Evidence map›Paper›PMID 40721095›Full record

ArticleMucosal immunology2025

Single cell transcriptional analysis of human adenoids identifies molecular features of airway microfold cells.

Samuel Alvarez-Arguedas, Khadijah Mazhar, Andi Wangzhou, Ishwarya Sankaranarayanan, Gabriela Gaona, John T Lafin, Ron B Mitchell, Theodore J Price, Michael U Shiloh

Erratum issuedAbstract read
In one paragraph

Article in Mucosal immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Samuel Alvarez-ArguedasDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.
Khadijah MazharSchool of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX 75080, USA; Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, TX 75080, USA.
Andi WangzhouSchool of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX 75080, USA; Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, TX 75080, USA.
Ishwarya SankaranarayananSchool of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX 75080, USA; Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, TX 75080, USA.
Gabriela GaonaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.
John T LafinDepartment of Urology, University Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Ron B MitchellDepartment of Otolaryngology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Theodore J PriceSchool of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX 75080, USA; Center for Advanced Pain Studies, University of Texas at Dallas, Richardson, TX 75080, USA.
Michael U ShilohDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA; Department of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA. Electronic address: Michael.Shiloh@utsouthwestern.edu.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Kathryn Ann O'Donnell · 2010 to 2026
$53.7M
Mechanistic underpinnings of chronic low back painU19NS130608 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI Diana Tavares Ferreira · 2022 to 2026
$13.6M
Human airway microfold cells in mucosal immunity to bacterial pathogensU01AI125939 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI SHILOH, MICHAEL · 2016 to 2020
$2.2M
Interaction of Mycobacterium tuberculosis with upper airway mucosal cellsR01AI184584 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI MICHAEL SHILOH · 2024 to 2026
$2.2M
NCI NIH HHS P30 CA142543NIAID NIH HHS R01 AI184584NIAID NIH HHS U01 AI125939NINDS NIH HHS U19 NS130608
6 · The paper itself

Abstract

The nasal, oropharyngeal, and bronchial mucosa are primary contact points for airborne pathogens like Mycobacterium tuberculosis (Mtb), SARS-CoV-2, and influenza virus. While mucosal surfaces can function as both entry points and barriers to infection, mucosa-associated lymphoid tissues (MALT) facilitate early immune responses to mucosal antigens. MALT contains a variety of specialized epithelial cells, including a rare cell type called a microfold cell (M cell) that functions to transport apical antigens to basolateral antigen-presenting cells, a crucial step in the initiation of mucosal immunity. M cells have been extensively characterized in the gastrointestinal (GI) tract in murine and human models. However, the precise development and functions of human airway M cells are unknown. Here, using single-nucleus RNA sequencing (snRNA-seq), we generated an atlas of cells from the human adenoid and identified 26 unique cell types representing basal, club, hillock, and hematopoietic lineages, defined their developmental trajectories, and determined cell-cell relationships. Using trajectory analysis, we found that human airway M cells develop from progenitor club cells and express a gene signature distinct from intestinal M cells. Surprisingly, we also identified a heretofore unknown epithelial cell type demonstrating a robust interferon-stimulated gene signature. Our analysis of human adenoid cells enhances our understanding of mucosal immune responses and the role of M cells in airway immunity. This work also provides a resource for understanding early interactions of pathogens with airway mucosa and a platform for development of mucosal vaccines.

Indexed as

AdenoidsCOVID-19Epithelial CellsRespiratory MucosaSARS-CoV-2Gene Expression ProfilingHumansImmunity, MucosalM CellsRNA-SeqSingle-Cell AnalysisTranscriptome

Identifiers

PMID40721095
PMCPMC12556950

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.