3.87] and MetS (OR, 2.0; CI, 1.15-3.47). Furthermore, irisin and branched-chain amino acids were positively associated (p<4×10-4 for Bonferroni correction). Additionally, in the normal-weight group, girls had higher irisin levels than boys (p=0.006) and adolescents who engaged in regular physical activity had higher levels of irisin than sedentary adolescents (p=0.0388). The relationship between physical activity and irisin levels was not observed in obese adolescents. CONCLUSIONS Elevated serum irisin was independently associated with the risk of obesity and positively correlated with unhealthy metabolic parameters and metabolites. Moreover, irisin levels were higher in active versus sedentary adolescents in the normal-weight group, but not in the obese group. Our findings suggest that irisin plays an important role in metabolic disorders and may be affected by physiopathological status.
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Affiliation(s)
- Han Byul Jang
- Center for Biomedical Science, Korea National Institute of Health, Cheongju, Chungcheongbuk-do, Republic of Korea
| | - Hyo-Jin Kim
- Center for Biomedical Science, Korea National Institute of Health, Cheongju, Chungcheongbuk-do, Republic of Korea
| | - Jae Heon Kang
- Department of Family Medicine, Obesity Research Institute, Seoul-Paik Hospital, Inje University, Seoul 100-032, Republic of Korea
| | - Sang Ick Park
- Center for Biomedical Science, Korea National Institute of Health, Cheongju, Chungcheongbuk-do, Republic of Korea
| | - Kyung Hee Park
- Department of Family Medicine, Hallym University Sacred Heart Hospital, Hallym University, Anyang, Gyeonggi-do 431-796, Republic of Korea.
| | - Hye-Ja Lee
- Center for Biomedical Science, Korea National Institute of Health, Cheongju, Chungcheongbuk-do, Republic of Korea.
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Metabolomics allows the discrimination of the pathophysiological relevance of hyperinsulinism in obese prepubertal children. Int J Obes (Lond) 2017; 41:1473-1480. [PMID: 28588306 DOI: 10.1038/ijo.2017.137] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Revised: 04/23/2017] [Accepted: 05/25/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND/OBJECTIVES Insulin resistance (IR) is the cornerstone of the obesity-associated metabolic derangements observed in obese children. Targeted metabolomics was employed to explore the pathophysiological relevance of hyperinsulinemia in childhood obesity in order to identify biomarkers of IR with potential clinical application. SUBJECTS/METHODS One hundred prepubertal obese children (50 girls/50 boys, 50% IR and 50% non-IR in each group), underwent an oral glucose tolerance test for usual carbohydrate and lipid metabolism determinations. Fasting serum leptin, total and high molecular weight-adiponectin and high-sensitivity C-reactive protein (CRP) levels were measured and the metabolites showing significant differences between IR and non-IR groups in a previous metabolomics study were quantified. Enrichment of metabolic pathways (quantitative enrichment analysis) and the correlations between lipid and carbohydrate metabolism parameters, adipokines and serum metabolites were investigated, with their discriminatory capacity being evaluated by receiver operating characteristic (ROC) analysis. RESULTS Twenty-three metabolite sets were enriched in the serum metabolome of IR obese children (P<0.05, false discovery rate (FDR)<5%). The urea cycle, alanine metabolism and glucose-alanine cycle were the most significantly enriched pathways (PFDR<0.00005). The high correlation between metabolites related to fatty acid oxidation and amino acids (mainly branched chain and aromatic amino acids) pointed to the possible contribution of mitochondrial dysfunction in IR. The degree of body mass index-standard deviation score (BMI-SDS) excess did not correlate with any of the metabolomic components studied. In the ROC analysis, the combination of leptin and alanine showed a high IR discrimination value in the whole cohort (area under curve, AUCALL=0.87), as well as in boys (AUCM=0.84) and girls (AUCF=0.91) when considered separately. However, the specific metabolite/adipokine combinations with highest sensitivity were different between the sexes. CONCLUSIONS Combined sets of metabolic, adipokine and metabolomic parameters can identify pathophysiological relevant IR in a single fasting sample, suggesting a potential application of metabolomic analysis in clinical practice to better identify children at risk without using invasive protocols.
