Blood Acylated Ghrelin Concentrations in Healthy Term Newborns: A Prospective Cohort Study

Neha Parveen1, Ayesha Ahmad1, Syed Manazir Ali1

  • 1Department of Pediatrics, JN Medical College and Hospital, Faculty of Medicine, Aligarh Muslim University, Uttar Pradesh, Aligarh 202001, India.

Insights

Cord acylated ghrelin levels are higher in small for gestational age (SGA) neonates and inversely correlate with birth weight, suggesting a role in intrauterine nutrition but not postnatal growth.

Area of Science:

  • Neonatal physiology
  • Endocrinology
  • Growth and Development

Background:

  • Ghrelin, a growth hormone secretagogue, has an unclear role in neonatal growth.
  • Previous studies on ghrelin's effect on neonate growth are inconclusive.
  • Understanding ghrelin's impact on infant growth is crucial for identifying potential interventions.

Purpose of the Study:

  • To investigate the relationship between acylated ghrelin (AG) concentrations and anthropometric measurements in healthy term infants.
  • To assess AG levels at birth and three months of age in relation to growth parameters.
  • To determine if AG serves as a marker for intrauterine nutrition and postnatal growth.

Main Methods:

  • Prospective observational study in a tertiary care hospital.
  • Inclusion of 84 healthy term infants (SGA and AGA).
  • Measurement of acylated ghrelin (AG) in cord blood at birth and venous blood at 3 months, correlated with growth parameters.

Main Results:

  • Significantly higher AG concentrations in SGA neonates compared to AGA neonates at birth.
  • Negative correlation between AG levels and birth weight, length, and head circumference in SGA infants.
  • No correlation found between AG concentrations and anthropometric changes at three months in either group.

Conclusions:

  • Cord blood AG concentrations are elevated in SGA neonates and inversely related to birth weight.
  • AG may serve as a surrogate marker for intrauterine nutrition.
  • AG does not appear to directly influence early postnatal growth based on anthropometric parameters.
Abstract