Antibody-mediated drug delivery Arslan, Fatma Betul; Ozturk, Kivilcim; Calis, Sema
International journal of pharmaceutics,
03/2021, Letnik:
596
Journal Article
Recenzirano
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Passive and active targeted nanoparticulate delivery systems show promise to compensate for lacking properties of conventional therapy such as side effects, insufficient efficiency ...and accumulation of the drug at target site, poor pharmacokinetic properties etc. For active targeting, physically or covalently conjugated ligands, including monoclonal antibodies and their fragments, are consistently used and researched for targeting delivery systems or drugs to their target site. Currently, there are several FDA approved actively targeted antibody-drug conjugates, whereas no active targeted delivery system is in clinical use at present. However, efforts to successfully formulate actively targeted delivery systems continue. The scope of this review will be the use of monoclonal antibodies and their fragments as targeting ligands. General information about targeted delivery and antibodies will be given at the first half of the review. As for the second half, fragmentation of antibodies and conjugation approaches will be explained. Monoclonal antibodies and their fragments as targeting ligands and approaches for conjugating these ligands to nanoparticulate delivery systems and drugs will be the main focus of this review, polyclonal antibodies will not be included.
Precision cancer medicine promises to tailor clinical decisions to patients using genomic information. Indeed, successes of drugs targeting genetic alterations in tumors, such as imatinib that ...targets BCR–ABL in chronic myelogenous leukemia, have demonstrated the power of this approach. However, biological systems are complex, and patients may differ not only by the specific genetic alterations in their tumor, but also by more subtle interactions among such alterations. Systems biology and more specifically, network analysis, provides a framework for advancing precision medicine beyond clinical actionability of individual mutations. Here we discuss applications of network analysis to study tumor biology, early methods for N-of-1 tumor genome analysis, and the path for such tools to the clinic.
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•Networks provide a platform for inference from 'omic data.•Many network-based methods have been developed around cancer 'omic data analysis.•Most tumor network analyses rely on cohorts, but some N-of-1 methods exist.•Many challenges remain for applying network-based analysis in clinical settings.
The major histocompatibility complex class I (MHC-I) molecule is a protein complex that displays intracellular peptides to T cells, allowing the immune system to recognize and destroy infected or ...cancerous cells. MHC-I is composed of a highly polymorphic HLA-encoded alpha chain that binds the peptide and a Beta-2-microglobulin (B2M) protein that acts as a stabilizing scaffold. HLA mutations have been implicated as a mechanism of immune evasion during tumorigenesis, and B2M is considered a tumor suppressor gene. However, the implications of somatic HLA and B2M mutations have not been fully explored in the context of antigen presentation via the MHC-I molecule during tumor development. To understand the effect that B2M and HLA MHC-I molecule mutations have on mutagenesis, we analyzed the accumulation of mutations in patients from The Cancer Genome Atlas according to their MHC-I molecule mutation status.
Somatic B2M and HLA mutations in microsatellite stable tumors were associated with higher overall mutation burden and a larger fraction of HLA-binding neoantigens when compared to B2M and HLA wild type tumors. B2M and HLA mutations were highly enriched in patients with microsatellite instability. B2M mutations tended to occur relatively early during patients' respective tumor development, whereas HLA mutations were either early or late events. In addition, B2M and HLA mutated patients had higher levels of immune infiltration by natural killer and CD8+ T cells and higher levels of cytotoxicity.
Our findings add to a growing body of evidence that somatic B2M and HLA mutations are a mechanism of immune evasion by demonstrating that such mutations are associated with a higher load of neoantigens that should be presented via MHC-I.
SARS-CoV-2 antibodies develop within two weeks of infection, but wane relatively rapidly post-infection, raising concerns about whether antibody responses will provide protection upon re-exposure. ...Here we revisit T-B cooperation as a prerequisite for effective and durable neutralizing antibody responses centered on a mutationally constrained RBM B cell epitope. T-B cooperation requires co-processing of B and T cell epitopes by the same B cell and is subject to MHC-II restriction. We evaluated MHC-II constraints relevant to the neutralizing antibody response to a mutationally-constrained B cell epitope in the receptor binding motif (RBM) of the spike protein. Examining common MHC-II alleles, we found that peptides surrounding this key B cell epitope are predicted to bind poorly, suggesting a lack MHC-II support in T-B cooperation, impacting generation of high-potency neutralizing antibodies in the general population. Additionally, we found that multiple microbial peptides had potential for RBM cross-reactivity, supporting previous exposures as a possible source of T cell memory.
