Evidence map›Paper›PMID 36012146›Full record

ArticleInternational journal of molecular sciences2022

Cytokine Storm Signature in Patients with Moderate and Severe COVID-19.

Olga Kalinina, Alexey Golovkin, Ekaterina Zaikova, Arthur Aquino, Vadim Bezrukikh, Olesya Melnik, Elena Vasilieva, Tatiana Karonova, Igor Kudryavtsev, Evgeny Shlyakhto

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. T Regulatory Cell Subsets Do Not Restore for One Year After Acute COVID-19.International journal of molecular sciences · 2024
    Article
  12. Review
  13. Article
  14. IFN Lambda Deficiency Contributes to Severe COVID-19 Outcomes.International journal of molecular sciences · 2024
    Article
  15. Observational
  16. Observational
  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
  20. COVID-19 Pneumonia and Cytokine Storm Syndrome.Advances in experimental medicine and biology · 2024
    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

10 authors at 1 institution in 1 country.

Olga KalininaAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.ORCID 0000-0003-1916-5705
Alexey GolovkinAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.ORCID 0000-0002-7577-628X
Ekaterina ZaikovaAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.ORCID 0000-0003-0584-2330
Arthur AquinoAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.
Vadim BezrukikhAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.
Olesya MelnikAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.
Elena VasilievaAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.ORCID 0000-0002-2115-8873
Tatiana KaronovaAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.
Igor KudryavtsevAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.
Evgeny ShlyakhtoAlmazov National Medical Research Centre, 197341 St. Petersburg, Russia.
Federal Almazov North-West Medical Research Centre · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2022-301
6 · The paper itself

Abstract

Hypercytokinemia, found in SARS-CoV-2 infection, contributes to multiple organ dysfunctions with acute respiratory distress syndrome, shock etc. The aim of this study was to describe cytokine storm signatures in patients with acute COVID-19 and to investigate their influence on severity of the infection. Plasma levels of 47 cytokines were investigated in 73 patients with moderate and severe COVID-19 (41 and 32, respectively) and 11 healthy donors (HD). The most elevated levels comparing patients and the HD were observed for seven pro-inflammatory cytokines (IL-6, IL-8, IL-15, IL-18, IL-27, IFNγ, TNFα), three chemokines (GROα, IP-10, MIG), two anti-inflammatory cytokines (IL-1RA, IL-10), and two growth factors (G-CSF, M-CSF). The patients with severe disease had significantly higher levels of FGF-2/FGF-basic, IL-1β, and IL-7 compared to the HD. The two groups of patients differed from each other only based on the levels of EGF, eotaxin, and IL-12 p40. Pneumonia lung injury, characterized by computer tomography, positively correlated with levels of EGF, IP-10, MCP-3 levels and negatively with IL-12 p40. Pro-inflammatory factors including IL-6, TNFα, and IP-10 negatively correlated with the frequency of the circulating T-helper17-like cells (Th17-like) and follicular Th cells that are crucial to develop SARS-CoV-2-specific plasma cells and memory B cells. Obtained data on the cytokine levels illustrate their influence on progression and severity of COVID-19.

Indexed as

COVID-19Cytokine Release SyndromeChemokine CXCL10CytokinesEpidermal Growth FactorHumansInterleukin-12Interleukin-6SARS-CoV-2Tumor Necrosis Factor-alphaChemokine CXCL10CytokinesEpidermal Growth FactorInterleukin-12Interleukin-6Tumor Necrosis Factor-alphachemokinesCOVID-19cytokinesgrowth factorsmultiplex

Identifiers

PMID36012146
PMCPMC9408700
OpenAlexW4293678181

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.