Formulation and in Vitro Characterization of Spray-Dried Antisense Oligonucleotide to NF-Kappa B Encapsulated Albumin Microspheres

Citation

Sanjay G. Gayakwad, Naveen K. Bejugam, Nima Akhavein, Nasir A. Uddin, Carl E Oettinger & Martin J. D’Souza (2009) Formulation and in vitro characterization of spray-dried antisense oligonucleotide to NF-κB encapsulated albumin microspheres, Journal of Microencapsulation, 26:8, 692-700, DOI: 10.3109/02652040802666910

Abstract

The aim of this study was to formulate and characterize microspheres containing antisense oligonucleotide to NF-κB using bovine serum albumin as the polymer matrix. Microspheres were prepared by spray-drying technique with 5, 10 and 15% drug loading. Glutaraldehyde was used as a cross-linking agent. The particle sizes ranged from 3–5 µm. Microspheres were smooth and spherical in shape, as determined by scanning electron microscopy (SEM). The yield of microspheres ranged from 70–75% and the encapsulation efficiencies were found to be in the range of 59–60%, as determined by a novel HPLC method. Zeta potential of the microspheres ranged between −39 to −53 mV, thus indicating good suspension stability in water. In-vitro release studies performed using phosphate buffer saline demonstrated extended drug release up to 72 h. Kinetic model fitting showed high correlation with the Higuchi model, suggesting that the drug release was primarily diffusion controlled.

Keywords: Microspheres, antisense oligonucleotide, NF-kB, albumin, spray-drying


Read more from SRI

  • An arid, rural Nevada landscape

    Can AI help us find valuable minerals?

    SRI’s machine learning-based geospatial analytics platform, already adopted by the USGS, is poised to make waves in the mining industry.

  • Two students in a computer lab

    Building a lab-to-market pipeline for education

    The SRI-led LEARN Network demonstrates how we can get the best evidence-based educational programs to classrooms and students.

  • Code reflected in a man's eyeglasses

    LLM risks from A to Z

    A new paper from SRI and Brazil’s Instituto Eldorado delivers a comprehensive update on the security risks to large language models.