SEARCHCOHORTpediatrics, pediatric ophthalmology

cohort·pediatrics, pediatric ophthalmology, preclinical research, biomedical research, clinical trial·PMC10397184

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

Communications Medicine · 12 authors, 12 centres

AI SUMMARY

FIDELITY 100%

POPULATION182 extremely preterm infants

INTERVENTION

COMPARISON

This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.

AGENT 01 · STRUCTURED SUMMARY

TRACE TO SOURCE

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TL;DR

The central finding is that blood protein evolution follows a stereotypic, age-dependent pattern driven primarily by postnatal age rather than gestational age, sex, or mode of delivery.

Full summary

925 CHARS

The majority of variations in blood protein expression were associated with postnatal age rather than gestational age, sex, or delivery mode. A uniform protein pattern was observed on postnatal day 1 and after 30 weeks postmenstrual age, independent of gestational age at birth, though gestational age had a significant impact on protein variability during the first month. Eight protein clusters with distinct temporal trends were identified, including proteins involved in inflammation, hepatic function, and immune cell development. Cesarean-delivered infants showed elevated PSP-D levels compared to vaginally delivered infants. Limitations include that only over 500 unique proteins were measured, representing a fraction of the complete blood proteome, 96% of mothers received antenatal steroids precluding assessment of their impact, and no reference proteome data from full-term infants were available for comparison.

PICO

PPOPULATION

182 extremely preterm infants

OOUTCOME

Blood protein profiles measured longitudinally at nine time points from birth to full-term

STUDY TYPE

cohort

SPECIALTY

pediatrics

SUMMARISED BY

AI pipeline

FIDELITY CHECK

100% · A

ORIGINAL PAPER

PMC10397184

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

Communications Medicine

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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.

CITATION EXPORT

Wen Zhong, Hanna Danielsson, Nele Brusselaers et al.. The development of blood protein profiles in extremely preterm infants follows a stereotypic evolution pattern. Communications Medicine. (2023). https://doi.org/10.1038/s43856-023-00338-1

AUTHORS

12 · 12 CENTRES

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

1grid.5640.70000 0001 2162 9922Science for Life Laboratory, Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden
2grid.4714.60000 0004 1937 0626Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
3grid.4714.60000 0004 1937 0626Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
4grid.416648.90000 0000 8986 2221Sach’s Children’s and Youth Hospital, Södersjukhuset, Stockholm, Sweden
5grid.5284.b0000 0001 0790 3681Global Health Institute, Antwerp University, Antwerp, Belgium
6grid.24381.3c0000 0000 9241 5705Department of Neonatology, Karolinska University Hospital and Institute, Astrid Lindgrens Children’s Hospital, Stockholm, Sweden
7grid.8761.80000 0000 9919 9582Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
8grid.8761.80000 0000 9919 9582Learning and Leadership for Health Care Professionals At the Institute of Health and Care Science at Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
9grid.8761.80000 0000 9919 9582Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
10grid.415579.b0000 0004 0622 1824Region Västra Götaland, Dept of Neonatology, The Queen Silvia Children’s Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
11grid.411843.b0000 0004 0623 9987Department of Pediatrics, Institute of Clinical Sciences Lund, Lund University and Skane University Hospital, Lund, Sweden
12grid.5037.10000000121581746Science for Life Laboratory, Department of Protein Science, KTH—Royal Institute of Technology, Stockholm, Sweden