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Event: 1868
Key Event Title
Hyperinflammation
Short name
Biological Context
Level of Biological Organization |
---|
Tissue |
Organ term
Key Event Components
Process | Object | Action |
---|---|---|
chronic inflammatory response | increased | |
regulation of chronic inflammatory response | increased | |
interleukin-6 production | interleukin-6 | increased |
interleukin-1 beta production | interleukin-1 beta | increased |
tumor necrosis factor secretion | tumor necrosis factor alpha | increased |
Increased inflammatory response | increased | |
Increased serum ferritin | Ferritin | increased |
lactate dehydrogenase activity | increased | |
Elevated C-reactive protein level | C-reactive protein | increased |
Lymphopenia | lymphocyte | decreased |
Key Event Overview
AOPs Including This Key Event
AOP Name | Role of event in AOP | Point of Contact | Author Status | OECD Status |
---|---|---|---|---|
Dysregulated fibrinolysis/bradykinin leading to hyperinflammation | AdverseOutcome | Cataia Ives (send email) | Under development: Not open for comment. Do not cite | Under Development |
SARS-CoV2 to hyperinflammation | AdverseOutcome | Arthur Author (send email) | Under development: Not open for comment. Do not cite | |
TLR9 activation leading to Multi Organ Failure and ARDS | KeyEvent | Cataia Ives (send email) | Under development: Not open for comment. Do not cite | |
Cytopathic SARS-CoV-2 leads to hyperinflammation | AdverseOutcome | Allie Always (send email) | Under development: Not open for comment. Do not cite |
Taxonomic Applicability
Life Stages
Sex Applicability
Term | Evidence |
---|---|
Mixed |
Key Event Description
Hyperinflammation can be defined as an uncontrolled and self-perpetuating inflammatory process that results in tissue damage. The state of hyperinflammation is also observed in cytokine storm syndrome, cytokine release syndrome, haemophagocytic lymphohistiocytosis, macrophage activation syndrome and in conditions of sepsis; however, it is not a frequent observation. For example, in COVID-19 infection, hyperinflammation plays a critical role in driving the disease severity. Although high viral titre initiates the cascade, the disease severity itself is dependent on the severity of the inflammatory state.
Clinically, the hallmarks of hyperinflammation state include excessive serum levels of pro-inflammatory mediator C-reactive protein (CRP), reduced or absence of lymphocytes (lymphopenia), high levels of ferritin and D-dimer, and increased lactate dehydrogenase. Higher neutrophil to lymphocyte ratio is another clinical marker. Some research studies have also associated high serum levels of IL6 protein and accumulation of neutrophils to be causal and indicative of hyperinflammation. Other molecular markers associated with hyperinflammation include IL1ꞵ and TNFɑ and have together with IL6 and a multitude of other cytokines, chemokines and other proinflammatory factors been identified as potential therapeutic targets (Desvaux et al. 2021). While the total serum levels of these markers is important, more critically, how fast the levels increase in serum is taken into consideration in judging the severity (Bergamaschi et al. 2021). The number of studies that have reported on the various markers of hyperinflammation is listed in Table-1.
Although the initiation and promotion of inflammation involves several cell types including epithelial cells, alveolar macrophages, type I and II pneumocytes and dendritic cells, the cell types that play role on inducing hyperinflammatory state may include macrophages, dendritic cells and neutrophils. Lack of neutrophil plays an important role in slowing the viral clearance and thus perpetuating the condition. Hyperferritinaemia is associated with high macrophage activation.
