title: Identification of diagnostic biomarkers for infection in premature neonates.
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.
authors.affiliation: National Center for Genome Resources, Santa Fe, New Mexico, 87505, USA. sfk@ncgr.org
authors.forename: Stephen F
authors.initials: SF
authors.lastname: Kingsmore
authors.forename: Neil
authors.initials: N
authors.lastname: Kennedy
authors.forename: Henry L
authors.initials: HL
authors.lastname: Halliday
authors.forename: Jennifer C
authors.initials: JC
authors.lastname: Van Velkinburgh
authors.forename: Shengiang
authors.initials: S
authors.lastname: Zhong
authors.forename: Vanessa
authors.initials: V
authors.lastname: Gabriel
authors.forename: Judith
authors.initials: J
authors.lastname: Grant
authors.forename: William D
authors.initials: WD
authors.lastname: Beavis
authors.forename: Velizar T
authors.initials: VT
authors.lastname: Tchernev
authors.forename: Lorah
authors.initials: L
authors.lastname: Perlee
authors.forename: Serguei
authors.initials: S
authors.lastname: Lejnine
authors.forename: Brian
authors.initials: B
authors.lastname: Grimwade
authors.forename: Martin
authors.initials: M
authors.lastname: Sorette
authors.forename: J David M
authors.initials: JD
authors.lastname: Edgar
mesh_terms: D015415:Biomarkers / Q000097:blood*; D001798:Blood Proteins / Q000032:analysis; D016000:Cluster Analysis; D003710:Demography; D005865:Gestational Age; D006801:Humans; D007118:Immunoassay; D007231:Infant, Newborn; D007234:Infant, Premature / Q000097:blood*; D007235:Infant, Premature, Diseases / Q000097:blood* / Q000175:diagnosis*; D007239:Infections / Q000097:blood* / Q000175:diagnosis*; D015999:Multivariate Analysis
chemical_list: D015415:Biomarkers; D001798:Blood Proteins