Article
Physics, Multidisciplinary
Lea Fellner, Marian Kraus, Arne Walter, Frank Duschek, Thomas Bocklitz, Valentina Gabbarini, Riccardo Rossi, Alessandro Puleio, Andrea Malizia, Pasquale Gaudio
Summary: Research on using laser-induced fluorescence (LIF) technology to distinguish organic materials, proposing a simplified experimental design to address interference from other fluorophores in the environment, testing neural networks in identifying different fluorophore signals in mixed samples.
EUROPEAN PHYSICAL JOURNAL PLUS
(2021)
Article
Chemistry, Analytical
Agnieszka Sujak, Dariusz Jakubas, Ignacy Kitowski, Piotr Boniecki
Summary: Artificial Neural Networks were used to analyze the influence of habitat types on environmental quality, as expressed by the concentrations of toxic and harmful elements in avian tissue. It was found that the increase in environmental pollution was mainly influenced by human industrial activity.
Article
Environmental Sciences
Timothy Praditia, Matthias Karlbauer, Sebastian Otte, Sergey Oladyshkin, Martin V. V. Butz, Wolfgang Nowak
Summary: Improved understanding of complex hydrosystem processes is crucial for water resources research. Conventional modeling suffers from conceptual uncertainty, while machine learning models have limited generalization abilities. To address this, a hybrid modeling framework called FINN is proposed, which merges numerical methods with artificial neural networks. FINN yields interpretable results and its potential is demonstrated in a diffusion-sorption problem.
WATER RESOURCES RESEARCH
(2022)
Article
Nuclear Science & Technology
Moonhyung Cho, Yuho Weon, Taekmin Jung
Summary: In Korea, all nuclear power plants participate in annual performance tests, most of which meet the criteria, but some fail in additional tests. An artificial neural network was developed in this study to improve the performance of FastScan in lung configuration testing, showing promising results.
NUCLEAR ENGINEERING AND TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Junjie Shi, Jiang Bian, Jakob Richter, Kuan-Hsun Chen, Jorg Rahnenfuhrer, Haoyi Xiong, Jian-Jia Chen
Summary: The predictive performance of a machine learning model depends on hyper-parameter setting, making hyper-parameter tuning crucial. In distributed machine learning, collecting all data is challenging, thus the MODES framework is proposed to deploy MBO on resource-constrained distributed embedded systems to optimize combined prediction accuracy.
Article
Immunology
Panagiotis G. Asteris, Styliani Kokoris, Eleni Gavriilaki, Markos Z. Tsoukalas, Panagiotis Houpas, Maria Paneta, Andreas Koutzas, Theodoros Argyropoulos, Nizar Faisal Alkayem, Danial J. Armaghani, Abidhan Bardhan, Liborio Cavaleri, Maosen Cao, Iman Mansouri, Ahmed Salih Mohammed, Pijush Samui, Gloria Gerber, Dimitrios T. Boumpas, Argyrios Tsantes, Evangelos Terpos, Meletios A. Dimopoulos
Summary: A prediction model for ICU hospitalization of COVID-19 patients was developed using ANN. Laboratory indices were evaluated to create a database and train ANN models. The alpha-index was used to assess the association of each parameter with outcome. The best ANN achieved high accuracy, precision, sensitivity, and F1-score in predicting ICU hospitalization.
CLINICAL IMMUNOLOGY
(2023)
Article
Chemistry, Analytical
Xavier Ceto, Jacqui M. McRae, Agnieszka Mierczynska-Vasilev, Nicolas H. Voelcker, Beatriz Prieto-Simon
Summary: This study aims to develop an easy-to-use sensor device for the detection of haze-forming proteins in wine. Both impedimetric immunosensors and FT-IR-based methods were explored, allowing for rapid assessment and quantification of protein content in wine.
Article
Materials Science, Multidisciplinary
Jack G. Nedell, Jonah Spector, Adel Abbout, Michael Vogl, Gregory A. Fiete
Summary: Motivated by the improvement of deep learning techniques, we design a mixed input convolutional neural network to predict transport properties in deformed nanoscale materials using a height map of deformations as input. Our network achieves higher accuracy in conductance predictions by using redundant input of energy values, and it successfully predicts valley-resolved conductance.
