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Updated: Jul 3, 2026

Mapping Infant Immunity with Minimal Input: Integrative Single-Cell and Multiomic Profiling
Published on: April 3, 2026
Identification of diagnostic biomarkers for infection in premature neonates
Stephen F Kingsmore1, Neil Kennedy, Henry L Halliday
1National Center for Genome Resources, Santa Fe, New Mexico, 87505, USA. sfk@ncgr.org
Insights
Rapid diagnosis of neonatal infection is crucial. Multiplexed immunoassays identified eight serum proteins indicating infection in premature infants, improving diagnostic accuracy for clinical instability.
Area of Science:
- Neonatal medicine
- Infectious disease diagnostics
- Biomarker discovery
Background:
- Neonatal infections cause significant morbidity and mortality globally.
- Premature infants face heightened infection risk due to physiological immaturity and medical interventions.
- Current diagnostic methods rely on clinical suspicion and slow microbiologic cultures, delaying treatment.
Purpose of the Study:
- To identify novel serum protein biomarkers for rapid, objective diagnosis of neonatal infection.
- To evaluate the utility of multiplexed immunoassays for detecting these biomarkers in neonates.
- To improve diagnostic specificity and sensitivity compared to existing methods.
Main Methods:
- Utilized multiplexed immunoassays on microarrays to measure over 100 cytokines in small neonatal serum volumes.
- Compared serum protein profiles of clinically infected and non-infected neonates.
- Developed multivariate classifiers using combinations of identified serum analytes.
Main Results:
- Identified eight serum proteins with significantly altered levels in infected neonates, including P- and E-selectins, IL-2 soluble receptor alpha, IL-18, neutrophil elastase, uPA, uPAR, and CRP.
- These proteins are associated with inflammation, coagulation, and fibrinolysis pathways.
- Multivariate classifiers demonstrated superior diagnostic specificity and sensitivity over single analytes.
Conclusions:
- Multiplexed immunoassay panels show promise for the rapid diagnosis of neonatal infection.
- Biomarker combinations can aid in differentiating infected neonates, especially those with clinical decompensation.
- This approach may serve as an adjunct to current diagnostic strategies, enabling faster and more accurate treatment decisions.
Abstract:
Infection is a leading cause of neonatal morbidity and mortality worldwide. Premature neonates are particularly susceptible to infection because of physiologic immaturity, comorbidity, and extraneous medical interventions. Additionally premature infants are at higher risk of progression to sepsis or severe sepsis, adverse outcomes, and antimicrobial toxicity. Currently initial diagnosis is based upon clinical suspicion accompanied by nonspecific clinical signs and is confirmed upon positive microbiologic culture results several days after institution of empiric therapy. There exists a significant need for rapid, objective, in vitro tests for diagnosis of infection in neonates who are experiencing clinical instability. We used immunoassays multiplexed on microarrays to identify differentially expressed serum proteins in clinically infected and non-infected neonates. Immunoassay arrays were effective for measurement of more than 100 cytokines in small volumes of serum available from neonates. Our analyses revealed significant alterations in levels of eight serum proteins in infected neonates that are associated with inflammation, coagulation, and fibrinolysis. Specifically P- and E-selectins, interleukin 2 soluble receptor alpha, interleukin 18, neutrophil elastase, urokinase plasminogen activator and its cognate receptor, and C-reactive protein were observed at statistically significant increased levels. Multivariate classifiers based on combinations of serum analytes exhibited better diagnostic specificity and sensitivity than single analytes. Multiplexed immunoassays of serum cytokines may have clinical utility as an adjunct for rapid diagnosis of infection and differentiation of etiologic agent in neonates with clinical decompensation.
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