Evidence map›Paper›PMID 34228753›Full record

ArticlePLoS pathogens2021

Characterization of low-density granulocytes in COVID-19.

Luz E Cabrera, Pirkka T Pekkarinen, Maria Alander, Kirsten H A Nowlan, Ngoc Anh Nguyen, Suvi Jokiranta, Suvi Kuivanen, Anu Patjas, Sointu Mero, Sari H Pakkanen and 5 more

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

57 citing papers in PubMed, 88 citations in OpenAlex.

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  13. Neutrophil diversity and function in health and disease.Signal transduction and targeted therapy · 2024
    Review
  14. Article
  15. Article
  16. Review
  17. Bronchial Asthma and COVID-19: Etiology, Pathological Triggers, and Therapeutic Considerations.Pathophysiology : the official journal of the International Society for Pathophysiology · 2024
    Review
  18. Article
  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

15 authors at 1 institution in 1 country.

Luz E CabreraZoonosis Unit, Department of Virology, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-9437-1010
Pirkka T PekkarinenDepartment of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-8203-3409
Maria AlanderDepartment of Internal Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Kirsten H A NowlanDepartment of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-8713-4823
Ngoc Anh NguyenDepartment of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-3367-8048
Suvi JokirantaDepartment of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-4988-185X
Suvi KuivanenZoonosis Unit, Department of Virology, University of Helsinki, Helsinki, Finland.
Anu PatjasHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-7882-0362
Sointu MeroHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-3625-6273
Sari H PakkanenHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Santtu HeinonenNew Children's Hospital, Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.ORCID 0000-0002-1666-1933
Anu KanteleHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-0004-1000
Olli VapalahtiZoonosis Unit, Department of Virology, University of Helsinki, Helsinki, Finland.ORCID 0000-0003-2270-6824
Eliisa KekäläinenDepartment of Bacteriology and Immunology, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-6045-108X
Tomas StrandinZoonosis Unit, Department of Virology, University of Helsinki, Helsinki, Finland.ORCID 0000-0002-2454-7479
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe COVID-19 is characterized by extensive pulmonary complications, to which host immune responses are believed to play a role. As the major arm of innate immunity, neutrophils are one of the first cells recruited to the site of infection where their excessive activation can contribute to lung pathology. Low-density granulocytes (LDGs) are circulating neutrophils, whose numbers increase in some autoimmune diseases and cancer, but are poorly characterized in acute viral infections. Using flow cytometry, we detected a significant increase of LDGs in the blood of acute COVID-19 patients, compared to healthy controls. Based on their surface marker expression, COVID-19-related LDGs exhibit four different populations, which display distinctive stages of granulocytic development and most likely reflect emergency myelopoiesis. Moreover, COVID-19 LDGs show a link with an elevated recruitment and activation of neutrophils. Functional assays demonstrated the immunosuppressive capacities of these cells, which might contribute to impaired lymphocyte responses during acute disease. Taken together, our data confirms a significant granulocyte activation during COVID-19 and suggests that granulocytes of lower density play a role in disease progression.

Indexed as

Acute DiseaseAdultAgedCase-Control StudiesCohort StudiesConvalescenceCOVID-19Disease ProgressionFemaleFollow-Up StudiesGranulocytesHumansImmune ToleranceMaleMiddle AgedScavenger Receptors, Class EOLR1 protein, humanScavenger Receptors, Class E

Identifiers

PMID34228753
PMCPMC8284631
OpenAlexW3182140539

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.