Evidence map›Paper›PMID 34460840›Full record

ArticlePloS one2021

Immunometabolic signatures predict risk of progression to sepsis in COVID-19.

Ana Sofía Herrera-Van Oostdam, Julio E Castañeda-Delgado, Juan José Oropeza-Valdez, Juan Carlos Borrego, Joel Monárrez-Espino, Jiamin Zheng, Rupasri Mandal, Lun Zhang, Elizabeth Soto-Guzmán, Julio César Fernández-Ruiz and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 8% 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, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Host metabolic responses to SARS-CoV-2 and influenza viruses: parallels and contrasts.Metabolomics : Official journal of the Metabolomic Society · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. SARS-CoV2 variants differentially impact on the plasma metabolome.Metabolomics : Official journal of the Metabolomic Society · 2025
    Article
  8. Article
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  11. Metabolic response of Klebsiella oxytoca to ciprofloxacin exposure: a metabolomics approach.Metabolomics : Official journal of the Metabolomic Society · 2024
    Article
  12. Article
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  15. Article
  16. Review
  17. Article
  18. Tryptophan catabolism via the kynurenine pathway regulates infection and inflammation: from mechanisms to biomarkers and therapies.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Review
  19. Article
  20. Article
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

16 authors at 6 institutions in 2 countries.

Ana Sofía Herrera-Van OostdamDoctorado en Ciencias Biomédicas Básicas, Centro de Investigación en Ciencias de la Salud y Biomedicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, San Luis Potosí, México.ORCID 0000-0002-5198-6100
Julio E Castañeda-DelgadoCátedras-CONACyT, Consejo Nacional de Ciencia y Tecnología, Ciudad de México, México.
Juan José Oropeza-ValdezDoctorado en Ciencias Biomédicas Básicas, Centro de Investigación en Ciencias de la Salud y Biomedicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, San Luis Potosí, México.ORCID 0000-0003-1093-9970
Juan Carlos BorregoDepartmento de Epidemiología, Hospital General de Zona #1 "Emilio Varela Luján", Instituto Mexicano del Seguro Social, Zacatecas, Zacatecas, México.ORCID 0000-0001-5208-3264
Joel Monárrez-EspinoChristus Muguerza Hospital Chihuahua - University of Monterrey, Chihuahua, Chihuahua, Mexico.
Jiamin ZhengThe Metabolomics Innovation Center, University of Alberta, Edmonton, Alberta, Canada.
Rupasri MandalThe Metabolomics Innovation Center, University of Alberta, Edmonton, Alberta, Canada.
Lun ZhangThe Metabolomics Innovation Center, University of Alberta, Edmonton, Alberta, Canada.
Elizabeth Soto-GuzmánMaestría en Ciencias Biomédicas, Universidad Autónoma de Zacatecas, Zacatecas, Zacatecas, México.
Julio César Fernández-RuizDoctorado en Ciencias Biomédicas Básicas, Centro de Investigación en Ciencias de la Salud y Biomedicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, San Luis Potosí, México.ORCID 0000-0002-5490-6049
Fátima Ochoa-GonzálezUnidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Zacatecas, Zacatecas, México.
Flor M Trejo MedinillaDoctorado en Ciencias Básicas, Universidad Autónoma de Zacatecas, Zacatecas, Zacatecas, México.
Jesús Adrián LópezMicroRNAs Laboratory, Academic Unit for Biological Sciences, Autonomous University of Zacatecas, Zacatecas, Zacatecas, Mexico.
David S WishartThe Metabolomics Innovation Center, University of Alberta, Edmonton, Alberta, Canada.
José A Enciso-MorenoUnidad de Investigación Biomédica de Zacatecas, Instituto Mexicano del Seguro Social, Zacatecas, Zacatecas, México.
Yamilé López-HernándezCátedras-CONACyT, Consejo Nacional de Ciencia y Tecnología, Ciudad de México, México.ORCID 0000-0002-1068-603X
Mexican Social Security Institute · MXUniversity of Alberta · CAUniversidad Autónoma de Zacatecas "Francisco García Salinas" · MXAutonomous University of Chihuahua · MXAutonomous University of San Luis Potosí · MXSecretaría de Ciencia, Humanidades, Tecnología e Innovación · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viral sepsis has been proposed as an accurate term to describe all multisystemic dysregulations and clinical findings in severe and critically ill COVID-19 patients. The adoption of this term may help the implementation of more accurate strategies of early diagnosis, prognosis, and in-hospital treatment. We accurately quantified 110 metabolites using targeted metabolomics, and 13 cytokines/chemokines in plasma samples of 121 COVID-19 patients with different levels of severity, and 37 non-COVID-19 individuals. Analyses revealed an integrated host-dependent dysregulation of inflammatory cytokines, neutrophil activation chemokines, glycolysis, mitochondrial metabolism, amino acid metabolism, polyamine synthesis, and lipid metabolism typical of sepsis processes distinctive of a mild disease. Dysregulated metabolites and cytokines/chemokines showed differential correlation patterns in mild and critically ill patients, indicating a crosstalk between metabolism and hyperinflammation. Using multivariate analysis, powerful models for diagnosis and prognosis of COVID-19 induced sepsis were generated, as well as for mortality prediction among septic patients. A metabolite panel made of kynurenine/tryptophan ratio, IL-6, LysoPC a C18:2, and phenylalanine discriminated non-COVID-19 from sepsis patients with an area under the curve (AUC (95%CI)) of 0.991 (0.986-0.995), with sensitivity of 0.978 (0.963-0.992) and specificity of 0.920 (0.890-0.949). The panel that included C10:2, IL-6, NLR, and C5 discriminated mild patients from sepsis patients with an AUC (95%CI) of 0.965 (0.952-0.977), with sensitivity of 0.993(0.984-1.000) and specificity of 0.851 (0.815-0.887). The panel with citric acid, LysoPC a C28:1, neutrophil-lymphocyte ratio (NLR) and kynurenine/tryptophan ratio discriminated severe patients from sepsis patients with an AUC (95%CI) of 0.829 (0.800-0.858), with sensitivity of 0.738 (0.695-0.781) and specificity of 0.781 (0.735-0.827). Septic patients who survived were different from those that did not survive with a model consisting of hippuric acid, along with the presence of Type II diabetes, with an AUC (95%CI) of 0.831 (0.788-0.874), with sensitivity of 0.765 (0.697-0.832) and specificity of 0.817 (0.770-0.865).

Indexed as

MetabolomicsAdultArea Under CurveChemokinesCOVID-19CytokinesFemaleHumansKynurenineLymphocytesMaleMiddle AgedNeutrophilsRetrospective StudiesRisk FactorsROC CurveChemokinesCytokinesKynurenineTryptophan

Identifiers

PMID34460840
PMCPMC8405033
OpenAlexW3193667390

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.