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Lyu Q, Chen RA, Chuang HL, Zou HB, Liu L, Sung LK, Liu PY, Wu HY, Chang HY, Cheng WJ, Wu WK, Wu MS, Hsu CC. Bifidobacterium alleviate metabolic disorders via converting methionine to 5'-methylthioadenosine. Gut Microbes 2024; 16:2300847. [PMID: 38439565 PMCID: PMC10936671 DOI: 10.1080/19490976.2023.2300847] [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: 06/01/2023] [Accepted: 12/27/2023] [Indexed: 03/06/2024] Open
Abstract
Dietary patterns and corresponding gut microbiota profiles are associated with various health conditions. A diet rich in polyphenols, primarily plant-based, has been shown to promote the growth of probiotic bacteria in the gastrointestinal tract, subsequently reducing the risk of metabolic disorders in the host. The beneficial effects of these bacteria are largely due to the specific metabolites they produce, such as short-chain fatty acids and membrane proteins. In this study, we employed a metabolomics-guided bioactive metabolite identification platform that included bioactivity testing using in vitro and in vivo assays to discover a bioactive metabolite produced from probiotic bacteria. Through this approach, we identified 5'-methylthioadenosine (MTA) as a probiotic bacterial-derived metabolite with anti-obesity properties. Furthermore, our findings indicate that MTA administration has several regulatory impacts on liver functions, including modulating fatty acid synthesis and glucose metabolism. The present study elucidates the intricate interplay between dietary habits, gut microbiota, and their resultant metabolites.
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Affiliation(s)
- Qiang Lyu
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
| | - Rou-An Chen
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
- Leeuwenhoek Laboratories Co. Ltd, Taipei, Taiwan
| | - Hsiao-Li Chuang
- National Laboratory Animal Center, National Applied Research Laboratories Research Institute, Taipei, Taiwan
| | - Hsin-Bai Zou
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
- Leeuwenhoek Laboratories Co. Ltd, Taipei, Taiwan
| | - Lihong Liu
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Li-Kang Sung
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
| | - Po-Yu Liu
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Hsin-Yi Wu
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
| | - Hsin-Yuan Chang
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
| | - Wan-Ju Cheng
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
| | - Wei-Kai Wu
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medical Research, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming-Shiang Wu
- Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Cheng-Chih Hsu
- Department of Chemistry, National Taiwan University, Taipei, Taiwan
- Leeuwenhoek Laboratories Co. Ltd, Taipei, Taiwan
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Trejo-Reyes R, Cantoral A, Lamadrid-Figueroa H, Betanzos-Robledo L, Téllez-Rojo MM, Peterson KE, Baylin A, Jansen EC. Plasma Fatty Acid Biomarkers of Dairy Consumption Are Associated with Sex-Dependent Effects on Metabolic Syndrome Components in Mexican Adolescents. ANNALS OF NUTRITION & METABOLISM 2023; 79:343-354. [PMID: 37607502 PMCID: PMC10614258 DOI: 10.1159/000531972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 07/01/2023] [Indexed: 08/24/2023]
Abstract
INTRODUCTION During adolescence, dairy product intake has shown conflicting associations with metabolic syndrome (MetS) components, which are risk factors for cardiovascular disease (CVD). This study aims to investigate the association between plasma fatty acids (FAs) C15:0, C17:0, and t-C16:1n-7, as biomarkers of dairy intake, with MetS and its components in Mexican adolescents. METHODS A sample of 311 participants from the Early Life Exposure in Mexico City to Environmental Toxicants (ELEMENT) cohort was included in this cross-sectional analysis. FA concentrations were measured in plasma as a percentage of total FA. We used quantile regression models stratified by sex to evaluate the association between FA quantiles and MetS components, adjusting for age, socioeconomic status (SES), sedentary behavior, BMI z-score, pubertal status, and energy intake. RESULTS We found significant associations between dairy biomarkers and the median of MetS variables. In females, t-C16:1n-7 was associated with a decrease of 2.97 cm in WC (Q4 vs. Q1; 95% CI: -5.79, -0.16). In males, C15:0 was associated with an increase of 5.84 mm/Hg in SBP (Q4 vs. Q1; CI: 1.82, 9.85). For HDL-C, we observed opposite associations by sex. C15:0 in males was associated with decreased HDL-C (Q3 vs. Q1: β = -4.23; 95% CI: -7.98, -0.48), while in females, C15:0 and t-C16:1n-7 were associated with increased HDL-C (Q3 vs. Q1: β = 4.75; 95% CI: 0.68, 8.82 and Q4 vs. Q1: β = 6.54; 95% CI: 2.01, 11.07), respectively. Additionally, in both sexes, different levels of C15:0, C17:0, and t-C16:1n-7 were associated with increased triglycerides (TG). CONCLUSION Our results suggest that adolescent dairy intake may be associated in different directions with MetS components and that associations are sex-dependent.
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Affiliation(s)
- Rebeca Trejo-Reyes
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | | | | | - Larissa Betanzos-Robledo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Martha María Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Karen E. Peterson
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Ana Baylin
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Erica C. Jansen
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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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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Karmaus W, Kheirkhah Rahimabad P, Pham N, Mukherjee N, Chen S, Anthony TM, Arshad HS, Rathod A, Sultana N, Jones AD. Association of Metabolites, Nutrients, and Toxins in Maternal and Cord Serum with Asthma, IgE, SPT, FeNO, and Lung Function in Offspring. Metabolites 2023; 13:737. [PMID: 37367895 DOI: 10.3390/metabo13060737] [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: 04/17/2023] [Revised: 06/01/2023] [Accepted: 06/05/2023] [Indexed: 06/28/2023] Open
Abstract
The role of metabolites, nutrients, and toxins (MNTs) in sera at the end of pregnancy and of their association with offspring respiratory and allergic disorders is underexplored. Untargeted approaches detecting a variety of compounds, known and unknown, are limited. In this cohort study, we first aimed at discovering associations of MNTs in grandmaternal (F0) serum with asthma, immunoglobulin E, skin prick tests, exhaled nitric oxide, and lung function parameters in their parental (F1) offspring. Second, for replication, we tested the identified associations of MNTs with disorders in their grandchildren (F2-offspring) based on F2 cord serum. The statistical analyses were sex-stratified. Using liquid chromatography/high-resolution mass spectrometry in F0, we detected signals for 2286 negative-ion lipids, 59 positive-ion lipids, and 6331 polar MNTs. Nine MNTs (one unknown MNT) discovered in F0-F1 and replicated in F2 showed higher risks of respiratory/allergic outcomes. Twelve MNTs (four unknowns) constituted a potential protection in F1 and F2. We recognized MNTs not yet considered candidates for respiratory/allergic outcomes: a phthalate plasticizer, an antihistamine, a bile acid metabolite, tryptophan metabolites, a hemiterpenoid glycoside, triacylglycerols, hypoxanthine, and polyphenol syringic acid. The findings suggest that MNTs are aspirants for clinical trials to prevent adverse respiratory/allergic outcomes.
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Affiliation(s)
- Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - Parnian Kheirkhah Rahimabad
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - Ngan Pham
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - Nandini Mukherjee
- Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Su Chen
- Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE 68198-4375, USA
| | - Thilani M Anthony
- Department of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
| | - Hasan S Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO17 1BJ, UK
- David Hide Asthma and Allergy Research Centre, Isle of Wight PO30 5TG, UK
| | - Aniruddha Rathod
- Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Nahid Sultana
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
| | - A Daniel Jones
- Department of Biochemistry & Molecular Biology, Michigan State University, East Lansing, MI 48824, USA
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Mulcahy MC, Tellez-Rojo MM, Cantoral A, Solano-González M, Baylin A, Bridges D, Peterson KE, Perng W. Maternal carbohydrate intake during pregnancy is associated with child peripubertal markers of metabolic health but not adiposity. Public Health Nutr 2022; 25:2541-2553. [PMID: 34814962 PMCID: PMC9991622 DOI: 10.1017/s1368980021004614] [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: 05/28/2021] [Revised: 10/15/2021] [Accepted: 11/15/2021] [Indexed: 11/07/2022]
Abstract
OBJECTIVE To examine the associations of trimester-specific maternal prenatal carbohydrate (CHO) intake with offspring adiposity and metabolic health during peripuberty. DESIGN Prospective cohort study in which maternal dietary intake was collected via validated FFQ during each trimester. Offspring adiposity and metabolic biomarkers were evaluated at age 8-14 years. We used multivariable linear regression to examine associations between total energy-adjusted maternal CHO intake and offspring BMI z-score, skinfold thickness and metabolic syndrome risk z-score calculated as the average of waist circumference, fasting glucose, fasting C-peptide, TAG:HDL and systolic blood pressure + diastolic blood pressure/2. SETTING Mexico City, Mexico. PARTICIPANTS 237 mother-child pairs in the Early Life Exposure in Mexico to Environmental Toxicants cohort. RESULTS We found non-linear associations of maternal CHO intake during pregnancy with offspring metabolic health during peripuberty. After adjusting for maternal age, and child age, sex and pubertal status, children whose mothers were in the fourth v. first quartile of total CHO intake during the third trimester had 0·42 (95 % CI -0·01, 0·08) ng/ml lower C-peptide and 0·10 (95 % CI -0·02, 0·22) units lower C-peptide insulin resistance (CP-IR). We found similar magnitude and direction of association with respect to net CHO intake during the first trimester and offspring C-peptide and CP-IR. Maternal CHO intake during pregnancy was not associated with offspring adiposity. CONCLUSIONS In this study of mother-child pairs in Mexico City, children born to women in the highest quartile of CHO intake during pregnancy had lowest C-peptide and CP-IR during peripuberty. Additional research is warranted to replicate and identify mechanisms.
