Extracellular vesicle measurements with nanoparticle tracking analysis - An accuracy and repeatability comparison between NanoSight NS300 and ZetaView

Extracellular Vesicle Marker Changes Associated With Disease Activity in Relapsing-Remitting Multiple Sclerosis

BACKGROUND AND OBJECTIVES

Multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) are autoimmune disorders of the CNS causing severe neurologic impairment. Evidence suggests that extracellular vesicles (EVs) may play a disease-specific role in the orchestration of the immune cell response of MS, NMOSD, and MOGAD. In addition, EVs are considered as a potential source of biomarkers that may allow us to establish molecular signatures for these diseases and perhaps as well to follow treatment effects and disease progression. The aim of this study was to analyze the composition of EVs in patients with relapsing-remitting MS (RRMS) (n = 52), NMOSD (n = 19), and MOGAD (n = 10) and healthy controls ([HCs], n = 15).

METHODS

The concentrations of neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) were determined in plasma using single-molecule array (SIMOA). The size and concentration of tetraspanin-presenting EVs were evaluated in plasma samples with a single-particle interferometric resonance imaging sensor (SP-IRIS). Tetraspanin-independent analyses were performed by nanoparticle-tracking analysis (NTA) after EV isolation by size exclusion (SmartSEC) and cryo-electron microscopy observations. EV epitopes were analyzed by extended multiplex analysis using flow cytometry.

RESULTS

The plasma concentration of NfL and GFAP was significantly higher in patients with RRMS than in HCs. For patients with NMOSD, only GFAP increased. The density of EVs assessed by NTA was lower in plasma of patients with RRMS than in HC plasma. In addition, the 3 disease groups presented increased mean EV sizes in comparison with HCs. Tetraspanin-based EV analyses by SP-IRIS allowed us to observe a modest difference in the level of CD81 in RRMS EVs. In patients with RRMS, but not in those with NMOSD and MOGAD, multiplex/flow cytometry analyses revealed changes in the EV levels of CD29, CD31, and CD69 associated with the time elapsed since the last relapse. The negative correlations established between the vesicular levels of CD31, CD40, CD44, CD49c, CD69, and NfL or GFAP z-scores suggest a negative relationship specifically in RRMS.

DISCUSSION

We speculate that the higher release of EVs containing CD29, CD31, CD40, CD44, CD49c, and CD69 in plasma, at low levels of circulating NfL/GFAP, may be associated with reduced immune cell activity in RRMS. These EV markers may characterize patients with RRMS in disease stabilization.

Hierarchical protein nano-crystalline hydrogel with extracellular vesicles for ectopic lymphoid structure formation

Among cancer therapies, immune checkpoint blockade (ICB) has emerged as a prominent approach, substantially enhancing anti-tumor immune responses. However, the efficacy of ICB is often limited in the absence of a pre-existing immune response within the tumor microenvironment. Here, we introduce a novel hierarchical protein hydrogel platform designed to facilitate the formation of artificial tertiary lymphoid structures (aTLS), thereby improving ICB efficacy. Through the integration of self-assembling ferritin protein nanocages, rec1-resilin protein, and CP05 peptide, our hierarchical hydrogels provide a structurally supportive and functionally adaptive scaffold capable of on-demand self-repair in response to mild thermal treatments. The effective encapsulation of extracellular vesicles (EVs) via the CP05 peptide ensures the formation of aTLS with germinal center-like structures within the hierarchical hydrogel. We demonstrate that, combined with ICB therapy, EV-loaded hierarchical hydrogels also induce the TLS within the tumor, markedly promoting immune responses against ICB-resistant tumor. This bioactive hydrogel platform offers a versatile tool for enhancing a broad range of immunotherapies, with potential applications extending beyond TLS to other frameworks that support complex tissue architectures.

Extracellular vesicles as biomarkers for metabolic dysfunction-associated steatotic liver disease staging using explainable artificial intelligence

BACKGROUND

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease globally. Current diagnostic methods, such as liver biopsies, are invasive and have limitations, highlighting the need for non-invasive alternatives.

AIM

To investigate extracellular vesicles (EVs) as potential biomarkers for diagnosing and staging steatosis in patients with MASLD using machine learning (ML) and explainable artificial intelligence (XAI).

METHODS

In this single-center observational study, 798 patients with metabolic dysfunction were enrolled. Of these, 194 met the eligibility criteria, and 76 successfully completed all study procedures. Transient elastography was used for steatosis and fibrosis staging, and circulating plasma EV characteristics were analyzed through nanoparticle tracking. Twenty ML models were developed: Six to differentiate non-steatosis (S0) from steatosis (S1-S3); and fourteen to identify severe steatosis (S3). Models utilized EV features (size and concentration), clinical (advanced fibrosis and presence of type 2 diabetes mellitus), and anthropomorphic (sex, age, height, weight, body mass index) data. Their performance was assessed using receiver operating characteristic (ROC)-area under the curve (AUC), specificity, and sensitivity, while correlation and XAI analysis were also conducted.

RESULTS

The CatBoost C1a model achieved an ROC-AUC of 0.71/0.86 (train/test) on average across ten random five-fold cross-validations, using EV features alone to distinguish S0 from S1-S3. The CatBoost C2h-21 model achieved an ROC-AUC of 0.81/1.00 (train/test) on average across ten random three-fold cross-validations, using engineered features including EVs, clinical features like diabetes and advanced fibrosis, and anthropomorphic data like body mass index and weight for identifying severe steatosis (S3). Key predictors included EV mean size and concentration. Correlation, XAI, and SHapley Additive exPlanations analysis revealed non-linear feature relationships with steatosis stages.

CONCLUSION

The EV-based ML models demonstrated that the mean size and concentration of circulating plasma EVs constituted key predictors for distinguishing the absence of significant steatosis (S0) in patients with metabolic dysfunction, while the combination of EV, clinical, and anthropomorphic features improved the diagnostic accuracy for the identification of severe steatosis. The algorithmic approach using ML and XAI captured non-linear patterns between disease features and provided interpretable MASLD staging insights. However, further large multicenter studies, comparisons, and validation with histopathology and advanced imaging methods are needed.

Construction of [89Zr]Zr-Labeled Human Umbilical Cord Mesenchymal Stem Cell-Derived Extracellular Vesicles for Noninvasive Detection of Tumors

Extracellular vesicles (EVs) act as carriers that transfer molecules between donor and recipient cells, thereby altering the phenotype and function of the latter. EVs derived from mesenchymal stem cells (MSCs) inherit the homing ability of their parent cells to tumor sites. We speculate that MSC-derived EVs labeled with the isotope zirconium-89 ([89Zr]Zr) will accumulate within tumors and have the potential for tumor location via positron emission tomography (PET) imaging. Here, as a proof of concept, we used [89Zr]Zr-labeled human umbilical cord MSC (hucMSC)-derived EVs to characterize the homing of EVs to tumor regions via PET imaging. The uptake of [89Zr]Zr-DFO-hucMSC-EVs by 4T1, H292, and FaDu cells increased in a time-dependent manner. [89Zr]Zr-DFO-hucMSC-EVs were rapidly cleared from the blood circulation, showing a 2-phase exponential decay with a biodistribution half-life of 0.46 h and an elimination-phase half-life of 11.87 h. At 24 h postinjection, [89Zr]Zr-DFO-hucMSC-EVs were mainly distributed in the liver (10.39 ± 0.52%ID/g) and, to a lesser extent, in the spleen (9.87 ± 0.87%ID/g). PET imaging in tumor-bearing mouse models revealed persistently high tumor accumulation. The projected effective dose for an adult human female was low and was 0.084 mSv/MBq. There was no obvious normal tissue toxicity following the administration of excessive radioactivity. In summary, these studies demonstrate the potential feasibility of using the [89Zr]Zr-DFO-hucMSC-EV tracer for noninvasive visualization of tumor lesions.

Toward Clarity in Single Extracellular Vesicle Research: Defining the Field and Correcting Missteps

Single extracellular vesicle (EV) research holds the potential to revolutionize our understanding of cellular communication and enable breakthroughs in diagnostics and therapeutics. However, the lack of a clear, consensus-driven definition of single EV research has led to methodological inconsistencies, overgeneralized interpretations, and, in some cases, misleading claims. In this perspective, we propose a framework for defining single EV research, critique current challenges and misconceptions in this field, and discuss its implications for biomedical applications. We argue that precise experimental design, rigorous validation, and interdisciplinary collaboration approaches are needed to establish single EV research as a cornerstone of precision medicine.

