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Cohen CC, Harrall KK, Hu H, Glueck DH, Perng W, Shankar K, Dabelea D. Associations of infant feeding practices with abdominal and hepatic fat measures in childhood in the longitudinal Healthy Start Study. Am J Clin Nutr 2024; 119:560-568. [PMID: 38000661 PMCID: PMC10884608 DOI: 10.1016/j.ajcnut.2023.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 11/16/2023] [Accepted: 11/21/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND Infant feeding patterns have been linked with obesity risk in childhood, but associations with precise measures of body fat distribution are unclear. OBJECTIVE We examined associations of infant feeding practices with abdominal fat and hepatic fat trajectories in childhood. METHODS This study included 356 children in the Healthy Start Study, a prospective prebirth cohort in Colorado. Infant feeding practices were assessed by postnatal interviews and categorized as any human milk <6 mo compared with ≥6 mo; complementary foods introduced ≤4 mo compared with >4 mo; soda introduced ≤18 mo compared with >18 mo. Abdominal subcutaneous (SAT) and visceral adipose tissue (VAT) areas and hepatic fat (%) were assessed by magnetic resonance imaging in early and middle childhood (median 5 and 9 y old, respectively). We examined associations of infant feeding with adiposity trajectories across childhood using linear mixed models. RESULTS In the sample of children, 67% consumed human milk ≥6 mo, 75% were introduced to complementary foods at >4 mo, and 81% were introduced to soda at >18 mo. We did not find any associations between duration of any human milk consumption and childhood adiposity trajectories. Early introduction to complementary foods (≤4 mo) was associated with faster rates of change for SAT and VAT during childhood (Slope [95% CI]: 15.1 [10.7,19.4] cm2/y for SAT; 2.5 [1.9,2.9] cm2/y for VAT), compared with introduction at >4 mo (5.5 [3.0,8.0] cm2/y and 1.6 [1.3,1.9] cm2/y, respectively). Similarly, early introduction to soda (≤18 mo) was associated with faster rates of change for all 3 outcomes during childhood (Slope [95% CI]: 20.6 [15.0,26.1] cm2/y for SAT, 2.7 [2.0,3.3] cm2/y for VAT, 0.3 [0.1,0.5] %/year for hepatic fat) compared with delayed introduction (5.4 [2.8,8.0] cm2/y, 1.7 [1.3, 2.0] cm2/y, -0.1 [-0.2,0.0] %/y, respectively). CONCLUSIONS The timing of introduction and quality of complementary foods in infancy was associated with rates of abdominal and hepatic fat accrual during childhood. Experimental studies are needed to assess underlying mechanisms.
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Affiliation(s)
- Catherine C Cohen
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States.
| | - Kylie K Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Houchun Hu
- Department of Radiology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kartik Shankar
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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Herath MP, Beckett JM, Jayasinghe S, Byrne NM, Ahuja KDK, Hills AP. Body composition assessment in 6-month-old infants: A comparison of two- and three-compartment models using data from the Baby-bod study. Eur J Clin Nutr 2024:10.1038/s41430-023-01394-5. [PMID: 38233534 DOI: 10.1038/s41430-023-01394-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/07/2023] [Accepted: 12/12/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND/OBJECTIVES An appreciation of infant body composition is helpful to understand the 'quality' of growth in early life. Air displacement plethysmography (ADP) using PEA POD and the deuterium dilution (DD) technique are commonly used body composition approaches in infants. We evaluated the comparability of body composition assessed using both techniques with two-compartment (2C) and three-compartment (3C) models in 6-month-old infants. SUBJECTS/METHODS Infant fat mass (FM) and percent fat mass (%FM) obtained from a 2C model using PEA POD (2C-PP) and a 2C model using the deuterium dilution technique (2C-DD) were compared to those derived from a 3C model, and to each other, using Bland-Altman analysis and Deming regression. RESULTS Measurements were available from 68 infants (93% Caucasian, 53% male). The mean biases were not significant between any of the method comparisons. However, significant constant and proportional biases were identified in 2C-DD vs 3C and 2C-PP vs 2C-DD, but not in the 2C-PP vs 3C comparison. Furthermore, we observed significant associations between the mean differences and infants' percent total body water (%TBW). CONCLUSIONS While no significant between-method mean differences were found in body composition estimates, some comparisons revealed significant constant and proportional biases and notable associations between the mean differences and %TBW were observed. Our results emphasise the importance of method choice, ensuring methodological uniformity in long-term studies, and carefully considering and regulating multiple pre-analytical variables, such as the hydration status of the participants.
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Affiliation(s)
- Manoja P Herath
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, 7248, Australia
| | - Jeffrey M Beckett
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, 7248, Australia
| | - Sisitha Jayasinghe
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, 7248, Australia
| | - Nuala M Byrne
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, 7248, Australia
| | - Kiran D K Ahuja
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, 7248, Australia
| | - Andrew P Hills
- School of Health Sciences, College of Health and Medicine, University of Tasmania, Launceston, TAS, 7248, Australia.
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Waldrop SW, Niemiec S, Wood C, Gyllenhammer LE, Jansson T, Friedman JE, Tryggestad JB, Borengasser SJ, Davidson EJ, Yang IV, Kechris K, Dabelea D, Boyle KE. Cord blood DNA methylation of immune and lipid metabolism genes is associated with maternal triglycerides and child adiposity. Obesity (Silver Spring) 2024; 32:187-199. [PMID: 37869908 PMCID: PMC10872762 DOI: 10.1002/oby.23915] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 10/24/2023]
Abstract
OBJECTIVE Fetal exposures may impact offspring epigenetic signatures and adiposity. The authors hypothesized that maternal metabolic traits associate with cord blood DNA methylation, which, in turn, associates with child adiposity. METHODS Fasting serum was obtained in 588 pregnant women (27-34 weeks' gestation), and insulin, glucose, high-density lipoprotein cholesterol, triglycerides, and free fatty acids were measured. Cord blood DNA methylation and child adiposity were measured at birth, 4-6 months, and 4-6 years. The association of maternal metabolic traits with DNA methylation (429,246 CpGs) for differentially methylated probes (DMPs) and regions (DMRs) was tested. The association of the first principal component of each DMR with child adiposity was tested, and mediation analysis was performed. RESULTS Maternal triglycerides were associated with the most DMPs and DMRs of all traits tested (261 and 198, respectively, false discovery rate < 0.05). DMRs were near genes involved in immune function and lipid metabolism. Triglyceride-associated CpGs were associated with child adiposity at 4-6 months (32 CpGs) and 4-6 years (2 CpGs). One, near CD226, was observed at both timepoints, mediating 10% and 22% of the relationship between maternal triglycerides and child adiposity at 4-6 months and 4-6 years, respectively. CONCLUSIONS DNA methylation may play a role in the association of maternal triglycerides and child adiposity.
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Affiliation(s)
- Stephanie W. Waldrop
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Sierra Niemiec
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Cheyret Wood
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Lauren E. Gyllenhammer
- Department of Pediatrics, University of California, Irvine, School of Medicine, Irvine, CA, USA
| | - Thomas Jansson
- Department of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Jacob E. Friedman
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jeanie B. Tryggestad
- Harold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Sarah J. Borengasser
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Elizabeth J. Davidson
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Ivana V. Yang
- Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
| | - Dana Dabelea
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO USA
| | - Kristen E. Boyle
- Section of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO USA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO USA
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Knihtilä HM, Kachroo P, Shadid I, Raissadati A, Peng C, McElrath TF, Litonjua AA, Demeo DL, Loscalzo J, Weiss ST, Mirzakhani H. Cord blood DNA methylation signatures associated with preeclampsia are enriched for cardiovascular pathways: insights from the VDAART trial. EBioMedicine 2023; 98:104890. [PMID: 37995466 PMCID: PMC10709000 DOI: 10.1016/j.ebiom.2023.104890] [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: 06/22/2023] [Revised: 11/07/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023] Open
Abstract
BACKGROUND Preeclampsia has been associated with maternal epigenetic changes, in particular DNA methylation changes in the placenta. It has been suggested that preeclampsia could also cause DNA methylation changes in the neonate. We examined DNA methylation in relation to gene expression in the cord blood of offspring born to mothers with preeclampsia. METHODS This study included 128 mother-child pairs who participated in the Vitamin D Antenatal Asthma Reduction Trial (VDAART), where assessment of preeclampsia served as secondary outcome. We performed an epigenome-wide association study of preeclampsia and cord blood DNA methylation (Illumina 450 K chip). We then examined gene expression of the same subjects for validation and replicated the gene signatures in independent DNA methylation datasets. Lastly, we applied functional enrichment and network analyses to identify biological pathways that could potentially be involved in preeclampsia. FINDINGS In the cord blood samples (n = 128), 263 CpGs were differentially methylated (FDR <0.10) in preeclampsia (n = 16), of which 217 were annotated. Top pathways in the functional enrichment analysis included apelin signaling pathway and other endothelial and cardiovascular pathways. Of the 217 genes, 13 showed differential expression (p's < 0.001) in preeclampsia and 11 had been previously related to preeclampsia (p's < 0.0001). These genes were linked to apelin, cGMP and Notch signaling pathways, all having a role in angiogenic process and cardiovascular function. INTERPRETATION Preeclampsia is related to differential cord blood DNA methylation signatures of cardiovascular pathways, including the apelin signaling pathway. The association of these cord blood DNA methylation signatures with offspring's long-term morbidities due to preeclampsia should be further investigated. FUNDING VDAART is funded by National Heart, Lung, and Blood Institute grants of R01HL091528 and UH3OD023268. HMK is supported by Jane and Aatos Erkko Foundation, Paulo Foundation, and the Pediatric Research Foundation. HM is supported by K01 award from NHLBI (1K01HL146977-01A1). PK is supported by K99HL159234 from NIH/NHLBI.
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Affiliation(s)
- Hanna M Knihtilä
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Priyadarshini Kachroo
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Iskander Shadid
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center, Leiden, the Netherlands
| | - Alireza Raissadati
- Department of Pediatric Cardiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Cheng Peng
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Thomas F McElrath
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, USA
| | - Augusto A Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children's Hospital, University of Rochester Medical Center, Rochester, NY, USA
| | - Dawn L Demeo
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Joseph Loscalzo
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Scott T Weiss
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Hooman Mirzakhani
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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5
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Kuriyan R, Hills AP, Murphy-Alford A, Padmanabha R, Nyati LH, Byrne NM, Kurpad AV, Norris S. Body composition of infants at 6 months of age using a 3-compartment model. Eur J Clin Nutr 2023:10.1038/s41430-023-01351-2. [PMID: 37833566 DOI: 10.1038/s41430-023-01351-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 09/16/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND/OBJECTIVES Two compartment (2 C) models of body composition, including Air Displacement Plethysmography (ADP) and Deuterium Dilution (DD), assume constant composition of fat-free mass (FFM), while 3-compartment (3 C) model overcomes some of these assumptions; studies are limited in infants. The objective of the present study is to compare 3 C estimates of body composition in 6-mo. old infants from Australia, India, and South Africa, including FFM density and hydration, compare with published literature and to evaluate agreement of body composition estimates from ADP and DD. METHODS Body volume and water were measured in 176 healthy infants using ADP and DD. 3C-model estimates of fat mass (FM), FFM and its composition were calculated, compared between countries (age and sex adjusted) and with published literature. Agreement between estimates from ADP and DD were compared by Bland-Altman and correlation analyses. RESULTS South African infants had significantly higher % FM (11.5%) and density of FFM compared to Australian infants. Australian infants had significantly higher % FFM (74.7 ± 4.4%) compared to South African infants (71.4 ± 5.0) and higher FFMI (12.7 ± 0.8 kg/m2) compared to South African (12.3 ± 1.2 kg/m2) and Indian infants (11.9 ± 1.0 kg/m2). FFM composition of present study differed significantly from literature. Pooled three country estimates of FM and FFM were comparable between ADP and DD; mean difference of -0.05 (95% CI: -0.64, +0.55) kg and +0.05 (95% CI: -0.55, +0.64) kg. CONCLUSIONS 3C-model estimates of body composition in infants differed between countries; future studies are needed to confirm these findings and investigate causes for the differences.
