Short-term exposure to air pollution might exacerbate autoimmune diseases
Open accessAbstract
Background: Mortality and cardiorespiratory diseases are well-documented effects of atmospheric pollutants. Because epigenetic mechanisms are identified as interaction factors between environmental exposures and gene expression, as well as pathogenic factors of impaired immune tolerance, it seems relevant to study autoimmune diseases in relation to air pollution. Methods: To study whether daily increases of particulate matter (PM 10, PM 2.5) and nitrogen dioxide (NO 2) are associated with exacerbations of autoimmune diseases, a total of 23,898 residents of Rome (Italy) who were diagnosed in 2003–2014 with Hashimoto thyroiditis, systemic lupus erythematosus, rheumatoid arthritis, psoriasis, and multiple sclerosis were enrolled. Exacerbations were defined as subsequent hospitalizations for the initial disease or its complications, or a different autoimmune disease, and as dose increases or time reductions between drug prescriptions for autoimmune diseases. Data were analyzed for 2006–2014. Daily concentrations of PM 10, PM 2.5, and NO 2 in Rome were available from a fixed monitoring network, during 2006–2014. A time-stratified case-crossover study was carried out. Results: All air pollutants were associated with more frequent changes than usual in treatment for all autoimmune diseases; the greatest increases in risk were observed for PM 2.5 (10 μg/m 3 increase) in thyroiditis (3.31% [2.21%, 4.2%]), lupus (3.55% [0.70%, 6.49%]), arthritis (4.93% [2.11%, 7.83%]), and psoriasis (4.04% [0.21%, 8.01%]). No associations were observed for hospitalizations for all studied diseases, whereas changes toward lower corticosteroids’ dose in multiple sclerosis and less effective corticosteroids’ forms in psoriasis were observed. Conclusions: PM 2.5 and NO 2 might exacerbate autoimmune diseases. As detected with treatment changes especially in younger patients.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Few studies, all from Italy, reported a positive and significant association between PM (PM10, PM2.5), NOx (NO2, NOx), and exacerbation of psoriasis symptoms.
“Few studies, all coming from Italy, analyzed the association between AP and disease severity for psoriasis and reported a positive and significant association between PM (PM10, PM2.5), NOx (NO2, NOx), and exacerbation of psoriasis symptoms [39, 65, 66].”
From Air Pollution and Skin Diseases: A Systematic Review of Epidemiological Evidence (2026) · cites this paper as [65]
The Methods and Results describe a Rome study and report statistically significant associations of PM2.5 and NO2 with treatment changes used to identify psoriasis exacerbations. The Results do not establish a positive association for PM10—the reported change in corticosteroid form has a negative estimate—and the study did not assess NOx separately from NO2. This paper alone also cannot establish that all the studies cited in the sentence came from Italy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 1
- [31]31. Angelici L, Piola M, Cavalleri T, et al. Effects of particulate matter exposure on multiple sclerosis hospital admission in Lombardy region, Italy.Environ Res20161456873 Cited HereCrossRefPubMedGoogle Scholar Keywords: Air pollution; Fine particles; Nitrogen dioxide; Autoimmune diseases; Short-term exacerbations; Hospitalizations; Treatment changes Supplemental Digital Content EE_2_3_2018_06_28_FAUSTINI_17-00020_SDC1.pdf (1.16 MB) Image Gallery Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of Environmental Epidemiology. All rights reserved. View full text | Download PDF Advertisement Related Articles Air Pollution Exposure Increases Risk of Autoimmune Diseases Emerging roles of air pollution and meteorological factors in autoimmune eye diseases Maternal Exposure to Air Pollution and Fetal Growth Autoimmune Diseases and Microplastic Pollution: Joining the Dots Particulate air pollution and constituents exacerbate 10-year ASCVD risk: estimating effects of hypothetical interventions Advertisement Readers Of this Article Also Read Sector-specific Long-term Associations Between Transportation, Industrial, and Residential Combustion Air Pollutant Mixtures (PM2.5 , SO2 , NO2 , O3 ) and Neurological Disease-related Mortality in Canada Excess risk of heat-related hospitalization associated with temperature and PM2.5 among older adults The association between total precipitation and diarrhea morbidity: A multicountry study across diverse climate zones Do we need flexible machine-learning algorithms to assess the effect of long-term exposure to fine particulate matter on mortality?: An example from a Canadian national cohort A good move for health?: Analyzing urban exposure trajectories of residential relocation and mental health in populations in Bradford Advertisement Most Popular There's no published content available here at the moment. Please check back again later. There's no published content available here at the moment. Please check back again later.
Cited by
Sorted by citations
Air Pollution and Skin Diseases: A Systematic Review of Epidemiological Evidence
Singh, N., Schikowski, T., & Krutmann, J. (2026) · American Journal of Clinical Dermatology · doi:10.1007/s40257-026-01006-5 · Cited by 4 · see citing works
“In terms of geographical coverage, the studies on the association between AP and psoriasis span from East Asia [63, 64] to Europe [34, 39, 65, 66] to the USA [67].”
Influential
- Authors
- Faustini, A., Renzi, M., Kirchmayer, U., Balducci, M., Davoli, M., & Forastiere, F.
- Affiliations
- Regione Lazio (IT)
- Corresponding author
- Faustini, Annunziata
- Venue
- Environmental Epidemiology
- Published
- 2018-09
- Volume
- 2
- Issue
- 3
- Pages
- e025
- ISSN
- 2474-7882 (ISSN-L)
- OpenAlex
- W2888220646
- Cited by
- 14
- References
- 0
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 1 · 2020: 2
- FWCI
- 0.37
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Environmental Epidemiology (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Indoor Air Quality and Microbial Exposure
- Health Sciences › Medicine › Physiology › Asthma and respiratory diseases
- Keywords
- air pollution, autoimmune disease, particulate matter PM2.5, PM10, nitrogen dioxide, disease exacerbation, Hashimoto's thyroiditis, systemic lupus erythematosus, rheumatoid arthritis, psoriasis, multiple sclerosis, corticosteroid therapy, hospitalization, Rome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review