Defining Biological Variability, Analytical Precision and Quantitative Biophysiochemical Characterization of Human Urinary Extracellular Vesicles

The magnitude of combined analytical errors of urinary extracellular vesicle (uEV) preparation and measurement techniques (CVA) has not been thoroughly investigated to determine whether it exceeds biological variations. We utilized technical replicates of human urine to assess the repeatability of uEV concentration and size measurements by nanoparticle tracking analysis (NTA) following differential velocity centrifugation (DC), silicon carbide, or polyethylene glycol uEV isolation methods. The DC method attained the highest precision. Consequently, DC-derived uEV size, most abundant protein levels, and optical redox ratio (ORR) were further assessed by dynamic light scattering (DLS), immunoblotting or multi-photon (SLAM) microscopy. Procedural errors primarily affected uEV counting and uEV-associated protein quantification, while instrumental errors contributed most to the total variability of NTA- and DLS-mediated uEV sizing processes. The intra-individual variability (CVI) of uEV counts assessed by NTA was smaller than inter-individual variability (CVG), resulting in an estimated index of individuality IOI < 0.6, suggesting that personalized reference interval (RI) is more suitable for interpretation of changes in subject's test results. Population-based RI was more appropriate for ORR (IOI > 1.4). The analytical performance of DC-NTA and DC-SLAM techniques met optimal CVA < 0.5 × CVI criteria, indicating their suitability for further testing in clinical laboratory settings.

Unlocking the secrets of single extracellular vesicles by cutting-edge technologies

Extracellular vesicles (EVs), isolated through techniques such as liquid biopsy, have emerged as crucial biomarkers in various diseases, including cancer. EVs were dismissed initially as cellular debris, EVs are now recognized for their role in intercellular communication, carrying proteins, RNAs, and other molecules between cells. Their stability in biofluids and ability to mirror their parent cells' molecular composition make them attractive candidates for non-invasive diagnostics. EVs, including microvesicles and exosomes, contribute to immune modulation and cancer progression, presenting both therapeutic challenges and opportunities. However, despite advances in analytical techniques like high-resolution microscopy and nanoparticle tracking analysis (NTA), standardization in EV isolation and characterization remains a hurdle. Cutting-edge technologies, such as atomic force microscopy and Raman tweezers microspectroscopy, have enhanced our understanding of single EVs, yet issues like low throughput and high technical complexity limit their widespread application. Other technologies like transmission electron microscopy, cryogenic transmission electron microscopy, super-resolution microscopy, direct stochastic optical reconstruction microscopy, single-molecule localization microscopy, tunable resistive pulse sensing, single-particle interferometric reflectance imaging sensor, flow cytometry, droplet digital analysis, total internal reflection fluorescence also contribute to EV analysis. Future research must focus on improving detection methods, developing novel analytical platforms, and integrating artificial intelligence to enhance the specificity of EV characterization. The future of EV research holds promise for breakthroughs in precision medicine, with a collaborative effort needed to translate these advancements into clinical practice.

Trichinella spiralis extracellular vesicles induce anti-inflammatory and regulatory immune responses in vitro

The helminth Trichinella spiralis, through its excretory-secretory (ES L1) products, induces immune regulatory mechanisms that modulate the host's immune response not only to itself, but also to bystander antigens, foreign or self in origin, which can result in the alleviation of inflammatory diseases. Under the influence of ES L1, dendritic cells (DCs) acquire a tolerogenic phenotype and the capacity to induce Th2 and regulatory responses. Since ES L1 products represent a complex mixture of proteins and extracellular vesicles (TsEVs) the aim of this study was to investigate the impact of TsEVs, isolated from ES L1 products, on phenotypic and functional characteristics of DCs and to elucidate whether TsEVs could reproduce the immunomodulatory effects of the complete ES L1 product. Monocyte-derived DCs treated with TsEVs acquired semi-matured phenotypes, characterized by low expression of human leukocyte antigen - DR isotype (HLA-DR), cluster of differentiation (CD) 86 (CD86), and CD40, moderate expression of CD83 and C-C chemokine receptor type 7 (CCR7), and increased expression of tolerogenic markers indoleamine 2,3-dioxygenase 1 (IDO-1) and immunoglobulin-like transcript 3 (ILT3), together with the unchanged production of IL-12 and IL-23, and elevated production of IL-10 and transforming growth factor (TGF)-β, compared with controls. Gene expression analysis of TsEV-treated DCs revealed elevated levels of mTOR, Ahr, NF-κB2, RelB, SOCS1 and SOCS3, which participate in signaling pathways involved in DC maturation and the subsequent regulation of release of both anti-inflammatory and pro-inflammatory cytokines. TsEVs promoted the capacity of DCs to drive polarization of Th2 and anti-inflammatory responses, and impaired their capacity to induce Th1/Th17 polarization. Moreover, TsEV-treated DCs possessed a high capacity to induce conventional FoxP3 + regulatory T cells, as well as unconventional T regulatory (Tr1) cells. Tolerogenic properties of TsEV-treated DCs were retained even after challenge with a pro-inflammatory stimulus. These findings highlight the potential of TsEVs to induce immune tolerance, suggesting their potential use as therapeutics for the treatment of inflammatory disorders.

Limitations and challenges in the characterization of extracellular vesicles from stem cells and serum

Exosomes are a subpopulation of nanosized extracellular vesicles (EVs), formed by a lipid bilayer and naturally secreted by cells. They transport RNA, microRNAs, bioactive proteins, and lipids and play an important role in intercellular communication. Exosomes are a promising alternative cell-free therapy in regenerative medicine, immunotherapy, and drug delivery. The implementation of new exosomes treatments requires knowledge of its concentration, purity, and full characterization. However, comparing different studies is highly challenging due to the lack of validated methodologies for isolation and determination, as well as a lack of well-characterized exosomes reference standards. In this work, human uterine cervical mesenchymal stem cell (hUCESC) EVs have been isolated by ultracentrifugation and characterized, discussing the current limitations of characterization methods. First, total protein assays are heavily influenced by free-protein and lipid contaminations which confirm the need of employing several methods for vesicular protein determination. This purity variation seems heavily influenced by the vesicles origin as more complex mediums originate more matrix interferences. Size exclusion high performance liquid chromatography has been demonstrated as a new methodology for purity assessment of hUCESC-EVs and commercial EVs (adipose stem cells and human serum). The results found low purity in the commercial exosomes highlighting that protein and lipid purity must be included in the commercial EVs. Finally, the combination of this chromatography method with total protein assays proved that particle concentration could be estimated using vesicular protein concentration.

Exercise-induced extracellular vesicles mediate apoptosis in human colon cancer cells in an exercise intensity-dependent manner

Regular exercise reduces the incidence and improves the prognosis of many cancer types, but the underlying mechanisms remain elusive. Evidence suggests that exercise exerts its therapeutic effects through extracellular vesicles (EVs), which are essential for cellular communication. Here, we hypothesized that exercise-induced EVs from serum of healthy individuals would exert anti-tumorigenic effects on human colon cancer HT-29 cells, in an exercise intensity-dependent manner. Ten healthy young active males participated in a randomized crossover trial, completing two workload-matched acute exercise bouts, moderate-intensity continuous exercise (MICE) and high-intensity interval exercise (HIIE), on a cycle ergometer. A control session of rest (PRE) was included. EVs were isolated from serum samples collected during PRE and immediately after each exercise session. EVs were co-incubated with HT-29 colon cancer cells, and the effects on cell viability, migration, and apoptosis were measured. EV treatment reduced cell viability in all groups (PRE, MICE, and HIIE) by 35%, 43% and 47%, respectively, vs. PBS. HIIE-EVs showed a significantly greater reduction in cell viability vs. PRE; therefore, only these groups were used for further analysis. PRE EVs reduced migration by 27%, and HIIE-EVs by 39%. HIIE-EVs increased expression of pro-apoptotic markers: Bax/Bcl-2 ratio by 56% and Caspase 3 by 30% vs. PBS, with no change observed in the PRE group. Further, 16% of cells in PRE and 28% of cells in HIIE were TUNEL-positive, indicating DNA fragmentation. To our knowledge, this is the first human study that illustrates the therapeutic potential of exercise-induced EVs in cancer treatment.

Proteomic Insights into Human Limbal Epithelial Progenitor-Derived Small Extracellular Vesicles

Limbal epithelial stem/progenitor cells (LEPC), supported by limbal mesenchymal stromal cells (LMSC) and limbal melanocytes (LM) within a specialized niche, are responsible for maintaining the corneal epithelium. Small extracellular vesicles (sEV) emerged as critical mediators of intercellular communication in various stem cell niches, yet their role in maintaining human limbal niche homeostasis remains poorly understood. In this study, tangential flow filtration and size exclusion chromatography were used to isolate sEV from LEPC-, LMSC- and LM-conditioned media. The isolated sEV from LEPC exhibited properties characteristic for sEV as confirmed by nanoparticle tracking analysis for size and concentration, by electron microscopy for morphology, and by western blot analysis of canonical EV markers including the cell-specific protein (cytokeratin 17/19). Quantitative and comparative proteomic profiling revealed distinct molecular signatures of LEPC-derived sEV, enriched in factors associated with keratinocyte development, extracellular matrix organization, and niche regulation. These findings suggest that LEPC-derived sEV may serve as important signaling mediators within the limbal niche microenvironment, though additional studies are needed to determine their specific functional roles in maintaining niche homeostasis.

