| Literature DB >> 32696489 |
Y-M Gao1, G Xu2, B Wang1, B-C Liu1.
Abstract
Cytokine storm syndrome (CSS) is a critical clinical condition induced by a cascade of cytokine activation, characterized by overwhelming systemic inflammation, hyperferritinaemia, haemodynamic instability and multiple organ failure (MOF). At the end of 2019, the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, China, and rapidly developed into a global pandemic. More and more evidence shows that there is a dramatic increase of inflammatory cytokines in patients with COVID-19, suggesting the existence of cytokine storm in some critical illness patients. Here, we summarize the pathogenesis, clinical manifestation of CSS, and highlight the current understanding about the recognition and potential therapeutic options of CSS in COVID-19.Entities:
Keywords: COVID-19; SARS-CoV-2; cytokine storm syndrome; recognition; treatment
Mesh:
Substances:
Year: 2020 PMID: 32696489 PMCID: PMC7404514 DOI: 10.1111/joim.13144
Source DB: PubMed Journal: J Intern Med ISSN: 0954-6820 Impact factor: 13.068
Fig. 1Proposed pathogenesis of CSS. In the setting of CAR T‐cell therapy, CAR T cells can recognize target cells (tumour cells) and induce the lysis of target cells, along with the activation of CAR T cells and T cell, causing a consecutive release of cytokines including IFN‐γ or TNF‐α. These cytokines trigger a cascade reaction by activation of innate immune cells including macrophages, DCs and endothelial cells with further cytokine releasing, which finally leads to a cytokine storm. In the setting of HLH, mutations in perforin coding gene or genes essential for perforin transport will cause a failure of normal cytolytic function and inability to clear the antigenic stimulus, leading to the persistent activation of macrophages and T cells by the infected cells, accompanied by excessive secretion of proinflammatory cytokines, which finally leads to a cytokine storm. Abbreviations: CSS: cytokine storm syndrome; CAR: chimeric antigen receptor; IFN‐γ: interferon‐gamma; TNF‐α: tumour necrosis factor‐alpha; IL: interleukin; CTL: cytotoxic T lymphocytes; NK cell: natural killer cell; and DC: dendritic cell.
Major cytokines involved in CSS in the context of different diseases
| Disease background | Cytokines | References |
|---|---|---|
| MAS | IFN‐γ, TNF‐α, IL‐1β, IL‐2, sIL2Rα, IL‐6, IL‐10, IL‐12, IL‐18 | [ |
| CAR T cell therapy | IFN‐γ, TNF‐α, IL‐1, IL‐2, sIL2Rα, IL‐6, IL‐8, IL‐10, IL‐12, MCP‐1, MIP‐1a, GM‐CSF | [ |
| H5N1 influenza | IFN‐γ, IL‐6, IL‐8, IL‐10, MCP‐1, MIG, IP‐10, | [ |
| H1N1 influenza | IFN‐γ, TNF‐α, IL‐6, IL‐8, IL‐9, IL‐17, IL‐15, IL‐12p70 | [ |
| SARS | IFN‐γ, IL‐1, IL‐6, IL‐12, TGF‐β, MCP‐1, MIG, IP‐10, IL‐8 | [ |
| MERS | IFN‐α, IL‐1β, IL‐2, IL‐6, IL‐8, MCP‐1, MIP‐1a, CCL‐5 | [ |
CAR T cell, chimeric antigen receptor T cell; CCL, chemokine (C‐C motif) ligand; CSS, cytokine storm syndrome; GM‐CSF, granulocyte‐macrophage colony‐stimulating factor; IFN‐γ, interferon‐γ; IL, interleukin; IP‐10, interferon‐gamma‐induced protein‐10; MAS, macrophage activation syndrome; MCP‐1, monocyte chemoattractant protein 1; MERS, Middle East respiratory syndrome; MIG, monokine induced by IFN‐gamma; MIP‐1a, macrophage inflammatory protein 1a; SARS, severe acute respiratory syndrome; sIL2Rα, soluble IL2 receptor α; TGF‐β, transforming growth factor‐β; TNF‐α, tumour necrosis factor‐α.