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Affiliation(s)
- Molly C Mulcahy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Martha Maria Tellez-Rojo
- Center for Nutrition and Health Research, Instituto de Salud Pública, Cuernavaca, Morelos, Mexico
| | - Alejandra Cantoral
- Department of Health, Universidad Iberoamericana, Prolongación Paseo de Reforma 880, Lomas de Santa Fe, Ciudad de México, C.P. 01219, Mexico
| | - Maritsa Solano-González
- Center for Nutrition and Health Research, Instituto de Salud Pública, Cuernavaca, Morelos, Mexico
| | - Ana Baylin
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Dave Bridges
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Wei Perng
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Epidemiology, Colorado School of Public Health, Anschutz Medical Campus, Aurora, CO, USA
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Liu X, Tian X, Qinghong S, Sun H, Jing L, Tang X, Guo Z, Liu Y, Wang Y, Ma J, Na R, He C, Song W, Sun W. Characterization of LC-MS based urine metabolomics in healthy children and adults. PeerJ 2022; 10:e13545. [PMID: 35762019 PMCID: PMC9233480 DOI: 10.7717/peerj.13545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 05/16/2022] [Indexed: 01/17/2023] Open
Abstract
Previous studies reported that sex and age could influence urine metabolomics, which should be considered in biomarker discovery. As a consequence, for the baseline of urine metabolomics characteristics, it becomes critical to avoid confounding effects in clinical cohort studies. In this study, we provided a comprehensive lifespan characterization of urine metabolomics in a cohort of 348 healthy children and 315 adults, aged 1 to 78 years, using liquid chromatography coupled with high resolution mass spectrometry. Our results suggest that sex-dependent urine metabolites are much greater in adults than in children. The pantothenate and CoA biosynthesis and alanine metabolism pathways were enriched in early life. Androgen and estrogen metabolism showed high activity during adolescence and youth stages. Pyrimidine metabolism was enriched in the geriatric stage. Based on the above analysis, metabolomic characteristics of each age stage were provided. This work could help us understand the baseline of urine metabolism characteristics and contribute to further studies of clinical disease biomarker discovery.
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Affiliation(s)
- Xiaoyan Liu
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Xiaoyi Tian
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, China
| | - Shi Qinghong
- China-Japan Union Hospital of Jilin University, Jilin, China
| | - Haidan Sun
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Li Jing
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Xiaoyue Tang
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Zhengguang Guo
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ying Liu
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Yan Wang
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Jie Ma
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Ren Na
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Chengyan He
- China-Japan Union Hospital of Jilin University, Jilin, China
| | - Wenqi Song
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, China
| | - Wei Sun
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
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Rodríguez-Carmona Y, Meijer JL, Zhou Y, Jansen EC, Perng W, Banker M, Song PXK, Téllez-Rojo MM, Cantoral A, Peterson KE. Metabolomics reveals sex-specific pathways associated with changes in adiposity and muscle mass in a cohort of Mexican adolescents. Pediatr Obes 2022; 17:e12887. [PMID: 35023314 DOI: 10.1111/ijpo.12887] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 12/13/2021] [Indexed: 01/26/2023]
Abstract
BACKGROUND Alterations in body composition (BC) during adolescence relates to future metabolic risk, yet underlying mechanisms remain unclear. OBJECTIVES To assess the association between the metabolome with changes in adiposity (body mass index [BMI], waist circumference [WC], triceps skinfold [TS], fat percentage [BF%]) and muscle mass (MM). METHODS In Mexican adolescents (n = 352), untargeted serum metabolomics was profiled at baseline. and data were reduced by pairing hierarchical clustering with confirmatory factor analysis, yielding 30 clusters with 51 singleton metabolites. At the baseline and follow-up visits (1.6-3.5 years apart), anthropometry was collected to identify associations between baseline metabolite clusters and change in BC (∆) using seemingly unrelated and linear regression. RESULTS Between visits, MM increased in boys and adiposity increased in girls. Sex differences were observed between metabolite clusters and changes in BC. In boys, aromatic amino acids (AAA), branched chain amino acids (BCAA) and fatty acid oxidation metabolites were associated with increases in ∆BMI, and ∆BF%. Phospholipids were associated with decreases in ∆TS and ∆MM. Negative associations were observed for ∆MM in boys with a cluster including AAA and BCAA, whereas positive associations were found for a cluster containing tryptophan metabolites. Few associations were observed between metabolites and BC change in girls, with one cluster comprising methionine, proline and lipids associated with decreases in ∆BMI, ∆WC and ∆MM. CONCLUSION Sex-specific associations between the metabolome and change in BC were observed, highlighting metabolic pathways underlying adolescent physical growth.
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Affiliation(s)
- Yanelli Rodríguez-Carmona
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Jennifer L Meijer
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.,Department of Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, USA
| | - Yiwang Zhou
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Erica C Jansen
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Wei Perng
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.,Department of Epidemiology and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado, USA
| | - Margaret Banker
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Martha María Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | | | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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Perng W, Hivert MF, Michelotti G, Oken E, Dabelea D. Metabolomic Predictors of Dysglycemia in Two U.S. Youth Cohorts. Metabolites 2022; 12:404. [PMID: 35629908 PMCID: PMC9147862 DOI: 10.3390/metabo12050404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 04/26/2022] [Accepted: 04/28/2022] [Indexed: 01/27/2023] Open
Abstract
Here, we seek to identify metabolite predictors of dysglycemia in youth. In the discovery analysis among 391 youth in the Exploring Perinatal Outcomes among CHildren (EPOCH) cohort, we used reduced rank regression (RRR) to identify sex-specific metabolite predictors of impaired fasting glucose (IFG) and elevated fasting glucose (EFG: Q4 vs. Q1 fasting glucose) 6 years later and compared the predictive capacity of four models: Model 1: ethnicity, parental diabetes, in utero exposure to diabetes, and body mass index (BMI); Model 2: Model 1 covariates + baseline waist circumference, insulin, lipids, and Tanner stage; Model 3: Model 2 + baseline fasting glucose; Model 4: Model 3 + baseline metabolite concentrations. RRR identified 19 metabolite predictors of fasting glucose in boys and 14 metabolite predictors in girls. Most compounds were on lipid, amino acid, and carbohydrate metabolism pathways. In boys, no improvement in aurea under the receiver operating characteristics curve AUC occurred until the inclusion of metabolites in Model 4, which increased the AUC for prediction of IFG (7.1%) from 0.81 to 0.97 (p = 0.002). In girls, %IFG was too low for regression analysis (3.1%), but we found similar results for EFG. We replicated the results among 265 youth in the Project Viva cohort, focusing on EFG due to low %IFG, suggesting that the metabolite profiles identified herein have the potential to improve the prediction of glycemia in youth.
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Affiliation(s)
- Wei Perng
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA; (M.-F.H.); (E.O.)
- Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA 02215, USA; (M.-F.H.); (E.O.)
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, MA 02115, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA
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9
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Francis EC, Kechris K, Cohen CC, Michelotti G, Dabelea D, Perng W. Metabolomic Profiles in Childhood and Adolescence Are Associated with Fetal Overnutrition. Metabolites 2022; 12:265. [PMID: 35323708 PMCID: PMC8952572 DOI: 10.3390/metabo12030265] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/07/2022] [Accepted: 03/16/2022] [Indexed: 02/01/2023] Open
Abstract
Fetal overnutrition predisposes offspring to increased metabolic risk. The current study used metabolomics to assess sustained differences in serum metabolites across childhood and adolescence among youth exposed to three typologies of fetal overnutrition: maternal obesity only, gestational diabetes mellitus (GDM) only, and obesity + GDM. We included youth exposed in utero to obesity only (BMI ≥ 30; n = 66), GDM only (n = 56), obesity + GDM (n = 25), or unexposed (n = 297), with untargeted metabolomics measured at ages 10 and 16 years. We used linear mixed models to identify metabolites across both time-points associated with exposure to any overnutrition, using a false-discovery-rate correction (FDR) <0.20. These metabolites were included in a principal component analysis (PCA) to generate profiles and assess metabolite profile differences with respect to overnutrition typology (adjusted for prenatal smoking, offspring age, sex, and race/ethnicity). Fetal overnutrition was associated with 52 metabolites. PCA yielded four factors accounting for 17−27% of the variance, depending on age of measurement. We observed differences in three factor patterns with respect to overnutrition typology: sphingomyelin-mannose (8−13% variance), skeletal muscle metabolism (6−10% variance), and 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid (CMPF; 3−4% variance). The sphingomyelin-mannose factor score was higher among offspring exposed to obesity vs. GDM. Exposure to obesity + GDM (vs. GDM or obesity only) was associated with higher skeletal muscle metabolism and CMPF scores. Fetal overnutrition is associated with metabolic changes in the offspring, but differences between typologies of overnutrition account for a small amount of variation in the metabolome, suggesting there is likely greater pathophysiological overlap than difference.
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Affiliation(s)
- Ellen C. Francis
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA; (C.C.C.); (D.D.); (W.P.)
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Catherine C. Cohen
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA; (C.C.C.); (D.D.); (W.P.)
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | | | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA; (C.C.C.); (D.D.); (W.P.)
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA; (C.C.C.); (D.D.); (W.P.)
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
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10
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Yamada T, Kamiya M, Higuchi M. Metabolomic analysis of plasma and intramuscular adipose tissue between Wagyu and Holstein cattle. J Vet Med Sci 2021; 84:186-192. [PMID: 34897188 PMCID: PMC8920725 DOI: 10.1292/jvms.21-0562] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
In this experiment, we studied the effects of breed differences in intramuscular
adipogenic capacity on the metabolomic profiles of plasma and intramuscular adipose tissue
between Wagyu (high intramuscular adipogenic capacity) and Holstein (low intramuscular
adipogenic capacity) using capillary electrophoresis time-of-flight mass spectrometry
(CE-TOFMS). We showed that the intramuscular fat content, intramuscular adipocyte size and
the expression of adipogenic transcription factors (C/EBPβ and C/EBPα) of Wagyu were
significantly higher than those of Holstein. Metabolites detected at significantly higher
levels in Wagyu plasma were related to the tricarboxylic acid cycle, lipid synthesis,
fatty acid metabolism, diabetes, and glucose homeostasis. In contrast, metabolites
detected at significantly higher levels in Holstein plasma were related to choline
metabolism, the ethanolamine pathway, glutathione homeostasis, nucleic acid metabolism,
and amino acid metabolism. Metabolites detected at significantly higher levels in Holstein
intramuscular adipose tissue were related to nucleic acid metabolism, amino acid
metabolism, amino sugar metabolism, beta oxidation, and the ethanolamine pathway. There
were no metabolites significantly higher levels in Wagyu intramuscular adipose tissue.
