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Biochemical, biophysical, and immunological characterization of respiratory secretions in severe SARS-CoV-2 infections
Michael J. Kratochvil, Gernot Kaber, Sally Demirdjian, Pamela C. Cai, Elizabeth B. Burgener, Nadine Nagy, Graham L. Barlow, Medeea Popescu, Mark R. Nicolls, Michael G. Ozawa, Donald P. Regula, Ana E. Pacheco-Navarro, Samuel Yang, Vinicio A. de Jesus Perez, Harry Karmouty-Quintana, Andrew M. Peters, Bihong Zhao, Maximilian L. Buja, Pamela Y. Johnson, Robert B. Vernon, Thomas N. Wight, Stanford COVID-19 Biobank Study Group, Carlos E. Milla, Angela J. Rogers, Andrew J. Spakowitz, Sarah C. Heilshorn, Paul L. Bollyky
Michael J. Kratochvil, Gernot Kaber, Sally Demirdjian, Pamela C. Cai, Elizabeth B. Burgener, Nadine Nagy, Graham L. Barlow, Medeea Popescu, Mark R. Nicolls, Michael G. Ozawa, Donald P. Regula, Ana E. Pacheco-Navarro, Samuel Yang, Vinicio A. de Jesus Perez, Harry Karmouty-Quintana, Andrew M. Peters, Bihong Zhao, Maximilian L. Buja, Pamela Y. Johnson, Robert B. Vernon, Thomas N. Wight, Stanford COVID-19 Biobank Study Group, Carlos E. Milla, Angela J. Rogers, Andrew J. Spakowitz, Sarah C. Heilshorn, Paul L. Bollyky
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Research Article COVID-19 Pulmonology

Biochemical, biophysical, and immunological characterization of respiratory secretions in severe SARS-CoV-2 infections

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Abstract

Thick, viscous respiratory secretions are a major pathogenic feature of COVID-19, but the composition and physical properties of these secretions are poorly understood. We characterized the composition and rheological properties (i.e., resistance to flow) of respiratory secretions collected from intubated COVID-19 patients. We found the percentages of solids and protein content were greatly elevated in COVID-19 compared with heathy control samples and closely resembled levels seen in cystic fibrosis, a genetic disease known for thick, tenacious respiratory secretions. DNA and hyaluronan (HA) were major components of respiratory secretions in COVID-19 and were likewise abundant in cadaveric lung tissues from these patients. COVID-19 secretions exhibited heterogeneous rheological behaviors, with thicker samples showing increased sensitivity to DNase and hyaluronidase treatment. In histologic sections from these same patients, we observed increased accumulation of HA and the hyaladherin versican but reduced tumor necrosis factor–stimulated gene-6 staining, consistent with the inflammatory nature of these secretions. Finally, we observed diminished type I interferon and enhanced inflammatory cytokines in these secretions. Overall, our studies indicated that increases in HA and DNA in COVID-19 respiratory secretion samples correlated with enhanced inflammatory burden and suggested that DNA and HA may be viable therapeutic targets in COVID-19 infection.

Authors

Michael J. Kratochvil, Gernot Kaber, Sally Demirdjian, Pamela C. Cai, Elizabeth B. Burgener, Nadine Nagy, Graham L. Barlow, Medeea Popescu, Mark R. Nicolls, Michael G. Ozawa, Donald P. Regula, Ana E. Pacheco-Navarro, Samuel Yang, Vinicio A. de Jesus Perez, Harry Karmouty-Quintana, Andrew M. Peters, Bihong Zhao, Maximilian L. Buja, Pamela Y. Johnson, Robert B. Vernon, Thomas N. Wight, Stanford COVID-19 Biobank Study Group, Carlos E. Milla, Angela J. Rogers, Andrew J. Spakowitz, Sarah C. Heilshorn, Paul L. Bollyky

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Figure 5

Enzymatic treatments affect the rheology of COVID-19 respiratory secretions in proportion to their pretreatment moduli.

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Enzymatic treatments affect the rheology of COVID-19 respiratory secreti...
(A) The difference in modulus of COVID-19 lung secretions (n = 15) upon control saline dilution and enzymatic DNase treatment (ΔGSaline – GDNase) versus the initial, pretreatment modulus (blue). Healthy controls shown for comparison (n = 6). (B) The difference in modulus of COVID-19 lung secretions (n = 15) upon control saline dilution and enzymatic HAdase treatment (ΔGSaline – GHAdase) versus the initial, pretreatment modulus (green). Healthy controls shown for comparison (n = 6) (magenta). The Bayesian Information Criterion (BIC) was used as the statistical metric to compare the impact of enzymatic treatment. (BIC = 35.75 for DNase, and BIC = 36.92 for HAdase.)

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