| Literature DB >> 34693368 |
Ling Wei1, Jack Adderley2, Didier Leroy3, David H Drewry4, Danny W Wilson5,6, Alexis Kaushansky1,7,8, Christian Doerig2.
Abstract
Host-directed therapy (HDT) is gaining traction as a strategy to combat infectious diseases caused by viruses and intracellular bacteria, but its implementation in the context of parasitic diseases has received less attention. Here, we provide a brief overview of this field and advocate HDT as a promising strategy for antimalarial intervention based on untapped targets. HDT provides a basis from which repurposed drugs could be rapidly deployed and is likely to strongly limit the emergence of resistance. This strategy can be applied to any intracellular pathogen and is particularly well placed in situations in which rapid identification of treatments is needed, such as emerging infections and pandemics, as starkly illustrated by the current COVID-19 crisis.Entities:
Keywords: Host-directed therapy; antimalarial drug discovery; malaria
Mesh:
Substances:
Year: 2021 PMID: 34693368 PMCID: PMC8524702 DOI: 10.1016/j.xcrm.2021.100423
Source DB: PubMed Journal: Cell Rep Med ISSN: 2666-3791
Figure 1The life cycle of malaria parasites offers opportunities for HDT
Plasmodium-infected Anopheles mosquitoes inject sporozoites into human hosts during blood meals. Sporozoites migrate to the liver and mature into schizonts within hepatocytes, which then rupture and release merozoites into the bloodstream. For P. vivax and P. ovale, parasites can also undergo a dormant stage by forming hypnozoites in hepatocytes, which can reactivate to cause relapsing disease up to several years after the initial infection. The merozoites produced during hepatocytic schizogony access the bloodstream and undergo cyclical asexual multiplication in erythrocytes. Merozoites infect red blood cells and mature from trophozoites into schizonts, which rupture and release merozoites. In the case of P. falciparum, infected erythrocytes can adhere to the vascular endothelium, which causes endothelial barrier dysfunction. Some blood-stage parasites differentiate into sexual erythrocytic stages in the bone marrow and release gametocytes into the bloodstream after maturation. Anopheles mosquitoes ingest gametocytes during blood meals; they mature in the mosquito midgut into male gametes (microgametes) and female gametes (macrogametes) that fuse to form zygotes, which then develop into motile and elongated ookinetes. The ookinetes invade the mosquito midgut wall, where they develop into oocysts, rupture, and release sporozoites. These sporozoites then migrate to the salivary glands of the mosquito. Inoculation of sporozoites from salivary glands into new human hosts continues during the next blood meal. HDT can be implemented at both the liver and blood stages of this life cycle; potential strategies are listed in the boxes to the right (see text for details). Adapted from Nilsson et al.
List of host-targeting compounds with known anti-Plasmodium activity
| Compound | Target | Target type | Proposed mechanism | Ref. |
|---|---|---|---|---|
| K252a | c-MET and other kinases | protein kinase | inhibits kinase activity of c-Met and other tyrosine kinases | Carrolo et al. |
| Blockers of lipid transport (BLTs) | scavenger receptor (SR)-B1 | lipoprotein receptor | inhibits SR-B1-mediated selective uptake of lipids from high-density lipoproteins | Rodrigues et al. |
| Nutlin-3 | MDM2 | E3 ubiquitin-protein ligase | prevents degradation of p53, promotes lipid peroxidation in infected hepatocytes | Kaushansky et al. |
| Serdemetan | MDM2 | E3 ubiquitin-protein ligase | minimizes degradation of p53, eliminate | Douglass et al. |
| SB505124 | TGF-β receptor 1 | protein kinase | inhibits the enzymatic activity of kinases involved in multiple cellular processes | Arang et al. |
| Auphen | AQP3 | membrane protein | selectively and irreversibly inhibits glycerol transport by AQP3; effective against both liver and blood stages and against multiple human malarias | Posfai et al. |
| Brefeldin A | COPI | coatomer protein complex | blocks host intracellular protein trafficking | Raphemot et al. |
| Golgicide A | GBF1 | guanine nucleotide exchange factor | blocks host intracellular protein trafficking | Raphemot et al. |
| ABT-737, obatoclax | Bcl-2 family proteins | B cell lymphoma 2 family proteins | overcomes apoptotic block placed by parasites, eliminates | Douglass et al., |
| PP1 | Src family kinases | protein kinase | inhibits negative regulation of endothelial permeability by Src-family kinases, mediates dissociation of vascular endothelial (VE)-cadherin and redistribution of ZO-1 | Kaushansky et al., |
| Fasudil | Rho-associated protein kinase | protein kinase | decreases nuclear factor (NF)-κB activation and endothelial cell apoptosis, restores endothelial barrier integrity via rho-kinase signaling pathway | Gillrie et al., |
| Imatinib | receptor tyrosine kinases | protein kinase | inhibits erythrocyte band 3 phosphorylation, preventing parasite egress | Sicard et al., |
| PHA-665752 | c-MET | protein kinase | inhibits host c-MET activation during intra-erythrocytic development | Adderley et al. |
