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Symptomatic and asymptomatic domoic acid exposure in zebrafish (Danio rerio) revealed distinct non-overlapping gene expression patterns in the brain

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Aquatic Toxicology 2022年 252卷 106310页

作者： Hidayat, Alia S. Lefebvre, Kathi A. MacDonald, James Bammler, Theo Aluru, Neelakanteswar MIT-WHOI Joint Program in Oceanography/Applied Ocean Science & Engineering Cambridge and Woods Hole MA United States Biology Department and Woods Hole Center for Oceans and Human Health Woods Hole Oceanographic Institution Woods Hole MA United States Environmental and Fisheries Science Division Northwest Fisheries Science Center National Marine Fisheries Service NOAA Seattle WA United States Department of Environmental and Occupational Health University of Washington Seattle WA United States

Domoic acid (DA) is a naturally produced neurotoxin synthesized by marine diatoms in the genus Pseudo-nitzschia. DA accumulates in filter-feeders such as shellfish, and can cause severe neurotoxicity when contaminated seafood is ingested, resulting in Amnesic Shellfish Poisoning (ASP) in humans. Overt clinical signs of neurotoxicity include seizures and disorientation. ASP is a significant public health concern, and though seafood regulations have effectively minimized the human risk of severe acute DA poisoning, the effects of exposure at asymptomatic levels are poorly understood. The objective of this study was to determine the effects of exposure to symptomatic and asymptomatic doses of DA on gene expression patterns in the zebrafish brain. We exposed adult zebrafish to either a symptomatic (1.1 ± 0.2 μg DA/g fish) or an asymptomatic (0.31 ± 0.03 µg DA/g fish) dose of DA by intracelomic injection and sampled at 24, 48 and 168 h post-injection. Transcriptional profiling was done using Agilent and Affymetrix microarrays. Our analysis revealed distinct, non-overlapping changes in gene expression between the two doses. We found that the majority of transcriptional changes were observed at 24 h post-injection with both doses. Interestingly, asymptomatic exposure produced more persistent transcriptional effects - in response to symptomatic dose exposure, we observed only one differentially expressed gene one week after exposure, compared to 26 in the asymptomatic dose at the same time (FDR <0.05). GO term analysis revealed that symptomatic DA exposure affected genes associated with peptidyl proline modification and retinoic acid metabolism. Asymptomatic exposure caused differential expression of genes that were associated with GO terms including circadian rhythms and visual system, and also the neuroactive ligand-receptor signaling KEGG pathway. Overall, these results suggest that transcriptional responses are specific to the DA dose and that asymptomatic exposure can

关键词： Domoic acid Excitotoxin Glutamate Harmful algal bloom toxin

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Estimating Causal Effects using a Multi-task Deep Ensemble

arXiv

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arXiv 2023年

作者： Jiang, Ziyang Hou, Zhuoran Liu, Yiling Ren, Yiman Li, Keyu Carlson, David Department of Civil and Environmental Engineering Duke University DurhamNC United States Department of Biostatistics and Bioinformatics Duke University School of Medicine DurhamNC United States Program in Computational Biology and Bioinformatics Duke University School of Medicine DurhamNC United States Department of Economics University of Michigan Ross School of Business Ann ArborMI United States Department of Electrical and Computer Engineering Duke University DurhamNC United States Department of Computer Science Duke University DurhamNC United States

A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images. To fill this gap, we propose Causal Multi-task Deep Ensemble (CMDE), a novel framework that learns both shared and group-specific information from the study population. We provide proofs demonstrating equivalency of CDME to a multi-task Gaussian process (GP) with a coregionalization kernel a priori. Compared to multi-task GP, CMDE efficiently handles high-dimensional and multi-modal covariates and provides pointwise uncertainty estimates of causal effects. We evaluate our method across various types of datasets and tasks and find that CMDE outperforms state-of-the-art methods on a majority of these tasks. © 2023, CC BY.

