Although reperfusion is essential in restoring circulation to ischemic myocardium, it also leads to irreversible events including reperfusion injury, decreased cardiac function and ultimately scar formation. Various cell types are involved in the multi-phase repair process including inflammatory cells, vascular cells and cardiac fibroblasts. Therapies targeting these cell types in the infarct border zone can improve cardiac function but are limited by systemic side effects. The aim of this work was to develop liposomes with surface modifications to include peptides with affinity for cell types present in the post-infarct myocardium. To identify peptides specific for the infarct/border zone, we used in vivo phage display methods and an optical imaging approach: fluorescence molecular tomography (FMT). We identified peptides specific for cardiomyocytes, endothelial cells, myofibroblasts, and c-Kit+ cells present in the border zone of the remodeling infarct. These peptides were then conjugated to liposomes and in vivo specificity and pharmacokinetics were determined. As a proof of concept, cardiomyocyte specific (I-1) liposomes were used to deliver a PARP-1 (Poly [ADP-ribose] polymerase 1) inhibitor: AZ7379. Using a targeted liposomal approach, we were able to increase AZ7379 availability in the infarct/border zone at 24 h post-injection as compared to free AZ7379. We observed ~3-fold higher efficiency of PARP-1 inhibition when all cell types were assessed using I-1 liposomes as compared to negative control peptide liposomes (NCP). When analyzed further, I-1 liposomes had a 9-fold and 1.5-fold higher efficiency in cardiomyocytes and macrophages, respectively, as compared to NCP liposomes. In conclusion, we have developed a modular drug delivery system that can be targeted to cell types of therapeutic interest in the infarct border zone.

Next-generation sequencing has enhanced the phage display process, allowing for the quantification of millions of sequences resulting from the biopanning process. In response, many valuable analysis programs focused on specificity and finding targeted motifs or consensus sequences were developed. For targeted drug delivery and molecular imaging, it is also necessary to find peptides that are selective—targeting only the cell type or tissue of interest. We present a new analysis strategy and accompanying software, PHage Analysis for Selective Targeted PEPtides (PHASTpep), which identifies highly specific and selective peptides. Using this process, we discovered and validated, both in vitro and in vivo in mice, two sequences (HTTIPKV and APPIMSV) targeted to pancreatic cancer-associated fibroblasts that escaped identification using previously existing software. Our selectivity analysis makes it possible to discover peptides that target a specific cell type and avoid other cell types, enhancing clinical translatability by circumventing complications with systemic use.

Advances in genomics and proteomics drive precision medicine by providing actionable genetic alterations and molecularly targeted therapies, respectively. While genomic analysis and medicinal chemistry have advanced patient stratification with treatments tailored to the genetic profile of a patient's tumor, proteomic targeting has the potential to enhance the therapeutic index of drugs like poly(ADP-ribose) polymerase (PARP) inhibitors. PARP inhibitors in breast and ovarian cancer patients with BRCA1/2 mutations have shown promise. About 10% of the patients who received Olaparib (PARP inhibitor) showed adverse side effects including neutropenia, thrombocytopenia and in some cases resulted in myelodysplastic syndrome, indicating that off-target effects were substantial in these patients. Through proteomic analysis, our lab previously identified plectin, a cytolinker protein that mislocalized onto the cell surface during malignant transformation of healthy ovarian tissue. This cancer specific phenotype allowed us to image pancreatic cancer successfully using plectin targeted peptide (PTP) conjugated to nanoparticles or displayed on capsid protein of adeno-associated virus (AAV) particles.Objective: The goal of this study was to integrate the available pharmacogenomics and proteomic data to develop effective anti-tumor therapies using a targeted drug delivery approach.Methods: Plectin expression and localization in human ovarian tumor specimens were analyzed followed by in vitro confirmation of cell surface plectin localization in healthy and ovarian cancer cell lines. PTP-conjugated liposomes were prepared and their specificity for plectin+ cells was determined in vitro and in vivo. A remote loading method was employed to encapsulate a PARP inhibitor (AZ7379) into liposomes. An ideal buffer exchange method and remote loading conditions were determined based on the amount of lipid and drug recovered at the end of a remote loading process. Finally, in vivo tumor growth studies were performed to determine the efficacy of PTP liposomes in preventing PARP activity in mice bearing OVCAR8 (high grade epithelial ovarian cancer (EOC)) tumors.Results: PTP liposomal AZ7379 delivery not only enhanced PARP inhibition but also resulted in decelerated tumor growth in mice bearing subcutaneous and intraperitoneal OVCAR8 tumors. In mice bearing subcutaneous or intraperitoneal tumors, treatment with PTP liposomes resulted in a 3- and 1.7-fold decrease in tumor volume, respectively, compared to systemic drug treatment.Conclusion: Targeted drug delivery assisted by genomic and proteomic data provides an adaptable model system that can be extended to effectively treat other cancers and diseases.