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Jang HB, Choi MK, Kang JH, Park SI, Lee HJ. Association of dietary patterns with the fecal microbiota in Korean adolescents. BMC Nutr 2017; 3:20. [PMID: 32153802 PMCID: PMC7050889 DOI: 10.1186/s40795-016-0125-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Accepted: 12/23/2016] [Indexed: 01/28/2023] Open
Abstract
Background The gut microbiota has emerged as an important environmental factor associated with obesity, type 2 diabetes, and cardiovascular disease, through its interactions with dietary factors. Therefore, we analyzed the composition of the fecal microbiota and levels of biochemical markers related to metabolic disease according to dietary pattern in Korean adolescents. Methods We collected fecal samples from 112 student subjects aged 13-16 years with sufficient information available regarding clinical biomarkers and diet, and performed 16S rRNA targeted gene sequencing. Results Regarding bacterial composition according to taxonomic rank, we found that traditional dietary patterns enriched in plant-based and fermented foods were associated with higher proportions of Bacteroides (Bacteroidaceae) and Bifidobacterium (Bifidobacteriaceae-Actinobacteria) and a lower proportion of Prevotella (Prevotellaceae) relative to modified Western dietary patterns (a greater proportion of animal-based foods). Specifically, the proportion of Bacteroides (Bacteroidaceae) was associated with intake of plant-based nutrients such as fiber; however, that of Prevotella (Prevotellaceae) was negatively associated with these factors. Additionally, we observed that the increase of prevotella (Prevotellaceae) and decrease of Bacteroides (Bacteroidaceae) and Ruminococcaceae had a higher risk of obesity. We also found that the traditional dietary pattern was negatively associated with general and central adiposity and levels of clinical biomarkers, including AST, ALT, total cholesterol, triglyceride, hs-CRP, insulin, and HOMA-IR, whereas the positive associations were found for a modified Western dietary pattern. Conclusions These findings suggest that the gut microbiota composition differs markedly according to dietary intake and suggest a role for diet in promoting a gut microbiome associated with the pathogenesis of metabolic disease.
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Affiliation(s)
- Han Byul Jang
- 1Center for Biomedical Science, Korea National Institute of Health, Cheongju, Chungcheongbuk-do Republic of Korea
| | - Min-Kyu Choi
- 2Department of Family Medicine, Gangnam Hallym Sacred Heart Hospital, Hallym University, Seoul, Republic of Korea
| | - Jae Heon Kang
- 3Department of Family Medicine, Obesity Research Institute, Seoul Paik Hospital, College of Medicine, Inje University, Seoul, Republic of Korea
| | - Sang Ick Park
- 1Center for Biomedical Science, Korea National Institute of Health, Cheongju, Chungcheongbuk-do Republic of Korea
| | - Hye-Ja Lee
- 1Center for Biomedical Science, Korea National Institute of Health, Cheongju, Chungcheongbuk-do Republic of Korea
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Abstract
Metabolomics based on direct mass spectrometry (MS) analysis, either by direct infusion or flow injection of crude sample extracts, shows a great potential for metabolic fingerprinting because of its high-throughput screening capability, wide metabolite coverage and reduced time of analysis. Considering that numerous metabolic pathways are significantly perturbed during the initiation and progression of diseases, these metabolomic tools can be used to get a deeper understanding about disease pathogenesis and discover potential biomarkers for early diagnosis. In this work, we describe the most common metabolomic platforms used in biomedical research, with special focus on strategies based on direct MS analysis. Then, a comprehensive review on the application of direct MS fingerprinting in clinical issues is provided.
