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人体面部皮肤上的颗粒物驱动微生物群落的变异性。

Variability in Microbial Communities Driven by Particulate Matter on Human Facial Skin.

作者信息

Fu Kai, Zhou Qixing, Wang Heli

机构信息

School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China.

Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin Key Laboratory of Environmental Remediation and Pollution Control, Carbon Neutrality Interdisciplinary Science Centre/College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.

出版信息

Toxics. 2024 Jul 8;12(7):497. doi: 10.3390/toxics12070497.

Abstract

Microbial communities are known to play an important role in maintaining ecological balance and can be used as an indicator for assessing environmental pollution. Numerous studies have revealed that air pollution can alter the structure of microbial communities, which may increase health risks. Nevertheless, the relationships between microbial communities and particulate matter (PM) caused by air pollution in terms of health risk assessment are not well understood. This study aimed to validate the influences of PM chemical compositions on microbial communities and assess the associated health risks. Our results, based on similarity analysis, revealed that the stability structure of the microbial communities had a similarity greater than 73%. In addition, the altered richness and diversity of microbial communities were significantly associated with PM chemical compositions. Volatile organic compounds (VOCs) and polycyclic aromatic hydrocarbons (PAHs) exerted a positive influence on microbial communities in different environmental variables. Additionally, a stronger linear correlation was observed between hydroxyl radicals (·OH) and the richness of microbial communities. All estimated health risks from PM chemical compositions, calculated under different environmental variables, significantly exceeded the acceptable level by a factor of more than 49. Cr and 1,2-Dibromoethane displayed dual adverse effects of non-carcinogenic and carcinogenic risks. Overall, the study provides insights into the fundamental mechanisms of the variability in microbial communities driven by PM, which may support the crucial role of PM chemical compositions in the risk of microorganisms in the atmospheric environment.

摘要

众所周知,微生物群落对于维持生态平衡起着重要作用,并且可以用作评估环境污染的指标。众多研究表明,空气污染能够改变微生物群落的结构,这可能会增加健康风险。然而,在健康风险评估方面,微生物群落与空气污染所导致的颗粒物(PM)之间的关系尚未得到充分理解。本研究旨在验证PM化学成分对微生物群落的影响,并评估相关的健康风险。基于相似性分析,我们的结果表明,微生物群落的稳定结构相似度大于73%。此外,微生物群落丰富度和多样性的改变与PM化学成分显著相关。挥发性有机化合物(VOCs)和多环芳烃(PAHs)在不同环境变量下对微生物群落产生了积极影响。此外,羟基自由基(·OH)与微生物群落丰富度之间观察到更强的线性相关性。在不同环境变量下计算得出的所有PM化学成分估计健康风险显著超过可接受水平,超出因子超过49倍。铬和1,2 - 二溴乙烷表现出非致癌风险和致癌风险的双重不利影响。总体而言,该研究为PM驱动的微生物群落变异性的基本机制提供了见解,这可能支持PM化学成分在大气环境中微生物风险方面的关键作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e67b/11280976/3210e14533c3/toxics-12-00497-g001.jpg

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