Utility Of Extracellular Vesicles Research Articles

Immunosuppressive microvesicles-mimetic derived from tolerant dendritic cells to target T-lymphocytes for inflammation diseases therapy

The utilization of extracellular vesicles (EV) in immunotherapy, aiming at suppressing peripheral immune cells responsible for inflammation, has demonstrated significant efficacy in treating various inflammatory diseases. However, the clinical application of EV has faced challenges due to their inadequate targeting ability. In addition, most of the circulating EV would be cleared by the liver, resulting in a short biological half-life after systemic administration. Inspired by the natural microvesicles (MV, as a subset of large size EV) are originated and shed from the plasma membrane, we developed the immunosuppressive MV-mimetic (MVM) from endotoxin tolerant dendritic cells (DC) by a straightforward and effective extrusion approach, in which DC surface proteins were inherited for providing the homing ability to the spleen, while αCD3 antibodies were conjugated to the MVM membranes for specific targeting of T cells. The engineered MVM carried a large number of bioactive cargos from the parental cells, which exhibited a remarkable ability to promote the induction of regulatory T cells (Treg) and polarization of anti-inflammatory M2 macrophages. Mechanistically, the elevated Treg level by MVM was mediated due to the upregulation of miR-155-3p. Furthermore, it was observed that systemic and local immunosuppression was induced by MVM in models of sepsis and rheumatoid arthritis through the improvement of Treg and M2 macrophages. These findings reveal a promising cell-free strategy for managing inflammatory responses to infections or tissue injury, thereby maintaining immune homeostasis.

Abstract 6515: Pancreatic ductal adenocarcinoma (PDAC) early detection

Abstract Introduction Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer and is one of the deadliest cancer in the U.S., with a 5-year survival rate of just 11%. It is expected that ~62,000 new cases will be diagnosed in the US in 2023 and >70% of those will be at the regional or distant state, when curative resection is no longer an option. It is imperative that tools enabling early disease detection (stages I and II) are developed to improve patient survival outcomes. Here, we report the results of a study on the utility of extracellular vesicles (EVs) for early PDAC detection. Methods Our case-control training set was comprised of 75 pathologically confirmed PDAC cases (Stage I = 31, Stage II = 44) and 640 controls (including 11 subjects with pancreatitis) for EV biomarker and algorithm selection via machine learning. EVs from plasma were isolated using a proprietary technology, then EV-bound proteins of interest were analyzed via an immunoassay. A second independently collected cohort of 20 confirmed PDAC cases (Stage I = 10, Stage II = 10) and 27 controls (including 9 patients newly diagnosed with diabetes) was used for validation. Results The machine learning analysis using EV-isolated proteins generated a signature that utilized 8 different biomarkers, with an AUC of 0.989 (95% CI: 0.980 - 0.998) in the training set and an AUC of 0.987 (CI: 0.964 - 1.000) in the validation set. For the validation set, the sensitivity was 95% (CI: 76.4% - 99.1%) and the specificity was 92.6% (CI: 76.6% - 97.9%), with 10 out of 10 stage I cases and 9 out of 10 stage II cases correctly classified. Conclusions The ability to alter the future outcomes of PDAC patients will be predicated on development of a new generation of early-detection biomarkers and technologies. The use of EV protein signatures, a new class of cell-free biomarker, permits detection at high sensitivity and specificity, as demonstrated for the independently collected validation cohort. Studies aimed to assess this test for high-risk patients (family history of PDAC, known germline mutations, precursor lesions, hereditary pancreatitis, new onset diabetes will continue towards the establishment of real-world evidence. Citation Format: Juan P. Hinestrosa, Harmeet Dhani, Gregor Schroeder, Jean M. Lewis, Heath I. Balcer, Razelle Kurzrock, Dove Keith, Rosalie Sears, Paul Billings. Pancreatic ductal adenocarcinoma (PDAC) early detection. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6515.

Production and Utility of Extracellular Vesicles with 3D Culture Methods

In recent years, extracellular vesicles (EVs) have emerged as promising biomarkers, cell-free therapeutic agents, and drug delivery carriers. Despite their great clinical potential, poor yield and unscalable production of EVs remain significant challenges. When using 3D culture methods, such as scaffolds and bioreactors, large numbers of cells can be expanded and the cell environment can be manipulated to control the cell phenotype. This has been employed to successfully increase the production of EVs as well as to enhance their therapeutic effects. The physiological relevance of 3D cultures, such as spheroids, has also provided a strategy for understanding the role of EVs in the pathogenesis of several diseases and to evaluate their role as tools to deliver drugs. Additionally, 3D culture methods can encapsulate EVs to achieve more sustained therapeutic effects as well as prevent premature clearance of EVs to enable more localised delivery and concentrated exosome dosage. This review highlights the opportunities and drawbacks of different 3D culture methods and their use in EV research.

