Differential Contributions of Fibroblast Subpopulations to Intercellular Communication in Eosinophilic Esophagitis.

Tao Li, Matthew Salomon, Ling Shao, Atousa Khalatbari, Joshua D Castle, Anisa Shaker

Abstract read

In one paragraph

Article in Biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Immune functions of the esophagus.The Journal of allergy and clinical immunology · 2026
Review

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.

Tao LiSwallowing and Esophageal Disorders Center, Division of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine of USC, Los Angeles, CA 90089, USA.

Matthew SalomonResearch Center for Liver Diseases, Keck School of Medicine of USC, Los Angeles, CA 90089, USA.

Ling ShaoIndependent Researcher, Los Angeles, CA 90089, USA.ORCID 0000-0002-0285-9287

Atousa KhalatbariSwallowing and Esophageal Disorders Center, Division of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine of USC, Los Angeles, CA 90089, USA.

Joshua D CastleSwallowing and Esophageal Disorders Center, Division of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine of USC, Los Angeles, CA 90089, USA.

Anisa ShakerSwallowing and Esophageal Disorders Center, Division of Gastrointestinal and Liver Diseases, Department of Medicine, Keck School of Medicine of USC, Los Angeles, CA 90089, USA.

Funding

The role of human esophageal myofibroblasts in regulating the epithelial response in GERDR01DK118065 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHAKER, ANISA · 2019 to 2023

$1.8M

National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases R01DK118065 National Institutes of Health/National Institute of Diabetes and Digestive and Kidney Diseases R01DK118065NIDDK NIH HHS R01 DK118065

6 · The paper itself

Abstract

Fibroblast heterogeneity remains undefined in eosinophilic esophagitis (EoE), an allergic inflammatory disorder complicated by fibrosis. We utilized publicly available single-cell RNA sequencing data (GSE201153) of EoE esophageal biopsies to identify fibroblast sub-populations, related transcriptomes, disease status-specific pathways and cell-cell interactions. IL13-treated fibroblast cultures were used to model active disease. At least 2 fibroblast populations were identified, F_A and F_B. Several genes including

Indexed as

cell–cell communicationeosinophilic esophagitisfibroblastsfibroblast sub-populationspathway analysissingle-cell RNA sequencing data analysis

Identifiers

PMID39056656

DOI10.3390/biology13070461

PMCPMC11273487

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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.