Fig. 2Possible mechanisms of cytokine storms in COVID‐19. SARS‐CoV‐2 transmitted by air droplets reaches the lungs. On the one hand, the S protein on the surface of the virus binds to the ACE2 receptor in alveolar epithelial cells, resulting in the down‐regulation of ACE2 expression and an increase of angiotensin level, which leads to increased pulmonary capillary permeability and pulmonary oedema. On the other hand, SARS‐CoV‐2 reaches the lungs again through blood circulation and interacts with ACE2 receptors on the surface of alveolar capillary endothelial cells, making the alveolar capillary endothelium the target of attack by the immune system, thus inducing a series of immune responses and aggravating lung injury. The imbalance of lymphocyte subsets characterized by the decrease of CD4+, CD8+ T cells, the increase of the number of proinflammatory Th17 cells and the increase of CD8+ cytotoxic particles, aggravated the disorder of host immune system. Inflammatory monocytes amplify cytokines production. In addition, many kinds of cytokines are released in patients with COVID‐19, which contribute to the formation of a cytokine storm. Abbreviations: ACE2: angiotensin‐converting enzyme 2 and NK cell: natural killer cell.
Summary of clinical characteristics of severe patients with COVID‐19 in various studies
| Studies | Huang et al [ | Wang et al [ | Guan et al [ | Cao et al [ | Qi et al [ | |
|---|---|---|---|---|---|---|
| Basic clinical features | Number of severe patients | 13 | 36 | 173 | 19 | 50 |
| Age, years | 49.0 (41.0–61.0) | 66 .0 (57.0–78.0) | 52.0 (40.0–65.0) | 63.7 | 71.5 (65.8, 77.0) | |
| Male (%) | 85 | 61.1 | 57.8 | 89.5 | 78.0 | |
| Comorbidities | Hypertension | 15.0 | 58.3 | 23.7 | 31.6 | 26.0 |
| Diabetes | 8.0 | 22.2 | 16.2 | 10.5 | 24.0 | |
| Cardiovascular disease | 23.0 | 25.0 | 2.3 | 26.3 | NR | |
| Common symptoms | Fever (%) | 100.0 | 100.0 | 91.3 | 94.7 | 78.0 |
| Headache (%) | 8.3 | 8.3 | 15.0 | 0 | NR | |
| Myalgia (%) | 33.3 | 33.3 | 17.3 | 31.6 | 74.0 | |
| Cough (%) | 76.0 | 58.3 | 70.5 | 36.8 | 68.0 | |
| Dyspnoea (%) | 92.0 | 63.9 | 37.6 | 36.8 | 34.0 | |
| Diarrhoea (%) | 0 | 16.7 | 5.8 | 0 | NR | |
| Laboratory examinations | Lymphocytopaenia (%) | 85 | NR | 95.5 | 84.2 | 92.0 |
| Thrombocytopaenia (%) | 8 | NR | 57.7 | 31.6 | 38.0 | |
| AST↑(%) | 62 | NR | 39.4 | 42.1 | NR | |
| Creatinine↑ (%) | 15 | NR | 4.3 | 15.8 | NR | |
| CK↑ (%) | 46 | NR | 19.0 | NR | 36.0 | |
| LDH↑ (%) | 92 | NR | 58.1 | NR | 36.0 | |
| Troponin↑ (%) | 31 | NR | NR | 47.4 | 14.3 | |
| CRP↑ (%) | NR | NR | 81.5 | 78.6 | 58.0 | |
| ESR↑ (%) | NR | NR | NR | 100 | NR | |
| Serum ferritin↑ (%) | NR | NR | NR | NR | NR | |
| D‐dimer↑ (%) | NR | NR | 59.6 | 63.2 | 26.0 | |
| Day from illness onset to dyspnoea (day) | 8.0 (6.0‐17.0) | 6.5 (3.0‐10.8) | 5.0 (3.0‐8.0) | NR | 3.0 (2.0‐5.0) | |
| Complications | ARDS (%) | 85 | 61.1 | 15.6 | NR | 54.0 |
| Acute cardiac injury* (%) | 31 | 22.2 | NR | NR | 6.0 | |
| Acute kidney injury (%) | 23 | 8.3 | 2.9 | NR | NR | |
| Co‐infection (%) | 31 | NR | NR | NR | NR | |
| Shock (%) | 23 | 30.6 | 6.4 | NR | 22.0 |
Acute cardiac injury* was defined if the serum levels of cardiac biomarkers (e.g. troponin I) were above the 99th percentile upper reference limit or new abnormalities were shown in electrocardiography and echocardiography; ARDS, acute respiratory distress syndrome; AST, aspartate aminotransferase; CK, creatinine kinase; CRP, C‐reactive protein; ESR, erythrocyte sedimentation rate; LDH: lactose dehydrogenase; NR, not reported.