Evidence map›Paper›PMID 30787393›Full record

ArticleScientific reports2019

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

Zhe Wang, Xiaowen Liu, Jennifer Muther, Judith A James, Kenneth Smith, Si Wu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Top-Down and Middle-Down Mass Spectrometry of Antibodies.Molecular & cellular proteomics : MCP · 2025
    Review
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  10. CXCR5Frontiers in medicine · 2022
    Review
  11. RPLC-RPLC-MS/MS for Proteoform Identification.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 1 country.

Zhe WangDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA.ORCID 0000-0002-5316-5584
Xiaowen LiuDepartment of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA.
Jennifer MutherDepartment of Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA.
Judith A JamesDepartment of Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA.
Kenneth SmithDepartment of Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, Oklahoma City, OK, 73104, USA. smithk@omrf.org.
Si WuDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, 73019, USA. si.wu@ou.edu.ORCID 0000-0002-6346-7359
Oklahoma Medical Research Foundation · USIndiana University – Purdue University Indianapolis · USOklahoma City University · USUniversity of Oklahoma · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Robert Hal Scofield · 2013 to 2026
$68.2M
Defining the role of altered cytokine signaling pathways on autoimmunityU01AI101990 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI BUCKNER, JANE HOYT · 2012 to 2016
$12.1M
SNP Confirmation and High Throughput Genotyping CoreP30AR053483 · NIAMS · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI GUTHRIDGE, JOEL MARVIN · 2007 to 2017
$6.7M
Pre-Clinical Studies to Identify SLE Therapeutic TargetsU19AI082714 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI JAMES, JUDITH A · 2009 to 2018
$6.2M
Computational tools for top down mass spectrometry based proteoform identification and proteogenomicsR01GM118470 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Xiaowen Liu · 2016 to 2026
$2.7M
Understanding early events in lupus autoimmunity to aid preventionU01AI101934 · NIAID · OKLAHOMA MEDICAL RESEARCH FOUNDATION · PI JAMES, JUDITH A · 2012 to 2016
$2.3M
Quantitative Analysis of Serum Autoantibody Repertories in Systemic Lupus ErythematosusR01AI141625 · NIAID · UNIVERSITY OF OKLAHOMA · PI SINGH, SHANTERI, SMITH, KENNETH MICHAEL · 2019 to 2023
$2.1M
NIAID NIH HHS R01 AI141625NIAID NIH HHS U01 AI101934NIAID NIH HHS U01 AI101990NIAID NIH HHS U19 AI082714NIAMS NIH HHS P30 AR053483NIGMS NIH HHS R01 GM118470NIGMS NIH HHS U54 GM104938
6 · The paper itself

Abstract

Detecting 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.

Indexed as

Adaptive ImmunityAntibodies, MonoclonalAutoantibodiesAutoantigensBiomarkersB-LymphocytesChromatography, High Pressure LiquidHigh-Throughput Screening AssaysHumansImmunoglobulin Fab FragmentsLupus Erythematosus, SystemicTandem Mass SpectrometryAntibodies, MonoclonalAutoantibodiesAutoantigensBiomarkersImmunoglobulin Fab Fragments

Identifiers

PMID30787393
PMCPMC6382847
OpenAlexW2918082626

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.