Article
Environmental Sciences
Gongbo Chen, Yingxin Li, Yun Zhou, Chunxiang Shi, Yuming Guo, Yuewei Liu
Summary: A non-AOD random forest model was developed in this study to estimate daily PM2.5 concentrations in Guangdong Province, China, where over 80% of AOD data were missing. The predictive performance of the non-AOD model was found to be similar to that of an AOD-based model, making it suitable for epidemiological studies at a high resolution.
ENVIRONMENTAL RESEARCH
(2021)
Article
Environmental Sciences
Lujun Lin, Yongchun Liang, Lei Liu, Yang Zhang, Danni Xie, Fang Yin, Tariq Ashraf
Summary: This study accurately estimated the ground-level PM2.5 pollution in Guanzhong Urban Agglomeration (GUA) using the RF-XGBoost model, and analyzed its variations. The results showed that GUA had the highest PM2.5 pollution in 2018 and 2019, but there was a decrease in 2019 compared to the previous year. However, more than 65% of the study area still had mean PM2.5 concentrations higher than the standard value in the winter of 2019, indicating a grim air pollution situation.
Article
Environmental Sciences
Chau-Ren Jung, Wei-Ting Chen, Shoji F. Nakayama
Summary: A satellite-based model was developed in Japan to accurately estimate PM2.5 concentrations, with high accuracy confirmed through ten-fold cross-validation and AERONET site validation. The model showed excellent performance, indicating reliable and accurate estimates for assessing the health impacts of PM2.5 in epidemiological studies.
Article
Environmental Sciences
Pimchanok Wongnakae, Pakkapong Chitchum, Rungduen Sripramong, Arthit Phosri
Summary: This study accurately estimated ground-level PM2.5 concentration in the Northern region of Thailand in 2021 using a random forest model integrated with satellite data, meteorological factors, and land use data. The normalized difference vegetation index, relative humidity, and number of fire hotspots were identified as the three most important predictors for estimating PM2.5 concentration. These findings can be further utilized in epidemiological studies to investigate the health effects of PM2.5 exposure, even in unmonitored locations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Jing Lu, Yuhu Zhang, Mingxing Chen, Lu Wang, Shaohua Zhao, Xiao Pu, Xuegang Chen
Summary: Using satellite observations to estimate PM2.5 concentrations is feasible for monitoring air pollution, with a Random Forest model performing well in studying the long-term spatiotemporal variations of PM2.5 concentrations in the Beijing-Tianjin-Hebei region and its surrounding areas. The study found a decreasing trend in PM2.5 concentrations from 2002 to 2018, with the worst pollution occurring in winter and a U-shaped pattern in monthly concentrations.
Article
Environmental Sciences
Weihuan He, Huan Meng, Jie Han, Gaohui Zhou, Hui Zheng, Songlin Zhang
Summary: This study used the MAIAC aerosol products and GBDT algorithm to retrieve PM2.5 concentration across China from 2015 to 2020 at a resolution of 1 km, achieving excellent performance. Overall, PM2.5 pollution in China showed a downward trend during the study period, with the greatest decrease observed in the Beijing-Tianjin-Hebei region. The results indicate significant improvement in the atmospheric environment, with an increase in areas meeting the national air quality standard.
Article
Meteorology & Atmospheric Sciences
Qingqing He, Weihang Wang, Yimeng Song, Ming Zhang, Bo Huang
Summary: Investigating the spatiotemporal variations of atmospheric aerosols is important for climate change and environmental research. This study developed an adaptive spatiotemporal imputation model for aerosol optical depth (AOD) using the MAIAC algorithm and multisource data, aiming to support full-coverage aerosol studies in China. The proposed approach effectively captured the massive spatiotemporal variability and delivered high-accuracy full-coverage AODs. The imputed AODs showed better representativeness and revealed underestimation in the original satellite-retrieved AODs, especially during summer and over the North China Plain.