关键词： Data handling

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New insights into the interactions between Pb(II) and fruit waste biosorbent

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CHEMOSPHERE 2022年第Part1期303卷 135048页

作者： Wang, Qian Wang, Yunlong Tang, Junjie Yang, Zi Zhang, Li Huang, Xiaowu [a]Department of Physics Chemistry and Pharmacy University of Southern Denmark 5230 Odense M Denmark [b]Key Laboratory of Protected Horticulture Engineering in Northwest Ministry of Agriculture College of Horticulture Northwest A&F University Yangling Shaanxi 712100 China [c]Environmental Science and Engineering Program Guangdong Technion-Israel Institute of Technology 241 Daxue Road Shantou Guangdong 515063 China [d]State Key Laboratory of Crop Stress Biology in Arid Areas College of Life Sciences Northwest A&F University Yangling Shaanxi 712100 China [e]National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology Key Laboratory of Beijing for Water Quality Science and Water Environment Recovery Engineering Beijing University of Technology Beijing 100124 China

Fruit waste is a sustainable biosorbent for heavy metal removal from wastewater. Elucidation of adsorption mechanism is imperative for the process control and development of effective adsorbents. In this study, watermelon rind (WR) exhibited selective and efficient Pb(II) adsorption with a maximum uptake of 230.5 mg/g at pH 5.0. The WR-packed bed column showed high Pb(II) uptake and robust durability over 10 adsorption desorption cycles with long breakthrough time of 8-13 h (89-144 bed volume), and 95% of sequestered Pb (II) was rapidly desorbed in 1-2 h by 0.05 M HCl. Spectroscopic characterization by FTIR and XPS identified hydroxyl, carboxyl, amine, and ether groups as the binding sites for Pb(II) via the binding force of complexation. Physicochemical analysis showed that ion exchange with Mg2+ and Ca2+ accounted for 19% of Pb(II) adsorption by WR;electrostatic attraction and microprecipitation jointly contributed. Quantum chemistry simulation verified the interactions between Pb(II) and binding sites and revealed carboxyl was the preferential functional group. The findings corroborate the applicability of WR in scale-up Pb(II) removal/recovery from wastewater and elaborate the mechanisms of Pb(II) adsorption by the WR biosorbent. This also provides insights into the behavior of heavy metals in other liquid/solid interfaces.

关键词： Fruit waste Heavy metal Adsorption mechanism Column study Circular economy

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Advances in virus detection methods for wastewater-based epidemiological applications

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Case Studies in Chemical and environmental engineering 2022年 6卷 100238页

作者： Corpuz, Mary Vermi Aizza Buonerba, Antonio Zarra, Tiziano Hasan, Shadi W. Korshin, Gregory V. Belgiorno, Vincenzo Naddeo, Vincenzo Environmental Engineering Program National Graduate School of Engineering University of the Philippines 1101 Diliman Quezon City Philippines Department of Chemistry and Biology “Adolfo Zambelli” University of Salerno Via Giovanni Paolo II-132 Fisciano 84084 Italy Sanitary Environmental Engineering Division (SEED) Department of Civil Engineering University of Salerno Via Giovanni Paolo II-132 Fisciano 84084 Italy Department of Chemical Engineering Khalifa University of Science and Technology P.O. Box 127788 Abu Dhabi United Arab Emirates Department of Civil and Environmental Engineering University of Washington Box 352700 Seattle 98105-2700 WA United States

Wastewater-based epidemiology (WBE) is a powerful tool that has the potential to reveal the extent of an ongoing disease outbreak or to predict an emerging one. Recent studies have shown that SARS-CoV-2 concentration in wastewater may be correlated with the number of COVID-19 cases in the corresponding population. Most of the recent studies and applications of wastewater-based surveillance of SARS-CoV-2 applied the “gold standard” real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR) detection method. However, this method also has its limitations. The paper aimed to present recent improvements and applications of the PCR-based methods for SARS-CoV-2 monitoring in wastewater. Furthermore, it aimed to review alternative methods utilized and/or proposed for the detection of the virus in wastewater matrices. From the review, it was found that several studies have investigated the use of reverse-transcription digital polymerase reaction (RT-dPCR), which was generally shown to have a lower limit of detection (LOD) over the RT-qPCR. Aside from this, non-PCR-based and non-RNA based methods have also been explored for the detection of SARS-CoV-2 in wastewater, with detailed attention given to the detection of SARS-CoV-2 proteins. The potential methods for protein detection include mass spectrometry, the use of immunosensors, and nanotechnological applications. In addition, the review of recent studies also revealed two types of emerging methods related to the detection of SARS-CoV-2 in wastewater: i) capsid-integrity assays to infer about the infectivity of SARS-CoV-2 present in wastewater, and ii) alternative methods for detection of SARS-CoV-2 variants of concern (VOCs) in wastewater. The recent studies on proposed methods of SARS-CoV-2 detection in wastewater have considered improving this approach in one or more of the following aspects: rapidity, simplicity, cost, sensitivity, and specificity. However, further studies are needed in order to re

