| Literature DB >> 34801852 |
Masoumeh Farahani1, Zahra Niknam1, Leila Mohammadi Amirabad2, Nasrin Amiri-Dashatan3, Mehdi Koushki4, Mohadeseh Nemati5, Fahima Danesh Pouya5, Mostafa Rezaei-Tavirani6, Yousef Rasmi7, Lobat Tayebi2.
Abstract
Deciphering the molecular downstream consequences of severe acute respiratory syndrome coronavirus (SARS-CoV)- 2 infection is important for a greater understanding of the disease and treatment planning. Furthermore, greater understanding of the underlying mechanisms of diagnostic and therapeutic strategies can help in the development of vaccines and drugs against COVID-19. At present, the molecular mechanisms of SARS-CoV-2 in the host cells are not sufficiently comprehended. Some of the mechanisms are proposed considering the existing similarities between SARS-CoV-2 and the other members of the β-CoVs, and others are explained based on studies advanced in the structure and function of SARS-CoV-2. In this review, we endeavored to map the possible mechanisms of the host response following SARS-CoV-2 infection and surveyed current research conducted by in vitro, in vivo and human observations, as well as existing suggestions. We addressed the specific signaling events that can cause cytokine storm and demonstrated three forms of cell death signaling following virus infection, including apoptosis, pyroptosis, and necroptosis. Given the elicited signaling pathways, we introduced possible pathway-based therapeutic targets; ADAM17 was especially highlighted as one of the most important elements of several signaling pathways involved in the immunopathogenesis of COVID-19. We also provided the possible drug candidates against these targets. Moreover, the cytokine-cytokine receptor interaction pathway was found as one of the important cross-talk pathways through a pathway-pathway interaction analysis for SARS-CoV-2 infection.Entities:
Keywords: COVID-19; Drug targets; Molecular pathway; SARS-CoV-2
Mesh:
Year: 2021 PMID: 34801852 PMCID: PMC8585639 DOI: 10.1016/j.biopha.2021.112420
Source DB: PubMed Journal: Biomed Pharmacother ISSN: 0753-3322 Impact factor: 7.419
Contents of this study.
| 1. Introduction |
Fig. 1Schematic representation of possible molecular mechanism involved in Covid-19. ACE2 deficiency is occurred in SARS-CoV-2 infection, due to binding of S protein to this receptor as well as shedding of it by ADAM17. ACE2 converts Ang II, a peptide hormone involved in pro-inflammatory activities to Ang 1–7. Binding of Ang 1–7 to Mas receptor indicates various beneficial effects in the human body including vasodilation, anti-thrombotic, anti-fibrotic, and anti-inflammatory. Depletion of ACE2 leads to over-production of Ang II and its binding to AT1R causes activation of ADAM17 protease. ADAM17 can cleave membrane-anchored proteins and immunological cytokines such as IL-6, TNF-α and EGFR ligands, which modulation of them triggers pro-inflammatory pathways. Also, ADAM17 cleavages Notch-ligand complex then the Notch intracellular domain is cleaved by the γ-secretase complex, resulting its release and transfer to the nucleus and the transcriptional activation of Notch target genes such as inflammatory cytokines and furin. Des-arg9 bradykinin (DABK) is a biological substrate of ACE2 in the lungs and deficiency of ACE2 led to stimulation of bradykinin receptor (B1R) by DABK and releasing of the pro-inflammatory chemokines. Besides, activation of B1R can cause AT1R upregulation and ADAM17 stimulation lead to transactivation of EGFR. On the other hand, Ang II stimulation can significantly increase the expression of B1R suggesting possible cross-talk between AT1R and B1R in SARS-CoV-2 infection. Created with BioRender.
Fig. 2Schematic representation of “cytokine storm: the cytokine storm mediates the harmful effects leading to multi-organ damage.
Fig. 3IL-6 Signaling (Classical and Trans): IL-6 signaling leads to both anti-inflammatory and inflammatory cascades by classical and trans-signaling pathways. Classical IL-6 signaling is anti-inflammatory through IL-6 binding to the transmembrane cell surface receptor. IL-6 trans-signaling is thought to be pro-inflammatory pathway. In this state, IL-6/IL-6R complex bind to the gp130 on cell surface. The both of classical and trans-signaling through IL-6/IL-6R/gp130 complex activates cellular pathways by JAK/STAT, PI3K/AKT, and MAPK pathways.