| Crizotinib | c-MET/Alk | protein kinase | inhibits host c-MET activation during intra-erythrocytic development | Adderley et al. |
| SB-590885 | B-Raf | protein kinase | inhibits host B-Raf activation, which halts parasite development during intra-erythrocytic ring stage development | Adderley et al. |
| IPA-3 | PAK1 | protein kinase | inhibits host MEK1 activation during intra-erythrocytic development | Sicard et al. |
| U-0126 | MEK1/2 | protein kinase | inhibits MEK1/2 activation during intra-erythrocytic development | Sicard et al. |
| Propranolol | heterotrimeric G protein (Gs) | G proteins | blocks merozoite invasion of erythrocytes and blood-stage growth | Murphy et al. |
| Erastin | SLC7A11 | cystine/glutamate transporter | blocks host SLC7a11-GPX4 pathway to induce lipid peroxidation in | Kain et al. |
FDA-approved kinase inhibitors of potential kinase targets for antimalarial HDT
| Host kinase | FDA-approved kinase inhibitor, with year of approval and original indication | Reference linking host target to malaria life cycle |
|---|---|---|
| MEK1 | trametinib (2013; melanoma) | Sicard et al. |
| cobimetinib (2015; melanoma) | ||
| binimetinib (2018; melanoma) | ||
| selumetinib (2020; neurofibromatosis type I) | ||
| SYK | fostamitinib (2018; chronic immune thrombocytopenia) | Pantaleo et al., |
| MET | crizotinib (2011; non-small cell lung carcinoma) | Carrolo et al., |
| capmatinib (2020; non-small cell lung carcinoma) | ||
| tepotinib (2021; non-small cell lung carcinoma) | ||
| BRAF | sorafenib (2005; hepatocellular, thyroid, and advanced renal cell carcinomas) | Kain et al., |
| vemurafenib (2011; metastatic melanoma) | ||
| regorafenib (2012; metastatic colorectal cancer) | ||
| dabrafenib (2013; cancers associated with a mutated version of the gene BRAF) | ||
| encorafenib (2018; cancers associated with a mutated version of the gene BRAF) | ||
| RET | pralsetinib (2020; thyroid and lung carcinomas) | Adderley et al. |
| JAK2 | ruxolitinib (2011; myelofibrosis) | Adderley et al. |
| tofacitinib (2012; rheumatoid arthritis, psoriatic arthritis, and ulcerative colitis) | ||
| baricitinib (2018; rheumatoid arthritis) | ||
| fedratinib (2019) | ||
| upadacitinib (2019) | ||
| CSK | dasatinib (2006; chronic myelogenous leukemia) | Arang et al. |
| ibrutinib (2013; mantle cell lymphoma) | ||
| FGFR4 | nintedanib (2014; idiopathic pulmonary fibrosis) | Arang et al. |
| erdafitinib (2019; urothelial carcinoma) | ||
| FLT1 | sunitinib (2006; advanced renal cell carcinoma and gastrointestinal stromal tumors) | Arang et al. |
| sorafenib (2005; advanced renal cell carcinoma) | ||
| nintedanib (2014; idiopathic pulmonary fibrosis) | ||
| vandetanib (2011; thyroid cancer) | ||
| cabozantinib (2012; medullary thyroid cancer) | ||
| pazopanib (2009; advanced renal cell cancer and advanced soft tissue sarcoma) | ||
| axitinib (2012; advanced renal cell carcinoma) | ||
| tivozanib (2021; advanced renal cell carcinoma) | ||
| lenvatinib (2015; progressive, differentiated thyroid cancer) | ||
| pexidartinib (2019; tenosynovial giant cell tumor) | ||
| FLT3 | sunitinib (2006; advanced renal cell carcinoma and gastrointestinal stromal tumors) | Arang et al. |
| sorafenib (2005; advanced renal cell carcinoma) | ||
| nintedanib (2014; idiopathic pulmonary fibrosis) | ||
| midostaurin (2017; acute myeloid leukemia) | ||
| cabozantinib (2012; medullary thyroid cancer) | ||
| ponatinib (2012; chronic myeloid leukemia and Philadelphia chromosome+ acute lymphoblastic leukemia) | ||
| fedratinib (2019; myelofibrosis) | ||
| ceritinib (2014; non-small cell lung cancer) | ||
| gilteritinib (2018; acute myeloid leukemia) | ||
| pexidartinib (2019; tenosynovial giant cell tumor) | ||
| brigatinib (2017; non-small cell lung cancer) | ||
| IRAK1 | sunitinib (2006; advanced renal cell carcinoma and gastrointestinal stromal tumors) | Arang et al. |
| STK35 | bosutinib (2012; chronic myelogenous leukemia) | Prudêncio et al. |
Computational methods for host-based drug repurposing
| Approach | Input data | Methodology |
|---|---|---|
| Signature matching | transcriptomic, proteomic, or metabolomic characteristics in healthy and disease conditions | a negative correlation between drug-treated characteristics and characteristics in disease condition indicates that the drug may drive cells from disease state back to healthy state |
| Molecular docking | 3D structural information on proteins and drugs | compute the energetic binding likelihood between each drug and the target, followed by scoring of the drugs and selecting top candidates for further validations |
| Network-based method | integration of multiple data types (i.e., gene expression, protein-protein interactions, metabolic reactions, and disease pathology) | compile different information sources and expand dimension of biological systems; capture relationships between modules/elements in the networks; discover novel drug-target-disease interactions or perform quantitative analysis on these interactions |
| Machine learning | known drug-target interactions, phenotypic measurements upon drug treatment | learn features that drive the phenotypic state of cells based on known drug-target interactions; predict drug candidates that can reverse the cellular state based on the selected features |