ReviewFrontiers in immunology2025
The gut-lung axis: a new perspective on the impact of atmospheric particulate matter exposure on chronic obstructive pulmonary disease.
Review in Frontiers in immunology, 2025. 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.
- Mitochondria Meet the Lung Microbiome: A Bidirectional Dialogue in Inflammation and Respiratory Diseases.Biomedicines · 2026Review
- Air pollution-induced airway epithelial barrier dysfunction in COPD: a narrative review of mechanisms and therapeutic implications.European respiratory review : an official journal of the European Respiratory Society · 2026Review
- Health Risk and Pathogenesis of PMToxics · 2026Review
- Perinatal exposure to gaseous pollutants and autism spectrum disorder in children: A nested case-control study in the nurses' health study ii cohort.Environmental science and pollution research international · 2026Article
- Targeting the gut-lung axis in COPD: from microbial metabolites to fecal microbiota transplantation.Frontiers in microbiology · 2026Review
- Gut Microbiota-Immune Interactions in Chronic Lung Diseases: An Emerging Cross-Disease Perspective Gut-Lung Axis in Chronic Lung Disease.Journal of inflammation research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Environmental pollution is a serious public health problem closely related to various chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD), bronchial asthma, and lung malignancies. Atmospheric particulate matter (PM) is an important component of environmental pollution, and its influence on COPD has been shown to be related to inflammation, oxidative stress, immune imbalance, abnormal cell death, and cell aging. A growing body of evidence has shown that an imbalance of the lung and intestinal microbiota, as well as changes in metabolites, is closely related to the occurrence and development of PM-induced COPD. PM exposure damages the respiratory system and alters the structure and activity of the gut microbiome. The metabolites produced by the gut microbiome, in turn, disrupt airway immunity and exacerbate respiratory inflammation. Therefore, the bidirectional influence of PM on the gut-lung axis has attracted widespread attention. This review explores the mechanisms by which PM causes oxidative stress damage to the lungs and intestines, as well as the characteristics of the resultant immune imbalance and changes in the microbiota and metabolite products. It also describes how PM disrupts barrier function through microecological imbalance and how it participates in the progression of COPD via the gut-lung axis. These mechanisms highlight the potential of targeting the microbial flora as a new approach for treating COPD caused by environmental pollution.
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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.