ATMOSPHERIC RESEARCH
(2023)
Article
Computer Science, Information Systems
Junchen He, Zhili Jin, Wei Wang, Yixiao Zhang
Summary: A new STBT model was proposed in this study to accurately map PM2.5 concentrations across China in 2018. The model showed superior performance compared to traditional linear regression and linear mixed-effect models, indicating its importance for air pollution monitoring.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Environmental Sciences
Qian Cui, Feng Zhang, Shaoyun Fu, Xiaoli Wei, Yue Ma, Kun Wu
Summary: This study utilized high spatial-temporal resolution AOD data to estimate ground PM2.5 concentration through DBN algorithm, achieving better results than the original DBN. The final high-quality data can be applied for urban air quality monitoring and related PM2.5 exposure risk assessment, such as wildfires.
Article
Environmental Sciences
Shikang Guan, Xiaotong Zhang, Wenbo Zhao, Yanjun Duan, Shuyue Yang, Yunjun Yao, Kun Jia
Summary: A similarity distance-based space-time random forest model has been developed to estimate PM2.5 concentrations in China, which shows high and stable accuracy through rigorous validation. The model incorporates similarity distance to account for spatial-temporal heterogeneity and has the potential to outperform other space-time models.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Suhaimee Buya, Sasiporn Usanavasin, Hideomi Gokon, Jessada Karnjana
Summary: This study develops a model using satellite data to estimate daily PM2.5 concentrations in small regions of Thailand due to limited ground station data. Multiple linear regression and three machine learning models are used, and the random forest model performs the best. The model incorporates various factors and shows high accuracy in estimating PM2.5.
Article
Green & Sustainable Science & Technology
Xingyu Li, Long Li, Longgao Chen, Ting Zhang, Jianying Xiao, Longqian Chen
Summary: The Huaihai Economic Zone has experienced serious air pollution, particularly PM2.5, over the past two decades. This study utilized various data sources and a random forest regression model to estimate the daily PM2.5 concentration in the area from 2000 to 2020. The results showed a decreasing trend in PM2.5 concentration overall, with the lake areas of the Zone experiencing the most significant decrease.
Article
Environmental Sciences
Fangwen Bao, Kai Huang, Shengbiao Wu
Summary: This study proposes a random forest (RF) model driven by a differential operator for aerosol retrieval from geostationary satellite Himawari-8. The model establishes a linear relationship between aerosol optical depth (AOD) and top-of-atmosphere (TOA) reflectance enhancement. It achieves simultaneous retrievals over different surfaces and maintains mathematical correlation between spectral AODs and Angstrom Exponents (AE). The proposed method improves the performance of RF in retrieving aerosol properties and offers a new prospect for aerosol remote sensing.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Computer Science, Interdisciplinary Applications
Weitian Tong, Jordan Limperis, Felix Hamza-Lup, Yao Xu, Lixin Li
Summary: This study introduces a novel Transformer-based model called TSPPM25 for spatiotemporal prediction of PM2.5 levels. By leveraging multiple data embedding techniques and attention layers, TSPPM25 effectively captures the intricate spatiotemporal relationships in multivariate data. The results demonstrate that TSPPM25 outperforms other models, exhibiting superior spatiotemporal learning capabilities even in complex scenarios characterized by mixed wave patterns.
EARTH SCIENCE INFORMATICS
(2023)
Article
Environmental Sciences
Xinyu Yu, Mengzhu Xi, Liyang Wu, Hui Zheng
Summary: This study constructed an STW-LightGBM model considering the spatiotemporal characteristics of air pollution and estimated the PM2.5 concentration of China's surface at 1 km resolution from 2015 to 2020. The model performed well with fitting accuracy above 0.85 at different time scales and an average regression slope of 0.9 annually. The results showed improvement in PM2.5 pollution from 2015 to 2020 with a decrease in average concentration and a consistent distribution of elevated PM2.5 levels in certain regions.
