| Literature DB >> 35751653 |
Shima Makaremi1,2, Ali Asgarzadeh3,2, Hamed Kianfar3,2, Alireza Mohammadnia2, Vahid Asghariazar2, Elham Safarzadeh4,5.
Abstract
A global pandemic has erupted as a result of the new brand coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This pandemic has been consociated with widespread mortality worldwide. The antiviral immune response is an imperative factor in confronting the recent coronavirus disease 2019 (COVID-19) infections. Meantime, cytokines recognize as crucial components in guiding the appropriate immune pathways in the restraining and eradication of the virus. Moreover, SARS-CoV-2 can induce uncontrolled inflammatory responses characterized by hyper-inflammatory cytokine production, which causes cytokine storm and acute respiratory distress syndrome (ARDS). As excessive inflammatory responses are contributed to the severe stage of the COVID-19 disease, therefore, the pro-inflammatory cytokines are regarded as the Achilles heel during COVID-19 infection. Among these cytokines, interleukin (IL-) 1 family cytokines (IL-1, IL-18, IL-33, IL-36, IL-37, and IL-38) appear to have a strong inflammatory role in severe COVID-19. Hence, understanding the underlying inflammatory mechanism of these cytokines during infection is critical for reducing the symptoms and severity of the disease. Here, the possible mechanisms and pathways involved in inflammatory immune responses are discussed.Entities:
Keywords: COVID-19; Inflammation; Interleukin-1 family; Interleukin-18; Interleukin-33
Mesh:
Substances:
Year: 2022 PMID: 35751653 PMCID: PMC9243884 DOI: 10.1007/s00011-022-01596-w
Source DB: PubMed Journal: Inflamm Res ISSN: 1023-3830 Impact factor: 6.986
Fig. 1Coronaviruses and coronavirus Spike Glyco's genomic
Fig. 2Healthy alveoli versus damaged alveoli in SARS-CoV-2 infection. Depicted the normal alveoli with coordinated functions (left), and damaged alveoli in SARS-CoV-2 infection (right). The wide cytokines production following immune activation through PAMPs or DAMPs, which recruited more immune cells to the infection site, such as neutrophils and lymphocytes, triggers an inflammatory cascade leading to asynchronized immune responses and ultimately to the pyroptosis of the pneumocytes
IL-1 family levels and its variation in the COVID-19 patients
| Cytokine | Findings | References |
|---|---|---|
| IL-1 | Elevated serum levels of IL-1 | [ |
| Correlation of IL-1 levels with disease severity | [ | |
| Elevated levels of IL-1β, and IL-1Ra in the BALF | [ | |
| Not significantly increased in the fecal samples | [ | |
| IL-18 | Elevated serum levels of NLRP3 inflammasome-derived products, IL-18, and 18BP, activated caspase-1, inflammatory factors, such as IL‐1, IL-4, IL-6, IL-7, IL-10, TNF-α, IFN-γ, and measurements of disease activity, such as LDH, CRP, ferritin | [ |
| Elevated levels of NLRP3 independent IL-18 processing enzymes, like granzyme B and proteinase 3 | [ | |
| Elevated levels of the IL-18BP | [ | |
| Correlation between IL-18 levels and the activation of innate NK cells, γδ T cells, CD4 + , and CD8 + T cells | [ | |
| Correlation of IL-18 levels with disease severity | [ | |
| Identifying IL-18, IL-15 and Gal-9, as organ-failure-specific immunological markers of respiratory system failure | [ | |
| Correlations of the IL-18 with hematological parameters, renal and hepatic biochemical markers, and cardiac injury markers | [ | |
| Correlations of the IL-18 with increased levels of fibrinogen and D-dimer, and decreased platelet numbers | [ | |
| Higher serum levels of IL-18, and LDH in patients with underlying liver diseases | [ | |
