Englander Institute for Precision Medicine

Urine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS.

TitleUrine-based multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS.
Publication TypeJournal Article
Year of Publication2023
AuthorsBatra R, Uni R, Akchurin OM, Alvarez-Mulett S, Gómez-Escobar LG, Patino E, Hoffman KL, Simmons W, Whalen W, Chetnik K, Buyukozkan M, Benedetti E, Suhre K, Schenck E, Cho SJung, Choi AMK, Schmidt F, Choi ME, Krumsiek J
JournalMol Med
Volume29
Issue1
Pagination13
Date Published2023 Jan 26
ISSN1528-3658
KeywordsCOVID-19, Humans, Inflammation, Multiomics, Proteomics, Respiratory Distress Syndrome, Sepsis
Abstract

BACKGROUND: Acute respiratory distress syndrome (ARDS), a life-threatening condition during critical illness, is a common complication of COVID-19. It can originate from various disease etiologies, including severe infections, major injury, or inhalation of irritants. ARDS poses substantial clinical challenges due to a lack of etiology-specific therapies, multisystem involvement, and heterogeneous, poor patient outcomes. A molecular comparison of ARDS groups holds the potential to reveal common and distinct mechanisms underlying ARDS pathogenesis.

METHODS: We performed a comparative analysis of urine-based metabolomics and proteomics profiles from COVID-19 ARDS patients (n = 42) and bacterial sepsis-induced ARDS patients (n = 17). To this end, we used two different approaches, first we compared the molecular omics profiles between ARDS groups, and second, we correlated clinical manifestations within each group with the omics profiles.

RESULTS: The comparison of the two ARDS etiologies identified 150 metabolites and 70 proteins that were differentially abundant between the two groups. Based on these findings, we interrogated the interplay of cell adhesion/extracellular matrix molecules, inflammation, and mitochondrial dysfunction in ARDS pathogenesis through a multi-omic network approach. Moreover, we identified a proteomic signature associated with mortality in COVID-19 ARDS patients, which contained several proteins that had previously been implicated in clinical manifestations frequently linked with ARDS pathogenesis.

CONCLUSION: In summary, our results provide evidence for significant molecular differences in ARDS patients from different etiologies and a potential synergy of extracellular matrix molecules, inflammation, and mitochondrial dysfunction in ARDS pathogenesis. The proteomic mortality signature should be further investigated in future studies to develop prediction models for COVID-19 patient outcomes.

DOI10.1186/s10020-023-00609-6
Alternate JournalMol Med
PubMed ID36703108
PubMed Central IDPMC9879238
Grant ListK23 HL151876 / HL / NHLBI NIH HHS / United States
R01AG069901-01 / AG / NIA NIH HHS / United States
1U19AG063744 / AG / NIA NIH HHS / United States
K08 DK114558 / DK / NIDDK NIH HHS / United States
NIH T32 HL134629-Martinez / GF / NIH HHS / United States

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