Article
Environmental Sciences
Qiuyue Zhao, Wei Zhao, Jun Bi, Zongwei Ma
Summary: This study analyzed the PM2.5 components in China using MERRA-2 data, revealing a significant decrease in BC, OC, and sulfate pollution levels after 2007. Additionally, a random forest model was developed to calibrate the MERRA-2 PM2.5 component data, achieving higher calibration accuracy compared to the original MERRA-2 data.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Ruoqi Li, Yuli Shan, Jun Bi, Miaomiao Liu, Zongwei Ma, Jinnan Wang, Klaus Hubacek
Summary: This paper investigates the potential impacts of achieving different poverty eradication goals on typical air pollutants in China, finding that the effects on household emissions vary with different poverty lines. While technical improvements can offset some of the emissions increase from poverty alleviation, moving all impoverished residents below a higher poverty line would significantly increase household emissions in China. It highlights the need for synergies between poverty alleviation and emission reduction, requiring changes in household lifestyles and production.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Multidisciplinary Sciences
Yue Gao, Guozhi Cao, Ping Ni, Yue Tang, Yetong Liu, Jun Bi, Zongwei Ma
Summary: The Yangtze River Economic Belt is both an industrially intensive development area and a region frequently impacted by natural disasters. Research shows that Natech risks triggered by floods and typhoons are more severe in the eastern and central areas, while geological disaster risks are higher in the western part. Approximately 7.85% of the region is at relatively high-risk and above the Natech risk level, with these areas accounting for around 15.67% of the total population and 25.41% of the GDP of the YREB. The occurrence of Natech risks in these areas is predicted to cause serious harm to both people and the economy, providing a basis for Natech risk management in the YREB.
SCIENTIFIC REPORTS
(2021)
Article
Environmental Sciences
Weiyi Xu, Xiaobin Jin, Miaomiao Liu, Zongwei Ma, Qian Wang, Yinkang Zhou
Summary: The study found that PM2.5 in China exhibited a downward trend, with high pollution areas mainly concentrated in the North China Plain, the Middle-Lower Yangtze River Plain, the Sichuan Basin, and the Taklimakan Desert.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Yifan Liu, Ge Zhu, Zixiao Zhao, Clive E. Sabel, Zongwei Ma, Ziheng Jiao, Jing Zhao, Haikun Wang
Summary: Ambient PM2.5 pollution in China has decreased in recent years, but the health burden remains. The study found that while reducing air pollution has had positive effects, the aging population has partially offset these benefits. Future air pollution control policies should focus on elderly care.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Geochemistry & Geophysics
Jing Wei, Zhanqing Li, Lin Sun, Wenhao Xue, Zongwei Ma, Lei Liu, Tianyi Fan, Maureen Cribb
Summary: This study aimed to improve the accuracy of near-surface PM2.5 estimates using the newly released aerosol product derived from the VIIRS satellite with the Deep Blue retrieval algorithm. A high-quality PM2.5 data set was generated using the STET model, showing consistent results with ground-based measurements and capturing spatiotemporal variations of PM2.5 in China. The study also revealed a significant reduction in PM2.5 pollution in China during 2013-2018.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Review
Environmental Sciences
Zongwei Ma, Sagnik Dey, Sundar Christopher, Riyang Liu, Jun Bi, Palak Balyan, Yang Liu
Summary: Research on the chronic health effects of PM2.5 requires understanding of large-scale and long-term exposure, which is not supported by new monitoring networks. The use of satellite-derived AOD can fill the data gap left by ground monitors and extend PM2.5 data coverage. Statistical approaches have greater prediction accuracy compared to scaling methods and have been widely used. However, there is a gap in the current literature on how these statistical methods work and how to best utilize them for large-scale and long-term estimates.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Multidisciplinary Sciences
Yunquan Zhang, Zunyan Li, Jing Wei, Yu Zhan, Linjiong Liu, Zhiming Yang, Yuanyuan Zhang, Riyang Liu, Zongwei Ma
Summary: This study found that long-term exposure to ambient NO2 in Chinese adults is associated with an elevated risk of all-cause mortality. In 2018, approximately 1.65 million deaths in China were attributed to ambient NO2 exposure, representing a decrease compared to 2010.
