| Literature DB >> 35039793 |
Abstract
Increasing outbreaks of new pathogenic viruses have promoted the exploration of novel alternatives to time-consuming vaccines. Thus, it is necessary to develop a universal approach to halt the spread of new and unknown viruses as they are discovered. One such promising approach is to target lipid membranes, which are common to all viruses and bacteria. The ongoing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has reaffirmed the importance of interactions between the virus envelope and the host cell plasma membrane as a critical mechanism of infection. Metadichol®, a nanolipid emulsion of long-chain alcohols, has been demonstrated as a strong candidate that inhibits the proliferation of SARS-CoV-2. Naturally derived substances, such as long-chain saturated lipid alcohols, reduce viral infectivity, including that of coronaviruses (such as SARS-CoV-2) by modifying their lipid-dependent attachment mechanism to human host cells. The receptor ACE2 mediates the entry of SARS-CoV-2 into the host cells, whereas the serine protease TMPRSS2 primes the viral S protein. In this study, Metadichol® was found to be 270 times more potent an inhibitor of TMPRSS2 (EC50 = 96 ng/mL) than camostat mesylate (EC50 = 26000 ng/mL). Additionally, it inhibits ACE with an EC50 of 71 ng/mL, but it is a very weak inhibitor of ACE2 at an EC50 of 31 μg/mL. Furthermore, the live viral assay performed in Caco-2 cells revealed that Metadichol® inhibits SARS-CoV-2 replication at an EC90 of 0.16 μg/mL. Moreover, Metadichol® had an EC90 of 0.00037 μM, making it 2081 and 3371 times more potent than remdesivir (EC50 = 0.77 μM) and chloroquine (EC50 = 1.14 μM), respectively.Entities:
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Year: 2022 PMID: 35039793 PMCID: PMC8760534 DOI: 10.1155/2022/1558860
Source DB: PubMed Journal: Biomed Res Int Impact factor: 3.411
In vitro antiviral assay.
| CC50 | EC90 | SI90 | |
|---|---|---|---|
| Metadichol ( | 4 | 0.15 | 20 |
| M128533 ( | >10 | 0.2 | >33 |
CC50: 50% cytotoxic concentration of compound without virus added; EC50: 50% effective antiviral concentration; EC90: calculated concentration to reduce viral yield by 1 log (90%); SI: CC50/EC50.
Cytotoxicity and viral yield data for each concentration of Metadichol tested.
| Metadichol concentration ( | Cytotoxicity (%) | Viral titer (CCID50 per 0.1 mL) |
|---|---|---|
| 100 | 100% | <0.7 |
| 32 | 100% | <0.7 |
| 10 | 83% | <0.7 |
| 3.2 | 54% | 0.7 |
| 1 | 17% | 4.3 |
| 0.3 | 26% | 1.5 |
| 0.1 | 26% | 5.7 |
| 0.03 | 26% | 5.3 |
CCID: cell culture infectious dose (50%/mL).
Raw data of Metadichol cytotoxicity in viral absence, as measured by using the neutral red assay. Units are μg/mL unless noted.
| Metadichol ( | Adenovirus | Tacaribe | Rift valley | SARS | Japanese encephalitis | West Nile virus | Yellow fever Powassan virus | |
|---|---|---|---|---|---|---|---|---|
| 500 | 95% | 98% | 96% | 96% | 100% | 100% | 100% | 100% |
| 160 | 92% | 98% | 96% | 95% | 100% | 100% | 100% | 100% |
| 50 | 90% | 97% | 97% | 95% | 100% | 100% | 100% | 100% |
| 16 | 85% | 95% | 81% | 92% | 88% | 77% | 98% | 100% |
| 5 | 0% | 23% | 26% | 35% | 33% | 28% | 35% | 44% |
| 1.6 | 0% | 2% | 10% | 15% | 12% | 14% | 19% | 6% |
| 0.5 | 0% | 3% | 9% | 0% | 2% | 3% | 2% | 0% |
| 0.16 | 0% | 17% | 3% | 0% | 0% | 0% | 4% | 0% |
| CC50 | 9.90 | 7.30 | 8.40 | 6.70 | 7.20 | 8.50 | 5.00 | 5.1 |
CC50: 50% cytotoxic concentration of compound without virus added.
