- Oral presentation
- Open Access
Identification of Blau Syndrome disease signatures
© Foley et al; licensee BioMed Central Ltd. 2011
- Published: 14 September 2011
- Plasma Protein
- Transcriptional Profile
- Future Clinical Trial
- Disease Signature
- NOD2 Signaling
Blau Syndrome is an inherited granulomatous inflammatory disorder caused by gain-of-function mutations in NOD2, leading to activation of downstream signaling through the RIP2 kinase and production of pro-inflammatory cytokines.
To identify robust biomarkers of disease activity, we undertook a systematic analysis of whole blood gene and plasma protein expression in Blau patients versus normal healthy volunteers (NHVs).
Whole blood cell total RNA and plasma samples were obtained from Blau patients (N=6) and NHVs (N=8) and used in accord with informed consents. Transcriptional profiling was performed using Affymetrix microarrays, and immunoassays for 261 plasma proteins were performed using multiplexed Luminex arrays. Results were confirmed by real-time RT-PCR and ELISAs on independent samples.
By transcriptional profiling, a 21-gene signature was identified as differentially expressed between Blau and NHV samples. Consistent with constitutive activation of NOD2 signaling in Blau, 14 out of 21 of these genes were similarly regulated by NOD2 ligand stimulation in a NHV whole blood assay (P<0.0001). Plasma protein profiling identified a 7-protein signature specifically upregulated in Blau relative to NHV samples. Cross validation by PLS-DA supervised classification showed 90-100% accuracy in assigning patient disease status. Of particular interest, the inflammatory protein S100A12 (EN-RAGE) was found to be increased by 4.6 fold in Blau plasma (FDR P=0.005).
We have identified both whole blood transcriptional and plasma protein signatures that uniquely distinguish Blau from normal volunteers. S100A12, a recently emerging biomarker of neutrophil-mediated inflammation, is consistently upregulated in Blau patients and may be a useful biomarker for monitoring disease state in future clinical trials. Finally, bioinformatic pathway analyses and comparisons of these findings with other known disease signatures may provide new insights into the pathogenesis of Blau Syndrome.
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.