Whispers in the Brain: Extracellular Vesicles in Neuropathology and the Diagnostic Alchemy of Neurological Diseases

Extracellular vesicles (EVs) have emerged as pivotal mediators in neurological diseases, showcasing multifaceted potential roles ranging from pathogenesis to diagnosis. These nano-sized membranous structures, released by various cell types including neurons, astrocytes, and microglia, encapsulate a diverse cargo of proteins, lipids, RNA species, and even DNA fragments. In neuropathology, EVs contribute significantly to intercellular communication within the central nervous system (CNS), influencing physiological or pathological cascades. Through the transfer of bioactive molecules, EVs modulate neuroinflammation, neuronal survival, synaptic plasticity, and the propagation of protein aggregates characteristic of neurodegenerative disorders. Moreover, their presence in biofluids such as cerebrospinal fluid (CSF), blood, and urine reflects the pathophysiological state of the CNS, offering a window into the diagnosis, monitoring and treatment of neurological diseases. Recent advancements in EV isolation techniques, coupled with high-throughput omics technologies, have facilitated the profiling of EV cargo, enabling the identification of disease-specific biomarkers with high sensitivity and specificity. This review explores the intricate roles of EVs in neuropathology, highlighting their involvement in Alzheimer's disease, Parkinson's disease, multiple sclerosis, and other neurological disorders. Furthermore, it delves into the diagnostic potential of EVs, discussing current challenges and prospects in harnessing EV-derived biomarkers for precision medicine in neurology. Ultimately, understanding the biology of EVs in neurological contexts promises transformative insights into disease mechanisms and therapeutic strategies, paving the way for innovative diagnostic tools and targeted interventions in clinical practice.

Chlorogenic acid inhibits virulence and resistance gene transfer in outer membrane vesicles of carbapenem-resistant Klebsiella pneumoniae

Introduction

Carbapenem-resistant Klebsiella pneumoniae (CRKp) infection poses a significant global public health challenge, with the misuse of antibiotics further contributing to the development of resistance and triggering harmful inflammatory responses. Outer membrane vesicles (OMVs) released by CRKp under sub-lethal concentration of MEM pressure (KOMV-MEM) exhibit enhanced virulence and greater efficiency in transferring resistance genes.

Methods

We investigated the inhibitory effects of chlorogenic acid (CA) on KOMV-MEM characteristics and its protective role in KOMV-MEM infected mice. Based on LC-MS proteomic analysis of vesicles, we screened for potential targets of KOMV-MEM in promoting macrophage (MØ) pyroptosis pathways and inducing resistance gene transfer. Subsequently, computational predictions and experimental validation were performed to determine how CA regulates these mechanisms.

Results

This study confirmed that, under MEM pressure, the exacerbated infection levels in CRKp-inoculated mice are attributable to the high virulence of KOMV-MEM. Computational and experimental results demonstrated that CA inhibits pyroptosis by reducing MØ capture of KOMV-MEM through blocking the interaction between GroEL and LOX-1. Furthermore, CA prevents the spread of resistance genes by disrupting the conjugation and transfer processes between KOMV-MEM and recipient bacteria. Finally, in vitro and in vivo assays showed that CA inhibits KOMV-MEM resistance enzymes, thereby preventing the hydrolysis of MEM in the environment and depriving susceptible bacteria of protection.

Discussion

These findings provide the first confirmation that CA can inhibit both the virulence and the transmission of drug resistance in KOMV-MEM. This underscores the potential of CA treatment as a promising antimicrobial strategy against CRKp infection.

Therapeutic Potential of Extracellular Vesicles in Oral Inflammation

The therapeutic potential of extracellular vesicles (EVs) in reducing oral inflammation is thoroughly examined in this review, with an emphasis on gingivitis, periodontitis, and oral mucositis. It explains the complex relationship between microbial dysbiosis and host immune responses in the aetiology of oral inflammation. Pathophysiological mechanisms of periodontitis are examined, emphasising the roles played by periodontal pathogens and inflammatory mediators in the disease's chronic course and systemic effects. Preclinical research is providing new evidence that EVs originating from various cellular sources control immune cell dynamics towards a pro-healing phenotype, promote tissue regeneration, and have immunomodulatory qualities. EV-based therapies appear to be a promising new therapeutic technique with potential benefits over traditional methods for the treatment of oral inflammatory illnesses by specifically altering inflammatory signalling pathways. This review highlights the potential of EVs to improve patient outcomes in oral health and emphasises the need for additional clinical research to clarify the therapeutic efficacy and underlying mechanisms of EVs in periodontal therapy.

Silver Nanoparticle-Based Finishing for Leather Antimicrobial and UV Protection

This study focuses on preparing and characterizing functionalized silver nanoparticle-based (Ag-F NPs) finishing agents for leather treatment. Ag-F NPs were synthesized and functionalized through a ligand exchange process with citric acid, enhancing their dispersion stability in aqueous media. The nanoparticles were incorporated into polyurethane- and nitroemulsion-based finishing formulations and applied to ovine and bovine leather via a spray coating process. Morphological (SEM, TEM), structural (XRD), thermal (TGA), and spectroscopic (FT-IR) analyses confirmed successful functionalization and uniform dispersion within the finishing layer. Leather samples treated with Ag-F NPs exhibited a significant improvement in antibacterial properties, with microbial growth reduction of up to 90% after 72 h. Additionally, accelerated aging tests demonstrated enhanced UV resistance, with a 30% lower color change (∆E) compared to control samples. The Ag-F NPs-based finishing layers also exhibited superior abrasion and micro-scratch resistance, maintaining a stable coefficient of friction over time. These findings demonstrate the potential of Ag-F NPs as multifunctional leather-finishing agents, making them highly suitable for applications in the automotive, footwear, and leather goods industries.

The quantity of ligand-receptor interactions between nanoparticles and target cells

Achieving high target cell avidity in combination with cell selectivity are fundamental, but largely unachieved goals in the development of biomedical nanoparticle systems, which are intricately linked to the quantity of targeting functionalities on their surface. Viruses, regarded as almost ideal role models for nanoparticle design, are evolutionary optimized, so that they cope with this challenge bearing an extremely low number of spikes, and thus binding domains, on their surface. In comparison, nanoparticles are usually equipped with more than an order of magnitude more ligands. It is therefore obvious that one key factor for increasing nanoparticle efficiency in terms of avidity and selectivity lies in optimizing their ligand number. A first step along this way is to know how many ligands per nanoparticle are involved in specific binding with target cell receptors. This question is addressed experimentally for a block copolymer nanoparticle model system. The data confirm that only a fraction of the nanoparticle ligands is involved in the binding processes: with a total ligand valency of 29 ligands/100 nm2 surface area a maximum 5.3 ligands/100 nm2 are involved in specific receptor binding. This corresponds to an average number of 251 binding ligands per nanoparticle, a number that can be rationalized within the biological context of the model system.

Exosomes in Precision Oncology and Beyond: From Bench to Bedside in Diagnostics and Therapeutics

Exosomes have emerged as pivotal players in precision oncology, offering innovative solutions to longstanding challenges such as metastasis, therapeutic resistance, and immune evasion. These nanoscale extracellular vesicles facilitate intercellular communication by transferring bioactive molecules that mirror the biological state of their parent cells, positioning them as transformative tools for cancer diagnostics and therapeutics. Recent advancements in exosome engineering, artificial intelligence (AI)-driven analytics, and isolation technologies are breaking barriers in scalability, reproducibility, and clinical application. Bioengineered exosomes are being leveraged for CRISPR-Cas9 delivery, while AI models are enhancing biomarker discovery and liquid biopsy accuracy. Despite these advancements, key obstacles such as heterogeneity in exosome populations and the lack of standardized isolation protocols persist. This review synthesizes pioneering research on exosome biology, molecular engineering, and clinical translation, emphasizing their dual roles as both mediators of tumor progression and tools for intervention. It also explores emerging areas, including microbiome-exosome interactions and the integration of machine learning in exosome-based precision medicine. By bridging innovation with translational strategies, this work charts a forward-looking path for integrating exosomes into next-generation cancer care, setting it apart as a comprehensive guide to overcoming clinical and technological hurdles in this rapidly evolving field.

