A meta-analysis of prognostic biomarkers in neonatal retinal hemorrhage

Neonatal retinal hemorrhage (RH) is a frequently occurring neonatal fundus condition and a very common ocular abnormality in neonates. Some of the key factors that influence the rate of RH are the mode of delivery, examination techniques, and time of examination after birth. The prognostic markers of severe RH are poorly known, making it difficult for an efficient diagnosis, prognosis, and treatment. Hence, to better understand the mechanism of disease, its study at the molecular level is required. Prognostic biomarkers are an essential tool for understanding the pathogenesis of the disease. In this paper, we present a meta-analysis of biomarkers to understand disease pathogenesis and support better diagnosis, prognosis, and treatment of neonatal RH.

The meta-analysis was carried out by following the recommendation of PRISMA. The relevant articles were crawled using a systematic keyword using MeSH terms from the MEDLINE, PubMed, and Scopus databases, which were subjected to manual screening for reported biomarkers by two independent reviewers. The obtained biomarkers were further analyzed for gene-disease association and functional enrichment analysis.

Our meta-analysis suggests that genes ABCC6, Beta-APP, COL2A1, COL4A1, DNM2, ENPP1, IKBKG, ITGB2, IL-6, SELE, TREX1, and VEGFA are potential prognostic biomarkers associated with the neonatal RH. The gene-disease association and functional enrichment analysis suggest that few genes are associated with disease class "Vision"; however, some genes in the list are associated with the disease class "Pharmacogenomic," "Immune," "Renal."

The identified prognostic gene biomarkers may help to understand disease pathogenesis and provide a better diagnosis, prognosis, and treatment of neonatal RH.