Article
Biotechnology & Applied Microbiology
Zohre Arabi Bulaghi, Ahmad Habibizad Navin, Mehdi Hosseinzadeh, Ali Rezaee
Summary: This study introduces an efficient approach based on the WCC algorithm and multi-layer perceptron artificial neural network, generating a specific model for each individual data class which yields high accuracy in clinical and biological data classification.
Article
Computer Science, Artificial Intelligence
Rafaela C. Cruz, Pedro R. Costa, Ludwig Krippahl, Marta B. Lopes
Summary: This study aimed to forecast shellfish contamination by diarrhetic shellfish poisoning (DSP) toxins in Portuguese shellfish production areas using multiple time-series variables. Various autoregressive and artificial neural network (ANN) models were tested, and data pre-processing and feature engineering methods were applied. The results showed that a bivariate long short-term memory (LSTM) neural network based on biotoxin and toxic phytoplankton measurements achieved the best prediction results, especially for short-term forecasting horizons.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Jinfu Lin, Hongxia Liu, Shulong Wang, Dong Wang, Lei Wu
Summary: This paper studies the hardware implementation of a fully connected neural network based on the 1T1R array and its application in handwritten digital image recognition. Experimental and simulation analysis show the relationship between the recognition accuracy of the network and the number of hidden neurons. The results indicate that the network has high recognition accuracy and the impact of failed devices on accuracy is minimal.
Article
Computer Science, Artificial Intelligence
Alejandro Moran, Vincent Canals, Fabio Galan-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rossello
Summary: Edge artificial intelligence is a growing research field, and reservoir computing has attracted attention as a feasible alternative for edge intelligence. This study proposes a simple hardware-optimized circuit design for low-power edge intelligence applications and demonstrates its implementation in FPGA for low-power audio event detection. The results show significant accuracy and ultra-low energy consumption for the proposed approach.
COGNITIVE COMPUTATION
(2023)
Article
Automation & Control Systems
Samaneh Hamedi, Hamed Dehdashti Jahromi, Ahmad Lotfiani
Summary: In this paper, a method using artificial neural networks (ANNs) to predict the output electrical signal of biosensors is proposed. By assuming electrical current as outputs, and the refractive index of biosamples, central wavelength (lambda), and full width half maximum (FWHM) of input light source as inputs, a multilayer perceptron model is developed. A comparative approach between finite-difference time-domain (FDTD) method and ANN results is used to evaluate the biosensor's ANN model. The results show that the developed ANN model can accurately predict the output with a small mean square error (MSE) of about 2.9 x 10(-8) as the evaluation parameter. Pre-optimization is performed using the developed model to find the optimum conditions for electrical sensitivity and responsivity.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Multidisciplinary Sciences
Xiangyan Meng, Guojie Zhang, Nuannuan Shi, Guangyi Li, Jose Azana, Jose Capmany, Jianping Yao, Yichen Shen, Wei Li, Ninghua Zhu, Ming Li
Summary: Convolutional neural networks are facing limitations in processing massive data due to electrical frequency and memory access time. Optical computing offers faster processing speeds and higher energy efficiency, but current schemes lack scalability. In this study, a compact on-chip optical convolutional processing unit is demonstrated on a low-loss silicon nitride platform, showing potential for large-scale integration.
NATURE COMMUNICATIONS
(2023)
Article
Medicine, Research & Experimental
Yingjie Su, Cuirong Guo, Shifang Zhou, Changluo Li, Ning Ding
Summary: An artificial neural networks (ANN) model was developed for early predicting clinical outcomes in sepsis. The predictive performance of the ANN model was superior to logistic regression and clinical scoring systems in both the training and validation sets.