Despite imaging agents being some of the earliest nanomedicines in clinical use, the vast majority of current research and translational activities in the nanomedicine field involves therapeutics, while imaging agents are severely underrepresented. The reasons for this lack of representation are several fold, including difficulties in synthesis and scale‐up, biocompatibility issues, lack of suitable tissue/disease selective targeting ligands and receptors, and a high bar for regulatory approval. The recent focus on immunotherapies and personalized medicine, and development of nanoparticle constructs with better tissue distribution and selectivity, provide new opportunities for nanomedicine imaging agent development. This manuscript will provide an overview of trends in imaging nanomedicine characterization and biocompatibility, and new horizons for future development. This article is categorized under: Diagnostic Tools > in vivo Nanodiagnostics and Imaging Toxicology and Regulatory Issues in Nanomedicine > Toxicology of Nanomaterials Toxicology and Regulatory Issues in Nanomedicine > Regulatory and Policy Issues in Nanomedicine

The recent advancement of nanotechnology has provided unprecedented opportunities for the development of nanoparticle enabled technologies for detecting and treating cancer. Here, we reported the construction of a PET trackable organic nanoplatform based on phage particle for targeted tumor imaging. Method: The integrin αvβ3 targeted phage nanoparticle was constructed by expressing RGD peptides on its surface. The target binding affinity of this engineered phage particle was evaluated in vitro. A bifunctional chelator (BFC) 1,4,7,10-tetraazadodecane-N,N',N",N"'-tetraacetic acid (DOTA) or 4-((8-amino-3,6,10,13,16,19-hexaazabicyclo [6.6.6] icosane-1-ylamino) methyl) benzoic acid (AmBaSar) was then conjugated to the phage surface for 64Cu2+ chelation. After 64Cu radiolabeling, microPET imaging was performed in U87MG tumor model and the receptor specificity was confirmed by blocking experiments. Results: The phage-RGD demonstrated target specificity based on ELISA experiment. According to the TEM images, the morphology of the phage was unchanged after the modification with BFCs. The labeling yield was 25 ± 4% for 64Cu-DOTA-phage-RGD and 46 ± 5% for 64Cu-AmBaSar-phage-RGD, respectively. At 1 h time point, 64Cu-DOTA-phage-RGD and 64Cu-AmBaSar-phage-RGD have comparable tumor uptake (~ 8%ID/g). However, 64Cu-AmBaSar-phage-RGD showed significantly higher tumor uptake (13.2 ± 1.5 %ID/g, P<0.05) at late time points compared with 64Cu-DOTA-phage-RGD (10 ± 1.2 %ID/g). 64Cu-AmBaSar-phage-RGD also demonstrated significantly lower liver uptake, which could be attributed to the stability difference between these chelators. There is no significant difference between two tracers regarding the uptake in kidney and muscle at all time points tested. In order to confirm the receptor specificity, blocking experiment was performed. In the RGD blocking experiment, the cold RGD peptide was injected 2 min before the administration of 64Cu-AmBaSar-phage-RGD. Tumor uptake was partially blocked at 1 h time point. Phage-RGD particle was also used as the competitive ligand. In this case, the tumor uptake was significantly reduced and the value was kept at low level consistently. Conclusion: In this report, we constructed a PET trackable nanoplatform based on phage particle and demonstrated the imaging capability of these targeted agents. We also demonstrated that the choice of chelator could have significant impact on imaging results of nano-agents. The method established in this research may be applicable to other receptor/ligand systems for theranostic agent construction, which could have an immediate and profound impact on the field of imaging/therapy and lay the foundation for the construction of next generation cancer specific theranostic agents.