Cited by 1,940COVID-19 Clinical Research StudiesCytokine Signaling Pathways and InteractionsInflammation biomarkers and pathways

The DOI matches its Crossref record; 161 of the 162 references it cites were found in a registry or an index; none of the 97 sources its claims cite is checked for support yet.

Into the Eye of the Cytokine Storm

Open access
Tisoncik, Jennifer R., Korth, Marcus J., Simmons, Cameron P., Farrar, Jeremy, Martin, Thomas R., Katze, Michael G.·2012·Microbiology and Molecular Biology Reviews

Abstract

SUMMARY: The cytokine storm has captured the attention of the public and the scientific community alike, and while the general notion of an excessive or uncontrolled release of proinflammatory cytokines is well known, the concept of a cytokine storm and the biological consequences of cytokine overproduction are not clearly defined. Cytokine storms are associated with a wide variety of infectious and noninfectious diseases. The term was popularized largely in the context of avian H5N1 influenza virus infection, bringing the term into popular media. In this review, we focus on the cytokine storm in the context of virus infection, and we highlight how high-throughput genomic methods are revealing the importance of the kinetics of cytokine gene expression and the remarkable degree of redundancy and overlap in cytokine signaling. We also address evidence for and against the role of the cytokine storm in the pathology of clinical and infectious disease and discuss why it has been so difficult to use knowledge of the cytokine storm and immunomodulatory therapies to improve the clinical outcomes for patients with severe acute infections.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review argues that “cytokine storm” remains poorly defined despite its broad use, and that severe infections with respiratory viruses such as influenza, SARS-CoV, and dengue can drive overlapping, redundant proinflammatory cytokine networks that contribute to immunopathology. It highlights genomic evidence for cytokine/chemokine kinetics and host genetic variation, but concludes that immunomodulatory therapies have largely failed to improve outcomes in acute severe infections.

Key findings

  • The term “cytokine storm” lacks a precise definition; its first use appears in a 1993 graft-versus-host disease article, infectious-disease use began in early 2000, and it was first applied to avian H5N1 influenza in 2005. A Google search at the time yielded 323,000 hits, over 170,000 within the past year.
  • In severe infection, plasma cytokines follow a sequence: TNF and IL-1β plus chemokines IL-8 and MCP-1 appear early (minutes to hours), IL-6 rises more sustainedly, and IL-10 appears later as a counter-anti-inflammatory response; persistent downregulation of monocyte HLA-DR 3 to 4 days after severe sepsis and cytokine storm is associated with high mortality.
  • Genomic studies show early and sustained innate immune gene activation: a Vietnamese H5N1 case study compared 18 H5N1-infected people with 8 seasonal H1N1-infected people and found elevated MCP-1/CCL2, IP-10/CXCL10, MIG/CXCL9, and IL-8 in those progressing to severe lung injury; macaque H5N1 lung microarray analysis identified 45 significantly differentially expressed cytokine and chemokine genes.
  • Host genetics shape susceptibility: a hyperfunctioning TLR1 variant was linked to increased organ dysfunction and morbidity from Gram-positive bacteremia; TLR4 Asp299Gly occurred at high frequency in Ghanaian children with severe malaria; CISH polymorphisms were associated with bacteremia, tuberculosis, and severe malaria across several populations; and IFN-λ variants were associated with HCV clearance/treatment response.
  • Therapeutic attempts targeting the host response have mostly failed: corticosteroids, aspirin, monoclonal antibodies, anti-cytokine/anti-chemokine agents, plasma exchange, and statins have not been proven effective, and some worsened outcomes. In mice, S1P1-selective agonists protected against lethal pandemic H1N1 without affecting viral replication; gemfibrozil improved survival in H2N2-infected mice; and zanamivir plus celecoxib/mesalazine increased survival in highly pathogenic H5N1-infected mice.

Methods

  • Design: narrative review of cytokine storm in infection, with emphasis on respiratory viruses (influenza, SARS-CoV, dengue) and on high-throughput genomic approaches.
  • Data/sample: no primary dataset or new sample; the paper synthesizes published human clinical studies, animal models (mice, macaques, ferrets, pigs, rabbits), in vitro cell studies, and clinical trial reports.
  • Main analysis: integrates cytokine biology, pathology, host genetics, functional genomics/microarray findings, knockout and transgenic mouse studies, and immunomodulatory drug studies to describe mechanisms and therapeutic challenges.

