Table 4.
NEC-relevant NET biomarkers and auxiliary assessment technologies.
| Marker/technology | Sample | What it may indicate | Strengths | Main limitations |
|---|---|---|---|---|
| cfDNA/nucleosomes | Serum/plasma | Cell death, chromatin release, possible NETs | Easy, dynamic | Nonspecific; hemolysis, necrosis, apoptosis, platelets |
| H3cit | Blood/tissue | PAD4-dependent histone citrullination | Mechanistically specific for one NET pathway | Misses PAD4-independent NETs; timing sensitive |
| MPO-DNA/NE-DNA complexes | Blood | Granule proteins complexed with extracellular DNA | Closer to NETs than cfDNA | Degranulation plus non-NET DNA; assay/platform variability |
| Tissue DNA-MPO/NE-H3cit co-localization | Surgical/biopsy tissue | Local NET structures and spatial relationship to injury | Strong spatial evidence | Usually late disease; sampling and interpretation bias |
| Fecal calprotectin | Stool | Intestinal neutrophil influx; partially NET-derived | Noninvasive, repeatable | Affected by gestational age, feeding, non-specific enterocolitis |
| Ultrasound/POCUS and emerging optical/AI tools | Bedside imaging | Wall thickness, blood flow, portal venous gas, fluid; tissue oxygenation | Repeatable, can precede radiographic necrosis | Operator/device dependence; requires validation and NET correlation |
| Multi-omics + machine learning | Blood/stool/imaging/clinical | Microbial, metabolic, immune, and tissue-injury trajectories | May reveal pre-symptomatic risk | Small cohorts, variable definitions, external validation limited |