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Beyond the List: Bioagent-Agnostic Signatures Could Enable a More Flexible and Resilient Biodefense Posture Than an Approach Based on Priority Agent Lists Alone.
Leiser, Owen P; Hobbs, Errett C; Sims, Amy C; Korch, George W; Taylor, Karen L.
  • Leiser OP; Pacific Northwest National Laboratory, Seattle, WA 98109, USA.
  • Hobbs EC; Pacific Northwest National Laboratory, Seattle, WA 98109, USA.
  • Sims AC; Pacific Northwest National Laboratory, Richland, WA 99354, USA.
  • Korch GW; Battelle National Biodefense Institute, LLC, Fort Detrick, MD 21072, USA.
  • Taylor KL; Pacific Northwest National Laboratory, Seattle, WA 98109, USA.
Pathogens ; 10(11)2021 Nov 17.
Article in English | MEDLINE | ID: covidwho-1534218
ABSTRACT
As of 2021, the biothreat policy and research communities organize their efforts around lists of priority agents, which elides consideration of novel pathogens and biotoxins. For example, the Select Agents and Toxins list is composed of agents that historic biological warfare programs had weaponized or that have previously caused great harm during natural outbreaks. Similarly, lists of priority agents promulgated by the World Health Organization and the National Institute of Allergy and Infectious Diseases are composed of previously known pathogens and biotoxins. To fill this gap, we argue that the research/scientific and biodefense/biosecurity communities should categorize agents based on how they impact their hosts to augment current list-based paradigms. Specifically, we propose integrating the results of multi-omics studies to identify bioagent-agnostic signatures (BASs) of disease-namely, patterns of biomarkers that accurately and reproducibly predict the impacts of infection or intoxication without prior knowledge of the causative agent. Here, we highlight three pathways that investigators might exploit as sources of signals to construct BASs and their applicability to this framework. The research community will need to forge robust interdisciplinary teams to surmount substantial experimental, technical, and data analytic challenges that stand in the way of our long-term vision. However, if successful, our functionality-based BAS model could present a means to more effectively surveil for and treat known and novel agents alike.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Pathogens10111497

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Year: 2021 Document Type: Article Affiliation country: Pathogens10111497