Associations between perinatal factors and adiponectin and leptin in 9‐year‐old <scp>M</scp>exican–<scp>A</scp>merican children

Volberg, Vitaly; Harley, Kim G.; Aguilar, Raul; Rosas, Lisa G.; Huen, Karen; Yousefi, Paul; Davé, Vrushank; Phan, Nguyet; Lustig, Robert H.; Eskenazi, Brenda; Holland, Nina

doi:10.1111/j.2047-6310.2012.00127.x

Cited by 15 publications

(19 citation statements)

References 48 publications

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“…We observed that maternal PC scores at post-supplementation were positively associated with child PC scores at 9-12 years. Previous studies showed that maternal leptin concentration was correlated with children’s leptin concentration in cord blood [23,48] and serum of 9-years old children [49]. Postpartum maternal biomarkers may be associated with child biomarkers through breast milk, in agreement with a previous study that reported a correlation between leptin concentration in breast milk with its concentration in maternal serum and infant’s weight gain [50].…”

Section: Discussionsupporting

confidence: 87%

Maternal biomarker patterns for metabolism and inflammation in pregnancy are influenced by multiple micronutrient supplementation and associated with childrens’s biomarker patterns and nutritional status at 9-12 years of age in Lombok, Indonesia

Priliani

Oktavianthi

Prado

et al. 2019

Preprint

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27Maternal nutritional status influences fetal development and long-term risk for adult 28 non-communicable diseases. The underlying mechanisms of these long-term effects remain 29 poorly understood. We examined whether maternal biomarkers for metabolism and 30 inflammation during pregnancy were associated with child biomarkers in the 31 Supplementation with Multiple Micronutrients Intervention Trial (SUMMIT, 32 ISRCTN34151616) in Lombok, Indonesia wherein archived blood specimens and relevant 33 data were available from pregnant women and their children 9-12 years after birth. Forty-four 34 mother-child dyads comprising 132 specimens were analyzed by multiplex microbead 35 immunoassays to quantify vitamin D-binding protein (D), adiponectin (A), retinol-binding 36 protein 4 (R), C-reactive protein (C), and leptin (L). Principal component analysis (PCA) 37 revealed distinct variance patterns, i.e. principal components (PC), for baseline pregnancy 38 bp.pc1.DAR and bp.pc2.CL; combined follow-up and post-partum dp-39 pp.pc1.DARL and dp-pp.pc2.ACL; and children ch.pc1.DRC and 40 ch.pc2.DAL. Maternal multiple micronutrient (MMN) supplementation modified the 41 association between baseline maternal bp.pc2.CL and post-supplementation maternal dp-42 pp.pc2.ACL (p=0.022). Significant associations were found between maternal dp-43 pp.pc2.ACL and increased child's ch.pc1.DRC (p=0.036), and decreased child's 44 BMI z-score (BMIZ) (p=0.022); and between maternal dp-pp.pc1.DARL and 45 increased child's BMIZ (p=0.036). Child's ch.pc1.DRC was associated with decreased 46 birth weight (p=0.036), and increased child's BMIZ (p=0.002); and ch.pc2.DAL was 47 associated with increased child's BMIZ (p=0.005), decreased maternal height (p=0.030) and48 girls (p=0.002). Elevated adiponectin and leptin pattern in pregnancy was associated with 49 increased C-reactive protein and vitamin A and D binding proteins pattern in children, 3 50 suggesting biomarkers acting in concert may be more important than single biomarker 51 effects. Patterns in pregnancy proximal to birth were more associated with child status, and 52 child patterns were most frequently associated with child status, particularly child BMI. 53 Although MMN supplementation and certain maternal biomarker patterns have effects on 54 metabolism and inflammation in pregnancy and in the child, nevertheless, nutrition 55 conditions after birth may have a greater impact. 56 57 Keywords: biomarkers, PCA, pregnancy, BMI z-score, VDBP, adiponectin, RBP4, CRP, 58 leptin 59 60 61 62 63 64 65 66 67 68 69 4 70 INTRODUCTION 71 Emerging epidemiological evidence has shown that the risk for non-communicable 72 diseases (NCDs) during childhood or as an adult is mediated in part by maternal nutrition in 73 pregnancy and fetal growth [1-3]. Studies in animal models indicate that alterations in 74 nutritional, metabolic, immune and hormonal milieu in-utero profoundly affect long-term 75 health of the offspring, including increased risk for NCDs such as diab...

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Section: Discussionsupporting

confidence: 87%

Maternal biomarker patterns for metabolism and inflammation in pregnancy are influenced by multiple micronutrient supplementation and associated with childrens’s biomarker patterns and nutritional status at 9-12 years of age in Lombok, Indonesia

Priliani

Oktavianthi

Prado

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Previous studies showed that maternal leptin concentration was correlated with child leptin concentration in cord blood [23,51] and serum of 9-years old children [52]. Postpartum maternal biomarkers may be associated with child biomarkers through breast milk, in agreement with a previous study that reported a correlation between leptin concentration in breast milk with its concentration in maternal serum and infant weight gain [53].…”

