Devyani Lal, MD, Benjamin L. Wright, MD, Kelly P. Shim, BS, Matthew A

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Eosinophil peroxidase, GATA3, and T-bet as tissue biomarkers in chronic rhinosinusitis Devyani Lal, MD, Benjamin L. Wright, MD, Kelly P. Shim, BS, Matthew A. Zarka, MD, James J. Lee, PhD, Yu-Hui Chang, PhD, Sergei I. Ochkur, PhD, Rohit Divekar, MBBS, PhD, Alfred D. Doyle, PhD, Elizabeth A. Jacobsen, PhD, Hirohito Kita, MD, Matthew A. Rank, MD Journal of Allergy and Clinical Immunology Volume 143, Issue 6, Pages 2284-2287.e6 (June 2019) DOI: 10.1016/j.jaci.2019.01.038 Copyright © 2019 American Academy of Allergy, Asthma & Immunology Terms and Conditions

Fig 1 A, EPX is compared with the G:T ratio in subjects with CRS and controls. B, G:T by eosinophil count categorized as 10 or less/hpf or more than 10/hpf. C, G:T by nasal polyp status. D, G:T by asthma status. E, G:T by aspirin tolerance status—aspirin-exacerbated respiratory disease (AERD) or not. F, G:T by sinus CT score using the Lund-Mackay scoring system. G, G:T by basement membrane thickening categories. Journal of Allergy and Clinical Immunology 2019 143, 2284-2287.e6DOI: (10.1016/j.jaci.2019.01.038) Copyright © 2019 American Academy of Allergy, Asthma & Immunology Terms and Conditions

Fig 1 A, EPX is compared with the G:T ratio in subjects with CRS and controls. B, G:T by eosinophil count categorized as 10 or less/hpf or more than 10/hpf. C, G:T by nasal polyp status. D, G:T by asthma status. E, G:T by aspirin tolerance status—aspirin-exacerbated respiratory disease (AERD) or not. F, G:T by sinus CT score using the Lund-Mackay scoring system. G, G:T by basement membrane thickening categories. Journal of Allergy and Clinical Immunology 2019 143, 2284-2287.e6DOI: (10.1016/j.jaci.2019.01.038) Copyright © 2019 American Academy of Allergy, Asthma & Immunology Terms and Conditions

Fig E1 A, EPX. B, T-bet. C, GATA3. A low-power picture of tissue was taken with the Aperio slide scanner. Once scanned, slides were analyzed using an ImageScope nuclear algorithm. Columns 2 and 3 depict a 20× field of view, with column 3 depicting the false color markup ImageScope uses to show nuclear stain intensity. Nuclei are represented as different colors depending on the intensity of staining as outlined in the algorithm parameters. Blue nuclei represent Nuclear 0 cells and represent cells that have a 0% average staining intensity. Yellow nuclei represent Nuclear 1+ cells and represent cells that have a 1% to 33% average staining intensity. Orange nuclei represent Nuclear 2+ cells and represent cells that have a 33% to 66% average staining intensity. Red nuclei represent Nuclear 3+ cells and represent cells that have a 67% to 100% average staining intensity. Green outlines in column 3 depict where negative selection of tissue was implemented to reduce the amount of false-positive cells detected by the algorithm. Journal of Allergy and Clinical Immunology 2019 143, 2284-2287.e6DOI: (10.1016/j.jaci.2019.01.038) Copyright © 2019 American Academy of Allergy, Asthma & Immunology Terms and Conditions

Fig E2 GATA3 compared with T-BET in subjects with CRS and controls. Journal of Allergy and Clinical Immunology 2019 143, 2284-2287.e6DOI: (10.1016/j.jaci.2019.01.038) Copyright © 2019 American Academy of Allergy, Asthma & Immunology Terms and Conditions

Fig E3 EPX compared with (A) nasal polyp status, (B) asthma status, (C) aspirin tolerance status—aspirin-exacerbated respiratory disease (AERD) or not, (D) sinus CT scan score (Lund-Mackay), and (E) basement membrane thickening. Journal of Allergy and Clinical Immunology 2019 143, 2284-2287.e6DOI: (10.1016/j.jaci.2019.01.038) Copyright © 2019 American Academy of Allergy, Asthma & Immunology Terms and Conditions