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Carvedilol (CAR) is a widely studied, beta and alpha-1 blocker, antihypertensive drug due to its poor water solubility and low oral bioavailability (25–35%). The aim of this work is ...to improve poor water solubility and the pharmacokinetic parameters of carvedilol by using an optimized and self-assembly prepared micelle formulation. Optimized micelle formulation composed of Pluronic® F127, D-α-tocopheryl polyethylene glycol 1000 succinate, L-cysteine HCl in a ratio of 4:3:3. Micellar size, polydispersity index, zeta potential, morphology, critical micelle concentration, thermal behaviors, in-vitro dissolution of micelles and pharmacokinetic parameters in rats were characterized in this study. Carvedilol aqueous solubility increased (up to 271-fold) as a result of its encapsulation within a mixed micelle formulation. The measured micellar sizes of blank and carvedilol loaded mixed micelles are lower than 30 nm with size distributions of 26.69 ± 2.93 nm and 24.16 ± 4.89 nm, respectively. Transmission electron microscopy revealed that the micelles were spherically shaped. There is a significant enhancement of carvedilol dissolution compared to commercially available tablet formulation (f2 < 50). The in-vivo test demonstrated that the t1/2 and AUC0–∞ values of micelles were approximately 10.89- and 2.65-fold greater than that of the commercial tablets, respectively. Based on our study, bring such applications into being may provide effective new drugs for treatment armamentarium of cardiovascular diseases and hypertension in near future.
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Polymeric nanoparticles are widely used drug delivery systems for cancer treatment due to their properties such as ease of passing through biological membranes, opportunity to modify ...drug release, specifically targeting drugs to diseased areas, and potential of reducing side effects. Here, we formulated irinotecan and Stattic co-loaded PLGA nanoparticles targeted to small cell lung cancer. Nanoparticles were successfully conjugated with CD56 antibody with a conjugation efficiency of 84.39 ± 1.01%, and characterization of formulated nanoparticles was conducted with in-vitro and in-vivo studies. Formulated particles had sizes in the range of 130–180 nm with PDI values smaller than 0.3. Encapsulation and active targeting of irinotecan and Stattic resulted in increased cytotoxicity and anti-cancer efficiency in-vitro. Furthermore, it was shown with ex-vivo biodistribution studies that conjugated nanoparticles were successfully targeted to CD56-expressing SCLC cells and distributed mainly to tumor tissue and lungs. Compliant with our hypothesis and literature, the STAT3 pathway was successfully inhibited with Stattic solution and Stattic loaded nanoparticles. Additionally, intravenous injection of conjugated co-loaded nanoparticles resulted in decreased side effects and better anti-tumor activity than individual solutions of drugs in SCLC tumor-bearing mice. These results may indicate a new treatment option for clinically aggressive small cell lung cancer.
