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Healy DR, Zarei I, Mikkonen S, Soininen S, Viitasalo A, Haapala EA, Auriola S, Hanhineva K, Kolehmainen M, Lakka TA. Longitudinal associations of an exposome score with serum metabolites from childhood to adolescence. Commun Biol 2024; 7:890. [PMID: 39039257 PMCID: PMC11263428 DOI: 10.1038/s42003-024-06146-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 04/05/2024] [Indexed: 07/24/2024] Open
Abstract
Environmental and lifestyle factors, including air pollution, impaired diet, and low physical activity, have been associated with cardiometabolic risk factors in childhood and adolescence. However, environmental and lifestyle exposures do not exert their physiological effects in isolation. This study investigated associations between an exposome score to measure the impact of multiple exposures, including diet, physical activity, sleep duration, air pollution, and socioeconomic status, and serum metabolites measured using LC-MS and NMR, compared to the individual components of the score. A general population of 504 children aged 6-9 years at baseline was followed up for eight years. Data were analysed with linear mixed-effects models using the R software. The exposome score was associated with 31 metabolites, of which 12 metabolites were not associated with any individual exposure category. These findings highlight the value of a composite score to predict metabolic changes associated with multiple environmental and lifestyle exposures since childhood.
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Affiliation(s)
- Darren R Healy
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland.
| | - Iman Zarei
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Santtu Mikkonen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio Campus, Finland
- Department of Technical Physics, University of Eastern Finland, Kuopio Campus, Finland
| | - Sonja Soininen
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Physician and Nursing Services, Health and Social Services Centre, Wellbeing Services County of North Savo, Varkaus, Finland
| | - Anna Viitasalo
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Eero A Haapala
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Seppo Auriola
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio Campus, Finland
- LC-MS Metabolomics Center, Biocenter Kuopio, Kuopio, Finland
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
- Food Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland
| | - Marjukka Kolehmainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Timo A Lakka
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
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Zhong Y, Yang C, Zhang B, Chen Y, Cai W, Wang G, Zhao C, Zhao W. Causal impact of human blood metabolites and metabolic pathways on serum uric acid and gout: a mendelian randomization study. Front Endocrinol (Lausanne) 2024; 15:1378645. [PMID: 39027467 PMCID: PMC11256090 DOI: 10.3389/fendo.2024.1378645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 06/20/2024] [Indexed: 07/20/2024] Open
Abstract
Objective Hyperuricaemia and gout are common metabolic disorders. However, the causal relationships between blood metabolites and serum urate levels, as well as gout, remain unclear. A systematic evaluation of the causal connections between blood metabolites, hyperuricemia, and gout could enhance early screening and prevention of hyperuricemia and gout in clinical settings, providing novel insights and approaches for clinical treatment. Methods In this study, we employed a bidirectional two-sample Mendelian randomization analysis utilizing data from a genome-wide association study involving 7,286 participants, encompassing 486 blood metabolites. Serum urate and gout data were sourced from the Chronic Kidney Disease Genetics consortium, including 288,649 participants for serum urate and 9,819 African American and 753,994 European individuals for gout. Initially, LDSC methodology was applied to identify blood metabolites with a genetic relationship to serum urate and gout. Subsequently, inverse-variance weighting was employed as the primary analysis method, with a series of sensitivity and pleiotropy analyses conducted to assess the robustness of the results. Results Following LDSC, 133 blood metabolites exhibited a potential genetic relationship with serum urate and gout. In the primary Mendelian randomization analysis using inverse-variance weighting, 19 blood metabolites were recognized as potentially influencing serum urate levels and gout. Subsequently, the IVW p-values of potential metabolites were corrected using the false discovery rate method. We find leucine (IVW P FDR = 0.00004), N-acetylornithine (IVW P FDR = 0.0295), N1-methyl-3-pyridone-4-carboxamide (IVW P FDR = 0.0295), and succinyl carnitine (IVW P FDR = 0.00004) were identified as significant risk factors for elevated serum urate levels. Additionally, 1-oleoylglycerol (IVW P FDR = 0.0007) may lead to a substantial increase in the risk of gout. Succinyl carnitine exhibited acceptable weak heterogeneity, and the results for other blood metabolites remained robust after sensitivity, heterogeneity, and pleiotropy testing. We conducted an enrichment analysis on potential blood metabolites, followed by a metabolic pathway analysis revealing four pathways associated with serum urate levels. Conclusion The identified causal relationships between these metabolites and serum urate and gout offer a novel perspective, providing new mechanistic insights into serum urate levels and gout.
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Affiliation(s)
- Yan Zhong
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - ChengAn Yang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - BingHua Zhang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - YingWen Chen
- College of Integrated Chinese and Western Medicine, Tianjin University of Chinese Medicine, Tianjin, China
| | - WenJun Cai
- Department of Orthopaedic Center, The Third Clinical Hospital of Changchun University of Chinese Medicine, Changchun, China
| | - GuoChen Wang
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China
| | - ChangWei Zhao
- Department of Orthopedics Center, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China
| | - WenHai Zhao
- Department of Orthopedics Center, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China
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Choi BH, Hyun S, Koo SH. The role of BCAA metabolism in metabolic health and disease. Exp Mol Med 2024:10.1038/s12276-024-01263-6. [PMID: 38956299 DOI: 10.1038/s12276-024-01263-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 03/11/2024] [Accepted: 03/19/2024] [Indexed: 07/04/2024] Open
Abstract
It has long been postulated that dietary restriction is beneficial for ensuring longevity and extending the health span of mammals, including humans. In particular, a reduction in protein consumption has been shown to be specifically linked to the beneficial effect of dietary restriction on metabolic disorders, presumably by reducing the activity of the mechanistic target of rapamycin complex (mTORC) 1 and the reciprocal activation of AMP-activated protein kinase (AMPK) and sirtuin pathways. Although it is widely used as a dietary supplement to delay the aging process in humans, recent evidence suggests that branched-chain amino acids (BCAAs) might be a major cause of the deteriorating effect of a protein diet on aging and related disorders. In this review, we delineate the regulation of metabolic pathways for BCAAs at the tissue-specific level and summarize recent findings regarding the role of BCAAs in the control of metabolic health and disease in mammals.
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Affiliation(s)
| | - Seunghoon Hyun
- Division of Life Sciences, Korea University, Seoul, Korea
| | - Seung-Hoi Koo
- Division of Life Sciences, Korea University, Seoul, Korea.
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Liu R, Yang Y, Shi G, Zhang L. Branched-chain amino acid supplementation drives dynamic changes in gut microbiota without impairing glucose and lipid homeostasis at the different stages of insulin resistance in mice on a high-fat diet. Nutrition 2024; 123:112410. [PMID: 38579382 DOI: 10.1016/j.nut.2024.112410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 02/20/2024] [Accepted: 02/23/2024] [Indexed: 04/07/2024]
Abstract
OBJECTIVE The potential role of dietary branched-chain amino acids on circulating branched-chain amino acid levels and their relationship with metabolic health are complex, and the literature is inconsistent. We aimed to explore the dynamic effects of branched-chain amino acid supplementation on glucose and lipid homeostasis at different stages of insulin resistance in high-fat diet-fed mice. METHODS Male C57BL/6J mice were fed with a normal chow diet, high-fat diet, or high-fat diet supplemented with 100% branched-chain amino acids for 12 or 24 wk. Metabolic parameters and gut microbiota profiling were performed at these two time points. RESULTS High-fat diet feeding caused varying degrees of branched-chain amino acid metabolic disorders in two different stages of insulin resistance. Supplementing with branched-chain amino acids further exacerbated branched-chain amino acid accumulation in the early stage of insulin resistance (12 wk), while adding branched-chain amino acids did not further elevate branched-chain amino acid levels in the hyperglycemia and hyperinsulinemia stage (24 wk). Compared with the high-fat diet group, branched-chain amino acid supplementation did not affect body weight; liver total cholesterol and triacylglycerol levels; and serum glucose, insulin, total cholesterol, triacylglycerol, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol levels as well as glucose tolerance at these two time points but triggered dynamic changes in the gut bacterial diversity and gut microbiota composition and abundance, especially in the genus associated with obesity and related metabolic disorders. CONCLUSION Dietary branched-chain amino acid supplementation drives dynamic changes in circulating branched-chain amino acid levels and gut microbiome without subsequent effects on glucose and lipid homeostasis in high-fat diet-induced obese mice within the parameters of our study.
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Affiliation(s)
- Rui Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jianghan University, Wuhan, China.
| | - Yang Yang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guanjin Shi
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Lei Zhang
- Department of Chinese Medicine, School of Medicine, Jianghan University, Wuhan, China
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Campos JDO, Oliveira TLPSDA, Vitalis O, Pereira JG, Nogueira IDCR, Santos GCJ, Chikh K, Leandro CG, da Costa-Silva JH, Pirola L. Association between Childhood Overweight and Altered Concentrations of Circulating Amino Acids. Nutrients 2024; 16:1843. [PMID: 38931197 PMCID: PMC11206240 DOI: 10.3390/nu16121843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2024] [Revised: 06/06/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024] Open
Abstract
(1) Background: Dysregulated serum amino acids (AA) are known to be associated with obesity and risk of Type 2 Diabetes (T2D) in adults, and recent studies support the same notion in the pubertal age. It is, however, unknown whether childhood overweight may already display alterations of circulating AA. (2) Methods: We used liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS)-targeted metabolomics to determine plasma concentrations of AA and AA-related molecules in 36 children aged 7-12 years with normal weight or overweight. Clinical and anthropometric parameters were measured. (3) Results: Overweight in children is associated with an altered AA profile, with increased branched-chain amino acids (BCAA) and decreased glycine levels, with no clinically manifested metabolic conditions. Moreover, z-BMI was positively and negatively correlated with BCAA and glycine levels, respectively, even after adjustment for age and gender. We also found a correlation between the AA profile and clinical parameters such as lipids profile and glycemia. (4) Conclusions: A pattern of low glycine, and increased BCAA is correlated to z-BMI, total cholesterol, and triglycerides in overweight but otherwise healthy children. Our data suggest that, in childhood overweight, AA disturbances may precede other clinical parameters, thus providing an early indicator for the later development of metabolic disease.
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Affiliation(s)
- Jéssica de Oliveira Campos
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
| | - Tafnes Laís Pereira Santos de Almeida Oliveira
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Oriane Vitalis
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
| | - Jéssica Gonzaga Pereira
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Isabella da Costa Ribeiro Nogueira
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Gabriela Carvalho Jurema Santos
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Karim Chikh
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
| | - Carol Gois Leandro
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - João Henrique da Costa-Silva
- Laboratory of Nutrition, Physical Activity and Phenotypic Plasticity, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (J.d.O.C.); (T.L.P.S.d.A.O.); (J.G.P.); (C.G.L.); (J.H.d.C.-S.)
- Laboratory of Physical Evaluation and Signal Processing, Academic Center of Vitória, Universidade Federal de Pernambuco, UFPE, Vitória de Santo Antão 55608-680, PE, Brazil; (I.d.C.R.N.); (G.C.J.S.)
| | - Luciano Pirola
- INSERM Unit 1060, CarMeN Laboratory, Lyon Civil Hospitals, Claude Bernard Lyon1 University, 69310 Pierre Bénite, France; (O.V.); (K.C.)
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Ye W, Han K, Xie M, Li S, Chen G, Wang Y, Li T. Mitochondrial energy metabolism in diabetic cardiomyopathy: Physiological adaption, pathogenesis, and therapeutic targets. Chin Med J (Engl) 2024; 137:936-948. [PMID: 38527931 PMCID: PMC11046025 DOI: 10.1097/cm9.0000000000003075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Indexed: 03/27/2024] Open
Abstract
ABSTRACT Diabetic cardiomyopathy is defined as abnormal structure and function of the heart in the setting of diabetes, which could eventually develop heart failure and leads to the death of the patients. Although blood glucose control and medications to heart failure show beneficial effects on this disease, there is currently no specific treatment for diabetic cardiomyopathy. Over the past few decades, the pathophysiology of diabetic cardiomyopathy has been extensively studied, and an increasing number of studies pinpoint that impaired mitochondrial energy metabolism is a key mediator as well as a therapeutic target. In this review, we summarize the latest research in the field of diabetic cardiomyopathy, focusing on mitochondrial damage and adaptation, altered energy substrates, and potential therapeutic targets. A better understanding of the mitochondrial energy metabolism in diabetic cardiomyopathy may help to gain more mechanistic insights and generate more precise mitochondria-oriented therapies to treat this disease.
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Affiliation(s)
- Wanlin Ye
- Department of Anesthesiology, Laboratory of Mitochondria and Metabolism, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Kun Han
- Department of Anesthesiology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610041, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu, Sichuan 610041, China
| | - Maodi Xie
- Department of Anesthesiology, Laboratory of Mitochondria and Metabolism, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Sheyu Li
- Department of Endocrinology and Metabolism, Division of Guideline and Rapid Recommendation, Cochrane China Center, MAGIC China Center, Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Guo Chen
- Department of Anesthesiology, Laboratory of Mitochondria and Metabolism, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yanyan Wang
- Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tao Li
- Department of Anesthesiology, Laboratory of Mitochondria and Metabolism, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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Ahmadi H, Askari M, Suitor K, Bellissimo N, Azadbakht L. The association between different types of amino acid intake and physical growth among children. Clin Nutr ESPEN 2024; 60:165-172. [PMID: 38479905 DOI: 10.1016/j.clnesp.2023.12.143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/07/2023] [Accepted: 12/20/2023] [Indexed: 04/13/2024]
Abstract
BACKGROUND & AIMS Restricted linear growth and abnormal weight status are commonly observed among children in low-income countries, possibly due to inadequate protein intake. Considering the role of protein intake and amino acid (AA) synthesis in growth and development, it has been suggested that there may be an association between AA intake and physical growth. We aimed to investigate the association between different types of AA intake and physical growth among children. METHODS A cross-sectional study including 780 six-year-old children referred to 10 health care centers for vaccination between October 2017 and March 2018 was conducted. Anthropometric data was collected using standard methods, and dietary intake was assessed using a validated food-frequency questionnaire (FFQ) in an interview by a trained technician. RESULTS Children in the highest tertile (3rd) of branched-chain amino acids (BCAA) intake had a higher weight-for-age z-score (WAZ) (P = 0.02) and body mass index-for-age z-score (BAZ) (P = 0.001) compared to those in the lowest tertile (1st). Interestingly, BAZ was significantly associated with the highest tertile of acidic AA intake (P = 0.04), while an inverse association was observed between the highest tertile of aromatic AA (phenylalanine and tyrosine) intake and BAZ (P = 0.01) . No significant associations were observed between the highest tertile of sulfuric, aliphatic, or neutral AA and BAZ, height-for-age z-score (HAZ) or WAZ. Further, underweight was associated with the 3rd tertile of aromatic, alcoholic, aliphatic or neutral AA and BCAA intake. Aliphatic and neutral AA intake was also increased the risk of overweight. Finally, stunted growth patterns were associated with the highest tertile of acidic, alcoholic. CONCLUSION Findings presented in this study showed that higher BAZ and WAZ are associated with 3rd tertiles of BCAA intake, but lower BAZ were associated with 3rd tertiles of aromatic AA (phenylalanine and tyrosine) intake. Future research in other populations are needed to confirm these findings.
