Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19
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Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19. / Woo, Marcel S; Haag, Friedrich; Nierhaus, Axel; Jarczak, Dominik; Roedl, Kevin; Mayer, Christina; Brehm, Thomas T; van der Meirschen, Marc; Hennigs, Annette; Christopeit, Maximilian; Fiedler, Walter; Karagiannis, Panagiotis; Burdelski, Christoph; Schultze, Alexander; Huber, Samuel; Addo, Marylyn M; Schmiedel, Stefan; Friese, Manuel A; Kluge, Stefan; Schulze Zur Wiesch, Julian.
In: ISCIENCE, Vol. 24, No. 7, 23.07.2021, p. 102752.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19
AU - Woo, Marcel S
AU - Haag, Friedrich
AU - Nierhaus, Axel
AU - Jarczak, Dominik
AU - Roedl, Kevin
AU - Mayer, Christina
AU - Brehm, Thomas T
AU - van der Meirschen, Marc
AU - Hennigs, Annette
AU - Christopeit, Maximilian
AU - Fiedler, Walter
AU - Karagiannis, Panagiotis
AU - Burdelski, Christoph
AU - Schultze, Alexander
AU - Huber, Samuel
AU - Addo, Marylyn M
AU - Schmiedel, Stefan
AU - Friese, Manuel A
AU - Kluge, Stefan
AU - Schulze Zur Wiesch, Julian
N1 - © 2021 The Author(s).
PY - 2021/7/23
Y1 - 2021/7/23
N2 - COVID-19 is a respiratory tract infection that can affect multiple organ systems. Predicting the severity and clinical outcome of individual patients is a major unmet clinical need that remains challenging due to intra- and inter-patient variability. Here, we longitudinally profiled and integrated more than 150 clinical, laboratory and immunological parameters of 173 patients with mild to fatal COVID-19. Using systems biology, we detected progressive dysregulation of multiple parameters indicative of organ damage that correlated with disease severity, particularly affecting kidneys, hepatobiliary system, and immune landscape. By performing unsupervised clustering and trajectory analysis, we identified T and B cell depletion as early indicators of a complicated disease course. In addition, markers of hepatobiliary damage emerged as robust predictor of lethal outcome in critically ill patients. This allowed us to propose a novel clinical COVID-19 SeveriTy (COST) score that distinguishes complicated disease trajectories and predicts lethal outcome in critically ill patients.
AB - COVID-19 is a respiratory tract infection that can affect multiple organ systems. Predicting the severity and clinical outcome of individual patients is a major unmet clinical need that remains challenging due to intra- and inter-patient variability. Here, we longitudinally profiled and integrated more than 150 clinical, laboratory and immunological parameters of 173 patients with mild to fatal COVID-19. Using systems biology, we detected progressive dysregulation of multiple parameters indicative of organ damage that correlated with disease severity, particularly affecting kidneys, hepatobiliary system, and immune landscape. By performing unsupervised clustering and trajectory analysis, we identified T and B cell depletion as early indicators of a complicated disease course. In addition, markers of hepatobiliary damage emerged as robust predictor of lethal outcome in critically ill patients. This allowed us to propose a novel clinical COVID-19 SeveriTy (COST) score that distinguishes complicated disease trajectories and predicts lethal outcome in critically ill patients.
U2 - 10.1016/j.isci.2021.102752
DO - 10.1016/j.isci.2021.102752
M3 - SCORING: Journal article
C2 - 34179733
VL - 24
SP - 102752
JO - ISCIENCE
JF - ISCIENCE
SN - 2589-0042
IS - 7
ER -