These results indicate candidate biomarkers of breed differences in intramuscular
adipogenic capacity between Wagyu and Holstein.
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Affiliation(s)
- Tomoya Yamada
- Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization
| | - Mituru Kamiya
- Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization
| | - Mikito Higuchi
- Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization
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11
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Azab SM, de Souza RJ, Lamri A, Shanmuganathan M, Kroezen Z, Schulze KM, Desai D, Williams NC, Morrison KM, Atkinson SA, Teo KK, Britz-McKibbin P, Anand SS. Metabolite profiles and the risk of metabolic syndrome in early childhood: a case-control study. BMC Med 2021; 19:292. [PMID: 34823524 PMCID: PMC8616718 DOI: 10.1186/s12916-021-02162-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 10/18/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Defining the metabolic syndrome (MetS) in children remains challenging. Furthermore, a dichotomous MetS diagnosis can limit the power to study associations. We sought to characterize the serum metabolite signature of the MetS in early childhood using high-throughput metabolomic technologies that allow comprehensive profiling of metabolic status from a biospecimen. METHODS In the Family Atherosclerosis Monitoring In earLY life (FAMILY) prospective birth cohort study, we selected 228 cases of MetS and 228 matched controls among children age 5 years. In addition, a continuous MetS risk score was calculated for all 456 participants. Comprehensive metabolite profiling was performed on fasting serum samples using multisegment injection-capillary electrophoresis-mass spectrometry. Multivariable regression models were applied to test metabolite associations with MetS adjusting for covariates of screen time, diet quality, physical activity, night sleep, socioeconomic status, age, and sex. RESULTS Compared to controls, thirteen serum metabolites were identified in MetS cases when using multivariable regression models, and using the quantitative MetS score, an additional eight metabolites were identified. These included metabolites associated with gluconeogenesis (glucose (odds ratio (OR) 1.55 [95% CI 1.25-1.93]) and glutamine/glutamate ratio (OR 0.82 [95% CI 0.67-1.00])) and the alanine-glucose cycle (alanine (OR 1.41 [95% CI 1.16-1.73])), amino acids metabolism (tyrosine (OR 1.33 [95% CI 1.10-1.63]), threonine (OR 1.24 [95% CI 1.02-1.51]), monomethylarginine (OR 1.33 [95% CI 1.09-1.64]) and lysine (OR 1.23 [95% CI 1.01-1.50])), tryptophan metabolism (tryptophan (OR 0.78 [95% CI 0.64-0.95])), and fatty acids metabolism (carnitine (OR 1.24 [95% CI 1.02-1.51])). The quantitative MetS risk score was more powerful than the dichotomous outcome in consistently detecting this metabolite signature. CONCLUSIONS A distinct metabolite signature of pediatric MetS is detectable in children as young as 5 years old and may improve risk assessment at early stages of development.
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Affiliation(s)
- Sandi M Azab
- Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Russell J de Souza
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada
| | - Amel Lamri
- Department of Medicine, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada
| | - Meera Shanmuganathan
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Zachary Kroezen
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | | | - Dipika Desai
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada
| | | | - Katherine M Morrison
- Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada.,Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | | | - Koon K Teo
- Department of Medicine, McMaster University, Hamilton, ON, Canada.,Population Health Research Institute, Hamilton, ON, Canada
| | - Philip Britz-McKibbin
- Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada
| | - Sonia S Anand
- Department of Medicine, McMaster University, Hamilton, ON, Canada. .,Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada. .,Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada. .,Population Health Research Institute, Hamilton, ON, Canada.
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12
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De Spiegeleer M, De Paepe E, Van Meulebroek L, Gies I, De Schepper J, Vanhaecke L. Paediatric obesity: a systematic review and pathway mapping of metabolic alterations underlying early disease processes. Mol Med 2021; 27:145. [PMID: 34742239 PMCID: PMC8571978 DOI: 10.1186/s10020-021-00394-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 10/02/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The alarming trend of paediatric obesity deserves our greatest awareness to hinder the early onset of metabolic complications impacting growth and functionality. Presently, insight into molecular mechanisms of childhood obesity and associated metabolic comorbidities is limited. This systematic review aimed at scrutinising what has been reported on putative metabolites distinctive for metabolic abnormalities manifesting at young age by searching three literature databases (Web of Science, Pubmed and EMBASE) during the last 6 years (January 2015-January 2021). Global metabolomic profiling of paediatric obesity was performed (multiple biological matrices: blood, urine, saliva and adipose tissue) to enable overarching pathway analysis and network mapping. Among 2792 screened Q1 articles, 40 met the eligibility criteria and were included to build a database on metabolite markers involved in the spectrum of childhood obesity. Differential alterations in multiple pathways linked to lipid, carbohydrate and amino acid metabolisms were observed. High levels of lactate, pyruvate, alanine and acetate marked a pronounced shift towards hypoxic conditions in children with obesity, and, together with distinct alterations in lipid metabolism, pointed towards dysbiosis and immunometabolism occurring early in life. Additionally, aberrant levels of several amino acids, most notably belonging to tryptophan metabolism including the kynurenine pathway and its relation to histidine, phenylalanine and purine metabolism were displayed. Moreover, branched-chain amino acids were linked to lipid, carbohydrate, amino acid and microbial metabolism, inferring a key role in obesity-associated insulin resistance. CONCLUSIONS This systematic review revealed that the main metabolites at the crossroad of dysregulated metabolic pathways underlying childhood obesity could be tracked down to one central disturbance, i.e. impending insulin resistance for which reference values and standardised measures still are lacking. In essence, glycolytic metabolism was evinced as driving energy source, coupled to impaired Krebs cycle flux and ß-oxidation. Applying metabolomics enabled to retrieve distinct metabolite alterations in childhood obesity(-related insulin resistance) and associated pathways at early age and thus could provide a timely indication of risk by elucidating early-stage biomarkers as hallmarks of future metabolically unhealthy phenotypes.
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Affiliation(s)
- Margot De Spiegeleer
- Laboratory of Chemical Analysis, Department of Translational Physiology, Infectiology and Public Health, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Ellen De Paepe
- Laboratory of Chemical Analysis, Department of Translational Physiology, Infectiology and Public Health, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Lieven Van Meulebroek
- Laboratory of Chemical Analysis, Department of Translational Physiology, Infectiology and Public Health, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Inge Gies
- KidZ Health Castle, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090, Brussel, Belgium
| | - Jean De Schepper
- KidZ Health Castle, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090, Brussel, Belgium.,Department of Internal Medicine and Pediatrics, Faculty of Medicine and Health Sciences, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Lynn Vanhaecke
- Laboratory of Chemical Analysis, Department of Translational Physiology, Infectiology and Public Health, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium. .,Institute for Global Food Security, School of Biological Sciences, Queen's University, University Road, Belfast, BT7 1NN, UK.
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13
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Bardanzellu F, Puddu M, Peroni DG, Fanos V. The clinical impact of maternal weight on offspring health: lights and shadows in breast milk metabolome. Expert Rev Proteomics 2021; 18:571-606. [PMID: 34107825 DOI: 10.1080/14789450.2021.1940143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Pre-pregnancy overweight and obesity, depending on maternal nutrition and metabolic state, can influence fetal, neonatal and long-term offspring health, regarding cardio-metabolic, respiratory, immunological and cognitive outcomes. Thus, maternal weight can act, through mechanisms that are not full understood, on the physiology and metabolism of some fetal organs and tissues, to adapt themselves to the intrauterine environment and nutritional reserves. These effects could occur by modulating gene expression, neonatal microbiome, and through breastfeeding. AREAS COVERED In this paper, we investigated the potential effects of metabolites found altered in breast milk (BM) of overweight/obese mothers, through an extensive review of metabolomics studies, and the potential short- and long-term clinical effects in the offspring, especially regarding overweight, glucose homeostasis, insulin resistance, oxidative stress, infections, immune processes, and neurodevelopment. EXPERT OPINION Metabolomics seems the ideal tool to investigate BM variation depending on maternal or fetal/neonatal factors. In particular, BM metabolome alterations according to maternal conditions were recently pointed out in cases of gestational diabetes, preeclampsia, intrauterine growth restriction and maternal overweight/obesity. In our opinion, even if BM is the food of choice in neonatal nutrition, the deepest comprehension of its composition in overweight/obese mothers could allow targeted supplementation, to improve offspring health and metabolic homeostasis.
