Cited by 455Air Quality and Health ImpactsSkin Protection and AgingDermatology and Skin Diseases

Air pollution and skin diseases: Adverse effects of airborne particulate matter on various skin diseases

Kim, Kyung Eun, Cho, Daeho, Park, Hyun Jeong·2016·Life Sciences

Abstract

Environmental air pollution encompasses various particulate matters (PMs). The increased ambient PM from industrialization and urbanization is highly associated with morbidity and mortality worldwide, presenting one of the most severe environmental pollution problems. This article focuses on the correlation between PM and skin diseases, along with related immunological mechanisms. Recent epidemiological studies on the cutaneous impacts of PM showed that PM affects the development and exacerbation of skin diseases. PM induces oxidative stress via production of reactive oxygen species and secretion of pro-inflammatory cytokines such as TNF-α, IL-1α, and IL-8. In addition, the increased production of ROS such as superoxide and hydroxyl radical by PM exposure increases MMPs including MMP-1, MMP-2, and MMP-9, resulting in the degradation of collagen. These processes lead to the increased inflammatory skin diseases and skin aging. In addition, environmental cigarette smoke, which is well known as an oxidizing agent, is closely related with androgenetic alopecia (AGA). Also, ultrafine particles (UFPs) including black carbon and polycyclic aromatic hydrocarbons (PAHs) enhance the incidence of skin cancer. Overall, increased PM levels are highly associated with the development of various skin diseases via the regulation of oxidative stress and inflammatory cytokines. Therefore, anti-oxidant and anti-inflammatory drugs may be useful for treating PM-induced skin diseases.

Integrity signals

Registry

Crossref · 10.1016/j.lfs.2016.03.039

Cites

98 of 98 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Pollutant-induced AhR signaling triggers inflammatory cascades, amplifying COX-2, TNF-α, IL-1α, IL-8, and prostaglandin E2.

    “Pollutant-induced AhR signaling also triggers inflammatory cascades, amplifying cyclooxygenase-2 (COX-2), tumor necrosis factor-α (TNF-α), interleukin (IL)-1α, IL-8, and prostaglandin E236.”

    From Air Pollution and Skin Diseases (2025) · cites this paper as [36]

  • Recent studies have provided growing evidence for the association between fine particulate matter (PM2.5) and the risk of skin cancer, including melanoma.

    “Recent studies have provided growing evidence for the association between fine particulate matter (PM2.5) and the risk of skin cancer, including melanoma [74,75,76,77].”
  • Gaseous pollutants such as NO2, SO2, or O3 may exert more acute effects on skin through oxidative damage, lipid reactions, and barrier damage, whereas PM may need chronic exposure or a longer contact duration to penetrate skin hair follicles and cause secondary inflammation.

    “Studies suggest that gaseous pollutants such as NO2, SO2, or O3 may exert a more acute effects on skin through oxidative damage, lipid reactions, and barrier damage, whereas PM may need chronic exposure or a longer contact duration to penetrate skin hair follicles and cause secondary inflammation [91–93].”
  • Studies based on similar populations, but with different periods, study designs and/or statistical analysis, obtained contrasting results.

    “Accordingly, studies based on similar populations, but with different periods, study designs and/or statistical analysis, obtained contrasting results [41, 44, 47, 53, 55, 61, 90, 91, 94, 95].”
  • Decreased skin barrier function and increased facial hyperpigmentation (lentigines) from ambient PMs are known to increase inflammatory skin diseases, ROS and MMPs that degrade collagen.

    “decreased skin barrier function and increased facial hyperpigmentation (lentigines) from ambient PMs that are known to increase inflammatory skin diseases, ROS and matrix metalloproteinases (MMPs) that degrade collagen [53][54][55][56][57]”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kim, K. E., Cho, D., & Park, H. J.
Affiliations
  • Sookmyung Women's University (KR)
  • The Catholic University of Korea Yeouido St. Mary's Hospital (KR)
Corresponding author
Park, Hyun Jeong
Venue
Life Sciences
Publisher
Elsevier BV
Published
2016-05
Volume
152
Pages
126-134
ISSN
0024-3205 (ISSN-L)
OpenAlex
W2308360335
Cited by
455
References
98
Citations by year
2026: 21 · 2025: 41 · 2024: 48 · 2023: 51 · 2022: 45 · 2021: 65 · 2020: 71 · 2019: 54 · 2018: 31 · 2017: 18 · 2016: 8
FWCI
4.10
Type
journal article
Language
en
Open access
closed
Locations
  • Life Sciences (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Ministry of Education, Science and Technology (2012R1A2A2A02046972)
  • National Research Foundation of Korea
Topics
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Air Quality and Health Impacts
  • Health Sciences › Medicine › Dermatology › Skin Protection and Aging
  • Health Sciences › Medicine › Dermatology › Dermatology and Skin Diseases
Keywords
air pollution, particulate matter, skin diseases, oxidative stress, reactive oxygen species, inflammatory cytokines, matrix metalloproteinases, collagen degradation, skin aging, cigarette smoke, androgenetic alopecia, ultrafine particles, black carbon, polycyclic aromatic hydrocarbons, skin cancer, anti-inflammatory agents, antioxidants
MeSH terms
Air Pollutants, Animals, Humans, Skin Diseases, Skin Neoplasms, Particulate Matter

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