| Correlations of IL-18 coupled with IL-6, IFN-γ, IP-10, and RANTES with LDL and HDL in the recovered patients | [ | |
| Higher levels of IL-18, IL-8, and CCL5 and more robust induction of non-classical MOs in male patients | [ | |
| Correlation of IL-18 and IL-18BP with patients’ age | [ | |
| Positive associations of IL-18 levels with the saliva viral loads | [ | |
| Elevated levels of IL-18 in children with MIS-C | [ | |
| High levels of IL-18 consistent with CCR2, CX3CR1, CCL3, CXCL9, and macrophage inflammatory factors in the recovery stages of the infection | [ | |
| Higher concentrations of IL-18 as a differentiating marker between COVID-19 and influenza, AOSD, MAS, and sHLH | [ | |
| Negative correlation of IL-18 levels with anti-SARS-CoV-2 IgA and IgG Abs in the nasal fluids | [ | |
| Increased IL-18 levels in the fecal samples | [ | |
| Negative association between IL-18 gene expression and risk of the SARS-CoV-2 infection | [ | |
| High gene expression of IL-18, IL-6, IL-8, TNF-α, IFN-γ, and CCL5 in the postmortem cardiac tissues | [ | |
| IL-33 | Elevated serum levels of the IL-33 | [ |
| Correlation of the IL-33 with clinical and radiographic parameters of the patients and disease severity | [ | |
| Positive correlation of the IL-33 with TNF-α, IL-1β, IL-6, IL-12, and IL-23 levels | [ | |
| Negative correlation of the IL-33 with O2 saturation | ||
| Correlation of IL-33 and IL-12p70 levels with seroconversion of IgG Abs | [ | |
| Correlation of the IL-33 and IL-18 levels with renal toxicity markers such as GST and osteopontin | [ | |
| Un-changed levels of the IL-33 accompanied by increased levels of the sST2 receptor | [ | |
| Inverse correlation of the serum sST2 levels with the counts of CD4+ and CD8+ T cells | ||
| Positive correlation of the serum sST2 levels with disease severity | ||
| Correlation of the elevated expression of IL-33 in the cells isolated from the BALF samples with disease severity | [ | |
| IL-33 gene as one of the target genes of the SARS-CoV-2 encoded miRNAs | [ | |
| IL-33 gene co-expression with ACE2, in human lung epithelial cells | [ | |
| Increased serum levels of the IL-33, alongside the IL-1α, IL-6, IFNs, TNF-α, and chemokines in children with PIMS-TS compared to those of the COVID-19, seropositive for SARS-CoV-2 infection, and control children | [ | |
| Higher concentration of IL-33 in the nasal mucosa of CRSwNP patients compared to COVID-19 patients | [ | |
| Depletion of the IL-33 and AEC2 in the postmortem lung tissues of COVID-19 patients compared to those of the healthy subjects and patients with COPD or IPF | [ | |
| Increased amounts of IL-33 and AEC2 in the fibrotic lung samples of the COVID-19 survived patients compared to patients with COPD and IPF | ||
| Heighten IL-33 levels in SARS-CoV-2 co-infected patients with LTBI | [ | |
| IL-36 | Increased serum levels of the IL-36α and IL-38 | [ |
| Positive correlation of the IL-36α with disease severity | ||
| IL-37 | Elevated plasma levels of IL-37 together with higher IFN-α and lower IL-6 and IL-8 levels | [ |
| Lower levels of the IL-37 and higher IL-8 and CRP levels | ||
| IL-38 | Lower serum levels of the IL-37 and vitamin D | [ |
| Negative correlation of the IL-37 with disease severity | [ | |
| Association of the IL-37 genes mutations with the COVID-19 susceptibility | [ |
