Affiliation:
1. Department of Biotechnology, Vignan’s Foundation for Science, Technology and Research , Guntur-Tenali Rd , Vadlamudi , 522213, Andhra Pradesh , India
2. IgY Immunologix India Private Limited , Narsingi, Rangareddy , Hyderabad, 500089, Telangana , India
Abstract
Abstract
Exosomes are nanosized cell-derived vesicles that have recently gained attention for their use as a biomarker since the biomolecules encountered in these vesicles are directly linked to specific diseases including immuno-inflammatory, cardiovascular, and hepatic disorders. Furthermore, due to their nano size and safe travel in extracellular fluids, exosomes have been investigated as natural drug delivery systems, delivering cargo to destined cells with excellent specificity and efficiency, and crossing the blood–brain barrier. This necessitates the isolation and detection of exosomes. However, numerous exosome isolation techniques are available, including ultracentrifugation, size-based chromatography, polymer precipitation, microfluidics, and immunoaffinity-based isolation, with the downfalls of non-specificity and lower cost-effectiveness. This article introduces an immunoaffinity-based detection of exosomes using targeted anti-exosome antibodies raised in chickens due to its economic and commercial viability. The current study is unique in that it identified a specific antigenic region on exosomal surface tetraspanins (CD9, CD63, CD81) and constructed a multiple antigenic peptide dendrimer for making a small peptide as an immunogen without the use of a carrier protein. The antigenic region selection is critical to the study because it determines the efficiency of antibodies for exosome capture. This technique was validated using enzyme-linked immunosorbent assay in various biological fluids such as serum, urine, milk, plasma, and blood due to its numerous advantages including high sensitivity, specificity, handling multiple samples at once, requiring a small sample amount, and no purification as an antigen. In light of this technique, it is a useful tool for clinical monitoring of the patient’s biological conditions.
Cited by
2 articles.
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