The role of exosomes in bladder cancer immunotherapy DOI Creative Commons
Mohammad Mousaei Ghasroldasht, Piyush K. Agarwal

Journal of the National Cancer Center, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

MIBlood‐EV: Minimal information to enhance the quality and reproducibility of blood extracellular vesicle research DOI Creative Commons
Fabrice Lucien, Dakota Gustafson, Metka Lenassi

et al.

Journal of Extracellular Vesicles, Journal Year: 2023, Volume and Issue: 12(12)

Published: Dec. 1, 2023

Abstract Blood is the most commonly used body fluid for extracellular vesicle (EV) research. The composition of a blood sample and its derivatives (i.e., plasma serum) are not only donor‐dependent but also influenced by collection preparation protocols. Since there hundreds pre‐analytical protocols over forty variables, development standard operating procedures EV research very challenging. To improve reproducibility research, International Society Extracellular Vesicles (ISEV) Task Force proposes standardized reporting (i) applied protocol (ii) quality prepared serum samples. Gathering detailed information will provide insight into performance more effectively identify potential confounders in collect this information, ISEV created Minimal Information (MIBlood‐EV), tool to record report about as well assays assess these preparations. This does require modifications established local can be easily implemented enhance existing databases thereby enabling evidence‐based optimization through meta‐analysis. Taken together, samples biobanks guide exchange between laboratories, (iii) facilitate inter‐laboratory comparative studies, (iv) peer review process.

Language: Английский

Citations

52

Interaction network of extracellular vesicles building universal analysis via eye tears: iNEBULA DOI Creative Commons
Liang Hu, Xiaoling Liu,

Qiaolan Zheng

et al.

Science Advances, Journal Year: 2023, Volume and Issue: 9(11)

Published: March 15, 2023

Discovering the secrets of diseases from tear extracellular vesicles (EVs) is well-recognized and appreciated. However, a precise understanding interaction network between EV populations their biogenesis our body requires more in-depth systematic analysis. Here, we report biological profiles different-size subsets healthy individuals origins proteins. We have identified about 1800 proteins revealed preferential differences in among distinct subsets. observe that eye-related maintain retinal homeostasis regulate inflammation are preferentially enriched medium-size EVs (100 to 200 nm) fractions. Using universal analysis combination with Human Protein Atlas consensus dataset, found genesis 37 tissues 79 cell types. The related neuronal cells, glial blood immune cells selectively Our studies heterogeneous provide building blocks for future transformative precision molecular diagnostics therapeutics.

Language: Английский

Citations

24

Expanding the horizon of EV-RNAs: LncRNAs in EVs as biomarkers for disease pathways DOI Creative Commons
Michail Spanos, Priyanka Gokulnath, Emeli Chatterjee

et al.

Extracellular Vesicle, Journal Year: 2023, Volume and Issue: 2, P. 100025 - 100025

Published: May 20, 2023

Extracellular vesicles (EVs) are membrane-bound nanoparticles with different types of cargo released by cells and postulated to mediate functions such as intercellular communications. Recent studies have shown that long non-coding RNAs (lncRNAs) or their fragments present within EVs. LncRNAs a heterogeneous group RNA species length exceeding 200 nucleotides diverse in based on localization. While lncRNAs known for important cellular regulation, presence role EVs only recently been explored. certain observed EV-lncRNAs be tissue- disease-specific, it remains determined whether not this is global observation. Nonetheless, these molecules demonstrated promising potential serve new diagnostic prognostic biomarkers. In review, we critically evaluate the EV-derived several prevalent diseases, including cancer, cardiovascular neurodegenerative specific focus

Language: Английский

Citations

24

Extracellular Vesicles for the Diagnosis of Parkinson's Disease: Systematic Review and Meta‐Analysis DOI Creative Commons
Mary Xylaki, A Chopra, Sandrina Weber

et al.

