No abstract

Conventional chemotherapeutic drugs have significant limitations. For example, tumors may develop resistance, cancers may relapse after treatment, and the drugs may induce secondary malignancies in the treatment of metastatic cancer. There is still a great need for drugs that are able to destroy cancer cells selectively, that is, to effectively treat slow-growing and dormant cells without being affected by chemoresistance mechanisms. A growing number of studies indicate that peptides may be beneficial for drug discovery and development. Peptides offer minimal immunogenicity, excellent tissue penetrability, low-cost manufacturability, and ease of modification for enhancing in vivo stability and biological activity, properties which make them ideal candidates for cancer treatment. This review highlights recent advances in and future prospects for the application of peptides as therapeutic agents for cancer therapy. We discuss the application of peptides in cancer therapy, alone and in combination with other peptides or small-molecule chemotherapeutic drugs, for use in targeted cancer therapy. Furthermore, we consider the use of peptides as a carrier for targeted molecular imaging in the diagnosis and follow-up treatment of cancer. This account also reviews the challenges of using peptide drugs and ways to overcome these limitations. The results obtained in studies presented in this paper indicate that peptides are promising candidates for targeted cancer therapy.

The aim of this study was the preparation, optimization, and in vitro characterization of insulin nanoparticles composed of methylated N-(4-N,N-dimethylaminobenzyl), methylated N-(4-pyridinyl), and methylated N-(benzyl) chitosan. Three types of derivatives were synthesized by the Schiff base reaction followed by quaternization. Nanoparticles were prepared by the polyelectrolyte complexation method. Experimental design D-optimal response surface methodology was used for the optimization of the nanoparticles. Independent variables were pH of polymer solution, concentration ratio of polymer/insulin, and also polymer type. Dependent variables include size, zeta potential, polydispersity index (PdI), and entrapment efficiency (EE%). Optimized nanoparticles were studied morphologically by transmission electron microscopy (TEM), and in vitro release of insulin from nanoparticles were determined under phosphate buffer (pH = 6.8) condition. Although a quadratic model has been chosen to fit the responses for size, PdI, and EE%, the zeta potential of the particles has been best fitted to 2-FI model. The optimized nanoparticles were characterized. The size of the particles were found to be 346, 318, and 289 nm; zeta potentials were 28.5, 27.7, and 22.2 mV; PdI of particles were 0.305, 0.333, and 0.437; and calculated EE% were 70.3%, 84.5%, and 69.2%, for methylated (aminobenzyl), methylated (pyridinyl), and methylated (benzyl) chitosan nanoparticles, respectively. TEM images show separated and non-aggregated nanoparticles with sub-spherical shapes and smooth surfaces. An in vitro release study of the prepared nanoparticles showed that the cumulative percentage of insulin released from the nanoparticles were 47.1%, 38%, and 68.7% for (aminobenzyl), (pyridinyl), and (benzyl) chitosan, respectively, within 300 min.

Imbalance between amyloid-beta (Aβ) peptide synthesis and clearance results in Aβ deregulation. Failure to clear these peptides appears to cause the development of Alzheimer’s disease (AD). In recent years, microRNAs have become established key regulators of biological processes that relate among others to the development and progression of neurodegenerative diseases, such as AD. This review article gives an overview on microRNAs that are involved in the Aβ cascade and discusses their inhibitory impact on their target mRNAs whose products participate in Aβ clearance. Understanding of the mechanism of microRNA in the associated signal pathways could identify novel therapeutic targets for the treatment of AD.