Antiviral assay of Metadichol against various viruses, as measured using the neutral red assay.
| Metadichol ( | Adenovirus | Tacaribe | Rift valley fever | SARS | Japanese encephalitis | West Nile | Yellow fever | Powassan |
|---|---|---|---|---|---|---|---|---|
| 5 | 100% | 31% | 100% | 0% | 56% | 84% | 70% | 53% |
| 1.6 | 100% | 69% | 100% | 52% | 87% | 100% | 73% | 100% |
| 0.5 | 100% | 97% | 100% | 100% | 100% | 100% | 95% | 100% |
| 0.16 | 100% | 100% | 100% | 100% | 100% | 100% | 96% | 100% |
| EC50 | >9.9 | 2.8 | >8.4 | 1.7 | >7.2 | >8.5 | >5 | >5.1 |
EC50: 50% effective antiviral concentration.
List of viruses inhibited by Metadichol in vitro.
| Adenovirus | Rift valley |
| Japanese encephalitis | Marburg |
| Tacaribe | SARS (severe acute respiratory syndrome) |
| Powassan | Respiratory syncytial virus |
| Zika | Chikungunya |
| Ebola | Influenza A (H1N1) |
| Yellow fever | Dengue |
| West Nile virus | HIV (human immunodeficiency virus) |
TMPRSS2 assay data.
| Sample | Concentration | RFU | % inhibition | IC50 |
|---|---|---|---|---|
| Control | 0 | 43233358 | 0.00 | |
|
| ||||
| Metadichol (ng/mL) | 1.56 | 41305150 | 4.46 | 96.65 ng/mL |
| 3.12 | 39329385 | 9.03 | ||
| 6.25 | 36713767 | 15.08 | ||
| 12.5 | 33778222 | 21.87 | ||
| 25 | 30695684 | 29.00 | ||
| 50 | 26087008 | 39.66 | ||
| 100 | 16009312 | 62.97 | ||
|
| ||||
| Camostat mesylate ( | 0.78 | 37984828 | 12.14 | 26.46 |
| 1.56 | 35235186 | 18.50 | ||
| 3.125 | 31685728 | 26.71 | ||
| 6.25 | 29234396 | 32.38 | ||
| 12.5 | 23276839 | 46.16 | ||
| 25 | 18931887 | 56.21 | ||
| 50 | 8797988 | 79.65 | ||
Figure 1Inhibition of TMPRSS2 by camostat mesylate (control).
Figure 2Inhibition of TMPRSS2 by Metadichol.
ACE2 assay data.
| Sample | Concentration ( | RFU | % inhibition | IC50 ( |
|---|---|---|---|---|
| Control | 0 | 308315546 | 0.00 | |
|
| ||||
| Metadichol | 0.125 | 290309918 | 5.84 | 30.15 |
| 0.25 | 260064163 | 15.65 | ||
| 0.5 | 249149792 | 19.19 | ||
| 1 | 240301136 | 22.06 | ||
| 10 | 212275253 | 31.15 | ||
| 20 | 187702504 | 39.12 | ||
| 40 | 139821100 | 54.65 | ||
|
| ||||
| DX600 | 0.0156 | 252855648 | 17.99 | 0.1027 |
| 0.031 | 231028864 | 25.07 | ||
| 0.0625 | 193810784 | 37.14 | ||
| 0.125 | 145881248 | 52.68 | ||
| 0.25 | 127485752 | 58.65 | ||
| 0.5 | 111498760 | 63.84 | ||
Figure 3Inhibition of ACE2 by DX600 (control).
Figure 4Inhibition of ACE2 by Metadichol.
ACE assay data.
| Concentration (ng/mL) | Percent inhibition | |
|---|---|---|
| Captopril (control) | 0.63 | 6.12 |
| 1.25 | 15.04 | |
| 2.50 | 32.42 | |
| 5.00 | 43.5 | |
| 10.00 | 57.2 | |
| 20 | 76.51 | |
|
| ||
| Metadichol | 3.9 | 4.61 |
| 7.8 | 6.37 | |
| 15.6 | 14.28 | |
| 31.25 | 22.59 | |
| 62.5 | 36.71 | |
| 125 | 54.89 | |
| 250 | 60.51 | |
| 500 | 66.23 | |
| 1000 | 78.1 | |
Figure 5Inhibition of ACE by captopril (control).
