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Toxics
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The Effect of Airborne Contaminants Exposure on Early Health Damage...
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The Effect of Airborne Contaminants Exposure on Early Health Damage Biomarkers: 2nd Edition

A special issue of Toxics (ISSN 2305-6304). This special issue belongs to the section "Air Pollution and Health".

Deadline for manuscript submissions: closed (25 July 2025) | Viewed by 2911

Special Issue Editors

Prof. Dr. Shaowei Wu

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Guest Editor
Department of Occupational and Environmental Health, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xian 710061, China
Interests: air pollution; cardiovascular health; environmental epidemiology; epigenetics; mental health
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jun Yang

E-Mail Website
Guest Editor
School of Public Health, Guangzhou Medical University, Guangzhou 511436, China
Interests: climate change; air pollution; health risk assessment; environmental epidemiology; biostatistics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Shengzhi Sun

E-Mail Website
Guest Editor
School of Public Health, Capital Medical University, Beijing 100069, China
Interests: air pollution; climate change; risk assessment; environmental epidemiology; cohort
Special Issues, Collections and Topics in MDPI journals
Dr. Cong Liu

E-Mail Website
Guest Editor
School of Public Health, Fudan University, Shanghai 200437, China
Interests: environmental health

Special Issue Information

Dear Colleagues,

Air pollution is air contamination due to various airborne contaminants that are harmful to human health and are among the leading risk factors for disease burden globally. Exposure to airborne contaminants has been linked to a series of chronic diseases, including but not limited to cardiovascular, respiratory, mental, neurological, and reproductive diseases. It has been demonstrated that airborne contaminants could enter the body through the respiratory tract and circulatory system, cause complex internal cellular responses that are followed by biological effects, and lead to adverse health outcomes. The cellular responses and biological effects lie in the early stage of health damage by airborne contaminants. They could be reflected by changes in various biomarkers related to inflammation, oxidative stress, endothelial dysfunction, coagulation, autonomic imbalance, metabolic disorder, epigenetic modifications, etc. However, current studies are mainly based on cross-sectional or panel study design, limiting the convincing causal links between air pollution and biomarkers, and heterogeneity also exists among current evidence. The Special Issue aims to publish studies investigating the early health damage biomarkers and related mechanisms for the effect of airborne contaminants, particularly those from well-designed longitudinal research. Your contribution to the Special Issue is greatly appreciated and will greatly add to the existing literature.

Prof. Dr. Shaowei Wu
Prof. Dr. Jun Yang
Prof. Dr. Shengzhi Sun
Dr. Cong Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Toxics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • airborne contaminants
  • biomarkers
  • biological effects
  • cellular responses
  • chronic diseases
  • early health damage
  • mechanisms

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Related Special Issue

Published Papers (2 papers)

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Research

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14 pages, 1048 KiB  
Article
Impact of Seasonal PM2.5 Exposure on Metabolic and Hormonal Profiles in Healthy Individuals and Individuals with Metabolic Syndrome in Chiang Mai, Thailand
by Sharjeel Shakeel, Shamsa Sabir, Wason Parklak, Sawaeng Kawichai, Praporn Kijkuokool, Wiritphon Khiaolaongam, Pakaphorn Ngamsang, Putita Jiraya, Hataichanok Chuljerm, Puriwat Fakfum and Kanokwan Kulprachakarn
Toxics 2025, 13(8), 614; https://doi.org/10.3390/toxics13080614 - 23 Jul 2025
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Abstract
Exposure to fine particulate matter (PM2.5) is linked to metabolic dysfunction, yet evidence on its impact on hormonal regulation remains limited. This study examined seasonal changes in insulin, adiponectin, leptin, and HOMA-IR levels among healthy individuals and those with metabolic syndrome [...] Read more.
Exposure to fine particulate matter (PM2.5) is linked to metabolic dysfunction, yet evidence on its impact on hormonal regulation remains limited. This study examined seasonal changes in insulin, adiponectin, leptin, and HOMA-IR levels among healthy individuals and those with metabolic syndrome (MS) in Chiang Mai, Thailand. Fifty participants (25 healthy, 25 with MS) were assessed during high (February–April)- and low (May–July)-PM2.5 seasons. Insulin levels increased in healthy individuals (mean: 9.3 to 14.9 µIU/mL; p = 0.051) and decreased in participants with MS (22.0 to 13.7 µIU/mL; p = 0.214), with a significant interaction effect (p = 0.020). Leptin increased significantly in both groups, but more markedly in the MS group (p < 0.001), also with a significant interaction (p < 0.001). HOMA-IR rose significantly in healthy individuals (p = 0.036) but not in participants with MS. Adiponectin remained stable across groups and seasons. At baseline, the MS group had significantly higher rates of diabetes (p = 0.050), hypertension (p = 0.001), and hyperlipidemia (p = 0.049). These findings suggest that PM2.5 may influence metabolic and hormonal profiles, particularly in individuals with existing metabolic disorders. Full article
(This article belongs to the Special Issue The Effect of Airborne Contaminants Exposure on Early Health Damage Biomarkers: 2nd Edition)
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Review

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18 pages, 4221 KiB  
Review
Association Between Long-Term Exposure to Ambient Air Pollution and Fasting Blood Glucose: A Systematic Review and Meta-Analysis
by Tong Wu, Yang Lan, Ge Li, Kai Wang, Yu You, Jiaqi Zhu, Lihua Ren and Shaowei Wu
Toxics 2024, 12(11), 792; https://doi.org/10.3390/toxics12110792 - 30 Oct 2024
Cited by 1 | Viewed by 1906
Abstract
Increasing studies are indicating a potential association between ambient air pollution exposure and fasting blood glucose (FBG), an indicator of prediabetes and diabetes. However, there is inconsistency within the existing literature. The aim of this study was to summarize the associations of exposures [...] Read more.
Increasing studies are indicating a potential association between ambient air pollution exposure and fasting blood glucose (FBG), an indicator of prediabetes and diabetes. However, there is inconsistency within the existing literature. The aim of this study was to summarize the associations of exposures to particulate matters (PMs) (with aerodynamic diameters of ≤1 μm (PM1), ≤2.5 μm (PM2.5), and ≤10 μm (PM10), respectively) and gaseous pollutants (sulfur dioxide (SO2), nitrogen dioxide (NO2) and ozone (O3)) with FBG based on the existing epidemiological research for a better understanding of the relationship between air pollution and diabetes. Up to 2 July 2024, we performed a comprehensive literature retrieval from various electronic databases (PubMed, Web of Science, Scopus, and Embase). Random-effect and fixed-effect models were utilized to estimate the pooled percent changes (%) and 95% confidence intervals (CIs). Then, subgroup meta-analyses and meta-regression analyses were applied to recognize the sources of heterogeneity. There were 33 studies eligible for the meta-analysis. The results showed that for each 10 μg/m3 increase in long-term exposures to PM1, PM2.5, PM10, and SO2, the pooled percent changes in FBG were 2.24% (95% CI: 0.54%, 3.96%), 1.72% (95% CI: 0.93%, 2.25%), 1.19% (95% CI: 0.41%, 1.97%), and 0.52% (95% CI:0.40%, 0.63%), respectively. Long-term exposures to ambient NO2 and O3 were not related to alterations in FBG. In conclusion, our findings support that long-term exposures to PMs of various aerodynamic diameters and SO2 are associated with significantly elevated FBG levels. Full article
(This article belongs to the Special Issue The Effect of Airborne Contaminants Exposure on Early Health Damage Biomarkers: 2nd Edition)
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