Ab, antibody; ACE2, angiotensin-converting enzyme 2; AEC2, alveolar epithelial cells type 2; AOSD, adult-onset still’s disease; BALF, bronchoalveolar lavage fluid; COPD, chronic obstructive pulmonary disease; CRP, C-reactive protein; CRSwNP, chronic rhinosinusitis with nasal polyps; GST, glutathione S-transferase; HDL, high-density lipoprotein; sHLH, secondary hemophagocytic lymphohistiocytosis; IFN, interferon; IL, interleukin; IL-18BP, IL-18 binding protein; IPF, idiopathic pulmonary fibrosis; LDH, lactate dehydrogenase; LDL, light-density lipoprotein; LTBI, latent Tuberculosis infection; MAS, macrophage activation syndrome; NLRP3, nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3; NK, natural killer; PIMS-TS, pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 infection; RANTES, regulated on activation; normal T expressed and secreted; miRNA, microRNA
In vitro evaluations of the inflammatory pathways related to IL-1 family cytokines in the SARS-CoV-2 infection
| Cytokine | Findings | Reference |
|---|---|---|
| IL-1 | Increased expression of IL-1β following NLRP3 inflammasome and caspase-1 activation in the purified PBMCs, granulocyte subsets, and T cells | [ |
| Increased expressions of IL-1β following NLRP3 inflammasome and caspase-1 activation in direct infection of PBMCs with SARS-CoV-2 | [ | |
| Lower pro-IL-1β together with higher IL-18, and IFN-α, IFN-β, IFN-λ mRNA expression in the peripheral blood cells | [ | |
| Higher production of IL-1β in the anti-CD3/CD28 Ab stimulated PBMCs of the COVID-19 patients compared to healthy controls | [ | |
| Up-regulated expression IL-1β in the direct infection of LORGs, HSCs, HAECs, EPCs, and VSELs by SRAS-CoV-2 | [ | |
| Increased IL-1β levels in the SARS-CoV-2 infected PBMCs with recombinant form of BPIFB4 | [ | |
| IL-18 | Increased expression of IL-1β, IL-18, IL-18BPa, and GSDMD following NLRP3 inflammasome and caspase-1 activation in the purified PBMCs, granulocyte subsets, and T cells | [ |
| Increased expressions of ASC, IL-1β, IL‐18, IL‐6, IL‐12, IL‐15, IL‐16, IL‐36, TNF-α, and chemokine receptors following NLRP3 inflammasome and caspase-1 activation in direct infection of PBMCs with SARS-CoV-2 | [ | |
| Higher caspase-1 activation in T cells isolated from patients with underlying liver diseases | [ | |
| Higher IL-18 together with IFN-α, IFN-β, IFN-λ, and lower pro-IL-1β mRNA expression in the peripheral blood cells | [ | |
| Up-regulated gene expression of IL-18, amphiregulin, epiregulin, and ADAMTS2, and increased HIF-1 signaling pathway in the novel MO subsets | [ | |
| Higher production of IL-18 and IL-1β in the anti-CD3/CD28 Ab stimulated PBMCs of the COVID-19 patients compared to healthy controls | [ | |
| Partially decreased production of IL-18 in the co-culture of these cells with DPSCs | ||
| Overexpressed pro-inflammatory mediators like IL-32, down-regulated amphiregulin gene, and impeding anti-tumor responses in the IL-18 treated T-regs | [ | |
| Increased IL-18 levels, activation of MAIT cells in the lungs and blood, increased IFN-γ production, decreased IFN-α2 levels, down-regulated type I IFN-responsive transcription factors, and up-regulated NLRP3 inflammasome, in the serum, plasma, and SARS-CoV-2 infected MOs/MQs and MAIT cells | [ | |
| Up-regulated levels of IL-18 and IL-6 by classical MQs, inhibited growth and enhanced apoptosis of lung cells in the infection of HPSCs derived lung cells and MQs with SARS-CoV-2 pseudovirus | [ | |
| Up-regulated expression of NLRP3 inflammasome, caspase-1, IL-1β, IL-18, GSDM, and ASC in the direct infection of LORGs, HSCs, HAECs, EPCs, and VSELs by SRAS-CoV-2 | [ | |
| Increased IL-18 and IL-1β levels, down-regulated CD69 activating-marker for T cells (both CD4+ T and CD8+ T cells) and MCP-1, and limited cellular damages in the SARS-CoV-2 infected PBMCs with recombinant form of BPIFB4 | [ | |
| IL-33 | Higher increase of IL-33 accompanied by IL-6, IFN-α2, and IL-23 secretion in the culture of the SARS-CoV-2 peptide stimulated PBMCs from seropositive patients than those of the seronegative patients | [ |
