scholarly journals A7.11 Genetic Variation in Promoter Sequence of B-Cell-Activating Factor of the TNF Family (BAFF) in Patients with Idiopathic Inflammatory Myopathies (IIM)

2013 ◽  
Vol 72 (Suppl 1) ◽  
pp. A51.3-A52 ◽  
Author(s):  
M Faustova ◽  
L Plestilova ◽  
H Hulejova ◽  
O Pecha ◽  
Z Betteridge ◽  
...  
2010 ◽  
Vol 69 (Suppl 2) ◽  
pp. A31-A31
Author(s):  
M. Faustova ◽  
P. Novota ◽  
O. Krystufkova ◽  
H. Hulejova ◽  
J. Vencovsky

2009 ◽  
Vol 69 (10) ◽  
pp. 4217-4224 ◽  
Author(s):  
Anne J. Novak ◽  
Susan L. Slager ◽  
Zachary S. Fredericksen ◽  
Alice H. Wang ◽  
Michelle M. Manske ◽  
...  

2012 ◽  
Vol 130 (4) ◽  
pp. 996-999.e6 ◽  
Author(s):  
Rajesh Kumar ◽  
L. Keoki Williams ◽  
Atsushi Kato ◽  
Edward L. Peterson ◽  
Silvio Favoreto ◽  
...  

2021 ◽  
Author(s):  
Erin Marie Wilfong ◽  
Todd Bartkowiak ◽  
Katherine N. Vowell ◽  
Camille S. Westlake ◽  
Jonathan M. Irish ◽  
...  

Objectives: The idiopathic inflammatory myopathies (IIM) are a clinically heterogeneous group of conditions affecting the skin, muscle, joint, and lung in various combinations. This study aims to investigate the immunologic heterogeneity through detailed immunophenotyping of peripheral blood mononuclear cells (PBMCs) in IIM patients and healthy controls. Methods: We collected PBMCs from 17 patients with a clinical diagnosis of inflammatory myositis in the inpatient or outpatient setting and performed immunophenotyping using mass cytometry by time of flight (CyTOF) to simultaneously characterize B, T, and myeloid cell subsets. Data were analyzed using a combination of supervised biaxial gating and unsupervised clustering algorithms including t-distributed stochastic neighbor embedding (tSNE), cluster identification, characterization, and regression (CITRUS), and marker enrichment modeling (MEM). Results: We identified two distinct immune signatures amongst IIM patients. In one signature, increased CD19+CXCR4hiCCR7hi cells correlated with increased CD3+CXCR4hiCD38hi (r=0.62, p=0.009) and CD14+CD16-CXCR4+CD38+HLADR- (r=0.61, p=0.01) populations. In the second signature, increased CD19+CD21loCD11c+ cells correlated with an increased CD3+CD4+PD1+ (r=0.60, p=0.01) population. Other shared immunologic features amongst IIM patients compared to healthy controls included decreased surface expression of RP105/CD180 on B cells (median mass intensity 39.9 ± 16.0 v. 60.9 ± 20.1, p=0.002). In the T cell compartment, all circulating CD3+CXCR3+ subsets (2.7 ± 2.4 v. 9.6 ± 8.1% of all PBMCs, p=0.0004) were reduced. Conclusion: Based on circulating B cell phenotype, we identified two distinct immunologic signatures in IIM patients. Future work is needed to determine the significance of these immune signatures for clinical manifestations and treatment responses.


Blood ◽  
2011 ◽  
Vol 118 (4) ◽  
pp. 1140-1144 ◽  
Author(s):  
William B. Clark ◽  
Kristin D. Brown-Gentry ◽  
Dana C. Crawford ◽  
Kang-Hsien Fan ◽  
Jennifer Snavely ◽  
...  

Abstract B-cell activating factor (BAFF) single nucleotide polymorphisms (SNPs) are associated with autoimmune diseases. Because patients with classic and overlap chronic GVHD (cGVHD) have features of autoimmune diseases, we studied the association of recipient and/or donor BAFF SNPs with the phenotype of GVHD after allogeneic stem cell transplantation. Twenty tagSNPs of the BAFF gene were genotyped in 164 recipient/donor pairs. GVHD after day 100 occurred in 124 (76%) patients: acute GVHD (aGVHD) subtypes (n = 23), overlap GVHD (n = 29), and classic cGVHD (n = 72). In SNP analyses, 9 of the 20 tag SNPs were significant comparing classic/overlap cGVHD versus aGVHD subtypes/no GVHD. In multivariate analyses, 4 recipient BAFF SNPs (rs16972217 [odds ratio = 2.72, P = .004], rs7993590 [odds ratio = 2.35, P = .011], rs12428930 [odds ratio2.53, P = .008], and rs2893321 [odds ratio = 2.48, P = .009]) were independent predictors of GVHD subtypes, adjusted for conventional predictors of cGVHD. This study shows that genetic variation of BAFF modulates GVHD phenotype after allogeneic stem cell transplantation.


Sign in / Sign up

Export Citation Format

Share Document