Evidence map›Paper›PMID 34013258›Full record

ArticleResearch square2021

Biological and Clinical Factors contributing to the Metabolic Heterogeneity of Hospitalized Patients with and without COVID-19.

Angelo D'Alessandro, Imo Akpan, Tiffany Thomas, Julie Reisz, Francesca Cendali, Fabia Gamboni, Travis Nemkov, Kiruphagaran Thangaraju, Upendra Katneni, Kenichi Tanaka and 11 more

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 25 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 3 institutions in 1 country.

Angelo D'AlessandroUniversity of Colorado Denver.
Imo AkpanColumbia University Irving Medical Center.ORCID 0000-0002-6793-599X
Tiffany ThomasColumbia University.
Julie ReiszUniversity of Colorado Denver.
Francesca CendaliUniversity of Colorado Denver.
Fabia GamboniUniversity of Colorado Denver.
Travis NemkovDepartment of Biochemistry and Molecular Genetics, University of Colorado Denver.
Kiruphagaran ThangarajuUniversity of Maryland.
Upendra KatneniUniversity of Maryland.
Kenichi TanakaUniversity of Maryland.
Stacie KahnColumbia University Irving Medical Center.
Alexander WeiColumbia University Irving Medical Center.
Jacob ValkColumbia University Irving Medical Center.
Krystalyn HudsonColumbia University Medical Center.
David RohColumbia University.
Chiara MoriconiColumbia University Irving Medical Center.
James ZimringUniversity of Virginia.
Eldad HodColumbia University.ORCID 0000-0002-2367-9509
Steven SpitalnikColumbia University Irving Medical Center.
Paul BuehlerUniversity of Maryland.
Richard FrancisColumbia University Irving Medical Center.
University of Denver · USColumbia University Irving Medical Center · USUniversity of Maryland, College Park · US

Funding

Resuscitation Strategies for Achieving Thrombo-inflammatory HomeostasisRM1GM131968 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI COHEN, MITCHELL, D'ALESSANDRO, ANGELO · 2019 to 2023
$11.3M
The Impact of Oxidative Stress on Erythocyte BiologyR01HL148151 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI D'ALESSANDRO, ANGELO, KARAFIN, MATTHEW S · 2019 to 2022
$8.9M
The role of ferroptosis in red cell aging in vivo and in vitroR01HL146442 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Angelo D'Alessandro, Adam N. Goldfarb · 2019 to 2026
$5.4M
Interactions between the ADORA2b/Sphk1axis and the AE1-Hb switch in red blood cell aging in vivo and in vitroR01HL149714 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI D'ALESSANDRO, ANGELO · 2020 to 2023
$2.6M
MIRAGES: Metabolic Investigation of Red blood cells as a function of Aging, Genetics, Environment, and StorageR21HL150032 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI D'ALESSANDRO, ANGELO · 2020 to 2021
$414k
NHLBI NIH HHS R01 HL146442NHLBI NIH HHS R01 HL148151NHLBI NIH HHS R01 HL149714NHLBI NIH HHS R21 HL150032NIGMS NIH HHS RM1 GM131968
6 · The paper itself

Abstract

The Corona Virus Disease 2019 (COVID-19) pandemic represents an ongoing worldwide challenge. Exploratory studies evaluating the impact of COVID-19 infection on the plasma metabolome have been performed, often with small numbers of patients, and with or without relevant control data; however, determining the impact of biological and clinical variables remains critical to understanding potential markers of disease severity and progression. The present large study, including relevant controls, sought to understand independent and overlapping metabolic features of samples from acutely ill patients (n = 831), testing positive (n = 543) or negative (n = 288) for COVID-19. High-throughput metabolomics analyses were complemented with antigen and enzymatic activity assays on 831 plasma samples from acutely ill patients while in the emergency department, at admission, and during hospitalization. We then performed additional lipidomics analyses of the 60 subjects with the lowest and highest body mass index, either COVID-19 positive or negative. Omics data were correlated to detailed data on patient characteristics and clinical laboratory assays measuring coagulation, hematology and chemistry analytes. Significant changes in arginine/proline/citrulline, tryptophan/indole/kynurenine, fatty acid and acyl-carnitine metabolism emerged as highly relevant markers of disease severity, progression and prognosis as a function of biological and clinical variables in these patients. Further, machine learning models were trained by entering all metabolomics and clinical data from half of the COVID-19 patient cohort and then tested on the other half yielding ~ 78% prediction accuracy. Finally, the extensive amount of information accumulated in this large, prospective, observational study provides a foundation for follow-up mechanistic studies and data sharing opportunities, which will advance our understanding of the characteristics of the plasma metabolism in COVID-19 and other acute critical illnesses.

Identifiers

PMID34013258
PMCPMC8132252
OpenAlexW3160267020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.