Evidence map›Paper›PMID 38033387›Full record

ArticleFrontiers in molecular biosciences2023

A comparative NMR-based metabolomics study of lung parenchyma of severe COVID-19 patients.

Joaquín I Hurtado, Andrés López-Radcenco, José Luis Izquierdo-García, Fernando Rodríguez, Guillermo Moyna, Gonzalo Greif, Nicolás Nin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Joaquín I Hurtado *Laboratorio de Interacción Hospedero Patógeno, Unidad de Biología Molecular, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Andrés López-Radcenco *Departamento de Química del Litoral, Universidad de la República, Paysandú, Uruguay.
José Luis Izquierdo-GarcíaGrupo de Resonancia Magnética Nuclear e Imagen en Biomedicina, Instituto Pluridisciplinar, Universidad Complutense de Madrid, Madrid, Spain.
Fernando RodríguezCentro de Referencia COVID 1, Hospital Español, Administración de Servicios de Salud del Estado, Montevideo, Uruguay.
Guillermo MoynaDepartamento de Química del Litoral, Universidad de la República, Paysandú, Uruguay.
Gonzalo GreifLaboratorio de Interacción Hospedero Patógeno, Unidad de Biología Molecular, Institut Pasteur de Montevideo, Montevideo, Uruguay.
Nicolás NinCentro de Referencia COVID 1, Hospital Español, Administración de Servicios de Salud del Estado, Montevideo, Uruguay.
Institut Pasteur de Montevideo · UYUniversidad de la República de Uruguay · UYAdministracion de los Servicios de Salud del Estado · UYUniversidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 was the most significant infectious-agent-related cause of death in the 2020-2021 period. On average, over 60% of those admitted to ICU facilities with this disease died across the globe. In severe cases, COVID-19 leads to respiratory and systemic compromise, including pneumonia-like symptoms, acute respiratory distress syndrome, and multiorgan failure. While the upper respiratory tract and lungs are the principal sites of infection and injury, most studies on the metabolic signatures in COVID-19 patients have been carried out on serum and plasma samples. In this report we attempt to characterize the metabolome of lung parenchyma extracts from fatal COVID-19 cases and compare them with that from other respiratory diseases. Our findings indicate that the metabolomic profiles from fatal COVID-19 and non-COVID-19 cases are markedly different, with the former being the result of increased lactate and amino acid metabolism, altered energy pathways, oxidative stress, and inflammatory response. Overall, these findings provide additional insights into the pathophysiology of COVID-19 that could lead to the development of targeted therapies for the treatment of severe cases of the disease, and further highlight the potential of metabolomic approaches in COVID-19 research.

Indexed as

biomarkersCOVID-19ICU patientslung parenchymaNMR-based metabolomics

Identifiers

PMID38033387
PMCPMC10684917
OpenAlexW4388701471

What Socratic 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 Socratic graph.