| Literature DB >> 35632701 |
Minli Liu1,2, Lefang Jiang3, Weihua Cao3, Jianguo Wu3, Xulin Chen1,2,3.
Abstract
Adenoviruses can cause infections in people of all ages at all seasons of the year. Adenovirus infections cause mild to severe illnesses. Children, immunocompromised patients, or those with existing respiratory or cardiac disease are at higher risk. Unfortunately, there are no commercial drugs or vaccines available on the market for adenovirus infections. Therefore, there is an urgent need to discover new antiviral drugs or drug targets for adenovirus infections. To identify potential antiviral agents for adenovirus infections, we screened a drug library containing 2138 compounds, most of which are drugs with known targets and past phase I clinical trials. On a cell-based assay, we identified 131 hits that inhibit adenoviruses type 3 and 5. A secondary screen confirmed the antiviral effects of 59 inhibitors that inhibit the replication of adenoviruses type 3 or 5. Most of the inhibitors target heat shock protein, protein tyrosine kinase, the mTOR signaling pathway, and other host factors, suggesting that these host factors may be essential for replicating adenoviruses. Through this study, the newly identified adenovirus inhibitors may provide a start point for developing new antiviral drugs to treat adenovirus infections. Further validation of the identified drug targets can help the development of new therapeutics against adenovirus infections.Entities:
Keywords: adenovirus; antiviral; drug screening; heat shock protein 90; mTOR signaling pathway; protein tyrosine kinases
Mesh:
Substances:
Year: 2022 PMID: 35632701 PMCID: PMC9144521 DOI: 10.3390/v14050959
Source DB: PubMed Journal: Viruses ISSN: 1999-4915 Impact factor: 5.818
Figure 1The cytopathic effect-based high-throughput screening identifies new antiviral agents against AdV replication. Vero cells were incubated with five μM of each library compound for 10 min and followed by the infection with the AdV3 at MOI 0.56 or AdV5 at MOI 1.1. After incubation at 37 °C for 48 hrs, cell viability and inhibition rates were determined. Graphs show the percentage of inhibition rates against AdV3 (A) or AdV5 (B) of all drugs in each category of drug target. The inhibition rate for each category is presented as mean ± SEM. The total compound number in each category is indicated in parentheses.
Anti-ADV activities of hit compounds targeting cytoskeletal signaling.
| Target | Name | CC50 (µM) | EC50 (µM) | Selective Index | ||
|---|---|---|---|---|---|---|
| AdV3 | AdV5 | AdV3 | AdV5 | |||
| PAK 1 | PF-3758309 | >5.00 | 0.54 | 2.26 | >9.29 | >2.22 |
| HSP90 2 | AUY922 | >5.00 | 0.18 | 0.23 | >28.56 | >22.11 |
| 17-AAG | >5.00 | 0.50 | 10.86 | >9.93 | >0.46 | |
| 17-DMAG | >5.00 | 0.22 | 0.43 | >23.20 | >11.58 | |
| STA-9090 | 4.44 | 0.05 | 0.05 | 97.56 | 76.73 | |
| AT13387 | >5.00 | 0.08 | 0.18 | >61.84 | >27.13 | |
| BIIB021 | >5.00 | 0.10 | 0.24 | >48.73 | >21.2 | |
| SNX-2112 | >5.00 | 0.17 | 0.33 | >28.87 | >15.09 | |
| PF-04929113 | >5.00 | 0.19 | 0.40 | >26.61 | >12.46 | |
| Geldanamycin | >5.00 | 1.48 | >5.00 | >3.38 | ND 3 | |
| HSP990 | 4.31 | 0.02 | 0.03 | 205.19 | 148.47 | |
| XL888 | >5.00 | 0.17 | 0.48 | >29.69 | >10.33 | |
| NMS-E973 | >5.00 | 0.92 | 4.94 | >5.44 | >1.01 | |
| CH5138303 | >5.00 | 0.09 | 0.65 | >53.77 | >7.72 | |
| VER-49009 | >5.00 | 0.03 | 0.08 | >186.00 | >60.00 | |
| PU-H71 | >5.00 | 0.74 | 2.20 | >6.79 | >2.27 | |
1 PAK: p21-activated kinase; 2 HSP90: Heat shock protein 90. 3 ND:Not determined.
Anti-ADV activities of hit compounds targeting PI3K/Akt/mTOR.
