Evidence map›Paper›PMID 35335635›Full record

ReviewPathogens (Basel, Switzerland)2022

Molecular and Clinical Prognostic Biomarkers of COVID-19 Severity and Persistence.

Gethsimani Papadopoulou, Eleni Manoloudi, Nikolena Repousi, Lemonia Skoura, Tara Hurst, Timokratis Karamitros

Abstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Human microbiome in post-acute COVID-19 syndrome (PACS).Current research in microbial sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Dynamics of the Microbiota and Its Relationship with Post-COVID-19 Syndrome.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. 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

6 authors.

Gethsimani PapadopoulouBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, 115 21 Athens, Greece.
Eleni ManoloudiBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, 115 21 Athens, Greece.ORCID 0000-0001-7290-9115
Nikolena RepousiBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, 115 21 Athens, Greece.
Lemonia SkouraDepartment of Microbiology, AHEPA University Hospital, Medical School, Aristotle University of Thessaloniki, 546 36 Thessaloniki, Greece.
Tara HurstSchool of Health Sciences, Birmingham City University, Birmingham B15 3TN, UK.ORCID 0000-0001-5474-7132
Timokratis KaramitrosBioinformatics and Applied Genomics Unit, Department of Microbiology, Hellenic Pasteur Institute, 115 21 Athens, Greece.ORCID 0000-0003-0841-9159

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), poses several challenges to clinicians, due to its unpredictable clinical course. The identification of laboratory biomarkers, specific cellular, and molecular mediators of immune response could contribute to the prognosis and management of COVID-19 patients. Of utmost importance is also the detection of differentially expressed genes, which can serve as transcriptomic signatures, providing information valuable to stratify patients into groups, based on the severity of the disease. The role of biomarkers such as IL-6, procalcitonin, neutrophil-lymphocyte ratio, white blood cell counts, etc. has already been highlighted in recently published studies; however, there is a notable amount of new evidence that has not been summarized yet, especially regarding transcriptomic signatures. Hence, in this review, we assess the latest cellular and molecular data and determine the significance of abnormalities in potential biomarkers for COVID-19 severity and persistence. Furthermore, we applied Gene Ontology (GO) enrichment analysis using the genes reported as differentially expressed in the literature in order to investigate which biological pathways are significantly enriched. The analysis revealed a number of processes, such as inflammatory response, and monocyte and neutrophil chemotaxis, which occur as part of the complex immune response to SARS-CoV-2.

Indexed as

cellular biomarkerCOVID-19COVID-19 persistenceCOVID-19 severityhost immune responsemolecular biomarkerpandemicprognostic biomarkerSARS-CoV-2transcriptomic signature

Identifiers

PMID35335635
PMCPMC8948624

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.