Targeting Mitochondria in Tumor-Associated Macrophages using a Dendrimer-Conjugated TSPO Ligand that Stimulates Antitumor Signaling in Glioblastoma.
Anjali SharmaKevin LiawRishi SharmaAjit G ThomasBarbara S SlusherSujatha KannanRangaramanujam M KannanPublished in: Biomacromolecules (2020)
Mitochondria mediate critical cellular processes, including proliferation, apoptosis, and immune responses; as such, their dysfunction is pathogenic in many neurodegenerative disorders and cancers. In glioblastoma, targeted delivery of mitochondria-focused anticancer therapies has failed to translate into clinical success due to the nonspecific cellular localization, heterogeneity of receptor expression across patients, poor transport across biological barriers to reach the brain, tumor, and mitochondria, and systemic side effects. Strategies that can overcome brain and solid tumor barriers and selectively target mitochondria within specific cell types may lead to improvements in glioblastoma treatment. Developments in dendrimer-mediated nanomedicines have shown promise targeting tumor-associated macrophages (TAMs) in glioblastoma, following systemic administration. Here, we present a novel dendrimer conjugated to the translocator protein (18 kDa) (TSPO) ligand 5,7-dimethylpyrazolo[1,5-α]pyrimidin-3-ylacetamide (DPA). We developed a clickable DPA for conjugation on the dendrimer surface and demonstrated in vitro that the dendrimer-DPA conjugate (D-DPA) significantly increases dendrimer colocalization with mitochondria. Compared to free TSPO ligand PK11195, D-DPA stimulates greater antitumor immune signaling. In vivo, we show that D-DPA targets mitochondria specifically within TAMs following systemic administration. Our results demonstrate that dendrimers can achieve TAM-specific targeting in glioblastoma and can be further modified to target specific intracellular compartments for organelle-specific drug delivery.
Keyphrases
- cell death
- reactive oxygen species
- endoplasmic reticulum
- cancer therapy
- drug delivery
- immune response
- oxidative stress
- single cell
- end stage renal disease
- photodynamic therapy
- machine learning
- newly diagnosed
- cell cycle arrest
- chronic kidney disease
- stem cells
- mesenchymal stem cells
- cell therapy
- dendritic cells
- computed tomography
- deep learning
- prognostic factors
- brain injury
- cell proliferation
- big data
- smoking cessation
- patient reported outcomes
- artificial intelligence