Evidence map›Paper›PMID 39472954›Full record

ArticleRespiratory research2024

A novel Non-rodent animal model of hydrochloric acid-induced acute and chronic lung injury.

Pavel A Solopov, Ruben Manuel Luciano Colunga Biancatelli, Tierney Day, Christiana Dimitropoulou, John D Catravas

Abstract read
In one paragraph

Article in Respiratory 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

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

2 citing papers in PubMed.

  1. The long road to Ithaca: a physiologist's journey.American journal of physiology. Cell physiology · 2025
    Review
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Pavel A SolopovFrank Reidy Research Center in Bioelectrics, Old Dominion University, Norfolk, VA, USA. psolopov@odu.edu.
Ruben Manuel Luciano Colunga BiancatelliFrank Reidy Research Center in Bioelectrics, Old Dominion University, Norfolk, VA, USA.
Tierney DayFrank Reidy Research Center in Bioelectrics, Old Dominion University, Norfolk, VA, USA.
Christiana DimitropoulouFrank Reidy Research Center in Bioelectrics, Old Dominion University, Norfolk, VA, USA.
John D CatravasFrank Reidy Research Center in Bioelectrics, Old Dominion University, Norfolk, VA, USA.

Funding

Antidotes against HCI-induced chronic lung injuryU01ES030674 · NIEHS · OLD DOMINION UNIVERSITY · PI CATRAVAS, JOHN D · 2020 to 2022
$1.4M
NHLBI NIH HHS U01ES030674NIEHS NIH HHS U01 ES030674
6 · The paper itself

Abstract

Hydrochloric acid is one of the most prevalent and hazardous chemicals. Accidental spills occur in industrial plants or during transportation. Exposure to HCl can induce severe health impairment, including acute and chronic pulmonary diseases. We have previously described the molecular, structural, and functional aspects of the development of chronic lung injury and pulmonary fibrosis caused by intratracheal instillation of HCl in mice. Although mouse models of human disease have many advantages, rodents are evolutionary far from human and exhibit significant anatomical and physiological differences. Genetic and anatomic similarities between rabbits and humans are significantly higher. Rabbit models of HCl-induced lung injury have been used sparsely to evaluate acute lung injury. In this study, for the first time, we utilized rabbits as a model of HCl-induced pulmonary fibrosis and chronic lung injury. We present molecular, histological, and functional evidence that demonstrate the utility of using this model for studying new pharmaceutics against pulmonary fibrosis.

Indexed as

Disease Models, AnimalHydrochloric AcidPulmonary FibrosisAcute Lung InjuryAnimalsChronic DiseaseLungMaleRabbitsHydrochloric Acid

Identifiers

PMID39472954
PMCPMC11520517

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.