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Affiliation(s)
- Hedieh Ahmadi
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammadreza Askari
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Katherine Suitor
- Faculty of Community Services, School of Nutrition, Toronto Metropolitan University, Toronto, Canada
| | - Nick Bellissimo
- Faculty of Community Services, School of Nutrition, Toronto Metropolitan University, Toronto, Canada
| | - Leila Azadbakht
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran; Diabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
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Bacha F, El-Ayash H, Mohamad M, Sharma S, Puyau M, Kanchi R, Coarfa C. Distinct Amino Acid Profile Characterizes Youth With or at Risk for Type 2 Diabetes. Diabetes 2024; 73:628-636. [PMID: 38215171 DOI: 10.2337/db23-0375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 01/10/2024] [Indexed: 01/14/2024]
Abstract
Branched-chain amino acids (BCAAs) and aromatic AAs (AAAs) are associated with increased risk for type 2 diabetes in adults. Studies in youth show conflicting results. We hypothesized that an AA metabolomic signature can be defined to identify youth at risk for β-cell failure and the development of type 2 diabetes. We performed targeted AA metabolomics analysis on 127 adolescents (65 girls; 15.5 [SD ±1.9] years old, Tanner stage II-V) with normal weight or obesity across the spectrum of glycemia, with assessment of AA concentrations by mass spectrometry, at fasting, and steady state of a hyperinsulinemic-euglycemic clamp, with determination of insulin sensitivity (IS) per fat-free mass (FFM). We measured insulin secretion during a 2-h hyperglycemic clamp and calculated the disposition index per FFM (DIFFM), a measure of β-cell function. Our results showed that concentration of glycine (Gly) and the glutamine (Gln)-to-glutamate (Glu) ratio were lower, whereas BCAA, tyrosine, and lysine (Lys) concentrations were higher in the groups with obesity and dysglycemia compared with those with normal weight. Gly and Gln-to-Glu ratio were positively related to IS and DIFFM, with opposite relationships observed for BCAAs, AAAs, and Lys. We conclude that a metabolic signature of low Gly concentration and low Gln-to-Glu ratio, and elevated BCAAs, AAAs, and Lys concentrations may constitute a biomarker to identify youth at risk for β-cell failure. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Fida Bacha
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Division of Pediatric Endocrinology and Diabetes, Texas Children's Hospital, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Heba El-Ayash
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Division of Pediatric Endocrinology and Diabetes, Texas Children's Hospital, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Mahmoud Mohamad
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Susan Sharma
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Maurice Puyau
- U.S. Department of Agriculture, Agricultural Research Service, Children's Nutrition Research Center, Houston, TX
- Baylor College of Medicine, Houston, TX
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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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10
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Mosley JD, Shi M, Agamasu D, Vaitinadin NS, Murthy VL, Shah RV, Bagheri M, Ferguson JF. Branched-chain amino acids and type 2 diabetes: a bidirectional Mendelian randomization analysis. Obesity (Silver Spring) 2024; 32:423-435. [PMID: 38269471 PMCID: PMC10827349 DOI: 10.1002/oby.23951] [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: 07/31/2023] [Revised: 09/27/2023] [Accepted: 10/18/2023] [Indexed: 01/26/2024]
Abstract
OBJECTIVE Genetic studies have suggested that the branched-chain amino acids (BCAAs) valine, leucine, and isoleucine have a causal association with type 2 diabetes (T2D). However, inferences are based on a limited number of genetic loci associated with BCAAs. METHODS Instrumental variables (IVs) for each BCAA were constructed and validated using large well-powered data sets and their association with T2D was tested using a two-sample inverse-variance weighted Mendelian randomization approach. Sensitivity analyses were performed to ensure the accuracy of the findings. A reverse association was assessed using instrumental variables for T2D. RESULTS Estimated effect sizes between BCAA IVs and T2D, excluding outliers, were as follows: valine (β = 0.14 change in log-odds per SD change in valine, 95% CI: -0.06 to 0.33, p = 0.17), leucine (β = 0.15, 95% CI: -0.02 to 0.32, p = 0.09), and isoleucine (β = 0.13, 95% CI: -0.08 to 0.34, p = 0.24). In contrast, T2D IVs were positively associated with each BCAA, i.e., valine (β = 0.08 per SD change in levels per log-odds change in T2D, 95% CI: 0.05 to 0.10, p = 1.8 × 10-9 ), leucine (β = 0.06, 95% CI: 0.04 to 0.09, p = 4.5 × 10-8 ), and isoleucine (β = 0.06, 95% CI: 0.04 to 0.08, p = 2.8 × 10-8 ). CONCLUSIONS These data suggest that the BCAAs are not mediators of T2D risk but are biomarkers of diabetes.
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Affiliation(s)
- Jonathan D. Mosley
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Mingjian Shi
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Venkatesh L. Murthy
- Division of Cardiovascular Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI
| | - Ravi V. Shah
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Minoo Bagheri
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jane F. Ferguson
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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11
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Tauriainen MM, Csader S, Lankinen M, Lo KK, Chen C, Lahtinen O, El-Nezamy H, Laakso M, Schwab U. PNPLA3 Genotype and Dietary Fat Modify Concentrations of Plasma and Fecal Short Chain Fatty Acids and Plasma Branched-Chain Amino Acids. Nutrients 2024; 16:261. [PMID: 38257154 PMCID: PMC10819939 DOI: 10.3390/nu16020261] [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: 11/01/2023] [Revised: 12/11/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
The GG genotype of the Patatin-like phosphatase domain-containing 3 (PNPLA3), dietary fat, short-chain fatty acids (SCFA) and branched-chain amino acids (BCAA) are linked with non-alcoholic fatty liver disease. We studied the impact of the quality of dietary fat on plasma (p) and fecal (f) SCFA and p-BCAA in men homozygous for the PNPLA3 rs738409 variant (I148M). Eighty-eight randomly assigned men (age 67.8 ± 4.3 years, body mass index 27.1 ± 2.5 kg/m2) participated in a 12-week diet intervention. The recommended diet (RD) group followed the National and Nordic nutrition recommendations for fat intake. The average diet (AD) group followed the average fat intake in Finland. The intervention resulted in a decrease in total p-SCFAs and iso-butyric acid in the RD group (p = 0.041 and p = 0.002). Valeric acid (p-VA) increased in participants with the GG genotype regardless of the diet (RD, 3.6 ± 0.6 to 7.0 ± 0.6 µmol/g, p = 0.005 and AD, 3.8 ± 0.3 to 9.7 ± 8.5 µmol/g, p = 0.015). Also, genotype relation to p-VA was seen statistically significantly in the RD group (CC: 3.7 ± 0.4 to 4.2 ± 1.7 µmol/g and GG: 3.6 ± 0.6 to 7.0 ± 0.6 µmol/g, p = 0.0026 for time and p = 0.004 for time and genotype). P-VA, unlike any other SCFA, correlated positively with plasma gamma-glutamyl transferase (r = 0.240, p = 0.025). Total p-BCAAs concentration changed in the AD group comparing PNPLA3 CC and GG genotypes (CC: 612 ± 184 to 532 ± 149 µmol/g and GG: 587 ± 182 to 590 ± 130 µmol/g, p = 0.015 for time). Valine decreased in the RD group (p = 0.009), and leucine decreased in the AD group (p = 0.043). RD decreased total fecal SCFA, acetic acid (f-AA), and butyric acid (f-BA) in those with CC genotype (p = 0.006, 0.013 and 0.005, respectively). Our results suggest that the PNPLA3 genotype modifies the effect of dietary fat modification for p-VA, total f-SCFA, f-AA and f-BA, and total p-BCAA.
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Affiliation(s)
- Milla-Maria Tauriainen
- Department of Medicine, Endoscopy Unit, Kuopio University Hospital, 70029 Kuopio, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland (M.L.); (H.E.-N.); (U.S.)
| | - Susanne Csader
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland (M.L.); (H.E.-N.); (U.S.)
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland (M.L.); (H.E.-N.); (U.S.)
| | - Kwun Kwan Lo
- School of Biological Sciences, University of Hong Kong, Pokfulam, Hong Kong, China; (K.K.L.); (C.C.)
| | - Congjia Chen
- School of Biological Sciences, University of Hong Kong, Pokfulam, Hong Kong, China; (K.K.L.); (C.C.)
| | - Olli Lahtinen
- Diagnostic Imaging Centre, Department of Clinical Radiology, Kuopio University Hospital, 70029 Kuopio, Finland;
| | - Hani El-Nezamy
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland (M.L.); (H.E.-N.); (U.S.)
- School of Biological Sciences, University of Hong Kong, Pokfulam, Hong Kong, China; (K.K.L.); (C.C.)
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70211 Kuopio, Finland;
- Department of Medicine, Kuopio University Hospital, 70029 Kuopio, Finland
| | - Ursula Schwab
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70210 Kuopio, Finland (M.L.); (H.E.-N.); (U.S.)
- Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, 70029 Kuopio, Finland
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12
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Namasivayam S, Tilves C, Ding H, Wu S, Domingue JC, Ruiz-Bedoya C, Shah A, Bohrnsen E, Schwarz B, Bacorn M, Chen Q, Levy S, Dominguez Bello MG, Jain SK, Sears CL, Mueller NT, Hourigan SK. Fecal transplant from vaginally seeded infants decreases intraabdominal adiposity in mice. Gut Microbes 2024; 16:2353394. [PMID: 38743047 PMCID: PMC11095576 DOI: 10.1080/19490976.2024.2353394] [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: 10/30/2023] [Accepted: 05/06/2024] [Indexed: 05/16/2024] Open
Abstract
Exposing C-section infants to the maternal vaginal microbiome, coined "vaginal seeding", partially restores microbial colonization. However, whether vaginal seeding decreases metabolic disease risk is unknown. Therefore, we assessed the effect of vaginal seeding of human infants on adiposity in a murine model. Germ-free mice were colonized with transitional stool from human infants who received vaginal seeding or control (placebo) seeding in a double-blind randomized trial. There was a reduction in intraabdominal adipose tissue (IAAT) volume in male mice that received stool from vaginally seeded infants compared to control infants. Higher levels of isoleucine and lower levels of nucleic acid metabolites were observed in controls and correlated with increased IAAT. This suggests that early changes in the gut microbiome and metabolome caused by vaginal seeding have a positive impact on metabolic health.
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Affiliation(s)
- Sivaranjani Namasivayam
- Clinical Microbiome Unit (CMU), Laboratory of Host Immunity and Microbiome, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Curtis Tilves
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA
| | - Hua Ding
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shaoguang Wu
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jada C Domingue
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Camilo Ruiz-Bedoya
- Center for Infection and Inflammation Imaging Research, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ankit Shah
- Inova Health System, Inova Women’s Hospital, Falls Church, VA, USA
| | - Eric Bohrnsen
- Research Technologies Branch, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases; National Institutes of Health, Hamilton, MT, USA
| | - Benjamin Schwarz
- Research Technologies Branch, Rocky Mountain Laboratories, National Institute of Allergy and Infectious Diseases; National Institutes of Health, Hamilton, MT, USA
| | - Mickayla Bacorn
- Clinical Microbiome Unit (CMU), Laboratory of Host Immunity and Microbiome, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Qing Chen
- Clinical Microbiome Unit (CMU), Laboratory of Host Immunity and Microbiome, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Shira Levy
- Clinical Microbiome Unit (CMU), Laboratory of Host Immunity and Microbiome, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Maria Gloria Dominguez Bello
- Departments of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA
- Humans and the microbiome program, Canadian Institute for Advanced Research (CIFAR), Toronto, ON, Canada
| | - Sanjay K Jain
- Center for Infection and Inflammation Imaging Research, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Cynthia L Sears
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Noel T Mueller
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Welch Center for Prevention, Epidemiology and Clinical Research, Baltimore, MD, USA
| | - Suchitra K Hourigan
- Clinical Microbiome Unit (CMU), Laboratory of Host Immunity and Microbiome, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
- Division of Pediatric Gastroenterology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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13
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Goodrich JA, Wang H, Walker DI, Lin X, Hu X, Alderete TL, Chen Z, Valvi D, Baumert BO, Rock S, Berhane K, Gilliland FD, Goran MI, Jones DP, Conti DV, Chatzi L. Postprandial Metabolite Profiles and Risk of Prediabetes in Young People: A Longitudinal Multicohort Study. Diabetes Care 2024; 47:151-159. [PMID: 37971952 PMCID: PMC10733648 DOI: 10.2337/dc23-0327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 10/22/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Prediabetes in young people is an emerging epidemic that disproportionately impacts Hispanic populations. We aimed to develop a metabolite-based prediction model for prediabetes in young people with overweight/obesity at risk for type 2 diabetes. RESEARCH DESIGN AND METHODS In independent, prospective cohorts of Hispanic youth (discovery; n = 143 without baseline prediabetes) and predominately Hispanic young adults (validation; n = 56 without baseline prediabetes), we assessed prediabetes via 2-h oral glucose tolerance tests. Baseline metabolite levels were measured in plasma from a 2-h postglucose challenge. In the discovery cohort, least absolute shrinkage and selection operator regression with a stability selection procedure was used to identify robust predictive metabolites for prediabetes. Predictive performance was evaluated in the discovery and validation cohorts using logistic regression. RESULTS Two metabolites (allylphenol sulfate and caprylic acid) were found to predict prediabetes beyond known risk factors, including sex, BMI, age, ethnicity, fasting/2-h glucose, total cholesterol, and triglycerides. In the discovery cohort, the area under the receiver operator characteristic curve (AUC) of the model with metabolites and known risk factors was 0.80 (95% CI 0.72-0.87), which was higher than the risk factor-only model (AUC 0.63 [0.53-0.73]; P = 0.001). When the predictive models developed in the discovery cohort were applied to the replication cohort, the model with metabolites and risk factors predicted prediabetes more accurately (AUC 0.70 [95% CI 40.55-0.86]) than the same model without metabolites (AUC 0.62 [0.46-0.79]). CONCLUSIONS Metabolite profiles may help improve prediabetes prediction compared with traditional risk factors. Findings suggest that medium-chain fatty acids and phytochemicals are early indicators of prediabetes in high-risk youth.