Limitations

  • The paper states that an actual definition of cytokine storm is lacking, that molecular events precipitating it are poorly understood, and that its contribution to pathogenesis and optimal therapeutic strategies remain unclear.
  • The paper states that most studies rely on intermittent sampling from one compartment, typically peripheral blood, and measure only a few cytokines/chemokines, failing to interrogate the whole immune cascade in tissues; it also notes no agreement on what should be measured or how NGS data should be analyzed, and that interdependent systems are often studied in silos.
  • Evident from the text: this is a narrative review without a systematic search or meta-analysis, it reports no new primary data, and several key mechanistic conclusions derive from animal models that may not fully mimic human disease—the paper itself notes, for example, that no animal models mimic severe dengue in humans.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1128/mmbr.05015-11

Cites

161 of 161 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

0 of 97 cited sources checked · 0 supported · 0 flagged

Show all 72 claims

  • Probably not a substantial claim. 16
  • It may state two separate claims as one. 38
49 of 49
  • The paper relies on this without support.

    An actual definition of what constitutes a cytokine storm is lacking.

    “an actual definition of what constitutes a cytokine storm is lacking”
  • The paper relies on this without support.

    There is not a good understanding of the molecular events that precipitate a cytokine storm, of the contribution such a storm makes to pathogenesis, or of what therapeutic strategies might be used to prevent or quell it.

    “there is not a good understanding of the molecular events that precipitate a cytokine storm, of the contribution such a “storm” makes to pathogenesis, or of what therapeutic strategies might be used to prevent the storm or quell it once it has started.”
  • The paper relies on this without support.

    We still do not understand the complex nature of the immune response and have probably underestimated its dynamic nature during acute infection.

    “We still do not understand the complex nature of the immune response and have probably underestimated its dynamic nature during acute infection.”
  • The paper relies on this without support.

    Inflammation associated with a cytokine storm begins at a local site and spreads throughout the body via the systemic circulation.

    “Inflammation associated with a cytokine storm begins at a local site and spreads throughout the body via the systemic circulation.”
  • The paper relies on this without support.

    TNF is a central cytokine in acute viral diseases, including those caused by influenza virus, dengue virus, and Ebola virus.

    “TNF is now considered a central cytokine in acute viral diseases, including those caused by influenza virus, dengue virus, and Ebola virus.”
  • The paper relies on this without support.

    There are no animal models that mimic the clinical syndrome of severe dengue in humans.

    “There are no animal models that mimic the clinical syndrome of severe dengue in humans, and therefore observational studies of patient cohorts are the main source of understanding the immunopathogenesis of dengue virus infections.”
  • The authors state this as an assumption.

    The host anamnestic immune response mechanistically contributes to the syndrome of increased capillary permeability that characterizes severe dengue.

    “In these so-called heterotypic infections, the host anamnestic immune response is postulated to mechanistically contribute to the syndrome of increased capillary permeability that characterizes severe dengue.”
  • The authors state this as an assumption.

    Increased TLR expression leads to a stage of hyperresponsiveness to TLR agonists.

    “The increased TLR expression is thought to lead to a stage of hyperresponsiveness to TLR agonists.”
8 of 8

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Metadata

Authors
Tisoncik, J. R., Korth, M. J., Simmons, C. P., Farrar, J., Martin, T. R., & Katze, M. G.
Affiliations
  • Department of Microbiology, University of Washington, Seattle, Washington, USA
  • University of Washington (US)
  • Oxford University Clinical Research Unit (VN)
Venue
Microbiology and Molecular Biology Reviews
Published
2012-03
Volume
76
Issue
1
Pages
16-32
ISSN
  • 1092-2172 (ISSN-L)
  • 1098-5557
OpenAlex
W2129239355
Cited by
1,940
References
162
Citations by year
2026: 41 · 2025: 75 · 2024: 110 · 2023: 159 · 2022: 245 · 2021: 427 · 2020: 453 · 2019: 66 · 2018: 90 · 2017: 65 · 2016: 66 · 2015: 43 · 2014: 54 · 2013: 35 · 2012: 10
FWCI
5.83
Type
journal article
Language
en
Open access
Locations
  • Microbiology and Molecular Biology Reviews (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion)
Funders
  • U.S. Department of Health and Human Services
  • National Institutes of Health (HHSN272200800060C)
  • National Institute on Drug Abuse (P30DA015625)
  • National Institute of Allergy and Infectious Diseases (U54AI081680, P01AI058113, HHSN272200800060C)
  • National Center for Research Resources (P51‐RR00166, R24RR016354, P51RR000166)
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Life Sciences › Immunology and Microbiology › Immunology › Cytokine Signaling Pathways and Interactions
  • Life Sciences › Immunology and Microbiology › Immunology › Inflammation biomarkers and pathways
Keywords
cytokine storm, inflammatory cytokines, viral infection, H5N1 avian influenza, immunomodulatory therapy
MeSH terms
Animals, Communicable Diseases, Humans, Signal Transduction, Cytokines, Influenza A Virus, H5N1 Subtype

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