Molecular pathways involved in SARS‑CoV‑2 infection and pathway-based therapeutic targets.
| Signaling pathways | Molecular targets | Therapeutic agents | Diseases | Reference |
|---|---|---|---|---|
| Renin-angiotensin system (RAS) pathway | ACE2 | NAAE (ACE2 inhibitor), rhACE2 (GSK2586881) | SARS-CoV, ARDS | |
| TMPRSS2 | Exogenous estrogen, Camostat mesylate, Aprotinin, MI-432, MI-1900, Nafamostat | SARS-CoV-2 infection | ||
| ACE | Lisinopril, Enalapril, Vitamin D3 | Heart/Kidney, Heart, Kidney, SARS-CoV-2 | ||
| AT1R | Losartan/Olmesartan, Losartan, Irbesartan, Telmisartan, Olmesartan | Heart/Kidney, Aorta, Heart, Kidney, SARS-CoV-2 infection | ||
| ADAM17 | A1AT, TIMP-3, TAPI-1, siRNA, Apratastat, TMI-1 | Chronic obstructive pulmonary disease, SARS-CoV-2 infection | ||
| IL-6-JAK/STAT | IL-6 | Sirukumab, FC-sgp130, Olokizumab, MAb 1339, CNTO328, Clazakizumab, Oroxylin A, ALX-0061, Siltuximab | Cardiovascular disease, RA, Multiple myeloma, prostate cancer, Renal cell carcinoma, B-cell Non-Hodgkin lymphoma, Ovarian cancer, Non-small cell lung cancer, SARS-CoV-2 infection | |
| IL-6R | Tocilizumab, Sarilumab, ERBF, SANT-7, sgp130FC, NRI | Leukaemia, Metastatic breast cancer, Pancreatic cancer, RA, Multiple myeloma, tumor cell line | ||
| JAK | TG101209, WP1066, CEP 3379, Sorafenib, Tofacitinib, Ruxolitinib, AG490 | Lung cancer, Gastric cancer, Colorectal cancer, Glioblastoma, Cardiovascular disease, Pancreatic cancer | ||
| gp130 | B-P4, Madindoline A, SC144, Raloxifene, Bazedoxifene, LMT-28 | Inflammatory hepatocellular adenoma, Non-small cell lung cancer xenograft, Ovarian cancer, Breast cancer, Erythroleukemia | ||
| JAK/STAT signaling | Trichostatin A, Bufalin, Baricitinib, Ruxolitinib, Tofacitinib | Experimental CRC, SARS-CoV-2 infection | ||
| STAT3 | JSI-124, Stattic, Eriocalyxin B, S3I-201, STA-21, OBP-31121, OBP-51602, AZD9150, C188–9 | B-leukemia, Breast and liver cancer, prostate cancer, Cardiovascular disease, Hepatocellular carcinoma, Multiple myeloma, NHL, AML, ALL, CML, Nasopharyngeal carcinoma, Advanced solid tumors, Metastatic HNSCC, Advanced stage lymphomas, Advanced stage pancreatic cancer, NSCLC, CRC | ||
| SOCS3 | SOCS3 | Cardiovascular disease | ||
| IL-1B signaling | IL-1 | Anakinra | SARS-CoV-2 infection | |
| TNF signaling | TNF-γ | Baricitinib | SARS-CoV-2 infection | |
| TNF-α | Adalimumab, Etanercept, Infliximab | SARS-CoV-2 infection | ||
| TNF | Infliximab, Golimumab, Adalimumab | SARS-CoV-2 infection | ||
| IL-6 signaling | IL-6 | Tocilizumab, Sarilumab, Baricitinib | SARS-CoV-2 infection | |
| IFN-γ signaling | IFN-γ | Emapalumab | SARS-CoV-2 infection | |
| IL-17 | IL-17 | Fedratinib, Secukinumab, Netakimab | Myelofibrosis, SARS-CoV-2 infection | |
| GM-CSF | GM-CSF | Mavrilimumab, Lenzilumab, Tocilizumab | SARS-CoV-2 infection | |
| NF-κB signaling pathway | Inhibit translocation of the RELA | CAPE | SARS-CoV | |
| Inhibit IKK complex | Bay 11–7082, Parthenolide, Gabexate mesilate, resveratrol | SARS-CoV, lipopolysaccharide (LPS)-induced tissue injury, allergic asthma | ||
| NF-κB cascade | Dexamethasone, Hydroxychloroquine, Macrolide antibiotics, N-acetylcysteine | SARS-CoV-2 infection | ||
| TLR signaling pathway | Inhibitor TLR3, TLR4, TLR7 and TLR8 | Ulinastatin, M5049, Chloroquine, Hydroxychloroquine, Polyinosinic: polycytidylic acid, INNA-051 | SARS-CoV-2 infection | |