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Affiliation(s)
| | | | | | | | | | | | | | - Shane Norris
- University of Witwatersrand, Johannesburg, South Africa
- University of Southampton, Southampton, UK
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6
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Kowalski K, Auerbach J, Martenies SE, Starling AP, Moore B, Dabelea D, Magzamen S. Neighborhood Walkability, Historical Redlining, and Childhood Obesity in Denver, Colorado. J Urban Health 2023; 100:103-117. [PMID: 36622547 PMCID: PMC9918655 DOI: 10.1007/s11524-022-00703-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/01/2022] [Indexed: 01/10/2023]
Abstract
Childhood obesity is a precursor to future health complications. In adults, neighborhood walkability is inversely associated with obesity prevalence. Recently, it has been shown that current urban walkability has been influenced by historical discriminatory neighborhood disinvestment. However, the relationship between this systemic racism and obesity has not been extensively studied. The objective of this study was to evaluate the association of neighborhood walkability and redlining, a historical practice of denying home loans to communities of color, with childhood obesity. We evaluated neighborhood walkability and walkable destinations for 250 participants of the Healthy Start cohort, based in the Denver metropolitan region. Eligible participants attended an examination between ages 4 and 8. Walkable destinations and redlining geolocations were determined based on residential addresses, and a weighting system for destination types was developed. Sidewalks and trails in Denver were included in the network analyst tool in ArcMap to calculate the precise walkable environment for each child. We implemented linear regression models to estimate associations between neighborhood characteristics and child body mass index (BMI) z-scores and fat mass percent. There was a significant association between child BMI and redlining (β: 1.36, 95% CI: 0.106, 2.620). We did not find an association between walkability measures and childhood obesity outcomes. We propose that cities such as Denver pursue built environment policies, such as inclusionary zoning and direct investments in neighborhoods that have been historically neglected, to reduce the childhood health impacts of segregated poverty, and suggest further studies on the influences that redlining and urban built environment factors have on childhood obesity.
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Affiliation(s)
- Katharina Kowalski
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA
| | - Jeremy Auerbach
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA
- Department of Community Health and Kinesiology, University of Illinois Urbana-Champaign, IL, Champaign, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Brianna Moore
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, CO, Fort Collins, USA.
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Dietary Diversity, Household Food Insecurity and Stunting among Children Aged 12 to 59 Months in N'Djamena-Chad. Nutrients 2023; 15:nu15030573. [PMID: 36771280 PMCID: PMC9920356 DOI: 10.3390/nu15030573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 01/17/2023] [Accepted: 01/20/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Household food insecurity is increasingly recognized as a global health problem, particularly in sub-Saharan Africa. This study aimed to contextualize the associations between household food insecurity, dietary diversity and stunting in N'Djamena. METHODS This study is a community-based cross-sectional study, and the SMART (Standardized Monitoring and Assessment of Relief and Transitions) methodology was used to calculate the sample size. A total of 881 households were selected for the survey. A 24-h recall evaluated the dietary diversity score (DDS), the Household Food Insecurity Access Scale (HFIAS) made it possible to assess household food insecurity (HFI), and stunting among children aged 12 to 59 months was assessed by anthropometric measurements. Logistic regression was constructed to determine the association between household food insecurity, dietary diversity, and stunting. The study was conducted from January to March 2022. RESULTS The prevalence of severe food insecurity was 16.6%, and that of stunting was 25.3%. The mean DDS was 6.5 ± 1.6. Severe food insecurity (OR 2.505, CI: 1.670-3.756) was significantly associated with stunting. The association between DDS and stunting was not significant. CONCLUSIONS This study's prevalence of household food insecurity and stunting was very high. Household food insecurity and household size were significantly associated with stunting.
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Gyllenhammer LE, Duensing AM, Keleher MR, Kechris K, Dabelea D, Boyle KE. Fat content in infant mesenchymal stem cells prospectively associates with childhood adiposity and fasting glucose. Obesity (Silver Spring) 2023; 31:37-42. [PMID: 36541155 PMCID: PMC9782692 DOI: 10.1002/oby.23594] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/22/2022] [Accepted: 09/06/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVE In human studies, new model systems are needed for improved mechanistic investigation of developmental predisposition for metabolic disease but also to serve as benchmarks in early life prevention or intervention efforts. In this regard, human infant umbilical cord-derived mesenchymal stem cells (MSCs) are an emerging tool. However, long-term clinical relevance to in vivo markers of metabolic disease is unknown. METHODS In a cohort of 124 mother/child dyads, this study tested the hypothesis that triglyceride content (TG) of infant MSCs undergoing adipogenesis in vitro (MSC-TG) is associated with in vivo adiposity (percent fat mass) from birth to early childhood and with fasting glucose and insulin in early childhood. RESULTS MSC-TG was positively associated with in vivo child adiposity at birth, age 4 to 6 months, and age 4 to 6 years. MSC-TG was associated with fasting glucose, but not insulin, at 4 to 6 years. Importantly, MSC-TG explained an additional 13% variance in child adiposity at 4 to 6 years, after accounting for other established birth predictors (weight and percent fat mass at birth) and other established covariates related to child adiposity (e.g., breastfeeding exposure, physical activity). CONCLUSIONS This work demonstrates the strength of the MSC model for predicting offspring metabolic phenotype into childhood, even when considering the important contribution of other early life risk factors.
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Affiliation(s)
- Lauren E. Gyllenhammer
- Department of Pediatrics, UCI School of MedicineUniversity of CaliforniaIrvineCaliforniaUSA
| | - Allison M. Duensing
- Section of Nutrition, Department of PediatricsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Madeline Rose Keleher
- Section of Nutrition, Department of PediatricsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Katerina Kechris
- Department of Biostatistics and Informatics, Colorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterAuroraColoradoUSA
| | - Dana Dabelea
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterAuroraColoradoUSA
- Department of Epidemiology, Colorado School of Public HealthUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
| | - Kristen E. Boyle
- Section of Nutrition, Department of PediatricsUniversity of Colorado Anschutz Medical CampusAuroraColoradoUSA
- The Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) CenterAuroraColoradoUSA
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9
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Moore BF, Kreitner KJ, Starling AP, Martenies SE, Magzamen S, Clark M, Dabelea D. Early-life exposure to tobacco and childhood adiposity: Identifying windows of susceptibility. Pediatr Obes 2022; 17:e12967. [PMID: 36350199 PMCID: PMC10035041 DOI: 10.1111/ijpo.12967] [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: 12/20/2021] [Revised: 07/11/2022] [Accepted: 07/18/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Early-life exposure to tobacco is associated with obesity, but the most susceptible developmental periods are unknown. OBJECTIVE To explore windows of susceptibility in a cohort of 568 mother-child pairs. METHODS We measured seven measures of tobacco exposure (five self-reported and two biomarkers) spanning from pre-conception to age 5 years. Mothers self-reported active smoking (pre-conception, 17 weeks, and delivery) and household smokers (5 and 18 months postnatally). Cotinine was measured in maternal urine (27 weeks) and child urine (5 years). Adiposity (fat mass percentage) was measured at birth and 5 years via air displacement plethysmography. Using a multiple informant approach, we tested whether adiposity (5 years) and changes in adiposity (from birth to 5 years) differed by the seven measures of tobacco exposure. RESULTS The associations may depend on timing. For example, only pre-conception (β = 3.1%; 95% CI: 1.0-5.1) and late gestation (β = 4.0%; 95% CI: 0.4-7.6) exposures influenced adiposity accretion from birth to 5 years (p for interaction = 0.01). Early infancy exposure was also associated with 1.7% higher adiposity at 5 years (95% CI: 0.1-3.2). Mid-pregnancy and early childhood exposures did not influence adiposity. CONCLUSIONS Pre-conception, late gestation, and early infancy exposures to tobacco may have the greatest impact on childhood adiposity.
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Affiliation(s)
- Brianna F. Moore
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Kimberly J. Kreitner
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center, Austin, Texas, USA
| | - Anne P. Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
| | - Sheena E. Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Maggie Clark
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, Colorado, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
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Martenies SE, Hoskovec L, Wilson A, Moore BF, Starling AP, Allshouse WB, Adgate JL, Dabelea D, Magzamen S. Using non-parametric Bayes shrinkage to assess relationships between multiple environmental and social stressors and neonatal size and body composition in the Healthy Start cohort. Environ Health 2022; 21:111. [PMID: 36401268 PMCID: PMC9675112 DOI: 10.1186/s12940-022-00934-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/30/2022] [Indexed: 06/09/2023]
Abstract
BACKGROUND Both environmental and social factors have been linked to birth weight and adiposity at birth, but few studies consider the effects of exposure mixtures. Our objective was to identify which components of a mixture of neighborhood-level environmental and social exposures were driving associations with birth weight and adiposity at birth in the Healthy Start cohort. METHODS Exposures were assessed at the census tract level and included air pollution, built environment characteristics, and socioeconomic status. Prenatal exposures were assigned based on address at enrollment. Birth weight was measured at delivery and adiposity was measured using air displacement plethysmography within three days. We used non-parametric Bayes shrinkage (NPB) to identify exposures that were associated with our outcomes of interest. NPB models were compared to single-predictor linear regression. We also included generalized additive models (GAM) to assess nonlinear relationships. All regression models were adjusted for individual-level covariates, including maternal age, pre-pregnancy BMI, and smoking. RESULTS Results from NPB models showed most exposures were negatively associated with birth weight, though credible intervals were wide and generally contained zero. However, the NPB model identified an interaction between ozone and temperature on birth weight, and the GAM suggested potential non-linear relationships. For associations between ozone or temperature with birth weight, we observed effect modification by maternal race/ethnicity, where effects were stronger for mothers who identified as a race or ethnicity other than non-Hispanic White. No associations with adiposity at birth were observed. CONCLUSIONS NPB identified prenatal exposures to ozone and temperature as predictors of birth weight, and mothers who identify as a race or ethnicity other than non-Hispanic White might be disproportionately impacted. However, NPB models may have limited applicability when non-linear effects are present. Future work should consider a two-stage approach where NPB is used to reduce dimensionality and alternative approaches examine non-linear effects.
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Affiliation(s)
- Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, 906 S Goodwin Ave, M/C 052, Urbana, IL, 61801, USA.
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
| | - Lauren Hoskovec
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Brianna F Moore
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Anne P Starling
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center), University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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11
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Berglund NR, Lewis JI, Michaelsen KF, Mølgaard C, Renault KM, Carlsen EM. Birthweight z-score and fat-free mass at birth predict body composition at 3 years in Danish children born from obese mothers. Acta Paediatr 2022; 111:1427-1434. [PMID: 35357724 PMCID: PMC9322285 DOI: 10.1111/apa.16346] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 03/21/2022] [Accepted: 03/28/2022] [Indexed: 01/02/2023]
Abstract
Aim We investigated associations between newborn body composition and anthropometry and body composition at 3 years in Danish children born from obese mothers. Methods Analyses are based on data from the observational cohort study SKOT II (SKOT; small children's diet and well‐being (Danish)). Body composition at birth and at 3 years was assessed by dual‐energy X‐ray absorptiometry (DXA) scans and bioelectrical impedance analysis (BIA), respectively. Multiple linear regression models were applied to determine associations between newborn body composition and anthropometry and body composition at 3 years. Results Birthweight z‐score (BWZ) was positively associated with fat‐free mass (FFM), height, fat‐free mass index (FFMI), fat mass (FM) and fat mass index (FMI) at 3 years. Newborn FFM was positively associated with FFM, height, FFMI and FM at 3 years, and positive trends were seen between newborn FM and FM and FMI at 3 years. Conclusion We showed that infants born with a higher BWZ go on to be taller at 3 years. They also grow to be heavier, to which FM and FFM both contribute, independently of linear growth. Additionally, it seems that FFM tracks into early childhood, thus supporting intrauterine programming of later health.
