Evidence map›Paper›PMID 38916739›Full record

ArticleEuropean journal of pediatrics2024

Searching molecular biomarkers correlating with BSID-III at 24 months in infants with neonatal hypoxic-ischemic encephalopathy.

Mari Merce Cascant-Vilaplana, Jose David Piñeiro-Ramos, Álvaro Soláz-García, Inmaculada Lara-Cantón, Isabel Izquierdo, Roberto Llorens, Purificación Marin, Ester Torres-Martínez, Corentin Molitor, Fady Mohareb and 5 more

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Article in European journal of pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Review
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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

15 authors.

Mari Merce Cascant-Vilaplana *Neonatal Research Group, Health Research Institute La Fe, Valencia, Spain.
Jose David Piñeiro-Ramos *Neonatal Research Group, Health Research Institute La Fe, Valencia, Spain.
Álvaro Soláz-GarcíaNeonatal Research Group, Health Research Institute La Fe, Valencia, Spain.
Inmaculada Lara-CantónNeonatal Research Group, Health Research Institute La Fe, Valencia, Spain.
Isabel IzquierdoDivision of Neonatology, University & Polytechnic Hospital La Fe, Valencia, Spain.
Roberto LlorensDivision of Radiology and Imaging, University & Polytechnic Hospital La Fe, Valencia, Spain.
Purificación MarinDivision of Neonatology, University & Polytechnic Hospital La Fe, Valencia, Spain.
Ester Torres-MartínezDivision of Neonatology, University & Polytechnic Hospital La Fe, Valencia, Spain.
Corentin MolitorThe Bioinformatics Group, School of Water, Energy and Environment, Cranfield University, Bedford, UK.
Fady MoharebThe Bioinformatics Group, School of Water, Energy and Environment, Cranfield University, Bedford, UK.
Nuria BoronatNeonatal Research Group, Health Research Institute La Fe, Valencia, Spain.
Guillermo QuintásHealth and Biomedicine, Leitat Technological Center, Valencia, Spain.
Julia KuligowskiNeonatal Research Group, Health Research Institute La Fe, Valencia, Spain. julia.kuligowski@uv.es.
Máximo VentoNeonatal Research Group, Health Research Institute La Fe, Valencia, Spain.
HYPOTOP study group

Funding

Instituto de Salud Carlos III CM20/00187Instituto de Salud Carlos III CPII21/00003Instituto de Salud Carlos III EC11-046Instituto de Salud Carlos III RD21/0012/0015
6 · The paper itself

Abstract

An early prediction of outcomes of neonatal hypoxic-ischemic encephalopathy (NE) is of key importance in reducing neonatal mortality and morbidity. The objectives were (i) to analyze the characteristics of miRNA expression and metabolic patterns of neonates with NE and (ii) to assess their predictive performance for neurodevelopmental outcomes. Plasma samples from moderate/severe NE patients (N = 92) of the HYPOTOP study were collected before, during, and after therapeutic hypothermia (TH) and compared to a control group (healthy term infants). The expression of miRNAs and concentrations of metabolites (hypoxia-related and energy, steroid, and tryptophan metabolisms) were analyzed. Neurodevelopmental outcomes were evaluated at 24 months postnatal age using Bayley Scales of Infant Development, ed. III, BSID-III. Differences in miRNA and metabolic profiles were found between NE vs. control infants, abnormal (i.e., mildly and moderately abnormal and severe) vs. normal, and severe vs. non-severe (i.e., normal and mildly and moderately abnormal) BSID-III. 4-Androstene-3,17-dione, testosterone, betaine, xanthine, and lactate were suitable for BSID-III outcome prediction (receiver operating characteristic areas under the curve (AUCs) ≥ 0.6), as well as 68 miRNAs (AUCs of 0.5-0.9). Significant partial correlations of xanthine and betaine levels and the expression of several miRNAs with BSID-III sub-scales were found. Conclusion: We have identified metabolites/miRNAs that might be useful to support the prediction of middle-term neurodevelopmental outcomes of NE. What is known and what is new: • The early prediction of outcomes of neonatal hypoxic-ischemic encephalopathy (NE) is of key importance in reducing neonatal mortality and morbidity. • Alterations of the metabolome and miRNAs had been observed in NE. • We performed miRNA sequencing and quantified selected metabolites (i.e., lactate, pyruvate, ketone bodies, Krebs cycle intermediates, tryptophan pathway, hypoxia-related metabolites, and steroids) by GC- and LC-MS. • Specific miRNAs and metabolites that allow prediction of middle-term neurodevelopmental outcomes of newborns with NE undergoing hypothermia treatment were identified.

Indexed as

BiomarkersHypoxia-Ischemia, BrainMicroRNAsCase-Control StudiesChild, PreschoolFemaleHumansHypothermia, InducedInfantInfant, NewbornMaleBiomarkersMicroRNAsBrain injuryMetabolomicsMicroRNAsNeurodevelopmental outcomesNewborn

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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.