| Target | Name | CC50 (µM) | EC50 (µM) | Selective Index | ||
|---|---|---|---|---|---|---|
| AdV3 | AdV5 | AdV3 | AdV5 | |||
| PKA 1 | H 89 2HCl | >5.00 | 0.31 | >5.00 | >15.97 | ND 5 |
| PI3K 2 | VS-5584 | 0.40 | 0.10 | 0.10 | 3.94 | 4.18 |
| GNE-317 | >5.00 | 0.26 | 0.59 | 19.28 | 8.50 | |
| Akt 3 | LY3023414 | >5.00 | 0.90 | 1.31 | >5.58 | >3.83 |
| mTOR 4 | AZD8055 | >5.00 | 0.11 | 0.16 | >44.72 | >31.87 |
| PP242 | >5.00 | 1.03 | 1.97 | >4.85 | >2.54 | |
| OSI-027 | >5.00 | 1.38 | 2.40 | >3.62 | >2.08 | |
| WYE-125132 | >5.00 | 0.06 | 0.15 | >89.17 | >32.47 | |
| WAY-600 | 3.11 | 0.56 | 1.09 | 5.51 | 2.86 | |
| GDC-0980 | 3.00 | 0.08 | 0.27 | 36.44 | 10.96 | |
| PF-04691502 | >5.00 | 0.06 | 0.12 | >86.01 | >41.46 | |
| AZD2014 | 4.05 | 0.02 | 0.07 | 171.31 | 56.82 | |
| INK 128 | 0.85 | 0.01 | 0.01 | 161.78 | 61.27 | |
| Torin 2 | 0.78 | 0.31 | 0.09 | 2.48 | 8.30 | |
| Voxtalisib | 2.26 | 0.47 | 2.72 | 4.83 | 0.83 | |
| CC-223 | >5.00 | 1.11 | 1.38 | >4.50 | >3.62 | |
| GDC-0349 | >5.00 | 1.38 | 2.62 | >3.63 | >1.91 | |
1 PKA: (cAMP-dependent) protein kinase A; 2 PI3K: Phosphoinositide 3-kinase. 3 Akt: Protein kinase B; 4 mTOR: Mammalian target of rapamycin. 5 ND: Not determined.
Anti-ADV activities of hit compounds targeting protein tyrosine kinase.
| Target | Name | CC50 (µM) | EC50 (µM) | Selective Index | ||
|---|---|---|---|---|---|---|
| AdV3 | AdV5 | AdV3 | AdV5 | |||
| EGFR 1 | AZD8931 | >5.00 | 0.05 | >5.00 | >96.15 | ND 6 |
| DesMethyl Erlotinib | >5.00 | 0.51 | >5.00 | >9.72 | ND | |
| Dacomitinib | 4.88 | 0.77 | 1.64 | 6.31 | 2.97 | |
| FGFR 2 | AZD4547 | 51.45 | 5.86 | ND | 8.78 | ND |
| PDGFR 3 | Amuvatinib | 8.34 | 3.97 | 1.80 | 2.10 | 4.64 |
| VEGFR 4 | Sorafenib Tosylate | 5.93 | 1.27 | 3.87 | 4.67 | 1.53 |
| Apatinib | >5.00 | 0.32 | 3.60 | >15.41 | >1.39 | |
| Regorafenib | 4.06 | 0.44 | 1.50 | 9.30 | 2.72 | |
| SRC 5 | KW-2449 | >5.00 | 3.66 | 1.28 | >1.37 | >3.91 |
| SYK 6 | R406 | >5.00 | 0.94 | >5.00 | >5.32 | ND |
| R788 | 1.56 | 0.23 | 1.06 | 6.65 | 1.48 | |
1 EGFR: Epidermal growth factor receptor; 2 FGFR: Fibroblast growth factor receptor. 3 PDGFR: Platelet-derived growth factor receptor; 4 SRC: Short for sarcoma, a non-receptor tyrosine kinase. 5 SYK: Spleen tyrosine kinase, a non-receptor tyrosine kinase. 6 ND: Not determined.
