ArticleExperimental and therapeutic medicine2019
Exposure to atmospheric pollutants is associated with alterations of gut microbiota in spontaneously hypertensive rats.
Article in Experimental and therapeutic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Implications of gut microbiota-mediated epigenetic modifications in intestinal diseases.Gut microbes · 2025Review
- Respiratory Exposure to Agriculture Dust Extract Alters Gut Commensal Species and Key Metabolites in Mice.Journal of applied toxicology : JAT · 2025Article
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- Effect of Dietary Addition ofAnimals : an open access journal from MDPI · 2025Article
- Environmental PMeGastroenterology · 2024Article
- Effect of aerobic exercise and particulate matter exposure duration on the diversity of gut microbiota.Animal cells and systems · 2024Article
- Increased expression of acyl-CoA oxidase 2 in the kidney with plasma phytanic acid and altered gut microbiota in spontaneously hypertensive rats.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Article
- Review
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atmospheric particulate matter with a diameter <2.5 µm (PM2.5) and pollution are worldwide environmental problems and may have negative effects on cardiovascular disease through the lung and gut. The dynamics of intestinal microflora in response to particulate pollutants is unclear. The present study investigated changes in the gut microbiota related to pollutant exposure using spontaneously hypertensive rats (SHR). DNA was extracted from fecal samples. Amplicon Generation and the quality control of PCR products were performed. PCR products was sequenced on an Illumina HiSeq 2500 platform. Data analysis included: operational taxonomic unit (OTU) clustering and species annotation, alpha diversity, beta diversity, principal coordinates analysis (PCoA), and the use of PICRUSt bioinformatics software. The microbial diversity of the SHR rats was inversely associated with exposure to pollutants. In terms of relative abundance, 24 bacterial genera and 2 genera in particular (
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Registered trials
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