Evidence map›Paper›PMID 36980324›Full record

ReviewDiagnostics (Basel, Switzerland)2023

IgG N-glycan Signatures as Potential Diagnostic and Prognostic Biomarkers.

Benjamin S Haslund-Gourley, Brian Wigdahl, Mary Ann Comunale

Open access · goldFull text readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Glycosylation profile ofiScience · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data.International journal of molecular sciences · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Immunoglobulin GFrontiers in immunology · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  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

3 authors at 1 institution in 1 country.

Benjamin S Haslund-GourleyDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA 19129, USA.ORCID 0000-0002-8488-0759
Brian WigdahlDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA 19129, USA.ORCID 0000-0002-5211-0936
Mary Ann ComunaleDepartment of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA 19129, USA.ORCID 0000-0003-2056-8915
Institute for Molecular Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IgG N-glycans are an emerging source of disease-specific biomarkers. Over the last decade, the continued development of glycomic databases and the evolution of glyco-analytic methods have resulted in increased throughput, resolution, and sensitivity. IgG N-glycans promote adaptive immune responses through antibody-dependent cellular cytotoxicity (ADCC) and complement activation to combat infection or cancer and promote autoimmunity. In addition to the functional assays, researchers are examining the ability of protein-specific glycosylation to serve as biomarkers of disease. This literature review demonstrates that IgG N-glycans can discriminate between healthy controls, autoimmune disease, infectious disease, and cancer with high sensitivity. The literature also indicates that the IgG glycosylation patterns vary across disease state, thereby supporting their role as specific biomarkers. In addition, IgG N-glycans can be collected longitudinally from patients to track treatment responses or predict disease reoccurrence. This review focuses on IgG N-glycan profiles applied as diagnostics, cohort discriminators, and prognostics. Recent successes, remaining challenges, and upcoming approaches are critically discussed.

Indexed as

diagnosticglycopeptideglycosylationIgGimmunoglobulin GN-glycanprognostic

Identifiers

PMID36980324
PMCPMC10047871
OpenAlexW4323568716

What Socratic holds

Textfull text, public
LicenceCC BY
measurements read32
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.