TY - JOUR
T1 - A Neutrophil-Driven Inflammatory Signature Characterizes the Blood Transcriptome Fingerprint of Psoriasis
AU - Rawat, Arun
AU - Rinchai, Darawan
AU - Toufiq, Mohammed
AU - Marr, Alexandra K.
AU - Kino, Tomoshige
AU - Garand, Mathieu
AU - Tatari-Calderone, Zohreh
AU - Kabeer, Basirudeen Syed Ahamed
AU - Krishnamoorthy, Navaneethakrishnan
AU - Bedognetti, Davide
AU - Karim, Mohammed Yousuf
AU - Sastry, Konduru S.
AU - Chaussabel, Damien
N1 - Publisher Copyright:
© Copyright © 2020 Rawat, Rinchai, Toufiq, Marr, Kino, Garand, Tatari-Calderone, Kabeer, Krishnamoorthy, Bedognetti, Karim, Sastry and Chaussabel.
PY - 2020/11/24
Y1 - 2020/11/24
N2 - Transcriptome profiling approaches have been widely used to investigate the mechanisms underlying psoriasis pathogenesis. Most researchers have measured changes in transcript abundance in skin biopsies; relatively few have examined transcriptome changes in the blood. Although less relevant to the study of psoriasis pathogenesis, blood transcriptome profiles can be readily compared across various diseases. Here, we used a pre-established set of 382 transcriptional modules as a common framework to compare changes in blood transcript abundance in two independent public psoriasis datasets. We then compared the resulting “transcriptional fingerprints” to those obtained for a reference set of 16 pathological or physiological states. The perturbations in blood transcript abundance in psoriasis were relatively subtle compared to the changes we observed in other autoimmune and auto-inflammatory diseases. However, we did observe a consistent pattern of changes for a set of modules associated with neutrophil activation and inflammation; interestingly, this pattern resembled that observed in patients with Kawasaki disease. This similarity between the blood-transcriptome signatures in psoriasis and Kawasaki disease suggests that the immune mechanisms driving their pathogenesis might be partially shared.
AB - Transcriptome profiling approaches have been widely used to investigate the mechanisms underlying psoriasis pathogenesis. Most researchers have measured changes in transcript abundance in skin biopsies; relatively few have examined transcriptome changes in the blood. Although less relevant to the study of psoriasis pathogenesis, blood transcriptome profiles can be readily compared across various diseases. Here, we used a pre-established set of 382 transcriptional modules as a common framework to compare changes in blood transcript abundance in two independent public psoriasis datasets. We then compared the resulting “transcriptional fingerprints” to those obtained for a reference set of 16 pathological or physiological states. The perturbations in blood transcript abundance in psoriasis were relatively subtle compared to the changes we observed in other autoimmune and auto-inflammatory diseases. However, we did observe a consistent pattern of changes for a set of modules associated with neutrophil activation and inflammation; interestingly, this pattern resembled that observed in patients with Kawasaki disease. This similarity between the blood-transcriptome signatures in psoriasis and Kawasaki disease suggests that the immune mechanisms driving their pathogenesis might be partially shared.
KW - Kawasaki disease
KW - blood
KW - psoriasis
KW - systems biology
KW - transcriptomics
UR - http://www.scopus.com/inward/record.url?scp=85097366161&partnerID=8YFLogxK
U2 - 10.3389/fimmu.2020.587946
DO - 10.3389/fimmu.2020.587946
M3 - Article
C2 - 33329570
AN - SCOPUS:85097366161
SN - 1664-3224
VL - 11
JO - Frontiers in immunology
JF - Frontiers in immunology
M1 - 587946
ER -