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Affiliation(s)
- Jesse A. Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Hongxu Wang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Douglas I. Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Xiangping Lin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Xin Hu
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Brittney O. Baumert
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Sarah Rock
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Kiros Berhane
- Department of Biostatistics, Columbia University, New York, NY
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Michael I. Goran
- Division of Endocrinology, Department of Pediatrics, Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, Los Angeles, CA
| | - Dean P. Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA
| | - David V. Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Leda Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
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14
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Szabo E, Nagy B, Czajlik A, Komlodi T, Ozohanics O, Tretter L, Ambrus A. Mitochondrial Alpha-Keto Acid Dehydrogenase Complexes: Recent Developments on Structure and Function in Health and Disease. Subcell Biochem 2024; 104:295-381. [PMID: 38963492 DOI: 10.1007/978-3-031-58843-3_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/05/2024]
Abstract
The present work delves into the enigmatic world of mitochondrial alpha-keto acid dehydrogenase complexes discussing their metabolic significance, enzymatic operation, moonlighting activities, and pathological relevance with links to underlying structural features. This ubiquitous family of related but diverse multienzyme complexes is involved in carbohydrate metabolism (pyruvate dehydrogenase complex), the citric acid cycle (α-ketoglutarate dehydrogenase complex), and amino acid catabolism (branched-chain α-keto acid dehydrogenase complex, α-ketoadipate dehydrogenase complex); the complexes all function at strategic points and also participate in regulation in these metabolic pathways. These systems are among the largest multienzyme complexes with at times more than 100 protein chains and weights ranging up to ~10 million Daltons. Our chapter offers a wealth of up-to-date information on these multienzyme complexes for a comprehensive understanding of their significance in health and disease.
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Affiliation(s)
- Eszter Szabo
- Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Balint Nagy
- Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Andras Czajlik
- Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Timea Komlodi
- Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Oliver Ozohanics
- Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Laszlo Tretter
- Department of Biochemistry, Semmelweis University, Budapest, Hungary
| | - Attila Ambrus
- Department of Biochemistry, Semmelweis University, Budapest, Hungary.
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15
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Chamoso-Sanchez D, Rabadán Pérez F, Argente J, Barbas C, Martos-Moreno GA, Rupérez FJ. Identifying subgroups of childhood obesity by using multiplatform metabotyping. Front Mol Biosci 2023; 10:1301996. [PMID: 38174068 PMCID: PMC10761426 DOI: 10.3389/fmolb.2023.1301996] [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: 09/25/2023] [Accepted: 11/30/2023] [Indexed: 01/05/2024] Open
Abstract
Introduction: Obesity results from an interplay between genetic predisposition and environmental factors such as diet, physical activity, culture, and socioeconomic status. Personalized treatments for obesity would be optimal, thus necessitating the identification of individual characteristics to improve the effectiveness of therapies. For example, genetic impairment of the leptin-melanocortin pathway can result in rare cases of severe early-onset obesity. Metabolomics has the potential to distinguish between a healthy and obese status; however, differentiating subsets of individuals within the obesity spectrum remains challenging. Factor analysis can integrate patient features from diverse sources, allowing an accurate subclassification of individuals. Methods: This study presents a workflow to identify metabotypes, particularly when routine clinical studies fail in patient categorization. 110 children with obesity (BMI > +2 SDS) genotyped for nine genes involved in the leptin-melanocortin pathway (CPE, MC3R, MC4R, MRAP2, NCOA1, PCSK1, POMC, SH2B1, and SIM1) and two glutamate receptor genes (GRM7 and GRIK1) were studied; 55 harboring heterozygous rare sequence variants and 55 with no variants. Anthropometric and routine clinical laboratory data were collected, and serum samples processed for untargeted metabolomic analysis using GC-q-MS and CE-TOF-MS and reversed-phase U(H)PLC-QTOF-MS/MS in positive and negative ionization modes. Following signal processing and multialignment, multivariate and univariate statistical analyses were applied to evaluate the genetic trait association with metabolomics data and clinical and routine laboratory features. Results and Discussion: Neither the presence of a heterozygous rare sequence variant nor clinical/routine laboratory features determined subgroups in the metabolomics data. To identify metabolomic subtypes, we applied Factor Analysis, by constructing a composite matrix from the five analytical platforms. Six factors were discovered and three different metabotypes. Subtle but neat differences in the circulating lipids, as well as in insulin sensitivity could be established, which opens the possibility to personalize the treatment according to the patients categorization into such obesity subtypes. Metabotyping in clinical contexts poses challenges due to the influence of various uncontrolled variables on metabolic phenotypes. However, this strategy reveals the potential to identify subsets of patients with similar clinical diagnoses but different metabolic conditions. This approach underscores the broader applicability of Factor Analysis in metabotyping across diverse clinical scenarios.
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Affiliation(s)
- David Chamoso-Sanchez
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | | | - Jesús Argente
- Department of Pediatrics and Pediatric Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación Sanitaria La Princesa, Universidad Autónoma de Madrid, Madrid, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- IMDEA Food Institute, Madrid, Spain
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Gabriel A. Martos-Moreno
- Department of Pediatrics and Pediatric Endocrinology, Hospital Infantil Universitario Niño Jesús, Instituto de Investigación Sanitaria La Princesa, Universidad Autónoma de Madrid, Madrid, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Francisco J. Rupérez
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
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16
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Huang C, Luo Y, Zeng B, Chen Y, Liu Y, Chen W, Liao X, Liu Y, Wang Y, Wang X. Branched-chain amino acids prevent obesity by inhibiting the cell cycle in an NADPH-FTO-m 6A coordinated manner. J Nutr Biochem 2023; 122:109437. [PMID: 37666478 DOI: 10.1016/j.jnutbio.2023.109437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 08/15/2023] [Accepted: 08/30/2023] [Indexed: 09/06/2023]
Abstract
Obesity has become a major health crisis in the past decades. Branched-chain amino acids (BCAA), a class of essential amino acids, exerted beneficial health effects with regard to obesity and its related metabolic dysfunction, although the underlying reason is unknown. Here, we show that BCAA supplementation alleviates high-fat diet (HFD)-induced obesity and insulin resistance in mice and inhibits adipogenesis in 3T3-L1 cells. Further, we find that BCAA prevent the mitotic clonal expansion (MCE) of preadipocytes by reducing cyclin A2 (CCNA2) and cyclin-dependent kinase 2 (CDK2) expression. Mechanistically, BCAA decrease the concentration of nicotinamide adenine dinucleotide phosphate (NADPH) in adipose tissue and 3T3-L1 cells by reducing glucose-6-phosphate dehydrogenase (G6PD) expression. The reduced NADPH attenuates the expression of fat mass and obesity-associated (FTO) protein, a well-known m6A demethylase, to increase the N6-methyladenosine (m6A) levels of Ccna2 and Cdk2 mRNA. Meanwhile, the high m6A levels of Ccna2 and Cdk2 mRNA are recognized by YTH N6-methyladenosine RNA binding protein 2 (YTHDF2), which results in mRNA decay and reduction of their protein expressions. Overall, our data demonstrate that BCAA inhibit obesity and adipogenesis by reducing CDK2 and CCNA2 expression via an NADPH-FTO-m6A coordinated manner in vivo and in vitro, which raises a new perspective on the role of m6A in the BCAA regulation of obesity and adipogenesis.
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Affiliation(s)
- Chaoqun Huang
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Yaojun Luo
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Botao Zeng
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Yushi Chen
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Youhua Liu
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Wei Chen
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Xing Liao
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Yuxi Liu
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Yizhen Wang
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China
| | - Xinxia Wang
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang province, China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, China; Key Laboratory of Animal Nutrition and Feed Science (Eastern of China), Ministry of Agriculture and Rural Affairs, Hangzhou, China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, China.
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Yan W, Wu S, Liu Q, Zheng Q, Gu W, Li X. The link between obesity and insulin resistance among children: Effects of key metabolites. J Diabetes 2023; 15:1020-1028. [PMID: 37622725 PMCID: PMC10755598 DOI: 10.1111/1753-0407.13460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 06/09/2023] [Accepted: 07/27/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Childhood obesity became a severe public health challenge, and insulin resistance (IR) was one of the common complications. Both obesity and IR were considered as the basis of metabolic disorders. However, it is unclear which common key metabolites are associated with childhood obesity and IR. METHODS The children were divided into normal weight and overweight/obese groups. Fasting blood glucose and fasting insulin were measured, and homeostasis model assessment of insulin resistance was calculated. Liquid chromatography-tandem mass spectrometry was applied for metabonomic analysis. Multiple linear regression analysis and correlation analysis explored the relationships between obesity, IR, and metabolites. Random forests were used to rank the importance of differential metabolites, and relative operating characteristic curves were used for prediction. RESULTS A total of 88 normal-weight children and 171 obese/overweight children participated in the study. There was a significant difference between the two groups in 30 metabolites. Childhood obesity was significantly associated with 10 amino acid metabolites and 20 fatty acid metabolites. There were 12 metabolites significantly correlated with IR. The ranking of metabolites in random forest showed that glutamine, tyrosine, and alanine were important in amino acids, and pyruvic-ox-2, ethylmalonic-2, and phenyllactic-2 were important in fatty acids. The area under the curve of body mass index standard deviation score (BMI-SDS) combined with key amino acid metabolites and fatty acid metabolites for predicting IR was 80.0% and 76.6%, respectively. CONCLUSIONS There are common key metabolites related to IR and obese children, and these key metabolites combined with BMI-SDS could effectively predict the risk of IR.
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Affiliation(s)
- Wu Yan
- Department of Children Health CareChildren's Hospital of Nanjing Medical UniversityNanjingChina
| | - Su Wu
- Department of EndocrinologyChildren's Hospital of Nanjing Medical UniversityNanjingChina
| | - Qianqi Liu
- Department of Children Health CareChildren's Hospital of Nanjing Medical UniversityNanjingChina
| | - Qingqing Zheng
- Department of Children Health CareChildren's Hospital of Nanjing Medical UniversityNanjingChina
| | - Wei Gu
- Department of EndocrinologyChildren's Hospital of Nanjing Medical UniversityNanjingChina
| | - Xiaonan Li
- Department of Children Health CareChildren's Hospital of Nanjing Medical UniversityNanjingChina
- Institute of Pediatric Research, Nanjing Medical UniversityNanjingChina
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18
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Ismail HM, Perera D, Mandal R, DiMeglio LA, Evans-Molina C, Hannon T, Petrosino J, Javornick CreGreen S, Schmidt NW. Gut microbial changes associated with obesity in youth with type 1 diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.01.23299251. [PMID: 38076970 PMCID: PMC10705628 DOI: 10.1101/2023.12.01.23299251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/14/2024]
Abstract
Obesity is increasingly prevalent in type 1 diabetes (T1D) and is associated with management problems and higher risk for diabetes complications. Gut microbiome changes have been described separately in each of T1D and obesity, however, it is unknown to what extent gut microbiome changes are seen when obesity and T1D concomitantly occur. OBJECTIVE To describe the gut microbiome and microbial metabolite changes associated with obesity in T1D. We hypothesized significant gut microbial and metabolite differences between T1D youth who are lean (BMI: 5-<85%) vs. those with obesity (BMI: ≥95%). METHODS We analyzed stool samples for gut microbial (using metagenomic shotgun sequencing) and short-chain fatty acid (SCFA) metabolite differences in lean (n=27) and obese (n=21) T1D youth. The mean±SD age was 15.3±2.2yrs, A1c 7.8±1.3%, diabetes duration 5.1±4.4yrs, 42.0% females, and 94.0% were White. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify taxa that best discriminated between the BMI groups. RESULTS Bacterial community composition showed differences in species type (β-diversity) by BMI group (p=0.013). At the genus level, there was a higher ratio of Prevotella to Bacteroides in the obese group (p=0.0058). LEfSe analysis showed a differential distribution of significantly abundant taxa in either the lean or obese groups, including increased relative abundance of Prevotella copri , among other taxa in the obese group. Functional profiling showed that pathways associated with decreased insulin sensitivity were upregulated in the obese group. Stool SCFAs (acetate, propionate and butyrate) were higher in the obese compared to the lean group (p<0.05 for all). CONCLUSIONS Our findings identify gut microbiome, microbial metabolite and functional pathways differences associated with obesity in T1D. These findings could be helpful in identifying gut microbiome targeted therapies to manage obesity in T1D.