关键词： Capsid integrity Digital polymerase reaction SARS-CoV-2 detection SARS-CoV-2 protein Variants of concern Wastewater-based epidemiology

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361 Drugs with Cutaneous Adverse Drug Reactions and their Potential to Modulate Aryl Hydrocarbon Receptor Activity

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Journal of Investigative Dermatology 2024年第12期144卷 S290-S290页

作者： A. Kuklinski A.A. Momin S.T. Arold T. Haarmann-Stremmann B. Homey S. Meller Department of Dermatology University Hospital Düsseldorf Düsseldorf Germany Bioscience Program Biological and Environmental Science and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Computational Biology Research Center King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia IUF-Leibniz Research Institute for Environmental Medicine Düsseldorf Germany

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Correction: Reconsidering invasion history of common land snails in Japan through genome-wide analyses

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Biological Invasions 2023年第11期25卷 3551-3552页

作者： Hirano, Takahiro Yamazaki, Daishi Ito, Shun Sato, Mitsuhiko P. Matsuo, Ayumi Saito, Takumi Nishi, Hirotaka Ye, Bin Dong, Zhengzhong Van Tu, Do Shau-Hwai, Aileen Tan Suyama, Yoshihisa Chiba, Satoshi Center for Northeast Asian Studies Tohoku University Sendai Japan Graduate School of Life Sciences Tohoku University Sendai Japan Biology Program Faculty of Science University of the Ryukyus Okinawa Japan Faculty of Agriculture and Marine Science Kochi University Nankoku Japan Department of Environmental Science Faculty of Science Toho University Funabashi Japan Kazusa DNA Research Institute Kisarazu Japan Kawatabi Field Science Center Graduate School of Agricultural Science Tohoku University Osaki Japan Department of Botany and Zoology Faculty of Science Masaryk University Brno Czech Republic Toyohashi Museum of Natural History Toyohashi Japan Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Agricultural Experiment Station Zhejiang University Hangzhou China Institute of Ecology and Biological Resources Vietnam Academy of Science and Technology Hanoi Vietnam Graduate University of Science and Technology Vietnam Academy of Science and Technology Hanoi Vietnam School of Biological Sciences Universiti Sains Malaysia Penang Malaysia Centre for Marine and Coastal Studies Universiti Sains Malaysia Penang Malaysia

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Relative humidity levels associated with increases in microbial growth and MVOC emissions in carpet and drywall 16

Relative humidity levels associated with increases in microb...

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16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020

作者： Haines, Sarah R. Hall, Emma C. Misztal, Pawel K. Goldstein, Allen H. Adams, Rachel I. Dannemiller, Karen C. Environmental Sciences Graduate Program Ohio State University ColumbusOH43210 United States Department of Civil Environmental and Geodetic Engineering College of Engineering Ohio State University ColumbusOH43210 United States Division of Environmental Health Sciences College of Public Health Ohio State University ColumbusOH43210 United States Department of Civil Architectural and Environmental Engineering University of Texas at Austin AustinTX78712 United States Department of Environmental Science Policy and Management University of California BerkeleyCA94720 United States Department of Plant and Microbial Biology University of California BerkeleyCA94720 United States

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UNP Extinct Metric for Bilih Fish (Mystacoleucus padangensis Bleeker) 1

UNP Extinct Metric for Bilih Fish (Mystacoleucus padangensis...

