Evidence map›Paper›PMID 34566994›Full record

ArticleFrontiers in immunology2021

Characterization by Quantitative Serum Proteomics of Immune-Related Prognostic Biomarkers for COVID-19 Symptomatology.

Margarita Villar, José Miguel Urra, Francisco J Rodríguez-Del-Río, Sara Artigas-Jerónimo, Natalia Jiménez-Collados, Elisa Ferreras-Colino, Marinela Contreras, Isabel G Fernández de Mera, Agustín Estrada-Peña, Christian Gortázar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  4. Is Zebrafish a Good Model for the Alpha-Gal Syndrome?FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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  6. Complement system activation in wild boar (Frontiers in veterinary science · 2025
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  7. Article
  8. Review
  9. Article
  10. The Impact of Serum/Plasma Proteomics on SARS-CoV-2 Diagnosis and Prognosis.International journal of molecular sciences · 2024
    Review
  11. Plasma Proteins Associated with COVID-19 Severity in Puerto Rico.International journal of molecular sciences · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
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  19. 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

11 authors at 6 institutions in 2 countries.

Margarita VillarSaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain.
José Miguel UrraImmunology, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain.
Francisco J Rodríguez-Del-RíoLocal Medical Service Horcajo de los Montes, Ciudad Real, Spain.
Sara Artigas-JerónimoSaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain.
Natalia Jiménez-ColladosImmunology, Hospital General Universitario de Ciudad Real, Ciudad Real, Spain.
Elisa Ferreras-ColinoSaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain.
Marinela ContrerasInterdisciplinary Laboratory of Clinical Analysis, Interlab-UMU, University of Murcia, Murcia, Spain.
Isabel G Fernández de MeraSaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain.
Agustín Estrada-PeñaDepartment of Animal Pathology, Faculty of Veterinary Medicine, University of Zaragoza, Zaragoza, Spain.
Christian GortázarSaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain.
José de la FuenteSaBio, Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ciudad Real, Spain.
Instituto de Investigación en Recursos Cinegéticos · ESHospital General Universitario de Ciudad Real · ESOklahoma State University · USUniversidad de Murcia · ESUniversidad de Zaragoza · ESUniversity of Castilla-La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic caused by SARS-CoV-2 challenges the understanding of factors affecting disease progression and severity. The identification of prognostic biomarkers and physiological processes associated with disease symptoms is relevant for the development of new diagnostic and therapeutic interventions to contribute to the control of this pandemic. To address this challenge, in this study, we used a quantitative proteomics together with multiple data analysis algorithms to characterize serum protein profiles in five cohorts from healthy to SARS-CoV-2-infected recovered (hospital discharge), nonsevere (hospitalized), and severe [at the intensive care unit (ICU)] cases with increasing systemic inflammation in comparison with healthy individuals sampled prior to the COVID-19 pandemic. The results showed significantly dysregulated proteins and associated biological processes and disorders associated to COVID-19. These results corroborated previous findings in COVID-19 studies and highlighted how the representation of dysregulated serum proteins and associated BPs increases with COVID-19 disease symptomatology from asymptomatic to severe cases. The analysis was then focused on novel disease processes and biomarkers that were correlated with disease symptomatology. To contribute to translational medicine, results corroborated the predictive value of selected immune-related biomarkers for disease recovery [Selenoprotein P (SELENOP) and Serum paraoxonase/arylesterase 1 (PON1)], severity [Carboxypeptidase B2 (CBP2)], and symptomatology [Pregnancy zone protein (PZP)] using protein-specific ELISA tests. Our results contributed to the characterization of SARS-CoV-2-host molecular interactions with potential contributions to the monitoring and control of this pandemic by using immune-related biomarkers associated with disease symptomatology.

Indexed as

SARS-CoV-2AdultAgedAged, 80 and overAryldialkylphosphataseBiomarkersCarboxypeptidase B2COVID-19FemaleHumansInterleukin-1Interleukin-4MaleMiddle AgedPregnancy ProteinsPrognosisAryldialkylphosphataseBiomarkersCarboxypeptidase B2IL4 protein, humanInterleukin-1Interleukin-4PON1 protein, humanPregnancy ProteinsProteomePZP protein, humanSELENOP protein, humanSelenoprotein PbiomarkerCOVID-19diagnosticimmunologyprognosticproteomicsymptomatology

Identifiers

PMID34566994
PMCPMC8457011
OpenAlexW3198847313

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.