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Laser immunonephelometry reference intervals for eight serum proteins in healthy children

D J Malvy1, J D Povéda, M Debruyne

  • 1Unité de Recherches en Hépatologie pédiatrique, INSERM U056, Bicêtre, France.

Clinical Chemistry
|March 1, 1992
PubMed

Insights

This study analyzed eight serum proteins in healthy French children aged 3-16. Results show sex and age influence immunoglobulin M (IgM) and albumin levels, providing key reference intervals.

Area of Science:

  • Clinical Chemistry
  • Pediatric Medicine
  • Immunology

Background:

  • Serum protein levels can vary significantly with age and sex in pediatric populations.
  • Establishing reference intervals is crucial for accurate clinical interpretation of diagnostic tests.
  • Understanding normal variations aids in identifying potential health issues in children.

Purpose of the Study:

  • To determine reference intervals for eight key serum proteins in healthy French children.
  • To investigate the influence of age and sex on serum protein concentrations.
  • To provide a basis for interpreting C-reactive protein levels in a community setting.

Main Methods:

  • Serum samples from 479 healthy French children (ages 3-16) were analyzed.
  • The Behring nephelometer was used for quantitative analysis of eight specific serum proteins.
  • Statistical analysis was performed to identify variations based on age and sex.

Main Results:

  • Significant differences in immunoglobulin M (IgM) and albumin concentrations were observed between girls and boys.
  • Age was identified as a primary factor influencing the levels of most tested serum proteins.
  • Reference intervals were established for IgG, IgA, IgM, albumin, transthyretin, retinol-binding protein, alpha 1-acid glycoprotein, and C-reactive protein.

Conclusions:

  • Age and sex are critical determinants of serum protein levels in children.
  • The established reference intervals are valuable for pediatric diagnostics and health assessments.
  • The study highlights the importance of considering demographic factors in clinical interpretations, particularly for C-reactive protein.

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