COVID-19 drug practices risk antimicrobial resistance evolution

Ebrahim Afshinnekoo^{1

2}, Chandrima Bhattacharya^{1

2}, Ana Burguete-García³, Eduardo Castro-Nallar⁴, Youping Deng⁵, Christelle Desnues⁶, Emmanuel Dias-Neto⁷, Eran Elhaik⁸, Gregorio Iraola⁹, Soojin Jang¹⁰, Paweł P Łabaj¹¹, Christopher E Mason^{1

2

12}, Niranjan Nagarajan¹³, Michael Poulsen¹⁴, Bharath Prithiviraj¹⁵, Rania Siam^{16

17}, Tieliu Shi¹⁸, Haruo Suzuki¹⁹, Johannes Werner²⁰, Maria Mercedes Zambrano²¹, Malay Bhattacharyya²²; MetaSUB Consortium

Affiliations

¹ Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA.
² The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, USA.
³ Center for Research on Infectious Diseases, National Institute of Public Health, Cuernavaca, Mexico.
⁴ Center for Bioinformatics and Integrative Biology, Universidad Andres Bello, Santiago, Chile.
⁵ Department of Quantitative Health Sciences, John A Burns School of Medicine, University of Hawaii at Manoa, Honolulu, USA.
⁶ Aix-Marseille University, University of Toulon, National Center for Scientific Research, French National Research Institute for Sustainable Development, Mediterranean Institute of Oceanography, Marseille, France.
⁷ Medical Genomics Group, A C Camargo Cancer Center and LIM-27, Institute of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
⁸ Department of Biology, Lund University, Lund, Sweden.
⁹ Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay.
¹⁰ Discovery of Biology, Antibacterial Resistance Laboratory, Institut Pasteur Korea, Seongnam, South Korea.
¹¹ Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
¹² WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, USA.
¹³ Genome Institute of Singapore, ASTAR and Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
¹⁴ Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
¹⁵ Department of Biology, Brooklyn College of the City University of New York, New York, USA.
¹⁶ University of Medicine and Health Sciences, Basettere, St Kitts and Nevis.
¹⁷ Biology Department, The American University in Cairo, Cairo, Egypt.
¹⁸ The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
¹⁹ Faculty of Environment and Information Studies, Keio University, Kanagawa, Japan.
²⁰ High Performance and Cloud Computing Group, Zentrum für Datenverarbeitung, Eberhard Karls University of Tübingen, Tübingen, Germany.
²¹ Molecular Genetics, Corporación Corpogen and Universidad Central, Bogotá, Colombia.
²² Centre for Artificial Intelligence and Machine Learning, Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India.

PMID: 33655229
PMCID: PMC7906697
DOI: 10.1016/S2666-5247(21)00039-2

COVID-19 drug practices risk antimicrobial resistance evolution

Ebrahim Afshinnekoo et al. Lancet Microbe. 2021 Apr.

. 2021 Apr;2(4):e135-e136.

doi: 10.1016/S2666-5247(21)00039-2. Epub 2021 Feb 24.

Authors

Affiliations

¹ Department of Physiology and Biophysics, Weill Cornell Medicine, New York, USA.
² The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, USA.
³ Center for Research on Infectious Diseases, National Institute of Public Health, Cuernavaca, Mexico.
⁴ Center for Bioinformatics and Integrative Biology, Universidad Andres Bello, Santiago, Chile.
⁵ Department of Quantitative Health Sciences, John A Burns School of Medicine, University of Hawaii at Manoa, Honolulu, USA.
⁶ Aix-Marseille University, University of Toulon, National Center for Scientific Research, French National Research Institute for Sustainable Development, Mediterranean Institute of Oceanography, Marseille, France.
⁷ Medical Genomics Group, A C Camargo Cancer Center and LIM-27, Institute of Psychiatry, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
⁸ Department of Biology, Lund University, Lund, Sweden.
⁹ Microbial Genomics Laboratory, Institut Pasteur Montevideo, Montevideo, Uruguay.
¹⁰ Discovery of Biology, Antibacterial Resistance Laboratory, Institut Pasteur Korea, Seongnam, South Korea.
¹¹ Małopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
¹² WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, USA.
¹³ Genome Institute of Singapore, ASTAR and Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
¹⁴ Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
¹⁵ Department of Biology, Brooklyn College of the City University of New York, New York, USA.
¹⁶ University of Medicine and Health Sciences, Basettere, St Kitts and Nevis.
¹⁷ Biology Department, The American University in Cairo, Cairo, Egypt.
¹⁸ The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, the Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China.
¹⁹ Faculty of Environment and Information Studies, Keio University, Kanagawa, Japan.
²⁰ High Performance and Cloud Computing Group, Zentrum für Datenverarbeitung, Eberhard Karls University of Tübingen, Tübingen, Germany.
²¹ Molecular Genetics, Corporación Corpogen and Universidad Central, Bogotá, Colombia.
²² Centre for Artificial Intelligence and Machine Learning, Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700108, India.

PMID: 33655229
PMCID: PMC7906697
DOI: 10.1016/S2666-5247(21)00039-2

No abstract available

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Figures

**Figure**
Use of multiple COVID-19 drugs in practice Timeline of first appearance of major antiparasite, antiviral, antibacterial, and anti-inflammatory drugs for the treatment of COVID-19 in preprints, in a peer-reviewed article, as a Google search trend, as a worldwide Twitter trend, and the first time mentioned by WHO in situation reports. The other essential drugs for supportive care were first mentioned by WHO on April 14, 2020, as a part of the COVID-19 Essential Supplies Forecasting Tool.

See this image and copyright information in PMC

References

1. Chng KR, Li C, Bertrand D. Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment. Nature Med. 2020;26:1–11. - PMC - PubMed
1. Cox MJ, Loman N, Bogaert D, O'grady J. Co-infections: potentially lethal and unexplored in COVID-19. Lancet Microbe. 2020;1:e11. - PMC - PubMed
1. Sterenczak KA, Barrantes I, Stahnke T, Stachs O, Fuellen G, Undre N. Co-infections: testing macrolides for added benefit in patients with COVID-19. Lancet Microbe. 2020;1:e313. - PMC - PubMed
1. WHO Coronavirus disease (COVID-19) weekly epidemiological update and weekly operational update. 2020. https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situatio...
1. Korber B, Fischer WM, Gnanakaran S. Tracking changes in SARS-CoV-2 Spike: evidence that D614G increases infectivity of the COVID-19 virus. Cell. 2020;182:812–827. - PMC - PubMed

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COVID-19 drug practices risk antimicrobial resistance evolution

Affiliations

COVID-19 drug practices risk antimicrobial resistance evolution

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