Back to Search Start Over

Multiparameter flow cytometry analysis of leukocyte markers for diagnosis in preterm neonatal sepsis

Authors :
Martha Lucía Granados Cepeda
Maria Graciela Hernandez Pelaez
Arturo Cérbulo-Vázquez
Roberto Arizmendi Villanueva
Guadalupe Cordero Gonzalez
Stephania Vázquez Rodríguez
Estibalitz Laresgoiti Servitje
Leopoldo Flores Romo
José Luis Cruz Ramírez
Javier Mancilla Ramirez
Gisela Villalobos Alcazar
Lourdes A. Arriaga Pizano
Armando Isibasi
Constantino Lopez Macias
Omar L. Peralta Méndez
Luis A. Jimenez Zamudio
Source :
The Journal of Maternal-Fetal & Neonatal Medicine. 34:2323-2333
Publication Year :
2019
Publisher :
Informa UK Limited, 2019.

Abstract

Neonatal sepsis is an important public health concern worldwide due to its immediate lethality and long-term morbidity rates, Clinical evaluation and laboratory analyses are indispensable for diagnosis of neonatal sepsis. However, assessing multiple biomarkers in neonates is difficult due to limited blood availability. The aim is to investigate if the neonatal sepsis in preterm could be identified by multiparameter analysis with flow cytometry.The expression of activation-related molecules was evaluated by flow cytometry in newborn with or without risk factors for sepsis.Our analysis revealed that several markers could be useful for sepsis diagnosis, such as CD45RA, CD45RO, or CD71 on T cells; HLA-DR on NKT or classic monocytes, and TREM-1 on non-classic monocytes or neutrophils. However, ROC analysis shows that the expression of CD45RO on T lymphocytes is the only useful biomarker for diagnosis of neonatal late-onset sepsis. Also, decision tree analyses showed that CD45RO plus CD27 could help differentiate the preterm septic neonates from those with risk factors.Our study shows a complementary and practical strategy for biomarker assessment in neonatal sepsis.

Details

ISSN :
14764954 and 14767058
Volume :
34
Database :
OpenAIRE
Journal :
The Journal of Maternal-Fetal & Neonatal Medicine
Accession number :
edsair.doi.dedup.....64d2a055adfd314cd322ac99052f7c6a
Full Text :
https://doi.org/10.1080/14767058.2019.1666100