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Mechanistic Insights into the Sequestration of Antibiotics in Aquatic Sediments and the Microbial Phylogenetic Divergence between the Aqueous and Sediment Phases on the Fate of Antibiotic Resistance Genes

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SSRN 2023年

作者： Ohore, Okugbe Ebiotubo Zhang, Jingli Ifon, Binessi Edouard Kumwimba, Mathieu Nsenga Mu, Xiaoying Kuang, Dai Wang, Zhen Gu, Ji-Dong Yang, Guojing Key Laboratory of Tropical Diseases Control National Health Commission Key Laboratory of Tropical Translational Medicine of Ministry of Education School of Tropical Medicine Hainan Medical University Hainan Haikou571199 China Key Laboratory of Tropical Translational Medicine of Ministry of Education School of Tropical Medicine Hainan Medical University Hainan Haikou571199 China The First Affiliated Hospital of Hainan Medical University Hainan Haikou China Guangdong Provincial Key Laboratory of Marine Disaster Prediction and Prevention Guangdong Provincial Key Laboratory of Marine Biotechnology Shantou University Shantou515063 China Department of Clinical Medicine Shantou University Medical College Guangdong Shantou515041 China Department of Civil and Environmental Engineering Shantou University Shantou515063 China Laboratory of Physical Chemistry University of Abomey-Calavi Republic of Benin Cotonou01 BP 4521 Benin State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing100085 China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences Beijing100012 China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Environmental Science and Engineering Program Guangdong Technion - Israel Institute of Technology 241 Daxue Road Jinping District Guangdong Shantou515063 China Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion Guangdong Technion Israel Institute of Technology 241 Daxue Road Jinping District Guangdong Shantou515063 China

Antibiotic pollution and the evolution of antibiotic resistance genes (ARGs) are critical issues of global significance. This study investigated the sequestration of antibiotics onto aquatic sediments and the microbial phylogenetic divergence between the aqueous and sedimentary phases on antibiotic resistome profiles. The total concentration of antibiotics in the surface water (49.5%) was significantly higher than suspended particulate matter (31.4%), and sedimental phases (19.1%). However, the relative abundance of ARGs in surface water and sediment was disproportionate to the abundance of antibiotics concentration, and sediments were the predominant ARGs reservoirs. Phylogenetic divergence of the microbial communities between the surface water and the sedimentary ecosystems resulted in a significant shift in the ARGs profiles between the two distinctive surface-water and sediments. Priority ARGs of Clinical importance;blaGES, MCR-7.1, ermB, tet(34), tet36, tetG-01, and sul2 were significantly increased in the surface water, while blaCTX-M-01, blaTEM, blaOXA10-01, blaVIM, tet(W/N/W), tetM02, and ermX were amplified in the sediments. cfxA was an endemic ARG in surface-water ecosystems while the endemic ARGs of the sedimentary ecosystems included aacC4, aadA9-02, blaCTX-M-04, blaIMP-01, blaIMP-02, bla-L1, penA, erm(36), ermC, ermT-01, msrA-01, pikR2, vgb-01, mexA, oprD, ttgB, and aac. These findings provide crucial information for the identification of ARGs-specific high-risk reservoirs © 2023, The Authors. All rights reserved.

关键词： Antibiotics

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Erratum to “International inequality of environmental pressures: Decomposition and comparative analysis” [Ecol. Indic. 62 (2016) 163–173]

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Ecological Indicators 2016年 66卷 634-634页

作者： Jordi Teixidó-Figueras Julia K. Steinberger Fridolin Krausmann Helmut Haberl Thomas Wiedmann Glen P. Peters Juan A. Duro Thomas Kastner FSR-Climate Robert Schuman Centre for Advanced Studies European University Institute Via Boccaccio 151 Florence Italy Departament d’Economia and CREIP Universitat Rovira i Virgili Av. de la Universitat 1 Reus 43204 Spain Sustainability Research Institute School of Earth and Environment University of Leeds Leeds LS2 9JT UK Institute of Social Ecology (Vienna) Faculty for Interdisciplinary Studies Alpen-Adria Universität Klagenfurt Wien Austria Sustainability Assessment Program (SAP) School of Civil and Environmental Engineering UNSW Australia Sydney NSW 2052 Australia ISA School of Physics A28 The University of Sydney NSW 2006 Australia Center for International Climate and Environmental Research (Oslo) Oslo N-0318 Norway