Weight of evidence
KE Hyperinflammation
References |
Markers |
Comments |
||||||
Research |
Clinical |
Clinical |
Clinical |
Clinical |
Research |
|||
IL6, TNFa |
CRP |
Lymphopenia |
Ferritin |
Lactate dehydrogenase |
Impaired IFN 1 type response |
|||
Human |
Lazear H.M et al., Immunity. 2019;50:907–923. |
Increased protein levels, NFkB pathway activation |
Reduced IFN stimulated genes |
|||||
Human |
Zhang B, Zhou X, Qiu Y, et al. Clinical characteristics of 82 death cases with COVID‐19. medRxiv. 2020. |
Increased |
Increased |
Present, also thrombocytopenia |
IncreasedIncreased D-dimer |
Increased |
||
Human |
J Clin. Invest. 2020;130(5):2620-2629. https://doi.org/10.1172/JCI137244 |
Increased |
Increased |
Present |
Increased D-dimer |
Increased |
||
Human |
Hadjadj et al., Science doi: 10.1126/science.abc6027 |
Increasedprotein |
Impaired |
|||||
Human |
Del Valle DM et al., Medrxiv : the Preprint Server for Health Sciences. 2020 May. |
Increased protein |
Impaired |
|||||
Human |
Chen G ei al., J Clin Invest. 2020;130(5):2620-2629 |
Increased IL-6 |
Present |
Increased ferritin and D-dimer |
Increased |
Marginal reduction |
||
Human |
Cheng L et al., Journal of Clinical Laboratory Analysis Volume34, Issue10 October 2020 e23618 |
IL-6 increased |
Increased ferritin levels |
Review – meta analysis of 52 studies that have data for ferritin levels. Showing severity can be predicted by ferritin levels. Connections with inflammation state. |
||||
Human |
Manson JJ et al., The Lancet Rheumatology Volume 2, Issue 10, October 2020, Pages e594-e602 |
Increased |
Increased Ferritin levels |
Logitudinal cohort study showing association of hyperinflammation with prognosis. Only CRP and Ferritin levels considered. |
||||
Human |
Caricchio R, et al., Ann Rheum Dis doi:10.1136/ annrheumdis-2020-218323 |
Increased |
Increased |
Increased |
Recommended criteria for assessing hyperinflammation |
|||
Human |
Mojtabavi, H., et al., Eur Cytokine Netw 31, 44–49 (2020). https://doi.org/10.1684/ecn.2020.0448 |
Increased |
Review- meta-analysis of available data. 11 studies included. |
|||||
Human |
Henry B et al., Acta Biomed. 2020;91(3):e2020008. doi:10.23750/abm.v91i3.10217 |
Lymphopenia and neutrophilia |
Meta-analysis study – 22 studies included. Correlation between lymphopenia and neutrophilia at admission with severity of disease. |
|||||
Human |
Jin J-M et al., Front. Public Health, 29 April 2020 | https://doi.org/10.3389/fpubh.2020.00152 |
Gender differences |
||||||
Ex vivo, human lung tissue |
Chu H, et al., Clin Infect Dis. 2020;71(6):1400-1409. |
Increased IL-6 |
Impaired IFN I, II, III signalling |
|||||
Mouse |
Channappanavar et al., Cell Host Microbe 19 (2) (2016) 181–193, |
Reduced IFN I response |
SARS-COV |
How It Is Measured or Detected
Domain of Applicability
Hyperinflammation is observed in all age groups with high rates of infection and mortality observed in aged population. In children, although the rate of infection is low, hyperinflammatory syndrome is observed leading to long term disabilities. However, mortality rate in young children and adults below 40 years of age is less pronounced. Data in other developmental stages is lacking.
Prevalence of hyperinflammation is same in men and women; however, studies have found that men develop more severe symptoms than women.
Regulatory Significance of the Adverse Outcome
References
1. Caricchio R, et al., Ann Rheum Dis doi:10.1136/ annrheumdis-2020-218323
2. Channappanavar et al., Cell Host Microbe 19 (2) (2016) 181–193,
3. Chen G ei al., J Clin Invest. 2020;130(5):2620-2629
4. Cheng L et al.,Journal of Clinical Laboratory Analysis Volume34, Issue10, October 2020 e23618, https://doi.org/10.1002/jcla.23618
5. Chu H, et al., Clin Infect Dis. 2020;71(6):1400-1409.
6. Del Valle DM et al., Medrxiv : the Preprint Server for Health Sciences. 2020 May.
7. J Clin. Invest. 2020;130(5):2620-2629. https://doi.org/10.1172/JCI137244
8. Jin J-M et al., Front. Public Health, 29 April 2020 | https://doi.org/10.3389/fpubh.2020.00152
9. Hadjadj et al., Science doi: 10.1126/science.abc6027
10. Henry B et al., Acta Biomed. 2020;91(3):e2020008. doi:10.23750/abm.v91i3.10217
11. Lazear H.M et al., Immunity. 2019;50:907–923.
12. Manson JJ et al., The Lancet Rheumatology Volume 2, Issue 10, October 2020, Pages e594-e602
13. Mojtabavi, H., et al., Eur Cytokine Netw 31, 44–49 (2020). https://doi.org/10.1684/ecn.2020.0448
14. Zhang B, Zhou X, Qiu Y, et al. Clinical characteristics of 82 death cases with COVID‐19. medRxiv. 2020.