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Zhao X, Gang X, Liu Y, Sun C, Han Q, Wang G. Using Metabolomic Profiles as Biomarkers for Insulin Resistance in Childhood Obesity: A Systematic Review. J Diabetes Res 2016; 2016:8160545. [PMID: 27517054 PMCID: PMC4969529 DOI: 10.1155/2016/8160545] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 05/28/2016] [Accepted: 06/15/2016] [Indexed: 12/21/2022] Open
Abstract
A growing body of evidence has shown the intimate relationship between metabolomic profiles and insulin resistance (IR) in obese adults, while little is known about childhood obesity. In this review, we searched available papers addressing metabolomic profiles and IR in obese children from inception to February 2016 on MEDLINE, Web of Science, the Cochrane Library, ClinicalTrials.gov, and EMASE. HOMA-IR was applied as surrogate markers of IR and related metabolic disorders at both baseline and follow-up. To minimize selection bias, two investigators independently completed this work. After critical selection, 10 studies (including 2,673 participants) were eligible and evaluated by using QUADOMICS for quality assessment. Six of the 10 studies were classified as "high quality." Then we generated all the metabolites identified in each study and found amino acid metabolism and lipid metabolism were the main affected metabolic pathways in obese children. Among identified metabolites, branched-chain amino acids (BCAAs), aromatic amino acids (AAAs), and acylcarnitines were reported to be associated with IR as biomarkers most frequently. Additionally, BCAAs and tyrosine seemed to be relevant to future metabolic risk in the long-term follow-up cohorts, emphasizing the importance of early diagnosis and prevention strategy. Because of limited scale and design heterogeneity of existing studies, future studies might focus on validating above findings in more large-scale and longitudinal studies with elaborate design.
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Affiliation(s)
- Xue Zhao
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China
| | - Xiaokun Gang
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China
| | - Yujia Liu
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China
| | - Chenglin Sun
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China
| | - Qing Han
- Hospital of Orthopedics, The Second Hospital of Jilin University, Changchun 130021, China
| | - Guixia Wang
- Department of Endocrinology and Metabolism, The First Hospital of Jilin University, Changchun 130021, China
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Allam-Ndoul B, Guénard F, Garneau V, Cormier H, Barbier O, Pérusse L, Vohl MC. Association between Metabolite Profiles, Metabolic Syndrome and Obesity Status. Nutrients 2016; 8:nu8060324. [PMID: 27240400 PMCID: PMC4924165 DOI: 10.3390/nu8060324] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Revised: 05/11/2016] [Accepted: 05/20/2016] [Indexed: 12/28/2022] Open
Abstract
Underlying mechanisms associated with the development of abnormal metabolic phenotypes among obese individuals are not yet clear. Our aim is to investigate differences in plasma metabolomics profiles between normal weight (NW) and overweight/obese (Ov/Ob) individuals, with or without metabolic syndrome (MetS). Mass spectrometry-based metabolite profiling was used to compare metabolite levels between each group. Three main principal components factors explaining a maximum of variance were retained. Factor 1's (long chain glycerophospholipids) metabolite profile score was higher among Ov/Ob with MetS than among Ov/Ob and NW participants without MetS. This factor was positively correlated to plasma total cholesterol (total-C) and triglyceride levels in the three groups, to high density lipoprotein -cholesterol (HDL-C) among participants without MetS. Factor 2 (amino acids and short to long chain acylcarnitine) was positively correlated to HDL-C and negatively correlated with insulin levels among NW participants. Factor 3's (medium chain acylcarnitines) metabolite profile scores were higher among NW participants than among Ov/Ob with or without MetS. Factor 3 was negatively associated with glucose levels among the Ov/Ob with MetS. Factor 1 seems to be associated with a deteriorated metabolic profile that corresponds to obesity, whereas Factors 2 and 3 seem to be rather associated with a healthy metabolic profile.
