ArticleScientific reports2022
Integrative analysis to explore the biological association between environmental skin diseases and ambient particulate matter.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- An integrated resource for systems-level analysis of aging hallmarks and associated genes.Biogerontology · 2026Article
- Identification of hub genes involved in early-onset schizophrenia: from genetic susceptibility to predicted regulated gene expression.Molecular psychiatry · 2026Article
- AI-guided multi-omics analysis identifies NPC1-modulated susceptibility to SARS-CoV-2 infection under PMNature communications · 2026Article
- Shikonin-Loaded Nanoparticles Attenuate Particulate Matter-Induced Skin Injury by Inhibiting Oxidative Stress and Inflammation.Antioxidants (Basel, Switzerland) · 2025Article
- The Chronic Toxicity of Endocrine-Disrupting Chemical toInternational journal of molecular sciences · 2024Article
- Preventative Effects of Antioxidants against PMAntioxidants (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although numerous experimental studies have suggested a significant association between ambient particulate matter (PM) and respiratory damage, the etiological relationship between ambient PM and environmental skin diseases is not clearly understood. Here, we aimed to explore the association between PM and skin diseases through biological big data analysis. Differential gene expression profiles associated with PM and environmental skin diseases were retrieved from public genome databases. The co-expression among them was analyzed using a text-mining-based network analysis software. Activation/inhibition patterns from RNA-sequencing data performed with PM
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Registered trials
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.