Extracellular Vesicles as Theranostic Tools in Kidney Disease.

Extracellular vesicles are important vectors for cell-cell communication and show potential value for diagnosis and treatment of kidney diseases. The pathologic diagnosis of kidney diseases relies on kidney biopsy, whereas collection of extracellular vesicles from urine or circulating blood may constitute a less invasive diagnostic tool. In particular, urinary extracellular vesicles released mainly from resident kidney cells might provide an alternative tool for detection of kidney injury. Because extracellular vesicles mirror many features of their parent cells, cargoes of several populations of urinary extracellular vesicles are promising biomarkers for disease processes, like diabetic kidney disease, kidney transplant, and lupus nephritis. Contrarily, extracellular vesicles derived from reparative cells, such as mesenchymal stem cells, tubular epithelial progenitor cells, and human umbilical cord blood represent promising regenerative tools for treatment of kidney diseases. Furthermore, induced pluripotent stem cells-derived and engineered extracellular vesicles are being developed for specific applications for the kidney. Nevertheless, some assumptions regarding the specificity and immunogenicity of extracellular vesicles remain to be established. This review focuses on the utility of extracellular vesicles as therapeutic and diagnostic (theranostic) tools in kidney diseases and future directions for studies.

Utility Of Extracellular Vesicles As A Biological Indicator Of Physiological Resilience During Military Operational Stress

Utility Of Extracellular Vesicles As A Biological Indicator Of Physiological Resilience During Military Operational Stress

Role of plasma extracellular vesicles in prediction of cardiovascular risk and alterations in response to statin therapy in hypertensive patients.

Background:Rapid and accurate new biomarkers to predict risk of cardiovascular disease (CVD) are essential. The utility of extracellular vesicles in predicting the CVD risk is postulated, yet it remains unknown whether their expression is altered in response to statin therapy.Methods:We performed in-vitro studies with human umbilical vein endothelial cells (HUVEC) and vascular smooth muscle cells (hVSMC), and conducted a nested case–control study (nCCS) in hypertensive patients (n = 40) randomized to either atorvastatin or placebo in the ASCOT-LLA. Cases had a major adverse cardiovascular event or death (MACE) during 3.5 years of follow-up (median) from the time of extracellular vesicle characterization while controls, matched for age and duration of treatment, remained event-free. Conditional logistic regression models determined the risk of MACE. Additionally, the relationship of extracellular vesicle levels with statin therapy was assessed.Results:Added to HUVEC, extracellular vesicles increased neutrophil recruitment, and to hVSMC, aggravated calcification and proliferation. In the nCCS, compared with controls, cases (i.e. with MACE) had preceding higher levels of CD14+ and CD14+/CD41+ extracellular vesicles (P = 0.009 and P = 0.012, respectively) and a significant reduction in the median size of the vesicles (P = 0.037). On matched analysis, higher CD14+ extracellular vesicles were associated with a 3.7-fold increased risk of MACE (P = 0.032). Patients treated with atorvastatin (vs. placebo) had both reduced size of extracellular vesicles and the proportion of CD146+ extracellular vesicles (P = 0.034 and P = 0.020, respectively).Conclusion and relevance:These pilot analyses suggest a mechanistic role for extracellular vesicles in the development of CVD, with significant and differential changes in extracellular vesicles amongst those at risk of MACE, and those on atorvastatin therapy.

Update on the Role and Utility of Extracellular Vesicles in Hematological Malignancies.

Extracellular vesicles (EVs) are membrane-surrounded cellular particles released by virtually any cell type, containing numerous bioactive molecules, including lipids, proteins, and nucleic acids. EVs act as a very efficient intercellular communication system by releasing their content into target cells, thus affecting their fate and influencing several biological processes. EVs are released both in physiological and pathological conditions, including several types of cancers. In hematological malignancies (HM), EVs have emerged as new critical players, contributing to tumor-to-stroma, stroma-to-tumor, and tumor-to-tumor cell communication. Therefore, EVs have been shown to play a crucial role in the pathogenesis and clinical course of several HM, contributing to tumor development, progression, and drug resistance. Furthermore, tumor EVs can reprogram the bone marrow (BM) microenvironment and turn it into a sanctuary, in which cancer cells suppress both the normal hematopoiesis and the immunological antitumor activity, conferring a therapy-resistant phenotype. Due to their physicochemical characteristics and pro-tumor properties, EVs have been suggested as new diagnostic biomarkers, therapeutic targets, and pharmacological nanocarriers. This review aims to provide an update on the pathogenetic contribution and the putative therapeutic utility of EVs in hematological diseases.

Utility of extracellular vesicles as a potential biological indicator of physiological resilience during military operational stress.