Recent Progress in Developing Extracellular Vesicles as Nanovehicles to Deliver Carbohydrate-Based Therapeutics and Vaccines

Cell-derived, nanoscale extracellular vesicles (EVs) have emerged as promising tools in diagnostic, therapeutic, and vaccine applications. Their unique properties including the capability to encapsulate diverse molecular cargo as well as the versatility in surface functionalization make them ideal candidates for safe and effective vehicles to deliver a range of biomolecules including gene editing cassettes, therapeutic proteins, glycans, and glycoconjugate vaccines. In this review, we discuss recent advances in the development of EVs derived from mammalian and bacterial cells for use in a delivery of carbohydrate-based protein therapeutics and vaccines. We highlight key innovations in EVs' molecular design, characterization, and deployment for treating diseases including Alzheimer's disease, infectious diseases, and cancers. We discuss challenges for their clinical translation and provide perspectives for future development of EVs within biopharmaceutical research and the clinical translation landscape.

Variations in extracellular vesicle shedding of Cystoisospora suis stages (Apicomplexa: Coccidia)

Cystoisospora suis, a porcine enteral parasite of the order Coccidia, is characterized by a complex life cycle, with asexual and sexual development in the epithelium of the host gut and an environmental phase as an oocyst. All developmental stages vary greatly in their morphology and function, and therefore excrete different bioactive molecules for intercellular communication. Due to their complex development, we hypothesized that the extracellular vesicles (EVs) cargo is highly dependent on the life cycle stages from which they are released. This study aimed to characterize and compare EVs of all developmental stages of C. suis. Nanoparticle tracking analysis and microscopy were used to determine particle numbers and size distributions of stage-specific parasite EVs. Furthermore, Fourier-transform infrared spectral analysis was employed for the metabolic fingerprinting of EVs, and the lipid and protein profiles of all parasite stages were determined. Overall, the study revealed that asexual, sexual and transmissible stages of C. suis release different EVs during the parasite's life cycle. EVs of endogenous asexual and sexual stages were found to be more similar to each other than to those of the transmissible environmental stage, the oocyst. Furthermore, the ratio of fatty acids to polysaccharides and proteins changed during parasite development. In particular, proteins associated with the Apicomplexa and those involved in vesicle shedding showed changes in expression in all parasite stages. Lipid analysis showed that fatty acids were found in the same concentration through all parasite stages, whereas the amount of stereolipids, sphingolipids and glycerolipids changed between the parasite stages. In conclusion, this study, which presents the first known characterization of C. suis EVs, demonstrates a link between EVs and the respective developmental stages of the parasite, and putative functions in the parasite-parasite and host-parasite interplays.

A Primer on Proteomic Characterization of Intercellular Communication in a Virus Microenvironment

Intercellular communication is fundamental to multicellular life and a core determinant of outcomes during viral infection, where the common goals of virus and host for persistence and replication are generally at odds. Hosts rely on encoded innate and adaptive immune responses to detect and clear viral pathogens, while viruses can exploit or disrupt these pathways and other intercellular communication processes to enhance their spread and promote pathogenesis. While virus-induced signaling can result in systemic changes to the host, striking alterations are observed within the cellular microenvironment directly surrounding a site of infection, termed the virus microenvironment (VME). Mechanisms employed by viruses to condition their VMEs are emerging and are critical for understanding the biology and pathologies of viral infections. Recent advances in experimental approaches, including proteomic methods, have enabled study of the VME in unprecedented detail. In this review article, we provide a primer on proteomic approaches used to study how viral infections alter intercellular communication, highlighting the ways in which these approaches have been implemented and the exciting biology they have uncovered. First, we consider the different molecules secreted by an infected cell, including proteins, either soluble or contained within extracellular vesicles, and metabolites. We further discuss the modalities of interactions facilitated by alteration at the cell surface of infected cells, including immunopeptide presentation and interactions with the extracellular matrix. Finally, we review spatial profiling approaches that have allowed distinguishing how specific subpopulations of cells within a VME respond to infection and alter their protein composition, discussing valuable insights these methods have offered.

Site Directed Mutagenesis of the Cyc2 Outer Membrane Protein from Acidithiobacillus ferrooxidans Reveals a Critical Role for Bound Iron Atoms in Extracellular Electron Transfer

Extracellular electron transfer (EET) processes by metal respiratory bacteria rely on outer membrane proteins (OMPs) to exchange electrons across the insulating cell membrane. The most studied OMPs from metal reducing bacteria contain multiple sequential heme groups. However, many iron-oxidizing bacteria, including the industrial bioleaching microbe Acidithiobacillus ferrooxidans, contain monoheme OMPs and the mechanism of electron transfer through these smaller structures has not been elucidated. Computational modeling was previously used to predict two iron ion binding sites in the Cyc2 protein structure from A. ferrooxidans. To determine if these binding sites are critical for protein function, the monoheme Cyc2 OMP from A. ferrooxidans is recombinantly expressed in E. coli outer membrane vesicles (OMVs) which are then incorporated into biomimetic cell-membrane supported lipid bilayers (SLB) on electrodes to measure electron transfer. Site-directed mutagenesis is used to disrupt the putative ion binding sites predicted from modeling to elucidate the mechanism. It is confirmed that the Cyc2 protein is capable of EET without the need for soluble iron or other accessory proteins. These results confirm the critical role of bound metal ions in the A. ferrooxidans EET mechanism, and it is expected that homologous monoheme OMPs will have similar conduction pathways.

Prospect of extracellular vesicles in tumor immunotherapy

Extracellular vesicles (EVs), as cell-derived small vesicles, facilitate intercellular communication within the tumor microenvironment (TME) by transporting biomolecules. EVs from different sources have varied contents, demonstrating differentiated functions that can either promote or inhibit cancer progression. Thus, regulating the formation, secretion, and intake of EVs becomes a new strategy for cancer intervention. Advancements in EV isolation techniques have spurred interest in EV-based therapies, particularly for tumor immunotherapy. This review explores the multifaceted functions of EVs from various sources in tumor immunotherapy, highlighting their potential in cancer vaccines and adoptive cell therapy. Furthermore, we explore the potential of EVs as nanoparticle delivery systems in tumor immunotherapy. Finally, we discuss the current state of EVs in clinical settings and future directions, aiming to provide crucial information to advance the development and clinical application of EVs for cancer treatment.

Consensus statement on extracellular vesicles in liquid biopsy for advancing laboratory medicine

Extracellular vesicles (EVs) represent a diverse class of nanoscale membrane vesicles actively released by cells. These EVs can be further subdivided into categories like exosomes and microvesicles, based on their origins, sizes, and physical attributes. Significantly, disease-derived EVs have been detected in virtually all types of body fluids, providing a comprehensive molecular profile of their cellular origins. As a result, EVs are emerging as a valuable addition to liquid biopsy techniques. In this collective statement, the authors share their current perspectives on EV-related research and product development, with a shared commitment to translating this newfound knowledge into clinical applications for cancer and other diseases, particularly as disease biomarkers. The consensus within this document revolves around the overarching recognition of the merits, unresolved questions, and existing challenges surrounding EVs. This consensus manuscript is a collaborative effort led by the Committee of Exosomes, Society of Tumor Markers, Chinese anti-Cancer Association, aimed at expediting the cultivation of robust scientific and clinically applicable breakthroughs and propelling the field forward with greater swiftness and efficacy.

A metabolic fingerprint of ovarian cancer: a novel diagnostic strategy employing plasma EV-based metabolomics and machine learning algorithms

Ovarian cancer (OC) is the third most common malignant tumor of women and is accompanied by an alteration of systemic metabolism. A liquid biopsy that captures and detects tumor-related biomarkers in body fluids has great potential for OC diagnosis. EVs, nanosized extracellular vesicles found in the blood, have been proposed as promising biomarkers for liquid biopsies. In this study we recruited 37 OC patients, 22 benign ovarian tumor (BE) patients, and 46 clinically healthy control patients (CON). Plasma EVs were purified from blood samples and sensitive thermal separation probe-based mass spectrometry analysis using a global untargeted metabolic profiling strategy was employed to characterize the metabolite fingerprints. Uniform manifold approximation and projection (UMAP) analysis demonstrated a distinct separation of EVs among the three groups. We screened for diagnostic biomarkers from plasma EV metabolites using seven machine learning algorithms, including artificial neural network (ANN), decision tree (DT), K nearest neighbor (KNN), logistics regression (LR), Naïve Bayes (NB), random forest (RF), and support vector machine (SVM). For the OC-CON comparison, the highest AUC values were found for RF (0.91), ANN (0.90) and NB (0.90), with the F1-scores of 0.88, 0.83, and 0.76 respectively. For the OC-BE comparison, SVM (0.94), RF (0.86), and KNN (0.86) gave the highest AUCs, with F1-scores of 0.80, 0.80, and 0.91 respectively. A total of 19 and 158 metabolic features exhibited significant differences (FC = 1.5, q < 0.01) in the OC vs BE and OC vs CON comparisons, respectively. Notably, the quantities of 9-octadecenamide and 1,4-methanobenzocyclodecene were significantly elevated, while maltol showed a significant reduction in the OC group compared to the BE group. When comparing the OC group to the CON group, the concentrations of 4-amino-furazan-3-carboxylic acid 2-hydroxy-4-methoxybenzaldehyde, N-phenylethyl, and 4-morpholineethanamine were significantly elevated, while the remaining metabolites, including hydrazine and pyridine sulfonamide, were reduced, in the OC group. The metabolites showing different abundancies are associated with cancer-related mutations, immune responses, and metabolic reprogramming. We demonstrate that the RF algorithm, combined with sensitive thermal separation probe-based mass spectrometry analysis of plasma EVs, can effectively identify OC patients with good accuracy. Thus, our study has shortlisted a set of potential biomarkers in plasma EVs, and the proposed approach could serve as a routine prescreening tool for ovarian cancer.

