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Wood CT, Truong T, Skinner AC, Armstrong SC, Perrin EM, Woo JG, Green CL. Timing and Magnitude of Peak Body Mass Index and Peak Weight Velocity in Infancy Predict Body Mass Index at 2 Years in a Retrospective Cohort of Electronic Health Record Data. J Pediatr 2023:S0022-3476(23)00115-4. [PMID: 36822510 DOI: 10.1016/j.jpeds.2023.01.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/10/2023] [Accepted: 01/13/2023] [Indexed: 02/23/2023]
Abstract
OBJECTIVES To use growth data from electronic health records to describe and model infant growth (weight velocity and peak body mass index [pBMI]) characteristics. STUDY DESIGN We extracted data from all children born at ≥34 weeks of gestation within one health system between 2014 and 2017. After excluding implausible growth data with an algorithm created for childhood growth, we estimated pBMI, peak weight and length velocities, and the odds of obesity at 2 years, adjusted for race, sex, ethnicity, and birth weight, by the magnitude of peak weight velocity, peak length velocity, and pBMI. RESULTS Among 6425 children (41% White, 28% Black, 26% other race; 16% Hispanic ethnicity), mean pBMI was 17.9 kg/m2 (SD 1.5) and mean age at pBMI was 9.6 months (SD 2.7). Mean peak weight velocity was 949 g (SD 165) per 2 weeks, and the mean peak length velocity was 3.4 cm (SD 0.3) per 2 weeks. Children with obesity at 2 years (n = 931, 14.5%) were more likely to be Hispanic, had greater peak weight and peak length velocities, and had 2 kg/m2 greater magnitude of pBMI than children without obesity. For each unit increase in pBMI, children had more than 4 times greater odds of obesity at age 2 years. CONCLUSIONS In a large sample of infants with clinical growth data tracked via electronic health records, we found associations between the magnitude and timing of peak infant BMI and obesity at 2 years of age.
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Affiliation(s)
- Charles T Wood
- Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC.
| | - Tracy Truong
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC
| | - Asheley C Skinner
- Department of Population Health Sciences, Duke University Medical School, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Sarah C Armstrong
- Division of General Pediatrics and Adolescent Health and Duke Center for Childhood Obesity Research, Department of Pediatrics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Eliana M Perrin
- Department of Pediatrics, Johns Hopkins School of Medicine, and School of Nursing, Baltimore, MD
| | - Jessica G Woo
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Cynthia L Green
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC; Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
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Qureshi F, Aris IM, Rifas-Shiman SL, Perng W, Oken E, Rich-Edwards J, Cardenas A, Baccarelli AA, Enlow MB, Belfort MB, Tiemeier H. Associations of cord blood leukocyte telomere length with adiposity growth from infancy to adolescence. Pediatr Obes 2023; 18:e12977. [PMID: 36085441 PMCID: PMC9772131 DOI: 10.1111/ijpo.12977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 08/09/2022] [Accepted: 08/15/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE Leukocyte telomere length (LTL) may be a biomarker for chronic disease susceptibility, but no work has tested this hypothesis directly. Our study investigated associations of LTL at birth with markers of adiposity growth that are linked with cardiometabolic health later in life. METHODS Participants were 375 children in Project Viva (48% female, 71% White). Body mass index (BMI) trajectories from birth to 18 years were tracked using repeated measures of BMI collected in physical examinations and via medical records, then used to predict age (months) and magnitude (kg/m2 ) of BMI peak and rebound. LTL was measured from cord blood via duplex quantitative PCR. A binary variable indicating LTL shorter than the reference population average was the primary exposure. RESULTS LTL was unrelated to BMI at peak or rebound, but associations were apparent with the timing of BMI growth milestones. Short LTL was related to a later age of peak for females (β = 0.99, 95% CI = 0.16, 1.82; psex interaction = 0.015) and an earlier age of rebound for both males and females (βcombined = -5.26, 95% CI = -9.44, -1.08). CONCLUSION LTL at birth may be an early biomarker of altered adiposity growth. Newborn telomere biology may shed new insight into the developmental origins of health and disease.
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Affiliation(s)
- Farah Qureshi
- Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Izzuddin M Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, 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, Massachusetts, USA
| | - Wei Perng
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, 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, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Janet Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, California, USA
- Center for Computational Biology, University of California Berkeley, Berkeley, California, USA
| | - Andrea A Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Michelle Bosquet Enlow
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, Massachusetts, USA
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA
| | - Mandy B Belfort
- Department of Pediatric Newborn Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Henning Tiemeier
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 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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Lin D, Chen DD, Huang J, Li Y, Wen XS, Shi HJ. Longitudinal association between the timing of adiposity peak and rebound and overweight at seven years of age. BMC Pediatr 2022; 22:215. [PMID: 35439975 PMCID: PMC9016949 DOI: 10.1186/s12887-022-03190-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 03/04/2022] [Indexed: 11/23/2022] Open
Abstract
Background The timing of adiposity peak (AP) or adiposity rebound (AR) is a determinant of overweight or obesity in adolescence and adulthood. However, limited studies have reported the association in young school-age children. We aimed to evaluate this association and explore the role of health behaviours in it. Methods Routinely collected, sequential, anthropometric data from the 1st to 80th months of age were used to estimate AP and AR timings in 2330 children born in Shanghai between 2010 and 2013. Multivariate regression analyses were applied to identify the associations between the AP or AR timings and the risk of developing overweight or obesity in first-grade school children. The roles of health behaviours, including dietary patterns, physical activity level, sleep and snacking habits, and screen time, were also evaluated. Results Children with a late AP or an early AR were at higher risk of overweight but not obesity or central obesity in their first grade. A high physical activity level was associated with a lower risk of having overweight in children with a late AP, and limited screen time was associated with a decreased risk of having overweight or obesity in children with an early AR. The absence of a late-night snacking habit in children with a non-early AR indicated a decreased risk of having overweight. However, this association was not observed among children with an early AR. Conclusion The timings of AP and AR are tied to overweight in middle childhood. Prevention strategies are suggested to move forward to control late AP and early AR. Supplementary Information The online version contains supplementary material available at 10.1186/s12887-022-03190-9.
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Affiliation(s)
- Dan Lin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China
| | - Di-di Chen
- Minhang District Centre of Disease Control and Prevention, Shanghai, China.,Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Jun Huang
- Minhang Maternal and Child Health Centre, Shanghai, China
| | - Yun Li
- Minhang Maternal and Child Health Centre, Shanghai, China
| | - Xiao-Sa Wen
- Minhang District Centre of Disease Control and Prevention, Shanghai, China.,Minhang Branch, School of Public Health, Fudan University, Shanghai, China
| | - Hui-Jing Shi
- Department of Maternal, Child and Adolescent Health, School of Public Health, Fudan University, Shanghai, China.
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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: 0.4] [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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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: 79] [Impact Index Per Article: 13.2] [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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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: 1.5] [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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