Extracellular vesicles (EVs) transport biological content between cells to mediate physiological processes. The association between EVs and resilience, the ability to cope with stress, is unknown. Using unbiased machine learning approaches, we aimed to identify a biological profile of resilience. Twenty servicemen (27.8 ± 5.9 years) completed the Connor Davidson Resilience (CD‐RISC) questionnaire and were exposed to daily physical and cognitive exertion with 48‐hr sleep and caloric restriction. Blood samples from baseline and the second day of stress were analyzed for neuroendocrine biomarkers impacted by military stress. EVs were isolated from plasma and stained with antibodies associated with exosomes (CD63), microvesicles (VAMP3), and apoptotic bodies (THSD1). Individuals were separated into high (n = 10, CD‐RISC > 90) and low (n = 10, CD‐RISC < 79) resilience. EV features were stratified by size, then down‐selected using regression trees and compared between groups. Diagnostic accuracy was assessed using receiver operating characteristic curves. Compared to low resilience, high resilience demonstrated a greater increase in variability of THSD1 local bright spot intensities among large‐sized EVs in response to stress (p = 0.002, Hedges’ g = 1.59). Among medium‐sized EVs, high resilience exhibited a greater decrease in side scatter intensity (p = 0.014, Hedges’ g = 1.17). Both features demonstrated high to moderate diagnostic accuracy for high resilience (AUC = 0.90 and 0.79). In contrast, neuroendocrine biomarker concentrations were similar between groups. The increase in variability among THSD1 + EVs in high, but not low, resilient individuals following stress may suggest high resilience is accompanied by stress‐triggered apoptotic adaptations to the environment that are not detected in neuroendocrine biomarkers.

Utility of extracellular vesicles and their MicroRNA cargo as biomarkers for Alzheimer's disease

AbstractBackgroundAlzheimer’s disease (AD) is the most common cause of dementia. Developing effective therapies is dependent on the availability of biomarkers that accurately diagnosis AD and track disease progression. MiRNAs, which can be sorted into extracellular vesicles (EVs), reflect the disease state of many neurological disorders and have the potential to serve as biomarkers.MethodCerebrospinal fluid (CSF) from AD, Parkinson’s disease (PD), and control (n=10/group) participants was analyzed by vesicle flow cytometry for size, concentration, and subtypes of EVs. In matching CSF and isolated CSF‐EVs we measured the expression of 34 miRNAs (previously validated candidate AD biomarkers) and assessed magnitude of fold change and classification potential for AD.ResultThe EVs in CSF from AD and PD were significantly larger than control CSF and there were fewer microvesicles. CSF‐EVs had 25 detectable miRNAs out of 34 assayed; while 30 were detectable in total CSF. For the detectable miRNAs in CSF‐EVs, 52% had at least a 1.5 fold change in expression in AD, relative to control. In total CSF, 30% of the assayed miRNAs had a 1.5 fold change in AD versus control. Classification performance for AD from controls was improved for CSF‐EV miRNAs, compared to total CSF. Four of the CSF‐EV miRNAs also had an AUC &gt; 0.7 for classifying AD from PD.ConclusionEV biogenesis in neurodegenerative diseases is disrupted compared to neurologically normal controls, which leads to an altered EV profile in CSF. Further, the miRNA expression profile of CSF‐EVs improves the performance of candidate AD biomarkers.

In Vivo Differentiation of Therapeutic Insulin-Producing Cells from Bone Marrow Cells via Extracellular Vesicle-Mimetic Nanovesicles.

The current diabetes mellitus pandemic constitutes an important global health problem. Reductions in the mass and function of β-cells contribute to most of the pathophysiology underlying diabetes. Thus, physiological control of blood glucose levels can be adequately restored by replacing functioning β-cell mass. Sources of functional islets for transplantation are limited, resulting in great interest in the development of alternate sources, and recent progress regarding cell fate change via utilization of extracellular vesicles, also known as exosomes and microvesicles, is notable. Thus, this study investigated the therapeutic capacity of extracellular vesicle-mimetic nanovesicles (NVs) derived from a murine pancreatic β-cell line. To differentiate insulin-producing cells effectively, a three-dimensional in vivo microenvironment was constructed in which extracellular vesicle-mimetic NVs were applied to subcutaneous Matrigel platforms containing bone marrow (BM) cells in diabetic immunocompromised mice. Long-term control of glucose levels was achieved over 60 days, and differentiation of donor BM cells into insulin-producing cells in the subcutaneous Matrigel platforms, which were composed of islet-like cell clusters with extensive capillary networks, was confirmed along with the expression of key pancreatic β-cell markers. The resectioning of the subcutaneous Matrigel platforms caused a rebound in blood glucose levels and confirmed the source of functioning β-cells. Thus, efficient differentiation of therapeutic insulin-producing cells was attained in vivo through the use of extracellular vesicle-mimetic NVs, which maintained physiological glucose levels.