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Corrigendum: A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018 (2021 Environ. Res. Lett. 16 073005)

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Environmental Research Letters 2022年第4期17卷 049502-049502页

作者： William F Lamb Thomas Wiedmann Julia Pongratz Robbie Andrew Monica Crippa Jos G J Olivier Dominik Wiedenhofer Giulio Mattioli Alaa Al Khourdajie Jo House Shonali Pachauri Maria Figueroa Yamina Saheb Raphael Slade Klaus Hubacek Laixiang Sun Suzana Kahn Ribeiro Smail Khennas Stephane de la Rue du Can Lazarus Chapungu Steven J Davis Igor Bashmakov Hancheng Dai Shobhakar Dhakal Xianchun Tan Yong Geng Baihe Gu Jan Minx Mercator Research Institute on Global Commons and Climate Change Torgauer Straße 12–15 4 EUREF Campus #19 10829 Berlin Germany School of Earth and Environment University of Leeds LS2 9JT Leeds United Kingdom Sustainability Assessment Program School of Civil and Environmental Engineering UNSW Sydney Sydney Australia Max Planck Institute for Meteorology Bundesstrasse 53 20146 Hamburg Germany Department of Geography Ludwig-Maximilians-Universität Munich Luisenstrasse 37 80333 Munich Germany CICERO Center for International Climate Research Oslo Norway European Commission Joint Research Centre Ispra VA Italy PBL Netherlands Environmental Assessment Agency Den Haag The Netherlands Institute of Social Ecology University of Natural Resources and Life Sciences Schottenfeldgasse 29 1070 Vienna Austria Department of Transport Planning TU Dortmund University August-Schmidt-Straße 10 44227 Dortmund Germany Centre for Environmental Policy Imperial College London London United Kingdom School of Geographical Sciences University of Bristol University Road BS8 1SS Bristol United Kingdom International Institute for Applied Systems Analysis (IIASA) Schlossplatz 1 2361 Laxenburg Austria Department of Management Society and Communication Copenhagen Business School Copenhagen Denmark Openexp 17 Bd Lefebvre 75015 Paris France Integrated Research for Energy Environment and Society University of Groningen 9747AG Groningen The Netherlands Department of Geographical Sciences University of Maryland College Park MD 20742 United States of America School of Finance and Management SOAS University of London WC1H 0XG London United Kingdom Institute of Blue and Green Development Weihai Institute of Interdisciplinary Research Shandong University Weihai 264209 People’s Republic of China Federal University of Rio de Janeiro (Universidade Federal do Rio de Janeiro—UFRJ) Transport Engineering Programme (Programa de Engenharia de Transportes—PET) COPPE-UFRJ Rio de Janeiro Brazil Energy

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Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium

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Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2022年第9期7卷 935-948页