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19
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Chaiyasoot K, Sakai NS, Zakeri R, Makaronidis J, Crisóstomo L, Alves MG, Gan W, Firman C, Jassil FC, Hall-Craggs MA, Taylor SA, Batterham RL. Weight-loss Independent Clinical and Metabolic Biomarkers Associated with Type 2 Diabetes Remission Post-bariatric/metabolic Surgery. Obes Surg 2023; 33:3988-3998. [PMID: 37910328 PMCID: PMC10687127 DOI: 10.1007/s11695-023-06905-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 10/04/2023] [Accepted: 10/11/2023] [Indexed: 11/03/2023]
Abstract
PURPOSE Remission of type 2 diabetes (T2D) can be achieved by many, but not all, people following bariatric/metabolic surgery. The mechanisms underlying T2D remission remain incompletely understood. This observational study aimed to identify novel weight-loss independent clinical, metabolic and genetic factors that associate with T2D remission using comprehensive phenotyping. MATERIALS AND METHODS Ten patients without T2D remission (non-remitters) were matched to 10 patients with T2D remission (remitters) for age, sex, type of surgery, body weight, BMI, post-operative weight loss, duration from surgery and duration of T2D. Detailed body composition assessed using magnetic resonance imaging, gut hormones, serum metabolomics, insulin sensitivity, and genetic risk scores for T2D and anthropometric traits were assessed. RESULTS Remitters had significantly greater β-cell function and circulating acyl ghrelin levels, but lower visceral adipose tissue (VAT): subcutaneous adipose tissue (SAT) ratio than non-remitters. Branched-chain amino acids (BCAAs) and VLDL particle size were the most discriminant metabolites between groups. A significant positive correlation between, VAT area, VAT:SAT ratio and circulating levels of BCAAs was observed, whereas a significant negative correlation between BCAAs and β-cell function was revealed. CONCLUSION We highlight a potentially novel relationship between VAT and BCAAs, which may play a role in glucoregulatory control. Improvement in β-cell function, and the role ghrelin plays in its recovery, is likely another key factor influencing T2D remission post-surgery. These findings suggest that adjunctive approaches that target VAT loss and restoration of BCAA metabolism might achieve higher rates of long-term T2D remission post-surgery.
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Affiliation(s)
- Kusuma Chaiyasoot
- Department of Medicine, Centre for Obesity Research, University College London, London, UK
- Division of Nutrition, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- The Siriraj Center of Research Excellence for Diabetes and Obesity (SiCORE-DO), Mahidol University, Bangkok, Thailand
| | | | - Roxanna Zakeri
- Department of Medicine, Centre for Obesity Research, University College London, London, UK
| | - Janine Makaronidis
- Department of Medicine, Centre for Obesity Research, University College London, London, UK
- National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Luís Crisóstomo
- Department of Immunophysiology and Pharmacology, ICBAS - School of Medicine and Biomedical Sciences, UMIB - Unit for Multidisciplinary Research in Biomedicine, University of Porto, Porto, Portugal
- ITR - Laboratory for Integrative and Translational Research in Population Health, Porto, Portugal
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Marco G Alves
- Department of Immunophysiology and Pharmacology, ICBAS - School of Medicine and Biomedical Sciences, UMIB - Unit for Multidisciplinary Research in Biomedicine, University of Porto, Porto, Portugal
- ITR - Laboratory for Integrative and Translational Research in Population Health, Porto, Portugal
| | - Wei Gan
- Genetics Department, Novo Nordisk Research Centre Oxford, Innovation Building, Old Road Campus, Headington, OX37LQ, UK
| | - Chloe Firman
- Department of Medicine, Centre for Obesity Research, University College London, London, UK
| | - Friedrich C Jassil
- Department of Medicine, Centre for Obesity Research, University College London, London, UK
| | - Margaret A Hall-Craggs
- UCL Centre for Medical Imaging, London, UK
- National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Stuart A Taylor
- UCL Centre for Medical Imaging, London, UK
- National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Rachel L Batterham
- Department of Medicine, Centre for Obesity Research, University College London, London, UK.
- National Institute of Health Research, University College London Hospitals Biomedical Research Centre, London, UK.
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Mangogna A, Di Girolamo FG, Fiotti N, Vinci P, Landolfo M, Mearelli F, Biolo G. High-protein diet with excess leucine prevents inactivity-induced insulin resistance in women. Clin Nutr 2023; 42:2578-2587. [PMID: 37972527 DOI: 10.1016/j.clnu.2023.10.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 09/18/2023] [Accepted: 10/29/2023] [Indexed: 11/19/2023]
Abstract
BACKGROUND AND AIMS Muscle inactivity leads to muscle atrophy and insulin resistance. The branched-chain amino acid (BCAA) leucine interacts with the insulin signaling pathway to modulate glucose metabolism. We have tested the ability of a high-protein BCAA-enriched diet to prevent insulin resistance during long-term bed rest (BR). METHODS Stable isotopes were infused to determine glucose and protein kinetics in the postabsorptive state and during a hyperinsulinemic-euglycemic clamp in combination with amino acid infusion (Clamp + AA) before and at the end of 60 days of BR in two groups of healthy, young women receiving eucaloric diets containing 1 g of protein/kg per day (n = 8) or 1.45 g of protein/kg per day enriched with 0.15 g/kg per day of BCAAs (leucine/valine/isoleucine = 2/1/1) (n = 8). Body composition was determined by Dual X-ray Absorptiometry. RESULTS BR decreased lean body mass by 7.6 ± 0.3 % and 7.2 ± 0.8 % in the groups receiving conventional or high protein-BCAA diets, respectively. Fat mass was unchanged in both groups. At the end of BR, percent changes of insulin-mediated glucose uptake significantly (p = 0.01) decreased in the conventional diet group from 155 ± 23 % to 84 ± 10 % while did not change significantly in the high protein-BCAA diet group from 126 ± 20 % to 141 ± 27 % (BR effect, p = 0.32; BR/diet interaction, p = 0.01; Repeated Measures ANCOVA). In contrast, there were no BR/diet interactions on proteolysis and protein synthesis Clamp + AA changes in the conventional diet and the high protein-BCAA diet groups. CONCLUSION A high protein-BCAA enriched diet prevented inactivity-induced insulin resistance in healthy women.
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Affiliation(s)
- Alessandro Mangogna
- Institute for Maternal and Child Health, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Burlo Garofolo, Trieste, Italy
| | - Filippo Giorgio Di Girolamo
- Department of Medical Surgical and Health Sciences, Medical Clinic, Cattinara Hospital, University of Trieste, Trieste, Italy; Hospital Pharmacy, Cattinara Hospital, Azienda Sanitaria Universitaria Giuliano Isontina, Trieste, Italy
| | - Nicola Fiotti
- Department of Medical Surgical and Health Sciences, Medical Clinic, Cattinara Hospital, University of Trieste, Trieste, Italy
| | - Pierandrea Vinci
- Department of Medical Surgical and Health Sciences, Medical Clinic, Cattinara Hospital, University of Trieste, Trieste, Italy
| | - Matteo Landolfo
- Department of Medical Surgical and Health Sciences, Medical Clinic, Cattinara Hospital, University of Trieste, Trieste, Italy
| | - Filippo Mearelli
- Department of Medical Surgical and Health Sciences, Medical Clinic, Cattinara Hospital, University of Trieste, Trieste, Italy
| | - Gianni Biolo
- Department of Medical Surgical and Health Sciences, Medical Clinic, Cattinara Hospital, University of Trieste, Trieste, Italy.
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21
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Duerre DJ, Hansen JK, John S, Jen A, Carrillo N, Bui H, Bao Y, Fabregat M, Overmeyer K, Shishkova E, Keller MP, Anderson RA, Cryns VL, Attie AD, Coon JJ, Fan J, Galmozzi A. Heme biosynthesis regulates BCAA catabolism and thermogenesis in brown adipose tissue. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.28.568893. [PMID: 38076785 PMCID: PMC10705273 DOI: 10.1101/2023.11.28.568893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
With age, people tend to accumulate body fat and reduce energy expenditure 1 . Brown (BAT) and beige adipose tissue dissipate heat and increase energy expenditure via the activity of the uncoupling protein UCP1 and other thermogenic futile cycles 2,3 . The activity of brown and beige depots inversely correlates with BMI and age 4-11 , suggesting that promoting thermogenesis may be an effective approach for combating age-related metabolic disease 12-15 . Heme is an enzyme cofactor and signaling molecule that we recently showed to regulate BAT function 16 . Here, we show that heme biosynthesis is the primary contributor to intracellular heme levels in brown adipocytes. Inhibition of heme biosynthesis leads to mitochondrial dysfunction and reduction in UCP1. Although supplementing heme can restore mitochondrial function in heme-synthesis-deficient cells, the downregulation of UCP1 persists due to the accumulation of the heme precursors, particularly propionyl-CoA, which is a product of branched-chain amino acids (BCAA) catabolism. Cold exposure promotes BCAA uptake in BAT, and defects in BCAA catabolism in this tissue hinder thermogenesis 17 . However, BCAAs' contribution to the TCA cycle in BAT and WAT never exceeds 2% of total TCA flux 18 . Our work offers a way to integrate current literature by describing heme biosynthesis as an important metabolic sink for BCAAs.
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Mietus-Snyder M, Perak AM, Cheng S, Hayman LL, Haynes N, Meikle PJ, Shah SH, Suglia SF. Next Generation, Modifiable Cardiometabolic Biomarkers: Mitochondrial Adaptation and Metabolic Resilience: A Scientific Statement From the American Heart Association. Circulation 2023; 148:1827-1845. [PMID: 37902008 DOI: 10.1161/cir.0000000000001185] [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] [Indexed: 10/31/2023]
Abstract
Cardiometabolic risk is increasing in prevalence across the life span with disproportionate ramifications for youth at socioeconomic disadvantage. Established risk factors and associated disease progression are harder to reverse as they become entrenched over time; if current trends are unchecked, the consequences for individual and societal wellness will become untenable. Interrelated root causes of ectopic adiposity and insulin resistance are understood but identified late in the trajectory of systemic metabolic dysregulation when traditional cardiometabolic risk factors cross current diagnostic thresholds of disease. Thus, children at cardiometabolic risk are often exposed to suboptimal metabolism over years before they present with clinical symptoms, at which point life-long reliance on pharmacotherapy may only mitigate but not reverse the risk. Leading-edge indicators are needed to detect the earliest departure from healthy metabolism, so that targeted, primordial, and primary prevention of cardiometabolic risk is possible. Better understanding of biomarkers that reflect the earliest transitions to dysmetabolism, beginning in utero, ideally biomarkers that are also mechanistic/causal and modifiable, is critically needed. This scientific statement explores emerging biomarkers of cardiometabolic risk across rapidly evolving and interrelated "omic" fields of research (the epigenome, microbiome, metabolome, lipidome, and inflammasome). Connections in each domain to mitochondrial function are identified that may mediate the favorable responses of each of the omic biomarkers featured to a heart-healthy lifestyle, notably to nutritional interventions. Fuller implementation of evidence-based nutrition must address environmental and socioeconomic disparities that can either facilitate or impede response to therapy.
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Shastry A, Dunham-Snary K. Metabolomics and mitochondrial dysfunction in cardiometabolic disease. Life Sci 2023; 333:122137. [PMID: 37788764 DOI: 10.1016/j.lfs.2023.122137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/21/2023] [Accepted: 09/29/2023] [Indexed: 10/05/2023]
Abstract
Circulating metabolites are indicators of systemic metabolic dysfunction and can be detected through contemporary techniques in metabolomics. These metabolites are involved in numerous mitochondrial metabolic processes including glycolysis, fatty acid β-oxidation, and amino acid catabolism, and changes in the abundance of these metabolites is implicated in the pathogenesis of cardiometabolic diseases (CMDs). Epigenetic regulation and direct metabolite-protein interactions modulate metabolism, both within cells and in the circulation. Dysfunction of multiple mitochondrial components stemming from mitochondrial DNA mutations are implicated in disease pathogenesis. This review will summarize the current state of knowledge regarding: i) the interactions between metabolites found within the mitochondrial environment during CMDs, ii) various metabolites' effects on cellular and systemic function, iii) how harnessing the power of metabolomic analyses represents the next frontier of precision medicine, and iv) how these concepts integrate to expand the clinical potential for translational cardiometabolic medicine.
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Affiliation(s)
- Abhishek Shastry
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Kimberly Dunham-Snary
- Department of Medicine, Queen's University, Kingston, ON, Canada; Department of Biomedical & Molecular Sciences, Queen's University, Kingston, ON, Canada.
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Teymoori F, Ahmadirad H, Jahromi MK, Mokhtari E, Farhadnejad H, Mohammadzadeh M, Babrpanjeh M, Shahrokhtabar T, Jamshidi S, Mirmiran P. Serum branched amino acids and the risk of all-cause mortality: a meta-analysis and systematic review. Amino Acids 2023; 55:1475-1486. [PMID: 37725184 DOI: 10.1007/s00726-023-03329-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/29/2023] [Indexed: 09/21/2023]
Abstract
Recently, the serum levels of branched-chain amino acids (BCAAs) have been considered as an indicator to evaluate health status and predict chronic diseases risk. This systematic review and meta-analysis aimed to assess the relationship between Serum BCAAs and the risk of all-cause mortality. We carried out a comprehensive and systematic search in various important databases, including PubMed, Scopus, and Web of Science databases to find the relevant studies published up to October 2022 with no language, design, or time limitation. We extracted the reported hazard ratio (HR) with 95% confidence interval (CI) and odds ratio (OR) with 95%CI in cohorts and case-control studies, respectively, and computed the log HR or OR and its standard error. Then, we used the random-effects model with inverse variance weighting method for the present meta-analysis, to calculate the pooled effect size. Ten observational studies, including nine cohort studies and one case-control study, were included in the present meta-analysis. The number of participants ranges from 53 to 26,711, with an age range of 18-99 years. During 6 months to 24 years of follow-up, 3599 deaths were ascertained. The pooled results indicated that there was no significant association between serum BCAAs (RR: 1.17; 95% CI 0.85-1.60), isoleucine (RR: 1.41; 95%CI 0.92-2.17), leucine (RR: 1.13; 95% CI 0.94-1.36), and valine (RR: 1.02; 95%CI 0.86-1.22) and all-cause mortality. Also, there was significant heterogeneity between studies for serum BCAAs (I2 = 74.1% and P-heterogeneity = 0.021), isoleucine (I2 = 89.4% and P-heterogeneity < 0.001), leucine (I2 = 87.8% and P-heterogeneity < 0.001), and valine (I2 = 86.6% and P-heterogeneity < 0.001). Our results suggested that the serum BCAAs and its components, including isoleucine, leucine, and valine, were not associated with the risk of all-cause mortality.
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Affiliation(s)
- Farshad Teymoori
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Hamid Ahmadirad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Kazemi Jahromi
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Ebrahim Mokhtari
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Community Nutrition, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hossein Farhadnejad
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Milad Mohammadzadeh
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Babrpanjeh
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Tahere Shahrokhtabar
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sanaz Jamshidi
- Imam Ali Hospital, Shiraz University of Medical Sciences, Kazerun, Iran.
