Packaging RNA drugs into extracellular vesicles

Understanding the Roles and Regulation of Mitochondrial microRNAs (MitomiRs) in Neurodegenerative Diseases: Current Status and Advances

MicroRNAs (miRNA) are a class of small non-coding RNA, roughly 21 - 22 nucleotides in length, which are master gene regulators. These miRNAs bind to the mRNA's 3' - untranslated region and regulate post-transcriptional gene regulation, thereby influencing various physiological and cellular processes. Another class of miRNAs known as mitochondrial miRNA (MitomiRs) has been found to either originate from the mitochondrial genome or be translocated directly into the mitochondria. Although the role of nuclear DNA encoded miRNA in the progression of various neurological diseases such as Parkinson's disease, Alzheimer's disease, Huntington's disease, etc. is well known, accumulating evidence suggests the possible role of deregulated mitomiRs in the progression of various neurodegenerative diseases with unknown mechanism. We have attempted to outline the current state of mitomiRs role in controlling mitochondrial gene expression and function through this review, paying particular attention to their contribution to neurological processes, their etiology, and their potential therapeutic use.

SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis

Coronary artery disease (CAD) is one of the major cardiovascular diseases and represents the leading causes of global mortality. Developing new diagnostic and therapeutic approaches for CAD treatment are critically needed, especially for an early accurate CAD detection and further timely intervention. In this study, we successfully isolated human plasma small extracellular vesicles (sEVs) from four stages of CAD patients, that is, healthy control, stable plaque, non-ST-elevation myocardial infarction, and ST-elevation myocardial infarction. Surface-enhanced Raman scattering (SERS) measurement in conjunction with five machine learning approaches, including Quadratic Discriminant Analysis, Support Vector Machine (SVM), K-Nearest Neighbor, Artificial Neural network, were then applied for the classification and prediction of the sEV samples. Among these five approaches, the overall accuracy of SVM shows the best predication results on both early CAD detection (86.4%) and overall prediction (92.3%). SVM also possesses the highest sensitivity (97.69%) and specificity (95.7%). Thus, our study demonstrates a promising strategy for noninvasive, safe, and high accurate diagnosis for CAD early detection.

EXOSC8 promotes colorectal cancer tumorigenesis via regulating ribosome biogenesis-related processes

Extensive protein synthesis is necessary for uncontrolled cancer cell proliferation, requiring hyperactive ribosome biogenesis. Our previous Pan-cancer study has identified EXOSC8 as a potential copy number variation (CNV)-driven rRNA metabolism-related oncogene in colorectal cancer (CRC). Herein, we further investigated proliferation-prompting functions and mechanisms of EXOSC8 in CRC by performing in silico analyses and wet-lab experiments. We uncovered that increased EXOSC8 expression and CNV levels are strongly associated with ribosome biogenesis-related factor levels in CRC, including ribosome proteins (RPs), eukaryotic translation initiation factors and RNA polymerase I/III. EXOSC8 silence decreases nucleolar protein and proliferation marker levels, as well as rRNA/DNA and global protein syntheses. Clinically, EXOSC8 is upregulated across human cancers, particularly CNV-driven upregulation in CRC was markedly associated with poor clinical outcomes. Mechanistically, EXOSC8 knockdown increased p53 levels in CRC, and the oncogenic proliferation phenotypes of EXOSC8 depended on p53 in vitro and in vivo. We discovered that EXOSC8 knockdown in CRC cells triggers ribosomal stress, nucleolar RPL5/11 being released into the nucleoplasm and "hijacking" Mdm2 to block its E3 ubiquitin ligase function, thus releasing and activating p53. Furthermore, our therapeutic experiments provided initial evidence that EXOSC8 might serve as a potential therapeutic target in CRC. Our findings revealed, for the first time, that the RNA exosome gene (EXOSC8) promotes CRC tumorigenesis by regulating cancer-related ribosome biogenesis in CRC. This study further extends our previous Pan-cancer study of the rRNA metabolism-related genes. The inhibition of EXOSC8 is a novel therapeutic strategy for the RPs-Mdm2-p53 ribosome biogenesis surveillance pathway in CRC.

Viral Membrane Fusion Proteins and RNA Sorting Mechanisms for the Molecular Delivery by Exosomes

The advancement of precision medicine critically depends on the robustness and specificity of the carriers used for the targeted delivery of effector molecules in the human body. Numerous nanocarriers have been explored in vivo, to ensure the precise delivery of molecular cargos via tissue-specific targeting, including the endocrine part of the pancreas, thyroid, and adrenal glands. However, even after reaching the target organ, the cargo-carrying vehicle needs to enter the cell and then escape lysosomal destruction. Most artificial nanocarriers suffer from intrinsic limitations that prevent them from completing the specific delivery of the cargo. In this respect, extracellular vesicles (EVs) seem to be the natural tool for payload delivery due to their versatility and low toxicity. However, EV-mediated delivery is not selective and is usually short-ranged. By inserting the viral membrane fusion proteins into exosomes, it is possible to increase the efficiency of membrane recognition and also ease the process of membrane fusion. This review describes the molecular details of the viral-assisted interaction between the target cell and EVs. We also discuss the question of the usability of viral fusion proteins in developing extracellular vesicle-based nanocarriers with a higher efficacy of payload delivery. Finally, this review specifically highlights the role of Gag and RNA binding proteins in RNA sorting into EVs.

Extracellular Vesicles as Promising Carriers in Drug Delivery: Considerations from a Cell Biologist's Perspective

The use of extracellular vesicles as cell-free therapy is a promising approach currently investigated in several disease models. The intrinsic capacity of extracellular vesicles to encapsulate macromolecules within their lipid bilayer membrane-bound lumen is a characteristic exploited in drug delivery to transport active pharmaceutical ingredients. Besides their role as biological nanocarriers, extracellular vesicles have a specific tropism towards target cells, which is a key aspect in precision medicine. However, the little knowledge of the mechanisms governing the release of a cargo macromolecule in recipient cells and the Good Manufacturing Practice (GMP) grade scale-up manufacturing of extracellular vesicles are currently slowing their application as drug delivery nanocarriers. In this review, we summarize, from a cell biologist's perspective, the main evidence supporting the role of extracellular vesicles as promising carriers in drug delivery, and we report five key considerations that merit further investigation before translating Extracellular Vesicles (EVs) to clinical applications.