Evidence map›Paper›PMID 35102215›Full record

ArticleScientific reports2022

Metabolomics study of COVID-19 patients in four different clinical stages.

Alberto Valdés, Lorena Ortega Moreno, Silvia Rojo Rello, Antonio Orduña, David Bernardo, Alejandro Cifuentes

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 110 citations in OpenAlex.

  1. Article
  2. Comparative urinary metabolomics reveals unique and shared pathways in COVID-19 and liver diseases.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  3. Microbiome-Metabolome Crosstalk as a Driver of COVID-19 Severity.Medical sciences (Basel, Switzerland) · 2026
    Article
  4. Article
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  7. MTHFR allele and one-carbon metabolic profile predict severity of COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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11 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 1 country.

Alberto ValdésLaboratory of Foodomics, Institute of Food Science Research, CIAL, CSIC, Nicolás Cabrera 9, 28049, Madrid, Spain.
Lorena Ortega MorenoDpt. Medicina, Universidad Autónoma de Madrid, Madrid, Spain.
Silvia Rojo RelloServicio de Microbiología, Hospital Clínico Universitario de Valladolid, 47004, Valladolid, Spain.
Antonio OrduñaServicio de Microbiología, Hospital Clínico Universitario de Valladolid, 47004, Valladolid, Spain.
David BernardoCentro de Investigación Biomédica en Red (CIBERehd), Barcelona, Spain.
Alejandro CifuentesLaboratory of Foodomics, Institute of Food Science Research, CIAL, CSIC, Nicolás Cabrera 9, 28049, Madrid, Spain. a.cifuentes@csic.es.ORCID http://orcid.org/0000-0002-7464-0217
Centro de Investigación Biomédica en Red · ESInstituto de Investigación en Ciencias de la Alimentación · ESHospital Clínico Universitario de Valladolid · ESUniversidad de Valladolid · ES

Funding

Comunidad de Madrid Ayudas Atracción de Talento Modalidad 2: BMD-5800Fundación General CSIC (Fundación General Consejo Superior de Investigaciones Científicas) CSIC-COV19-016/202020E155Fundación General CSIC (Fundación General Consejo Superior de Investigaciones Científicas) SGL2021-03-038Fundación General CSIC (Fundación General Consejo Superior de Investigaciones Científicas) SGL21-03-026Ministerio de Ciencia, Innovación y Universidades IJC2018-037560-IMinisterio de Economía y Competitividad (Ministry of Economy and Competitiveness) AGL2017-89417-R project
6 · The paper itself

Abstract

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is the coronavirus strain causing the respiratory pandemic COVID-19 (coronavirus disease 2019). To understand the pathobiology of SARS-CoV-2 in humans it is necessary to unravel the metabolic changes that are produced in the individuals once the infection has taken place. The goal of this work is to provide new information about the altered biomolecule profile and with that the altered biological pathways of patients in different clinical situations due to SARS-CoV-2 infection. This is done via metabolomics using HPLC-QTOF-MS analysis of plasma samples at COVID-diagnose from a total of 145 adult patients, divided into different clinical stages based on their subsequent clinical outcome (25 negative controls (non-COVID); 28 positive patients with asymptomatic disease not requiring hospitalization; 27 positive patients with mild disease defined by a total time in hospital lower than 10 days; 36 positive patients with severe disease defined by a total time in hospital over 20 days and/or admission at the ICU; and 29 positive patients with fatal outcome or deceased). Moreover, follow up samples between 2 and 3 months after hospital discharge were also obtained from the hospitalized patients with mild prognosis. The final goal of this work is to provide biomarkers that can help to better understand how the COVID-19 illness evolves and to predict how a patient could progress based on the metabolites profile of plasma obtained at an early stage of the infection. In the present work, several metabolites were found as potential biomarkers to distinguish between the end-stage and the early-stage (or non-COVID) disease groups. These metabolites are mainly involved in the metabolism of carnitines, ketone bodies, fatty acids, lysophosphatidylcholines/phosphatidylcholines, tryptophan, bile acids and purines, but also omeprazole. In addition, the levels of several of these metabolites decreased to "normal" values at hospital discharge, suggesting some of them as early prognosis biomarkers in COVID-19 at diagnose.

Indexed as

MetabolomePandemicsSeverity of Illness IndexAdultAgedAged, 80 and overAsymptomatic InfectionsBiomarkersCase-Control StudiesCohort StudiesCOVID-19FemaleFollow-Up StudiesHumansMaleMetabolomicsBiomarkers

Identifiers

PMID35102215
PMCPMC8803913
OpenAlexW4210546763

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.