Evidence map›Paper›PMID 42573845›Full record

ArticleMolecular biology reports2026

Optimized polyethylene glycol precipitation yields high-purity, biologically active mouse liver tissue exosomes.

Ranjith Balakrishnan, Rajasekaran Subbarayan, Rupendra Shrestha, Ankush Chauhan

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Article in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Ranjith BalakrishnanCentre for Advanced Biotherapeutics and Regenerative Medicine, Faculty of Research, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India.
Rajasekaran SubbarayanCentre for Advanced Biotherapeutics and Regenerative Medicine, Faculty of Research, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India. rajantu08@gmail.com.ORCID http://orcid.org/0000-0001-5890-5273
Rupendra ShresthaDepartment of Natural and Applied Sciences, Nexus Institute of Research and Innovation (NIRI), Lalitpur, Nepal. dph.rupendra@gmail.com.ORCID http://orcid.org/0000-0001-6804-6070
Ankush ChauhanCentre for Herbal Pharmacology and Environmental Sustainability, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExosomes are nanosized extracellular vesicles that play critical roles in intercellular communication and have emerged as promising tools for biomarker discovery, disease diagnostics, and therapeutic delivery. However, the widespread application of exosome-based technologies is often limited by the high cost and technical complexity of conventional isolation methods. Therefore, developing simple, scalable, and cost-effective isolation strategies remains a significant challenge in extracellular vesicle research.

methodsAn optimized polyethylene glycol (PEG)-based precipitation method was developed to isolate liver tissue-derived exosomes from BALB/c mice and compared with a commercial MCE Exosome Isolation and Purification Kit. Exosomes were characterized using UV-visible spectroscopy, dynamic light scattering, zeta potential analysis, transmission electron microscopy, agarose gel electrophoresis, flow cytometry, protein estimation, and quantitative real-time PCR. The biological functionality was further evaluated by cellular uptake studies in HepG2 cells and in vivo biodistribution analysis using IVIS imaging.

resultsBoth PEG-Exo and MCE-Exo exhibited characteristic features, including nanoscale particle size, intact spherical morphology, negative surface charge, and positive expression of CD9 and CD63. PEG-Exo had a smaller average particle size and improved homogeneity compared to MCE-Exo. Exosomal DNA integrity was preserved in both groups, with fragments ranging from approximately 100-150 bp. Cellular uptake studies confirmed the efficient internalization of exosomes by HepG2 cells, and IVIS imaging demonstrated successful in vivo biodistribution after systemic administration. Overall, PEG-isolated exosomes exhibited structural, molecular, and functional properties comparable to those of exosomes isolated using a commercial kit.

conclusionThe optimized PEG-based method offers a robust, scalable, and cost-effective alternative for isolating exosomes from liver tissue, with significant potential for future applications in exosome biology, biomarker discovery, regenerative medicine, and therapeutic delivery.

Indexed as

ExosomesLiverPolyethylene GlycolsAnimalsChemical PrecipitationHep G2 CellsHumansMiceMice, Inbred BALB CParticle SizeTissue DistributionPolyethylene GlycolsBiodistributionCellular uptakeExosome isolationExosomesExtracellular vesiclesLiver tissuePolyethylene glycol

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.