Evidence map›Paper›PMID 36507225›Full record

ArticleiScience2023

A multi-omics based anti-inflammatory immune signature characterizes long COVID-19 syndrome.

Johannes J Kovarik, Andrea Bileck, Gerhard Hagn, Samuel M Meier-Menches, Tobias Frey, Anna Kaempf, Marlene Hollenstein, Tarik Shoumariyeh, Lukas Skos, Birgit Reiter and 8 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
11.8field-weighted citation impact, top 1% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 101 citations in OpenAlex.

  1. Pooled it
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  6. Phytochemical Profile and Antioxidant Potential ofAntioxidants (Basel, Switzerland) · 2026
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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

18 authors at 3 institutions in 1 country.

Johannes J KovarikDepartment of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna 1090, Austria.
Andrea BileckJoint Metabolome Facility, Faculty of Chemistry, University of Vienna, Waehringer Straße 38, 1090 Vienna, Austria.
Gerhard HagnDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Straße 38, 1090 Vienna, Austria.
Samuel M Meier-MenchesJoint Metabolome Facility, Faculty of Chemistry, University of Vienna, Waehringer Straße 38, 1090 Vienna, Austria.
Tobias FreyDepartment of Laboratory Medicine, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Anna KaempfDepartment of Laboratory Medicine, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Marlene HollensteinDepartment of Laboratory Medicine, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Tarik ShoumariyehDepartment of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna 1090, Austria.
Lukas SkosDepartment of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Straße 38, 1090 Vienna, Austria.
Birgit ReiterDepartment of Laboratory Medicine, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Marlene C GernerDivision of Biomedical Science, University of Applied Sciences FH Campus Wien, Vienna, Austria.
Andreas SpannbauerDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Ena HasimbegovicDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Doreen SchmidlDepartment of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Gerhard GarhöferDepartment of Clinical Pharmacology, Medical University of Vienna, Vienna, Austria.
Mariann GyöngyösiDepartment of Medicine II, Division of Cardiology, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Klaus G SchmettererDepartment of Laboratory Medicine, Medical University of Vienna, Waehringer Gürtel 18-20, Vienna, Austria.
Christopher GernerJoint Metabolome Facility, Faculty of Chemistry, University of Vienna, Waehringer Straße 38, 1090 Vienna, Austria.
Medical University of Vienna · ATUniversity of Vienna · ATHochschule Campus Wien · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate long COVID-19 syndrome (LCS) pathophysiology, we performed an exploratory study with blood plasma derived from three groups: 1) healthy vaccinated individuals without SARS-CoV-2 exposure; 2) asymptomatic recovered patients at least three months after SARS-CoV-2 infection and; 3) symptomatic patients at least 3 months after SARS-CoV-2 infection with chronic fatigue syndrome or similar symptoms, here designated as patients with long COVID-19 syndrome (LCS). Multiplex cytokine profiling indicated slightly elevated pro-inflammatory cytokine levels in recovered individuals in contrast to patients with LCS. Plasma proteomics demonstrated low levels of acute phase proteins and macrophage-derived secreted proteins in LCS. High levels of anti-inflammatory oxylipins including omega-3 fatty acids in LCS were detected by eicosadomics, whereas targeted metabolic profiling indicated high levels of anti-inflammatory osmolytes taurine and hypaphorine, but low amino acid and triglyceride levels and deregulated acylcarnitines. A model considering alternatively polarized macrophages as a major contributor to these molecular alterations is presented.

Indexed as

immune responseImmunologyomics

Identifiers

PMID36507225
PMCPMC9719844
OpenAlexW4311770463

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.