Publications

Research outputs, reports, policy briefs and knowledge products from KIU scholars and partners.

2026 School of Pharmacy IAA Journal of Scientific Research

Exosome-Mimetic Nanovesicles in Inter-Organ Communication: Implications for Obesity-Driven Diabetes

Muhindo Edgar

Obesity-driven type 2 diabetes is increasingly understood as a disease of dysregulated inter-organ communication rather than isolated defects in single tissues. Exosomes and related extracellular vesicles (EVs) are key mediators of this crosstalk, transporting lipids, proteins and nucleic acids between adipose tissue, liver, skeletal muscle, pancreas and immune cells. In obesity, the cargo and secretion patterns of endogenous exosomes are profoundly altered, contributing to insulin resistance, metaflammation, and β-cell dysfunction. Exosomemimetic nanovesicles (EMNVs), like synthetic or bioengineered vesicles that replicate key structural and functional features of natural exosomes, have emerged as powerful tools to probe and therapeutically modulate these communication pathways. Produced by top-down cell membrane fragmentation or bottom-up assembly from defined lipids and proteins, EMNVs can be loaded with drugs, RNAs or proteins and tailored for specific tissue tropism, while avoiding some manufacturing and scalability limitations of native exosomes. This review discusses the role of EV-mediated inter-organ communication in obesity-driven diabetes, the rationale for using EMNVs to interrogate and rewire these networks, and key design principles of exosome-mimetic systems. It then examines how EMNVs can be used to modulate adipose–liver–muscle–β-cell crosstalk, summarizes preclinical evidence, and highlights translational challenges, including heterogeneity, safety, and regulatory classification. Finally, it outlines future directions, including precision EMNVs carrying cargo that reprogram pathogenic signaling axes, integration with metabolic drugs, and potential use as “message decoys” to buffer harmful obesity-associated vesicle signals.