Related Experiment Videos

Quantitative analysis of T and B cell subsets in healthy and sick premature infants

I M Sériès1, J Pichette, C Carrier

  • 1Centre de recherche en Inflammation, Immunologie et Rheumatologie, C.H.U.L., Sainte-Foy, Qc, Canada.

Insights

Premature infants (PI) show higher T cell numbers, correlating with gestational age. Perinatal distress transiently decreases T cells, but immune markers do not predict infection in these infants.

Area of Science:

  • Immunology
  • Neonatology
  • Pediatrics

Background:

  • Immune system development in premature infants is crucial.
  • Perinatal distress can impact neonatal immune responses.
  • Understanding T and B cell subset dynamics is key for assessing infant immunity.

Purpose of the Study:

  • To quantitatively analyze B and T cell subsets in premature infants (PI) up to six months of age.
  • To compare immune parameters between healthy PI, PI with perinatal distress, and term infants.
  • To investigate the correlation between immune cell subsets, gestational age, and perinatal distress.

Main Methods:

  • Serial quantitative analysis of B and T cell subsets (CD2, CD4, CD20, CD21 positive cells).
  • Comparison of 104 PI (36 healthy, 68 with distress) against 21 term infants.
  • Analysis of immune parameters in relation to gestational age and perinatal distress events (respiratory distress, asphyxia).

Main Results:

  • Healthy PI exhibited higher absolute numbers of T cells (CD2+) and helper T cells (CD4+) compared to term infants, correlating with gestational age.
  • Perinatal distress led to a transient decrease in CD2+ and CD4+ cells, especially in infants <28 weeks gestation.
  • B cell numbers were not significantly different, and no tested immune parameters predicted infection in PI.

Conclusions:

  • Gestational age influences T cell subset numbers in healthy premature infants.
  • Perinatal distress temporarily affects T cell populations in very premature infants.
  • Immune surveillance markers in early infancy do not reliably predict subsequent infections.

Related Concept Videos