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Hendrix G, Lokhnygina Y, Ramaker M, Ilkayeva O, Muehlbauer M, Evans W, Rasbach L, Benjamin R, Freemark M, Gumus Balikcioglu P. Catabolism of fats and branched-chain amino acids in children with Type 1 diabetes: Association with glycaemic control and total daily insulin dose. Endocrinol Diabetes Metab 2023; 6:e448. [PMID: 37715520 PMCID: PMC10638627 DOI: 10.1002/edm2.448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 08/16/2023] [Accepted: 08/21/2023] [Indexed: 09/17/2023] Open
Abstract
OBJECTIVE Hyperglycaemia in Type 1 diabetes (T1D) results from an absolute insulin deficiency. However, insulin resistance (IR) may exacerbate glycaemic instability in T1D and contribute to long-term cardiovascular complications. We previously showed that IR in teenagers with obesity is associated with sex-dependent derangements in the catabolism of branched-chain amino acids (BCAA) and fatty acids. Here we hypothesized that byproducts of BCAA and fatty acid metabolism may serve as biomarkers or determinants of glycaemic control and IR in prepubertal or early pubertal children with T1D. METHODS Metabolites, hormones and cytokines from fasting blood samples were analysed in 28 children (15 females, 13 males; age 6-11 years) with T1D. Principal components analysis (PCA) and multiple linear regression models were used to correlate metabolites of interest with glycaemic control, total daily insulin dose (TDD, units/kg/d), adiponectin and the triglyceride (TG) to high-density lipoprotein (HDL) ratio. RESULTS Males and females were comparable in age, BMI-z, insulin sensitivity, glycaemic control, inflammatory markers, BCAAs and C2/C3/C5-acylcarnitines. The majority of components retained in PCA were related to fatty acid oxidation (FAO) and BCAA catabolism. HbA1c correlated positively with Factor 2 (acylcarnitines, incomplete FAO) and Factor 9 (fasting glucose). TDD correlated negatively with C3 and C5 and Factor 10 (BCAA catabolism) and positively with the ratio of C2 to C3 + C5 and Factor 9 (fasting glucose). CONCLUSIONS These findings suggest that glucose intolerance in prepubertal or early pubertal children with T1D is accompanied by incomplete FAO while TDD is associated with preferential catabolism of fats relative to amino acids.
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Affiliation(s)
- Grace Hendrix
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Yuliya Lokhnygina
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth CarolinaUSA
| | - Megan Ramaker
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
- Department of Medicine, Division of Endocrinology, Metabolism, and NutritionDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Michael Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
| | - William Evans
- University of California‐BerkeleyBerkeleyCaliforniaUSA
- Duke UniversityDurhamNorth CarolinaUSA
| | - Lisa Rasbach
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Robert Benjamin
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Michael Freemark
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
| | - Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and DiabetesDuke University Medical CenterDurhamNorth CarolinaUSA
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism CenterDuke University Medical CenterDurhamNorth CarolinaUSA
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26
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Liu Y, Wang D, Liu YP. Metabolite profiles of diabetes mellitus and response to intervention in anti-hyperglycemic drugs. Front Endocrinol (Lausanne) 2023; 14:1237934. [PMID: 38027178 PMCID: PMC10644798 DOI: 10.3389/fendo.2023.1237934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) has become a major health problem, threatening the quality of life of nearly 500 million patients worldwide. As a typical multifactorial metabolic disease, T2DM involves the changes and interactions of various metabolic pathways such as carbohydrates, amino acid, and lipids. It has been suggested that metabolites are not only the endpoints of upstream biochemical processes, but also play a critical role as regulators of disease progression. For example, excess free fatty acids can lead to reduced glucose utilization in skeletal muscle and induce insulin resistance; metabolism disorder of branched-chain amino acids contributes to the accumulation of toxic metabolic intermediates, and promotes the dysfunction of β-cell mitochondria, stress signal transduction, and apoptosis. In this paper, we discuss the role of metabolites in the pathogenesis of T2DM and their potential as biomarkers. Finally, we list the effects of anti-hyperglycemic drugs on serum/plasma metabolic profiles.
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Affiliation(s)
| | | | - Yi-Ping Liu
- Provincial University Key Laboratory of Sport and Health Science, School of Physical Education and Sport Sciences, Fujian Normal University, Fuzhou, China
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Bugajska J, Berska J, Wójcik M, Sztefko K. Amino acid profile in overweight and obese prepubertal children - can simple biochemical tests help in the early prevention of associated comorbidities? Front Endocrinol (Lausanne) 2023; 14:1274011. [PMID: 37964971 PMCID: PMC10641253 DOI: 10.3389/fendo.2023.1274011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 09/27/2023] [Indexed: 11/16/2023] Open
Abstract
Background It is accepted that plasma branched-chain amino acids (BCAAs) and aromatic amino acids (AAAs) are closely related to metabolic risk. Arterial hypertension, metabolic syndrome, endothelial dysfunction, inflammation, and metabolic dysfunction-associated fatty liver disease (MAFLD) are frequently seen in obese patients. Many attempts have been made to find biochemical indicators for the early detection of metabolic complications in children. It is not known if different amino acid profiles and BCAA and AA concentrations in overweight and obese children correlate with chemerin, proinflammatory, and simple biochemical markers. Thus, the study aimed to find out the early markers of cardiovascular disease and MAFLD in overweight and obese children. Materials and methods The study included 20 overweight and obese children (M/F 12/8; mean age 7.7 ± 2.3 years; BMI 26.8 ± 5.0 kg/m2) and 12 non-obese children (control group) (M/F 4/8; mean age 6.5 ± 2.2 years; BMI 14.8 ± 1.5 kg/m2). The following plasma amino acids were measured: aspartic acid, glutamic acid, serine, asparagine, glycine, glutamine, taurine, histidine, citrulline, threonine, alanine, arginine, proline, tyrosine, methionine, valine, isoleucine, leucine, phenylalanine, tryptophan, ornithine, and lysine. Chemerin, high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), and basic biochemistry parameters were measured. Results The mean plasma levels of leucine, isoleucine, valine, phenylalanine, tyrosine, glutamic acid, and alanine were significantly higher in overweight and obese children than in the control group (p<0.03-p<0.0004). Conversely, the mean values of serine, asparagine, glutamine, and citrulline were significantly lower in overweight and obese children than in the control group (p<0.03-p<0.0007). Isoleucine, leucine, valine (BCAAs) tyrosine, and phenylalanine (AAAs) levels showed a positive correlation with uric acid, ALT, hs-CRP, and chemerin (r=0.80-0.36; p<0.05-p<0.00001), but not with IL-6. The mean values of glucose, IL-6, hs-CRP, chemerin, uric acid, and ALT were significantly higher in overweight and obese children than in the control group (p<0.03-p<0.00002). In contrast, the lipid profile did not differ between groups. Conclusion An abnormal amino acid profile in overweight and obese pre-pubertal children, accompanied by elevated ALT and UA observed in the studied cohort, may suggest early metabolic disturbances that can potentially lead to metabolic syndrome, or MAFLD, and increased cardiovascular risk.
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Affiliation(s)
- Jolanta Bugajska
- Department of Clinical Biochemistry, Institute of Pediatrics, Jagiellonian University Medical College, Krakow, Poland
| | - Joanna Berska
- Department of Clinical Biochemistry, Institute of Pediatrics, Jagiellonian University Medical College, Krakow, Poland
| | - Małgorzata Wójcik
- Department of Pediatric and Adolescent Endocrinology, Institute of Pediatrics, Jagiellonian University Medical College, Krakow, Poland
| | - Krystyna Sztefko
- Department of Clinical Biochemistry, Institute of Pediatrics, Jagiellonian University Medical College, Krakow, Poland
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Tosur M, Hsu JW, Deen S, Huang X, Guffey D, Uysal S, Astudillo M, Redondo MJ, Jahoor F, Balasubramanyam A. Plasma amino acid signatures define types of pediatric diabetes. Clin Nutr ESPEN 2023; 57:21-28. [PMID: 37739658 PMCID: PMC10518839 DOI: 10.1016/j.clnesp.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 09/24/2023]
Abstract
BACKGROUND & AIMS Metabolic biomarkers with pathophysiological relevance is lacking in pediatric diabetes. We aimed to identify novel metabolic biomarkers in pediatric type 1 (T1D) and type 2 diabetes (T2D). We hypothesized that (1) targeted plasma metabolomics, focused on plasma amino acid concentrations, could identify distinctively altered patterns in children with T1D or T2D, and (2) there are specific changes in concentrations of metabolites related to branch chain amino acids (BCAA) and arginine metabolism in children with T2D. METHODS In a pilot study, we enrolled children with T1D (n = 15) and T2D (n = 13), and healthy controls (n = 15). Fasting plasma amino acid concentrations were measured by ultra-performance liquid chromatography, and compared between the groups after adjustment for confounding factors. RESULTS The mean age (SD) of participants was 16.4 (0.9) years. There were no group differences in age, gender, race/ethnicity, or 24-h protein intake. Mean BMI percentile was higher in the T2D than the T1D group or controls (p < 0.001). The T2D group had lower arginine, citrulline, glutamine, glycine, phenylalanine, methionine, threonine, asparagine and symmetric dimethylarginine (SDMA) but higher aspartate than controls, after adjusting for BMI percentiles (all p < 0.05). Children with T2D also had lower glycine but higher ornithine, proline, leucine, isoleucine, valine, total BCAA, lysine and tyrosine than those with T1D after adjusting for confounding factors (all p < 0.05). Children with T1D had lower phenylalanine, methionine, threonine, glutamine, tyrosine, asymmetric dimethylarginine (ADMA) and SDMA than controls (all p < 0.05). CONCLUSIONS Children with T2D and T1D have distinct fasting plasma amino acid signatures that suggest varying pathogenic mechanisms and could serve as biomarkers for these conditions.
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Affiliation(s)
- Mustafa Tosur
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA; Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Houston, TX, USA.
| | - Jean W Hsu
- Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Houston, TX, USA; Department of Pediatrics - Nutrition, Baylor College of Medicine, Houston, TX, USA
| | - Saima Deen
- Department of Pediatrics, Research Resources Office, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA
| | - Xiaofan Huang
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Danielle Guffey
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA
| | - Serife Uysal
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Marcela Astudillo
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Maria J Redondo
- Department of Pediatrics, Division of Diabetes and Endocrinology, Baylor College of Medicine, Texas Children's Hospital, Houston, TX, USA
| | - Farook Jahoor
- Children's Nutrition Research Center, Agricultural Research Service, U.S. Department of Agriculture, Houston, TX, USA; Department of Pediatrics - Nutrition, Baylor College of Medicine, Houston, TX, USA
| | - Ashok Balasubramanyam
- Division of Diabetes, Endocrinology and Metabolism, Baylor College of Medicine, Houston, TX, USA.
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Ding Y, Wang S, Lu J. Unlocking the Potential: Amino Acids' Role in Predicting and Exploring Therapeutic Avenues for Type 2 Diabetes Mellitus. Metabolites 2023; 13:1017. [PMID: 37755297 PMCID: PMC10535527 DOI: 10.3390/metabo13091017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/08/2023] [Accepted: 09/13/2023] [Indexed: 09/28/2023] Open
Abstract
Diabetes mellitus, particularly type 2 diabetes mellitus (T2DM), imposes a significant global burden with adverse clinical outcomes and escalating healthcare expenditures. Early identification of biomarkers can facilitate better screening, earlier diagnosis, and the prevention of diabetes. However, current clinical predictors often fail to detect abnormalities during the prediabetic state. Emerging studies have identified specific amino acids as potential biomarkers for predicting the onset and progression of diabetes. Understanding the underlying pathophysiological mechanisms can offer valuable insights into disease prevention and therapeutic interventions. This review provides a comprehensive summary of evidence supporting the use of amino acids and metabolites as clinical biomarkers for insulin resistance and diabetes. We discuss promising combinations of amino acids, including branched-chain amino acids, aromatic amino acids, glycine, asparagine and aspartate, in the prediction of T2DM. Furthermore, we delve into the mechanisms involving various signaling pathways and the metabolism underlying the role of amino acids in disease development. Finally, we highlight the potential of targeting predictive amino acids for preventive and therapeutic interventions, aiming to inspire further clinical investigations and mitigate the progression of T2DM, particularly in the prediabetic stage.
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Affiliation(s)
- Yilan Ding
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.D.); (S.W.)
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.D.); (S.W.)
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; (Y.D.); (S.W.)
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Becetti I, Lauze M, Lee H, Bredella MA, Misra M, Singhal V. Changes in Branched-Chain Amino Acids One Year after Sleeve Gastrectomy in Youth with Obesity and Their Association with Changes in Insulin Resistance. Nutrients 2023; 15:3801. [PMID: 37686833 PMCID: PMC10489782 DOI: 10.3390/nu15173801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
Adults with obesity have a reduction in branched-chain amino acid (BCAA) levels following metabolic and bariatric surgery (MBS), which is hypothesized to contribute to the metabolic advantages of MBS. We examined this relationship in 62 youth 13-24 years old with severe obesity (47 female) over 12 months. Thirty had sleeve gastrectomy (SG) and 32 were non-surgical controls (NS). We measured fasting insulin, glucose, glycated hemoglobin (HbA1c), isoleucine, leucine, and valine concentrations, and post-prandial insulin and glucose, following a mixed meal tolerance test. Twenty-four-hour food recalls were collected. At baseline, groups did not differ in the intake or the serum levels of BCAAs, HbA1C, HOMA-IR, Matsuda index, insulinogenic index, or oral Disposition index (oDI). Over 12 months, SG vs. NS had greater reductions in serum BCAAs, and SG had significant reductions in BCAA intake. SG vs. NS had greater reductions in HbA1c and HOMA-IR, with increases in the Matsuda index and oDI. In SG, baseline leucine and total BCAA concentrations were negatively correlated with the baseline Matsuda index. Reductions in serum leucine were positively associated with the reductions in HOMA-IR over 12 months. These associations suggest a potential role of BCAA in regulating metabolic health. Reducing dietary intake and serum BCAA concentrations may reduce insulin resistance.