| mTOR signaling pathway | mTORC1 | Sirolimus, Rapamycin, Azithromycin, Niclosamide | SARS-CoV-2, H1N1, H3N2 | |
| mTOR | Metformin, Buformin, Phenformin | Influenza | ||
| P38 MAPK signaling pathway | P38 | Chloroquine, SB203580, Dilmapimod, Losmapimod | HCoV-229E, Acute lung injury, Hypercholesterolemic patients | |
| Kallikrein pathway | B1R | Safotibant | reversion acute inflammatory pain induced by carrageenan, and persistent inflammatory pain induced by CFA | |
| B2R | Icatibant | Hereditary angioedema, SARS-CoV-2 infection | ||
| Kallikrein | Lanadelumab, | Hereditary angioedema, SARS-CoV-2 infection | ||
| HIF-1 signaling pathway | HIF prolyl hydroxylase | HIF prolyl hydroxylase inhibitors: | SARS-CoV-2 infection | |
| Cell death signaling pathway | NLRP3 inflammasome | MCC950, oridonin | Inflammatory diseases | |
| Inflammasome activation signaling | Anakinra, Tocilizumab and IFN-β | SARS-CoV-2 infection | ||
| RIPK3 and MLKL | Zharp-99, necrosulfonamide, GSK843, GSK872 | Inflammatory injury, cancer metastasis |
Fig. 4Toll-like receptor signaling pathway in response to SARS-CoV-2. Created with BioRender.
Fig. 5The canonical and non-canonical NF-κB signaling pathways in the inflammatory response of COVID-19. Created with BioRender.
Fig. 6Proposed cell death signaling mechanisms following SARS-CoV-2 infection, including apoptosis, pyroptosis, and necroptosis. The 3a protein can trigger apoptosis through the extrinsic pathway and death receptors. Pyroptosis can occur following response to S protein or to excessive Ang II activation by the AT1R in the hematopoietic stem/progenitor cells (HSPCs). The 3a protein may also trigger the pyroptosis signaling, similar to the SARS-CoV 3a protein. The RIPK3-mediated necroptosis can be another cell death signaling that the activation of RIPK3 by 3a can induce necroptosis, in an MLKL-independent manner. Created with BioRender.
Fig. 7Pathway interaction network representing the cross-talk among COVID-19 related pathways, 22 pathways with non-cross-talk genes and cross-talk genes (561 genes). The cross-talk genes are presented in orange colors. The cytokine-cytokine receptor interaction pathway (blue label) was found as a high significant pathway with the 197 cross-talk genes (of 561). (For interpretation of the references to colour in this figure, the reader is referred to the web version of this article.)
The top 10 KEGG pathways for the 561 genes that mediate the pathway cross-talks.
| Category | Term | Count | % | q-value |
|---|---|---|---|---|
| KEGG_PATHWAY | Cytokine-cytokine receptor interaction | 197 | 35.1 | 8.40E-181 |
| KEGG_PATHWAY | Jak-STAT signaling pathway | 127 | 22.6 | 8.50E-121 |
| KEGG_PATHWAY | Chemokine signaling pathway | 130 | 23.2 | 1.60E-100 |
| KEGG_PATHWAY | Toll-like receptor signaling pathway | 92 | 16.4 | 5.00E-85 |
| KEGG_PATHWAY | TNF signaling pathway | 91 | 16.2 | 1.80E-82 |
| KEGG_PATHWAY | Influenza A | 111 | 19.8 | 2.20E-78 |
| KEGG_PATHWAY | NF-kappa B signaling pathway | 80 | 14.3 | 4.30E-78 |
| KEGG_PATHWAY | Hepatitis B | 97 | 17.3 | 6.60E-71 |
| KEGG_PATHWAY | T cell receptor signaling pathway | 81 | 14.4 | 8.90E-70 |
| KEGG_PATHWAY | MAPK signaling pathway | 124 | 22.1 | 1.10E-69 |
Table presents that the Cytokine-cytokine receptor interaction pathway significantly shares the most components between the pathways and can be one of the important pathways with critical roles in the SARS-CoV-2 infection.