Evidence map›Paper›PMID 28893276›Full record

ArticleParticle and fibre toxicology2017

Imipramine blocks acute silicosis in a mouse model.

Rupa Biswas, Kevin L Trout, Forrest Jessop, Jack R Harkema, Andrij Holian

Open access · goldAbstract read
In one paragraph

Article in Particle and fibre toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

28 citing papers in PubMed, 45 citations in OpenAlex.

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  8. Animal models of silicosis: fishing for new therapeutic targets and treatments.European respiratory review : an official journal of the European Respiratory Society · 2023
    Review
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  15. Review
  16. Macrophage fusion caused by particle instillation.Current research in toxicology · 2020
    Article
  17. Article
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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

5 authors at 2 institutions in 1 country.

Rupa BiswasCenter for Environmental Health Sciences, Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, MT, 59812, USA.
Kevin L TroutCenter for Environmental Health Sciences, Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, MT, 59812, USA.
Forrest JessopCenter for Environmental Health Sciences, Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, MT, 59812, USA.
Jack R HarkemaDepartment of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, 48824, USA.
Andrij HolianCenter for Environmental Health Sciences, Department of Biomedical and Pharmaceutical Sciences, University of Montana, Missoula, MT, 59812, USA. andrij.holian@umontana.edu.
Center for Environmental Health · USMichigan State University · US

Funding

THE ROLE OF PULMONARY SUBPOPULATIONS AND TH2 IMMUNITY IN BALB/C SILICOSIS MODELP20RR017670 · NCRR · UNIVERSITY OF MONTANA · PI WETZEL, SCOTT A · 2002 to 2011
$22.0M
Molecular Histology and Fluorescent ImagingP30GM103338 · NIGMS · UNIVERSITY OF MONTANA · PI HOLIAN, ANDRIJ · 2013 to 2017
$5.6M
Defining the roles of macrophages subsets and NK lymphocytes in silicosisR01ES015294 · NIEHS · UNIVERSITY OF MONTANA · PI HOLIAN, ANDRIJ · 2007 to 2011
$1.6M
NCRR NIH HHS P20 RR017670NIEHS NIH HHS R01 ES015294NIGMS NIH HHS P30 GM103338
6 · The paper itself

Abstract

backgroundInhalation of crystalline silica is associated with pulmonary inflammation and silicosis. Although silicosis remains a prevalent health problem throughout the world, effective treatment choices are limited. Imipramine (IMP) is a FDA approved tricyclic antidepressant drug with lysosomotropic characteristics. The aim of this study was to evaluate the potential for IMP to reduce silicosis and block phagolysosome membrane permeabilization.

methodsC57BL/6 alveolar macrophages (AM) exposed to crystalline silica ± IMP in vitro were assessed for IL-1β release, cytotoxicity, particle uptake, lysosomal stability, and acid sphingomyelinase activity. Short term (24 h) in vivo studies in mice instilled with silica (± IMP) evaluated inflammation and cytokine release, in addition to cytokine release from ex vivo cultured AM. Long term (six to ten weeks) in vivo studies in mice instilled with silica (± IMP) evaluated histopathology, lung damage, and hydroxyproline content as an indicator of collagen accumulation.

resultsIMP significantly attenuated silica-induced cytotoxicity and release of mature IL-1β from AM in vitro. IMP treatment in vivo reduced silica-induced inflammation in a short-term model. Furthermore, IMP was effective in blocking silica-induced lung damage and collagen deposition in a long-term model. The mechanism by which IMP reduces inflammation was explored by assessing cellular processes such as particle uptake and acid sphingomyelinase activity.

conclusionsTaken together, IMP was anti-inflammatory against silica exposure in vitro and in vivo. The results were consistent with IMP blocking silica-induced phagolysosomal lysis, thereby preventing cell death and IL-1β release. Thus, IMP could be therapeutic for silica-induced inflammation and subsequent disease progression as well as other diseases involving phagolysosomal lysis.

Indexed as

Acute DiseaseAnimalsCells, CulturedCell SurvivalCollagenDisease Models, AnimalImipramineInhalation ExposureInterleukin-1betaIntracellular MembranesMacrophages, AlveolarMice, Inbred C57BLPermeabilityPhagosomesSilicon DioxideSilicosisCollagenImipramineInterleukin-1betaSilicon DioxideSphingomyelin PhosphodiesteraseImipramineInflammationLysosomeMacrophageParticlesSilicaSilicosisToxicology

Identifiers

PMID28893276
PMCPMC5594487
OpenAlexW2755569746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.