Identification and clinical validation of F3 as a peripheral blood biomarker for neonatal hypoxic-ischemic encephalopathy using dataset-specific bioinformatics analysis.
Overview
- Department of Neonatal Intensive Care Unit, Affiliated Hospital of Putian University, Putian, China
- Department of Pediatrics, First People’s Hospital of Wuhu, Wuhu, China
Abstract
Background: Neonatal hypoxic-ischemic encephalopathy (HIE) is a major cause of neonatal death and long-term neurological disability. Early recognition of high-risk neonates remains difficult because clinical examination, imaging, electrophysiology, and biochemical tests may be limited by timing, access, or early sensitivity. We aimed to identify and clinically validate a peripheral blood biomarker candidate for HIE.
Methods: Public transcriptomic datasets related to neonatal HIE or experimental hypoxic-ischemic injury were analyzed as separate biological resources. The human whole-blood dataset served as the primary discovery dataset. Experimental rat cortex datasets were analyzed separately and used only as supportive context after ortholog mapping. Candidate prioritization considered nominal human blood evidence, directionally concordant supportive transcriptomic signals, HIE-related disease-gene annotation, and validation in human peripheral blood mononuclear cells (PBMCs). F3 mRNA was measured by qRT-PCR, and full-length tissue factor (flTF) protein was assessed by immunofluorescence and Western blotting in an independent cohort of neonates with HIE (n = 40) and non-HIE controls (n = 30).
Results: With an exploratory nominal screening threshold, dataset-specific analysis identified F3 as a candidate gene with nominal upregulation in the human whole-blood dataset (log2FC = 6.27, nominal P = 0.041, adjusted P = 0.524). Independent experimental hypoxic-ischemic injury datasets showed directionally concordant supportive signals. In the clinical cohort, PBMC F3 mRNA was higher in neonates with HIE than in non-HIE controls (4.2 ± 0.2 vs. 1.0 ± 0.1, P < 0.0001), with increased flTF protein expression. ROC analysis showed good discrimination in this cohort (AUC, 0.844; 95% CI, 0.735–0.953).
Conclusion: F3/
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
Datasets cited
- geo:GSE121178, at NCBI GEO; found in the text, “Functional enrichment analysis”
Data availability statement
The original contributions presented in the study are included in the article/
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 2, 28 September 2026
- Funding: added Putian Science and Technology Bureau
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 6 authors, 7 keywords, 22 references.
Cite
This paper
Pan, S., Peng, Y., Hu, J., Cai, Y., Zhang, Y., & Zheng, B. (2026). Identification and clinical validation of F3 as a peripheral blood biomarker for neonatal hypoxic-ischemic encephalopathy using dataset-specific bioinformatics analysis. Frontiers in pediatrics, 14, 1891438. https://
BibTeX
@article{pan2026identifi
author = {Pan, Suxiang and Peng, Yanan and Hu, Jianqing and Cai, Yanping and Zhang, Yibing and Zheng, Bijuan},
title = {{Identification and clinical validation of F3 as a peripheral blood biomarker for neonatal hypoxic-ischemic encephalopathy using dataset-specific bioinformatics analysis}},
journal = {Frontiers in pediatrics},
year = {2026},
month = aug,
volume = {14},
pages = {1891438},
publisher = {Frontiers Media SA},
issn = {2296-2360},
doi = {10.3389/
url = {https://
pmid = {42712547},
pmcid = {PMC13550223}
}
RIS
TY - JOUR
AU - Pan, Suxiang
AU - Peng, Yanan
AU - Hu, Jianqing
AU - Cai, Yanping
AU - Zhang, Yibing
AU - Zheng, Bijuan
TI - Identification and clinical validation of F3 as a peripheral blood biomarker for neonatal hypoxic-ischemic encephalopathy using dataset-specific bioinformatics analysis
T2 - Frontiers in pediatrics
J2 - Front Pediatr
PY - 2026
DA - 2026/
VL - 14
SP - 1891438
SN - 2296-2360
PB - Frontiers Media SA
DO - 10.3389/
UR - https://
LA - en
ER -
CSL-JSON
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