Kinetics and Mechanisms of Solar UVB Disinfection of Vesicle-Cloaked Murine Norovirus Clusters and Free Noroviruses

Human norovirus, a major global cause of gastroenteritis, forms vesicle-cloaked virus clusters (known as viral vesicles), showing increased infectivity and persistence in aquatic environments. We investigated UVB disinfection, a key mechanism of solar disinfection commonly employed in developing countries, targeting murine norovirus vesicles and free murine noroviruses as surrogates for human noroviruses. At low viral concentrations of 109 gene copies per liter, viral infectivity loss as quantified by the integrated cell culture-reverse transcription-quantitative polymerase chain reaction (ICC-RT-qPCR) indicated that vesicles were 1.51 to 1.73 times more resistant to disinfection compared to free viruses. Virus inactivation was primarily due to protein damage as quantified by bicinchoninic acid and Western blot assays, and the damage of virus binding to host cells as quantified by RT-qPCR. Molecular simulations predicted that the oxidation of a tyrosine residue in the viral protein 1 prohibited binding. UVB irradiation of viral/vesicle proteins resulted in 1O2 formation as quantified by time-resolved phosphorescence, and for the first time, endogenous 1O2 was confirmed to contribute to virus inactivation by UVB. Our study recognizes the limitation of UVB disinfection of viral vesicles particularly in solar wastewater treatment and advocates for enhanced disinfection strategies to protect public health.

Extracellular vesicles: from intracellular trafficking molecules to fully fortified delivery vehicles for cancer therapeutics

Extracellular vesicles (EVs) are emerging as viable tools in cancer treatment due to their ability to carry a wide range of theranostic activities. This review summarizes different forms of EVs such as exosomes, microvesicles, apoptotic bodies, and oncosomes. It also sheds the light onto isolation methodologies, characterization techniques and therapeutic applications of all discussed EVs. Evidence indicates that EVs are particularly effective in delivering chemotherapeutic medications, and immunomodulatory agents. However, the advancement of EV-based therapies into clinical practice is hindered by challenges including EVs heterogeneity, cargo loading efficiency, and in vivo stability. Overall, EVs have the potential to change cancer therapeutic paradigms. Continued research and development activities are critical for improving EV-based medications and increasing their therapeutic impact.

Small Extracellular Vesicles Engineered Using Click Chemistry to Express Chimeric Antigen Receptors Show Enhanced Efficacy in Acute Liver Failure

Acetaminophen (APAP) overdose can cause severe liver injury and life-threatening conditions that may lead to multiple organ failure without proper treatment. N-acetylcysteine (NAC) is the accepted and prescribed treatment for detoxification in cases of APAP overdose. Nonetheless, in acute liver failure (ALF), particularly when the ingestion is substantial, NAC may not fully restore liver function. NAC administration in ALF has limitations and potential adverse effects, including nausea, vomiting, diarrhoea, flatus, gastroesophageal reflux, and anaphylactoid reactions. Mesenchymal stromal cell (MSC)-based therapies using paracrine activity show promise for treating ALF, with preclinical studies demonstrating improvement. Recently, MSC-derived extracellular vesicles (EVs) have emerged as a new therapeutic option for liver injury. MSC-derived EVs can contain various therapeutic cargos depending on the cell of origin, participate in physiological processes, and respond to abnormalities. However, most therapeutic EVs lack a distinct orientation upon entering the body, resulting in a lack of targeting specificity. Therefore, enhancing the precision of natural EV delivery systems is urgently needed. Thus, we developed an advanced targeting technique to deliver modified EVs within the body. Our strategy aims to employ bioorthogonal click chemistry to attach a targeting molecule to the surface of small extracellular vesicles (sEVs), creating exogenous chimeric antigen receptor-modified sEVs (CAR-sEVs) for the treatment. First, we engineered azido-modified sEVs (N3-sEVs) through metabolic glycoengineering by treating MSCs with the azide-containing monosaccharide N-azidoacetyl-mannosamine (Ac4ManNAz). Next, we conjugated N3-sEVs with a dibenzocyclooctyne (DBCO)-tagged single-chain variable fragment (DBCO-scFv) that targets the asialoglycoprotein receptor (ASGR1), thus producing CAR-sEVs for precise liver targeting. The efficacy of CAR-sEV therapy in ALF models by targeting ASGR1 was validated. MSC-derived CAR-sEVs reduced serum liver enzymes, mitigated liver damage, and promoted hepatocyte proliferation in APAP-induced injury. Overall, CAR-sEVs exhibited enhanced hepatocyte specificity and efficacy in ameliorating liver injury, highlighting the significant advancements achievable with cell-free targeted therapy.

Extracellular vesicles: their challenges and benefits as potential biomarkers for musculoskeletal disorders

Early diagnosis and timely management are critical for determining disease outcomes and prognoses. To date, certain methods for developing disease-specific biomarkers have been reported; however, strategies for musculoskeletal disease-specific biomarker development have rarely been studied. Recent studies have highlighted the potential application of extracellular vesicles (EVs) as disease-specific biomarkers. EVs encapsulate proteins, lipids, messenger RNAs, and microRNAs derived from their cellular origin; these constituents remain stable within the EVs and can traverse the blood-brain barrier. Because of these distinctive characteristics, EVs have been actively investigated as diagnostic tools for various conditions, including cancer, inflammatory diseases, and musculoskeletal disorders. Although EVs have many advantages for biomarker development, they have not yet been fully researched in the context of musculoskeletal pathologies. The current review aimed to highlight the potential of EVs in the development of disease-specific biomarkers, summarize the processes of EV biomarkers, and discuss current limitations and future perspectives of EVs as biomarkers.

In situ NMR reveals a pH sensor motif in an outer membrane protein that drives bacterial vesicle production

The outer membrane vesicles (OMVs) produced by diderm bacteria have important roles in cell envelope homeostasis, secretion, interbacterial communication, and pathogenesis. The facultative intracellular pathogen Salmonella enterica Typhimurium (STm) activates OMV biogenesis inside the acidic vacuoles of host cells by upregulating the expression of the outer membrane (OM) protein PagC, one of the most robustly activated genes in a host environment. Here, we used solid-state nuclear magnetic resonance (NMR) and electron microscopy (EM), with native bacterial OMVs, to demonstrate that three histidines, essential for the OMV biogenic function of PagC, constitute a key pH-sensing motif. The NMR spectra of PagC in OMVs show that they become protonated around pH 6, and His protonation is associated with specific perturbations of select regions of PagC. The use of bacterial OMVs is an essential aspect of this work enabling NMR structural studies in the context of the physiological environment. PagC expression upregulates OMV production in E. coli, replicating its function in STm. Moreover, the presence of PagC drives a striking aggregation of OMVs and increases bacterial cell pellicle formation at acidic pH, pointing to a potential role as an adhesin active in biofilm formation. The data provide experimental evidence for a pH-dependent mechanism of OMV biogenesis and aggregation driven by an outer membrane protein.

