Evidence map›Paper›PMID 35844615›Full record

ArticleFrontiers in immunology2022

Metabolic Profiling at COVID-19 Onset Shows Disease Severity and Sex-Specific Dysregulation.

Francisco C Ceballos, Ana Virseda-Berdices, Salvador Resino, Pablo Ryan, Oscar Martínez-González, Felipe Peréz-García, María Martin-Vicente, Oscar Brochado-Kith, Rafael Blancas, Sofía Bartolome-Sánchez and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  10. Metabolic signatures of acute respiratory distress syndrome: COVID versus non-COVID.American journal of physiology. Lung cellular and molecular physiology · 2024
    Review
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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

19 authors at 7 institutions in 1 country.

Francisco C CeballosUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Ana Virseda-BerdicesUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Salvador ResinoUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Pablo RyanCentro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain.
Oscar Martínez-GonzálezCritical Care Department, Hospital Universitario del Tajo, Aranjuez, Spain.
Felipe Peréz-GarcíaClinical Microbiology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain.
María Martin-VicenteUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Oscar Brochado-KithUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Rafael BlancasCritical Care Department, Hospital Universitario del Tajo, Aranjuez, Spain.
Sofía Bartolome-SánchezUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Erick Joan Vidal-AlcántaraUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Oihane Elena Albóniga-DíezCentre for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Madrid, Spain.
Juan Cuadros-GonzálezClinical Microbiology Department, Hospital Universitario Príncipe de Asturias, Alcalá de Henares, Spain.
Natalia Blanca-LópezAllergology Department, University Hospital Infanta Leonor, Madrid, Spain.
Isidoro MartínezUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Ignacio Ramirez Martinez-AcitoresCritical Care Department, Hospital Universitario del Tajo, Aranjuez, Spain.
Coral BarbasCentre for Metabolomics and Bioanalysis (CEMBIO), Department of Chemistry and Biochemistry, Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Urbanización Montepríncipe, Madrid, Spain.
Amanda Fernández-RodríguezUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
María Ángeles Jiménez-SousaUnit of Viral Infection and Immunity, National Center for Microbiology (CNM), Health Institute Carlos III (ISCIII), Madrid, Spain.
Centro de Investigación Biomédica en Red · ESInstituto de Salud Carlos III · ESHospital Universitario del Tajo · ESUniversidad San Pablo CEU · ESHospital Universitario Infanta Leonor · ESHospital Universitario Príncipe de Asturias · ESUniversidad de Alcalá · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: metabolic changes through SARS-CoV-2 infection has been reported but not fully comprehended. This metabolic dysregulation affects multiple organs during COVID-19 and its early detection can be used as a prognosis marker of severity. Therefore, we aimed to characterize metabolic and cytokine profile at COVID-19 onset and its relationship with disease severity to identify metabolic profiles predicting disease progression. Material and Methods: we performed a retrospective cross-sectional study in 123 COVID-19 patients which were stratified as asymptomatic/mild, moderate and severe according to the highest COVID-19 severity status, and a group of healthy controls. We performed an untargeted plasma metabolic profiling (gas chromatography and capillary electrophoresis-mass spectrometry (GC and CE-MS)) and cytokine evaluation. Results: After data filtering and identification we observed 105 metabolites dysregulated (66 GC-MS and 40 CE-MS) which shown different expression patterns for each COVID-19 severity status. These metabolites belonged to different metabolic pathways including amino acid, energy, and nitrogen metabolism among others. Severity-specific metabolic dysregulation was observed, as an increased transformation of L-tryptophan into L-kynurenine. Thus, metabolic profiling at hospital admission differentiate between severe and moderate patients in the later phase of worse evolution. Several plasma pro-inflammatory biomarkers showed significant correlation with deregulated metabolites, specially with L-kynurenine and L-tryptophan. Finally, we describe a strong sex-related dysregulation of metabolites, cytokines and chemokines between severe and moderate patients. In conclusion, metabolic profiling of COVID-19 patients at disease onset is a powerful tool to unravel the SARS-CoV-2 molecular pathogenesis. Conclusions: This technique makes it possible to identify metabolic phenoconversion that predicts disease progression and explains the pronounced pathogenesis differences between sexes.

Indexed as

COVID-19Cross-Sectional StudiesCytokinesDisease ProgressionFemaleHumansKynurenineMaleRetrospective StudiesSARS-CoV-2Severity of Illness IndexTryptophanCytokinesKynurenineTryptophanCOVID-19disease onsetmetabolomicsseveritysex-specificSpanish hospitals

Identifiers

PMID35844615
PMCPMC9280146
OpenAlexW4283725190

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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.