Figure 6Inhibition of ACE by Metadichol.
Disease network of the 13 curated genes.
| Disease name | Disease categories | Corrected | Annotated gene quantity | Annotated genes |
|---|---|---|---|---|
| COVID-19 | Respiratory tract disease, viral disease | 3.10 | 13 | ACE2, AGT, CCL2, CCL3, CSF3, CXCL10, IL10, IL2, IL2RA, IL6, IL7, TMPRSS2, TNF |
| Pneumonia, viral | Respiratory tract disease, viral disease | 4.34 | 13 | ACE2, AGT, CCL2, CCL3, CSF3, CXCL10, IL10, IL2, IL2RA, IL6, IL7, TMPRSS2, TNF |
| Coronaviridae infections | Viral disease | 1.74 | 13 | ACE2, AGT, CCL2, CCL3, CSF3, CXCL10, IL10, IL2, IL2RA, IL6, IL7, TMPRSS2, TNF |
| Coronavirus infections | Viral disease | 1.74 | 13 | ACE2, AGT, CCL2, CCL3, CSF3, CXCL10, IL10, IL2, IL2RA, IL6, IL7, TMPRSS2, TNF |
| Nidovirales infections | Viral disease | 1.74 | 13 | ACE2, AGT, CCL2, CCL3, CSF3, CXCL10, IL10, IL2, IL2RA, IL6, IL7, TMPRSS2, TNF |
| RNA virus infections | Viral disease | 4.92 | 13 | ACE2, AGT, CCL2, CCL3, CSF3, CXCL10, IL10, IL2, IL2RA, IL6, IL7, TMPRSS2, TNF |
| Virus diseases | Viral disease | 1.73 | 13 | ACE2, AGT, CCL2, CCL3, CSF3, CXCL10, IL10, IL2, IL2RA, IL6, IL7, TMPRSS2, TNF |
| Sexually transmitted diseases, viral | Viral disease | 1.38 | 7 | CCL2, CCL3, IL10, IL2, IL2RA, IL6, TNF |
| HIV infections | Immune system disease, viral disease | 1.56 | 7 | CCL2, CCL3, IL10, IL2, IL2RA, IL6, TNF |
| Lentivirus infections | Viral disease | 1.56 | 7 | CCL2, CCL3, IL10, IL2, IL2RA, IL6, TNF |
| Retroviridae infections | Viral disease | 1.56 | 7 | CCL2, CCL3, IL10, IL2, IL2RA, IL6, TNF |
| HIV wasting syndrome | Immune system disease, metabolic disease, nutrition disorder, viral disease | 4.00 | 2 | IL6, TNF |
| Coxsackievirus infections | Viral disease | 0.001 | 2 | IL6, TNF |
| Enterovirus infections | Viral disease | 0.0044 | 2 | IL6, TNF |
| Picornaviridae infections | Viral disease | 0.00519 | 2 | IL6, TNF |
Disease network of genes implicated in the SARS-CoV-2 infection.
| Disease name |
| Corrected | Genes | Annotated genes |
|---|---|---|---|---|
| COVID-19 | 1 | 5.44 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| Pneumonia, viral | 1.56 | 8.46 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| Coronaviridae infections | 3.4 | 1.85 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| Coronavirus infections | 3.4 | 1.85 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| Nidovirales infections | 3.4 | 1.85 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| Pneumonia | 9.42 | 5.11 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| Respiratory tract infections | 3.13 | 1.7 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| RNA virus infections | 2.46 | 1.34 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
| Virus diseases | 9.48 | 5.15 | 5 | ACE2, AGT, CCL2, TMPRSS2, TNF |
Figure 7Potential key gene targets in the SARS-CoV-2 infection.
Figure 8Network analysis of the genes involved in the SARS-CoV-2 infections.
Figure 9Network of relationship between the vitamin D receptor and RAAs.
Figure 10Gene-cytokine relationships.
Figure 11Mechanism of action of Metadichol against the SARS-CoV-2 virus.