Maternal nutrition, intrauterine programming and consequential risks in the offspring

Yajnik, Chittaranjan S.; Deshmukh, Urmila

doi:10.1007/s11154-008-9087-z

Cited by 175 publications

(127 citation statements)

References 47 publications

Supporting

Mentioning

125

Contrasting

Order By: Relevance

“…21 For example, children born to mothers with gestational diabetes or high caloric intake are at increased risk of developing metabolic conditions later in life. 21,43 Interestingly, perigestational NNS exposure in animals also predisposes offspring to obesity 21 ; however, our review indicates that no human studies to date have investigated this association. Recent data show that NNSs are commonly detected in human milk, 44 suggesting another route of early-life NNS exposure with unstudied clinical implications.…”

Section: Opportunities For Future Researchmentioning

confidence: 97%

Early Exposure to Nonnutritive Sweeteners and Long-term Metabolic Health: A Systematic Review

Reid¹,

Chauhan

Rabbani

et al. 2016

Pediatrics

View full text Add to dashboard Cite

CONTEXT: Nonnutritive sweetener (NNS) consumption is increasing among children, yet its long-term health impact is unclear, particularly when exposure occurs during early life.OBJECTIVE: To synthesize evidence from prospective studies evaluating the association of early-life NNS exposure and long-term metabolic health.DATA SOURCES: Medline, Embase, and Cochrane Library (inception to July 2015). STUDY SELECTION:We aimed to include randomized controlled trials (RCTs) evaluating NNSbased interventions and prospective cohort studies reporting NNS exposure among pregnant women, infants, or children (<12 years of age), with a minimum study duration of 6 months. DATA EXTRACTION:The primary outcome was BMI; secondary outcomes included growth velocity, overweight/obesity, adiposity, and adverse metabolic effects. Study quality and risk of bias were evaluated using validated assessment tools. RESULTS:We identified 6 eligible cohort studies and 2 RCTs (n = 15 641 children). Half of the cohorts reported increasing weight gain or fat mass accumulation with increasing NNS intake, and pooled data from 2 cohorts showed a significant correlation with BMI gain (weighted mean correlation 0.023, 95% confidence interval 0.006 to 0.041). RCTs reported contradictory effects on weight change in children receiving NNSs. No eligible studies evaluated prenatal or infant NNS exposure.LIMITATIONS: Meta-analysis was limited because of the small number of eligible studies and heterogeneity of populations and outcomes. CONCLUSIONS:There is limited and inconsistent evidence of the long-term metabolic effects of NNS exposure during gestation, infancy, and childhood. Further research is needed to inform recommendations for the use of NNSs in this sensitive population.

show abstract

Section: Opportunities For Future Researchmentioning

confidence: 97%

Early Exposure to Nonnutritive Sweeteners and Long-term Metabolic Health: A Systematic Review

Reid¹,

Chauhan

Rabbani

et al. 2016

Pediatrics

View full text Add to dashboard Cite

show abstract

“…LGA, large for gestational age. associated with neonatal adiposity in an Indian population, 38 and Asian ethnicity has also been shown to predict adiposity. 39 The predictors of neonatal adiposity will require further investigation in larger studies.…”

Section: Main Findingsmentioning

confidence: 95%

Antenatal predictors and body composition of large-for-gestational-age newborns: perinatal health outcomes

et al. 2014

View full text Add to dashboard Cite

OBJECTIVE:To compare body composition of large-for-gestational-age (LGA) with appropriate-for-gestational-age (AGA) newborns and to identify antenatal predictors of LGA. STUDY DESIGN: This cross-sectional study included 536 term, singleton infants. Anthropometric measurements were performed within 48 h of birth and included determination of body fat percentage (%BF) by air displacement plethysmography. Associations were investigated using logistic regression. RESULT:LGA infants had greater %BF (P o 0.001) compared with AGA infants. Significant predictors of LGA infants included parity (odds ratio (OR) = 1.98, (95% confidence interval (CI) 1.00, 4.02)), paternal height (OR = 1.08, (95% CI 1.03, 1.14)), maternal pregravid weight (65 to 74.9 kg: OR = 2.77, (95% CI 1.14, 7.06)) and gestational weight gain (OR = 1.09, 95% CI (1.03, 1.16)). Gestational diabetes mellitus was not associated with LGA infants (P = 0.598). CONCLUSION: Paternal height, parity, maternal pregravid weight and gestational weight gain were strongly associated with LGA infants. These results may allow early prediction and potential modification, thereby optimising clinical outcomes.

show abstract

“…The term 'programming' means that the physiological options of the child have been restricted by his environmental conditions during foetal life. In other words, if the environment in later life does not match the options for which the foetus has been programmed, the risk of disease or excess of fat deposition increases (Yajnik and Deshmukh, 2008). It has also been stated that environmental or nutritional changes during critical periods of early stages of growth can reset the developmental path when tissues still have some plasticity.…”

Section: Endocrine and Metabolic Regulation Of Muscle Physiology Befomentioning

confidence: 99%

Endocrine and metabolic regulation of muscle growth and body composition in cattle

Hocquette

2010

Animal

View full text Add to dashboard Cite

Muscle metabolism (in interaction with other organs and tissues, including adipose tissue) plays an important role in the control of growth and body composition. Muscle ontogenesis has been described in different genotypes of cattle for myofibres, connective tissue and intramuscular depots. The ontogenesis or the action of putatively important factors controlling muscle development (IGF-II expression, IGF receptors, growth hormone (GH) receptor, myostatin, basic fibroblast growth factor, transforming growth factor-b1, insulin and thyroid hormones) has also been studied on bovine foetal muscle samples and satellite cells. The glucose/ insulin axis has been specifically studied in both the bovine adipose tissue and heart. Clearly, cattle, like sheep, are mature species at birth based on their muscle characteristics compared to other mammalian or farm animal species. The different myoblast generations have been well characterised in cattle, including the second generation which is liable to be affected by foetal undernutrition at least in sheep. Interesting genotypes, for example, double-muscled genotype, have been characterised by an altered metabolic and endocrine status associated with a reduced fat mass, specific muscle traits and different foetal characteristics. Finally, the recent development of genomics in cattle has allowed the identification of novel genes controlling muscle development during foetal and postnatal life. Generally, a high muscle growth potential is associated with a reduced fat mass and a switch of muscle fibres towards the glycolytic type. The possibility and the practical consequences of manipulating muscle growth and, hence, body composition by nutritional and hormonal factors are discussed for bovines based on our current biological knowledge.

show abstract

Maternal nutrition, intrauterine programming and consequential risks in the offspring

Cited by 175 publications

References 47 publications

Early Exposure to Nonnutritive Sweeteners and Long-term Metabolic Health: A Systematic Review

Early Exposure to Nonnutritive Sweeteners and Long-term Metabolic Health: A Systematic Review

Antenatal predictors and body composition of large-for-gestational-age newborns: perinatal health outcomes

Endocrine and metabolic regulation of muscle growth and body composition in cattle

Contact Info

Product

Resources

About