Developmental programming: State‐of‐the‐science and future directions–Summary from a Pennington Biomedical symposium

Sutton, Elizabeth F.; Gilmore, L Anne; Dunger, David B.; Heijmans, B.T.; Hivert, Marie‐France; Ling, Charlotte; Martínez, Julian; Ozanne, Susan E.; Simmons, Rebecca A.; Szyf, Moshe; Waterland, Robert A.; Redman, Leanne M.; Ravussin, Éric

doi:10.1002/oby.21487

Cited by 55 publications

(40 citation statements)

References 97 publications

(132 reference statements)

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“…physical and psychological health, lifestyle) and environmental factors can modulate the developmental program [1][2][3]. This modulation could then permanently change the physiology, metabolism, epigenome and microbiome of the child, subsequently affecting healthy development or increasing susceptibility to (chronic) diseases [4][5][6]. Developmental programming via epigenetic changes may also have transgenerational effects without changing the genetic code in either the maternal or paternal line [7].…”

Section: Introductionmentioning

confidence: 99%

Lifelines NEXT: a prospective birth cohort adding the next generation to the three-generation Lifelines cohort study

et al. 2020

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Epidemiological research has shown there to be a strong relationship between preconceptional, prenatal, birth and earlylife factors and lifelong health. The Lifelines NEXT is a birth cohort designed to study the effects of intrinsic and extrinsic determinants on health and disease in a four-generation design. It is embedded within the Lifelines cohort study, a prospective three-generation population-based cohort study recording the health and health-related aspects of 167,729 individuals living in Northern Netherlands. In Lifelines NEXT we aim to include 1500 pregnant Lifelines participants and intensively follow them, their partners and their children until at least 1 year after birth. Longer-term follow-up of physical and psychological health will then be embedded following Lifelines procedures. During the Lifelines NEXT study period biomaterials-including maternal and neonatal (cord) blood, placental tissue, feces, breast milk, nasal swabs and urine-will be collected from the mother and child at 10 time points. We will also collect data on medical, social, lifestyle and environmental factors via questionnaires at 14 different time points and continuous data via connected devices. The extensive collection of different (bio)materials from mother and child during pregnancy and afterwards will provide the means to relate environmental factors including maternal and neonatal microbiome composition) to (epi)genetics, health and developmental outcomes. The nesting of the study within Lifelines enables us to include preconceptional transgenerational data and can be used to identify other extended families within the cohort.

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Section: Introductionmentioning

confidence: 99%

Lifelines NEXT: a prospective birth cohort adding the next generation to the three-generation Lifelines cohort study

et al. 2020

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“…While current standards mandate prevention to start soon after birth (2010), research increasingly shows that programming of obesity begins prenatally (Sutton et al, 2016). Moreover, while attempts to curb childhood obesity have largely focused on physical activity and diet, childhood obesity is likely influenced by a range of environmental factors beyond nutrition and exercise (Birch et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Prenatal particulate air pollution exposure and body composition in urban preschool children: Examining sensitive windows and sex-specific associations

Chiu

Hsu

Wilson

et al. 2017

Environmental Research

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Background Evolving animal studies and limited epidemiological data show that prenatal air pollution exposure is associated with childhood obesity. Timing of exposure and child sex may play an important role in these associations. We applied an innovative method to examine sex-specific sensitive prenatal windows of exposure to PM2.5 on anthropometric measures in preschool-aged children. Methods Analyses included 239 children born ≥37 weeks gestation in an ethnically-mixed lower-income urban birth cohort. Prenatal daily PM2.5 exposure was estimated using a validated satellite-based spatio-temporal model. Body mass index z-score (BMI-z), fat mass, % body fat, subscapular and triceps skinfold thickness, waist and hip circumferences and waist-to-hip ratio (WHR) were assessed at age 4.0±0.7 years. Using Bayesian distributed lag interaction models (BDLIMs), we examined sex differences in sensitive windows of weekly averaged PM2.5 levels on these measures, adjusting for child age, maternal age, education, race/ethnicity, and pre-pregnancy BMI. Results Mothers were primarily Hispanic (55%) or Black (26%), had ≤12 years of education (66%) and never smoked (80%). Increased PM2.5 exposure from 8–17 and 15–22 weeks gestation was significantly associated with increased BMI z-scores and fat mass in boys, but not in girls. Higher PM2.5 exposure from 10–29 weeks gestation was significantly associated with increased WHR in girls, but not in boys. Prenatal PM2.5 was not significantly associated with other measures of body composition. Estimated cumulative effects across pregnancy, accounting for sensitive windows and within-window effects, were 0.21 (95%CI=0.01–0.37) for BMI-z and 0.36 (95%CI=0.12–0.68) for fat mass (kg) in boys, and 0.02 (95%CI=0.01–0.03) for WHR in girls, all per μg/m3 increase in PM2.5. Conclusions Increased prenatal PM2.5 exposure was more strongly associated with indices of increased whole body size in boys and with an indicator of body shape in girls. Methods to better characterize vulnerable windows may provide insight into underlying mechanisms contributing to sex-specific associations.

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“…Early life represents a critical time window in terms of metabolic programming of future health [1]. Postnatal growth pattern and body composition development contribute to the programming process and affect the disease risk in later life.…”

Section: Introductionmentioning

confidence: 99%

Is Fat Mass Accretion of Late Preterm Infants Associated with Insulin Resistance?

et al. 2017

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Background: Late preterm infants show a major fat mass accretion from birth to term. The contribution of preterm birth to the development of the metabolic syndrome is still under investigation. Objectives: To evaluate body composition changes in late preterm infants during the first 3 months and to investigate their insulin sensitivity and resistance. Methods: We conducted an observational, longitudinal study. A total of 216 late preterm infants underwent body composition assessment using an air displacement plethysmograph at term and at 3 months of corrected age. In a subgroup of infants (n = 48) the blood glucose and insulin concentration were determined at term and insulin resistance (homeostasis model assessment for insulin resistance; HOMA-IR) and sensitivity (quantitative insulin sensitivity check index; QUICKI) were then calculated. The reference group comprised 71 healthy term infants. Results: The mean birth weight and gestational age were 2,390 ± 391 g and 35.2 ± 0.8 weeks, respectively. At term the fat mass index (kg/m²) of late preterm infants, born adequate for their gestational age and small for their gestational age, was higher than that of term infants (2.08 ± 0.82 vs. 1.62 ± 0.64 vs. 1.03 ± 0.36, p < 0.005, respectively), whereas at 3 months of corrected age no difference was found among the groups. The mean values of glucose, insulin, HOMA-IR, and QUICKI were within the 5th and 95th percentiles. Conclusions: On the basis of these preliminary findings, fat mass accretion of late preterm infants appears not to be associated with perturbation of the glucose homeostasis.

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Developmental programming: State‐of‐the‐science and future directions–Summary from a Pennington Biomedical symposium

Cited by 55 publications

References 97 publications

Lifelines NEXT: a prospective birth cohort adding the next generation to the three-generation Lifelines cohort study

Lifelines NEXT: a prospective birth cohort adding the next generation to the three-generation Lifelines cohort study

Prenatal particulate air pollution exposure and body composition in urban preschool children: Examining sensitive windows and sex-specific associations

Is Fat Mass Accretion of Late Preterm Infants Associated with Insulin Resistance?

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