Colorimetric aptasensor coupled with a deep-learning-powered smartphone app for programmed death ligand-1 expressing extracellular vesicles

Lung cancer is a devastating public health threat and a leading cause of cancer-related deaths. Therefore, it is imperative to develop sophisticated techniques for the non-invasive detection of lung cancer. Extracellular vesicles expressing programmed death ligand-1 (PD-L1) markers (PD-L1@EVs) in the blood are reported to be indicative of lung cancer and response to immunotherapy. Our approach is the development of a colorimetric aptasensor by combining the rapid capturing efficiency of (Fe3O4)-SiO2-TiO2 for EV isolation with PD-L1 aptamer-triggered enzyme-linked hybridization chain reaction (HCR) for signal amplification. The numerous HRPs catalyze their substrate dopamine (colorless) into polydopamine (blackish brown). Change in chromaticity directly correlates with the concentration of PD-L1@EVs in the sample. The colorimetric aptasensor was able to detect PD-L1@EVs at concentrations as low as 3.6×102 EVs/mL with a wide linear range from 103 to 1010 EVs/mL with high specificity and successfully detected lung cancer patients' serum from healthy volunteers' serum. To transform the qualitative colorimetric approach into a quantitative operation, we developed an intelligent convolutional neural network (CNN)-powered quantitative analyzer for chromaticity in the form of a smartphone app named ExoP, thereby achieving the intelligent analysis of chromaticity with minimal user intervention or additional hardware attachments for the sensitive and specific quantification of PD-L1@EVs. This combined approach offers a simple, sensitive, and specific tool for lung cancer detection using PD-L1@EVs. The addition of a CNN-powered smartphone app further eliminates the need for specialized equipment, making the colorimetric aptasensor more accessible for low-resource settings.

Stabilizing milk-derived extracellular vesicles (mEVs) through lyophilization: a novel trehalose and tryptophan formulation for maintaining structure and Bioactivity during long-term storage

Extracellular vesicles (EVs) are widely investigated for their implications in cell-cell signaling, immune modulation, disease pathogenesis, cancer, regenerative medicine, and as a potential drug delivery vector. However, maintaining integrity and bioactivity of EVs between Good Manufacturing Practice separation/filtration and end-user application remains a consistent bottleneck towards commercialization. Milk-derived extracellular vesicles (mEVs), separated from bovine milk, could provide a relatively low-cost, scalable platform for large-scale mEV production; however, the reliance on cold supply chain for storage remains a logistical and financial burden for biologics that are unstable at room temperature. Herein, we aim to characterize and engineer a freeze-dried, mEV formulation that can be stored at room temperature without sacrificing structure/bioactivity and can be reconstituted before delivery. In addition to undertaking established mEV assays of structure and function on our preparations, we introduce a novel, efficient, high throughput assay of mEV bioactivity based on Electric Cell Substrate Impedance Sensing (ECIS) in Human dermal fibroblast monolayers. By adding appropriate excipients, such as trehalose and tryptophan, we describe a protective formulation that preserves mEV bioactivity during long-term, room temperature storage. Our identification of the efficacy of tryptophan as a novel additive to mEV lyophilization solutions could represent a significant advancement in stabilizing small extracellular vesicles outside of cold storage conditions.

Opportunities and challenges of bacterial extracellular vesicles in regenerative medicine

Extracellular vesicles (EVs) are membrane-bound vesicles that are shed or secreted from the cell membrane and enveloped by a lipid bilayer. They possess stability, low immunogenicity, and non-cytotoxicity, exhibiting extensive prospects in regenerative medicine (RM). However, natural EVs pose challenges, such as insufficient targeting capabilities, potential biosafety concerns, and limited acquisition pathways. Although engineered EVs demonstrate excellent therapeutic efficacy, challenges such as low production yield and the complexity of engineering modifications constrain their further clinical applications. Bacteria have advantages such as rapid proliferation, diverse gene editing methods, mature cultivation techniques, and relatively easy preparation of bacterial EVs (BEVs), which can be used to effectively address the challenges currently encountered in the field of EVs. This review provides a description of the biogenesis and pathophysiological functions of BEVs, and strategies for optimizing BEVs preparation to attain efficiency and safety are discussed. An analysis of natural characteristics of BEVs is also conducted to explore how to leverage their advantages or mitigate their limitations, thereby overcoming constraints on the application of BEVs in RM. In summary, engineered BEVs possess characteristics such as high production yield, excellent stability, and high drug-delivering capabilities, laying the foundation for their application in RM.

Wildfire-relevant woodsmoke and extracellular vesicles (EVs): Alterations in EV proteomic signatures involved in extracellular matrix degradation and tissue injury in airway organotypic models

Wildfires adversely impact air quality and public health worldwide. Exposures to wildfire smoke are linked to adverse health outcomes, including cardiopulmonary diseases. Critical research gaps remain surrounding the underlying biological pathways leading to wildfire-induced health effects. The regulation of intercellular communication and downstream toxicity driven by extracellular vesicles (EVs) is an important, understudied biological mechanism. This study investigated EVs following a wildfire smoke-relevant in vitro exposure. We hypothesized that woodsmoke (WS) would alter the proteomic content of EVs secreted in organotypic in vitro airway models. Exposures were carried out using a tri-culture model of alveolar epithelial cells, fibroblasts, and endothelial cells and a simplified co-culture model of alveolar epithelial cells and fibroblasts to inform responses across different cell populations. Epithelial cells were exposed to WS condensate and EVs were isolated from basolateral conditioned medium following 24 h exposure. WS exposure did not influence EV particle characteristics, and it moderately increased EV count. Exposure caused the differential loading of 25 and 35 proteins within EVs collected from the tri- and co-culture model, respectively. EV proteins involved in extracellular matrix degradation and wound healing were consistently modulated across both models. However, distinct proteins involved in the wound healing pathway were altered between models, suggesting unique but concerted efforts across cell types to communicate in response to injury. These findings demonstrate that a wildfire-relevant exposure alters the EV proteome and suggest an impact on EV-mediated intercellular communication. Overall, results demonstrate the viability of organotypic approaches in evaluating EVs to investigate exposure-induced biomarkers and underlying mechanisms. Findings also highlight the impact of differences in the biological complexity of in vitro models used to evaluate the effects of inhaled toxicants.

Isolation and Characterization of Exosomes from Ocular Samples

Exosomes are microsize vesicles secreted by nearly all cells to the extracellular space. The vesicles transport cell signaling and communicate with other cells. Ultracentrifugation is the standard method to isolate exosomes from culture media or body fluid. Without ultracentrifuge, exosomes can be precipitated by polyethylene glycol or separated by size exclusion chromatography. After isolation, nanoparticle tracking analysis can help to estimate the size and concentration of exosome samples. Transmission electron microscopy can directly show the size and morphology of exosomes. Moreover, the sample should be characterized by the expression of several exosome biomarker proteins. Exosomal contents such as proteins and miRNAs could be profiled using appropriate technologies.

Development of an easy non-destructive particle isolation protocol for quality control of red blood cell concentrates

The extracellular vesicle release in red blood cell concentrates reflects progressive accumulation of storage lesions and could represent a new measure to be implemented routinely in blood centres in addition to haemolysis. Nevertheless, there is currently no standardized isolation protocol. In a previous publication, we developed a reproducible ultracentrifugation-based protocol (20,000 × g protocol) that allows to classify red blood cell concentrates into three cohorts according to their vesiculation level. Since this protocol was not adapted to meet routine requirements, the goal of this study was to develop an easier method based on low-speed centrifugation (2,000 × g protocol) and limited red blood cell concentrate volumes to match with a non-destructive sampling from the quality control sampling tubing. Despite the presence of contaminants, mainly in the form of albumin and lipoproteins, the material isolated with the 2,000 × g protocol contained red blood cell-derived vesicular structures. It was reproducible, could predict the number of extracellular vesicles obtained with the 20,000 × g protocol and better discriminated between the three vesiculation cohorts than haemolysis at the legal expiry date of 6 weeks. However, by decreasing red blood cell concentrate volumes to fit with the volume in the quality control tubing, particle yield was highly reduced. Therefore, centrifugation time and relative centrifugal force were adapted (1,000 × g protocol), allowing for the recovery of a similar particle number and composition between small and large volumes sampled from the main unit, in different vesiculation cohorts over time. A similar observation was made with the 1,000 × g protocol between small volumes sampled from the quality control tubing and the mother-bag. In conclusion, our study paves the way for the use of the 2,000 × g protocol (adapted to a 1,000 × g protocol with the quality control sampling tubing) for particle measurement in blood centres.

Harnessing extracellular vesicle heterogeneity for diagnostic and therapeutic applications

Extracellular vesicles (EVs) are diverse nanoparticles with large heterogeneity in size and molecular composition. Although this heterogeneity provides high diagnostic value for liquid biopsy and confers many exploitable functions for therapeutic applications in cancer detection, wound healing and neurodegenerative and cardiovascular diseases, it has also impeded their clinical translation-hence heterogeneity acts as a double-edged sword. Here we review the impact of subpopulation heterogeneity on EV function and identify key cornerstones for addressing heterogeneity in the context of modern analytical platforms with single-particle resolution. We outline concrete steps towards the identification of key active biomolecules that determine EV mechanisms of action across different EV subtypes. We describe how such knowledge could accelerate EV-based therapies and engineering approaches for mimetic artificial nanovesicle formulations. This approach blunts one edge of the sword, leaving only a single razor-sharp edge on which EV heterogeneity can be exploited for therapeutic applications across many diseases.

