A novel immune biomarker IFI27 discriminates between influenza and bacteria in patients with suspected respiratory infection

Tang, Benjamin M., Shojaei, Maryam, Parnell, Grant P., Huang, Stephen, Nalos, Marek, Teoh, Sally, O'Connor, Kate, Schibeci, Stephen, Phu, Amy L., Kumar, Anand, Ho, John, Meyers, Adrienn F.A., Keynan, Yoav, Ball, Terry, Pisipati, Amarnath, Kumar, Aseem, Moore, Elizabeth, Eisen, Damon, Lai, Kevin, Gillett, Mark, Geffers, Robert, Luo, Hao, Gul, Fahad, Schreiber, Jens, Riedel, Sandra, Booth, David, McLean, Anthony, and Schughart, Klaus (2017) A novel immune biomarker IFI27 discriminates between influenza and bacteria in patients with suspected respiratory infection. European Respiratory Journal, 49 (6). 1602098.

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Abstract

Host response biomarkers can accurately distinguish between influenza and bacterial infection. However, published biomarkers require the measurement of many genes, thereby making it difficult to implement them in clinical practice. This study aims to identify a single-gene biomarker with a high diagnostic accuracy equivalent to multi-gene biomarkers.

In this study, we combined an integrated genomic analysis of 1071 individuals with in vitro experiments using well-established infection models.

We identified a single-gene biomarker, IFI27, which had a high prediction accuracy (91%) equivalent to that obtained by multi-gene biomarkers. In vitro studies showed that IFI27 was upregulated by TLR7 in plasmacytoid dendritic cells, antigen-presenting cells that responded to influenza virus rather than bacteria. In vivo studies confirmed that IFI27 was expressed in influenza patients but not in bacterial infection, as demonstrated in multiple patient cohorts (n=521). In a large prospective study (n=439) of patients presented with undifferentiated respiratory illness (aetiologies included viral, bacterial and non-infectious conditions), IFI27 displayed 88% diagnostic accuracy (AUC) and 90% specificity in discriminating between influenza and bacterial infections.

IFI27 represents a significant step forward in overcoming a translational barrier in applying genomic assay in clinical setting; its implementation may improve the diagnosis and management of respiratory infection.

Item ID: 51408
Item Type: Article (Research - C1)
ISSN: 1399-3003
Funders: Nepean Institute of Critical Care Education and Research, Helmholtz Association (HA)
Projects and Grants: HA research grant FluResearchNet no. 01KI07137
Date Deposited: 26 Nov 2017 23:38
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110309 Infectious Diseases @ 40%
11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110303 Clinical Microbiology @ 40%
11 MEDICAL AND HEALTH SCIENCES > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified @ 20%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920109 Infectious Diseases @ 50%
92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920115 Respiratory System and Diseases (incl. Asthma) @ 50%
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