Evidence map›Paper›PMID 35649350›Full record

SynthesisCell reports2022

Serum autoantibodyome reveals that healthy individuals share common autoantibodies.

Mahasish Shome, Yunro Chung, Ramani Chavan, Jin G Park, Ji Qiu, Joshua LaBaer

Abstract readMeta-Analysis
In one paragraph

Synthesis in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
–field-weighted citation impact
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

43 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Distributed Clonal Deletion Prevents Autoimmune Disease Progression.bioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Do human B-1 lymphocytes truly exist?Frontiers in immunology · 2026
    Review
  14. The N-terminal region of malaria vaccine candidatebioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. A tumor-binding antibody with cross-reactivity to viral antigens.Cancer immunology, immunotherapy : CII · 2025
    Article
  19. Review
  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.

Mahasish ShomeVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Yunro ChungVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA; College of Health Solutions, Arizona State University, Phoenix, AZ, USA.
Ramani ChavanVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Jin G ParkVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Ji QiuVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA.
Joshua LaBaerVirginia G. Piper Center for Personalized Diagnostics, Biodesign Institute, Arizona State University, Tempe, AZ, USA. Electronic address: joshua.labaer@asu.edu.

Funding

Novel approaches to study immune responses to post translational modifications for cancer detectionU01CA214201 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI ANDERSON, KAREN SUE, LABAER, JOSHUA · 2016 to 2021
$2.6M
NCI NIH HHS U01 CA214201
6 · The paper itself

Abstract

Autoantibodies are a hallmark of both autoimmune disease and cancer, but they also occur in healthy individuals. Here, we perform a meta-analysis of nine datasets and focus on the common autoantibodies shared by healthy individuals. We report 77 common autoantibodies based on the protein microarray data obtained from probing 182 healthy individual sera on 7,653 human proteins and an additional 90 healthy individual sera on 1,666 human proteins. There is no gender bias; however, the number of autoantibodies increase with age, plateauing around adolescence. We use a bioinformatics pipeline to determine possible molecular-mimicry peptides that can contribute to the elicitation of these common autoantibodies. There is enrichment of intrinsic properties of proteins like hydrophilicity, basicity, aromaticity, and flexibility for common autoantigens. Subcellular localization and tissue-expression analysis reveal that several common autoantigens are sequestered from the circulating autoantibodies.

Indexed as

AutoantibodiesAutoimmune DiseasesAdolescentAutoantigensHumansProtein Array AnalysisSerumAutoantibodiesAutoantigensautoantibodiesautoimmunitybiomarkerCP: immunologymeta-analysisprotein microarray

Identifiers

PMID35649350
PMCPMC9221390

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.