Evidence map›Paper›PMID 40113924›Full record

ArticleScientific reports2025

CD206 and dust particles are prognostic biomarkers of progressive fibrosing interstitial lung disease associated with air pollutant exposure.

Aliaksei Kadushkin, Olga Yudina, Nastassia Lukashevich, Elena Davidovskaya, Vasyl Filanyuk, Volha Dziadzichkina, Xiaoming Cai

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. Article
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

7 authors.

Aliaksei KadushkinBelarusian State Medical University, Minsk, 220083, Belarus. kadushkyn@gmail.com.
Olga YudinaBelarusian State Medical University, Minsk, 220083, Belarus.
Nastassia LukashevichBelarusian State Medical University, Minsk, 220083, Belarus.
Elena DavidovskayaBelarusian State Medical University, Minsk, 220083, Belarus.
Vasyl FilanyukBelarusian State Medical University, Minsk, 220083, Belarus.
Volha DziadzichkinaBelarusian State Medical University, Minsk, 220083, Belarus.
Xiaoming CaiSchool of Public Health, Soochow University, Suzhou, 215123, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current management strategies for progressive fibrosing interstitial lung disease (PF-ILD) and non-PF-ILD differ significantly, underscoring the need for early identification of PF-ILD patients. We analyzed the expression of macrophage markers and the number of dust particles (DP) in lung tissue, as well as complete blood count and blood chemistry tests to identify biomarkers of PF-ILD, and examined the effect of certain pollutants on these biomarkers. Lung biopsies were collected from 73 non-PF-ILD patients and 36 PF-ILD patients. DP were quantified in alveolar wall cells (DP-aw) and desquamated epithelial cells (DP-desq) using polarizing light microscopy. Expression of CD206, transforming growth factor β1 (TGF-β1), connective tissue growth factor (CTGF), C-X-C motif ligand 13 (CXCL13), fibroblast growth factor 2 (FGF-2), tumor necrosis factor α (TNFα), and interleukin 1β (IL-1β) was assessed in lung tissue by immunohistochemistry. The numbers of DP-desq, pulmonary expression of CXCL13, IL-1β and CD206 were higher in ILD patients resided for ≥ 15 days per year in places with 24-hour ambient PM

Indexed as

Air PollutantsDustLectins, C-TypeLung Diseases, InterstitialReceptors, Cell SurfaceReceptors, ScavengerAgedBiomarkersFemaleHumansLungMaleMiddle AgedParticulate MatterPrognosisAir PollutantsBiomarkersDustLectins, C-TypeParticulate MatterReceptors, Cell SurfaceReceptors, ScavengerBiomarkersCD206CXCL13Dust particlesPM10 concentrationProgressive fibrosing interstitial lung disease

Identifiers

PMID40113924
PMCPMC11926179

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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.