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Affiliation(s)
- Nanna R. Berglund
- Department of Nutrition, Exercise and Sports Faculty of Science University of Copenhagen Frederiksberg Denmark
| | - Jack I. Lewis
- Department of Nutrition, Exercise and Sports Faculty of Science University of Copenhagen Frederiksberg Denmark
| | - Kim F. Michaelsen
- Department of Nutrition, Exercise and Sports Faculty of Science University of Copenhagen Frederiksberg Denmark
| | - Christian Mølgaard
- Department of Nutrition, Exercise and Sports Faculty of Science University of Copenhagen Frederiksberg Denmark
| | - Kristina M. Renault
- Department of Obstetrics and Gynecology Rigshospitalet, Copenhagen University Hospital Copenhagen Denmark
| | - Emma M. Carlsen
- Department of Pediatrics Hvidovre Hospital Copenhagen University Hospital Hvidovre Denmark
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12
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Bengtson AM, le Roux SM, Phillips TK, Brittain K, Zerbe A, Madlala HP, Malaba TR, Petro G, Abrams EJ, Myer L. Relationship between pre-pregnancy maternal body mass index and infant weight trajectories in HIV-exposed and HIV-unexposed infants. Paediatr Perinat Epidemiol 2022; 36:536-547. [PMID: 34859468 PMCID: PMC9163208 DOI: 10.1111/ppe.12825] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 09/08/2021] [Accepted: 09/19/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Maternal HIV and antiretroviral therapy (ART) exposure in utero may influence infant weight, but the contribution of maternal y body mass index (BMI) to early life overweight and obesity is not clear. OBJECTIVE To estimate associations between maternal BMI at entry to antenatal care (ANC) and infant weight through approximately 1 year of age and to evaluate whether associations were modified by maternal HIV status, maternal HIV and viral load, breastfeeding intensity through 6 months or timing of entry into ANC. METHODS We followed HIV-uninfected and -infected pregnant women initiating efavirenz-based ART from first antenatal visit through 12 months postpartum. Infant weight was assessed via World Health Organization BMI and weight-for-length z-scores (WLZ) at 6 weeks, 3, 6, 9 and 12 months. We used multivariable linear mixed-effects models to estimate associations between maternal BMI and infant z-scores over time. RESULTS In 861 HIV-uninfected infants (454 HIV-exposed; 407 HIV-unexposed), nearly 20% of infants were overweight or obese by 12 months of age, regardless of HIV exposure status. In multivariable analyses, increasing maternal BMI category was positively associated with higher infant BMIZ and WLZ scores between 6 weeks and 12 months of age and did not differ by HIV exposure status. However, HIV-exposed infants had slightly lower BMIZ and WLZ trajectories through 12 months of age, compared with HIV-unexposed infants across all maternal BMI categories. Differences in BMIZ and WLZ scores by HIV exposure were not explained by timing of entry into ANC or maternal viral load pre-ART initiation, but z-scores were slightly higher for HIV-exposed infants who were predominantly or exclusively versus partially breastfed. CONCLUSIONS These findings suggest maternal BMI influences early infant weight gain, regardless of infant HIV exposure status. Intervention to reduce maternal BMI may help to address growing concerns about obesity among HIV-uninfected children.
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Affiliation(s)
- Angela M. Bengtson
- Department of Epidemiology, Brown University School of Public Health, Providence, RI
| | - Stanzi M le Roux
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Tamsin K Phillips
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa, Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Kirsty Brittain
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa, Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Allison Zerbe
- ICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY
| | - Hlengiwe P Madlala
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Thokozile R. Malaba
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa, Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Gregory Petro
- Department of Obstetrics & Gynaecology, University of Cape Town and New Somerset Hospital, Cape Town, South Africa
| | - Elaine J. Abrams
- ICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, Department of Pediatrics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY
| | - Landon Myer
- Division of Epidemiology and Biostatistics, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa, Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa
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13
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Moore BF, Sauder KA, Shapiro ALB, Crume T, Kinney GL, Dabelea D. Fetal Exposure to Cannabis and Childhood Metabolic Outcomes: The Healthy Start Study. J Clin Endocrinol Metab 2022; 107:e2862-e2869. [PMID: 35357471 PMCID: PMC9202691 DOI: 10.1210/clinem/dgac101] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To assess the impact of fetal exposure to cannabis on adiposity and glucose-insulin traits in early life. RESEARCH DESIGN AND METHODS We leveraged a subsample of 103 mother-child pairs from Healthy Start, an ethnically diverse Colorado-based cohort. Twelve cannabinoids/metabolites of cannabis (including Δ9-tetrahydrocannabinol and cannabidiol) were measured in maternal urine collected at ~27 weeks' gestation. Fetal exposure to cannabis was dichotomized as exposed (any cannabinoid > limit of detection [LOD]) and not exposed (all cannabinoids < LOD). Fat mass and fat-free mass were measured via air displacement plethysmography at follow-up (mean age: 4.7 years). Glucose and insulin were obtained after an overnight fast. Generalized linear models estimated the associations between fetal exposure to cannabis with adiposity measures (fat mass [kg], fat-free mass [kg], adiposity [fat mass percentage], body mass index [BMI], and BMI z-scores) and metabolic measures (glucose [mg/dL], insulin [uIU/mL], and homeostatic model assessment of insulin resistance [HOMA-IR]). RESULTS Approximately 15% of the women had detectable levels of any cannabinoid, indicating fetal exposure to cannabis. Exposed offspring had higher fat mass (1.0 kg; 95% CI, 0.3-1.7), fat-free mass (1.2 kg; 95% CI, 0.4-2.0), adiposity (2.6%; 95% CI, 0.1-5.2), and fasting glucose (5.6 mg/dL; 95% CI, 0.8-10.3) compared with nonexposed offspring. No associations were found with fasting insulin (in the fully adjusted model), HOMA-IR, BMI, or BMI z-scores. CONCLUSIONS We provide novel evidence to suggest an association between fetal exposure to cannabis with increased adiposity and fasting glucose in childhood, a finding that should be validated in other cohorts.
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Affiliation(s)
- Brianna F Moore
- Correspondence: Brianna F. Moore, PhD, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, 12474 East 19th Avenue, Campus Box F426, Aurora, CO 80045, USA. E-mail:
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO 80045, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA
| | - Allison L B Shapiro
- Department of Psychiatry, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Tessa Crume
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA
| | - Gregory L Kinney
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, CO 80045, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA
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14
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Venter C, Palumbo MP, Sauder KA, Glueck DH, O'Mahony L, Yang I, Davidson EJ, Brough HA, Holloway JW, Fleischer DM, Ben-Abdallah M, Dabelea D. Associations between child filaggrin mutations and maternal diet with the development of allergic diseases in children. Pediatr Allergy Immunol 2022; 33:e13753. [PMID: 35338739 PMCID: PMC9621095 DOI: 10.1111/pai.13753] [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: 10/08/2021] [Revised: 01/12/2022] [Accepted: 02/16/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND Filaggrin (FLG) loss-of-function mutations in children and maternal diet in pregnancy have been implicated in child allergy outcomes. This paper studies the questions: "do FLG mutations modify the effect of maternal diet on the odds of development of allergic diseases?" and "which factor leads to the highest rate of diagnosis allergic diseases over time, maternal diet, or FLG mutations?". METHODS Exact logistic regressions studied effect modification. Cox proportional hazard models compared the rate of allergic disease development in three groups (N = 624): (1) children with FLG mutation, (2) children without FLG mutation whose mothers did not eat an allergy preventive diet, and (3) children without FLG mutation whose mothers ate an allergy preventive diet. Maternal diet was classified using a validated index. RESULTS Cox models showed the development of atopic dermatitis, asthma, and wheeze was significantly higher for children in group 1 versus 3 (HR = 2.40 [1.32, 4.37], HR = 2.29 [1.05, 4.97], and HR 2.10 [1.004, 4.38], respectively), but not significantly higher for children in group 1 versus 2 (HR = 1.30 [0.74, 2.29], HR = 1.27 [0.61, 2.63], and HR = 1.29 [0.65, 2.58], respectively). Development of allergic rhinitis was significantly higher for group 1 versus 2 and 3 (1 vs. 2: HR = 2.29 [1.10, 4.76]; 1 vs. 3: HR = 3.21 [1.46, 7.08]). There was no significant effect modification for any outcome. CONCLUSION Children with FLG mutation had similar risk of atopic dermatitis, asthma, and wheeze as children without an FLG mutation whose mothers did not eat an allergy preventive diet during pregnancy. Child FLG mutation did not modify the effect of maternal diet. The results suggest that maternal diet in pregnancy, a modifiable risk factor, could be a target for preventive interventions.
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Affiliation(s)
- Carina Venter
- Section of Allergy & Immunology, Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, USA.,Children's Hospital Colorado, Aurora, Colorado, USA
| | - Michaela P Palumbo
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, USA
| | - Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, USA.,Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colorado, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, USA.,Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colorado, USA
| | - Liam O'Mahony
- Departments of Medicine and Microbiology, APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Ivana Yang
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA.,Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA
| | - Elizabeth J Davidson
- Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Helen A Brough
- Paediatric Allergy Group, Department Women and Children's Health, School of Life Course Sciences, King's College London, London, UK.,Paediatric Allergy Group, School of Immunology and Microbial Sciences, King's College London, London, UK.,Children's Allergy Service, Evelina Children's Hospital, Guy's and St, Thomas's NHS Foundation Trust, London, UK
| | - John W Holloway
- Faculty of Medicine, Human Development and Health, University of Southampton, Southampton, UK
| | - David M Fleischer
- Section of Allergy & Immunology, Department of Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, Aurora, Colorado, USA.,Children's Hospital Colorado, Aurora, Colorado, USA
| | - Miriam Ben-Abdallah
- Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colorado, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, University of Colorado Denver, Aurora, Colorado, USA.,Department of Pediatrics, University of Colorado School of Medicine, University of Colorado Denver, Aurora, Colorado, USA.,Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA
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15
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Erickson ML, Patinkin ZW, Duensing AM, Dabelea D, Redman LM, Boyle KE. Maternal metabolic health drives mesenchymal stem cell metabolism and infant fat mass at birth. JCI Insight 2021; 6:146606. [PMID: 34061777 PMCID: PMC8410068 DOI: 10.1172/jci.insight.146606] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 05/26/2021] [Indexed: 12/25/2022] Open
Abstract
Exposure to maternal obesity may promote metabolic dysfunction in offspring. We used infant mesenchymal stem cells (MSCs) to experimentally examine cellular mechanisms of intergenerational health transmission. Our earlier reports show MSCs collected from infants of mothers with obesity had a dichotomous distribution in metabolic efficiency; they were either efficient (Ef-Ob) or inefficient (In-Ob) with respect to fatty acid oxidation (FAO). Here, we sought to determine if this was due to a primary defect in FAO. Accordingly, we measured FAO in myogenic differentiating MSCs under 3 conditions: (a) myogenesis alone, (b) excess fatty acid exposure, and (c) excess fatty acid exposure plus a chemical uncoupler to increase metabolic rate. Compared with normal weight and Ef-Ob MSCs, In-Ob displayed lower FAO in myogenesis alone and after fatty acid plus uncoupler, indicating In-Ob were less metabolically flexible after increasing lipid availability and metabolic rate, demonstrating a primary deficit in FAO. MSC FAO was negatively associated with fasting maternal glucose and insulin and positively associated with fasting HDL-cholesterol. MSC FAO was negatively associated with infant fat mass. These data indicate a less favorable maternal metabolic milieu, independent of maternal BMI, reduces intrinsic MSC FAO and is linked to higher infant adiposity as early as birth.
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Affiliation(s)
- Melissa L. Erickson
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Zachary W. Patinkin
- Department of Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, New York, USA
| | - Allison M. Duensing
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Dana Dabelea
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Aurora, Colorado, USA
| | - Leanne M. Redman
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA
| | - Kristen E. Boyle
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Lifecourse Epidemiology of Adiposity and Diabetes Center, Aurora, Colorado, USA
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16
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Sauder KA, Perng W, Palumbo MP, Bloemsma LD, Carey J, Glueck DH, Dabelea D. Fat Mass Accretion from Birth to 5 Years and Metabolic Homeostasis in Childhood: the Healthy Start Study. J Clin Endocrinol Metab 2021; 106:1684-1691. [PMID: 33616653 PMCID: PMC8118576 DOI: 10.1210/clinem/dgab115] [Citation(s) in RCA: 6] [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: 12/11/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT It is unclear how fat mass accretion in early life is related to glucose-insulin homeostasis. OBJECTIVE Examine associations of fat and fat-free mass accretion from birth to early childhood with glucose-insulin homeostasis in early childhood in a multi-ethnic cohort. METHODS Observational Healthy Start study with data collection from 2010 to 2020. Air displacement plethysmography at birth and 4.8 (SD 0.7) years estimated fat mass percent (FMP, %), fat mass index (FMI, kg/m2), and fat-free mass index (FFMI, kg/m2). General population recruited from academic obstetrics clinics in Denver, Colorado, consisting of 419 mother/offspring dyads. The main outcome measures were fasting glucose, insulin, homeostasis model assessment-2 insulin resistance (HOMA2-IR), and beta-cell function (HOMA2-B) at 4.8 years. RESULTS Greater fat mass accretion from birth to early childhood was associated with higher fasting glucose (ΔFMP β = 0.20 [95% CI 0.06-0.34], ΔFMI β = 0.90 [0.30-1.50]) in participants of Hispanic, Black, and Other races/ethnicities, while greater fat-free mass accretion was associated with higher fasting glucose in non-Hispanic White participants (ΔFFMI β = 0.76 [0.21-1.32]). Overall, greater fat, but not fat-free, mass accretion was also associated with higher insulin (ΔFMP β = 0.14 [0.09-0.18], ΔFMI 0.71 [0.51-0.92]), HOMA2-IR (FMP β = 0.02 [0.01-0.02], ΔFMI β = 0.09 [0.06-0.12]), and HOMA2-B (ΔFMP β = 0.92 [0.18-1.36], ΔFMI β = 4.76 [2.79-6.73]). CONCLUSION Greater fat mass accretion in infancy and childhood is associated with shifts in fasting glucose in children of Hispanic, Black, and Other races/ethnicities at 5 years of age. Body composition beginning in early life is relevant for metabolic health, and precise assessments of adiposity in pediatric research are needed.
