Are cord blood visfatin concentrations different depending on birth weight category?

Cynthia María Estrada-Zúñiga1, Manuel Enrique de la O-Cavazos1, Leonardo Mancillas-Adame2

  • 1Department of Pediatrics, University Hospital "Dr. José Eleuterio González" Universidad Autónoma de Nuevo León, Monterrey, Mexico.

Insights

Cord blood visfatin levels did not differ between newborns of varying birth weights. However, gestational weight gain was found to be an independent predictor of visfatin concentrations in umbilical cord blood.

Area of Science:

  • Endocrinology
  • Perinatal Medicine
  • Metabolic Health

Background:

  • Visceral adipose tissue is linked to metabolic disorders.
  • Visfatin, a visceral fat adipocytokine, may play a role in metabolic health.
  • Suboptimal gestational environments are associated with adult metabolic disease risk.

Purpose of the Study:

  • To investigate visfatin concentrations in umbilical cord blood.
  • To compare visfatin levels in newborns categorized as small, appropriate, or large for gestational age.
  • To explore the relationship between birth weight categories and cord blood visfatin.

Main Methods:

  • Study included term newborns from a university medical center.
  • Umbilical cord blood samples were collected immediately after birth.
  • Visfatin was quantified using enzyme immunoassay in 35 SGA, 58 AGA, and 35 LGA infants.

Main Results:

  • No significant differences in cord blood visfatin concentrations were observed among SGA, AGA, and LGA groups.
  • Visfatin levels were 2.78, 3.28, and 3.46 ng/mL for SGA, AGA, and LGA newborns, respectively (p=0.141).
  • Gestational weight gain (GWG) showed a negative association with visfatin levels (r=-0.218, p=0.036) and was an independent predictor (r²=-0.067, p=0.027).

Conclusions:

  • Cord blood visfatin concentrations are not dependent on birth weight status (SGA, AGA, LGA).
  • Gestational weight gain independently predicts visfatin levels in term newborn cord blood.
  • These findings contribute to understanding fetal programming and metabolic health predictors.
Abstract

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