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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari. SS 554 km 4,500, 09042 Monserrato. Italy
| | - Melania Puddu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari. SS 554 km 4,500, 09042 Monserrato. Italy
| | - Diego Giampietro Peroni
- Clinical and Experimental Medicine Department, section of Pediatrics, University of Pisa, Italy. Via Roma, 55, 56126 Pisa PI, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari. SS 554 km 4,500, 09042 Monserrato. Italy
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14
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Deng W, McMullin D, Inglessis-Azuaje I, Locascio JJ, Palacios IF, Buonanno FS, Lo EH, Ning M. Effect of Patent Foramen Ovale Closure After Stroke on Circulatory Biomarkers. Neurology 2021; 97:e203-e214. [PMID: 33986139 DOI: 10.1212/wnl.0000000000012188] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 04/13/2021] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVE To determine the influence of patent foramen ovale (PFO) closure on circulatory biomarkers. METHODS Consecutive patients with PFO-related stroke were prospectively enrolled and followed with serial sampling of cardiac atrial and venous blood pre- and post-PFO closure over time. Candidate biomarkers were identified by mass spectrometry in a discovery cohort first, and lead candidates were validated in an independent cohort. RESULTS Patients with PFO-related stroke (n = 254) were recruited and followed up to 4 years (median 2.01; interquartile range 0.77-2.54). Metabolite profiling in the discovery cohort (n = 12) identified homocysteine as the most significantly decreased factor in intracardiac plasma after PFO closure (false discovery rate 0.001). This was confirmed in a validation cohort (n = 181), where intracardiac total homocysteine (tHcy) was immediately reduced in patients with complete closure, but not in those with residual shunting, suggesting association of PFO shunting with tHcy elevation (β 0.115; 95% confidence interval [CI] 0.047-0.183; p = 0.001). tHcy reduction was more dramatic in left atrium than right (p < 0.001), suggesting clearance through pulmonary circulation. Long-term effect of PFO closure was also monitored and compared to medical treatment alone (n = 61). Complete PFO closure resulted in long-term tHcy reduction in peripheral blood, whereas medical therapy alone showed no effect (β -0.208; 95% CI -0.375∼-0.058; p = 0.007). Residual shunting was again independently associated with persistently elevated tHcy (β 0.184; 95% CI 0.051-0.316; p = 0.007). CONCLUSIONS PFO shunting may contribute to circulatory tHcy elevation, which is renormalized by PFO closure. PFO is not just a door for clots, but may itself enhance clot formation and injure neurovasculature by clot-independent mechanisms. Biomarkers such as tHcy can potentially serve as cost-effective measures of residual shunting and neurovascular risk for PFO stroke.
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Affiliation(s)
- Wenjun Deng
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - David McMullin
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ignacio Inglessis-Azuaje
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Joseph J Locascio
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Igor F Palacios
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Ferdinando S Buonanno
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Eng H Lo
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - MingMing Ning
- From the Clinical Proteomics Research Center (W.D., D.M., F.S.B., E.H.L., M.M.N.), Cardio-Neurology Division (W.D., I.I.-A., J.J.L., I.F.P., F.S.B., E.H.L., M.M.N.), and Neuroprotection Research Laboratory (E.H.L., M.M.N.), Massachusetts General Hospital, Harvard Medical School, Boston.
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15
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Goodrich JM, Hector EC, Tang L, LaBarre JL, Dolinoy DC, Mercado-Garcia A, Cantoral A, Song PX, Téllez-Rojo MM, Peterson KE. Integrative Analysis of Gene-Specific DNA Methylation and Untargeted Metabolomics Data from the ELEMENT Cohort. Epigenet Insights 2020; 13:2516865720977888. [PMID: 33354655 PMCID: PMC7734565 DOI: 10.1177/2516865720977888] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 11/04/2020] [Indexed: 12/18/2022] Open
Abstract
Epigenetic modifications, such as DNA methylation, influence gene expression and cardiometabolic phenotypes that are manifest in developmental periods in later life, including adolescence. Untargeted metabolomics analysis provide a comprehensive snapshot of physiological processes and metabolism and have been related to DNA methylation in adults, offering insights into the regulatory networks that influence cellular processes. We analyzed the cross-sectional correlation of blood leukocyte DNA methylation with 3758 serum metabolite features (574 of which are identifiable) in 238 children (ages 8-14 years) from the Early Life Exposures in Mexico to Environmental Toxicants (ELEMENT) study. Associations between these features and percent DNA methylation in adolescent blood leukocytes at LINE-1 repetitive elements and genes that regulate early life growth (IGF2, H19, HSD11B2) were assessed by mixed effects models, adjusting for sex, age, and puberty status. After false discovery rate correction (FDR q < 0.05), 76 metabolites were significantly associated with LINE-1 DNA methylation, 27 with HSD11B2, 103 with H19, and 4 with IGF2. The ten identifiable metabolites included dicarboxylic fatty acids (five associated with LINE-1 or H19 methylation at q < 0.05) and 1-octadecanoyl-rac-glycerol (q < 0.0001 for association with H19 and q = 0.04 for association with LINE-1). We then assessed the association between these ten known metabolites and adiposity 3 years later. Two metabolites, dicarboxylic fatty acid 17:3 and 5-oxo-7-octenoic acid, were inversely associated with measures of adiposity (P < .05) assessed approximately 3 years later in adolescence. In stratified analyses, sex-specific and puberty-stage specific (Tanner stage = 2 to 5 vs Tanner stage = 1) associations were observed. Most notably, hundreds of statistically significant associations were observed between H19 and LINE-1 DNA methylation and metabolites among children who had initiated puberty. Understanding relationships between subclinical molecular biomarkers (DNA methylation and metabolites) may increase our understanding of genes and biological pathways contributing to metabolic changes that underlie the development of adiposity during adolescence.
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Affiliation(s)
- Jaclyn M Goodrich
- Deptartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Emily C Hector
- Deptartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.,Deptartment of Statistics, North Carolina State University, USA
| | - Lu Tang
- Deptartment of Biostatistics, University of Pittsburgh, USA
| | - Jennifer L LaBarre
- Deptartment of Nutritional Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Dana C Dolinoy
- Deptartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA.,Deptartment of Nutritional Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Adriana Mercado-Garcia
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Alejandra Cantoral
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Peter Xk Song
- Deptartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Martha Maria Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Karen E Peterson
- Deptartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, USA.,Deptartment of Nutritional Sciences, University of Michigan, Ann Arbor, MI, USA
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16
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Insulin Resistance in Obese Children: What Can Metabolomics and Adipokine Modelling Contribute? Nutrients 2020; 12:nu12113310. [PMID: 33137934 PMCID: PMC7692749 DOI: 10.3390/nu12113310] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/23/2020] [Accepted: 10/27/2020] [Indexed: 02/07/2023] Open
Abstract
The evolution of obesity and its resulting comorbidities differs depending upon the age of the subject. The dramatic rise in childhood obesity has resulted in specific needs in defining obesity-associated entities with this disease. Indeed, even the definition of obesity differs for pediatric patients from that employed in adults. Regardless of age, one of the earliest metabolic complications observed in obesity involves perturbations in glucose metabolism that can eventually lead to type 2 diabetes. In children, the incidence of type 2 diabetes is infrequent compared to that observed in adults, even with the same degree of obesity. In contrast, insulin resistance is reported to be frequently observed in children and adolescents with obesity. As this condition can be prerequisite to further metabolic complications, identification of biological markers as predictive risk factors would be of tremendous clinical utility. Analysis of obesity-induced modifications of the adipokine profile has been one classic approach in the identification of biomarkers. Recent studies emphasize the utility of metabolomics in the analysis of metabolic characteristics in children with obesity with or without insulin resistance. These studies have been performed with targeted or untargeted approaches, employing different methodologies. This review summarizes some of the advances in this field while emphasizing the importance of the different techniques employed.
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17
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Perng W, Francis EC, Smith HA, Carey J, Wang D, Kechris KM, Dabelea D. Sex-Specific Metabolite Biomarkers of NAFLD in Youth: A Prospective Study in the EPOCH Cohort. J Clin Endocrinol Metab 2020; 105:5873863. [PMID: 32687159 PMCID: PMC7418446 DOI: 10.1210/clinem/dgaa467] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 07/15/2020] [Indexed: 12/16/2022]
Abstract
CONTEXT Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease in developed nations. There are currently no accurate biomarkers of NAFLD risk in youth. OBJECTIVE Identify sex-specific metabolomics biomarkers of NAFLD in a healthy cohort of youth. DESIGN/SETTING This prospective study included 395 participants of the EPOCH cohort in Colorado, who were recruited 2006-2009 ("T1 visit") and followed for 5 years ("T2 visit"). We entered 767 metabolites measured at T1 into a reduced rank regression model to identify the strongest determinants of hepatic fat fraction (HFF) at T2, separately for boys and girls. We compared the capacity of metabolites versus conventional risk factors (overweight/obesity, insulin, alanine transaminase, aspartate transaminase) to predict NAFLD (HFF ≥5%) and high HFF (fourth vs first quartile) using area under the receiver operating characteristic curve (AUC). RESULTS Prevalence of NAFLD was 7.9% (8.5% of boys, 7.1% of girls). Mean ± SD HFF was 2.5 ± 3.1%. We identified 13 metabolites in girls and 10 metabolites in boys. Metabolites were in lipid, amino acid, and carbohydrate metabolism pathways. At T1, the metabolites outperformed conventional risk factors in prediction of high HFF but not NAFLD. At T2, the metabolites were superior to conventional risk factors as predictors of high HFF (AUC for metabolites vs conventional risk factors for boys: 0.9565 vs 0.8851, P = 0.02; for girls: 0.9450 vs 0.8469, P = 0.02) with similar trends for NAFLD, although the differences were not significant. CONCLUSIONS The metabolite profiles identified herein are superior predictors of high HFF when assessed 5 years prior and concurrently in a general-risk setting.
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Affiliation(s)
- Wei Perng
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Colorado
- Correspondence and Reprint Requests: Wei Perng, University of Colorado Denver, Anschutz Medical Campus, 12474 E. 19th Ave, Room 208, Aurora, CO 80045, USA. E-mail:
| | - Ellen C Francis
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Colorado
| | - Harry A Smith
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - John Carey
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
| | - Dongqing Wang
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Katerina M Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Dana Dabelea
- Lifcourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora Colorado
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Colorado
- Department of Pediatrics, University of Colorado School of Medicine, Aurora Colorado
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Smeets NJL, Schreuder MF, Dalinghaus M, Male C, Lagler FB, Walsh J, Laer S, de Wildt SN. Pharmacology of enalapril in children: a review. Drug Discov Today 2020; 25:S1359-6446(20)30336-6. [PMID: 32835726 DOI: 10.1016/j.drudis.2020.08.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 08/06/2020] [Accepted: 08/13/2020] [Indexed: 12/28/2022]
Abstract
Enalapril is an angiotensin-converting enzyme (ACE) inhibitor that is used for the treatment of (paediatric) hypertension, heart failure and chronic kidney diseases. Because its disposition, efficacy and safety differs across the paediatric continuum, data from adults cannot be automatically extrapolated to children. This review highlights paediatric enalapril pharmacokinetic data and demonstrates that these are inadequate to support with certainty an age-related effect on enalapril/enalaprilat pharmacokinetics. In addition, our review shows that evidence to support effective and safe prescribing of enalapril in children is limited, especially in young children and heart failure patients; studies in these groups are either absent or show conflicting results. We provide explanations for observed differences between age groups and indications, and describe areas for future research.
