Evidence map›Paper›PMID 37532738›Full record

ArticleCommunications medicine2023

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 and 2 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 2 countries.

Wen Zhong *Science for Life Laboratory, Department of Biomedical and Clinical Sciences (BKV), Linköping University, Linköping, Sweden.ORCID http://orcid.org/0000-0002-7422-6104
Hanna Danielsson *Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6959-7704
Nele BrusselaersCentre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0137-447X
Dirk WackernagelDepartment of Neonatology, Karolinska University Hospital and Institute, Astrid Lindgrens Children's Hospital, Stockholm, Sweden.
Ulrika SjöbomDepartment of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Karin SävmanDepartment of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Ingrid Hansen PuppDepartment of Pediatrics, Institute of Clinical Sciences Lund, Lund University and Skane University Hospital, Lund, Sweden.
David LeyDepartment of Pediatrics, Institute of Clinical Sciences Lund, Lund University and Skane University Hospital, Lund, Sweden.
Anders K NilssonDepartment of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-3631-0783
Linn FagerbergScience for Life Laboratory, Department of Protein Science, KTH-Royal Institute of Technology, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0198-7137
Mathias UhlénDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4858-8056
Ann HellströmDepartment of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. ann.hellstrom@medfak.gu.se.ORCID http://orcid.org/0000-0002-9259-1244
University of Gothenburg · SELund University · SEScience for Life Laboratory · SEKarolinska Institutet · SEKarolinska University Hospital · SELinköping University · SESahlgrenska University Hospital · SEUniversity of Antwerp · BE

Funding

Knut och Alice Wallenbergs Stiftelse (Knut and Alice Wallenberg Foundation) Clinical ScholarsVetenskapsrådet (Swedish Research Council) #2016-01131Vetenskapsrådet (Swedish Research Council) #2022-01562
6 · The paper itself

Abstract

backgroundPreterm 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.

methodsWe 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.

resultsThe 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.

conclusionsThe 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.

Identifiers

PMID37532738
PMCPMC10397184
OpenAlexW4385493687

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.