Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. Academic Article uri icon

Overview

abstract

  • In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin-angiotensin-aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies.

authors

  • Butler, Daniel
  • Mozsary, Christopher
  • Meydan, Cem
  • Foox, Jonathan
  • Rosiene, Joel
  • Shaiber, Alon
  • Danko, David
  • Afshinnekoo, Ebrahim
  • MacKay, Matthew
  • Sedlazeck, Fritz J
  • Ivanov, Nikolay A
  • Sierra, Maria
  • Pohle, Diana
  • Zietz, Michael
  • Gisladottir, Undina
  • Ramlall, Vijendra
  • Sholle, Evan
  • Schenck, Edward J.
  • Westover, Craig D
  • Hassan, Ciaran
  • Ryon, Krista
  • Young, Benjamin
  • Bhattacharya, Chandrima
  • Ng, Dianna L
  • Granados, Andrea C
  • Santos, Yale A
  • Servellita, Venice
  • Federman, Scot
  • Ruggiero, Phyllis
  • Fungtammasan, Arkarachai
  • Chin, Chen-Shan
  • Pearson, Nathaniel M
  • Langhorst, Bradley W
  • Tanner, Nathan A
  • Kim, Youngmi
  • Reeves, Jason W
  • Hether, Tyler D
  • Warren, Sarah E
  • Bailey, Michael
  • Gawrys, Justyna
  • Meleshko, Dmitry
  • Xu, Dong
  • Couto-Rodriguez, Mara
  • Nagy-Szakal, Dorottya
  • Barrows, Joseph
  • Wells, Heather
  • O'Hara, Niamh B
  • Rosenfeld, Jeffrey A
  • Chen, Ying
  • Steel, Peter
  • Shemesh, Amos
  • Xiang, Jenny
  • Thierry-Mieg, Jean
  • Thierry-Mieg, Danielle
  • Iftner, Angelika
  • Bezdan, Daniela
  • Sanchez, Elizabeth
  • Campion, Thomas
  • Sipley, John
  • Cong, Lin
  • Craney, Arryn
  • Velu, Priya
  • Melnick, Ari M.
  • Shapira, Sagi
  • Hajirasouliha, Iman
  • Borczuk, Alain
  • Iftner, Thomas
  • Mahajan, Shahana
  • Loda, Massimo
  • Westblade, Lars F
  • Cushing, Melissa
  • Wu, Shixiu
  • Levy, Shawn
  • Chiu, Charles
  • Schwartz, Robert E.
  • Tatonetti, Nicholas
  • Rennert, Hanna
  • Imielinski, Marcin
  • Mason, Christopher E

publication date

  • March 12, 2021

Research

keywords

  • COVID-19
  • SARS-CoV-2

Identity

PubMed Central ID

  • PMC7954844

Scopus Document Identifier

  • 85102515730

Digital Object Identifier (DOI)

  • 10.1038/s41467-021-21361-7

PubMed ID

  • 33712587

Additional Document Info

volume

  • 12

issue

  • 1