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Affiliation(s)
- Bénédicte Allam-Ndoul
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V0A6, Canada.
| | - Frédéric Guénard
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V0A6, Canada.
| | - Véronique Garneau
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V0A6, Canada.
| | - Hubert Cormier
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V0A6, Canada.
| | - Olivier Barbier
- Laboratory of Molecular Pharmacology, CHU-Quebec Research Center, and Faculty of Pharmacy, Laval University, Quebec City, QC G1V4G2, Canada.
| | - Louis Pérusse
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V0A6, Canada.
- Department of Kinesiology, Laval University, Quebec City, QC G1V0A6, Canada.
| | - Marie-Claude Vohl
- Institute of Nutrition and Functional Foods (INAF), Laval University, Quebec City, QC G1V0A6, Canada.
- School of Nutrition, Laval University, Quebec City, QC G1V0A6, Canada.
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Gao X, Zhang W, Wang Y, Pedram P, Cahill F, Zhai G, Randell E, Gulliver W, Sun G. Serum metabolic biomarkers distinguish metabolically healthy peripherally obese from unhealthy centrally obese individuals. Nutr Metab (Lond) 2016; 13:33. [PMID: 27175209 PMCID: PMC4865032 DOI: 10.1186/s12986-016-0095-9] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 05/03/2016] [Indexed: 12/11/2022] Open
Abstract
Background Metabolic abnormalities are more associated with central obesity than peripheral obesity, but the underlying mechanisms are largely unknown. The present study was to identify serum metabolic biomarkers which distinguish metabolically unhealthy centrally obese (MUCO) from metabolically healthy peripherally obese (MHPO) individuals. Methods A two-stage case–control study design was employed. In the discovery stage, 20 individuals (10 MHPO and 10 MUCO) were included and in the following validation stage, 79 individuals (20 normal weight (NW), 30 MHPO, 29 MUCO) were utilized. Study groups were matched for age, sex, physical activity and total dietary calorie intake with MHPO and MUCO additionally matched for BMI. Metabolic abnormality was defined as: 1) HOMA-IR > 4.27 (90th percentile), 2) high-density lipoprotein cholesterol < 1.03 mmol/L in men and < 1.30 mmol/L in women, 3) fasting blood glucose ≥ 5.6 mmol/L, and 4) waist circumference > 102 cm in men and > 88 cm in women. MUCO individuals had all of these abnormalities whereas MHPO and NW individuals had none of them. A targeted metabolomics approach was performed on fasting serum samples, which can simultaneously identify and quantify 186 metabolites. Results In the discovery stage, serum leucine, isoleucine, tyrosine, valine, phenylalanine, alpha-aminoadipic acid, methioninesulfoxide and propionylcarnitine were found to be significantly higher in MUCO, compared with MHPO group after multiple testing adjustment. Significant changes of five metabolites (leucine, isoleucine, valine, alpha-aminoadipic acid, propionylcarnitine) were confirmed in the validation stage. Conclusions Significantly higher levels of serum leucine, isoleucine, valine, alpha-aminoadipic acid, propionylcarnitine are characteristic of metabolically unhealthy centrally obese patients. The finding provides novel insights into the pathogenesis of metabolic abnormalities in obesity. Electronic supplementary material The online version of this article (doi:10.1186/s12986-016-0095-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Xiang Gao
- College of Food Science and Engineering, Ocean University of China, No.5, Yu Shan Road, Qingdao, Shandong Province China ; Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
| | - Weidong Zhang
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
| | - Yongbo Wang
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada ; Department of Endocrinology, The First Affiliated Hospital of Dalian Medical University, Dalian, 116000 Liaoning China
| | - Pardis Pedram
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
| | - Farrell Cahill
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
| | - Guangju Zhai
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
| | - Edward Randell
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
| | - Wayne Gulliver
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
| | - Guang Sun
