Cytokine and growth factor correlation networks associated with morbidities in extremely preterm infants

Veronika Golubinskaya1, Holger Nilsson2, Halfdan Rydbeck2,3

  • 1Department of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska Academy, 432 40530, Gothenburg, Sweden. veronika.golubinskaya@gu.se.

BMC Pediatrics
|November 11, 2024
PubMed

Insights

Correlation network analysis reveals distinct protein signatures for retinopathy of prematurity (ROP) and bronchopulmonary dysplasia (BPD) in preterm infants, identifying early disease characteristics not apparent from individual protein levels.

Area of Science:

  • Neonatal Medicine
  • Biochemistry
  • Systems Biology

Background:

  • Cytokines and growth factors (GF) are implicated in retinopathy of prematurity (ROP) and bronchopulmonary dysplasia (BPD).
  • Subtle, coordinated changes in inflammatory proteins or GFs may indicate altered regulatory mechanisms.
  • Correlation network analysis was employed to detect early disease characteristics.

Purpose of the Study:

  • To determine early characteristics of ROP and BPD using correlation network analysis of serum factors.
  • To identify protein signatures indicative of ROP and BPD development in extremely preterm infants.
  • To uncover underlying pathophysiological mechanisms through protein interactions.

Main Methods:

  • Measured concentrations of 17 cytokines and five GFs in blood samples from 72 extremely preterm infants.
  • Collected samples at cord blood, day one, and during the first month of life.
  • Constructed Spearman's correlation networks to differentiate between BPD/ROP patients and controls.

Main Results:

  • Few individual cytokine levels differed significantly between ROP/BPD patients and controls.
  • Distinct correlation networks of serum factors were characteristic of ROP and BPD and evolved over time.
  • Specific proteins like EPO, G-CSF, IL-8, BDNF, VEGF-A (for ROP) and IL-1β, IGF-1, IL-17 (for BPD) were prominent in disease-specific networks.

Conclusions:

  • Network analysis effectively identifies protein signatures associated with ROP and BPD in preterm infants.
  • Interactions between serum factors, not individual levels, reveal crucial pathophysiological insights.
  • This approach offers a novel method for understanding the early development of ROP and BPD.
Abstract

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