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Affiliation(s)
- Imen Becetti
- Division of Pediatric Endocrinology, Mass General for Children and Harvard Medical School, Boston, MA 02114, USA; (M.M.); (V.S.)
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Meghan Lauze
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Hang Lee
- Biostatistics Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Miriam A. Bredella
- Department of Radiology, Musculoskeletal Imaging and Interventions, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Madhusmita Misra
- Division of Pediatric Endocrinology, Mass General for Children and Harvard Medical School, Boston, MA 02114, USA; (M.M.); (V.S.)
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Vibha Singhal
- Division of Pediatric Endocrinology, Mass General for Children and Harvard Medical School, Boston, MA 02114, USA; (M.M.); (V.S.)
- Neuroendocrine Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Pediatric Program, MGH Weight Center, Massachusetts General Hospital, Boston, MA 02114, USA
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31
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India Aldana S, Valvi D, Joshi A, Lucchini RG, Placidi D, Petrick L, Horton M, Niedzwiecki M, Colicino E. Salivary Metabolomic Signatures and Body Mass Index in Italian Adolescents: A Pilot Study. J Endocr Soc 2023; 7:bvad091. [PMID: 37457847 PMCID: PMC10341611 DOI: 10.1210/jendso/bvad091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Indexed: 07/18/2023] Open
Abstract
Context Obesity surveillance is scarce in adolescents, and little is known on whether salivary metabolomics data, emerging minimally invasive biomarkers, can characterize metabolic patterns associated with overweight or obesity in adolescents. Objective This pilot study aims to identify the salivary molecular signatures associated with body mass index (BMI) in Italian adolescents. Methods Saliva samples and BMI were collected in a subset of n = 74 young adolescents enrolled in the Public Health Impact of Metal Exposure study (2007-2014). A total of 217 untargeted metabolites were identified using liquid chromatography-high resolution mass spectrometry. Robust linear regression was used to cross-sectionally determine associations between metabolomic signatures and sex-specific BMI-for-age z-scores (z-BMI). Results Nearly 35% of the adolescents (median age: 12 years; 51% females) were either obese or overweight. A higher z-BMI was observed in males compared to females (P = .02). One nucleoside (deoxyadenosine) and 2 lipids (18:0-18:2 phosphatidylcholine and dipalmitoyl-phosphoethanolamine) were negatively related to z-BMI (P < .05), whereas 2 benzenoids (3-hydroxyanthranilic acid and a phthalate metabolite) were positively associated with z-BMI (P < .05). In males, several metabolites including deoxyadenosine, as well as deoxycarnitine, hyodeoxycholic acid, N-methylglutamic acid, bisphenol P, and trigonelline were downregulated, while 3 metabolites (3-hydroxyanthranilic acid, theobromine/theophylline/paraxanthine, and alanine) were upregulated in relation to z-BMI (P < .05). In females, deoxyadenosine and dipalmitoyl-phosphoethanolamine were negatively associated with z-BMI while deoxycarnitine and a phthalate metabolite were positively associated (P < .05). A single energy-related pathway was enriched in the identified associations in females (carnitine synthesis, P = .04). Conclusion Salivary metabolites involved in nucleotide, lipid, and energy metabolism were primarily altered in relation to BMI in adolescents.
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Affiliation(s)
- Sandra India Aldana
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Anu Joshi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Roberto G Lucchini
- Department of Medical Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25121 Brescia, Italy
- Department of Environmental Health Sciences, School of Public Health, Florida International University, Miami, FL 33199, USA
| | - Donatella Placidi
- Department of Medical Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, 25121 Brescia, Italy
| | - Lauren Petrick
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Megan Horton
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Megan Niedzwiecki
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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Singh B, Khan AA, Anamika F, Munjal R, Munjal J, Jain R. Red Meat Consumption and its Relationship With Cardiovascular Health: A Review of Pathophysiology and Literature. Cardiol Rev 2023; Publish Ahead of Print:00045415-990000000-00117. [PMID: 37363999 DOI: 10.1097/crd.0000000000000575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Red meat is the muscle meat of mammals like beef, lamb, and pork that is red due to the abundance of myoglobin pigment and becomes even darker when cooked. The global average per capita consumption of meat and the total amount of meat consumed is rising, and there has been a particularly marked increase in the global consumption of chicken and pork. The consumption of red meat has always been a contentious issue, with data suggesting benefits in terms of nutritional value and at the same time linking its consumption to major health disorders such as endocrine abnormalities, gastrointestinal issues, cancers, and cardiovascular diseases (CVDs). Despite being normalized by major food franchises, red meat consumption may lead to adverse cardiovascular outcomes such as atherosclerosis, ischemic heart disease, stroke, and cardiac failure. Given the evidence that indicates the consumption of red and processed meat as a risk factor for cardiovascular diseases and all-cause mortality, it is important to review the effects of red meat on the risk of cardiovascular diseases.
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Affiliation(s)
- Bhupinder Singh
- From the Internal Medicine, Government Medical College, Amritsar, India
| | - Abdul Allam Khan
- Department of Non invasive cardiology, Fortis Escorts Heart Institute and Research Center, New Delhi, India
| | - Fnu Anamika
- Internal Medicine, University College of Medical Sciences, New Delhi, India
| | - Ripudaman Munjal
- Nephrology, Touro University College of Osteopathic Medicine, Vallejo, CA
| | - Jaskaran Munjal
- Internal Medicine, Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, Uttar Pradesh, India
| | - Rohit Jain
- Internal Medicine, Penn State Hershey Medical Center, Hershey, PA
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Abstract
Cardiometabolic diseases, including cardiovascular disease and diabetes, are major causes of morbidity and mortality worldwide. Despite progress in prevention and treatment, recent trends show a stalling in the reduction of cardiovascular disease morbidity and mortality, paralleled by increasing rates of cardiometabolic disease risk factors in young adults, underscoring the importance of risk assessments in this population. This review highlights the evidence for molecular biomarkers for early risk assessment in young individuals. We examine the utility of traditional biomarkers in young individuals and discuss novel, nontraditional biomarkers specific to pathways contributing to early cardiometabolic disease risk. Additionally, we explore emerging omic technologies and analytical approaches that could enhance risk assessment for cardiometabolic disease.
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Affiliation(s)
- Usman A Tahir
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School
| | - Robert E Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School
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Rafiq T, Stearns JC, Shanmuganathan M, Azab SM, Anand SS, Thabane L, Beyene J, Williams NC, Morrison KM, Teo KK, Britz-McKibbin P, de Souza RJ. Integrative multiomics analysis of infant gut microbiome and serum metabolome reveals key molecular biomarkers of early onset childhood obesity. Heliyon 2023; 9:e16651. [PMID: 37332914 PMCID: PMC10272340 DOI: 10.1016/j.heliyon.2023.e16651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/17/2023] [Accepted: 05/23/2023] [Indexed: 06/20/2023] Open
Abstract
Evidence supports a complex interplay of gut microbiome and host metabolism as regulators of obesity. The metabolic phenotype and microbial metabolism of host diet may also contribute to greater obesity risk in children early in life. This study aimed to identify features that discriminated overweight/obese from normal weight infants by integrating gut microbiome and serum metabolome profiles. This prospective analysis included 50 South Asian children living in Canada, selected from the SouTh Asian biRth cohorT (START). Serum metabolites were measured by multisegment injection-capillary electrophoresis-mass spectrometry and the relative abundance of bacterial 16S rRNA gene amplicon sequence variant was evaluated at 1 year. Cumulative body mass index (BMIAUC) and skinfold thickness (SSFAUC) scores were calculated from birth to 3 years as the total area under the growth curve (AUC). BMIAUC and/or SSFAUC >85th percentile was used to define overweight/obesity. Data Integration Analysis for Biomarker discovery using Latent cOmponent (DIABLO) was used to identify discriminant features associated with childhood overweight/obesity. The associations between identified features and anthropometric measures were examined using logistic regression. Circulating metabolites including glutamic acid, acetylcarnitine, carnitine, and threonine were positively, whereas γ-aminobutyric acid (GABA), symmetric dimethylarginine (SDMA), and asymmetric dimethylarginine (ADMA) were negatively associated with childhood overweight/obesity. The abundance of the Pseudobutyrivibrio and Lactobacillus genera were positively, and Clostridium sensu stricto 1 and Akkermansia were negatively associated with childhood overweight/obesity. Integrative analysis revealed that Akkermansia was positively whereas Lactobacillus was inversely correlated with GABA and SDMA, and Pseudobutyrivibrio was inversely correlated with GABA. This study provides insights into metabolic and microbial signatures which may regulate satiety, energy metabolism, inflammatory processes, and/or gut barrier function, and therefore, obesity trajectories in childhood. Understanding the functional capacity of these molecular features and potentially modifiable risk factors such as dietary exposures early in life may offer a novel approach for preventing childhood obesity.
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Affiliation(s)
- Talha Rafiq
- Medical Sciences Graduate Program, Faculty of Health Sciences, McMaster University, Hamilton, ON L8S 4L8, Canada
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
| | - Jennifer C. Stearns
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Farncombe Family Digestive Health Research Institute, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Meera Shanmuganathan
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada
| | - Sandi M. Azab
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Pharmacognosy, Alexandria University, Alexandria 21521, Egypt
| | - Sonia S. Anand
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Lehana Thabane
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
- Biostatistics Unit, Father Sean O’Sullivan Research Centre, The Research Institute, St Joseph’s Healthcare Hamilton, Hamilton, ON L8N 4A6, Canada
- Faculty of Health Sciences, University of Johannesburg, Johannesburg 524, South Africa
| | - Joseph Beyene
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | | | - Katherine M. Morrison
- Department of Pediatrics, McMaster University, Hamilton, ON L8S 4L8, Canada
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON L8S 4K1, Canada
| | - Koon K. Teo
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
- Department of Medicine, McMaster University, Hamilton, ON L8S 4L8, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
| | - Philip Britz-McKibbin
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON L8S 4M1, Canada
| | - Russell J. de Souza
- Population Health Research Institute, Hamilton Health Sciences, McMaster University, Hamilton, ON L8L 2X2, Canada
- Department of Health Research Methods, Evidence & Impact, McMaster University, Hamilton, ON L8S 4L8, Canada
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Zhang P, Zhang D, Lai J, Fu Y, Wu L, Huang H, Pan Y, Jiang J, Xi C, Che Z, Song X, Hu S. Characteristics of the gut microbiota in bipolar depressive disorder patients with distinct weight. CNS Neurosci Ther 2023; 29 Suppl 1:74-83. [PMID: 36604186 PMCID: PMC10314097 DOI: 10.1111/cns.14078] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 11/25/2022] [Accepted: 12/17/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Preliminary studies have indicated metabolic dysfunction and gut dysbiosis in patients with bipolar disorder (BD). In this study, we aimed to clarify the impact of the gut microbial composition and function on metabolic dysfunction in BD patients with an acute depressive episode. METHODS Fresh fecal samples were provided from 58 patients with BD depression, including 29 with normal weight (NW) and 29 with overweight/obesity (OW), and 31 healthy controls (HCs). The hypervariable region of 16 S rRNA gene (V3-V4) sequencing was performed using IonS5TMXL platform to evaluate the bacterial communities. Differences of microbial community and correlation to clinical parameters across different groups were analyzed. RESULTS Compared to NW and HCs, the OW group showed a decreased tendency in alpha diversity index. Beta diversity was markedly different among these groups (PERMANOVA: R2 = 0.034, p = 0.01) and was higher in patients versus HCs. A total number of 24 taxa displayed significantly different abundance among OW, NW, and HCs. At the family level, the abundance of three taxa was remarkably increased in NW, one in OW, and one in HCs. At the genus level, five taxa were enriched in OW, eight in NW, and two in HCs. The relative abundance of the genera Megamonas was positively associated with BMI, while Eggerthella was negatively correlated with BMI. Functional prediction analysis revealed the metabolism of cofactors and vitamins and amino acid were highly enriched in OW compared to HCs. In addition, microbial functions involved in "lipid metabolism" were depleted while the "fructose and mannose metabolism" was enriched in OW compared to NW group. CONCLUSIONS Specific bacterial taxa involved in pathways regulating the lipid, energy, and amino acid metabolisms may underlie the weight concerns in depressed BD patients. Potential targeting gut microbial therapy is provided for overweight/obesity patients with BD, which still need further studies in the future.
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Affiliation(s)
- Peifen Zhang
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- The First Affiliated HospitalZhengzhou UniversityZhengzhouChina
| | - Danhua Zhang
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Jianbo Lai
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- The Key Laboratory of Mental Disorder's Management in Zhejiang ProvinceHangzhouChina
- Brain Research Institute of Zhejiang UniversityHangzhouChina
- MOE Frontier Science Center for Brain Science & Brain‐Machine IntegrationZhejiang University
| | - Yaoyang Fu
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Lingling Wu
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | | | - Yanmeng Pan
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Jiajun Jiang
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Caixi Xi
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
| | - Ziyuan Che
- College of Agriculture & BiotechnologyZhejiang UniversityHangzhouChina
| | - Xueqin Song
- The First Affiliated HospitalZhengzhou UniversityZhengzhouChina
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated HospitalZhejiang University School of MedicineHangzhouChina
- The Key Laboratory of Mental Disorder's Management in Zhejiang ProvinceHangzhouChina
- Brain Research Institute of Zhejiang UniversityHangzhouChina
- MOE Frontier Science Center for Brain Science & Brain‐Machine IntegrationZhejiang University
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Laue HE, Moroishi Y, Jackson BP, Palys TJ, Baker ER, Korrick SA, Madan JC, Karagas MR. Bacterial Modification of the Association Between Arsenic and Autism-Related Social Behavior Scores. EXPOSURE AND HEALTH 2023; 15:347-354. [PMID: 37840773 PMCID: PMC10569445 DOI: 10.1007/s12403-022-00494-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 10/17/2023]
Abstract
Arsenic is related to neurodevelopmental outcomes and is associated with the composition of the gut microbiome. Data on the modifying role of the microbiome are limited. We probed suggestive relationships between arsenic and social behaviors to quantify the modifying role of the infant gut microbiome. We followed children for whom arsenic concentrations were quantified in 6-week-old toenail clippings. Scores on the Social Responsiveness Scale (SRS-2), which measures autism-related social behaviors, were provided by caregivers when the child was approximately 3 years of age. Metagenomic sequencing was performed on infant stools collected at 6 weeks and 1 year of age. To evaluate modification by the top ten most abundant species and functional pathways, we modeled SRS-2 total T-scores as a function of arsenic concentrations, microbiome features dichotomized at their median, and an interaction between exposure and the microbiome, adjusting for other trace elements and sociodemographic characteristics. As compared to the standardized population (SRS-2 T-scores = 50), participants in our study had lower SRS-2 scores (n = 78, mean = 44, SD = 5).The relative abundances of several functional pathways identified in 6-week stool samples modified the arsenic-SRS-2 association, including the pathways of valine and isoleucine biosynthesis; we observed no association among those with high relative abundance of each pathway [β = - 0.67 (95% CI - 1.46, 0.12)], and an adverse association [β = 1.67 (95% CI 0.3, 3.04), pinteraction= 0.05] among infants with low relative abundance. Our findings indicate the infant gut microbiome may alter neurodevelopmental susceptibility to environmental exposures.
