Integration of miRNA profiles and clinical data for early risk assessment of bronchopulmonary dysplasia in VLBW and ELBW newborn infants: a discovery study - Summary - MDSpire
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Integration of miRNA profiles and clinical data for early risk assessment of bronchopulmonary dysplasia in VLBW and ELBW newborn infants: a discovery study
To develop and internally validate an exploratory diagnostic model for early assessment of BPD risk in VLBW and ELBW infants by integrating clinical data with miRNA profiles.
Approach:
Study Design: A prospective cohort study was conducted on preterm infants with birth weights below 1,500 g.
Sample Collection: Peripheral blood samples were collected at 10–14 days of life and analyzed using GeneChip™ miRNA 4.1.
Data Analysis: Differential expression was determined using limma, followed by Spearman's correlation analysis and LASSO regression for predictive modeling.
Key Findings:
Five miRNAs were identified with significantly higher levels in BPD infants: hsa-let-7b-5p, hsa-miR-27a-3p, hsa-let-7c-5p, hsa-miR-182-5p (adjusted p < 0.05).
No significant associations were found between the candidate miRNAs and systemic inflammatory parameters.
The final predictive model achieved an adjusted LOOCV-AUC of 0.940, outperforming the clinical data-only model (AUC 0.719).
Interpretation:
The combined model based on miRNA and clinical data demonstrated potential for early BPD risk assessment.
Limitations:
The study involved a small cohort, necessitating external validation.
Confirmation by RT-qPCR is required before clinical implementation.
Conclusion:
A combined model integrating miRNA and clinical data shows promise for early BPD risk assessment.