Abstract Gemcitabine (GEM) is a first-line treatment for pancreatic ductal adenocarcinoma (PDAC) patients, causing side effects and poor overall survival. Eighty percent of patients often develop ...resistance rapidly to GEM. Developing therapeutic approaches and increasing sensitivity to gemcitabine in PDAC has become one of the challenges in cancer research. We synthesized GEM-loaded NPs prepared with a method that combines ultrasonication and ionotropic gelation to overcome GEM-related limitations in PDAC. CFPAC-1 cells were treated with increased concentrations of GEM, empty chitosan, and GEM-loaded NPs (0.66, 1.32, 2.64, 5.32 µg/ml) for up to 48 h. Empty chitosan NPs did not show toxicity on L929 cells. Antioxidant enzyme activities, including glucose 6-phosphate dehydrogenase (G6PD), 6-phosphogluconate dehydrogenase (6-PGD), glutathione reductase (GR), glutathione s-transferase (GST), and glutathione peroxidase (GPx), significantly reduced in GEM-loaded NPs compared to the GEM associated with increased oxidative stress, PPP, and glycolysis. Bcl-xL, NOXA/mcl-1, and Ca 2+ levels significantly increased in GEM-loaded NP-administered cells compared to the GEM and control groups. In contrast, JNK, p38, STAT3, Akt, and CREB levels significantly decreased in the GEM-loaded NP group, addressing enhanced apoptotic response compared to the GEM alone. Increased ferroptosis activity in GEM-loaded NP-administered groups has been validated via decreased antioxidant enzyme activities, increased cytosolic Fe, Zn, Mg, and Mn levels, and reduced GPx activity compared to the GEM and control groups. For the first time in the literature, we showed biocompatible GEM-loaded NPs enhanced apoptotic and ferroptotic response in CFPAC-1 cells via downregulation of antioxidant, glycolysis, and PPP metabolism compared to the GEM alone. Graphical abstract
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Tumor-targeted delivery of anticancer drugs using dendrimers has been recognized as a promising strategy to increase efficiency and reduce adverse effects of chemotherapy. Herein, we ...developed a dendrimer-based drug delivery system targeting Flt-1 (a receptor for vascular endothelial growth factors (VEGF)) receptor to improve therapeutic efficacy of gemcitabine in pancreatic cancer. Synthesized polyethylene glycol (PEG)-cored PAMAM dendrimers, which bear anionic carboxylic acid groups on the surface were modified with PEG chains, which were then conjugated with Flt-1 antibody. Following structural and chemical characterization studies, gemcitabine HCl-dendrimer inclusion complexes were successfully prepared. These complexes were efficiently engulfed by Flt-1 expressing pancreatic cancer cells, which enhanced the cytotoxicity of gemcitabine. Moreover, pancreatic tumors established in mice were highly targeted by PEG-cored Flt-1 antibody-conjugated dendrimers and increased accumulation of these gemcitabine-loaded complexes exhibited satisfactory in vivo anti-cancer efficacy. In conclusion, dendrimer-based targeted delivery of chemotherapeutics may serve as a promising approach for the treatment of malignancies such as pancreatic cancer that do not benefit from conventional chemotherapy.
Variant interpretation remains a central challenge for precision medicine. Missense variants are particularly difficult to understand as they change only a single amino acid in a protein sequence yet ...can have large and varied effects on protein activity. Numerous tools have been developed to identify missense variants with putative disease consequences from protein sequence and structure. However, biological function arises through higher order interactions among proteins and molecules within cells. We therefore sought to capture information about the potential of missense mutations to perturb protein interaction networks by integrating protein structure and interaction data. We developed 16 network-based annotations for missense mutations that provide orthogonal information to features classically used to prioritize variants. We then evaluated them in the context of a proven machine-learning framework for variant effect prediction across multiple benchmark datasets to demonstrate their potential to improve variant classification. Interestingly, network features resulted in larger performance gains for classifying somatic mutations than for germline variants, possibly due to different constraints on what mutations are tolerated at the cellular versus organismal level. Our results suggest that modeling variant potential to perturb context-specific interactome networks is a fruitful strategy to advance in silico variant effect prediction.
Nanoparticles loaded with 5-fluorouracil (5-FU) for colon cancer therapies were prepared using the solvent evaporation technique, which involved lyophilization by freeze-drying. Formulations produced ...a substantially high encapsulation efficiency of approximately 93%. A positive correlation was seen when increasing polycaprolactone (PCL) and/or PVA concentrations and the size of nanoparticles produced. Increasing PCL concentration had a considerable influence on PDI while increasing PVA concentration had a lesser effect. All nanoparticles possessed a negative zeta potential, particularly in formulations with low polymer and polymer emulsifier concentrations. The formulation with the lowest PCL and PVA concentration was characterized by the most optimal properties; which accounts for the desirable delayed release profile of the active drug in dissolution testing indicating an improved targeting capability and enhanced bioavailability at the action site. Cytotoxicity studies showed that 5-FU loaded PCL nanoparticles had higher antiproliferative effect than free 5-FU on Caco-2 cell line (p < 0.05). The encouraging results obtained offer reasons for optimism regarding the future of 5-FU nanoparticles as a promising drug delivery system which could be further improved by including either enteric coating or encapsulating the nanoparticles onto microparticles to overcome unanticipated degradation.