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Affiliation(s)
- Hannah E. Laue
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- One Medical Center Dr, WTRB 700, Lebanon, NH 03766, USA
| | - Yuka Moroishi
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Brian P. Jackson
- Department of Earth Sciences, Dartmouth College, Hanover, NH, USA
| | - Thomas J. Palys
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Emily R. Baker
- Department of Obstetrics and Gynecology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, USA
| | - Susan A. Korrick
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Juliette C. Madan
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Division of Neonatology, Department of Pediatrics, Children’s Hospital at Dartmouth, Hanover, NH, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
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Puljiz Z, Kumric M, Vrdoljak J, Martinovic D, Ticinovic Kurir T, Krnic MO, Urlic H, Puljiz Z, Zucko J, Dumanic P, Mikolasevic I, Bozic J. Obesity, Gut Microbiota, and Metabolome: From Pathophysiology to Nutritional Interventions. Nutrients 2023; 15:nu15102236. [PMID: 37242119 DOI: 10.3390/nu15102236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/29/2023] [Accepted: 05/07/2023] [Indexed: 05/28/2023] Open
Abstract
Obesity is a disorder identified by an inappropriate increase in weight in relation to height and is considered by many international health institutions to be a major pandemic of the 21st century. The gut microbial ecosystem impacts obesity in multiple ways that yield downstream metabolic consequences, such as affecting systemic inflammation, immune response, and energy harvest, but also the gut-host interface. Metabolomics, a systematized study of low-molecular-weight molecules that take part in metabolic pathways, represents a serviceable method for elucidation of the crosstalk between hosts' metabolism and gut microbiota. In the present review, we confer about clinical and preclinical studies exploring the association of obesity and related metabolic disorders with various gut microbiome profiles, and the effects of several dietary interventions on gut microbiome composition and the metabolome. It is well established that various nutritional interventions may serve as an efficient therapeutic approach to support weight loss in obese individuals, yet no agreement exists in regard to the most effective dietary protocol, both in the short and long term. However, metabolite profiling and the gut microbiota composition might represent an opportunity to methodically establish predictors for obesity control that are relatively simple to measure in comparison to traditional approaches, and it may also present a tool to determine the optimal nutritional intervention to ameliorate obesity in an individual. Nevertheless, a lack of adequately powered randomized trials impedes the application of observations to clinical practice.
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Affiliation(s)
- Zivana Puljiz
- Laboratory for Bioinformatics, Faculty of Food Technology and Biotechnology, University of Zagreb, 10000 Zagreb, Croatia
| | - Marko Kumric
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Josip Vrdoljak
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Dinko Martinovic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Tina Ticinovic Kurir
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Hospital of Split, 21000 Split, Croatia
| | - Marin Ozren Krnic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Hrvoje Urlic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
| | - Zeljko Puljiz
- Department of Internal Medicine, University of Split School of Medicine, 21000 Split, Croatia
- Department of Gastroenterology and Hepatology, University Hospital of Split, 21000 Split, Croatia
| | - Jurica Zucko
- Laboratory for Bioinformatics, Faculty of Food Technology and Biotechnology, University of Zagreb, 10000 Zagreb, Croatia
| | - Petra Dumanic
- Medical Laboratory Diagnostic Division, University Hospital of Split, 21000 Split, Croatia
| | - Ivana Mikolasevic
- Department of Gastroenterology and Hepatology, University Hospital Centre Rijeka, School of Medicine, University of Rijeka, 51000 Rijeka, Croatia
| | - Josko Bozic
- Department of Pathophysiology, University of Split School of Medicine, 21000 Split, Croatia
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Liu R, Zhang L, You H. Insulin Resistance and Impaired Branched-Chain Amino Acid Metabolism in Alzheimer's Disease. J Alzheimers Dis 2023:JAD221147. [PMID: 37125547 DOI: 10.3233/jad-221147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
The pathogenesis of Alzheimer's disease (AD) is complicated and involves multiple contributing factors. Mounting evidence supports the concept that AD is an age-related metabolic neurodegenerative disease mediated in part by brain insulin resistance, and sharing similar metabolic dysfunctions and brain pathological characteristics that occur in type 2 diabetes mellitus (T2DM) and other insulin resistance disorders. Brain insulin signal pathway is a major regulator of branched-chain amino acid (BCAA) metabolism. In the past several years, impaired BCAA metabolism has been described in several insulin resistant states such as obesity, T2DM and cardiovascular disease. Disrupted BCAA metabolism leading to elevation in circulating BCAAs and related metabolites is an early metabolic phenotype of insulin resistance and correlated with future onset of T2DM. Brain is a major site for BCAA metabolism. BCAAs play pivotal roles in normal brain function, especially in signal transduction, nitrogen homeostasis, and neurotransmitter cycling. Evidence from animal models and patients support the involvement of BCAA dysmetabolism in neurodegenerative diseases including Huntington's disease, Parkinson's disease, and maple syrup urine disease. More recently, growing studies have revealed altered BCAA metabolism in AD, but the relationship between them is poorly understood. This review is focused on the recent findings regarding BCAA metabolism and its role in AD. Moreover, we will explore how impaired BCAA metabolism influences brain function and participates in the pathogenesis of AD.
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Affiliation(s)
- Rui Liu
- Department of Public Health and Preventive Medicine, School of Medicine, Jianghan University, Wuhan, Hubei, China
| | - Lei Zhang
- Department of Chinese Medicine, School of Medicine, Jianghan University, Wuhan, Hubei, China
| | - Hao You
- Department of Public Health and Preventive Medicine, School of Medicine, Jianghan University, Wuhan, Hubei, China
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Muli S, Brachem C, Alexy U, Schmid M, Oluwagbemigun K, Nöthlings U. Exploring the association of physical activity with the plasma and urine metabolome in adolescents and young adults. Nutr Metab (Lond) 2023; 20:23. [PMID: 37020289 PMCID: PMC10074825 DOI: 10.1186/s12986-023-00742-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 03/29/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND Regular physical activity elicits many health benefits. However, the underlying molecular mechanisms through which physical activity influences overall health are less understood. Untargeted metabolomics enables system-wide mapping of molecular perturbations which may lend insights into physiological responses to regular physical activity. In this study, we investigated the associations of habitual physical activity with plasma and urine metabolome in adolescents and young adults. METHODS This cross-sectional study included participants from the DONALD (DOrtmund Nutritional and Anthropometric Longitudinally Designed) study with plasma samples n = 365 (median age: 18.4 (18.1, 25.0) years, 58% females) and 24 h urine samples n = 215 (median age: 18.1 (17.1, 18.2) years, 51% females). Habitual physical activity was assessed using a validated Adolescent Physical Activity Recall Questionnaire. Plasma and urine metabolite concentrations were determined using ultra-high-performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) methods. In a sex-stratified analysis, we conducted principal component analysis (PCA) to reduce the dimensionality of metabolite data and to create metabolite patterns. Multivariable linear regression models were then applied to assess the associations between self-reported physical activity (metabolic equivalent of task (MET)-hours per week) with single metabolites and metabolite patterns, adjusted for potential confounders and controlling the false discovery rate (FDR) at 5% for each set of regressions. RESULTS Habitual physical activity was positively associated with the "lipid, amino acids and xenometabolite" pattern in the plasma samples of male participants only (β = 1.02; 95% CI: 1.01, 1.04, p = 0.001, adjusted p = 0.042). In both sexes, no association of physical activity with single metabolites in plasma and urine and metabolite patterns in urine was found (all adjusted p > 0.05). CONCLUSIONS Our explorative study suggests that habitual physical activity is associated with alterations of a group of metabolites reflected in the plasma metabolite pattern in males. These perturbations may lend insights into some of underlying mechanisms that modulate effects of physical activity.
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Affiliation(s)
- Samuel Muli
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Friedrich-Hirzebruch- Allee 7, 53115, Bonn, Germany.
| | - Christian Brachem
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Friedrich-Hirzebruch- Allee 7, 53115, Bonn, Germany
| | - Ute Alexy
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Friedrich-Hirzebruch- Allee 7, 53115, Bonn, Germany
| | - Matthias Schmid
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany
| | - Kolade Oluwagbemigun
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Friedrich-Hirzebruch- Allee 7, 53115, Bonn, Germany
| | - Ute Nöthlings
- Nutritional Epidemiology, Department of Nutrition and Food Sciences, University of Bonn, Friedrich-Hirzebruch- Allee 7, 53115, Bonn, Germany
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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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Short-Term Decreasing and Increasing Dietary BCAA Have Similar, but Not Identical Effects on Lipid and Glucose Metabolism in Lean Mice. Int J Mol Sci 2023; 24:ijms24065401. [PMID: 36982473 PMCID: PMC10049642 DOI: 10.3390/ijms24065401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 12/31/2022] [Accepted: 02/05/2023] [Indexed: 03/16/2023] Open
Abstract
Branched-chain amino acids (BCAA) showed multiple functions in glycolipid metabolism and protein synthesis. However, the impacts on the metabolic health of low or high dietary BCAA remain controversial due to the various experimental conditions. Gradient levels of BCAA were supplemented in lean mice for four weeks: 0BCAA (without BCAA), 1/2BCAA (half BCAA), 1BCAA (regular BCAA), and 2BCAA (double BCAA). The results showed that the diet without BCAA caused energy metabolic disorders, immune defects, weight loss, hyperinsulinemia, and hyperleptinemia. 1/2BCAA and 2BCAA diets reduced body fat percentage, but 1/2 BCAA also decreased muscle mass. 1/2BCAA and 2BCAA groups improved lipid and glucose metabolism by affecting metabolic genes. Meanwhile, significant differences between low and high dietary BCAA were observed. The results of this study provide evidence and reference for the controversy about dietary BCAA levels, which indicates that the main difference between low and high BCAA dietary levels may present in the longer term.
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Childhood Obesity and the Cryptic Language of the Microbiota: Metabolomics’ Upgrading. Metabolites 2023; 13:metabo13030414. [PMID: 36984854 PMCID: PMC10052538 DOI: 10.3390/metabo13030414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 03/01/2023] [Accepted: 03/08/2023] [Indexed: 03/16/2023] Open
Abstract
The growing obesity epidemic in childhood is increasingly concerning for the related physical and psychological consequences, with a significant impact on health care costs in both the short and the long term. Nonetheless, the scientific community has not yet completely clarified the complex metabolic mechanisms underlying body weight alterations. In only a small percentage of cases, obesity is the result of endocrine, monogenic, or syndromic causes, while in much more cases, lifestyle plays a crucial role in obesity development. In this context, the pediatric age appears to be of considerable importance as prevention strategies together with early intervention can represent important therapeutic tools not only to counteract the comorbidities that increasingly affect children but also to hinder the persistence of obesity in adulthood. Although evidence in the literature supporting the alteration of the microbiota as a critical factor in the etiology of obesity is abundant, it is not yet fully defined and understood. However, increasingly clear evidence is emerging regarding the existence of differentiated metabolic profiles in obese children, with characteristic metabolites. The identification of specific pathology-related biomarkers and the elucidation of the altered metabolic pathways would therefore be desirable in order to clarify aspects that are still poorly understood, such as the consequences of the interaction between the host, the diet, and the microbiota. In fact, metabolomics can characterize the biological behavior of a specific individual in response to external stimuli, offering not only an eventual effective screening and prevention strategy but also the possibility of evaluating adherence and response to dietary intervention.
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Jiang X, Liu K, Jiang H, Yin H, Wang ED, Cheng H, Yuan F, Xiao F, Wang F, Lu W, Peng B, Shu Y, Li X, Chen S, Guo F. SLC7A14 imports GABA to lysosomes and impairs hepatic insulin sensitivity via inhibiting mTORC2. Cell Rep 2023; 42:111984. [PMID: 36640347 DOI: 10.1016/j.celrep.2022.111984] [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: 06/07/2022] [Revised: 10/11/2022] [Accepted: 12/22/2022] [Indexed: 01/12/2023] Open
Abstract
Lysosomal amino acid accumulation is implicated in several diseases, but its role in insulin resistance, the central mechanism to type 2 diabetes and many metabolic diseases, is unclear. In this study, we show the hepatic expression of lysosomal membrane protein solute carrier family 7 member 14 (SLC7A14) is increased in insulin-resistant mice. The promoting effect of SLC7A14 on insulin resistance is demonstrated by loss- and gain-of-function experiments. SLC7A14 is further demonstrated as a transporter resulting in the accumulation of lysosomal γ-aminobutyric acid (GABA), which induces insulin resistance via inhibiting mTOR complex 2 (mTORC2)'s activity. These results establish a causal link between lysosomal amino acids and insulin resistance and suggest that SLC7A14 inhibition may provide a therapeutic strategy in treating insulin resistance-related and GABA-related diseases and may provide insights into the upstream mechanisms for mTORC2, the master regulator in many important processes.