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Affiliation(s)
- Nori J L Smeets
- Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, the Netherlands
| | - Michiel F Schreuder
- Department of Pediatric Nephrology, Radboud Institute of Molecular Sciences, Radboudumc Amalia Children's Hospital, Nijmegen, the Netherlands
| | - Michiel Dalinghaus
- Department of Pediatric Cardiology, Erasmus MC - Sophia, Rotterdam, the Netherlands
| | - Christoph Male
- Department of Paediatrics and Adolescent Medicine, Medical University of Vienna, Vienna, Austria
| | | | | | - Stephanie Laer
- Institute of Clinical Pharmacy and Pharmacotherapy, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Saskia N de Wildt
- Department of Pharmacology and Toxicology, Radboud Institute of Health Sciences, Radboudumc, Nijmegen, the Netherlands; Department of Intensive Care and Pediatric Surgery, Erasmus MC - Sophia Children's Hospital, Rotterdam, the Netherlands.
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19
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Perng W, Rahman ML, Aris IM, Michelotti G, Sordillo JE, Chavarro JE, Oken E, Hivert MF. Metabolite Profiles of the Relationship between Body Mass Index (BMI) Milestones and Metabolic Risk during Early Adolescence. Metabolites 2020; 10:E316. [PMID: 32751947 PMCID: PMC7464362 DOI: 10.3390/metabo10080316] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 07/24/2020] [Accepted: 07/28/2020] [Indexed: 11/16/2022] Open
Abstract
Early growth is associated with future metabolic risk; however, little is known of the underlying biological pathways. In this prospective study of 249 boys and 227 girls, we sought to identify sex-specific metabolite profiles that mark the relationship between age and magnitude of the infancy body mass index (BMI) peak, and the childhood BMI rebound with a metabolic syndrome z-score (MetS z-score) during early adolescence (median age 12.8 years). Thirteen consensus metabolite networks were generated between male and female adolescents using weighted correlation network analysis. In girls, none of the networks were related to BMI milestones after false discovery rate (FDR) correction at 5%. In boys, age and/or magnitude of BMI at rebound were associated with three metabolite eigenvector (ME) networks comprising androgen hormones (ME7), lysophospholipids (ME8), and diacylglycerols (ME11) after FDR correction. These networks were also associated with MetS z-score in boys after accounting for age and race/ethnicity: ME7 (1.43 [95% CI: 0.52, 2.34] units higher MetS z-score per 1 unit of ME7), ME8 (-1.01 [95% CI: -1.96, -0.07]), and ME11 (2.88 [95% CI: 2.06, 3.70]). These findings suggest that alterations in sex steroid hormone and lipid metabolism are involved in the relationship of early growth with future metabolic risk in males.
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Affiliation(s)
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Mohammad L. Rahman
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
| | - Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
| | | | - Joanne E. Sordillo
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
| | - Jorge E. Chavarro
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, MA 02115, USA;
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
- Department of Nutrition, T. H. Chan Harvard School of Public Health, Boston, MA 02115, USA;
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse (CoRAL), Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA; (M.L.R.); (I.M.A.); (J.E.S.); (E.O.); (M.-F.H.)
- Diabetes Unit, Massachusetts General Hospital, Boston, MA 02114, USA
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Bardanzellu F, Puddu M, Peroni DG, Fanos V. The Human Breast Milk Metabolome in Overweight and Obese Mothers. Front Immunol 2020; 11:1533. [PMID: 32793208 PMCID: PMC7385070 DOI: 10.3389/fimmu.2020.01533] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 06/10/2020] [Indexed: 12/15/2022] Open
Abstract
Pre-pregnancy body mass index (BMI) is a major relevance factor, since maternal overweight and obesity can impair the pregnancy outcome and represent risk factors for several neonatal, childhood, and adult conditions, including excessive weight gain, cardiovascular disease, diabetes mellitus, and even behavioral disorders. Currently, breast milk (BM) composition in such category of mothers was not completely defined. In this field, metabolomics represents the ideal technology, able to detect the whole profile of low molecular weight molecules in BM. Limited information is available on human BM metabolites differences in overweight or obese compared to lean mothers. Analyzing all the metabolomics studies published on Medline in English language, this review evaluated the effects that 8 specific types of metabolites found altered by maternal overweight and obesity (nucleotide derivatives, 5-methylthioadenosine, sugar-alcohols, acylcarnitine and amino acids, polyamines, mono-and oligosaccharides, lipids) can exert on the risk of offspring obesity development and other potentially associated health outcomes and complications. However, metabolites variations in samples collected from overweight and obese mothers and the potentially correlated effects highlighted below still need further investigations and should be confirmed in future metabolomics studies on larger samples. Finally, the positive or negative influence of maternal overweight and obesity on the offspring, potentially exerted by breastfeeding, should be analyzed in close correlation with maternal age, genetic and environmental factors, including diet, and taking into account the interactions occurring between BM metabolites and lactobiome. The evaluation of all the factors affecting BM metabolites in overweight and obese mothers can lead to the comprehensive description of such biofluid and the related effects on breastfed subjects, potentially highlighting personalized needs of BM supplementation or short- and long-term prevention strategies to optimize offspring health.
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Affiliation(s)
- Flaminia Bardanzellu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Monserrato, Italy
| | - Melania Puddu
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Monserrato, Italy
| | - Diego Giampietro Peroni
- Clinical and Experimental Medicine Department, Section of Pediatrics, University of Pisa, Pisa, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, Department of Surgical Sciences, AOU and University of Cagliari, Monserrato, Italy
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Perng W, Aslibekyan S. Find the Needle in the Haystack, Then Find It Again: Replication and Validation in the 'Omics Era. Metabolites 2020; 10:metabo10070286. [PMID: 32664690 PMCID: PMC7408356 DOI: 10.3390/metabo10070286] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/01/2020] [Accepted: 07/10/2020] [Indexed: 01/25/2023] Open
Abstract
Advancements in high-throughput technologies have made it feasible to study thousands of biological pathways simultaneously for a holistic assessment of health and disease risk via ‘omics platforms. A major challenge in ‘omics research revolves around the reproducibility of findings—a feat that hinges upon balancing false-positive associations with generalizability. Given the foundational role of reproducibility in scientific inference, replication and validation of ‘omics findings are cornerstones of this effort. In this narrative review, we define key terms relevant to replication and validation, present issues surrounding each concept with historical and contemporary examples from genomics (the most well-established and upstream ‘omics), discuss special issues and unique considerations for replication and validation in metabolomics (an emerging field and most downstream ‘omics for which best practices remain yet to be established), and make suggestions for future research leveraging multiple ‘omics datasets.
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Affiliation(s)
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO 80045, USA
- Correspondence:
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA;
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LaBarre JL, Peterson KE, Kachman MT, Perng W, Tang L, Hao W, Zhou L, Karnovsky A, Cantoral A, Téllez-Rojo MM, Song PXK, Burant CF. Mitochondrial Nutrient Utilization Underlying the Association Between Metabolites and Insulin Resistance in Adolescents. J Clin Endocrinol Metab 2020; 105:5837725. [PMID: 32413135 PMCID: PMC7274492 DOI: 10.1210/clinem/dgaa260] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 05/12/2020] [Indexed: 12/16/2022]
Abstract
CONTEXT A person's intrinsic metabolism, reflected in the metabolome, may describe the relationship between nutrient intake and metabolic health. OBJECTIVES Untargeted metabolomics was used to identify metabolites associated with metabolic health. Path analysis classified how habitual dietary intake influences body mass index z-score (BMIz) and insulin resistance (IR) through changes in the metabolome. DESIGN Data on anthropometry, fasting metabolites, C-peptide, and dietary intake were collected from 108 girls and 98 boys aged 8 to 14 years. Sex-stratified linear regression identified metabolites associated with BMIz and homeostatic model assessment of IR using C-peptide (HOMA-CP), accounting for puberty, age, and muscle and fat area. Path analysis identified clusters of metabolites that underlie the relationship between energy-adjusted macronutrient intake with BMIz and HOMA-CP. RESULTS Metabolites associated with BMIz include positive associations with diglycerides among girls and positive associations with branched chain and aromatic amino acids in boys. Intermediates in fatty acid metabolism, including medium-chain acylcarnitines (AC), were inversely associated with HOMA-CP. Carbohydrate intake is positively associated with HOMA-CP through decreases in levels of AC, products of β-oxidation. Approaching significance, fat intake is positively associated with HOMA-CP through increases in levels of dicarboxylic fatty acids, products of omega-oxidation. CONCLUSIONS This cross-sectional analysis suggests that IR in children is associated with reduced fatty acid oxidation capacity. When consuming more grams of fat, there is evidence for increased extramitochondrial fatty acid metabolism, while higher carbohydrate intake appears to lead to decreases in intermediates of β-oxidation. Thus, biomarkers of IR and mitochondrial oxidative capacity may depend on macronutrient intake.
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Affiliation(s)
- Jennifer L LaBarre
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Maureen T Kachman
- Biomedical Research Core Facilities Metabolomics Core, University of Michigan Medical School, Ann Arbor, Michigan
| | - Wei Perng
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
- Department of Epidemiology and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver, Anschutz Medical Campus, Aurora, Colorado
| | - Lu Tang
- Department of Biostatistics, University of Pittsburgh, Pittsburg, Pennsylvania
| | - Wei Hao
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Ling Zhou
- Center of Statistical Research, Southwestern University of Finance and Economics, Chengdu, Sichuan, China
| | - Alla Karnovsky
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan
| | | | | | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan
| | - Charles F Burant
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan
- Correspondence: Charles F. Burant, MD, PhD, 6309 Brehm Tower, 1000 Wall St., Ann Arbor MI, 48105.