作者： Sun, Delin Rakesh, Gopalkumar Clarke-Rubright, Emily K. Haswell, Courtney C. Logue, Mark W. Cotton, Andrew S. Xie, Hong Dennis, Emily L. Jahanshad, Neda Salminen, Lauren E. Thomopoulos, Sophia I. Rashid, Faisal M. Ching, Christopher R.K. Koch, Saskia B.J. Frijling, Jessie L. Nawijn, Laura van Zuiden, Mirjam Zhu, Xi Suarez-Jimenez, Benjamin Sierk, Anika Walter, Henrik Manthey, Antje Stevens, Jennifer S. Fani, Negar van Rooij, Sanne J.H. Stein, Murray B. Bomyea, Jessica Koerte, Inga Choi, Kyle van der Werff, Steven J.A. Vermeiren, Robert R.J.M. Herzog, Julia I. Lebois, Lauren A.M. Baker, Justin T. Ressler, Kerry J. Olson, Elizabeth A. Straube, Thomas Korgaonkar, Mayuresh S. Andrew, Elpiniki Zhu, Ye Li, Gen Ipser, Jonathan Hudson, Anna R. Peverill, Matthew Sambrook, Kelly Gordon, Evan Baugh, Lee A. Forster, Gina Simons, Raluca M. Simons, Jeffrey S. Magnotta, Vincent A. Maron-Katz, Adi du Plessis, Stefan Disner, Seth G. Davenport, Nicholas D. Grupe, Dan Nitschke, Jack B. deRoon-Cassini, Terri A. Fitzgerald, Jacklynn Krystal, John H. Levy, Ifat Olff, Miranda Veltman, Dick J. Wang, Li Neria, Yuval De Bellis, Michael D. Jovanovic, Tanja Daniels, Judith K. Shenton, Martha E. van de Wee, Nic J.A. Schmahl, Christian Kaufman, Milissa L. Rosso, Isabelle M. Sponheim, Scott R. Hofmann, David Bernd Bryant, Richard A. Fercho, Kelene A. Stein, Dan J. Mueller, Sven C. Phan, K. Luan McLaughlin, Katie A. Davidson, Richard J. Larson, Christine May, Geoffrey Nelson, Steven M. Abdallah, Chadi G. Gomaa, Hassaan Etkin, Amit Seedat, Soraya Harpaz-Rotem, Ilan Liberzon, Israel Wang, Xin Thompson, Paul M. Morey, Rajendra A. Brain Imaging and Analysis Center Duke University Durham North Carolina Healthy Childhood Brain Development Developmental Traumatology Research Program Department of Psychiatry and Behavioral Sciences Duke University Durham North Carolina Department of Veteran Affairs Mid-Atlantic Mental Illness Research Education and Clinical Center Durham North Carolina Department of Psychiatry University of Toledo Toledo Ohio National Center for PTSD VA Boston Healthcare System Boston Massachusetts Department of Psychiatry Boston University School of Medicine Boston Massachusetts Biomedical Genetics Boston University School of Medicine Boston Massachusetts Department of Biostatistics Boston University School of Public Health Boston Massachusetts Psychiatry Neuroimaging Laboratory Brigham & Women's Hospital Boston Massachusetts Department of Psychiatry Harvard Medical School Boston Massachusetts Division of Depression and Anxiety Disorders McLean Hospital Harvard University Belmont Massachusetts Center for Depression Anxiety and Stress Research McLean Hospital Harvard University Belmont Massachusetts Division of Women's Mental Health McLean Hospital Harvard University Belmont Massachusetts Institute for Technology in Psychiatry McLean Hospital Harvard University Belmont Massachusetts VA Boston Healthcare System Brockton Division Brockton Massachusetts Department of Psychology Harvard University Cambridge Massachusetts Imaging Genetics Center Stevens Neuroimaging & Informatics Institute Keck School of Medicine of USC Marina del Rey California Stanford Neurodevelopment Affect and Psychopathology Laboratory Stanford California Department of Psychiatry and Behavioral Sciences Stanford University Stanford California Department of Psychiatry University of California San Diego San Diego California Health Services Research Center University of California San Diego San Diego California VA Palo Alto Health Care System Palo Alto California Department of Neurology U

Background: Posttraumatic stress disorder (PTSD) is accompanied by disrupted cortical neuroanatomy. We investigated alteration in covariance of structural networks associated with PTSD in regions that demonstrate the case-control differences in cortical thickness (CT) and surface area (SA). Methods: Neuroimaging and clinical data were aggregated from 29 research sites in >1300 PTSD cases and >2000 trauma-exposed control subjects (ages 6.2–85.2 years) by the ENIGMA-PGC (Enhancing Neuro Imaging Genetics through Meta Analysis–Psychiatric Genomics Consortium) PTSD working group. Cortical regions in the network were rank ordered by the effect size of PTSD-related cortical differences in CT and SA. The top-n (n = 2–148) regions with the largest effect size for PTSD > non-PTSD formed hypertrophic networks, the largest effect size for PTSD < non-PTSD formed atrophic networks, and the smallest effect size of between-group differences formed stable networks. The mean structural covariance (SC) of a given n-region network was the average of all positive pairwise correlations and was compared with the mean SC of 5000 randomly generated n-region networks. Results: Patients with PTSD, relative to non-PTSD control subjects, exhibited lower mean SC in CT-based and SA-based atrophic networks. Comorbid depression, sex, and age modulated covariance differences of PTSD-related structural networks. Conclusions: Covariance of structural networks based on CT and cortical SA are affected by PTSD and further modulated by comorbid depression, sex, and age. The SC networks that are perturbed in PTSD comport with converging evidence from resting-state functional connectivity networks and networks affected by inflammatory processes and stress hormones in PTSD. © 2022 Society of Biological Psychiatry

关键词： Brain network Cortical thickness Depression PTSD Structural covariance Surface area

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