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Affiliation(s)
- Xiaoxue Jiang
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Kan Liu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Haizhou Jiang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hanrui Yin
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - En-Duo Wang
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Hong Cheng
- State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China
| | - Feixiang Yuan
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Fei Xiao
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Fenfen Wang
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wei Lu
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Bo Peng
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Yousheng Shu
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Xiaoying Li
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Shanghai Chen
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China
| | - Feifan Guo
- Zhongshan Hospital, State Key Laboratory of Medical Neurobiology, Institute for Translational Brain Research, MOE Frontiers Center for Brain Science, Fudan University, 131 Dong'an Road, Shanghai 200032, China; CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Innovation Center for Intervention of Chronic Disease and Promotion of Health, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
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Li B, Sun S, Li JJ, Yuan JP, Sun SR, Wu Q. Adipose tissue macrophages: implications for obesity-associated cancer. Mil Med Res 2023; 10:1. [PMID: 36593475 PMCID: PMC9809128 DOI: 10.1186/s40779-022-00437-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 12/12/2022] [Indexed: 01/04/2023] Open
Abstract
Obesity is one of the most serious global health problems, with an incidence that increases yearly and coincides with the development of cancer. Adipose tissue macrophages (ATMs) are particularly important in this context and contribute to linking obesity-related inflammation and tumor progression. However, the functions of ATMs on the progression of obesity-associated cancer remain unclear. In this review, we describe the origins, phenotypes, and functions of ATMs. Subsequently, we summarize the potential mechanisms on the reprogramming of ATMs in the obesity-associated microenvironment, including the direct exchange of dysfunctional metabolites, inordinate cytokines and other signaling mediators, transfer of extracellular vesicle cargo, and variations in the gut microbiota and its metabolites. A better understanding of the properties and functions of ATMs under conditions of obesity will lead to the development of new therapeutic interventions for obesity-related cancer.
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Affiliation(s)
- Bei Li
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Si Sun
- Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Juan-Juan Li
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Jing-Ping Yuan
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Sheng-Rong Sun
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China.
| | - Qi Wu
- Department of Breast and Thyroid Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, China. .,Tongji University Cancer Center, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Tongji University, Shanghai, 200092, China.
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Specific Alteration of Branched-Chain Amino Acid Profile in Polycystic Ovary Syndrome. Biomedicines 2023; 11:biomedicines11010108. [PMID: 36672616 PMCID: PMC9856032 DOI: 10.3390/biomedicines11010108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 12/09/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Polycystic ovary syndrome (PCOS) is one of the most common endocrinopathies in reproductive age women; it is a complex health issue with numerous comorbidities. Attention has recently been drawn to amino acids as they are molecules essential to maintain homeostasis. The aim of the study was to investigate the branch chain amino acid (BCAA) profile in women with PCOS. A total of 326 women, 208 diagnosed with PCOS and 118 healthy controls, participated in the study; all the patients were between 18 and 40 years old. Anthropometrical, biochemical and hormonal parameters were assessed. Gas-liquid chromatography combined with tandem mass spectrometry was used to investigate BCAA levels. Statistical analysis showed significantly higher plasma levels of BCAAs (540.59 ± 97.23 nmol/mL vs. 501.09 ± 85.33 nmol/mL; p < 0.001) in women with PCOS. Significant correlations (p < 0.05) were found between BCAA and BMI, HOMA-IR, waist circumference and total testosterone levels. In the analysis of individuals with abdominal obesity, there were significant differences between PCOS and controls in BCAA (558.13 ± 100.51 vs. 514.22 ± 79.76 nmol/mL) and the concentrations of all the analyzed amino acids were higher in the PCOS patients. Hyperandrogenemia in PCOS patients was associated with significantly higher leucine, isoleucine and total BCAA levels. The increase of BCAA levels among PCOS patients in comparison to healthy controls might be an early sign of metabolic alteration and a predictive factor for other disturbances.
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Adiposity and insulin resistance mediate the inverse association between legume intake and blood pressure: a cross-sectional analysis in secondary cardiovascular prevention. Br J Nutr 2022; 128:2353-2362. [PMID: 34937583 DOI: 10.1017/s0007114521005018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
This study aimed to evaluate the association between legume intake and blood pressure, as well as the mediating role of cardiometabolic risk factors in patients in secondary cardiovascular prevention. Socio-demographic, anthropometric, clinical and food intake data were collected from the baseline of the multicentre study Brazilian Cardioprotective Nutritional Program Trial - BALANCE (RCT: NCT01620398). The relationships between variables were explored through path analysis. In total, 2247 individuals with a median age of 63·0 (45-91) years, 58·8 % (n 1321) male and 96·5 % (n 2168) with diagnosis of hypertension were included. Negative associations were observed between histidine intake and systolic blood pressure (SBP) (standardised coefficient (SC) = -0·057; P = 0·012) and between legume intake and BMI (SC = -0·061; P = 0·006). BMI was positively associated with triglycerides-glucose (TyG) index (SC = 0·173; P < 0·001), SBP (SC = 0·144; P < 0·001) and diastolic blood pressure (DBP) (SC = 0·177; P < 0·001), and TyG index was positively associated with DBP (SC = 0·079; P = 0·001). A negative indirect effect was observed between the intake of legumes, SBP and DBP, mediated by BMI (SC = -0·009; P = 0·011; SC = -0·011; P = 0·010, respectively). In addition, an indirect negative effect was found between the intake of legumes and the DBP, mediated simultaneously by BMI and TyG index (SC = -0·001; P = 0·037). In conclusion, legume intake presented a negative indirect association with blood pressure, mediated by insulin resistance (TyG) and adiposity (BMI) in individuals of secondary care in cardiology.
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He R, Zheng R, Zheng J, Li M, Wang T, Zhao Z, Wang S, Lin H, Lu J, Chen Y, Xu Y, Wang W, Xu M, Bi Y, Ning G. Causal association between obesity, circulating glutamine levels, and depression: a Mendelian randomization study. J Clin Endocrinol Metab 2022; 108:1432-1441. [PMID: 36510667 DOI: 10.1210/clinem/dgac707] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/02/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Observational studies indicated obesity and glutamatergic dysfunction as potential risk factors of depression, and reported disturbance of glutamine metabolism in obese state. However, it remains unclear whether the inter-relationships between obesity, glutamine and depression are causal. METHODS We conducted two-sample bidirectional Mendelian Randomization (MR) analyses to explore the causalities between circulating glutamine levels, specific depressive symptoms, major depressive disorder (MDD) and body mass index (BMI). Univariable MR, multivariable MR (MVMR) and linkage disequilibrium score regression (LDSR) analyses were performed. RESULTS Genetic downregulation of glutamine was causally associated with MDD, anhedonia, tiredness, and depressed mood at the false discovery rate (FDR)-controlled significance level (estimate, -0·036∼ -0·013, P = 0·005 to P = 0·050). Elevated BMI was causally linked to lower glutamine level (estimate = -0·103, P = 0·037), as well as more severe depressed mood, tiredness, and anhedonia (estimate, 0·017∼0·050, P < 0·001 to P = 0·040). In MVMR analysis, BMI was causally related to depressed mood dependently of glutamine levels. Reversely, it showed limited evidence supporting causal effects of depression on glutamine levels or BMI, except a causal association of tiredness with elevated BMI (estimate = 0·309, P = 0·003). LDSR estimates were directionally consistent with MR results. CONCLUSION The present study reported that higher BMI was causally associated with lower glutamine levels. Both obesity and down-regulation of glutamine were causally linked to depression.
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Affiliation(s)
- Ruixin He
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Fiore G, Magenes VC, DI Profio E, Milanta C, Calcaterra V, Diamanti A, Campoy C, Zuccotti G, Verduci E. Gut microbiota in obesity and related comorbidities in children and adolescents: the role of biotics in treatment. Minerva Pediatr (Torino) 2022; 74:632-649. [PMID: 35708037 DOI: 10.23736/s2724-5276.22.06964-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
INTRODUCTION Obesity is a complex pathology, globally spread, with a multifactorial pathogenesis, strictly linked with lifestyle, hormones, genetic and epigenetic factors. Evidence supports that obesity, and its comorbidities, are related to changes in gut microbiota, partially responsible of the modulation of energy metabolism. EVIDENCE ACQUISITION Pediatric obesity has been associated with lower bacterial diversity and differences in composition of the gut microbiota, also varying according to the metabolic status of obese subjects. Indeed, differences in distributions and activity of microorganisms in the gut of metabolically healthy and unhealthy obese children have been highlighted. EVIDENCE SYNTHESIS Based on human studies, this review aims to discuss gut microbiota alterations in obese children and adolescents and its role in obese-related complications. Moreover, the role of biotics (probiotics, prebiotics, synbiotics and -marginally- postbiotics) has been analyzed as modulator of obesity-related dysbiosis. CONCLUSIONS As a conclusion, a deeper knowledge about biotic mechanisms of action would be of great interest to implement the clinical care of children and adolescents with obesity and related comorbidities.
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Affiliation(s)
- Giulia Fiore
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Vittoria C Magenes
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Elisabetta DI Profio
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Chiara Milanta
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Valeria Calcaterra
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy.,Pediatric and Adolescent Unit, Department of Internal Medicine, University of Pavia, Pavia, Italy
| | - Antonella Diamanti
- Unit of Hepatology Gastroenterology and Nutrition, Bambino Gesù Children's Hospital, Rome, Italy
| | - Cristina Campoy
- Centre of Excellence for Pediatric Research EURISTIKOS, Department of Pediatrics, University of Granada, Granada, Spain
| | - Gianvincenzo Zuccotti
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy.,L. Sacco Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.,Pediatric Clinical Research Center Fondazione Romeo ed Enrica Invernizzi, University of Milan, Milan, Italy
| | - Elvira Verduci
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy - .,Department of Health Sciences, University of Milan, Milan, Italy
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Gadgil MD, Ingram KH, Appiah D, Rudd J, Whitaker KM, Bennett WL, Shikany JM, Jacobs DR, Lewis CE, Gunderson EP. Prepregnancy Protein Source and BCAA Intake Are Associated with Gestational Diabetes Mellitus in the CARDIA Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph192114142. [PMID: 36361016 PMCID: PMC9658365 DOI: 10.3390/ijerph192114142] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 10/22/2022] [Accepted: 10/26/2022] [Indexed: 06/03/2023]
Abstract
Diet quality and protein source are associated with type 2 diabetes, however relationships with GDM are less clear. This study aimed to determine whether prepregnancy diet quality and protein source are associated with gestational diabetes mellitus (GDM). Participants were 1314 Black and White women without diabetes, who had at least one birth during 25 years of follow-up in the Coronary Artery Risk Development in Young Adults (CARDIA) cohort study. The CARDIA A Priori Diet Quality Score (APDQS) was assessed in the overall cohort at enrollment and again at Year 7. Protein source and branched-chain amino acid (BCAA) intake were assessed only at the Year 7 exam (n = 565). Logistic regression analysis was used to determine associations between prepregnancy dietary factors and GDM. Women who developed GDM (n = 161) were more likely to have prepregnancy obesity and a family history of diabetes (p < 0.05). GDM was not associated with prepregnancy diet quality at enrollment (Year 0) (odds ratio [OR]: 1.01; 95% confidence interval [CI] 0.99, 1.02) or Year 7 (odds ratio [OR]: 0.97; 95% confidence interval [CI] 0.94, 1.00) in an adjusted model. Conversely, BCAA intake (OR:1.59, 95% CI 1.03, 2.43) and animal protein intake (OR: 1.06, 95% CI 1.02, 1.10) as a proportion of total protein intake, were associated with increased odds of GDM, while proportion of plant protein was associated with decreased odds of GDM (OR: 0.95, 95% CI 0.91, 0.99). In conclusion, GDM is strongly associated with source of prepregnancy dietary protein intake but not APDQS in the CARDIA study.
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Affiliation(s)
- Meghana D. Gadgil
- Division of General Internal Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA
| | - Katherine H. Ingram
- Department of Exercise Science and Sport Management, Kennesaw State University, Kennesaw, GA 30144, USA
| | - Duke Appiah
- Department of Public Health, Texas Tech University Health Sciences Center of Statistics and Analytical Sciences, Lubbock, TX 79409, USA
| | - Jessica Rudd
- Department of Statistics and Analytical Sciences, Kennesaw State University, Kennesaw, GA 30144, USA
| | - Kara M. Whitaker
- Department of Health and Human Physiology, Department of Epidemiology, University of Iowa, Iowa City, IA 52242, USA
| | - Wendy L. Bennett
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - David R. Jacobs
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Erica P. Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA 91101, USA
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Li S, Lyu G, Li S, Yang H, Yang Y. Metabolic characterization of amniotic fluid of fetuses with isolated choroid plexus cyst. J Perinat Med 2022; 50:1100-1106. [PMID: 35607760 DOI: 10.1515/jpm-2022-0028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 01/26/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES To investigate the amino acid (AA)-related metabolic characteristics of amniotic fluid (AF) obtained by ultrasound-guided amniocentesis from fetuses with isolated choroid plexus cysts of the central nervous system. METHODS Ultrasound-guided amniocentesis was performed on 17 fetuses with isolated choroid plexus cysts (ICPCs) and 17 normal fetuses. The AF samples from normal pregnancies were matched with the case samples in a 1:1 ratio based upon gestational age. The AF samples from the 34 fetuses were analyzed by liquid chromatography-mass spectrometry (LC-MS). Then, the peak areas of the metabolites were analyzed by principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and univariate statistical analysis. RESULTS This study ultimately identified 31 AAs. Seven differentially abundant AAs were screened out, including citrulline, ethanolamine, aspartic acid, valine, 5-hydroxylysine, proline, and isoleucine (p-value<0.05). A total of 4 metabolic pathways were significantly altered in the ICPC group: valine, leucine and isoleucine biosynthesis; valine, leucine and isoleucine degradation; pantothenate and coenzyme A (CoA) biosynthesis; and arginine biosynthesis. CONCLUSIONS The results of this study indicate that fetuses with ICPC have disrupted levels of citrulline, ethanolamine, aspartic acid, valine, 5-hydroxylysine, proline, and isoleucine, which may ultimately affect fetal glucose and lipid metabolism.
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Affiliation(s)
- Shangqing Li
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, P.R. China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, P.R. China
- Quanzhou Medical College, Quanzhou, Fujian, P.R. China
| | - Shaohui Li
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, P.R. China
| | - Hainan Yang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, P.R. China
| | - Yiru Yang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, P.R. China
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