Evidence map›Paper›PMID 41513858›Full record

ArticleScientific reports2026

Epithelial remodeling and microbial dysbiosis in the lower respiratory tract of vitamin A-deficient mouse lungs.

Kiloni R Quiles, Feng-Zhi Shao, W Evan Johnson, Felicia Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

  1. Vitamin A and Its Related Diseases.Food science & nutrition · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Kiloni R QuilesNew Jersey Medical School, Division of Infectious Disease, Department of Medicine, Rutgers University, New Brunswick, USA.
Feng-Zhi ShaoPulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
W Evan JohnsonNew Jersey Medical School, Division of Infectious Disease, Department of Medicine, Rutgers University, New Brunswick, USA.
Felicia ChenPulmonary Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA. felichen@bu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The World Health Organization identified vitamin A deficiency (VAD) as a major public health issue in low-income communities and developing countries, while additional studies have shown dietary VAD leads to various lung pathologies. Once believed to be sterile, research now shows that transient microbial communities exist within healthy lungs and are often dysregulated in patients suffering from malnourishment, respiratory infections, and disease. The inability to parse vitamin A-mediated mechanisms from other metabolic mechanisms in humans with pathogenic endotypes, as well as the lack of data investigating how VAD affects the lung microbiome, remains a significant gap in the field. To address this unmet need, we compared molecular, metatranscriptomic, and morphometric data to identify how dietary VAD affects the lung as well as the lung microbiome. Our research shows structural and functional alterations in host-microbe-diet interactions in VAD lungs compared to vitamin A-sufficient (VAS) lungs; these changes are associated with epithelial remodeling, a breakdown in mucociliary clearance, microbial imbalance, and altered microbial colonization patterns after 8 weeks of vitamin A deficient diet. These findings confirm vitamin A is critical for lung homeostasis and provide mechanistic insights that could be valuable for the prevention of respiratory infections and disease.

Indexed as

DysbiosisLungVitamin A DeficiencyAnimalsFemaleMaleMiceMicrobiotaVitamin AVitamin A

Identifiers

PMID41513858
PMCPMC12868735

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.