Section: Plos Onesupporting

confidence: 89%

Maternal biomarker patterns for metabolism and inflammation in pregnancy are influenced by multiple micronutrient supplementation and associated with child biomarker patterns and nutritional status at 9-12 years of age

et al. 2020

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Maternal nutritional status influences fetal development and long-term risk for adult noncommunicable diseases. However, the underlying mechanisms remain poorly understood. We examined whether biomarkers for metabolism and inflammation during pregnancy were associated with maternal health and with child biomarkers and health at 9-12 years of age in 44 maternal-child dyads from the Supplementation with Multiple Micronutrients Intervention Trial (SUMMIT, ISRCTN34151616) in Lombok, Indonesia. Archived blood for each dyad from maternal enrollment, later in pregnancy, postpartum, and from children at 9-12 years comprised 132 specimens. Multiplex microbead immunoassays were used to quantify vitamin D-binding protein (D), adiponectin (A), retinol-binding protein 4 (R), C-reactive protein (C), and leptin (L). Principal component analysis (PCA) revealed distinct variance patterns, i.e. principal components (PC), for baseline pregnancy, bp.pc1.D#A#R# and bp.pc2. C#L"; combined follow-up during pregnancy and postpartum, dp-pp.pc1.D"#A"R"#L# and dp-pp.pc2.A"C"L"; and children, ch.pc1.D"R"C" and ch.pc2.D#A"L". Maternal multiple micronutrient (MMN) supplementation led to an association of baseline maternal bp.pc2. C#L" with decreased post-supplementation maternal dp-pp.pc2.A"C"L" (p = 0.022), which was in turn associated with both increased child ch.pc1.D"R"C" (p = 0.036) and decreased child BMI z-score (BMIZ) (p = 0.022). Further analyses revealed an association between maternal dp-pp.pc1.D"#A"R"#L# and increased child BMIZ (p = 0.036). Child ch.pc1. D"R"C" was associated with decreased birth weight (p = 0.036) and increased child BMIZ (p = 0.002). Child ch.pc2.D#A"L" was associated with increased child BMIZ (p = 0.005), decreased maternal height (p = 0.030) and girls (p = 0.002). A pattern of elevated maternal adiponectin and leptin in pregnancy was associated with increased C-reactive protein,

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“…Plasma adipokines were measured using enzyme-linked immunoassay (ELISA) RayBiotech Human Adiponectin and Human Leptin kits (RayBiotech Inc., Norcross, GA, USA). The protocol developed by the manufacturer was used, with some previously described modifications (37) to increase precision for assessment in children: (i) the standard curve for adiponectin was narrowed in order to obtain better resolution at smaller readings, (ii) the standard curve for leptin was broadened, and (iii) plasma samples in the leptin analysis were more diluted. Final dilutions for the RayBio Human Leptin ELISA and the Human Acrp30 ELISA were 1:70 and 1:30,000, respectively.…”

Section: Methodsmentioning

confidence: 99%

Early-Life Home Environment and Obesity in a Mexican American Birth Cohort: The CHAMACOS Study

et al. 2019

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Objective: Little is known about the impact of the home environment on biomarkers of obesity, such as adipokines, in children. In this study, we examined the relationship of maternal depressive symptoms and potentially protective social factors, including maternal support and the home learning environment, with BMI and adipokines. Methods: Data were obtained from 326 Mexican-American participants from the CHAMACOS cohort. Plasma adipokine levels were assessed in 326 children by enzyme-linked immunoassay at birth or ages 5, 9, or 14. Maternal depressive symptoms were evaluated using the Center for Epidemiological Studies Depression Scale when children were 1, 3.5, 7, and 9 years old; social support was assessed by the Duke-UNC Questionnaire at ages 1 and 5; and home learning environment by the Home Observation for the Measurement of the Environment (H.O.M.E.) at 6 months and 1, 2, 3.5, 7, 9, and 10.5 years of age. Results: Age was significantly associated with adiponectin (B=−5.0, standard error=0.2) and leptin (B=0.01, standard error=0.003) levels. Individual time point analyses identified significant positive associations of H.O.M.E. scores in childhood with adiponectin at ages 9 (H.O.M.E. score; age 3.5: B=0.9, p=0.04) and 14 (H.O.M.E. score; age 7: B=0.6, p=0.02, age 9: B=0.6, p=0.05, age 10.5: B=0.5, p=0.04). We observed significant relationships of maternal depressive symptoms at age 9 with adiponectin and BMI z-score at age 14 (B=−0.2, p=0.003 and B=0.02, p=0.002, resp.), which were confirmed in longitudinal models. Conclusions: This study adds new evidence that adverse and protective aspects of the home environment could lead to altered obesity status in children.

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Associations between perinatal factors and adiponectin and leptin in 9‐year‐old Mexican–American children

Cited by 15 publications

References 48 publications

Maternal biomarker patterns for metabolism and inflammation in pregnancy are influenced by multiple micronutrient supplementation and associated with childrens’s biomarker patterns and nutritional status at 9-12 years of age in Lombok, Indonesia

Maternal biomarker patterns for metabolism and inflammation in pregnancy are influenced by multiple micronutrient supplementation and associated with childrens’s biomarker patterns and nutritional status at 9-12 years of age in Lombok, Indonesia

Maternal biomarker patterns for metabolism and inflammation in pregnancy are influenced by multiple micronutrient supplementation and associated with child biomarker patterns and nutritional status at 9-12 years of age

Early-Life Home Environment and Obesity in a Mexican American Birth Cohort: The CHAMACOS Study

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