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Affiliation(s)
- Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Correspondence: Katherine Sauder, LEAD Center, University of Colorado Anschutz Medical Campus, 12474 E 19th Avenue – F426, Aurora CO, 80045, USA.
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Michaela P Palumbo
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Lizan D Bloemsma
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - John Carey
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver Anschutz Medical Campus, Aurora, CO, USA
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17
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Herath MP, Ahuja KDK, Beckett JM, Jayasinghe S, Byrne NM, Hills AP. Determinants of Infant Adiposity across the First 6 Months of Life: Evidence from the Baby-bod study. J Clin Med 2021; 10:jcm10081770. [PMID: 33921680 PMCID: PMC8073882 DOI: 10.3390/jcm10081770] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 04/06/2021] [Accepted: 04/15/2021] [Indexed: 12/16/2022] Open
Abstract
Excess adiposity in infancy may predispose individuals to obesity later in life. The literature on determinants of adiposity in infants is equivocal. In this longitudinal cohort study, we investigated pre-pregnancy, prenatal and postnatal determinants of different adiposity indices in infants, i.e., fat mass (FM), percent FM (%FM), fat mass index (FMI) and log-log index (FM/FFMp), from birth to 6 months, using linear mixed-effects regression. Body composition was measured in 322, 174 and 109 infants at birth and 3 and 6 months afterwards, respectively, utilising air displacement plethysmography. Positive associations were observed between gestation length and infant FM, maternal self-reported pre-pregnancy body mass index and infant %FM, and parity and infant %FM and FMI at birth. Surprisingly, maternal intake of iron supplements during pregnancy was associated with infant FM, %FM and FMI at 3 months and FM/FFMp at 6 months. Male infant sex and formula feeding were negatively associated with all adiposity indices at 6 months. In conclusion, pre-pregnancy and pregnancy factors influence adiposity during early life, and any unfavourable impacts may be modulated postnatally via infant feeding practices. Moreover, as these associations are dependent on the adiposity indices used, it is crucial that researchers use conceptually and statistically robust approaches such as FM/FFMp.
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18
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Abstract
To address the intergenerational transmission of obesity and diabetes, strategies promoting the health of women of reproductive age appear to be urgently needed. In this narrative review, we summarise what has been learned from many prenatal clinical trials, discuss the emerging evidence from preconception clinical trials and highlight persistent gaps and critical future directions. Most trials tested prenatal interventions that resulted in a limited gestational weight gain of ~1 kg and reduced gestational diabetes by 20-30%. These interventions also reduced macrosomia by 20-40% but had little-to-no impact on other offspring outcomes at birth or beyond. Far fewer trials tested preconception interventions, with almost all designed to improve conception or live-birth rates in overweight or obese women with infertility rather than reduce intergenerational risks in diverse populations. Preconception trials have successfully reduced weight by 3-9 kg and improved markers of glucose homeostasis and insulin resistance by the end of the intervention but whether effects were sustained to conception is unclear. Very few studies have reported offspring outcomes at birth and beyond, with no evidence thus far of beneficial effects on offspring obesity or diabetes risks. Further efforts to develop effective and scalable strategies to reduce risk of obesity and diabetes before conception should be prioritised, especially for diverse and under-resourced populations at disparately high risk of obesity and diabetes. Future clinical trials should include interventions with high potential for dissemination, diverse populations, thorough maternal phenotyping from enrolment through to conception and pregnancy, and rigorous assessment of offspring obesity and diabetes risks from birth onwards, including into the third generation.
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Affiliation(s)
- Katherine A Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Natalie D Ritchie
- Office of Research, Denver Health and Hospital Authority, Denver, CO, USA
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19
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Desoye G, Herrera E. Adipose tissue development and lipid metabolism in the human fetus: The 2020 perspective focusing on maternal diabetes and obesity. Prog Lipid Res 2020; 81:101082. [PMID: 33383022 DOI: 10.1016/j.plipres.2020.101082] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 12/21/2020] [Accepted: 12/22/2020] [Indexed: 12/12/2022]
Abstract
During development, the human fetus accrues the highest proportion of fat of all mammals. Precursors of fat lobules can be found at week 14 of pregnancy. Thereafter, they expand, filling with triacylglycerols during pregnancy. The resultant mature lipid-filled adipocytes emerge from a developmental programme of embryonic stem cells, which is regulated differently than adult adipogenesis. Fetal triacylglycerol synthesis uses glycerol and fatty acids derived predominantly from glycolysis and lipogenesis in liver and adipocytes. The fatty acid composition of fetal adipose tissue at the end of pregnancy shows a preponderance of palmitic acid, and differs from the mother. Maternal diabetes mellitus does not influence this fatty acid profile. Glucose oxidation is the main source of energy for the fetus, but mitochondrial fatty acid oxidation also contributes. Indirect evidence suggests the presence of lipoprotein lipase in fetal adipose tissue. Its activity may be increased under hyperinsulinemic conditions as in maternal diabetes mellitus and obesity, thereby contributing to increased triacylglycerol deposition found in the newborns of such pregnancies. Fetal lipolysis is low. Changes in the expression of genes controlling metabolism in fetal adipose tissue appear to contribute actively to the increased neonatal fat mass found in diabetes and obesity. Many of these processes are under endocrine regulation, principally by insulin, and show sex-differences. Novel fatty acid derived signals such as oxylipins are present in cord blood with as yet undiscovered function. Despite many decades of research on fetal lipid deposition and metabolism, many key questions await answers.
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Affiliation(s)
- G Desoye
- Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria.
| | - E Herrera
- Faculties of Pharmacy and Medicine, University CEU San Pablo, Madrid, Spain.
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20
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Shypailo RJ, Wong WW. Fat and fat-free mass index references in children and young adults: assessments along racial and ethnic lines. Am J Clin Nutr 2020; 112:566-575. [PMID: 32469402 DOI: 10.1093/ajcn/nqaa128] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 05/07/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Fat-free mass index (FFMI) and fat mass index (FMI) are superior to BMI and fat percentage in evaluating nutritional status. However, existing references fail to account for racial/ethnic differences in body composition among children. OBJECTIVES Our goal was to produce age-based normative references for FFMI and FMI in children for specific racial/ethnic groups. METHODS Body composition, weight, and height were measured in 1122 normal healthy children aged 2-21 y. Bone mineral content measured by DXA, total body water by deuterium dilution, and total body potassium by whole-body γ counting were combined to calculate fat-free mass (FFM) and fat mass (FM) using equations based on the Reference Child and Adolescent models. FFMI and FMI were calculated by dividing FFM and FM by height squared, respectively. After outlier removal, the LMS (Lambda-Mu-Sigma) function within R's GAMLSS package was used to produce age-based FFMI and FMI growth curves for black (B), white (W), and Hispanic (H) children for each sex. Combined models were produced in cases where outcomes did not differ by race/ethnicity. Resulting models were compared with previously published FFMI and FMI models. RESULTS FFMI and FMI models based on 1079 children, aged 2-21 y, were created for both sexes. FFMI models for B children showed higher values throughout. W and H children were combined to produce FFMI models for each sex. H boys were modeled individually for FMI, whereas W and B boys were combined. FMI models for girls were created for each race/ethnicity. Models agreed well with those based on children from the United Kingdom of comparable race/ethnicity. CONCLUSIONS Race/ethnicity-specific references for FFMI and FMI will increase the accuracy of health and nutrition status assessment in children over race/ethnicity-generic references. The models allow the calculation of SD scores to assess health and nutrition status in children.
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Affiliation(s)
- Roman J Shypailo
- USDA/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - William W Wong
- USDA/Agricultural Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
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21
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Heard-Lipsmeyer ME, Hull H, Sims CR, Cleves MA, Andres A. Evaluating body composition in infancy and childhood: A comparison between 4C, QMR, DXA, and ADP. Pediatr Obes 2020; 15:e12617. [PMID: 31986239 PMCID: PMC7323309 DOI: 10.1111/ijpo.12617] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 12/11/2019] [Accepted: 01/02/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Accurate and precise methods to measure of body composition in infancy and childhood are needed. OBJECTIVES This study evaluated differences and precision of three methods when compared with the four-compartment (4C) model for estimating fat mass (FM). METHODS FM of children (age 14 days to 6 years of age, N = 346) was obtained using quantitative nuclear magnetic resonance (QMR, EchoMRI-AH), air-displacement plethysmography (ADP, PeaPod, less than or equal to 8 kg, BodPod age 6 years or older), and dual-energy X-ray absorptiometry (DXA, Hologic QDR). The 4C model was computed. Correlation, concordance, and Bland-Altman analyses were performed. RESULTS In infants, PeaPod had high individual FM accuracy, whereas DXA had high group FM accuracy compared with 4C. In children, DXA had high group and individual FM accuracies compared with 4C. QMR underestimated group FM in infants and children (300 and 510 g, respectively). The instrument FM precision was best for QMR (10 g) followed by BodPod (34 g), PeaPod (38 g), and DXA (45 g). CONCLUSIONS In infants, PeaPod was the best method to estimate individual FM whereas DXA was best to estimate group FM. In children, DXA was best to estimate individual and group FM. QMR had the highest instrument precision.
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Affiliation(s)
- Melissa E. Heard-Lipsmeyer
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas,Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas,Division of Cell Biology and Physiology, Edward Via College of Osteopathic Medicine-Louisiana Campus, Monroe, Louisiana
| | - Holly Hull
- Department of Dietetics and Nutrition, University of Kansas Medical Center, Kansas City, Kansas
| | - Clark R. Sims
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Mario A. Cleves
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Aline Andres
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas,Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas
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Modifications to Infant Formula Instructions Improve the Accuracy of Formula Dispensing. Nutrients 2020; 12:nu12041150. [PMID: 32325958 PMCID: PMC7230650 DOI: 10.3390/nu12041150] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/14/2020] [Accepted: 04/15/2020] [Indexed: 01/17/2023] Open
Abstract
Readability of infant formula preparation instructions is universally poor, which may result in inaccurate infant feeding. Given that inaccurate formula dispensing can lead to altered infant growth and increased adiposity, there is an increased need for easy to follow instructions for formula preparation. We hypothesize that altering infant formula instruction labels using feedback from iterative focus groups will improve the preparation accuracy of powdered infant formula in a randomized controlled trial. Participants were recruited from the community, 18 years of age or older, willing to disclose demographic information for focus group matching, and willing to participate freely in the first (n = 21) or second (n = 150) phase of the study. In the second phase, participants were randomized to use the standard manufacturer instructions or to use the modified instructions created in the first phase. Accuracy was defined as the percent error between manufacturer-intended powder formula quantity and the amount dispensed by the participant. Participants who were assigned to the modified instructions were able to dispense the powdered formula more accurately than participants who used the standard manufacturer instructions (−0.67 ± 0.76 vs. −4.66 ± 0.74% error; p < 0.0001). Accuracy in powdered formula dispensing was influenced by bottle size (p = 0.02) but not by body mass index (p = 0.17), education level (p = 0.75), income (p = 0.7), age (p = 0.89) or caregiver status (p = 0.18). Percent error of water measurement was not different between the groups (standard: −1.4 ± 0.6 vs. modified: 0.7 ± 0.6%; p = 0.38). Thus, caloric density was more accurate in the modified instructions group compared to the standard manufacturer instructions group (−0.3 ± 0.6 vs.−2.9 ± 0.9%; p = 0.03). Infant formula label modifications using focus group feedback increased infant formula preparation accuracy.