| Positive correlation of enhanced production of the IL-33 with the expression of CD69 in CD4+ T cells | [ | |
| Higher level of intracellular IL-33 in CD14+ MOs in the PBMCs | [ | |
| Higher ST2 expression in the B cells, followed by MOs and DCs in the immune cells | ||
| Association of increased serum concentrations of IL-33 with increased bone marrow precursor cells in PBMCs | [ | |
| Positive association between IL-33 production from SARS-CoV-2 peptide stimulated PBMCs of the seropositive patients and their IgG titers | [ | |
| Increased IL-33 mRNA expression in the direct infection of human epithelial cell lines, Fadu and LS513, by SRAS-CoV-2 | [ | |
| Impaired production of IL-33 and IL-1β, IL-6, and IL-8 together with up-regulated SIGIRR, down-regulated AEC2, and up-regulated IFN-β expression, and activation of various antiviral immune pathways following treatment of poly(I:C) stimulated HBECs with Imiquimod | [ | |
| IL-36 | Increased expressions IL‐36 following NLRP3 inflammasome and caspase-1 activation in direct infection of the PBMCs with SARS-CoV-2 | [ |
| IL-37 | Attenuated respiratory inflammation by IL-37 administration in the human transgenic ACE2 mice | [ |
| IL-38 | N/A | N/A |
Ab, antibody; ACE2, angiotensin-converting enzyme 2; ADAMTS2, a disintegrin and metalloproteinase with thrombospondin motifs 2; AEC2, alveolar epithelial cells type 2; BPIFB4, bactericidal/permeability-increasing fold-containing family-B-member-4; DPSC, dental pulp stem cell; EPC, endothelial progenitor cell; GSDMD, gasdermin D; HAEC, human aortic endothelial cell; HBEC, human bronchial epithelial cells; HIF-1, hypoxia inducible factor 1; HPSC, human pluripotent stem cell; HSC, hematopoietic stem cell; IFN, interferon, IL, interleukin; IL-18BP, IL-18 binding protein; LORG, lung organoids; MAIT, mucosal-associated invariant T; MCP-1, monocyte chemoattractant protein 1, N/A, non-applicable; NLRP3, nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3; PBMC, peripheral blood mononuclear cell, SIGIRR, single immunoglobulin IL-1-related receptor; mRNA, messenger RNA; VSEL, very small embryonic-like stem cell
Fig. 3Schematic model of strategies for IL-1 family members’ intervention during SARS-CoV-2 infection. Following virus entry, detection of the viral PAMPs by TLRs leads to activated NLRP3 inflammasome in the type II pneumocyte cells of the respiratory tract and induction of IL-1β, IL-18, and IL-33 expression via NF-κB transcription factor signaling pathway. On the other side, the aggregated immune response against SARS-COV-2 by macrophages and neutrophils results in the production of IL-1 family cytokines
Overview of IL-1, IL-18, IL-33, IL-36, IL-37, and IL-38 changes in different samples of the COVID-19 patients and their associated clinical or para-clinical features
| Sample/clinical or para-clinical feature | IL-1 | IL-18 | IL-33 | IL-36 | IL-37 | IL-38 | Reference |
|---|---|---|---|---|---|---|---|
| Serum/plasma | ↑ | ↑ | ↑ | ↑ | ↑/↓ | ↑ | [ |
| BALF | ↑ | N/A | ↑ | N/A | N/A | N/A | [ |
| Feces | NS | ↑ | N/A | N/A | N/A | N/A | [ |
| Genome | N/A | * | * | N/A | * | N/A | [ |
| Postmortem lung tissue | N/A | N/A | ↓ | N/A | N/A | N/A | [ |
| Postmortem cardiac tissue | N/A | ↑ | N/A | N/A | N/A | N/A | [ |
| Clinical phenotypes of the COVID-19 in children | ↑ | ↑ | ↑ | N/A | N/A | N/A | [ |
| Disease severity | + | + | + | + | - | - | [ |
| Organ damage markers | + | + | + | N/A | N/A | N/A | [ |
| Seroconversion | N/A | N/A | + | N/A | N/A | N/A | [ |
↑: Increase; ↓: Decrease; + : Positive correlation; − : Negative correlation; *: Association; N/A: not applicable; NS: not-significant