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Published on: December 9, 2022
Proteomic biomarkers for early diagnosis and prognosis in pediatric sepsis
Guldana Sabitova1, Zhalaliddin Makhammajanov1, Marina Khvan1
1Department of Medicine, School of Medicine, Nazarbayev University, Astana Z05K4F4, Kazakhstan.
Background:
Early diagnosis of pediatric sepsis is difficult because of the lack of specific clinical signs and limitations of standard biomarkers. Proteomics is a promising approach because it can identify disease-specific protein signatures.
Aim:
To systematically evaluate the current literature on the application of proteomics in pediatric sepsis, review and evaluate the current evidence on proteomic biomarkers for diagnosing and predicting pediatric sepsis.
Methods:
This is a systematic review with a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-informed, structured search and transparent study-selection reporting. A structured literature search was conducted in PubMed, Scopus, and Web of Science up to January 2025. Studies involving pediatric patients (ages 0-18) with sepsis that used proteomic platforms and reported diagnostic or prognostic outcomes were included.
Results:
Four studies met the inclusion criteria. Identified biomarkers included interleukin-27, signal transducer and activator of transcription 3, haptoglobin, serum amyloid A 1/2, soluble CD25, and leucine-rich alpha-2-glycoprotein 1. Sensitivities ranged from 60% to 86%, and specificities ranged from 75% to 92%. Multi-marker panels demonstrated superior diagnostic performance compared to single markers. Biomarkers were detectable within 2-6 hours of symptom onset. The analytical methods used varied and included enzyme-linked immunosorbent assays, liquid chromatography-tandem mass spectrometry, and SOMAscan. Most studies were exploratory and lacked external validation; they also used small, heterogeneous cohorts.
Conclusion:
Proteomics shows promise for earlier and more precise diagnostics of pediatric sepsis, but clinical translation is limited by small, single-center cohorts; age-dependent variability without developmental reference ranges; scarce longitudinal profiling; and minimal external validation. The priority now is multicenter, age-stratified, longitudinal studies with real-world comparators.
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