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1st International Conference on environmental sciences, ICES 2018

作者： Razak, Abdul Ganefri Barlian, Eri Dewata, Indang Biology Department FMIPA Universitas Negeri Padang Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Negeri Padang Indonesia Environmental Science Study Program Postgraduate Program Universitas Negeri Padang Indonesia

This paper write about UNP Extinc Metric. It is new approach and methods how to calculate extinc condition for wild animals especially bilih fish from Lake Singkarak. We introduce new criteria and ombine to seven categories from IUCN. For bilih fish we can calculate number extinc 49 and the meaning is endangered We conclude after that result we can conserve bilih fsh soon as soon for our life in biosfer. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Fish

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The potential of coffee waste composting technology using microbial activators to reduce solid waste in the coffee industry

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IOP Conference Series: Earth and environmental science 2021年第1期802卷

作者： N Amalia N F Widialip N Safira N Citrasari S Hariyanto Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Indonesia Study Program of Biology Department of Biology Faculty of Science and Technology Universitas Airlangga Indonesia

The coffee industry in Sidoarjo produces coffee waste as coffee ground, coffee husk, and coffee return with the solid waste generation of about 5044.3 Tons/year. The coffee waste characters resemble organic waste, so it has potential as a composted raw material. This study aims to determine the selected variation raw material composition from the coffee industry based on Indonesian National Standard (SNI) Number 10-7030-2004 and the recycle potency of the coffee industry solid waste using composting technology. The research variables are the modified composting method (open windrow composting and Bacary Italian) and the co-composting method. The result of this research for all treatments showed that the concentration range of pH value 6.92-9.54, moisture 34.78-66.60%, C-organic 17.75-33.82%, N 1.45-2.93%, C/N ratio 10-13, P2O5 0.13-0.31%, and K2O 0.89-2.89%. The selected variation raw material composition of bio compost based on the compliance to SNI 10-7030-2004, which is 1.5 kg coffee ground + 1.35 coffee return + 0.15 kg coffee husk + 3 mL EM4 (K10). Based on K10 as the selected variation raw material composition of bio compost, the coffee industry solid waste recyclable is coffee ground 0.64%, coffee husk 0.20% and returned coffee 100%.

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Circular economy of bio compost from coffee waste to support sustainable development goals in alleviating poverty in communities around the Sidoarjo coffee industry

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IOP Conference Series: Earth and environmental science 2021年第1期802卷

作者： K A Bimantara S F N Alauddin N Amalia N F Widialip N Citrasari S Hariyanto Program Study of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Indonesia Program Study of Biology Department of Biology Faculty of Science and Technology Universitas Airlangga Indonesia

In 2016-2021, coffee consumption in Indonesia was predicted to increase by 120,000 tons, impacting the increase of coffee waste. Several large coffee industries in Indonesia are located in Taman District, Sidoarjo Regency. The character of the coffee skin waste contains 44.87% organic C; N of 1.69%; P of 0.18%; K 2.49%, and C / N ratio 10-14. This value indicates that the waste can be used as compost because it meets the criteria in SNI 19-7030-2004 concerning Compost from Organic Waste. This narrative review aims to determine the circular economy of bio compost from the coffee industry solid waste to support SDGs point 1 in alleviating poverty in communities around the Sidoarjo coffee industry. The research results showed bio compost I and II is the alternative product in the circular economy (W11). The coffee waste, coffee ground, coffee skin, and coffee returned collects waste in the circular economy (W10). The raw material composition of Bio compost I such as 1.5 kg coffee ground: 1.35 kg of coffee returned:0.15 kg coffee skin+3mL of EM4 and Bio compost II such as 4.6 kg SCG's:0. 4 kg coffee skin+5 ml EM4. In practice, the circular economy of bio compost I and II can involve Farmer Groups or Youth Organizations around the industry in Taman District, Sidoarjo Regency. Based on data 2020, the total members are 113 people, producing compost of 72,435.5 kg/month with a sales profit of IDR 36,217,750. This practice can support the first point of the SDGs, namely poverty alleviation for communities around the coffee industry. However, studies on the exact circular economy pattern of coffee waste in the Sidoarjo Regency are still needed.

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