Evidence map›Paper›PMID 35982662›Full record

ArticlemedRxiv : the preprint server for health sciences2022

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

Richa Batra, Rie Uni, Oleh M Akchurin, Sergio Alvarez-Mulett, Luis G Gómez-Escobar, Edwin Patino, Katherine L Hoffman, Will Simmons, Kelsey Chetnik, Mustafa Buyukozkan and 8 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 3 institutions in 2 countries.

Richa BatraDepartment of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Rie UniDivision of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA.
Oleh M AkchurinDepartment of Pediatrics, Division of Pediatric Nephrology, Weill Cornell Medicine, New York, NY, USA.
Sergio Alvarez-MulettDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA.
Luis G Gómez-EscobarDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA.
Edwin PatinoDivision of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA.
Katherine L HoffmanDepartment of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA.
Will SimmonsDepartment of Population Health Sciences, Division of Biostatistics, Weill Cornell Medicine, New York, NY, USA.
Kelsey ChetnikDepartment of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Mustafa BuyukozkanDepartment of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Elisa BenedettiDepartment of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Karsten SuhreBioinformatics Core, Weill Cornell Medicine - Qatar, Qatar Foundation, Doha, Qatar.
Edward SchenckDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA.
Soo Jung ChoDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA.
Augustine M K ChoiDepartment of Medicine, Division of Pulmonary and Critical Care Medicine, Weill Cornell Medicine, New York, NY, USA.
Frank SchmidtProteomics Core, Weill Cornell Medicine - Qatar, Qatar Foundation, Doha, Qatar.
Mary E ChoiDivision of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA.
Jan KrumsiekDepartment of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10021, USA.
Cornell University · USWeill Cornell Medical College in Qatar · QANewYork–Presbyterian Hospital · US

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
TargetAD: A systems multi-omics approach to drug repositioning in Alzheimer's diseaseR01AG069901 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Matthias Arnold, Jan Krumsiek · 2021 to 2026
$3.7M
Necroinflammatory Cell Death in SepsisK23HL151876 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SCHENCK, EDWARD JAMES · 2021 to 2025
$975k
Iron and renal fibrosis in juvenile chronic kidney diseaseK08DK114558 · NIDDK · WEILL MEDICAL COLL OF CORNELL UNIV · PI AKCHURIN, OLEH · 2018 to 2022
$833k
NHLBI NIH HHS K23 HL151876NIA NIH HHS R01 AG069901NIA NIH HHS U19 AG063744NIDDK NIH HHS K08 DK114558
6 · The paper itself

Abstract

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. In this study, 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). The comparison of these 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. 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.

Identifiers

PMID35982662
PMCPMC9387152
OpenAlexW4290960012

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.