Evidence map›Paper›PMID 34943881›Full record

Observational studyCells2021

Age Related Differences in Monocyte Subsets and Cytokine Pattern during Acute COVID-19-A Prospective Observational Longitudinal Study.

Anita Pirabe, Stefan Heber, Waltraud C Schrottmaier, Anna Schmuckenschlager, Sonja Treiber, David Pereyra, Jonas Santol, Erich Pawelka, Marianna Traugott, Christian Schörgenhofer and 6 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Review
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  12. Immunosenescence and COVID-19.Mechanisms of ageing and development · 2022
    Review
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 3 institutions in 1 country.

Anita PirabeInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.
Stefan HeberInstitute of Physiology, Center of Physiology and Pharmacology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-3398-0442
Waltraud C SchrottmaierInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.ORCID 0000-0003-0550-4120
Anna SchmuckenschlagerInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.ORCID 0000-0003-2408-2197
Sonja TreiberInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.
David PereyraInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.
Jonas SantolInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.
Erich PawelkaDepartment of Medicine IV, Clinic Favoriten, 1010 Vienna, Austria.
Marianna TraugottDepartment of Medicine IV, Clinic Favoriten, 1010 Vienna, Austria.
Christian SchörgenhoferDepartment of Clinical Pharmacology, Medical University of Vienna, General Hospital Vienna, 1090 Vienna, Austria.
Tamara SeitzDepartment of Medicine IV, Clinic Favoriten, 1010 Vienna, Austria.
Mario KarolyiDepartment of Medicine IV, Clinic Favoriten, 1010 Vienna, Austria.
Bernd JilmaDepartment of Clinical Pharmacology, Medical University of Vienna, General Hospital Vienna, 1090 Vienna, Austria.ORCID 0000-0001-5652-7977
Ulrike ReschInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.ORCID 0000-0002-8380-9555
Alexander ZoufalyDepartment of Medicine IV, Clinic Favoriten, 1010 Vienna, Austria.
Alice AssingerInstitute of Vascular Biology and Thrombosis Research, Center of Physiology and Pharmacology, Medical University of Vienna, Schwarzspanierstrasse 17, 1090 Vienna, Austria.ORCID 0000-0002-5670-5910
Medical University of Vienna · ATVienna General Hospital · ATSigmund Freud Privatuniversität Wien · AT

Funding

Austrian Science Fund FWF P 34783FWF Austrian Science Fund P-32064FWF Austrian Science Fund P-34783
6 · The paper itself

Abstract

The COVID-19 pandemic drastically highlighted the vulnerability of the elderly population towards viral and other infectious threats, illustrating that aging is accompanied by dysregulated immune responses currently summarized in terms like inflammaging and immunoparalysis. To gain a better understanding on the underlying mechanisms of the age-associated risk of adverse outcome in individuals experiencing a SARS-CoV-2 infection, we analyzed the impact of age on circulating monocyte phenotypes, activation markers and inflammatory cytokines including interleukin 6 (IL-6), IL-8 and tumor necrosis factor (TNF) in the context of COVID-19 disease progression and outcome in 110 patients. Our data indicate no age-associated differences in peripheral monocyte counts or subset composition. However, age and outcome are associated with differences in monocyte activation status. Moreover, a distinct cytokine pattern of IL-6, IL-8 and TNF in elderly survivors versus non-survivors, which consolidates over the time of hospitalization, suggests that older patients with adverse outcomes experience an inappropriate immune response, reminiscent of an inflammaging driven immunoparalysis. Our study underscores the value, necessity and importance of longitudinal monitoring in elderly COVID-19 patients, as dynamic changes after symptom onset can be observed, which allow for a differentiated insight into confounding factors that impact the complex pathogenesis following an infection with SARS-CoV-2.

Indexed as

Acute DiseaseAdolescentAdultAgedAged, 80 and overAge FactorsAgingBiomarkersCOVID-19CytokinesHumansLongitudinal StudiesMiddle AgedMonocytesNeutrophilsProspective StudiesBiomarkersCytokinesagingCOVID-19immunoparalysisinflammaginginnate immune responsemonocytes

Identifiers

PMID34943881
PMCPMC8699549
OpenAlexW3217447189

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.