ATR-Infrared Spectroscopy and Acoustic Sensing in Characterization of Blood and Pancreatic Ductal Adenocarcinoma-Derived Extracellular Vesicles

Extracellular vesicles (EVs) are phospholipid bilayer-enclosed nanoparticles secreted by most cells into the biofluids. They have an important role in intercellular communication by carrying bioactive components (e.g., lipids, proteins, nucleic acids, and other metabolites) and reflecting the biochemical and metabolic processes of their parent cell. Due to their widespread molecular cargo, they have potential diagnostic and therapeutic roles, so they can be considered as new generation biomarkers. With the drastic increase in the number of publications and the comparability of the obtained results, the development of standardized protocols has become necessary. Here we aim to demonstrate the applicability of two, non-conventional techniques, such as ATR-infrared spectroscopy (ATR-FTIR) and electromagnetic piezoelectric acoustic sensor (EMPAS) in the characterization of compositional changes of blood- and pancreatic tumor-derived vesicles. In addition, we provide guidelines in sample collection, isolation, and separation of EVs. IR spectroscopy, as a fast and label-free technique, gives biochemical insight into the sample composition, while EMPAS serves information on vesicle quantity and in membrane integrity changes during storage.

Distinct molecular properties and functions of small EV subpopulations isolated from human umbilical cord MSCs using tangential flow filtration combined with size exclusion chromatography

As functional derivatives of mesenchymal stem cells (MSCs), small extracellular vesicles (sEVs) have garnered significant attention and application in regenerative medicine. However, the technical limitations for large-scale isolation of sEVs and their heterogeneous nature have added complexity to their applications. It remains unclear if the heterogeneous sEVs represent different aspects of MSCs functions. Here, we provide a method for the large-scale production of sEVs subpopulations derived from human umbilical cord mesenchymal stem cells (HucMSCs), utilizing tangential flow filtration combined with size exclusion chromatography. The resulting subpopulations, S1-sEVs and S2-sEVs, exhibited stable variations in size, membrane-marked proteins, and carrying cargos, thereby displaying distinct functions both in vitro and in animal disease models. S1-sEVs, that highly expressed CD9, HRS and GPC1, demonstrated a greater immunomodulatory impact, while S2-sEVs with enriched expression of CD63 and FLOT1/2 possessed enhanced capacities in promoting cell proliferation and angiogenesis. These discrepancies are attributed to the specific proteins and miRNAs they contain. Further investigation revealed that the two distinct sEVs subpopulations corresponded to different biological processes: the ESCRT pathway (S1-sEVs) and the ESCRT-independent pathway represented by lipid rafts (S2-sEVs). Therefore, we propose the potential for large-scale isolation and purification of sEVs subpopulations from HucMSCs with distinct functions. This approach may provide advantages for targeted therapeutic interventions in various MSC indications.

Clostridium difficile-derived membrane vesicles promote fetal growth restriction via inhibiting trophoblast motility through PPARγ/RXRα/ANGPTL4 axis

Fetal growth restriction (FGR) is a common complication of pregnancy, which seriously endangers fetal health and still lacks effective therapeutic targets. Clostridium difficile (C. difficile) is associated with fetal birth weight, and its membrane vesicles (MVs) are pathogenic vectors. However, the role of C. difficile and its MVs in FGR remains unclear. Here we found that supplementation with C. difficile altered the characteristics of gut microbiota and reduced the birth weight in mice. Interestingly, C. difficile MVs entered placenta, inhibited trophoblast motility, and induced fetal weight loss in mice. Mechanistically, C. difficile MVs activated the PPAR pathway via enhancing the transcriptional activity of PPARγ promoter, consequently inhibiting trophoblast motility. Moreover, PPARγ expression was significantly elevated in FGR placenta, and negatively correlated with fetal birth weight. Together, our findings reveal the significance of C. difficile and its MVs in FGR, providing new insights into the mechanisms of FGR development.

Identification and Functional Analysis of miRNAs in Extracellular Vesicles of Semen Plasma from High- and Low-Fertility Boars

Artificial insemination (AI), as an efficient assisted reproduction technology, can help the livestock industry to improve livestock and poultry breeds, optimize production performance and improve reproductive efficiency. AI technology has been widely used in pig production in China, but boar fertility affects the effectiveness of AI, and more and more studies have shown that there are significant differences in the fertility of boars with similar semen quality indicators. Therefore, this study aimed to identify biomarker molecules that indicate the level of boar fertility, which is important for improving the efficiency of AI. In this study, we collected 40 mL of ejaculates per boar used for extracellular vesicle (EV) characterization in 20 boars and identified 53 differentially expressed miRNAs by small RNA sequencing, of which 44 miRNAs were up-regulated in the high-fertility seminal EVs compared with low-fertility seminal EVs, and nine miRNAs were down-regulated. miR-26a was most significantly down-regulated in the high-fertility group compared to the low-fertility group, and it was hypothesized that this miRNA could be used as a biomolecular marker of semen reproductive performance. To further determine the effect of miR-26a on sperm function, we successfully established a miR-26a overexpression model and found that miR-26a reduced sperm viability, motility, acrosome integrity, plasma membrane integrity and ATP levels. Bioinformatics analysis and dual luciferase reporter analysis revealed that miR-26a directly targets High mobility group A1 (HMGA1). In conclusion, miR-26a can be used as a biomarker to identify high and low fertility in boar semen.

Activated hepatic stellate cell-derived small extracellular vesicles facilitate M2 macrophage polarization and hepatoma progression via miR-27a-3p

The progression of hepatoma is heavily influenced by the microenvironment. Tumor-associated macrophages (TAMs) are considered to play a critical role in the tumor microenvironment (TME) and increase the aggressiveness of hepatoma. The activation of hepatic stellate cells (HSCs) is involved in hepatoma progression, and accumulating evidence demonstrates a change in microRNA (miRNA) expression during HSC activation. Therefore, the potential roles of HSCs-related miRNAs in macrophage differentiation and hepatoma progression deserve to be explored. The present study aimed to investigate the effects of miRNAs carried by small extracellular vesicles (sEVs) released by activated HSCs on hepatoma progression. The results indicated that miR-27a-3p was significantly upregulated in cells and corresponding sEVs during the activation of primary rat HSCs and human HSC line-LX2 cells. Furthermore, miR-27a-3p contributed to the proliferation and migration of hepatoma cells and promoted M2 polarization of macrophage. HSC-sEVs overexpressing miR-27a-3p can directly facilitate tumor progression and modulate macrophage polarization, indirectly contributing to hepatoma progression. Finally, Sprouty2 (SPRY2) was verified to be the target gene of miR-27a-3p. In conclusion, activated HSC-derived sEVs with high levels of miR-27a-3p might induce M2 macrophage polarization and promote hepatoma progression, providing new insights into the mechanism of hepatoma progression.

Advances of New Extracellular Vesicle Isolation and Detection Technologies in Cancer Diagnosis

Cancer is a global health issue threatening people's lives. Currently, cancer detection methods still have a lot of room for improvement in both efficiency and accuracy. The development and application of new technologies are urgently required for early cancer diagnosis and prognosis. Extracellular vesicles (EVs) are a type of phospholipid bilayer vesicle secreted by cells and play an important role in cancer development and metastasis. These small vesicles participate in cancer information transmission, antigen presentation, angiogenesis, immune response, tumor invasion, and mediate signaling pathways in the tumor microenvironment. Liquid biopsy of EV cargo contents is a fast-developing research area, holding promise for early cancer diagnosis and monitoring cancer progression in real-time. However, current EV detection technologies for clinical translation are still facing many challenges. Recent advancements in developing techniques for EV isolation and detection have made significant progress and are paving the way toward clinical application. Here, the advantages and limitations of traditional EV detection and isolation technologies in cancer diagnosis and prognosis are reviewed. The review also focuses on emerging EV detection and isolation technologies in cancer, discusses the challenges faced by current methods, and explores the perspective of new EV detection techniques for future cancer diagnosis.

Recent Advancements in Imaging Techniques for Individual Extracellular Vesicles

Extracellular vesicles (EVs), secreted from most cells, are small lipid membranes of vesicles of 30 to 1000 nm in diameter and contain nucleic acids, proteins, and intracellular organelles originating from donor cells. EVs play pivotal roles in intercellular communication, particularly in forming niches for cancer cell metastasis. However, EVs derived from donor cells exhibit significant heterogeneity, complicating the investigation of EV subtypes using ensemble averaging methods. In this context, we highlight recent studies that characterize individual EVs using advanced techniques, including single-fluorescent-particle tracking, single-metal-nanoparticle tracking, single-non-label-particle tracking, super-resolution microscopy, and atomic force microscopy. These techniques have facilitated high-throughput analyses of the properties of individual EV particles such as their sizes, compositions, and physical properties. Finally, we address the challenges that need to be resolved via single-particle (-molecule) imaging and super-resolution microscopy in future research.

