Biomarker Research for Neonatal Respiratory Distress Syndrome, 2010-2025

A 36.5 KB Excel file summarizing research on biomarkers for neonatal respiratory distress syndrome (NRDS). The dataset, authored by MaoTing Xiong and last updated in May 2026, is based on a systematic review of PubMed, Web of Science, and Embase from January 2010 to December 2025. It compiles findings on inflammatory markers, microRNAs, protein biomarkers, and lung ultrasound scores.

Use Cases

• Compare the diagnostic performance of biomarkers like IL-6, IL-17, and ANGPTL4 based on the systematic review findings.
• Evaluate the potential of combining microRNAs (e.g., miR-375, miR-363) with lung ultrasound and blood gas parameters for NRDS assessment.
• Assess the application of lung ultrasound as a non-invasive bedside tool in NRDS diagnosis and monitoring.
• Review the current challenges and future directions for machine learning models in integrating multimodal biomarker data for NRDS.

Strengths

• Systematically reviews literature from three major databases (PubMed, Web of Science, Embase) over a 15-year period (2010-2025).
• Explicitly covers multiple biomarker categories: inflammatory markers, microRNAs, protein biomarkers, and clinical tools.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and sharing.

Limitations

• The dataset is small (36.5 KB), suggesting it is a summary table rather than a primary research dataset.
• Row count and column definitions are unknown, limiting assessment of its structure and granularity.
• The description notes that most emerging biomarker evidence is preliminary, lacks external validation, and faces assay standardization challenges.

Provenance

Source

figshare, authored by MaoTing Xiong.

Collection Method

Systematic literature review.

Time Range

Studies published from January 2010 to December 2025.

Freshness

Last updated 2026-05-18 05:41:04.