A multidimensional blood stimulation assay reveals immune alterations underlying systemic juvenile idiopathic arthritis.
A multidimensional blood stimulation assay reveals immune alterations underlying systemic juvenile idiopathic arthritis.
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DOI:
10.1084/jem.20170412
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发表时间:
2017-11-06
期刊:
影响因子:
--
通讯作者:
Pascual V
中科院分区:
文献类型:
--
作者:
Cepika AM;Banchereau R;Segura E;Ohouo M;Cantarel B;Goller K;Cantrell V;Ruchaud E;Gatewood E;Nguyen P;Gu J;Anguiano E;Zurawski S;Baisch JM;Punaro M;Baldwin N;Obermoser G;Palucka K;Banchereau J;Amigorena S;Pascual V
The etiology of autoinflammation in systemic juvenile idiopathic arthritis is unclear. Cepika et al. use integrated analysis of multidimensional blood stimulation data, applied to patients while off treatment and in complete remission, to reveal underlying cellular and molecular mechanisms that might predispose to disease. The etiology of sporadic human chronic inflammatory diseases remains mostly unknown. To fill this gap, we developed a strategy that simultaneously integrates blood leukocyte responses to innate stimuli at the transcriptional, cellular, and secreted protein levels. When applied to systemic juvenile idiopathic arthritis (sJIA), an autoinflammatory disease of unknown etiology, this approach identified gene sets associated with specific cytokine environments and activated leukocyte subsets. During disease remission and off treatment, sJIA patients displayed dysregulated responses to TLR4, TLR8, and TLR7 stimulation. Isolated sJIA monocytes underexpressed the IL-1 inhibitor aryl hydrocarbon receptor (AHR) at baseline and accumulated higher levels of intracellular IL-1β after stimulation. Supporting the demonstration that AHR down-regulation skews monocytes toward macrophage differentiation, sJIA monocytes differentiated in vitro toward macrophages, away from the dendritic cell phenotype. This might contribute to the increased incidence of macrophage activation syndrome in these patients. Integrated analysis of high-dimensional data can thus unravel immune alterations predisposing to complex inflammatory diseases.
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影响因子:
30.5
作者:
Alsina, Laia;Israelsson, Elisabeth;Altman, Matthew C.;Dang, Kristen K.;Ghandil, Pegah;Israel, Laura;von Bernuth, Horst;Baldwin, Nicole;Qin, Huanying;Jin, Zongbo;Banchereau, Romain;Anguiano, Esperanza;Ionan, Alexei;Abel, Laurent;Puel, Anne;Picard, Capucine;Pascual, Virginia;Casanova, Jean Laurent;Chaussabel, Damien
通讯作者:
Chaussabel, Damien
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
3
作者:
Langfelder P;Horvath S
通讯作者:
Horvath S
影响因子:
5.4
作者:
Chaussabel D;Pascual V;Banchereau J
通讯作者:
Banchereau J
影响因子:
7
作者:
Harrow J;Frankish A;Gonzalez JM;Tapanari E;Diekhans M;Kokocinski F;Aken BL;Barrell D;Zadissa A;Searle S;Barnes I;Bignell A;Boychenko V;Hunt T;Kay M;Mukherjee G;Rajan J;Despacio-Reyes G;Saunders G;Steward C;Harte R;Lin M;Howald C;Tanzer A;Derrien T;Chrast J;Walters N;Balasubramanian S;Pei B;Tress M;Rodriguez JM;Ezkurdia I;van Baren J;Brent M;Haussler D;Kellis M;Valencia A;Reymond A;Gerstein M;Guigó R;Hubbard TJ
通讯作者:
Hubbard TJ