Evidence map›Paper›PMID 36827760›Full record

ReviewSeminars in immunology2023

Using mass spectrometry to identify neoantigens in autoimmune diseases: The type 1 diabetes example.

Cheryl F Lichti, Xiaoxiao Wan

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Cheryl F LichtiDepartment of Pathology and Immunology, Division of Immunobiology, The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, 660 S. Euclid Ave, Campus Box 8118, St. Louis, MO 63110, USA. Electronic address: clichti@wustl.edu.
Xiaoxiao WanDepartment of Pathology and Immunology, Division of Immunobiology, The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, 660 S. Euclid Ave, Campus Box 8118, St. Louis, MO 63110, USA. Electronic address: wanx@wustl.edu.
Washington University in St. Louis · US

Funding

WU P&FP30DK020579 · NIDDK · WASHINGTON UNIVERSITY · PI Clay F. Semenkovich · 2013 to 2026
$27.1M
The role of beta-cell crinophagy in generating diabetogenic neoepitopesR01DK134437 · NIDDK · WASHINGTON UNIVERSITY · PI Xiaoxiao Wan · 2023 to 2026
$2.4M
Autoimmune Diabetes: Macrophage ResponsesR01AI162591 · NIAID · WASHINGTON UNIVERSITY · PI Xiaoxiao Wan · 2022 to 2026
$2.3M
NIAID NIH HHS R01 AI162591NIDDK NIH HHS P30 DK020579NIDDK NIH HHS R01 DK134437
6 · The paper itself

Abstract

In autoimmune diseases, recognition of self-antigens presented by major histocompatibility complex (MHC) molecules elicits unexpected attack of tissue by autoantibodies and/or autoreactive T cells. Post-translational modification (PTM) may alter the MHC-binding motif or TCR contact residues in a peptide antigen, transforming the tolerance to self to autoreactivity. Mass spectrometry-based immunopeptidomics provides a valuable mechanism for identifying MHC ligands that contain PTMs and can thus provide valuable insights into pathogenesis and therapeutics of autoimmune diseases. A plethora of PTMs have been implicated in this process, and this review highlights their formation and identification.

Indexed as

Autoimmune DiseasesDiabetes Mellitus, Type 1HumansMass SpectrometryPeptidesT-LymphocytesPeptidesAntigen presentationAutoimmunityER stressImmunopeptidomicsNeoantigenOxidative stressType 1 diabetes

Identifiers

PMID36827760
PMCPMC10324092
OpenAlexW4321488295

What Socratic holds

Textmetadata
LicenceTDM
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.