Top-down Mass Spectrometry Analysis of Human Serum Autoantibody Antigen-Binding Fragments

dc.contributor.authorWang, Zhe
dc.contributor.authorLiu, Xiaowen
dc.contributor.authorMuther, Jennifer
dc.contributor.authorJames, Judith A.
dc.contributor.authorSmith, Kenneth
dc.contributor.authorWu, Si
dc.contributor.departmentBioHealth Informatics, School of Informatics and Computingen_US
dc.date.accessioned2019-07-29T17:55:01Z
dc.date.available2019-07-29T17:55:01Z
dc.date.issued2019-02-20
dc.description.abstractDetecting autoimmune diseases at an early stage is crucial for effective treatment and disease management to slow disease progression and prevent irreversible organ damage. In many autoimmune diseases, disease-specific autoantibodies are produced by B cells in response to soluble autoantigens due to defects in B cell tolerance mechanisms. Autoantibodies accrue early in disease development, and several are so disease-specific they serve as classification criteria. In this study, we established a high-throughput, sensitive, intact serum autoantibody analysis platform based on the optimization of a one dimensional ultra-high-pressure liquid chromatography top-down mass spectrometry platform (1D UPLC-TDMS). This approach has been successfully applied to a 12 standard monoclonal antibody antigen-binding fragment (Fab) mixture, demonstrating the feasibility to separate and sequence intact antibodies with high sequence coverage and high sensitivity. We then applied the optimized platform to characterize total serum antibody Fabs in a systemic lupus erythematosus (SLE) patient sample and compared it to healthy control samples. From this analysis, we show that the SLE sample has many dominant antibody Fab-related mass features unlike the healthy controls. To our knowledge, this is the first top-down demonstration of serum autoantibody pool analysis. Our proposed approach holds great promise for discovering novel serum autoantibody biomarkers that are of interest for diagnosis, prognosis, and tolerance induction, as well as improving our understanding of pathogenic autoimmune processes.en_US
dc.identifier.citationWang, Z., Liu, X., Muther, J., James, J. A., Smith, K., & Wu, S. (2019). Top-down Mass Spectrometry Analysis of Human Serum Autoantibody Antigen-Binding Fragments. Scientific reports, 9(1), 2345. doi:10.1038/s41598-018-38380-yen_US
dc.identifier.urihttps://hdl.handle.net/1805/20011
dc.language.isoen_USen_US
dc.publisherSpringer Natureen_US
dc.relation.isversionof10.1038/s41598-018-38380-yen_US
dc.relation.journalScientific Reportsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourcePMCen_US
dc.subjectAutoimmune diseasesen_US
dc.subjectDisease progressionen_US
dc.subjectOrgan damageen_US
dc.subjectB cellsen_US
dc.subjectAutoantibodiesen_US
dc.titleTop-down Mass Spectrometry Analysis of Human Serum Autoantibody Antigen-Binding Fragmentsen_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
41598_2018_Article_38380.pdf
Size:
3.13 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.99 KB
Format:
Item-specific license agreed upon to submission
Description: