Effect of maternal sleep in late pregnancy on leptin and lipid levels in umbilical cord blood

Relation between socioeconomic status and maternal serum lipids to infant lipid concentrations and anthropometry in the first year of life

PURPOSE

The physical health and development of an individual are influenced by multiple parameters and shaped by internal and external factors during pregnancy. However, it is unclear whether there is an association between maternal lipid concentrations in the third trimester of pregnancy and infant serum lipids as well as anthropometric growth, and whether these factors are influenced by the socioeconomic status (SES) of the mothers.

METHODS

Between 2011 and 2021, 982 mother-child pairs were recruited in the LIFE-Child study. To investigate the influence of prenatal factors, pregnant women at the 24th and 36th week of gestation as well as children at the age of 3, 6 and 12 months were examined and serum lipids determined. Socioeconomic status (SES) was assessed using the validated Winkler Index.

RESULTS

A higher maternal BMI was associated with a significantly lower Winkler score and a higher infant weight, height, head circumference and BMI from birth up to the 4th-5th week of life. In addition, the Winkler Index correlates with maternal HDL cholesterol and ApoA1 levels. There was no relation between the delivery mode and the maternal BMI or SES. For the maternal HDL cholesterol concentration in the third trimester, an inverse relation to children's height, weight, head circumference and BMI up to the first year of life as well as the chest and abdominal circumference to an age of 3 months was found. Children born to mothers with dyslipidemia in pregnancy tended to have a worse lipid profile than those born to normolipidemic mothers.

CONCLUSION

Serum lipid concentrations and anthropometric parameters of children in the first year of life are affected by multiple factors like maternal BMI, lipid levels and SES.

Prediction of cord blood leptin on infant's neurodevelopment: A birth cohort in rural Yunnan, China

BACKGROUND

Leptin, one of the peptide hormones secreted by adipocytes, plays a vital part in metabolism, but its role in early-life neurodevelopment remains poorly understood.

METHODS

We performed leptin analysis on 323 cord blood samples collected from a birth cohort in Yunnan rural area, China, and assessed infants' neurodevelopment at one year of age by the Bayley Scales of Infant and Toddler Development-Third Edition (BSID-III). Multiple linear regression and binary logistic regression models were used to explore the associations between cord blood leptin (CBL) concentrations and infants' neurodevelopment and the ability of CBL to predict the probabilities of infants' neurodevelopment delay.

RESULTS

Overall, 323 infants were included in this study. The median concentration of CBL was 4.7 ng/ml. The proportion of 1-year-old infants identified as being neurodevelopmental delayed was 34.5%, and delays in cognitive, language, and motor domains were 11.1%, 26.6%, and 13.9%, respectively. Multiple linear regression analyses manifested that the CBL concentration (log10-transformed) was positively correlated with the cognitive, language, and motor composite scores in infants, respectively (β = 7.76, 95%CI: 3.81-11.71; β = 6.73, 95%CI: 3.41-10.06; and β = 6.88, 95%CI: 3.48-10.29, respectively). Binary logistic regression analysis showed that compared with the higher, lower CBL (< 4.7 ng/ml) yielded a 1.41-fold increase in the risk of language development delay (OR = 2.41，95%CI: 1.42-4.09), a 1.49-fold higher risk of motor development delay (OR = 2.49, 95%CI: 1.25-4.96), and a 1.71-fold higher risk of neurodevelopment delay (OR = 2.71, 95%CI: 1.64-4.48) among infants. The prediction models showed that the probabilities of development delay in infants' language, motor, and neurodevelopment increased with the decline of CBL concentrations [r_s = -0.63 (95% CI: -0.71, -0.56), r_s = -0.46 (95% CI: -0.55, -0.38), r_s = -0.55 (95% CI: -0.63, -0.46), respectively].

CONCLUSION

The decline of CBL was associated with the decrease in infants' neurodevelopment scores at one year of age. CBL below 4.7 ng/ml may increase the risk of infants' neurodevelopment delay. The probabilities of infants' neurodevelopment delay increased with the decrease of CBL concentrations. CBL may be a predictor of the probability of children's neurodevelopment delay.

Effect of sleep disturbance on biomarkers related to the development of adverse health outcomes: A systematic review of the human literature

Literature suggests that unrestricted and undisturbed sleep is vital for basic human function and performance; however, it is unclear as to what amount of sleep disturbance leads to dysregulation in biomarkers, which may underscore the development of adverse health effects. This systematic review aims to identify the amount of sleep disturbance that contributes to biomarker changes as a potential precursor to the development of adverse health effects. English-language comparative studies available in PubMed, Cochrane Central, EMBASE, and CINAHL databases from 1 January 1980 to 31 July 2021 were searched. Where possible, random-effects meta-analyses were used to examine the effect of sleep disturbances on adverse health effects. The risk of bias of individual studies was assessed using the Cochrane Risk of Bias Tool and the Risk of Bias of Nonrandomised Studies - of Exposures instruments and the certainty of the body of evidence for each outcome was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. The search identified 92 primary studies reporting on blood pressure, hypertension, heart rate, cardiac arrhythmia, cardiac output, waist circumference, cortisol, adrenaline, noradrenaline, immune system markers, glucose, insulin, cholesterol, and triglyceride levels. Although some meta-analyses suggested there may be an association between sleep disturbances and certain outcomes, the certainty in the evidence was very low due to concerns with risk of bias, inconsistency across exposures, populations, and imprecision in the estimates of effects. Further research is needed to explore the point at which types, levels and duration of sleep disturbances may begin to increase the risk of developing adverse health outcomes to inform and tailor health interventions.