Evidence map›Paper›PMID 32498698›Full record

ArticleParticle and fibre toxicology2020

Analysis of particles from hamster lungs following pulmonary talc exposures: implications for pathogenicity.

Erika Sato, Sandra A McDonald, Yuwei Fan, Shaina Peterson, Joseph D Brain, John J Godleski

Open access · goldAbstract read
In one paragraph

Article in Particle and fibre toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Animal models of silicosis: fishing for new therapeutic targets and treatments.European respiratory review : an official journal of the European Respiratory Society · 2023
    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 at 4 institutions in 2 countries.

Erika SatoPenn State DuBois, Pennsylvania State University, Dubois, PA, 15801, USA.
Sandra A McDonaldJohn J. Godleski MD PLLC, 304 Central Ave, Milton, MA, 02186, USA. sandram8690@gmail.com.ORCID 0000-0002-6241-0772
Yuwei FanGoldman School of Dental Medicine, Boston University, Boston, MA, 02118, USA.
Shaina PetersonJohn J. Godleski MD PLLC, 304 Central Ave, Milton, MA, 02186, USA.
Joseph D BrainDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
John J GodleskiJohn J. Godleski MD PLLC, 304 Central Ave, Milton, MA, 02186, USA.
Harvard University · USBoston University · USJohn Deere (Germany) · DEPennsylvania State University · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
NIEHS NIH HHS ES-00002NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

backgroundTalc, a hydrous magnesium silicate, often used for genital hygiene purposes, is associated with ovarian carcinoma in case-control studies. Its potential to cause inflammation, injury, and functional changes in cells has been described. A complication of such studies is that talc preparations may be contaminated with other materials. A previous study by (Beck et al. Toxicol Appl Pharmacol 87:222-34, 1987) used a hamster model to study talc and granite dust exposure effects on various biochemical and cellular inflammatory markers. Our current study accessed key materials used in that 1987 study; we re-analyzed the original talc dust with contemporary scanning electron microscopy and energy dispersive x-ray analysis (SEM/EDX) for contaminants. We also examined the original bronchoalveolar lavage (BAL) cells with polarized light microscopy to quantify cell-associated birefringent particles to gain insight into the talc used.

resultsSEM/EDX analyses showed that asbestos fibers, quartz, and toxic metal particulates were below the limits of detection in the original talc powder. However, fibers with aspect ratios ≥3:1 accounted for 22% of instilled material, mostly as fibrous talc. Talc (based on Mg/Si atomic weight % ratio) was the most abundant chemical signature, and magnesium silicates with various other elements made up the remainder. BAL cell counts confirmed the presence of acute inflammation, which followed intratracheal instillation. Measurements of cell associated birefringent particles phagocytosis revealed significant differences among talc, granite, and control exposures with high initial uptake of talc compared to granite, but over the 14-day experiment, talc phagocytosis by lavaged cells was significantly less than that of granite. Phagocytosis of talc fibers by macrophages was observed, and birefringent particles were found in macrophages, neutrophils, and multinucleate giant cells in lavaged cells from talc-exposed animals.

conclusionOur data support the contention that talc, even without asbestos and other known toxic contaminants, may elicit inflammation and contribute to lung disease. Our findings support the conclusions of (Beck et al. Toxicol Appl Pharmacol 87:222-34, 1987) study. By analyzing particulate exposures with polarized light microscopy and SEM/EDX, fibrous talc was identified and a distinctive pattern of impaired particulate ingestion was demonstrated.

Indexed as

AnimalsBronchoalveolar Lavage FluidCells, CulturedCricetinaeDustInhalation ExposureLungMacrophagesMagnesium SilicatesMaleMicroscopy, Electron, ScanningNeutrophilsParticle SizeQuartzSilicon DioxideSpectrometry, X-Ray EmissionDustFlorisilgraniteMagnesium SilicatesQuartzSilicon DioxideTalcDustFibersGraniteHamsterInflammationLungsPulmonary toxicityScanning electron microscopyTalc

Identifiers

PMID32498698
PMCPMC7271432
OpenAlexW3033262783

What OpenQuestion holds

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LicenceCC BY
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.