Literature DB >> 26928648

Serological diagnosis of pneumococcal infection in children with pneumonia using protein antigens: A study of cut-offs with positive and negative controls.

Dafne Carvalho Andrade1, Igor Carmo Borges2, Lauri Ivaska3, Ville Peltola3, Andreas Meinke4, Aldina Barral5, Helena Käyhty6, Olli Ruuskanen3, Cristiana Maria Nascimento-Carvalho7.   

Abstract

The etiological diagnosis of infection by Streptococcus pneumoniae in children is difficult, and the use of indirect techniques is frequently warranted. We aimed to study the use of pneumococcal proteins for the serological diagnosis of pneumococcal infection in children with pneumonia. We analyzed paired serum samples from 13 Brazilian children with invasive pneumococcal pneumonia (positive control group) and 23 Finnish children with viral pharyngitis (negative control group), all aged <5years-old. Children with pharyngitis were evaluated for oropharyngeal colonization, and none of them carried S. pneumoniae. We used a multiplex bead-based assay with eight proteins: Ply, CbpA, PspA1 and 2, PcpA, PhtD, StkP and PcsB. The optimal cut-off for increase in antibody level for the diagnosis of pneumococcal infection was determined for each antigen by ROC curve analysis. The positive control group had a significantly higher rate of ≥2-fold rise in antibody levels against all pneumococcal proteins, except Ply, compared to the negative controls. The cut-off of ≥2-fold increase in antibody levels was accurate for pneumococcal infection diagnosis for all investigated antigens. However, there was a substantial increase in the accuracy of the test with a cut-off of ≥1.52-fold rise in antibody levels for PcpA. When using the investigated protein antigens for the diagnosis of pneumococcal infection, the detection of response against at least one antigen was highly sensitive (92.31%) and specific (91.30%). The use of serology with pneumococcal proteins is a promising method for the diagnosis of pneumococcal infection in children with pneumonia. The use of a ≥2-fold increase cut-off is adequate for most pneumococcal proteins.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bacteremia; Fluorescent multiplex microsphere immunoassay (FMIA); Immune response; Invasive pneumococcal disease; Luminex; Respiratory infection

Mesh:

Substances:

Year:  2016        PMID: 26928648     DOI: 10.1016/j.jim.2016.02.021

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  5 in total

1.  Natural Development of Antibodies against Streptococcus pneumoniae, Haemophilus influenzae, and Moraxella catarrhalis Protein Antigens during the First 13 Years of Life.

Authors:  Igor C Borges; Dafne C Andrade; Maria Regina A Cardoso; Jorma Toppari; Mari Vähä-Mäkilä; Jorma Ilonen; Mikael Knip; Heikki Hyöty; Riitta Veijola; Olli Simell; Tuomas Jartti; Helena Käyhty; Olli Ruuskanen; Cristiana M Nascimento-Carvalho
Journal:  Clin Vaccine Immunol       Date:  2016-11-04

2.  Determination of avidity of IgG against protein antigens from Streptococcus pneumoniae: assay development and preliminary application in clinical settings.

Authors:  D C Andrade; I C Borges; N Ekström; T Jartti; T Puhakka; A Barral; H Kayhty; O Ruuskanen; C M Nascimento-Carvalho
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-10-12       Impact factor: 3.267

3.  Assessment of an Antibody-in-Lymphocyte Supernatant Assay for the Etiological Diagnosis of Pneumococcal Pneumonia in Children.

Authors:  Michael J Carter; Pallavi Gurung; Claire Jones; Shristy Rajkarnikar; Rama Kandasamy; Meeru Gurung; Stephen Thorson; Madhav C Gautam; Krishna G Prajapati; Bibek Khadka; Anju Maharjan; Julian C Knight; David R Murdoch; Thomas C Darton; Merryn Voysey; Brian Wahl; Katherine L O'Brien; Sarah Kelly; Imran Ansari; Ganesh Shah; Nina Ekström; Merit Melin; Andrew J Pollard; Dominic F Kelly; Shrijana Shrestha
Journal:  Front Cell Infect Microbiol       Date:  2020-01-17       Impact factor: 5.293

4.  Diagnosis of Streptococcus pneumoniae infection using circulating antibody secreting cells.

Authors:  Shuya Kyu; Richard P Ramonell; Merin Kuruvilla; Colleen S Kraft; Yun F Wang; Ann R Falsey; Edward E Walsh; John L Daiss; Simon Paulos; Gowrisankar Rajam; Hao Wu; Srinivasan Velusamy; F Eun-Hyung Lee
Journal:  PLoS One       Date:  2021-11-12       Impact factor: 3.240

5.  Identification of biomarkers for the accurate and sensitive diagnosis of three bacterial pneumonia pathogens using in silico approaches.

Authors:  Olalekan Olanrewaju Bakare; Marshall Keyster; Ashley Pretorius
Journal:  BMC Mol Cell Biol       Date:  2020-11-20
  5 in total

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