Evidence map›Paper›PMID 37994393›Full record

ArticleThe journal of pathology. Clinical research2024

A novel telomere biology disease-associated gastritis identified through a whole exome sequencing-driven approach.

Namrata Setia, Daniela Del Gaudio, Priscilla Kandikatla, Kelly Arndt, Melissa Tjota, Peng Wang, Jeremy Segal, Mir Alikhan, John Hart

Abstract read
In one paragraph

Article in The journal of pathology. Clinical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Review
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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

9 authors.

Namrata SetiaDepartment of Pathology, University of Chicago, Chicago, IL, USA.ORCID 0000-0002-6060-4717
Daniela Del GaudioDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID 0000-0001-8318-6055
Priscilla KandikatlaDepartment of Human Genetics, University of Chicago, Chicago, IL, USA.
Kelly ArndtDepartment of Pathology, University of Chicago, Chicago, IL, USA.
Melissa TjotaDepartment of Pathology, University of Chicago, Chicago, IL, USA.
Peng WangDepartment of Pathology, University of Chicago, Chicago, IL, USA.
Jeremy SegalDepartment of Pathology, University of Chicago, Chicago, IL, USA.
Mir AlikhanNorthShore University Health System, Evanston, IL, USA.
John HartDepartment of Pathology, University of Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A whole exome sequencing (WES)-driven approach to uncover the etiology of unexplained inflammatory gastritides has been underutilized by surgical pathologists. Here, we discovered the pathobiology of an unusual chronic atrophic gastritis in two unrelated patients using this approach. The gastric biopsies were notable for an unusual pattern of gastritis with persistent dense inflammation, loss of both parietal and neuroendocrine cells in the oxyntic mucosa, and sparing of the antral mucosa. The patients were found to harbor pathogenic variants in telomeropathic genes (POT1 and DCLRE1B). Clonality testing for one of the patients showed evidence of evolving clonality of TCR-gene rearrangement. Both patients showed significantly decreased numbers of stem/progenitor cells by immunohistochemistry, which appears to be responsible for the development of mucosal atrophy. No such cases of unusual chronic atrophic gastritis in the setting of telomeropathy have been previously reported. The loss of stem/progenitor cells suggests that stem/progenitor cell exhaustion in the setting of telomere dysfunction is the likely mechanism for development of this unusual chronic atrophic gastritis. The results underscore the need for close monitoring of these gastric lesions, with special regard to their neoplastic potential. This combined WES-driven approach has promise to identify the cause and mechanism of other uncharacterized gastrointestinal inflammatory disorders.

Indexed as

GastritisGastritis, AtrophicBiologyBiopsyExodeoxyribonucleasesExome SequencingHumansDCLRE1B protein, humanExodeoxyribonucleasesatrophyDCLRE1BgastritisPOT1telomeropathywhole exome sequencing

Identifiers

PMID37994393
PMCPMC10766041

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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.