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Perng W, Ringham BM, Smith HA, Michelotti G, Kechris KM, Dabelea D. A prospective study of associations between in utero exposure to gestational diabetes mellitus and metabolomic profiles during late childhood and adolescence. Diabetologia 2020; 63:296-312. [PMID: 31720734 PMCID: PMC8327857 DOI: 10.1007/s00125-019-05036-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 10/08/2019] [Indexed: 12/25/2022]
Abstract
AIMS/HYPOTHESIS This study aimed to: (1) identify metabolite patterns during late childhood that differ with respect to exposure to maternal gestational diabetes mellitus (GDM); (2) examine the persistence of GDM/metabolite associations 5 years later, during adolescence; and (3) investigate the associations of metabolite patterns with adiposity and metabolic biomarkers from childhood through adolescence. METHODS This study included 592 mother-child pairs with information on GDM exposure (n = 92 exposed), untargeted metabolomics data at age 6-14 years (T1) and at 12-19 years (T2), and information on adiposity and metabolic risk biomarkers at T1 and T2. We first consolidated 767 metabolites at T1 into factors (metabolite patterns) via principal component analysis (PCA) and used multivariable regression to identify factors that differed by GDM exposure, at α = 0.05. We then examined associations of GDM with individual metabolites within factors of interest at T1 and T2, and investigated associations of GDM-related factors at T1 with adiposity and metabolic risk throughout T1 and T2 using mixed-effects linear regression models. RESULTS Of the six factors retained from PCA, GDM exposure was associated with greater odds of being in quartile (Q)4 (vs Q1-3) of 'Factor 4' at T1 after accounting for age, sex, race/ethnicity, maternal smoking habits during pregnancy, Tanner stage, physical activity and total energy intake, at α = 0.05 (OR 1.78 [95% CI 1.04, 3.04]; p = 0.04). This metabolite pattern comprised phosphatidylcholines, diacylglycerols and phosphatidylethanolamines. GDM was consistently associated with elevations in a subset of individual compounds within this pattern at T1 and T2. While this metabolite pattern was not related to the health outcomes in boys, it corresponded with greater adiposity and a worse metabolic profile among girls throughout the follow-up period. Each 1-unit increment in Factor 4 corresponded with 0.17 (0.08, 0.25) units higher BMI z score, 8.83 (5.07, 12.59) pmol/l higher fasting insulin, 0.28 (0.13, 0.43) units higher HOMA-IR, and 4.73 (2.15, 7.31) nmol/l higher leptin. CONCLUSIONS/INTERPRETATION Exposure to maternal GDM was nominally associated with a metabolite pattern characterised by elevated serum phospholipids in late childhood and adolescence at α = 0.05. This metabolite pattern was associated with greater adiposity and metabolic risk among female offspring throughout the late childhood-to-adolescence transition. Future studies are warranted to confirm our findings.
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Affiliation(s)
- Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Room 208, 12474 E. 19th Ave, Aurora, CO, 80045, USA.
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | - Brandy M Ringham
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Room 208, 12474 E. 19th Ave, Aurora, CO, 80045, USA
| | - Harry A Smith
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Room 208, 12474 E. 19th Ave, Aurora, CO, 80045, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Katerina M Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Room 208, 12474 E. 19th Ave, Aurora, CO, 80045, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Perng W, Tamayo-Ortiz M, Tang L, Sánchez BN, Cantoral A, Meeker JD, Dolinoy DC, Roberts EF, Martinez-Mier EA, Lamadrid-Figueroa H, Song PXK, Ettinger AS, Wright R, Arora M, Schnaas L, Watkins DJ, Goodrich JM, Garcia RC, Solano-Gonzalez M, Bautista-Arredondo LF, Mercado-Garcia A, Hu H, Hernandez-Avila M, Tellez-Rojo MM, Peterson KE. Early Life Exposure in Mexico to ENvironmental Toxicants (ELEMENT) Project. BMJ Open 2019; 9:e030427. [PMID: 31455712 PMCID: PMC6720157 DOI: 10.1136/bmjopen-2019-030427] [Citation(s) in RCA: 67] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 07/23/2019] [Accepted: 07/25/2019] [Indexed: 11/17/2022] Open
Abstract
PURPOSE The Early Life Exposure in Mexico to ENvironmental Toxicants (ELEMENT) Project is a mother-child pregnancy and birth cohort originally initiated in the mid-1990s to explore: (1) whether enhanced mobilisation of lead from maternal bone stores during pregnancy poses a risk to fetal and subsequent offspring neurodevelopment; and (2) whether maternal calcium supplementation during pregnancy and lactation can suppress bone lead mobilisation and mitigate the adverse effects of lead exposure on offspring health and development. Through utilisation of carefully archived biospecimens to measure other prenatal exposures, banking of DNA and rigorous measurement of a diverse array of outcomes, ELEMENT has since evolved into a major resource for research on early life exposures and developmental outcomes. PARTICIPANTS n=1643 mother-child pairs sequentially recruited (between 1994 and 2003) during pregnancy or at delivery from maternity hospitals in Mexico City, Mexico. FINDINGS TO DATE Maternal bone (eg, patella, tibia) is an endogenous source for fetal lead exposure due to mobilisation of stored lead into circulation during pregnancy and lactation, leading to increased risk of miscarriage, low birth weight and smaller head circumference, and transfer of lead into breastmilk. Daily supplementation with 1200 mg of elemental calcium during pregnancy and lactation reduces lead resorption from maternal bone and thereby, levels of circulating lead. Beyond perinatal outcomes, early life exposure to lead is associated with neurocognitive deficits, behavioural disorders, higher blood pressure and lower weight in offspring during childhood. Some of these relationships were modified by dietary factors; genetic polymorphisms specific for iron, folate and lipid metabolism; and timing of exposure. Research has also expanded to include findings published on other toxicants such as those associated with personal care products and plastics (eg, phthalates, bisphenol A), other metals (eg, mercury, manganese, cadmium), pesticides (organophosphates) and fluoride; other biomarkers (eg, toxicant levels in plasma, hair and teeth); other outcomes (eg, sexual maturation, metabolic syndrome, dental caries); and identification of novel mechanisms via epigenetic and metabolomics profiling. FUTURE PLANS As the ELEMENT mothers and children age, we plan to (1) continue studying the long-term consequences of toxicant exposure during the perinatal period on adolescent and young adult outcomes as well as outcomes related to the original ELEMENT mothers, such as their metabolic and bone health during perimenopause; and (2) follow the third generation of participants (children of the children) to study intergenerational effects of in utero exposures. TRIAL REGISTRATION NUMBER NCT00558623.
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Affiliation(s)
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Center, Aurora, Colorado, USA
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Center, Aurora, Colorado, USA
| | - Marcela Tamayo-Ortiz
- National Council of Science and Technology, National Institute of Public Health, Mexico City, Mexico
| | - Lu Tang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Brisa N Sánchez
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Alejandra Cantoral
- National Council of Science and Technology, National Institute of Public Health, Mexico City, Mexico
| | - John D Meeker
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Dana C Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, United States
| | - Elizabeth F Roberts
- Department of Anthropology, University of Michigan, Ann Arbor, Michigan, USA
| | - Esperanza Angeles Martinez-Mier
- Department of Cariology, Operative Dentistry and Dental Public Health, Indiana University School of Dentistry, Indianapolis, Indiana, USA
| | | | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Adrienne S Ettinger
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Robert Wright
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai Hospital, New York, New York, USA
| | - Manish Arora
- Department of Environmental Medicine & Public Health, Icahn School of Medicine at Mount Sinai Hospital, New York, New York, USA
| | - Lourdes Schnaas
- Division of Research in Community Interventions, Instituto Nacional de Perinatologia, Mexico City, Mexico
| | - Deborah J Watkins
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Robin C Garcia
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Maritsa Solano-Gonzalez
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | | | - Adriana Mercado-Garcia
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Howard Hu
- Department of Environmental and Occupational Health, University of Washington School of Public Health, Seattle, Washington, USA
| | - Mauricio Hernandez-Avila
- Dirección de Prestaciones Económicas y Sociales, Mexican Institute of Social Security, Mexico City, Mexico
| | - Martha Maria Tellez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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Isganaitis E, Venditti S, Matthews TJ, Lerin C, Demerath EW, Fields DA. Maternal obesity and the human milk metabolome: associations with infant body composition and postnatal weight gain. Am J Clin Nutr 2019; 110:111-120. [PMID: 30968129 PMCID: PMC6599743 DOI: 10.1093/ajcn/nqy334] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 09/28/2018] [Accepted: 10/24/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Maternal obesity is a risk factor for childhood obesity; this is a major public health concern given that ∼40% of pregnant women are either overweight or obese. Whether differences in milk composition in lean compared with obese women contribute to childhood obesity is unclear. OBJECTIVES We aimed to analyze relationships between maternal obesity and human milk metabolites, infant body composition, and postnatal weight gain. METHODS This was a prospective study in which mothers intending to breastfeed exclusively, and their newborn infants, were enrolled at delivery (n = 35 mother-infant pairs). We excluded mothers with diabetes, other medical conditions, or pregnancy complications. Participants were grouped by maternal prepregnancy BMI <25 (lean) or ≥25 kg/m2 (overweight/obese). We analyzed infant body composition by dual-energy X-ray absorptiometry and used untargeted liquid chromatography-gas chromatography-mass spectrometry to measure the milk content of 275 metabolites at 1 and 6 mo postpartum. RESULTS At 1 mo postpartum, 10 metabolites differed between overweight/obese and lean groups with nominal P < 0.05, but none was altered with a false discovery rate <0.25. Many differentially abundant metabolites belonged to the same chemical class; e.g., 4/10 metabolites were nucleotide derivatives, and 3/10 were human milk oligosaccharides. Milk adenine correlated positively with both continuously distributed maternal BMI and with infant adiposity and fat accrual. Analysis of milk composition at 6 mo postpartum revealed 20 differentially abundant metabolites (P < 0.05) in overweight/obese compared with lean women, including 6 metabolites with a false discovery rate of <0.25. At both 1 and 6 mo, human milk abundance of 1,5-anhydroglucitol, which has not previously been described in milk, was positively associated with maternal BMI. CONCLUSIONS Maternal obesity is associated with changes in the human milk metabolome. While only a subset of metabolites correlated with both maternal and infant weight, these point to potential milk-dependent mechanisms for mother-child transmission of obesity. This trial was registered at www.clinicaltrials.gov as NCT02535637.