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23
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Heard-Lipsmeyer ME, Diaz EC, Sims CR, Sobik SR, Ruebel ML, Thakali KM, Krukowski RA, Cleves M, Børsheim E, Shankar K, Andres A. Maternal Adiposity is Associated with Fat Mass Accretion in Female but not Male Offspring During the First 2 Years of Life. Obesity (Silver Spring) 2020; 28:624-630. [PMID: 32030918 PMCID: PMC7042062 DOI: 10.1002/oby.22735] [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: 05/16/2019] [Accepted: 11/02/2019] [Indexed: 12/27/2022]
Abstract
OBJECTIVE This study investigated which antenatal and postnatal factors determine offspring adiposity during the first 2 years of life. METHODS Participants were mother and child pairs (N = 224). Offspring percent fat mass (%FM) was obtained using quantitative nuclear magnetic resonance at 11 time points between ages 0.5 and 24 months. Independent variables included race, age, gestational weight gain, first-trimester %FM, delivery mode, gestational measures of resting energy expenditure, respiratory exchange ratio, physical activity, serum cytokines and lipids, and dietary intake for the mothers, as well as sex, birth weight and length, breastfeeding duration, and physical activity at age 2 years for the children. Linear mixed models were used to construct the best-fitted models for the entire cohort and for each sex. RESULTS Maternal %FM (P = 0.006), high-density lipoprotein (HDL) (P < 0.001), and breastfeeding duration (P = 0.023) were positively associated with female offspring adiposity, whereas maternal dietary fiber intake (P = 0.016) had a negative association. Birth weight (P = 0.004), maternal HDL (P = 0.013), and breastfeeding duration (P = 0.015) were all positively associated with male offspring adiposity. CONCLUSIONS Antenatal and postnatal factors differentially impact male and female offspring adiposity during the first 2 years of life.
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Affiliation(s)
- Melissa E. Heard-Lipsmeyer
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Division of Cell Biology and Physiology, Edward Via College of Osteopathic Medicine-Louisiana Campus, Monroe, Louisiana, USA
| | - Eva C. Diaz
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children’s Research Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Clark R. Sims
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Sarah R. Sobik
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Meghan L. Ruebel
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Animal Science and Reproductive and Developmental Sciences Program, Michigan State University, East Lansing, Michigan, USA
| | - Keshari M. Thakali
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Rebecca A. Krukowski
- Center for Population Sciences, Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Mario Cleves
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics, University of South Florida, Tampa, Florida, USA
| | - Elisabet Børsheim
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children’s Research Institute, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Kartik Shankar
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Aline Andres
- Arkansas Children’s Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Department of Pediatrics University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
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24
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Starling AP, Moore BF, Thomas DSK, Peel JL, Zhang W, Adgate JL, Magzamen S, Martenies SE, Allshouse WB, Dabelea D. Prenatal exposure to traffic and ambient air pollution and infant weight and adiposity: The Healthy Start study. ENVIRONMENTAL RESEARCH 2020; 182:109130. [PMID: 32069764 PMCID: PMC7394733 DOI: 10.1016/j.envres.2020.109130] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 01/08/2020] [Accepted: 01/09/2020] [Indexed: 05/06/2023]
Abstract
BACKGROUND Prenatal exposures to ambient air pollution and traffic have been associated with adverse birth outcomes, and may also lead to an increased risk of obesity. Obesity risk may be reflected in changes in body composition in infancy. OBJECTIVE To estimate associations between prenatal ambient air pollution and traffic exposure, and infant weight and adiposity in a Colorado-based prospective cohort study. METHODS Participants were 1125 mother-infant pairs with term births. Birth weight was recorded from medical records and body composition measures (fat mass, fat-free mass, and adiposity [percent fat mass]) were evaluated via air displacement plethysmography at birth (n = 951) and at ~5 months (n = 574). Maternal residential address was used to calculate distance to nearest roadway, traffic density, and ambient concentrations of fine particulate matter (PM2.5) and ozone (O3) via inverse-distance weighted interpolation of stationary monitoring data, averaged by trimester and throughout pregnancy. Adjusted linear regression models estimated associations between exposures and infant weight and body composition. RESULTS Participants were urban residents and diverse in race/ethnicity and socioeconomic status. Average ambient air pollutant concentrations were generally low; the median, interquartile range (IQR), and range of third trimester concentrations were 7.3 μg/m3 (IQR: 1.3, range: 3.3-12.7) for PM2.5 and 46.3 ppb (IQR: 18.4, range: 21.7-63.2) for 8-h maximum O3. Overall there were few associations between traffic and air pollution exposures and infant outcomes. Third trimester O3 was associated with greater adiposity at follow-up (2.2% per IQR, 95% CI 0.1, 4.3), and with greater rates of change in fat mass (1.8 g/day, 95% CI 0.5, 3.2) and adiposity (2.1%/100 days, 95% CI 0.4, 3.7) from birth to follow-up. CONCLUSIONS We found limited evidence of an association between prenatal traffic and ambient air pollution exposure and infant body composition. Suggestive associations between prenatal ozone exposure and early postnatal changes in body composition merit further investigation.
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Affiliation(s)
- Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Brianna F Moore
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah S K Thomas
- Department of Geography and Earth Sciences, University of North Carolina Charlotte, NC, USA
| | - Jennifer L Peel
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - Weiming Zhang
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, 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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25
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Longitudinal body composition assessment in healthy term-born infants until 2 years of age using ADP and DXA with vacuum cushion. Eur J Clin Nutr 2020; 74:642-650. [PMID: 32055012 DOI: 10.1038/s41430-020-0578-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 01/29/2020] [Accepted: 01/29/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Accelerated gain in fat mass (FM) in early life increases the risk for adult diseases. Longitudinal data on infant body composition are crucial for clinical and research use, but very difficult to obtain due to limited measurement tools and unsuccessful measurements between age 6-24 months. We compared FM% by dual-energy X-ray absorptiometry (DXA), with cushion to reduce movement artifacts, with FM% by air-displacement plethysmography (ADP) and evaluated the reliability of this cushion during DXA by comparing FM% with and without cushion. Subsequently, we constructed sex-specific longitudinal body composition charts from 1-24 months. METHODS In 692 healthy, term-born infants (Sophia Pluto Cohort), FM% was measured by ADP from 1-6 months and DXA with cushion from 6-24 months. At 6 months, FM% was measured in triplicate by ADP and DXA with and without cushion(n = 278), later on in smaller numbers. RESULTS At 6 months, mean FM% by DXA with cushion was 24.1 and by ADP 25.0, mean difference of 0.9% (Bland-Altman p = 0.321, no proportional bias). Mean FM% by DXA without cushion was 12.5% higher compared to ADP (Bland-Altman p < 0.001). DXA without cushion showed higher mean FM% compared to DXA with cushion (+11.6%, p < 0.001) at 6 months. Longitudinally, FM% increased between 1-6 months and decreased from 6-24 months(both p < 0.001). CONCLUSIONS In infants, DXA scan with cushion limits movement artifacts and shows reliable FM%, comparable to ADP. This allowed us to construct longitudinal body composition charts until 24 months. Our study shows that FM% increases from 1-6 months and gradually declines until 24 months.
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Davis SM, Kaar JL, Ringham BM, Hockett CW, Glueck DH, Dabelea D. Sex differences in infant body composition emerge in the first 5 months of life. J Pediatr Endocrinol Metab 2019; 32:1235-1239. [PMID: 31483758 PMCID: PMC6851433 DOI: 10.1515/jpem-2019-0243] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 07/26/2019] [Indexed: 01/08/2023]
Abstract
Background Sex differences in body composition are appreciated throughout the lifespan with probable contributions from sex steroids: testosterone and estrogen. The purpose of this longitudinal observational study was to determine if sex differences in body composition emerge during the first months of life in healthy infants, corresponding to the age at which male infants produce endogenous testosterone. Methods Linear growth and body composition parameters using air displacement plethysmography were obtained from 602 healthy infants after birth and again at 5 months of age. Rate of change in body composition parameters were compared between sexes. Results Sex differences in length, total mass, fat free mass (FFM), and percent fat mass (%FM) were present both at birth and at 5 months (p < 0.001 for all), with males having greater total mass and FFM but lower %FM. Gain in %FM over the first 5 months was significantly lower in males (p = 0.0004). This difference was secondary to a gain of 17 g/week more in FFM in males compared to females. Conclusions Sex differences in body composition emerge in the first months of life, with lower adiposity accumulation in males. Endogenous testosterone production in males ~1-4 months of age may account for findings and may have lifelong implications for sex differences in body composition.
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Affiliation(s)
- Shanlee M Davis
- University of Colorado, Department of Pediatrics, Denver, USA.,Children's Hospital Colorado, Aurora, USA
| | - Jill L Kaar
- University of Colorado, Department of Pediatrics, Aurora, CO, USA
| | - Brandy M Ringham
- University of Colorado, Lifecourse Epidemiology of Adiposity and Diabetes Center, Aurora, CO, USA
| | | | - Deborah H Glueck
- University of Colorado, Department of Pediatrics, Aurora, CO, USA
| | - Dana Dabelea
- University of Colorado, Lifecourse Epidemiology of Adiposity and Diabetes Center, Aurora, CO, USA.,University of Colorado, Department of Epidemiology, Aurora, CO, USA
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Yang S, Mei H, Mei H, Yang Y, Li N, Tan Y, Zhang Y, Zhang D, Zhang Y, Peng A, Zhang B. Risks of maternal prepregnancy overweight/obesity, excessive gestational weight gain, and bottle-feeding in infancy rapid weight gain: evidence from a cohort study in China. SCIENCE CHINA-LIFE SCIENCES 2019; 62:1580-1589. [PMID: 31745693 DOI: 10.1007/s11427-018-9831-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 09/06/2019] [Indexed: 11/30/2022]
Abstract
Rapid weight gain (RWG) in infants is associated with numerous health problems, and its risk factors are still unclear. We assessed 98,097 maternal-infant pairs from a population-based cohort study and followed up with them until the infants were 6 months old. We assessed the associations between maternal prepregnancy weight status; gestational weight gain; feeding pattern; and infants' RWG at 0-1, 0-3, 1-3, and 3-6 months using multivariate unconditional logistic regression models, with controlled confounders. We found that maternal prepregnancy weight status, gestational weight gain, and feeding pattern at the 1st, 3rd, and 6th months had significant impacts on the infants' RWG at each time period (P<0.05). Infants with overweight/obese mothers had a higher risk of RWG after birth, whereas those of mothers who experienced excessive gestational weight gain had higher risks of RWG from birth than the other groups (P<0.01). Infants who were formula-fed had a higher risk of RWG than breastfed infants at the same time point (P<0.01). In conclusion, maternal prepregnancy obesity, excessive gestational weight gain, and formula-feeding were risk factors for infants' RWG during the first 6 months of life.
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Affiliation(s)
- Shaoping Yang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Hong Mei
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Hui Mei
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Yan Yang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Na Li
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Yafei Tan
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Yiming Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Dan Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Yan Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - An'na Peng
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China
| | - Bin Zhang
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science & Technology, Wuhan, 430014, China.
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Berger PK, Plows JF, Jones RB, Pollock NK, Alderete TL, Ryoo JH, Goran MI. Maternal blood pressure mediates the association between maternal obesity and infant weight gain in early postpartum. Pediatr Obes 2019; 14:e12560. [PMID: 31297972 PMCID: PMC6812591 DOI: 10.1111/ijpo.12560] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 06/04/2019] [Indexed: 01/23/2023]
Abstract
BACKGROUND It is unknown to what extent higher maternal blood pressure (BP) in early postpartum impacts the relationship between higher maternal weight status and greater infant weight gain in early postpartum. OBJECTIVE To evaluate the mediating role of higher maternal BP at 1 month postpartum on the association between higher maternal weight status at 1 month postpartum and greater infant weight gain over 6 months postpartum. METHODS Participants were 169 Hispanic mother-infant pairs. Maternal body mass index (BMI) and BP were assessed at 1 month postpartum. Infant weight was measured at 1 and 6 months postpartum to calculate weight-for-age z scores (WAZ). Multiple linear regression models were used for prediction, and Sobel test was used to determine mediation. RESULTS Controlling for maternal pre-pregnancy BMI, age, delivery mode, infant sex, and infant birth weight revealed that both maternal BMI (β = .29) and BP (β = .32) predicted infant WAZ gain (both P ≤ .03). However, the relationship between infant WAZ gain and maternal BMI was no longer significant after further adjustment for maternal BP, which remained significant (P < .05). Maternal BP explained 23.6% (Sobel T = 2.01) of the association between maternal BMI at 1 month and infant WAZ gain over 6 months. CONCLUSION Our data suggest that higher maternal weight status at 1 month postpartum is related to greater infant weight gain over 6 months postpartum, and this relationship is mediated by higher maternal BP at 1 month postpartum.
