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Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform

Published on: January 13, 2016

A host-based two-gene model for the identification of bacterial infection in general clinical settings

Hongxing Lei¹, Xiaoyue Xu², Chi Wang³

¹CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Center for Bioinformation, Beijing, China; Cunji Medical School, University of Chinese Academy of Sciences, Beijing, China; Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.

International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases

|March 5, 2021

Abstract

Objectives:

In this study, we aimed to develop a simple gene model to identify bacterial infection, which can be implemented in general clinical settings.

Methods:

We used a clinically availablereal-time quantitative polymerase chain reaction platform to conduct focused gene expression assays on clinical blood samples. Samples were collected from 2 tertiary hospitals.

Results:

We found that the 8 candidate genes for bacterial infection were significantly dysregulated in bacterial infection and displayed good performance in group classification, whereas the 2 genes for viral infection displayed poor performance. A two-gene model (S100A12 and CD177) displayed 93.0% sensitivity and 93.7% specificity in the modeling stage. In the independent validation stage, 87.8% sensitivity and 96.6% specificity were achieved in one set of case-control groups, and 93.6% sensitivity and 97.1% specificity in another set.

Conclusions:

We have validated the signature genes for bacterial infection and developed a two-gene model to identify bacterial infection in general clinical settings.

Keywords:

Bacterial infection CRP Diagnosis Gene model Host transcriptional response PCT

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