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.
Macrophages are important regulators of obesity-associated inflammation and PPARα and -γ agonism in macrophages has anti-inflammatory effects. In this study, we tested the efficacy with which liposomal delivery could target the PPARα/γ dual agonist tesaglitazar to macrophages while reducing drug action in common sites of drug toxicity: the liver and kidney, and whether tesaglitazar had anti-inflammatory effects in an in vivo model of obesity-associated dysmetabolism.Methods: Male leptin-deficient (ob/ob) mice were administered tesaglitazar or vehicle for one week in a standard oral formulation or encapsulated in liposomes. Following the end of treatment, circulating metabolic parameters were measured and pro-inflammatory adipose tissue macrophage populations were quantified by flow cytometry. Cellular uptake of liposomes in tissues was assessed using immunofluorescence and a broad panel of cell subset markers by flow cytometry. Finally, PPARα/γ gene target expression levels in the liver, kidney, and sorted macrophages were quantified to determine levels of drug targeting to and drug action in these tissues and cells.Results: Administration of a standard oral formulation of tesaglitazar effectively treated symptoms of obesity-associated dysmetabolism and reduced the number of pro-inflammatory adipose tissue macrophages. Macrophages are the major cell type that took up liposomes with many other immune and stromal cell types taking up liposomes to a lesser extent. Liposome delivery of tesaglitazar did not have effects on inflammatory macrophages nor did it improve metabolic parameters to the extent of a standard oral formulation. Liposomal delivery did, however, attenuate effects on liver weight and liver and kidney expression of PPARα and -γ gene targets compared to oral delivery.Conclusions: These findings reveal for the first time that tesaglitazar has anti-inflammatory effects on adipose tissue macrophage populations in vivo. These data also suggest that while nanoparticle delivery reduced off-target effects, yet the lack of tesaglitazar actions in non-targeted cells such (as hepatocytes and adipocytes) and the uptake of drug-loaded liposomes in many other cell types, albeit to a lesser extent, may have impacted overall therapeutic efficacy. This fulsome analysis of cellular uptake of tesaglitazar-loaded liposomes provides important lessons for future studies of liposome drug delivery.
Targeted nanoparticle delivery is a promising strategy for increasing efficacy and limiting side effects of therapeutics. When designing a targeted liposomal formulation, the in vivo biodistribution of the particles must be characterized to determine the value of the targeting approach. Peroxisome proliferator-activated receptor (PPAR) agonists effectively treat metabolic syndrome by decreasing dyslipidemia and insulin resistance but side effects have limited their use, making them a class of compounds that could benefit from targeted liposomal delivery. The adipose targeting sequence peptide (ATS) could fit this role, as it has been shown to bind to adipose tissue endothelium and induce weight loss when delivered conjugated to a pro-apoptotic peptide. To date, however, a full assessment of ATS in vivo biodistribution has not been reported, leaving important unanswered questions regarding the exact mechanisms whereby ATS targeting enhances therapeutic efficacy. We designed this study to evaluate the biodistribution of ATS-conjugated liposomes loaded with the PPARα/γ dual agonist tesaglitazar in leptin-deficient ob/ob mice. The ATS-liposome biodistribution in adipose tissue and other organs was examined at the cellular and tissue level using microscopy, flow cytometry, and fluorescent molecular tomography. Changes in metabolic parameters and gene expression were measured by target and off-target tissue responses to the treatment. Unexpectedly, ATS targeting did not increase liposomal uptake in adipose relative to other tissues, but did increase uptake in the kidneys. Targeting also did not significantly alter metabolic parameters. Analysis of the liposome cellular distribution in the stromal vascular fraction with flow cytometry revealed high uptake by multiple cell types. Our findings highlight the need for thorough study of in vivo biodistribution when evaluating a targeted therapy.
Melanoma develops the ability to evade immune recognition through multiple mechanisms, despite being highly immunogenic. This is demonstrated by the effective and additive response checkpoint blockade therapies have had during combination clinical trials in melanoma [1]. While the results of these trials have been promising, large portions of patients do not respond to treatment [1,2]. Additionally, many responders take months to show a response using standard criteria. In order to monitor patient response and understand the limitations of immunotherapy, we performed phage display to discover peptides targeted to tumor infiltrating lymphocytes (TILs) in melanoma tumors. To improve phage library characterization, we developed a method to deep sequence phage with the Ilumina MiSeq platform. Phage screens using PhD7 library (NEB) performed on HUVECS and on TILs, naïve and effector T cells, and B cells harvested from mice. The phage libraries generated from these screens were deep sequenced using the Illumina MiSeq system. The sequencing data was analyzed with an efficient, custom MATLAB script, which arranges sequences by frequency determining peptide frequencies for each library. Peptide frequency was normalized to a reference library generated by amplifying an unscreened phage library. T cell screens were compared with B cell and endothelial cell screens in sequence frequency matrices. Top TIL targeting sequences were cloned into phage, and then fluorescently labeled along with insert-less control phage. Labeled phage were incubated with TILs, or effector T cells and analyzed for specificity using flow cytometry. Four phage clones were identified with at least four fold increased binding for TILs over effector T cells isolated from the spleen. Interestingly, only subsets of the TILs were bound by the targeted phage. We have identified and validated peptides that demonstrate specificity for CD8 TILs. These peptide sequences represent candidates for development into companion diagnostic imaging agents for use with checkpoint therapies. We are currently evaluating these peptides in an in vivo tumor model to further validate their specificity and to determine their biodistributions. Peptides that validate in vivo could be developed into useful imaging agents. After peptide sequences have been validated in vivo, we will determine the phage binding partner using a phage based pulldown. The peptide binding partners discovered through this approach will provide insight into the subset of TILs bound by the phage. [1] Wolchok, J. D. et al., N Engl J Med 2013; 369:122-133. [2] Drake, CG. et al., Clin Cancer Res November 15, 201117. Citation Format: Dustin Bauknight, Andrew Buckner, Lindsey Brinton, Timothy Bullock, Kimberly Kelly. T cell targeted peptides for monitoring immune response in melanoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4147.
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