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Affiliation(s)
- Paige K. Berger
- Department of Pediatrics, Children’s Hospital Los Angeles, The University of Southern California, Los Angeles, CA, USA
| | - Jasmine F. Plows
- Department of Pediatrics, Children’s Hospital Los Angeles, The University of Southern California, Los Angeles, CA, USA
| | - Roshonda B. Jones
- Department of Pediatrics, Children’s Hospital Los Angeles, The University of Southern California, Los Angeles, CA, USA
| | - Norman K. Pollock
- Department of Population Health Sciences, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Ji Hoon Ryoo
- Department of Pediatrics, Children’s Hospital Los Angeles, The University of Southern California, Los Angeles, CA, USA
| | - Michael I. Goran
- Department of Pediatrics, Children’s Hospital Los Angeles, The University of Southern California, Los Angeles, CA, USA
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Perng W, Oken E, Dabelea D. Developmental overnutrition and obesity and type 2 diabetes in offspring. Diabetologia 2019; 62:1779-1788. [PMID: 31451868 DOI: 10.1007/s00125-019-4914-1] [Citation(s) in RCA: 68] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/01/2019] [Indexed: 01/01/2023]
Abstract
Childhood obesity has reached pandemic proportions, and youth-onset type 2 diabetes is following suit. This review summarises the literature on the influence of developmental overnutrition, resulting from maternal diabetes, obesity, maternal dietary intake during pregnancy, excess gestational weight gain, and infant feeding practices, on the aetiology of obesity and type 2 diabetes risk during childhood and adolescence. Key goals of this review are: (1) to summarise evidence to date on consequences of developmental overnutrition; (2) describe shared and distinct biological pathways that may link developmental overnutrition to childhood obesity and youth-onset type 2 diabetes; and (3) to translate current knowledge into clinical and public health strategies that not only target primary prevention in youth, but also encourage primordial prevention during the perinatal period, with the aim of breaking the intergenerational cycle of obesity and diabetes.
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Affiliation(s)
- Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Center, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 13001 East 17th Ave, Box B119, Room W3110, Aurora, CO, 80045, USA
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, 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, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, 13001 East 17th Ave, Box B119, Room W3110, Aurora, CO, 80045, USA.
- Department of Pediatrics, University of Colorado Anschutz Medical Center, Aurora, CO, USA.
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Dalrymple KV, Thompson JMD, Begum S, Godfrey KM, Poston L, Seed PT, McCowan LME, Wall C, Shelling A, North R, Cutfield WS, Mitchell EA. Relationships of maternal body mass index and plasma biomarkers with childhood body mass index and adiposity at 6 years: The Children of SCOPE study. Pediatr Obes 2019; 14:e12537. [PMID: 31232532 PMCID: PMC6731120 DOI: 10.1111/ijpo.12537] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Revised: 03/28/2019] [Accepted: 04/02/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Maternal obesity has been implicated in the origins of childhood obesity through a suboptimal environment in-utero. OBJECTIVE We examined relationships of maternal early pregnancy body mass index (BMI), overweight/obesity, and plasma biomarkers of obesity, inflammation, insulin resistance, and placental function with measures of childhood BMI and adiposity. METHODS BMI z-score, sum of skinfold thicknesses (SST), body fat percentage (BFP, by bioelectrical impedance), and waist, arm, and hip circumferences were measured in 1173 6-year-old children of nulliparous pregnant women in the Screening for Pregnancy Endpoints (SCOPE) study, New Zealand. Relationships of maternal early pregnancy (15 weeks' gestation) BMI and biomarkers with these childhood anthropometric measures were assessed by linear regression, with appropriate adjustment. RESULTS 28.1% of mothers were classified as overweight and 10.1% with obesity; compared with normal weight mothers, the BFP of their children were 5.3% higher (0.16 SD [95% CI, 0.04-0.29] p = .01) and 7.8% higher (0.27 [0.08-0.47] p = .006) with comparable values for BMI z-score and arm, waist, and hip circumferences. Early pregnancy maternal BMI and plasma placental growth factor (PlGF) were associated with higher child's SST, BMI z-score, hip circumference, and BFP. None of the metabolic or inflammatory maternal biomarkers were associated with childhood obesity. CONCLUSION In this contemporary large prospective cohort study with extensive maternal/childhood phenotyping and a high prevalence of maternal overweight/obesity, we found independent relationships of maternal early pregnancy BMI with childhood BMI and adiposity; similar associations were observed with PlGF, which may imply a role for placenta function in the developmental programming of childhood obesity risk.
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Affiliation(s)
- Kathryn V Dalrymple
- Department of Women and Children’s Health, School of Life
Course Sciences, King’s College London, UK
| | - John M D Thompson
- Department of Paediatrics, Child & Youth Health, Faculty of
Medical and Health Science, University of Auckland, New Zealand
- Department of Obstetrics and Gynaecology, Faculty of Medical and
Health Science, University of Auckland, New Zealand
| | - Shahina Begum
- Department of Women and Children’s Health, School of Life
Course Sciences, King’s College London, UK
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical
Research Centre, University of Southampton and University Hospital Southampton NHS
Foundation Trust, UK
| | - Lucilla Poston
- Department of Women and Children’s Health, School of Life
Course Sciences, King’s College London, UK
| | - Paul T Seed
- Department of Women and Children’s Health, School of Life
Course Sciences, King’s College London, UK
| | - Lesley M E McCowan
- Department of Obstetrics and Gynaecology, Faculty of Medical and
Health Science, University of Auckland, New Zealand
| | - Clare Wall
- Department of Nutrition, School of Medical Sciences, University of
Auckland, New Zealand
| | - Andrew Shelling
- Department of Obstetrics and Gynaecology, Faculty of Medical and
Health Science, University of Auckland, New Zealand
| | - Robyn North
- Department of General Medicine, Auckland City Hospital, Auckland New
Zealand
| | | | - Edwin A Mitchell
- Department of Paediatrics, Child & Youth Health, Faculty of
Medical and Health Science, University of Auckland, New Zealand
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31
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Davis SM, Reynolds RM, Dabelea DM, Zeitler PS, Tartaglia NR. Testosterone Treatment in Infants With 47,XXY: Effects on Body Composition. J Endocr Soc 2019; 3:2276-2285. [PMID: 31737857 PMCID: PMC6846330 DOI: 10.1210/js.2019-00274] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2019] [Accepted: 09/11/2019] [Indexed: 01/18/2023] Open
Abstract
Context Boys with XXY have greater adiposity and a higher risk of cardiovascular disease. Infants with XXY have lower testosterone concentrations than typical boys, but no studies have evaluated adiposity in infants with XXY or the physiologic effects of giving testosterone replacement. Objective To determine the effect of testosterone on body composition in infants with XXY. Design Prospective, randomized trial. Setting Tertiary care pediatric referral center. Participants 20 infants 6 to 15 weeks of age with 47,XXY. Intervention Testosterone cypionate 25 mg intramuscularly monthly for three doses vs no treatment. Main Outcome Measures Difference in change in adiposity (percent fat mass z scores); other body composition measures, penile length, and safety outcomes between treated and untreated infants; and comparison with typical infants. Results The increase in percent fat mass (%FM) z scores was greater in the untreated group than in the treated group (+0.92 ± 0.62 vs −0.12 ± 0.65, P = 0.004). Increases in secondary outcomes were greater in the testosterone-treated group for total mass, fat-free mass, length z score, stretched penile length, and growth velocity (P < 0.002 for all). At 5 months of age, adiposity in untreated infants with XXY was 26.7% compared with 23.2% in healthy male infants of the same age (P = 0.0037); there was no difference in %FM between the treated XXY boys and controls. Reported side effects were minimal and self-limited; no serious adverse events occurred. Conclusions Adiposity of untreated infants was 15% greater than that of male controls by 5 months of age. Testosterone treatment for infants with XXY resulted in positive changes in body composition.
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Affiliation(s)
- Shanlee M Davis
- University of Colorado School of Medicine, Department of Pediatrics, Section of Endocrinology, Aurora, Colorado.,Children's Hospital Colorado, eXtraordinarY Kids Clinic, Aurora, Colorado
| | - Regina M Reynolds
- University of Colorado School of Medicine, Department of Pediatrics, Section of Neonatology, Aurora, Colorado
| | - Dana M Dabelea
- University of Colorado, School of Public Health, Department of Epidemiology, Aurora, Colorado
| | - Philip S Zeitler
- University of Colorado School of Medicine, Department of Pediatrics, Section of Endocrinology, Aurora, Colorado.,Children's Hospital Colorado, eXtraordinarY Kids Clinic, Aurora, Colorado
| | - Nicole R Tartaglia
- Children's Hospital Colorado, eXtraordinarY Kids Clinic, Aurora, Colorado.,University of Colorado School of Medicine, Department of Pediatrics, Section of Developmental Pediatrics, Aurora, Colorado
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32
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Kazmi N, Sharp GC, Reese SE, Vehmeijer FO, Lahti J, Page CM, Zhang W, Rifas-Shiman SL, Rezwan FI, Simpkin AJ, Burrows K, Richardson TG, Santos Ferreira DL, Fraser A, Harmon QE, Zhao S, Jaddoe VW, Czamara D, Binder EB, Magnus MC, Håberg SE, Nystad W, Nohr EA, Starling AP, Kechris KJ, Yang IV, DeMeo DL, Litonjua AA, Baccarelli A, Oken E, Holloway JW, Karmaus W, Arshad SH, Dabelea D, Sørensen TI, Laivuori H, Raikkonen K, Felix JF, London SJ, Hivert MF, Gaunt TR, Lawlor DA, Relton CL. Hypertensive Disorders of Pregnancy and DNA Methylation in Newborns. Hypertension 2019; 74:375-383. [PMID: 31230546 PMCID: PMC6635125 DOI: 10.1161/hypertensionaha.119.12634] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 02/23/2019] [Accepted: 05/13/2019] [Indexed: 12/15/2022]
Abstract
Hypertensive disorders of pregnancy (HDP) are associated with low birth weight, shorter gestational age, and increased risk of maternal and offspring cardiovascular diseases later in life. The mechanisms involved are poorly understood, but epigenetic regulation of gene expression may play a part. We performed meta-analyses in the Pregnancy and Childhood Epigenetics Consortium to test the association between either maternal HDP (10 cohorts; n=5242 [cases=476]) or preeclampsia (3 cohorts; n=2219 [cases=135]) and epigenome-wide DNA methylation in cord blood using the Illumina HumanMethylation450 BeadChip. In models adjusted for confounders, and with Bonferroni correction, HDP and preeclampsia were associated with DNA methylation at 43 and 26 CpG sites, respectively. HDP was associated with higher methylation at 27 (63%) of the 43 sites, and across all 43 sites, the mean absolute difference in methylation was between 0.6% and 2.6%. Epigenome-wide associations of HDP with offspring DNA methylation were modestly consistent with the equivalent epigenome-wide associations of preeclampsia with offspring DNA methylation (R2=0.26). In longitudinal analyses conducted in 1 study (n=108 HDP cases; 550 controls), there were similar changes in DNA methylation in offspring of those with and without HDP up to adolescence. Pathway analysis suggested that genes located at/near HDP-associated sites may be involved in developmental, embryogenesis, or neurological pathways. HDP is associated with offspring DNA methylation with potential relevance to development.
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Affiliation(s)
- Nabila Kazmi
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Gemma C. Sharp
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- School of Oral and Dental Sciences (G.C.S.), University of Bristol, United Kingdom
| | - Sarah E. Reese
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Florianne O. Vehmeijer
- The Generation R Study Group (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Epidemiology (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Pediatrics (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine (J.L., K.R.), University of Helsinki, Finland
- Helsinki Collegium of Advanced Studies (J.L.), University of Helsinki, Finland
| | - Christian M. Page
- Division of Mental and Physical Health (C.M.P., W.N.), Norwegian Institute of Public Health, Oslo
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Norway (C.M.P.)
| | - Weiming Zhang
- Department of Biostatistics and Informatics (W.Z., K.J.K.), University of Colorado Anschutz Medical Campus, Aurora
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA (S.L.R.-S., E.O., M.-F.H.)
| | - Faisal I. Rezwan
- Human Development and Health (F.I.R., J.W.H.), Faculty of Medicine University of Southampton, United Kingdom
| | - Andrew J. Simpkin
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Insight Centre for Data Analytics, National University of Ireland, Galway (A.J.S.)
| | - Kimberley Burrows
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Tom G. Richardson
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Diana L. Santos Ferreira
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Abigail Fraser
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Quaker E. Harmon
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Shanshan Zhao
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Vincent W.V. Jaddoe
- The Generation R Study Group (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Epidemiology (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Pediatrics (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany (D.C., E.B.B.)
| | - Elisabeth B. Binder
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany (D.C., E.B.B.)