Anti-ADV activities of hit compounds targeting other host pathways.
| Pathway | Target | Name | CC50 (µM) | EC50 (µM) | Selective Index | ||
|---|---|---|---|---|---|---|---|
| AdV3 | AdV5 | AdV3 | AdV5 | ||||
| Cell Cycle | Aurora Kinase 1 | ENMD-2076 L-(+)-Tartaric acid | 4.34 | 1.35 | 1.39 | 3.22 | 3.14 |
| AMG-900 | 3.69 | 0.02 | >5.00 | 226.12 | ND 9 | ||
| CDK 2 | BMS-265246 | >5.00 | 0.64 | 0.6 | >7.84 | >8.35 | |
| ON123300 | >5.00 | 2.91 | 1.62 | >1.72 | >3.08 | ||
| Transmembrane | CRM1 3 | KPT-276 | >5.00 | 0.1 | 0.97 | >50.46 | >5.13 |
| KPT-330 | 1.58 | 0.1 | 0.52 | 15.45 | 3.04 | ||
| KPT-335 | 1.9 | 0.15 | 0.61 | 12.65 | 3.14 | ||
| MAPK | p38 MAPK 4 | Doramapimod | >5.00 | 0.35 | >5 | >14.24 | ND |
| PH-797804 | >5.00 | 0.02 | 1.58 | >250.00 | >3.16 | ||
| Skepinone-L | 2.14 | 0.18 | 2.56 | 11.84 | 0.83 | ||
| Raf 5 | RAF265 | >5.00 | 1.28 | >5.00 | >3.91 | ND | |
| TAK-632 | 1.99 | 0.18 | 0.16 | 11.15 | 12.3 | ||
| TGF-beta/Smad | PKC 6 | Go6976 | 3.95 | 0.62 | 1.23 | 6.39 | 3.22 |
| Metabolism | IMPDH 7 | Mycophenolate Mofetil | >5.00 | 1.84 | 0.19 | >2.72 | >25.83 |
| DHODH 8 | Vidofludimus | >5.00 | 1.63 | 0.94 | >3.07 | >5.35 | |
1 Aurora Kinase: A serine/threonine kinase; 2 CDK: Cyclin-dependent kinase. 3 CRM1: Chromosomal Maintenance 1, also known as Exportin 1. 4 p38 MAPK: p38 mitogen-activated protein kinase; 5 Raf: rapid accelerated fibrosarcoma, a family of three serine/threonine-specific kinases (A-Raf, B-Raf, and Raf-1). 6 PKC: Potent protein kinase C. 7 IMPDH: Inosine monophosphate dehydrogenase. 8 DHODH: Dihydroorotate dehydrogenase; 9 ND: Not determined.
Figure 2The secondary screening of the hits from the primary screen verifies the hits with dose-dependent antiviral activities. Vero cells were incubated with the serially diluted hit compounds from the primary screening for 10 min, followed by infection with AdV3 or AdV5 for 48 h. The viral replication levels were determined by IFA to detect hexon. The inhibition rates were calculated according to the methods in the anti-AdV activity assay. The cytotoxicity was measured by a cell viability assay using the CellTiter-Glo® reagents over the serially diluted hit compounds. (A) The hit compound against AdV3 or AdV5 respectively categorizes the number of hits targeting each host factor or pathway in the secondary screening. (B) The number of hits inhibits both AdV3 and AdV5, targeting each host factor or pathway in the secondary screening. The ratio of hit number over the total compound number in each category is indicated in parentheses.
Figure 3Analysis of the targets of hit compounds from the secondary screen. The target distribution analysis shows that drug targets of all hit compounds in the secondary screen can be categorized into four groups. (A) Cytoskeletal signaling. (B) PI3K/Akt/mTOR. (C) Protein Tyrosine Kinase, and (D) other pathways. The total compound number in each category is indicated in parentheses. The number of hits in each category is shown on the Y-axis.