Characterization of extracellular vesicles by capillary zone electrophoresis: A novel concept for characterization of a next-generation drug delivery platform

Extracellular vesicles (EVs) are a part of a cell-to-cell communication system of prokaryotic and eukaryotic organisms. Their ability to penetrate biological barriers and to transfer molecules between cells shows their potential as a novel class of drug delivery platform. However, because of the great heterogeneity of EVs and the complexity of biological matrices from which they are typically isolated, reliable quality control procedures need to be established to ensure their safety for medical use. According to current recommendations, quantification of EVs, confirmation of their identity, and purity assessment require the use of several analytical techniques, including particle-size distribution analysis, proteomics, and electron microscopy, making the characterization process demanding. Capillary electrophoresis (CE) has recently emerged as an alternative tool for EV characterization. In this study, the available literature on this novel concept for EV characterization was reviewed. Its performance was critically evaluated and compared with currently used methods. The utility of CE in the quality control of EV-based medicines was discussed.

Long non-coding RNA CASC15 enhances learning and memory in mice by promoting synaptic plasticity in hippocampal neurons

Alzheimer's disease (AD) is a debilitating systemic disorder that has a detrimental impact on the overall well-being of individuals. Emerging research suggests that long non-coding RNAs play a role in neural development and function. Nevertheless, the precise relationship between lncRNAs and Alzheimer's disease remains uncertain. The authors' recent discoveries have uncovered an unconventional mechanism involving the regulation of synaptic plasticity and the functioning of the hippocampal fragile X mental retardation protein 1 (FMR1)-neurotrophin 3 (NTF3) pathway, which is mediated by cancer susceptibility candidate 15 (CASC15). Subsequently, functional rescue experiments were performed to illustrate the efficient delivery of exosomes harboring a significant amount of 2610307p16Rik transcripts, which is the murine equivalent of human CASC15, to the hippocampal region of mice. This resulted in significant improvements in synaptic morphological plasticity and cognitive function in APP/PS1 mice. Given the pivotal involvement of CASC15 in synaptic plasticity and the distinctive regulatory mechanisms of the CASC15-FMR1-NTF3 axis, CASC15 emerges as a promising biomarker for Alzheimer's disease and may even possess potential as a feasible therapeutic target.

Practical advice for extracellular vesicle isolation in plant-microbe interactions: Concerns, considerations, and conclusions

In recent years, extracellular vesicles (EVs) have emerged as novel key players in plant-microbe interactions. While it is immensely useful to draw on the established "minimal information for studies of extracellular vesicles" (MISEV) guidelines and precedents in mammalian systems, working with plants and their associated microbes poses specific challenges. To navigate researchers through these obstacles, we offer detailed step-by-step suggestions for those embarking on EV research in the context of plant-microbe interactions. The advice is based on recent publications and our collective experience from the diverse plant and microbe systems studied in a dedicated research consortium. We provide considerations for experimental design, optimization, quality control, and recommendations on how to increase yield, purity, and reproducibility of EV isolation. With this perspective article, we aim not only to assist researchers in our field but also to promote discussions on plant and microbe EVs in the broader EV community.

Extracellular Vesicles from a Novel Chordoma Cell Line, ARF-8, Promote Tumorigenic Microenvironmental Changes When Incubated with the Parental Cells and with Human Osteoblasts

Chordomas are rare, generally slow-growing spinal tumors that nonetheless exhibit progressive characteristics over time, leading to malignant phenotypes and high recurrence rates, despite maximal therapeutic interventions. The tumors are notoriously resistant to therapies and are often located in regions that complicate achieving gross total resections. Cell lines from these tumors are rare as well. We cultured a new chordoma cell line (ARF-8) derived from an extensive clival chordoma that extended back to the cervical spine. We characterized the ARF-8 cellular and extracellular vesicle (EV) proteomes, as well as the impacts of ARF-8 EVs on the proteomes and secretomes of recipient cells (both ARF-8 and human osteoblasts) in autocrine and paracrine settings. Our proteomic analyses suggested roles for transforming growth factor beta (TGFB/TGFβ), cell-matrix interactions involving the epithelial-to-mesenchymal transition (EMT), and cell-extracellular matrix interactions in cell migration, consistent with a migratory/metastatic tumor phenotype. We demonstrated that ARF-8 tumor cell migration was dependent on general (arginine-glycine-aspartic acid [RGD]-based) integrin activity and that ARF-8 EVs could promote such migration. ARF-8 EVs also prompted proteomic/secretomic changes in human osteoblast cells, again with indications that cell-cell and cell-extracellular matrix interactions would be activated. All the characteristics typically associated with chordomas as cancers-migration and invasion, therapeutic resistance, metastatic potential-can be driven by tumor EVs. Overall, ARF-8 EVs promoted predicted tumorigenic phenotypes in recipient cells and suggested novel therapeutic targets for chordomas.

Vesicles: New Advances in the Treatment of Neurodegenerative Diseases

Neurodegenerative diseases are characterized by brain lesions that limit normal daily activities and represent a major challenge to healthcare systems worldwide, with a significant economic impact. Nanotechnology is the science of manipulating matter at the nanoscale, where materials exhibit unique properties that are significantly different from their larger counterparts. These properties can be exploited for a wide range of applications, including medicine. Among the emerging therapeutic approaches for the treatment of neurodegenerative diseases, nanotechnologies are gaining prominence as a promising avenue to explore. Here, we review the state of the art of biological and artificial vesicles and their biological properties in the context of neurodegenerative diseases. Indeed, nanometric structures such as extracellular vesicles and artificial vesicles represent a promising tool for the treatment of such disorders due to their size, biocompatibility, and ability to transport drugs, proteins, and genetic material across the blood-brain barrier to target specific cells and brain areas. In the future, a deeper and broader synergy between materials science, bioengineering, biology, medicine, and the discovery of new, increasingly powerful delivery systems will certainly enable a more applied use of nanotechnology in the treatment of brain disorders.

Potential Use of Exosomal Non-Coding MicroRNAs in Leukemia Therapy: A Systematic Review

Leukemia is a heterogeneous group of hematological malignancies. Despite the enormous progress that has been made in the field of hemato-oncology in recent years, there are still many problems related to, among others, disease recurrence and drug resistance, which is why the search for ideal biomarkers with high clinical utility continues. Research shows that exosomes play a critical role in the biology of leukemia and are associated with the drug resistance, metastasis, and immune status of leukemias. Exosomes with their cargo of non-coding RNAs act as a kind of intermediary in intercellular communication and, at the same time, have the ability to manipulate the cell microenvironment and influence the reaction, proliferative, angiogenic, and migratory properties of cells. Exosomal ncRNAs (in particular, circRNAs and microRNAs) appear to be promising cell-free biomarkers for diagnostic, prognostic, and treatment monitoring of leukemias. This review examines the expression of exosomal ncRNAs in leukemias and their potential regulatory role in leukemia therapy but also in conditions such as disease relapse, drug resistance, metastasis, and immune status. Given the key role of ncRNAs in regulating gene networks and intracellular pathways through their ability to interact with DNA, transcripts, and proteins and identifying their specific target genes, defining potential functions and therapeutic strategies will provide valuable information.

Determination of particle number concentration for biological particles using AF4-MALS: Dependencies on light scattering model and refractive index

Determining accurate counts and size distributions for biological particles (bioparticles) is crucial in wide-ranging fields, but current methods to this end are susceptible to bias from polydispersity in size. This bias can be mitigated by incorporating a separation step prior to characterization. For this reason, asymmetrical flow field-flow fractionation (AF4) with on-line multiangle light scattering (MALS) has become an important platform for determining particle size. AF4-MALS has also been increasingly used to report particle concentration, particularly for complex biological particles, yet the impact of light scattering models and particle refractive indices (RI) have not been quantitatively evaluated. Here, we develop an analysis workflow using AF4-MALS to simultaneously separate and determine particles sizes and concentrations. The impacts of the MALS particle counting model used to process data and the chosen RI value(s) on particle counts are systematically assessed for polystyrene latex (PSL) particles and bacterial outer membrane vesicles (OMVs) in the 20-500 nm size range. Across spherical models, PSL and OMV particle counts varied up to 13 % or 200 %, respectively. For the coated-sphere model used in the analysis of OMV samples, the sphere RI value greatly impacts particle counts. As the sphere RI value approaches the RI of the suspending medium, the model becomes increasingly sensitive to the light scattering signal-to-noise ratio ultimately causing erroneous particle counts. Overall, this work establishes the importance of selecting appropriate MALS models and RI values for bioparticles to obtain accurate counts and provides an AF4-MALS method to separate, enumerate, and size polydisperse bioparticles.