- Faculty of Medicine, Memorial University, 300 Prince Philip Drive, St. John's, NL Canada
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Hellmuth C, Kirchberg FF, Lass N, Harder U, Peissner W, Koletzko B, Reinehr T. Tyrosine Is Associated with Insulin Resistance in Longitudinal Metabolomic Profiling of Obese Children. J Diabetes Res 2016; 2016:2108909. [PMID: 26881241 PMCID: PMC4736430 DOI: 10.1155/2016/2108909] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 08/28/2015] [Accepted: 09/06/2015] [Indexed: 12/18/2022] Open
Abstract
In obese children, hyperinsulinaemia induces adverse metabolic consequences related to the risk of cardiovascular and other disorders. Branched-chain amino acids (BCAA) and acylcarnitines (Carn), involved in amino acid (AA) degradation, were linked to obesity-associated insulin resistance, but these associations yet have not been studied longitudinally in obese children. We studied 80 obese children before and after a one-year lifestyle intervention programme inducing substantial weight loss >0.5 BMI standard deviation scores in 40 children and no weight loss in another 40 children. At baseline and after the 1-year intervention, we assessed insulin resistance (HOMA index), fasting glucose, HbA1c, 2 h glucose in an oral glucose tolerance test, AA, and Carn. BMI adjusted metabolite levels were associated with clinical markers at baseline and after intervention, and changes with the intervention period were evaluated. Only tyrosine was significantly associated with HOMA (p < 0.05) at baseline and end and with change during the intervention (p < 0.05). In contrast, ratios depicting BCAA metabolism were negatively associated with HOMA at baseline (p < 0.05), but not in the longitudinal profiling. Stratified analysis revealed that the children with substantial weight loss drove this association. We conclude that tyrosine alterations in association with insulin resistance precede alteration in BCAA metabolism. This trial is registered with ClinicalTrials.gov Identifier NCT00435734.
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Affiliation(s)
- Christian Hellmuth
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich, Lindwurmstraße 4, 80337 Munich, Germany
| | - Franca Fabiana Kirchberg
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich, Lindwurmstraße 4, 80337 Munich, Germany
| | - Nina Lass
- Department of Pediatric Endocrinology, Diabetes and Nutrition Medicine, Vestische Hospital for Children and Adolescents, University of Witten-Herdecke, Dr. Friedrich Steiner Strasse 5, 45711 Datteln, Germany
| | - Ulrike Harder
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich, Lindwurmstraße 4, 80337 Munich, Germany
| | - Wolfgang Peissner
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich, Lindwurmstraße 4, 80337 Munich, Germany
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University of Munich, Lindwurmstraße 4, 80337 Munich, Germany
- *Berthold Koletzko:
| | - Thomas Reinehr
- Department of Pediatric Endocrinology, Diabetes and Nutrition Medicine, Vestische Hospital for Children and Adolescents, University of Witten-Herdecke, Dr. Friedrich Steiner Strasse 5, 45711 Datteln, Germany
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Association of Metabolic Syndrome with the Adiponectin to Homeostasis Model Assessment of Insulin Resistance Ratio. Mediators Inflamm 2015; 2015:607364. [PMID: 26556958 PMCID: PMC4628646 DOI: 10.1155/2015/607364] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Accepted: 09/20/2015] [Indexed: 01/02/2023] Open
Abstract
This study aimed at determining whether the adiponectin to HOMA-IR (A/H) ratio is associated with MetS and MetS components and comparing the diagnostic efficacy of adiponectin, HOMA-IR, and the A/H ratio in healthy, middle-aged participants. MetS was assessed in 1628 Kazakh participants (men, 768; women, 860). The associations between adiponectin, HOMA-IR, and the A/H ratio with the components of MetS and MetS were examined using logistic regression analysis and receiver operating characteristic (ROC) curves. Our results show that A/H ratio may be a better diagnostic marker for MetS than either HOMA-IR or adiponectin alone, and it may serve as an important biomarker to determine an increased risk for MetS in healthy middle-aged population.
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