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA (E.B.B.)
| | - Maria C. Magnus
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Centre for Fertility and Health (M.C.M., S.E.H.), Norwegian Institute of Public Health, Oslo
| | - Siri E. Håberg
- Centre for Fertility and Health (M.C.M., S.E.H.), Norwegian Institute of Public Health, Oslo
| | - Wenche Nystad
- Division of Mental and Physical Health (C.M.P., W.N.), Norwegian Institute of Public Health, Oslo
| | - Ellen A. Nohr
- Research Unit of Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense (E.A.N.)
| | - Anne P. Starling
- Department of Epidemiology (A.P.S., I.V.Y., D.D.), University of Colorado Anschutz Medical Campus, Aurora
| | - Katerina J. Kechris
- Department of Biostatistics and Informatics (W.Z., K.J.K.), University of Colorado Anschutz Medical Campus, Aurora
| | - Ivana V. Yang
- Department of Epidemiology (A.P.S., I.V.Y., D.D.), University of Colorado Anschutz Medical Campus, Aurora
- Department of Medicine (I.V.Y.), University of Colorado Anschutz Medical Campus, Aurora
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO (I.V.Y.)
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA (D.L.D.)
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, University of Rochester Medical Center, NY (A.A.L.)
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY (A.B.)
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA (S.L.R.-S., E.O., M.-F.H.)
| | - John W. Holloway
- Human Development and Health (F.I.R., J.W.H.), Faculty of Medicine University of Southampton, United Kingdom
- Clinical and Experimental Sciences (J.W.H., S.H.A.), Faculty of Medicine University of Southampton, United Kingdom
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, TN (W.K.)
| | - Syed H. Arshad
- Clinical and Experimental Sciences (J.W.H., S.H.A.), Faculty of Medicine University of Southampton, United Kingdom
| | - Dana Dabelea
- Department of Epidemiology (A.P.S., I.V.Y., D.D.), University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics (D.D.), University of Colorado Anschutz Medical Campus, Aurora
| | - Thorkild I.A. Sørensen
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics (T.I.A.S.), Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Department of Public Health, Section on Epidemiology (T.I.A.S.), Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (H.L.), University of Helsinki, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Finland (H.L.)
- Faculty of Medicine and Life Sciences, University of Tampere, Finland (H.L.)
- Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland (H.L.)
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki. Finland (H.L.)
| | - Katri Raikkonen
- Department of Psychology and Logopedics, Faculty of Medicine (J.L., K.R.), University of Helsinki, Finland
| | - Janine F. Felix
- The Generation R Study Group (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Epidemiology (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Pediatrics (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Stephanie J. London
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA (S.L.R.-S., E.O., M.-F.H.)
- Diabetes Unit, Massachusetts General Hospital, Boston, MA (M.-F.H.)
| | - Tom R. Gaunt
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom (T.R.G., D.A.L., C.L.R.)
| | - Debbie A. Lawlor
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom (T.R.G., D.A.L., C.L.R.)
| | - Caroline L. Relton
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom (T.R.G., D.A.L., C.L.R.)
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33
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van Poppel MNM, Simmons D, Devlieger R, van Assche FA, Jans G, Galjaard S, Corcoy R, Adelantado JM, Dunne F, Harreiter J, Kautzky-Willer A, Damm P, Mathiesen ER, Jensen DM, Andersen LL, Tanvig M, Lapolla A, Dalfra MG, Bertolotto A, Wender-Ozegowska E, Zawiejska A, Hill D, Snoek FJ, Jelsma JGM, Desoye G. A reduction in sedentary behaviour in obese women during pregnancy reduces neonatal adiposity: the DALI randomised controlled trial. Diabetologia 2019; 62:915-925. [PMID: 30840112 PMCID: PMC6509072 DOI: 10.1007/s00125-019-4842-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 02/06/2019] [Indexed: 12/17/2022]
Abstract
AIMS/HYPOTHESIS Offspring of obese women are at increased risk of features of the metabolic syndrome, including obesity and diabetes. Lifestyle intervention in pregnancy might reduce adverse effects of maternal obesity on neonatal adiposity. METHODS In the Vitamin D And Lifestyle Intervention for Gestational Diabetes Mellitus (GDM) Prevention (DALI) lifestyle trial, 436 women with a BMI ≥29 kg/m2 were randomly assigned to counselling on healthy eating (HE), physical activity (PA) or HE&PA, or to usual care (UC). In secondary analyses of the lifestyle trial, intervention effects on neonatal outcomes (head, abdominal, arm and leg circumferences and skinfold thicknesses, estimated fat mass, fat percentage, fat-free mass and cord blood leptin) were assessed using multilevel regression analyses. Mediation of intervention effects by lifestyle and gestational weight gain was assessed. RESULTS Outcomes were available from 334 neonates. A reduction in sum of skinfolds (-1.8 mm; 95% CI -3.5, -0.2; p = 0.03), fat mass (-63 g; 95% CI -124, -2; p = 0.04), fat percentage (-1.2%; 95% CI -2.4%, -0.04%; p = 0.04) and leptin (-3.80 μg/l; 95% CI -7.15, -0.45; p = 0.03) was found in the HE&PA group, and reduced leptin in female neonates in the PA group (-5.79 μg/l; 95% CI -11.43, -0.14; p = 0.05) compared with UC. Reduced sedentary time, but not gestational weight gain, mediated intervention effects on leptin in both the HE&PA and PA groups. CONCLUSIONS/INTERPRETATION The HE&PA intervention resulted in reduced adiposity in neonates. Reduced sedentary time seemed to drive the intervention effect on cord blood leptin. Implications for future adiposity and diabetes risk of the offspring need to be elucidated. TRIAL REGISTRATION ISRCTN70595832.
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Affiliation(s)
- Mireille N M van Poppel
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
- Institute of Sport Science, University of Graz, Mozartgasse 14, 8010, Graz, Austria.
| | - David Simmons
- Macarthur Clinical School, Western Sydney University, Sydney, NSW, Australia
- Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
| | - Roland Devlieger
- Department of Development and Regeneration: Pregnancy, Fetus and Neonate, KU Leuven, Leuven, Belgium
- Department of Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - F Andre van Assche
- Department of Development and Regeneration: Pregnancy, Fetus and Neonate, KU Leuven, Leuven, Belgium
- Department of Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Goele Jans
- Department of Development and Regeneration: Pregnancy, Fetus and Neonate, KU Leuven, Leuven, Belgium
- Department of Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
| | - Sander Galjaard
- Department of Development and Regeneration: Pregnancy, Fetus and Neonate, KU Leuven, Leuven, Belgium
- Department of Gynaecology and Obstetrics, University Hospitals Leuven, Leuven, Belgium
- Division of Obstetrics and Prenatal Medicine, Department of Obstetrics and Gynaecology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Rosa Corcoy
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Centro de Investigación Biomédica en Red (CIBER) Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Juan M Adelantado
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Fidelma Dunne
- Galway Diabetes Research Centre, National University of Ireland, Galway, Ireland
- College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Ireland
| | - Jürgen Harreiter
- Gender Medicine Unit, Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Alexandra Kautzky-Willer
- Gender Medicine Unit, Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | - Peter Damm
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Elisabeth R Mathiesen
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dorte M Jensen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Lise-Lotte Andersen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Mette Tanvig
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
- Department of Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
- , Region of Southern Denmark, Denmark
| | - Annunziata Lapolla
- Dipartimento di Medicina, Università Degli Studi di Padova, Padua, Italy
| | - Maria G Dalfra
- Dipartimento di Medicina, Università Degli Studi di Padova, Padua, Italy
| | - Alessandra Bertolotto
- Department of Clinical and Experimental Medicine, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy
| | | | | | - David Hill
- Recherche en Santé Lawson SA, Bronschhofen, Switzerland
| | - Frank J Snoek
- Department of Medical Psychology, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Judith G M Jelsma
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Gernot Desoye
- Department of Obstetrics and Gynaecology, Medical University of Graz, Graz, Austria
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Alvarez-Pitti J, Ros-Forés MA, Bayo-Pérez A, Palou M, Lurbe E, Palou A, Picó C. Blood cell transcript levels in 5-year-old children as potential markers of breastfeeding effects in those small for gestational age at birth. J Transl Med 2019; 17:145. [PMID: 31064394 PMCID: PMC6505189 DOI: 10.1186/s12967-019-1896-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Accepted: 04/25/2019] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Nutrition of the newborn during the early postnatal period seems to be of capital importance and there is clinical evidence showing the protective effect of breastfeeding compared with formula feeding on childhood obesity and its comorbidities. Infants born small for gestation age may be more sensitive to the type of feeding during lactation. Here, we aimed to analyze the impact of birth weight and the type of infant feeding on the expression levels in peripheral blood cells of selected candidate genes involved in energy homeostasis in 5-year-old children, to find out potential early biomarkers of metabolic programming effects during this period of metabolic plasticity. METHODS Forty subjects were recruited at birth and divided in four groups according to birth weight (adequate or small for gestational age) and type of infant feeding (breastfeeding or formula feeding). They were followed from birth to the age of 5 years. RESULTS At 5 years, no significant differences regarding anthropometric parameters were found between groups, and all children had normal biochemical values. Expression levels of UCP2 and MC4R in peripheral blood cells were lower and higher, respectively, in formula feeding children compared with breastfeeding ones (P = 0.002 and P = 0.064, two-way ANOVA). Differences were more marked and significant by Student's t test in small for gestation age children (P < 0.001 and P = 0.017, respectively). Transcript levels of FASN and FTO in peripheral blood cells were also different according to the type of infant feeding, but only in small for gestation age children. CONCLUSIONS Altogether, these results suggest that small for gestation age infants are more sensitive to the type of feeding during lactation, and transcript levels of particular genes in peripheral blood cells, especially the MC4R/UCP2 mRNA ratio, may precisely reflect these effects in the absence of clear differences in phenotypic traits.
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Affiliation(s)
- Julio Alvarez-Pitti
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- INCLIVA Biomedical Research Institute, Hospital Clínico. University of Valencia, Valencia, Spain
| | - Maria Amparo Ros-Forés
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
| | - Ana Bayo-Pérez
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
| | - Mariona Palou
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands (UIB), Palma de Mallorca, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
| | - Empar Lurbe
- Pediatric Department, Consorcio Hospital General, University of Valencia, Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- INCLIVA Biomedical Research Institute, Hospital Clínico. University of Valencia, Valencia, Spain
| | - Andreu Palou
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands (UIB), Palma de Mallorca, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
| | - Catalina Picó
- CIBER Fisiopatología Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Molecular Biology, Nutrition and Biotechnology (Nutrigenomics), University of the Balearic Islands (UIB), Palma de Mallorca, Spain
- Instituto de Investigación Sanitaria Illes Balears (IdISBa), Palma de Mallorca, Spain
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Longmore DK, Barr ELM, Lee IL, Barzi F, Kirkwood M, Whitbread C, Hampton V, Graham S, Van Dokkum P, Connors C, Boyle JA, Catalano P, Brown ADH, O'Dea K, Oats J, McIntyre HD, Shaw JE, Maple-Brown LJ. Maternal body mass index, excess gestational weight gain, and diabetes are positively associated with neonatal adiposity in the Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) study. Pediatr Obes 2019; 14:e12490. [PMID: 30650263 DOI: 10.1111/ijpo.12490] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 09/27/2018] [Accepted: 10/03/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND In-utero exposures likely influence the onset and severity of obesity in youth. With increasing rates of type 2 diabetes mellitus (T2DM) and maternal adiposity in pregnancy globally, it is important to assess the impact of these factors on neonatal adipose measures. OBJECTIVES To evaluate the contribution of maternal ethnicity, body mass index (BMI), gestational weight gain, and hyperglycaemia to neonatal adiposity. METHODS Pregnancy and Neonatal Diabetes Outcomes in Remote Australia (PANDORA) is a longitudinal cohort study of Australian mother and neonate pairs. In this analysis, Indigenous (n = 519) and Europid (n = 358) women were included, of whom 644 had hyperglycaemia (type 2 diabetes [T2DM], diabetes in pregnancy [DIP], or gestational diabetes [GDM]). Associations between maternal ethnicity, hyperglycaemia, BMI and gestational weight gain, and the neonatal outcomes of length, head circumference, sum of skinfolds, total body fat, and percentage body fat were examined. Models were adjusted for maternal age, smoking status, parity, education, neonatal gender, and gestational age. RESULTS Among those with hyperglycaemia in pregnancy, Indigenous women had a higher proportion of T2DM and DIP (36%, 13%) compared with Europid women (4%, 3%). In multivariate analysis, maternal T2DM (compared with no hyperglycaemia), BMI during pregnancy, and excess compared with appropriate gestational weight gain, were significantly associated with greater neonatal measures. DIP was associated with greater sum of skinfolds, total body fat, and percentage body fat. Indigenous ethnicity was associated with greater sum of skinfolds. CONCLUSIONS Maternal BMI, excess gestational weight gain, and hyperglycaemia operated as independent factors influencing neonatal adiposity. Interventions addressing these factors are needed to reduce neonatal adiposity.
