Evidence map›Paper›PMID 39529072›Full record

ArticleBMC pediatrics2024

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

Veronika Golubinskaya, Holger Nilsson, Halfdan Rydbeck, William Hellström, Gunnel Hellgren, Ann Hellström, Karin Sävman, Carina Mallard

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In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

  1. Trial
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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

8 authors.

Veronika GolubinskayaDepartment of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska Academy, 432 40530, Gothenburg, Sweden. veronika.golubinskaya@gu.se.
Holger NilssonDepartment of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska Academy, 432 40530, Gothenburg, Sweden.
Halfdan RydbeckDepartment of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska Academy, 432 40530, Gothenburg, Sweden.
William HellströmDepartment of Pediatrics, Institute of Clinical Sciences, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden.
Gunnel HellgrenInstitute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Ann HellströmDepartment of Clinical Neuroscience, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden.
Karin SävmanDepartment of Pediatrics, Institute of Clinical Sciences, University of Gothenburg, Sahlgrenska Academy, Gothenburg, Sweden.
Carina MallardDepartment of Physiology, Institute of Neuroscience and Physiology, University of Gothenburg, Sahlgrenska Academy, 432 40530, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytokines and growth factors (GF) have been implicated in the development of retinopathy of prematurity (ROP) and bronchopulmonary dysplasia (BPD). We hypothesize that even small coordinated changes in inflammatory proteins or GFs may reveal changes in underlying regulating mechanisms that do not induce obvious changes in concentration of individual proteins. We therefore applied correlation network analysis of serum factors to determine early characteristics of these conditions.

methodsConcentrations of 17 cytokines and five GFs were measured and analysed in blood samples from cord blood, on day one and during the following month in 72 extremely preterm infants. Spearman's correlation networks distinguishing BPD and severe ROP patients from non-affected were created.

resultsMost cytokine concentrations correlated positively with each other and negatively with GFs. Very few individual cytokines differed between patients with and without ROP or BPD. However, networks of differently correlated serum factors were characteristic of the diseases and changed with time. In ROP networks, EPO, G-CSF and IL-8 (cord blood), BDNF and VEGF-A (first month) were prominent. In BPD networks, IL-1β, IGF-1 and IL-17 (day one) were noted.

conclusionsNetwork analysis identifies protein signatures related to ROP or BPD in extremely preterm infants. The identified interactions between serum factors are not evident from the analysis of their individual levels, but may reveal underlying pathophysiological mechanisms in the development of these diseases.

Indexed as

Bronchopulmonary DysplasiaCytokinesFetal BloodInfant, Extremely PrematureIntercellular Signaling Peptides and ProteinsRetinopathy of PrematurityBiomarkersFemaleHumansInfant, NewbornInsulin-Like Growth Factor IMaleVascular Endothelial Growth Factor ABiomarkersCytokinesInsulin-Like Growth Factor IIntercellular Signaling Peptides and ProteinsVascular Endothelial Growth Factor ABronchopulmonary dysplasiaCorrelation network analysisCytokine interactionsExtremely preterm infantsRetinopathy of prematurity

Identifiers

PMID39529072
PMCPMC11555815

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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.