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Affiliation(s)
- Elvira Isganaitis
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Pediatrics, Harvard Medical School, Boston, MA
| | | | | | - Carles Lerin
- Endocrinology Department, Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - David A Fields
- Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK
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Perng W, Tang L, Song PXK, Goran M, Tellez Rojo MM, Cantoral A, Peterson KE. Urate and Nonanoate Mark the Relationship between Sugar-Sweetened Beverage Intake and Blood Pressure in Adolescent Girls: A Metabolomics Analysis in the ELEMENT Cohort. Metabolites 2019; 9:metabo9050100. [PMID: 31108933 PMCID: PMC6572261 DOI: 10.3390/metabo9050100] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/14/2019] [Accepted: 05/15/2019] [Indexed: 12/20/2022] Open
Abstract
We sought to identify metabolites that mark the relationship of sugar-sweetened beverage (SSB) intake with adiposity and metabolic risk among boys (n = 114) and girls (n = 128) aged 8–14 years. We conducted the analysis in three steps: (1) linear regression to examine associations of SSB intake (quartiles) with adiposity, glycemia, lipids, and blood pressure (BP); (2) least absolute shrinkage and selection operator (LASSO) regression to identify SSB-associated metabolites from an untargeted dataset of 938 metabolites; and (3) linear regression to determine whether SSB-related metabolites are also associated with adiposity and metabolic risk. In girls, SSB intake was associated with marginally higher BP (Q2 vs, Q1: 1.11 [−3.90, 6.13], Q3 vs. Q1: 1.16 [−3.81, 6.13], Q4 vs. Q1: 4.65 [−0.22, 9.53] mmHg systolic blood pressure (SBP); P-trend = 0.07). In boys, SSB intake corresponded with higher C-peptide insulin resistance (Q2 vs. Q1: 0.06 [−0.06, 0.19], Q3 vs. Q1: 0.01 [−0.12, 0.14], Q4 vs. Q1: 0.17 [0.04, 0.30] ng/mL; P-trend = 0.03) and leptin (P-trend = 0.02). LASSO identified 6 annotated metabolites in girls (5-methyl-tetrohydrofolate, phenylephrine, urate, nonanoate, deoxyuridine, sn-glycero-3-phosphocholine) and 3 annotated metabolites in boys (2-piperidinone, octanoylcarnitine, catechol) associated with SSB intake. Among girls, urate and nonanoate marked the relationship of SSB intake with BP. None of the SSB-associated metabolites were related to health outcomes in boys.
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Affiliation(s)
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, Anschutz Medical Center, Aurora, CO 80045, USA.
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Anschutz Medical Center, Aurora, CO 80045, USA.
| | - Lu Tang
- Department of Biostatistics, University of Pittsburgh School of Public Health, Pittsburgh, PA 15261, USA.
| | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48105, USA.
| | - Michael Goran
- Program for Diabetes and Obesity, The Saban Research Institute, Children's Hospital of Los Angeles, Los Angeles, CA 90027, USA.
| | - Martha Maria Tellez Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca 62100, México.
| | - Alejandra Cantoral
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca 62100, México.
- CONACYT, National Institute of Public Health, Center for Research on Nutrition and Health, Cuernavaca, Morelos 62100, Mexico.
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI 48105, USA.
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Hellmuth C, Kirchberg FF, Brandt S, Moß A, Walter V, Rothenbacher D, Brenner H, Grote V, Gruszfeld D, Socha P, Closa-Monasterolo R, Escribano J, Luque V, Verduci E, Mariani B, Langhendries JP, Poncelet P, Heinrich J, Lehmann I, Standl M, Uhl O, Koletzko B, Thiering E, Wabitsch M. An individual participant data meta-analysis on metabolomics profiles for obesity and insulin resistance in European children. Sci Rep 2019; 9:5053. [PMID: 30911015 PMCID: PMC6433919 DOI: 10.1038/s41598-019-41449-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 02/27/2019] [Indexed: 01/17/2023] Open
Abstract
Childhood obesity prevalence is rising in countries worldwide. A variety of etiologic factors contribute to childhood obesity but little is known about underlying biochemical mechanisms. We performed an individual participant meta-analysis including 1,020 pre-pubertal children from three European studies and investigated the associations of 285 metabolites measured by LC/MS-MS with BMI z-score, height, weight, HOMA, and lipoprotein concentrations. Seventeen metabolites were significantly associated with BMI z-score. Sphingomyelin (SM) 32:2 showed the strongest association with BMI z-score (P = 4.68 × 10−23) and was also closely related to weight, and less strongly to height and LDL, but not to HOMA. Mass spectrometric analyses identified SM 32:2 as myristic acid containing SM d18:2/14:0. Thirty-five metabolites were significantly associated to HOMA index. Alanine showed the strongest positive association with HOMA (P = 9.77 × 10−16), while acylcarnitines and non-esterified fatty acids were negatively associated with HOMA. SM d18:2/14:0 is a powerful marker for molecular changes in childhood obesity. Tracing back the origin of SM 32:2 to dietary source in combination with genetic predisposition will path the way for early intervention programs. Metabolic profiling might facilitate risk prediction and personalized interventions in overweight children.
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Affiliation(s)
- Christian Hellmuth
- LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Div. Metabolic and Nutritional Medicine, 80336, Munich, Germany
| | - Franca F Kirchberg
- LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Div. Metabolic and Nutritional Medicine, 80336, Munich, Germany
| | - Stephanie Brandt
- Division of Pediatric Endocrinology and Diabetes, Interdisciplinary Obesity Unit, Department of Pediatrics and Adolescent Medicine, University of Ulm, 89081, Ulm, Germany
| | - Anja Moß
- Division of Pediatric Endocrinology and Diabetes, Interdisciplinary Obesity Unit, Department of Pediatrics and Adolescent Medicine, University of Ulm, 89081, Ulm, Germany
| | - Viola Walter
- Division of Clinical Epidemiology and Aging Research, German Cancer Reasearch Center (DKFZ), 69120, Heidelberg, Germany
| | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Reasearch Center (DKFZ), 69120, Heidelberg, Germany
| | - Veit Grote
- LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Div. Metabolic and Nutritional Medicine, 80336, Munich, Germany
| | - Dariusz Gruszfeld
- Neonatal Intensive Care Unit, Children's Memorial Health Institute, 04-736, Warsaw, Poland
| | - Piotr Socha
- Neonatal Intensive Care Unit, Children's Memorial Health Institute, 04-736, Warsaw, Poland
| | - Ricardo Closa-Monasterolo
- Pediatric Nutrition and Development Research Unit, Universitat Rovira I Virgili, IISPV, 43201, Reus, Spain
| | - Joaquin Escribano
- Pediatric Nutrition and Development Research Unit, Universitat Rovira I Virgili, IISPV, 43201, Reus, Spain
| | - Veronica Luque
- Pediatric Nutrition and Development Research Unit, Universitat Rovira I Virgili, IISPV, 43201, Reus, Spain
| | - Elvira Verduci
- Department of Paediatrics, San Paolo Hospital, University of Milan, 20142, Milano, Italy
| | - Benedetta Mariani
- Department of Paediatrics, San Paolo Hospital, University of Milan, 20142, Milano, Italy
| | | | - Pascale Poncelet
- Hôpital Universitaire des enfants Reine Fabila, 1020, Bruxelles, Belgium
| | - Joachim Heinrich
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, 85764, Neuherberg, Germany.,Ludwig-Maximilians-Universität München, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, 80336, Munich, Germany
| | - Irina Lehmann
- Department of Environmental Immunology/Core Facility Studies, Helmholtz Centre for Environmental Research - UFZ, 04318, Leipzig, Germany.,Berlin Institute of Health and Charité- Universitätsmedizin Berlin, Molecular Epidemiology Unit, Berlin, Germany
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Olaf Uhl
- LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Div. Metabolic and Nutritional Medicine, 80336, Munich, Germany
| | - Berthold Koletzko
- LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Div. Metabolic and Nutritional Medicine, 80336, Munich, Germany.
| | - Elisabeth Thiering
- LMU - Ludwig-Maximilians-Universität München, Dr. von Hauner Children's Hospital, Div. Metabolic and Nutritional Medicine, 80336, Munich, Germany.,Institute of Epidemiology I, Helmholtz Zentrum München- German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Martin Wabitsch
- Division of Pediatric Endocrinology and Diabetes, Interdisciplinary Obesity Unit, Department of Pediatrics and Adolescent Medicine, University of Ulm, 89081, Ulm, Germany
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28
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Perng W, Tang L, Song PXK, Tellez-Rojo MM, Cantoral A, Peterson KE. Metabolomic profiles and development of metabolic risk during the pubertal transition: a prospective study in the ELEMENT Project. Pediatr Res 2019; 85:262-268. [PMID: 30297880 PMCID: PMC6377825 DOI: 10.1038/s41390-018-0195-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 08/22/2018] [Accepted: 09/10/2018] [Indexed: 11/08/2022]
Abstract
OBJECTIVES (1) Examine associations of a branched-chain amino acid (BCAA) metabolite pattern with metabolic risk across adolescence; (2) use Least Absolute Shrinkage and Selection Operator (LASSO) to identify novel metabolites of metabolic risk. METHODS We used linear regression to examine associations of a BCAA score with change (∆) in metabolic biomarkers over 5-year follow-up in 179 adolescents 8-14 years at baseline. Next, we applied LASSO, a regularized regression technique well suited for reduction of high-dimensional data, to identify metabolite predictors of ∆biomarkers. RESULTS In boys, the BCAA score corresponded with decreasing C-peptide, C-peptide-based insulin resistance (CP-IR), total cholesterol (TC), and low-density-lipoprotein cholesterol (LDL). In pubertal girls, the BCAA pattern corresponded with increasing C-peptide and leptin. LASSO identified asparagine as a predictor of decreasing C-peptide (β = -0.33) and CP-IR (β = -0.012), and acetyl-carnitine (β = 2.098), 4-hydroxyproline (β = -0.050), ornithine (β = -0.353), and α-aminoisobutyric acid (β = -0.793) as determinants of TC in boys. In girls, histidine was a negative determinant of TC (β = -0.033). CONCLUSIONS The BCAA pattern was associated with ∆glycemia and ∆lipids in a sex-specific manner. LASSO identified asparagine, which influences growth hormone secretion, as a determinant of decreasing C-peptide and CP-IR in boys, and metabolites on lipid metabolism pathways as determinants of decreasing cholesterol in both sexes.
