OBJECTIVE: Sjögren’s syndrome (SS) is a systemic autoimmune disease with a variety of presenting symptoms that may delay its diagnosis. We previously discovered a number of candidate salivary biomarkers for primary SS using both mass spectrometry and expression microarray analysis. In the current study, we aimed to verify these candidate biomarkers in independent patient populations and to evaluate their predictive values for primary SS detection. METHODS: In total, 34 patients with primary SS, 34 patients with systemic lupus erythematosus (SLE), and 34 healthy individuals were enrolled for the validation studies. Salivary protein biomarkers were measured using either Western blotting or enzyme-linked immunosorbent assay, and the messenger RNA (mRNA) biomarkers were measured using quantitative polymerase chain reaction. Statistical analysis was performed using R software, version 2.9. RESULTS: Three protein biomarkers (cathepsin D [CPD], α-enolase, and ß₂-microglobulin [ß₂m]) and 3 mRNA biomarkers (myeloid cell nuclear differentiation antigen [MNDA], guanylate binding protein 2 [GBP-2], and low-affinity IIIb receptor for the Fc fragment of IgG) were significantly elevated in patients with primary SS compared with both SLE patients and healthy controls. The combination of 3 protein biomarkers, CPD, α-enolase, and ß₂m, yielded a receiver operating characteristic (ROC) value of 0.99 in distinguishing primary SS from healthy controls. The combination of protein biomarkers ß₂m and 2 mRNA biomarkers, MNDA and GBP-2, reached an ROC of 0.95 in discriminating primary SS from SLE. CONCLUSION: We have successfully verified a panel of protein and mRNA biomarkers that can discriminate primary SS from both SLE and healthy controls. If further validated in patients with primary SS and those with sicca symptoms but no autoimmune disease, these biomarkers may lead to a simple yet highly discriminatory clinical tool for diagnosis of primary SS.
OBJECTIVE: Sjögren’s syndrome (SS) is a systemic autoimmune disease with a variety of presenting symptoms that may delay its diagnosis. We previously discovered a number of candidate salivary biomarkers for primary SS using both mass spectrometry and expression microarray analysis. In the current study, we aimed to verify these candidate biomarkers in independent patient populations and to evaluate their predictive values for primary SS detection. METHODS: In total, 34 patients with primary SS, 34 patients with systemic lupus erythematosus (SLE), and 34 healthy individuals were enrolled for the validation studies. Salivary protein biomarkers were measured using either Western blotting or enzyme-linked immunosorbent assay, and the messenger RNA (mRNA) biomarkers were measured using quantitative polymerase chain reaction. Statistical analysis was performed using R software, version 2.9. RESULTS: Three protein biomarkers (cathepsin D [CPD], α-enolase, and ß₂-microglobulin [ß₂m]) and 3 mRNA biomarkers (myeloid cell nuclear differentiation antigen [MNDA], guanylate binding protein 2 [GBP-2], and low-affinity IIIb receptor for the Fc fragment of IgG) were significantly elevated in patients with primary SS compared with both SLEpatients and healthy controls. The combination of 3 protein biomarkers, CPD, α-enolase, and ß₂m, yielded a receiver operating characteristic (ROC) value of 0.99 in distinguishing primary SS from healthy controls. The combination of protein biomarkers ß₂m and 2 mRNA biomarkers, MNDA and GBP-2, reached an ROC of 0.95 in discriminating primary SS from SLE. CONCLUSION: We have successfully verified a panel of protein and mRNA biomarkers that can discriminate primary SS from both SLE and healthy controls. If further validated in patients with primary SS and those with sicca symptoms but no autoimmune disease, these biomarkers may lead to a simple yet highly discriminatory clinical tool for diagnosis of primary SS.
Authors: C Vitali; S Bombardieri; R Jonsson; H M Moutsopoulos; E L Alexander; S E Carsons; T E Daniels; P C Fox; R I Fox; S S Kassan; S R Pillemer; N Talal; M H Weisman Journal: Ann Rheum Dis Date: 2002-06 Impact factor: 19.103
Authors: Zhanzhi Hu; Bernhard G Zimmermann; Hui Zhou; Jianghua Wang; Bradley S Henson; Weixia Yu; David Elashoff; Guido Krupp; David T Wong Journal: Clin Chem Date: 2008-03-20 Impact factor: 8.327
Authors: J Pijpe; J M Meijer; H Bootsma; J E van der Wal; F K L Spijkervet; C G M Kallenberg; A Vissink; S Ihrler Journal: Arthritis Rheum Date: 2009-11
Authors: Shen Hu; Arjan Vissink; Martha Arellano; Caroline Roozendaal; Hui Zhou; Cees G M Kallenberg; David T Wong Journal: Proteomics Date: 2011-03-17 Impact factor: 3.984
Authors: Yong Zhang; Jie Sun; Feng Li; Tristan R Grogan; Jose L Vergara; QingXian Luan; Moon-Soo Park; David Chia; David Elashoff; Kaumudi J Joshipura; David T W Wong Journal: Diabetes Res Clin Pract Date: 2017-07-19 Impact factor: 5.602
Authors: Karolina Elzbieta Kaczor-Urbanowicz; Yong Kim; Feng Li; Timur Galeev; Rob R Kitchen; Mark Gerstein; Kikuye Koyano; Sung-Hee Jeong; Xiaoyan Wang; David Elashoff; So Young Kang; Su Mi Kim; Kyoung Kim; Sung Kim; David Chia; Xinshu Xiao; Joel Rozowsky; David T W Wong Journal: Bioinformatics Date: 2018-01-01 Impact factor: 6.937
Authors: Kiran S Ambatipudi; Stephen Swatkoski; James J Moresco; Patricia G Tu; Andreea Coca; Jennifer H Anolik; Marjan Gucek; Igñacio Sanz; John R Yates; James E Melvin Journal: Proteomics Date: 2012-09-10 Impact factor: 3.984