Communications Medicine (Aug 2023)

The development of blood protein profiles in extremely preterm infants follows a stereotypic evolution pattern

  • Wen Zhong,
  • Hanna Danielsson,
  • Nele Brusselaers,
  • Dirk Wackernagel,
  • Ulrika Sjöbom,
  • Karin Sävman,
  • Ingrid Hansen Pupp,
  • David Ley,
  • Anders K. Nilsson,
  • Linn Fagerberg,
  • Mathias Uhlén,
  • Ann Hellström

DOI
https://doi.org/10.1038/s43856-023-00338-1
Journal volume & issue
Vol. 3, no. 1
pp. 1 – 13

Abstract

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Abstract Background Preterm birth is the leading cause of neonatal mortality and morbidity. Early diagnosis and interventions are critical to improving the clinical outcomes of extremely premature infants. Blood protein profiling during the first months of life in preterm infants can shed light on the role of early extrauterine development and provide an increased understanding of maturation after extremely preterm birth and the underlying mechanisms of prematurity-related disorders. Methods We have investigated the blood protein profiles during the first months of life in preterm infants on the role of early extrauterine development. The blood protein levels were analyzed using next generation blood profiling on 1335 serum samples, collected longitudinally at nine time points from birth to full-term from 182 extremely preterm infants. Results The protein analysis reveals evident predestined serum evolution patterns common for all included infants. The majority of the variations in blood protein expression are associated with the postnatal age of the preterm infants rather than any other factors. There is a uniform protein pattern on postnatal day 1 and after 30 weeks postmenstrual age (PMA), independent of gestational age (GA). However, during the first month of life, GA had a significant impact on protein variability. Conclusions The unified pattern of protein development for all included infants suggests an age-dependent stereotypic development of blood proteins after birth. This knowledge should be considered in neonatal settings and might alter the clinical approach within neonatology, where PMA is today the most dominant age variable.