Evidence map›Paper›PMID 36703108›Full record

ArticleMolecular medicine (Cambridge, Mass.)2023

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, William Whalen, Kelsey Chetnik and 9 more

Open access · goldAbstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

16 citing papers in PubMed, 26 citations in OpenAlex.

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  15. Prognostic Biomarkers Based on Proteomic Technology in COPD: A Recent Review.International journal of chronic obstructive pulmonary disease · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 3 countries.

Richa Batra *Department of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA.
Rie Uni *Division of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA.
Oleh M AkchurinDivision of Pediatric Nephrology, Department of Pediatrics, Weill Cornell Medicine, New York, NY, USA.
Sergio Alvarez-MulettDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Luis G Gómez-EscobarDivision of Pulmonary and Critical Care Medicine, Department of 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 HoffmanDivision of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
Will SimmonsDivision of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.
William WhalenDivision of Pulmonary and Critical Care Medicine, Department of Medicine, 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 SchenckDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Soo Jung ChoDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Augustine M K ChoiDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY, USA.
Frank SchmidtProteomics Core, Weill Cornell Medicine -Qatar, Qatar Foundation, Doha, Qatar. frs4001@qatar-med.cornell.edu.
Mary E ChoiDivision of Nephrology and Hypertension, Joan and Sanford I. Weill Department of Medicine, New York, NY, USA. mec2025@med.cornell.edu.
Jan KrumsiekDepartment of Physiology and Biophysics, Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA. jak2043@med.cornell.edu.ORCID 0000-0003-4734-3791
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 ROB KNIGHT, Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
Multidisciplinary Approach Training in Respiratory ResearchT32HL134629 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Robert J Kaner, Heather Winona Stout Delgado · 2018 to 2026
$5.2M
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 HL151876NHLBI NIH HHS T32 HL134629NIA NIH HHS 1U19AG063744NIA NIH HHS R01 AG069901NIA NIH HHS R01AG069901-01NIA NIH HHS U19 AG063744NIDDK NIH HHS K08 DK114558NIH HHS NIH T32 HL134629-Martinez
6 · The paper itself

Abstract

backgroundAcute 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.

methodsWe 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.

resultsThe 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.

conclusionIn 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.

Indexed as

COVID-19Respiratory Distress SyndromeSepsisHumansInflammationMultiomicsProteomicsAcute respiratory distress syndrome (ARDS)Computational analysisCOVID-19MetabolomicsMitochondrial dysfunctionMortality signatureMulti-omicNetwork-basedProteomics

Identifiers

PMID36703108
PMCPMC9879238
OpenAlexW4318195472

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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.