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Affiliation(s)
- Danielle K Longmore
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Department of Paediatrics, Western Health, Melbourne, Australia
| | - Elizabeth L M Barr
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Baker Heart and Diabetes Institute, Melbourne, Australia
| | - I-Lynn Lee
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Federica Barzi
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Marie Kirkwood
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Cherie Whitbread
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Division of Medicine, Royal Darwin Hospital, Darwin, Australia
| | - Vanya Hampton
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Sian Graham
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Paula Van Dokkum
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Baker Heart and Diabetes Institute, Alice Springs, Australia
| | | | - Jacqueline A Boyle
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | | | - Alex D H Brown
- South Australian Health and Medical Research Institute, Adelaide, Australia
| | - Kerin O'Dea
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia
| | - Jeremy Oats
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - H David McIntyre
- Mater Medical Research Institute, University of Queensland, Brisbane, Australia
| | | | - Louise J Maple-Brown
- Wellbeing and Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia.,Division of Medicine, Royal Darwin Hospital, Darwin, Australia
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36
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Andersson-Hall UK, Järvinen EAJ, Bosaeus MH, Gustavsson CE, Hårsmar EJ, Niklasson CA, Albertsson-Wikland KG, Holmäng AB. Maternal obesity and gestational diabetes mellitus affect body composition through infancy: the PONCH study. Pediatr Res 2019; 85:369-377. [PMID: 30705398 DOI: 10.1038/s41390-018-0248-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 11/14/2018] [Accepted: 11/23/2018] [Indexed: 01/28/2023]
Abstract
BACKGROUND To determine how maternal obesity or gestational diabetes mellitus (GDM) affect infant body size and body composition during the first year of life. METHODS Eighty three normal-weight (NW) women, 26 obese (OB) women, and 26 women with GDM were recruited during pregnancy. Infant body composition was determined by air-displacement plethysmography at 1 and 12 weeks, and anthropometric measurements made until 1 year of age. RESULTS Girl infants born to OB women and women with GDM had a higher body-fat percentage (BF%) at 1 and 12 weeks of age than girls born to NW women. Girls had higher BF% than boys in OB and GDM groups only. Maternal HbA1c and fasting plasma glucose correlated with girl infant BF% at 1 week of age. Maternal weight at start of pregnancy correlated with birthweight in NW and OB groups, but not the GDM group. OB group infants showed greater BMI increases from 1 week to 1 year than both NW and GDM group infants. CONCLUSION Results show that both maternal glycaemia and obesity are determinants of increased early life adiposity, especially in girls, with glycaemic levels being more influential than maternal weight for infants born to women with GDM.
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Affiliation(s)
- Ulrika K Andersson-Hall
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
| | - Evelina A J Järvinen
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Marja H Bosaeus
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Carolina E Gustavsson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Ellen J Hårsmar
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - C Aimon Niklasson
- Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Agneta B Holmäng
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Huvanandana J, Carberry AE, Turner RM, Bek EJ, Raynes-Greenow CH, McEwan AL, Jeffery HE. An anthropometric approach to characterising neonatal morbidity and body composition, using air displacement plethysmography as a criterion method. PLoS One 2018; 13:e0195193. [PMID: 29601596 PMCID: PMC5877876 DOI: 10.1371/journal.pone.0195193] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 03/14/2018] [Indexed: 11/18/2022] Open
Abstract
Background With the greatest burden of infant undernutrition and morbidity in low and middle income countries (LMICs), there is a need for suitable approaches to monitor infants in a simple, low-cost and effective manner. Anthropometry continues to play a major role in characterising growth and nutritional status. Methods We developed a range of models to aid in identifying neonates at risk of malnutrition. We first adopted a logistic regression approach to screen for a composite neonatal morbidity, low and high body fat (BF%) infants. We then developed linear regression models for the estimation of neonatal fat mass as an assessment of body composition and nutritional status. Results We fitted logistic regression models combining up to four anthropometric variables to predict composite morbidity and low and high BF% neonates. The greatest area under receiver-operator characteristic curves (AUC with 95% confidence intervals (CI)) for identifying composite morbidity was 0.740 (0.63, 0.85), resulting from the combination of birthweight, length, chest and mid-thigh circumferences. The AUCs (95% CI) for identifying low and high BF% were 0.827 (0.78, 0.88) and 0.834 (0.79, 0.88), respectively. For identifying composite morbidity, BF% as measured via air displacement plethysmography showed strong predictive ability (AUC 0.786 (0.70, 0.88)), while birthweight percentiles had a lower AUC (0.695 (0.57, 0.82)). Birthweight percentiles could also identify low and high BF% neonates with AUCs of 0.792 (0.74, 0.85) and 0.834 (0.79, 0.88). We applied a sex-specific approach to anthropometric estimation of neonatal fat mass, demonstrating the influence of the testing sample size on the final model performance. Conclusions These models display potential for further development and evaluation in LMICs to detect infants in need of further nutritional management, especially where traditional methods of risk management such as birthweight for gestational age percentiles may be variable or non-existent, or unable to detect appropriately grown, low fat newborns.
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Affiliation(s)
- Jacqueline Huvanandana
- School of Electrical and Information Engineering, University of Sydney, Sydney, Australia
- * E-mail:
| | - Angela E. Carberry
- School of Electrical and Information Engineering, University of Sydney, Sydney, Australia
| | - Robin M. Turner
- School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia
| | - Emily J. Bek
- Sydney Medical School, University of Sydney, Sydney, Australia
| | | | - Alistair L. McEwan
- School of Electrical and Information Engineering, University of Sydney, Sydney, Australia
| | - Heather E. Jeffery
- School of Electrical and Information Engineering, University of Sydney, Sydney, Australia
- Sydney Medical School, University of Sydney, Sydney, Australia
- Sydney School of Public Health, University of Sydney, Sydney, Australia
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Altered gene expression and metabolism in fetal umbilical cord mesenchymal stem cells correspond with differences in 5-month-old infant adiposity gain. Sci Rep 2017; 7:18095. [PMID: 29273781 PMCID: PMC5741772 DOI: 10.1038/s41598-017-17588-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 11/27/2017] [Indexed: 12/14/2022] Open
Abstract
The intrauterine period is a critical time wherein developmental exposure can influence risk for chronic disease including childhood obesity. Using umbilical cord-derived mesenchymal stem cells (uMSC) from offspring born to normal-weight and obese mothers, we tested the hypothesis that changes in infant body composition over the first 5 months of life correspond with differences in cellular metabolism and transcriptomic profiles at birth. Higher long-chain acylcarnitine concentrations, lipid transport gene expression, and indicators of oxidative stress in uMSC-adipocytes were related to higher adiposity at 5 months of age. In uMSC-myocytes, lower amino acid concentrations and global differential gene expression for myocyte growth, amino acid biosynthesis, and oxidative stress were related to lower infant percent fat-free mass at 5 months of age, particularly in offspring of obese mothers. This is the first evidence of human infant adipocyte- or myocyte-related alterations in cellular metabolic pathways that correspond with increased adiposity and lower fat-free mass in early infancy. These pathways might reflect the effects of an adverse maternal metabolic environment on the fetal metabolome and genome. Our findings suggest that programmed differences in infant stem cell metabolism correspond with differences in body composition in early life, a known contributor to obesity risk.
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Association between supraclavicular brown adipose tissue composition at birth and adiposity gain from birth to 6 months of age. Pediatr Res 2017; 82:1017-1021. [PMID: 28723888 PMCID: PMC5685919 DOI: 10.1038/pr.2017.159] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 06/26/2017] [Indexed: 12/11/2022]
Abstract
BackgroundBrown adipose tissue (BAT) is associated with higher energy expenditure and lower adiposity in adults. However, the relationship between BAT composition and adiposity in early life is unknown. The objective of this study was to test the hypothesis that brown fat composition at birth is prospectively associated with adiposity gain during the first 6 months of postnatal life.MethodsN=35 healthy infants were followed up prospectively from intrauterine life and birth through 6 months of age. Dixon magnetic resonance imaging (MRI) scans were conducted during the neonatal period to characterize supraclavicular BAT composition. Dual-energy X-ray absorptiometry to assess total body composition was performed within the first and sixth months of life.ResultsAfter adjusting for potential confounding factors, a more brown-like composition (smaller fat fraction) of the supraclavicular BAT depot was associated with a smaller increase in percent body fat over the first 6 months of postnatal life.ConclusionsA more brown-like BAT composition at birth appears to be protective against excess adiposity gain in early life. Newborn BAT tissue may constitute a target for prevention strategies against the subsequent development of obesity.
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40
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Phillips JK, Higgins ST. Applying behavior change techniques to weight management during pregnancy: Impact on perinatal outcomes. Prev Med 2017; 104:133-136. [PMID: 28757450 PMCID: PMC5735012 DOI: 10.1016/j.ypmed.2017.07.023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Revised: 07/18/2017] [Accepted: 07/24/2017] [Indexed: 12/19/2022]
Abstract
Unhealthy behaviors and lifestyle choices are contributing to the obesity epidemic and associated morbidities. Among reproductive aged women, obesity adversely affects perinatal outcomes and longer term maternal and child health. Interventions utilizing strategies of behavior change have the potential to improve outcomes, especially during pregnancy. Antenatal interventions to improve adherence to gestational weight gain guidelines are one such example. Although behaviorally-based intervention trials have been associated with modest decreases in gestational weight gain, the effect on short term perinatal outcomes has thus far been minimal. This commentary aims to discuss possible reasons behind the failure to improve perinatal outcomes as well as to encourage future areas of study.
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Affiliation(s)
- Julie K Phillips
- Vermont Center on Behavior and Health, University of Vermont, United States; Departments of Obstetrics, Gynecology, and Reproductive Sciences, University of Vermont, United States.
| | - Stephen T Higgins
- Vermont Center on Behavior and Health, University of Vermont, United States; Psychiatry, University of Vermont, United States; Psychological Science, University of Vermont, United States
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41
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Starling AP, Sauder KA, Kaar JL, Shapiro AL, Siega-Riz AM, Dabelea D. Maternal Dietary Patterns during Pregnancy Are Associated with Newborn Body Composition. J Nutr 2017; 147:1334-1339. [PMID: 28539412 DOI: 10.3945/jn.117.248948] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 03/11/2017] [Accepted: 04/26/2017] [Indexed: 01/04/2023] Open
Abstract
Background: Maternal dietary intake during pregnancy may influence offspring growth and adiposity. Specific dietary patterns associated with newborn adiposity have not been identified.Objective: We aimed to identify patterns of maternal dietary intake associated with gestational weight gain (GWG) and fasting glucose during pregnancy and to evaluate whether adherence to these patterns is associated with newborn adiposity.Methods: In the Healthy Start prospective cohort, dietary intake during pregnancy was assessed via 24-h recalls. Reduced-rank regression identified dietary patterns predictive of GWG and fasting glucose. Associations between dietary patterns and newborn fat mass, fat-free mass, and adiposity were estimated by using linear regression models among 764 ethnically diverse mother-infant pairs.Results: Two dietary patterns were identified. Pattern 1, correlated with greater GWG (r = 0.22, P < 0.01), was characterized by a higher consumption of poultry, nuts, cheese, fruits, whole grains, added sugars, and solid fats. Greater adherence to pattern 1 (upper compared with lower tertile) predicted a greater newborn fat-free mass (61 g; 95% CI: 12, 110 g) but no difference in fat mass or adiposity. Pattern 2, correlated with greater maternal fasting glucose (r = 0.16, P < 0.01), was characterized by a higher consumption of eggs, starchy vegetables, solid fats, fruits, and nonwhole grains and a lower consumption of dairy foods, dark-green vegetables, and whole grains. Greater adherence to pattern 2 was associated with a greater newborn birth weight (80 g; 95% CI: 15, 145 g), fat mass (33 g; 95% CI: 8, 59 g), and adiposity (0.9%; 95% CI: 0.3%, 1.6%).Conclusions: Among pregnant women, adherence to a dietary pattern characterized by an intake of poultry, nuts, cheese, and whole grains was associated with greater GWG but not maternal fasting glucose or newborn adiposity. Adherence to a pattern characterized by an intake of eggs, starchy vegetables, and nonwhole grains was associated with higher maternal fasting glucose and greater newborn adiposity. Maternal dietary patterns during pregnancy may influence newborn body composition.
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Affiliation(s)
| | - Katherine A Sauder
- Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO; and
| | - Jill L Kaar
- Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO; and
| | | | - Anna Maria Siega-Riz
- Departments of Public Health Sciences and Obstetrics and Gynecology, University of Virginia School of Medicine, Charlottesville, VA
| | - Dana Dabelea
- Departments of Epidemiology and.,Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, CO; and
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