Id: 46

Belguendouz, Houda; Chaib, Samia; Lahmar-Belguendouz, K.; Messaoudene, D.; Djeraba, Zineb; Youinou, Pierre; Otmani, F.; Hakem, D.; Lahlou-Boukoffa, Ouidad; Touil-Boukoffa, Chafia

doi:10.1016/j.cyto.2015.08.076

Cited by 1 publication

(1 citation statement)

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“…Of note, QDPR inhibition resulted in a significant increase in TGF-β1 expression in a human kidney cell line (31). Sera of patients with vasculitis, Behcet's disease, and giant cell arteritis, showed increased TGF-β1 levels (32)(33)(34). Thus, we hypothesize that QDPR participates in TAK pathogenesis through BH4/NO or TGF-β1inendothelial cells.…”

Section: Discussionmentioning

confidence: 91%

Identification of Novel Serological Autoantibodies in Takayasu Arteritis Patients Using HuProt Arrays

Wen

Song

et al. 2021

Molecular & Cellular Proteomics

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To identify novel autoantibodies of Takayasu arteritis (TAK) using HuProt array-based approach. A two-phase approach was adopted. In Phase I, serum samples collected from 40 TAK patients, 15 autoimmune disease patients, and 20 healthy subjects were screened to identify TAK-specific autoantibodies using human protein (HuProt) arrays. In Phase II, the identified candidate autoantibodies were validated with TAK-focused arrays using an additional cohort comprised of 109 TAK patients, 110 autoimmune disease patients, and 96 healthy subjects. Subsequently, the TAK-specific autoantibodies validated in Phase II were further confirmed using Western blot analysis. We identified and validated eight autoantibodies as potential TAK-specific diagnostic biomarkers, including anti-SPATA7, -QDPR, -SLC25A2, -PRH2, -DIXDC1, -IL17RB, -ZFAND4, and -NOLC1 antibodies, with AUC of 0.803, 0.801, 0.780, 0.696, 0.695, 0.678, 0.635 and 0.613, respectively. SPATA7 could distinguish TAK from healthy and disease controls with 73.4% sensitivity at 85.4% specificity, while QDPR showed 71.6% sensitivity at 86.4% specificity. SLC25A22 showed the highest sensitivity of 80.7%, but at lower specificity of 67.0%. In addition, PRH2, IL17RB and NOLC1 showed good specificities of 88.3%, 85.9% and 86.9%, respectively, but at lower sensitivities (<50%). Finally, DIXDC1 and ZFAND4 showed moderate performance as compared with the other autoantibodies. Using a decision tree model, we could reach a specificity of 94.2% with AUC of 0.843, a significantly improved performance as compared to that by each individual biomarker. The performance of three autoantibodies, namely anti-SPATA7, -QDPR and -PRH2, were successfully confirmed with Western blot analysis. Using this two-phase strategy, we identified and validated eight novel autoantibodies as TAK–specific biomarker candidates, three of which could be readily adopted in a clinical setting.

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Section: Discussionmentioning

confidence: 91%