JOURNAL OF ADVANCED RESEARCH
(2022)
Article
Engineering, Environmental
Qi Zhou, Xin Wang, Ye Shu, Li Sun, Zhou Jin, Zongwei Ma, Miaomiao Liu, Jun Bi, Patrick L. Kinney
Summary: This research proposes an Activity Pattern embedded Air Pollution Exposure Model (AP2EM) that accurately estimates people's exposure to outdoor fine particulate matter (PM2.5) by integrating survey data and stochastic estimates. The AP2EM outperforms commonly-used models and reveals the influence of factors often neglected in other studies on exposure estimation.
JOURNAL OF HAZARDOUS MATERIALS
(2022)
Article
Engineering, Environmental
Yue Gao, Guozhi Cao, Litiao Hu, Jun Bi, Zongwei Ma
Summary: This paper discusses Natech risks triggered by floods, earthquakes, and typhoons in large-scale areas in China and proposes a grid Natech risk assessment method. The results show that the atmospheric risk level is higher than the water environment risk level.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2022)
Article
Engineering, Environmental
Xinyi Dong, Yaman Liu, Xiao Li, Man Yue, Yawen Liu, Zongwei Ma, Haotian Zheng, Ruqi Huang, Minghuai Wang
Summary: This study used simulations to examine the response of biogenic secondary organic aerosol (BSOA) to anthropogenic emissions in China. The results showed that sulfate (SO4) significantly promoted the formation of BSOA, while high levels of nitrogen oxides (NOx) suppressed its production. The study also predicted a slightly increased contribution of BSOA to PM2.5 in the future.
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS
(2022)
Article
Environmental Sciences
Chengyi Lin, Yiqun Ma, Riyang Liu, Yanchuan Shao, Zongwei Ma, Lian Zhou, Yuanshu Jing, Michelle L. Bell, Kai Chen
Summary: Previous studies on acute health effects of ozone have mainly focused on urban areas due to the lack of air pollutant measurements in rural areas. This study estimated the daily maximum 8-hour average ozone concentration in Jiangsu Province, China from 2015 to 2018 and found that short-term ozone exposure is associated with adverse health effects for both urban and rural residents.
ENVIRONMENTAL RESEARCH
(2022)
Article
Engineering, Environmental
Ruoqi Li, Miaomiao Liu, Yuli Shan, Yufan Shi, Heran Zheng, Wei Zhang, Jianxun Yang, Wen Fang, Zongwei Ma, Jinnan Wang, Jun Bi, Klaus Hubacek
Summary: This study focuses on China and reveals the virtual hazardous waste flows in trade by developing a multiregional input-output model. It finds that in 2015, 31% of China's virtual hazardous waste flows were generated during the production of goods for export, and trade-related production generates 26% more hazardous waste per unit of GDP compared to locally consumed production. The findings imply the importance of expanding transboundary waste regulations and introducing consumer responsibilities.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Engineering, Environmental
Yanchuan Shao, Riyang Liu, Jianxun Yang, Miaomiao Liu, Wen Fang, Litiao Hu, Jun Bi, Zongwei Ma
Summary: Research often focuses on the impact of socioeconomic factors on ambient PM2.5 and health burden. This study shows that economic growth promotes the reduction of indoor fuel use, leading to fewer deaths related to PM2.5. Exposure to ambient and indoor PM2.5 causes millions of premature deaths in China. In recent years, indoor air pollution and deaths from polluting fuel cooking have significantly declined. However, the main drivers behind this change have not been clearly identified.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Yanchuan Shao, Wei Zhao, Riyang Liu, Jianxun Yang, Miaomiao Liu, Wen Fang, Litiao Hu, Matthew Adams, Jun Bi, Zongwei Ma
Summary: This study develops a method to obtain full-coverage column NO2 by combining satellite data from different sources and uses a machine learning model to estimate the surface NO2 concentration in China. The results show that column NO2 has a significant contribution to ground pollution variation.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)