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Affiliation(s)
- Wei Perng
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
| | - Lu Tang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Peter X K Song
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Martha Maria Tellez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Mexico City, Mexico
| | - Alejandra Cantoral
- CONACYT, National Institute of Public Health, Center for Research on Nutrition and Health, Mexico City, Mexico
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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29
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Wu Y, Sánchez BN, Goodrich JM, Dolinoy DC, Cantoral A, Mercado-Garcia A, Ruiz-Narváez EA, Téllez-Rojo MM, Peterson KE. Dietary exposures, epigenetics and pubertal tempo. ENVIRONMENTAL EPIGENETICS 2019; 5:dvz002. [PMID: 30863553 PMCID: PMC6404688 DOI: 10.1093/eep/dvz002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/16/2019] [Accepted: 01/30/2019] [Indexed: 05/11/2023]
Abstract
Gene expression changes mediated by DNA methylation may play a role in pubertal tempo regulation, and availability of methyl donor nutrients affects these pathways. We examined first trimester maternal and adolescent diet patterns that may be associated with DNA methylation at long interspersed nucleotide (LINE-1) repetitive elements in adolescence using least absolute shrinkage and selection operator (LASSO) and calculated an 'Epigenetics-Associated Diet Score' (EADS) for each pattern; then tested the associations of these scores with pubertal tempo among adolescent boys and girls. The analytic sample included 118 boys and 132 girls aged 10-18 years. DNA methylation at LINE-1 repetitive elements was quantified. Typical maternal and adolescent nutrient intakes were estimated using food frequency questionnaires. Interval-censored time to event and ordinal regression models were used to examine associations EADS scores with pubertal tempo using physician-assessed Tanner stages and self-reported menarche, respectively, adjusted for confounders. We observed associations between maternal EADS and pubertal onset, but not pubertal progression. Each standard deviation (SD) greater maternal EADS was associated with 52% higher odds of having later onset of menarche in both cross-sectional and prospective analysis (P = 0.031 and 0.028, respectively). In contrast, we observed associations between adolescent EADS and pubertal progression, but not pubertal onset. Among boys, for each SD higher adolescent EADS, there was 13% increase in odds of slower genital progression (P = 0.050), as well as 26 and 27% increase in odds of slower left and right testicular development, respectively (P = 0.001). Epigenetic-associated diet influences pubertal tempo in a sex- and timing-specific manner.
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Affiliation(s)
- Yue Wu
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Brisa N Sánchez
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jaclyn M Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Dana C Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
| | - Alejandra Cantoral
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Adriana Mercado-Garcia
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Edward A Ruiz-Narváez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Martha M Téllez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Karen E Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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30
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Wu Y, Peterson KE, Sánchez BN, Dolinoy DC, Mercado-Garcia A, Téllez-Rojo MM, Goodrich JM. Association of blood leukocyte DNA methylation at LINE-1 and growth-related candidate genes with pubertal onset and progression. Epigenetics 2018; 13:1222-1233. [PMID: 30582410 PMCID: PMC6986794 DOI: 10.1080/15592294.2018.1556198] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2018] [Revised: 10/01/2018] [Accepted: 11/21/2018] [Indexed: 01/15/2023] Open
Abstract
Puberty is a developmentally plastic phase. Variations in pubertal tempo have implications for the risk of later adult diseases. Influences on pubertal tempo have been widely discussed, but the underlying biological mechanisms remain unclear. Epigenetic modifications are known to regulate development processes; they could play an important role in affecting pubertal outcomes. We conducted a population-based analysis to investigate the association of peripubertal blood DNA methylation at LINE-1 and growth-related candidate genes with pubertal onset and progression in healthy adolescents. The analytic sample included 114 males and 129 females aged 10 to 18 years. DNA methylation at growth-related candidate loci IGF2, H19, HSD11B2, as well as LINE-1 repetitive elements were quantified. Cox survival and ordinal regression models were used to examine sex- and locus-specific associations of epigenetic markers with pubertal development using physician-assessed Tanner stages and self-reported menarche, adjusted for covariates. Among boys, DNA methylation at H19 was associated with later pubarche. HSD11B2 methylation was associated with earlier onset of pubic hair and genitalia development and slower pubertal progression. IGF2 was associated with later onset of genital development. Among girls, LINE-1 methylation was associated with later onset of breast development. For each percent increase of methylation at H19, there was 5% increased odds in the earlier onset of breast development. DNA methylation of IGF2 was associated with earlier onset of pubic hair. DNA methylation at genes known to influence early-life growth may also influence pubertal outcomes.
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Affiliation(s)
- Yue Wu
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Karen E. Peterson
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
| | - Brisa N. Sánchez
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Dana C. Dolinoy
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Adriana Mercado-Garcia
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Martha M. Téllez-Rojo
- Center for Research on Nutrition and Health, National Institute of Public Health, Cuernavaca, Morelos, México
| | - Jaclyn M. Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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Perng W, Rifas-Shiman SL, Hivert MF, Chavarro JE, Oken E. Branched Chain Amino Acids, Androgen Hormones, and Metabolic Risk Across Early Adolescence: A Prospective Study in Project Viva. Obesity (Silver Spring) 2018; 26:916-926. [PMID: 29575812 PMCID: PMC5916029 DOI: 10.1002/oby.22164] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 01/30/2018] [Accepted: 02/14/2018] [Indexed: 12/15/2022]
Abstract
OBJECTIVE This study aimed to examine the associations of two obesity-related metabolite patterns with changes in metabolic biomarkers during early adolescence. METHODS Multivariable linear regression was used to examine associations of branched chain amino acid (BCAA) and androgen hormone patterns with changes in glycemia (fasting glucose, insulin, homeostatic model assessment of insulin resistance), adipokines (leptin, adiponectin), inflammation (C-reactive protein, interleukin-6), lipid profile, and blood pressure during ∼5 years of follow-up among 213 children aged 6 to 10 years at baseline. Covariates included baseline age, pubertal status, biomarker level, and BMI percentile, and age at follow-up. Interactions with sex and baseline BMI percentile were also considered. RESULTS The median age at baseline was 7.7 years; 48.8% were boys. In adjusted models, each 1 unit of the BCAA pattern corresponded with a 4.82 (95% CI: 0.92 to 8.71) mg/dL decrease in fasting glucose in boys. In girls, the BCAA pattern was associated with an increase in triglycerides (4.17 [0.03 to 8.32] mg/dL). The androgen pattern was associated with decreased leptin (-2.35 [-4.34 to -0.35] ng/dL) and increased C-reactive protein (0.28 [0.03 to 0.54] mg/dL) in girls. These relationships did not differ by baseline BMI percentile. CONCLUSIONS The BCAA and androgen hormone metabolite patterns are related to changes in metabolic parameters in a sex-specific manner during early adolescence.
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Affiliation(s)
- Wei Perng
- Department of Nutritional Sciences, Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Sheryl L. Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jorge E. Chavarro
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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32
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Maternal intake of omega-3 and omega-6 polyunsaturated fatty acids during mid-pregnancy is inversely associated with linear growth. J Dev Orig Health Dis 2018; 9:432-441. [PMID: 29665872 DOI: 10.1017/s2040174418000193] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
This study investigates relations of maternal N-3 and N-6 polyunsaturated fatty acids (PUFA) intake during pregnancy with offspring body mass index (BMI), height z-score and metabolic risk (fasting glucose, C-peptide, leptin, lipid profile) during peripuberty (8-14 years) among 236 mother-child pairs in Mexico. We used food frequency questionnaire data to quantify trimester-specific intake of N-3 alpha-linolenic acid, eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA); N-6 linoleic acid and arachidonic acid (AA); and N-6:N-3 (AA:EPA+DHA), which accounts for the fact that the two PUFA families have opposing effects on physiology. Next, we used multivariable linear regression models that accounted for maternal education and parity, and child's age, sex and pubertal status, to examine associations of PUFA intake with the offspring outcomes. In models where BMI z-score was the outcome, we also adjusted for height z-score. We found that higher second trimester intake of EPA, DHA and AA were associated with lower offspring BMI and height z-score. For example, each 1-s.d. increment in second trimester EPA intake corresponded with 0.25 (95% CI: 0.03, 0.47) z-scores lower BMI and 0.20 (0.05, 0.36) z-scores lower height. Accounting for height z-score in models where BMI z-score was the outcome attenuated estimates [e.g., EPA: -0.16 (-0.37, 0.05)], suggesting that this relationship was driven by slower linear growth rather than excess adiposity. Maternal PUFA intake was not associated with the offspring metabolic biomarkers. Our findings suggest that higher PUFA intake during mid-pregnancy is associated with lower attained height in offspring during peripuberty. Additional research is needed to elucidate mechanisms and to confirm findings in other populations.
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