Evidence map›Paper›PMID 38674742›Full record

ArticleMicroorganisms2024

Machine Learning to Identify Critical Biomarker Profiles in New SARS-CoV-2 Variants.

Christoph Schatz, Ludwig Knabl, Hye Kyung Lee, Rita Seeboeck, Dorothee von Laer, Eliott Lafon, Wegene Borena, Harald Mangge, Florian Prüller, Adelina Qerimi and 3 more

Abstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

13 authors.

Christoph SchatzTyrolpath Obrist Brunhuber GmbH, 6311 Zams, Austria.ORCID 0000-0001-8017-3400
Ludwig KnablTyrolpath Obrist Brunhuber GmbH, 6311 Zams, Austria.
Hye Kyung LeeLaboratory of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-7785-5942
Rita SeeboeckDepartment Life Sciences, IMC University of Applied Sciences Krems, 3500 Krems, Austria.
Dorothee von LaerInstitute of Virology, Medical University of Innsbruck, Peter-Mayr-Strasse 4b, 6020 Innsbruck, Austria.
Eliott LafonInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020 Innsbruck, Austria.
Wegene BorenaInstitute of Virology, Medical University of Innsbruck, Peter-Mayr-Strasse 4b, 6020 Innsbruck, Austria.ORCID 0000-0001-8011-5825
Harald ManggeClinical Institute for Medical and Chemical Laboratory Diagnosis (CIMCL), Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.ORCID 0000-0002-5182-4558
Florian PrüllerClinical Institute for Medical and Chemical Laboratory Diagnosis (CIMCL), Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.ORCID 0000-0002-3388-0089
Adelina QerimiInstitute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Muellerstrasse 44, 6020 Innsbruck, Austria.ORCID 0009-0007-5553-5298
Doris WilflingsederInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020 Innsbruck, Austria.ORCID 0000-0002-5888-5118
Wilfried PoschInstitute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Schöpfstrasse 41, 6020 Innsbruck, Austria.ORCID 0000-0001-8955-7654
Johannes HaybaeckDepartment of Pathology, Saint Vincent Hospital Zams, 6511 Zams, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global dissemination of SARS-CoV-2 resulted in the emergence of several variants, including Alpha, Alpha + E484K, Beta, and Omicron. Our research integrated the study of eukaryotic translation factors and fundamental components in general protein synthesis with the analysis of SARS-CoV-2 variants and vaccination status. Utilizing statistical methods, we successfully differentiated between variants in infected individuals and, to a lesser extent, between vaccinated and non-vaccinated infected individuals, relying on the expression profiles of translation factors. Additionally, our investigation identified common causal relationships among the translation factors, shedding light on the interplay between SARS-CoV-2 variants and the host's translation machinery.

Indexed as

AlphaAlpha + E484KBetaF1 scoremachine learningOmicronPC algorithmprecisionrecallRestricted Boltzmann Machine neural networkSARS-CoV-2vaccination statevariantsz-scores

Identifiers

PMID38674742
PMCPMC11052335

What OpenQuestion holds

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LicenceCC BY
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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.