EUROPEAN JOURNAL OF MEDICAL RESEARCH
(2022)
Article
Agronomy
Emil Gimranov, Jose D. N. Santos, Ines Vitorino, Jesus Martin, Fernando Reyes, Luisa Moura, Fernando Tavares, Conceicao Santos, Nuno Mariz-Ponte, Olga Maria Lage
Summary: The anti-Pseudomonas activity of extracts from marine bacterial strains was assessed, and four planctomycetes were found to effectively inhibit the growth of Pseudomonas. LC/HRMS dereplication of these extracts revealed the presence of bioactive secondary metabolites, suggesting their potential use in agriculture.
EUROPEAN JOURNAL OF PLANT PATHOLOGY
(2022)
Article
Chemistry, Medicinal
Rita Favas, Janaina Morone, Rosario Martins, Vitor Vasconcelos, Graciliana Lopes
Summary: This study explores the potential of four cyanobacteria strains for use in anti-aging formulations. Leptolyngbya species, especially L. boryana LEGE 15486, show promising results in scavenging free radicals, inhibiting enzyme activity, and providing UV-B protection, making them suitable for preventing UV-induced skin aging.
Article
Horticulture
Paulo Ricardo Oliveira-Pinto, Nuno Mariz-Ponte, Ana Torres, Fernando Tavares, Manuel Fernandes-Ferreira, Rose Marie Sousa, Conceicao Santos
Summary: This study demonstrates the potential of nanoclay montmorillonite (NMT) and Satureja montana essential oil (EO) as natural control agents against Xanthomonas euvesicatoria causing bacterial spot of tomato, primarily due to their antibacterial capacity. Furthermore, the research indicates the potential to upgrade these natural compounds into new commercial products and for prophylactic treatments in field conditions.
SCIENTIA HORTICULTURAE
(2022)
Article
Food Science & Technology
Mohammed Haida, Fatima El Khalloufi, Richard Mugani, El Mahdi Redouane, Alexandre Campos, Vitor Vasconcelos, Brahim Oudra
Summary: The use of artificial lakes and ponds for irrigating crops has increased in recent years. This study examines the effects of microcystins (MCs) on the growth, physiology, and antioxidant defense system of strawberry plants grown in hydroponics. The results show that high concentrations of MCs negatively affect the growth and physiology of strawberry plants.
Article
Environmental Sciences
Richard Mugani, Roseline Prisca Aba, Abdessamad Hejjaj, Fatima El Khalloufi, Naaila Ouazzani, C. Marisa R. Almeida, Pedro N. Carvalho, Vitor Vasconcelos, Alexandre Campos, Laila Mandi, Brahim Oudra
Summary: Eutrophication caused by toxic cyanobacteria can be remedied by eco-technologies like multi-soil-layering (MSL) systems. These systems have the advantages of small space requirement, simple maintenance, and high durability. They can effectively remove various contaminants from water, including cyanotoxins, although the mechanisms involved are not fully understood.
Article
Microbiology
Kayla Gisela Silva, Leonor Martins, Miguel Teixeira, Joel F. Pothier, Fernando Tavares
Summary: This study developed a DNA-marker-based method for the detection and genotyping of X. euroxanthea and proposed a workflow for the selection of species-specific detection markers. The method can track the presence of X. euroxanthea in microbial consortia and contribute to the control of phytopathogenic strains.
Article
Chemistry, Medicinal
Fernando Pagels, Cintia Almeida, Vitor Vasconcelos, A. Catarina Guedes
Summary: This study evaluated the potential of marine cyanobacterium extracts as natural and sustainable ingredients in cosmetics. The extracts showed no cytotoxicity and demonstrated anti-hyaluronidase and anti-collagenase capacities, making them promising natural anti-aging ingredients. However, stability was lower at higher temperatures.
Review
Biochemistry & Molecular Biology
Walid Zeghbib, Fares Boudjouan, Vitor Vasconcelos, Graciliana Lopes
Summary: In this study, a summary of the different classes of phenolic compounds found in Opuntia species so far is provided, and their implications in the inflammatory process are explored. The use of cactus in folk medicine is supported, and its socio-economic value is evaluated.
