Haili Xu1,2, Timothy Radabaugh1,3, Zhenqiang Lu1,4, Michael Galligan1,3, Dean Billheimer1,4,5,6, Donata Vercelli1,5,7,8,9, Anne L Wright8,10, Terrence J Monks1,3,5,9, Marilyn Halonen2,5,8,9, Serrine S Lau11,12,13,14. 1. Southwest Environmental Health Sciences Center, The University of Arizona, Tucson, AZ, USA. 2. Department of Pharmacology, The University of Arizona, Tucson, AZ, USA. 3. Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, AZ, USA. 4. Department of Epidemiology and Biostatistics, College of Public Health, The University of Arizona, Tucson, AZ, USA. 5. Bio5 Institute, The University of Arizona, Tucson, AZ, USA. 6. Statistics Consulting Laboratory, The University of Arizona, Tucson, AZ, USA. 7. Department of Cellular and Molecular Medicine, The University of Arizona, Tucson, AZ, USA. 8. Arizona Respiratory Center, The University of Arizona, Tucson, AZ, USA. 9. Arizona Center for the Biology of Complex Disease, The University of Arizona, Tucson, AZ, USA. 10. Department of Pediatrics, College of Medicine, The University of Arizona, Tucson, AZ, USA. 11. Southwest Environmental Health Sciences Center, The University of Arizona, Tucson, AZ, USA. serrine.lau@wayne.edu. 12. Department of Pharmacology and Toxicology, College of Pharmacy, The University of Arizona, Tucson, AZ, USA. serrine.lau@wayne.edu. 13. Bio5 Institute, The University of Arizona, Tucson, AZ, USA. serrine.lau@wayne.edu. 14. Arizona Center for the Biology of Complex Disease, The University of Arizona, Tucson, AZ, USA. serrine.lau@wayne.edu.
Abstract
BACKGROUND: Proteomic approaches identifying biomarkers have been applied to asthma to only a very limited extent. METHODS: With an antibody array (RayBiotech, Norcross, GA, USA), the relative intensity and rank differences of 444 proteins were compared in 24 plasma samples obtained at age 3, 11 from children with and 12 without asthma diagnoses at ages 5 and 9. Protein candidates identified by antibody array were quantitated by ELISA in an enlarged sample. Proteins found to differentiate children with and without asthma were also examined for association with known Year 1 asthma risk factors, eczema, and wheeze. RESULTS: In the antibody array, four proteins had rank differences between asthma and non-asthma groups (FDR <0.1). By ELISA, mean log (±s.e.m.) erythropoietin (EPO) level (IU/l) was lower (0.750 ± 0.048 vs. 0.898 ± 0.035; p = 0.006) and mean (±s.e.m.) soluble GP130 (sGP130) level (ng/ml) was higher in the asthma vs. the non-asthma group (302 ± 13 vs. 270 ± 8; p = 0.041). The other 2 array proteins (galactin-3 and eotaxin-3) did not differ by ELISA by asthma. EPO related to the asthma risk factor, first year eczema, whereas sGP130 related to first year wheeze. CONCLUSIONS: Through two independent assessments, age 3 plasma levels of EPO and sGP130 were found related to childhood asthma.
BACKGROUND: Proteomic approaches identifying biomarkers have been applied to asthma to only a very limited extent. METHODS: With an antibody array (RayBiotech, Norcross, GA, USA), the relative intensity and rank differences of 444 proteins were compared in 24 plasma samples obtained at age 3, 11 from children with and 12 without asthma diagnoses at ages 5 and 9. Protein candidates identified by antibody array were quantitated by ELISA in an enlarged sample. Proteins found to differentiate children with and without asthma were also examined for association with known Year 1 asthma risk factors, eczema, and wheeze. RESULTS: In the antibody array, four proteins had rank differences between asthma and non-asthma groups (FDR <0.1). By ELISA, mean log (±s.e.m.) erythropoietin (EPO) level (IU/l) was lower (0.750 ± 0.048 vs. 0.898 ± 0.035; p = 0.006) and mean (±s.e.m.) soluble GP130 (sGP130) level (ng/ml) was higher in the asthma vs. the non-asthma group (302 ± 13 vs. 270 ± 8; p = 0.041). The other 2 array proteins (galactin-3 and eotaxin-3) did not differ by ELISA by asthma. EPO related to the asthma risk factor, first year eczema, whereas sGP130 related to first year wheeze. CONCLUSIONS: Through two independent assessments, age 3 plasma levels of EPO and sGP130 were found related to childhood asthma.
Authors: Aysefa Doganci; Tatjana Eigenbrod; Norbert Krug; George T De Sanctis; Michael Hausding; Veit J Erpenbeck; El-Bdaoui Haddad; Hans A Lehr; Edgar Schmitt; Tobias Bopp; Karl-J Kallen; Udo Herz; Steffen Schmitt; Cornelia Luft; Olaf Hecht; Jens M Hohlfeld; Hiroaki Ito; Norihiro Nishimoto; Kazuyuki Yoshizaki; Tadamitsu Kishimoto; Stefan Rose-John; Harald Renz; Markus F Neurath; Peter R Galle; Susetta Finotto Journal: J Clin Invest Date: 2005-02 Impact factor: 14.808
Authors: A L Sirén; M Fratelli; M Brines; C Goemans; S Casagrande; P Lewczuk; S Keenan; C Gleiter; C Pasquali; A Capobianco; T Mennini; R Heumann; A Cerami; H Ehrenreich; P Ghezzi Journal: Proc Natl Acad Sci U S A Date: 2001-03-20 Impact factor: 11.205
Authors: Wendy H Oddy; Marilyn Halonen; F D Martinez; I Carla Lohman; Debra A Stern; Margaret Kurzius-Spencer; Stefano Guerra; Anne L Wright Journal: J Allergy Clin Immunol Date: 2003-10 Impact factor: 10.793
Authors: Marilyn Halonen; I Carla Lohman; Debra A Stern; Whitney L Ellis; Janet Rothers; Anne L Wright Journal: Am J Respir Crit Care Med Date: 2013-07-01 Impact factor: 21.405
Authors: Michael Brines; Giovanni Grasso; Fabio Fiordaliso; Alessandra Sfacteria; Pietro Ghezzi; Maddalena Fratelli; Roberto Latini; Qiao-Wen Xie; John Smart; Chiao-Ju Su-Rick; Eileen Pobre; Deborah Diaz; Daniel Gomez; Carla Hand; Thomas Coleman; Anthony Cerami Journal: Proc Natl Acad Sci U S A Date: 2004-09-29 Impact factor: 11.205
Authors: Stephane Esnault; Mehdi Khosravi; Elizabeth A Kelly; Lin Ying Liu; Yury A Bochkov; Matthew C Tattersall; Nizar N Jarjour Journal: Clin Exp Allergy Date: 2021-02-02 Impact factor: 5.018