Eotaxin-3 as a Biomarker of Activity in Established Eosinophilic Granulomatosis with Polyangiitis

Zagvozdkina, Eugenia; Moiseev, Sergey; Novikov, Pavel

doi:10.3899/jrheum.160576

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…Despite the clinical, histological, and genetic differences between ANCA-positive and ANCA-negative EGPA, few studies have reported whether distinct pathophysiological mechanisms or molecular pathways operate in these two subsets. Reports investigating the clinical or prognostic significance of circulating biomarkers (e.g., eosinophil counts, eotaxin-3, IgG4) either did not assess or failed to detect associations between such parameters and the ANCA status (38)(39)(40)(41). In a recent review, Chaigne and colleagues speculated that vasculitis phenotype of EGPA may be mediated by neutrophils, neutrophil extracellular traps, and B lymphocytes, whereas eosinophils may drive the nonvasculitis phenotype (42).…”

Section: Clinical Value Of Anca In Egpamentioning

confidence: 99%

International Consensus on Antineutrophil Cytoplasm Antibodies Testing in Eosinophilic Granulomatosis with Polyangiitis

Moiseev

Bossuyt

Arimura

et al. 2020

Am J Respir Crit Care Med

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Section: Clinical Value Of Anca In Egpamentioning

confidence: 99%

International Consensus on Antineutrophil Cytoplasm Antibodies Testing in Eosinophilic Granulomatosis with Polyangiitis

Moiseev

Bossuyt

Arimura

et al. 2020

Am J Respir Crit Care Med

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“…In addition, the eosinophil cationic protein was correlated with disease activity in small series. Other studies examined several novel biomarkers, e.g., CCL17/TARC (Dallos et al, 2010;Dejaco et al, 2015), IgG4 (Augusto Vaglio et al, 2012;Dejaco et al, 2015) and CCL26/eotaxin-3 (Polzer et al, 2008;Dejaco et al, 2015;Zagvozdkina et al, 2016), but their use for routine diagnosis has not yet been implemented. These findings suggest that novel biomarkers to monitor disease activity in EGPA are still needed.…”

Section: Introductionmentioning

confidence: 99%

Serum Cytokine Profiling Identifies Axl as a New Biomarker Candidate for Active Eosinophilic Granulomatosis With Polyangiitis

Dong

Wei

et al. 2021

Front. Mol. Biosci.

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Background: Eosinophilic granulomatosis with polyangiitis (EGPA) prognosis is generally favorable and is treated with combined corticosteroids/immunosuppressor(s) therapy. However, disease flares increase the number of clinical visits. Therefore, discovering new serum biomarkers for early identification of active EGPA is crucial.Objective: To identify reliable serum biomarkers to measure EGPA activity.Methods: The expression of 160 proteins was compared in sera from 15 inactive and 13 active EGPA patients by antibody-based microarray. Network-based analysis identified patterns in the different groups. Differentially expressed proteins (DEPs) in active disease were identified, and the correlation between their serum levels and clinical parameters was assessed. DEPs were further analyzed for GO enrichment and KEGG pathways. Finally, DEP marker candidates were validated by ELISA and Bio-plex as well as against a second cohort of 22 inactive and 18 active EGPA patients.Results: The active group presented higher peripheral and sputum eosinophil counts, FeNO, and FEV1 (% predicted) (P < 0.05). Network-based analysis showed scattered expression patterns in active subjects, but no significant bias in inactive subjects. Significant differences were observed in serum levels of 19 candidate markers, all of which were higher in active EGPA (P < 0.05). KEGG analysis indicated that DEPs were mainly involved in the MAPK, PI3K-Akt, RAS and Rap1 related pathways. Nine out of 19 candidate markers were positively correlated with peripheral eosinophil counts including FGF-7, SCF, GDNF, β-NGF, IGFBP-4, Axl, PIGF, Insulin, NT-4, ErbB3, OPN and BMP-4 (r = 0.693, r = 0.692, r = 0.687, r = 0.683, r = 0.671, r = 0.606, r = 0.571, r = 0.570, r = 0.516, respectively; P < 0.05), while two, CD14 and MCP-3, were negatively correlated (r = −0.644 and r = −0.515; P < 0.05). The higher expression of Axl, OPN, HCC-4, GDNF, and MCP-3 in active EGPA subjects was confirmed by ELISA and Custom Multiplex Bio-plex analyses.Conclusion: The serum protein profiles were significantly different between active and inactive EGPA. The expression of the candidate proteins correlated with peripheral blood eosinophil count. Serum Axl, OPN, HCC-4, GDNF, and MCP-3 levels were consistently higher in active EGPA, independent of the assessment methods. Finally, Axl had the largest AUC, indicating that this cytokine may serve as novel biomarker for the diagnosis of active EGPA.

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Eotaxin-3 as a Biomarker of Activity in Established Eosinophilic Granulomatosis with Polyangiitis

Cited by 4 publications

References 9 publications

International Consensus on Antineutrophil Cytoplasm Antibodies Testing in Eosinophilic Granulomatosis with Polyangiitis

International Consensus on Antineutrophil Cytoplasm Antibodies Testing in Eosinophilic Granulomatosis with Polyangiitis

Serum Cytokine Profiling Identifies Axl as a New Biomarker Candidate for Active Eosinophilic Granulomatosis With Polyangiitis

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