Article
Engineering, Environmental
P. Rodrigues, L. Guimaraes, A. P. Carvalho, L. Oliva-Teles
Summary: Pharmaceutical compounds and their metabolites in natural and wastewater have been neglected in terms of their toxic effects on aquatic animals, especially the metabolites. This study investigated the effects of the main metabolites of carbamazepine, venlafaxine, and tramadol on zebrafish embryos. The results showed that some metabolites elicited higher rates of embryonic malformations and significantly decreased larvae responses compared to controls. The expression of several tested genes was found to be affected, and potential biomarkers of exposure for venlafaxine and carbamazepine groups were identified. This study highlights the risk of contamination in aquatic systems and the importance of scrutinizing metabolites by the scientific community.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Chemistry, Medicinal
Janaina Morone, Graciliana Lopes, Joao Morais, Jorge Neves, Vitor Vasconcelos, Rosario Martins
Summary: This study evaluated the potential of acetonic and aqueous extracts from different strains of cyanobacteria for use in cosmetics. The results showed that aqueous extracts were more effective in scavenging free radicals, while acetonic extracts were more effective in preventing degradation of dermal matrix components. Cyanobacteria extracts demonstrated potential for antiaging purposes.
Review
Environmental Sciences
P. Rodrigues, L. Oliva-Teles, L. Guimaraes, A. P. Carvalho
Summary: Pharmaceuticals and pesticides are recognized as micropollutants in freshwater systems, and their effects on non-target organisms are still poorly understood. Previous studies have summarized the concentration levels and toxicological data of transformation products, but further research is needed to understand their potential harm to aquatic organisms.
REVIEWS OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Fernando Pagels, Ana Arias, A. Catarina Guedes, Antonio A. Vicente, Vitor Vasconcelos, Maria Teresa Moreira
Summary: Cyanobacteria have been recognized as a valuable source of natural compounds, such as pigments, that have proven bioactivity. The cultivation and extraction processes have been developed and can be improved based on environmental performance indicators. The Life Cycle Assessment (LCA) methodology is used to identify key areas of environmental impact and propose strategies for improvement. The results show that cyanobacteria cultivation has the greatest environmental influence due to energy requirements, and improvements can be made in reactor cleaning, culture medium sterilization, and biomass drying stages. Implementing these changes could reduce the environmental impact by 85%. This study highlights the importance of integrating technological development with impact assessment in the overall process.
APPLIED SCIENCES-BASEL
(2022)
Article
Materials Science, Multidisciplinary
Maria. J. J. Romeu, Luciana. C. C. Gomes, Francisca Sousa-Cardoso, Joao Morais, Vitor Vasconcelos, Kathryn. A. A. Whitehead, Manuel F. R. Pereira, Olivia S. G. P. Soares, Filipe. J. J. Mergulhao
Summary: This study evaluated the influence of graphene nanoplatelet-modified surfaces on cyanobacterial biofilm formation in a simulated marine environment. The results showed that the graphene nanoplatelet composite reduced biofilm formation and coverage, and delayed biofilm development.
Article
Plant Sciences
Mafalda Pinto, Cristiano Soares, Tatiana Andreani, Fernanda Fidalgo, Fernando Tavares
Summary: This study aimed to assess the antibacterial activity of a dried leaf Eucalyptus globulus Labill. aqueous extract (DLE) against Pseudomonas syringae pv. tomato (Pst), Xanthomonas euvesicatoria (Xeu), and Clavibacter michiganensis michiganensis (Cmm). The results showed that DLE strongly inhibited the growth of these pathogens and significantly impaired their cell viability. Therefore, DLE can be considered as a promising strategy for the prophylactic treatment of tomato-associated bacterial diseases or to reduce the use of environmentally toxic approaches.
Article
Environmental Sciences
Nuno Goncalo de Carvalho Ferreira, Adriano Chessa, Isabel Oliveira Abreu, Luis Oliva Teles, Peter Kille, Antonio Paulo Carvalho, Laura Guimaraes
Summary: Tributyltin (TBT) is a persistent biocide that causes significant harm to organisms despite being banned. This study compares the three-dimensional structure, phylogenetic distribution, and amino acid sequence alterations of TBT-sensitive species. The results show conservation of the protein and no specific distribution of sensitivity among different taxa.
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)