Movement Disorders, Journal Year: 2023, Volume and Issue: 38(9), P. 1585 - 1597

Published: July 14, 2023

Abstract Parkinson's disease (PD) biomarkers are needed by both clinicians and researchers (for diagnosis, identifying study populations, monitoring therapeutic response). Imaging, genetic, biochemical have been widely studied. In recent years, extracellular vesicles (EVs) become a promising material for biomarker development. Proteins molecular from any organ, including the central nervous system, can be packed into EVs transported to periphery easily obtainable biological specimens like blood, urine, saliva. We performed systematic review meta‐analysis of articles (published before November 15, 2022) reporting assessment in PD patients healthy controls (HCs). Biomarkers were analyzed using random effects calculated standardized mean difference (Std.MD). Several proteins ribonucleic acids identified patients, but only α‐synuclein (aSyn) leucine‐rich repeat kinase 2 (LRRK2) reported sufficient studies (n = 24 6, respectively) perform meta‐analysis. EV aSyn was significantly increased neuronal L1 cell adhesion molecule (L1CAM)–positive blood compared HCs (Std.MD 1.84, 95% confidence interval 0.76–2.93, P 0.0009). Further analysis sample isolation method indicated that L1CAM‐IP (immunoprecipitation) directly plasma best assessing patients. Upcoming neuroprotective clinical trials immediately need peripheral individuals at risk developing PD. Overall, improved sensitivity assays means they identify reflect changes brain. CNS‐derived will likely play major role development coming years. © 2023 The Authors. Movement Disorders published Wiley Periodicals LLC on behalf International Parkinson Disorder Society.

Language: Английский

Citations

24

Proteomics of the heart DOI
Oleg A. Karpov, Aleksandr Stotland, Koen Raedschelders

et al.

Physiological Reviews, Journal Year: 2024, Volume and Issue: 104(3), P. 931 - 982

Published: Feb. 1, 2024

Mass spectrometry-based proteomics is a sophisticated identification tool specializing in portraying protein dynamics at molecular level. Proteomics provides biologists with snapshot of context-dependent and proteoform expression, structural conformations, dynamic turnover, protein-protein interactions. Cardiac can offer broader deeper understanding the mechanisms that underscore cardiovascular disease, it foundational to development future therapeutic interventions. This review encapsulates evolution, current technologies, perspectives proteomic-based mass spectrometry as applies study heart. Key technological advancements have allowed researchers proteomes single-cell level employ robot-assisted automation systems for enhanced sample preparation techniques, increase fidelity spectrometers has unambiguous numerous posttranslational modifications. Animal models ranging from early animal experiments heart failure preserved ejection fraction, provided tools challenging organ laboratory. Further will pave way implementation even closer within clinical setting, allowing not only scientists but also patients benefit an interplay relates cardiac disease physiology.

Language: Английский

Citations

14

Comprehensive Phenotyping of Extracellular Vesicles in Plasma of Healthy Humans – Insights Into Cellular Origin and Biological Variation DOI Creative Commons
Marija Holcar, Ivica Marić, Tobias Tertel

et al.

Journal of Extracellular Vesicles, Journal Year: 2025, Volume and Issue: 14(1)

Published: Jan. 1, 2025

ABSTRACT Despite immense interest in biomarker applications of extracellular vesicles (EVs) from blood, our understanding circulating EVs under physiological conditions healthy humans remains limited. Using imaging and multiplex bead‐based flow cytometry, we comprehensively quantified with respect to their cellular origin a large cohort blood donors. We assessed coefficients variations characterize biological variation explored demographic, clinical, lifestyle factors contributing observed variation. Cell‐specific EV subsets show wide range concentrations that do not correlate cell‐of‐origin suggesting steady‐state subset are regulated by complex mechanisms, which differ even for the same cell type. Interestingly, tetraspanin+ largely originate platelets lesser extent lymphocytes. Principal component analysis (PCA) association analyses demonstrate high inter‐individual across humans, only partly explained influence sex, menopausal status, age smoking on specific and/or subsets. No global subject's was detected. Our findings provide first comprehensive, quantitative data towards cell‐origin atlas plasma EVs, important implications clinical use as biomarkers.

Language: Английский

Citations

1

Multi-Omics Integrative Approach of Extracellular Vesicles: A Future Challenging Milestone DOI Creative Commons
Enxhi Shaba, Lorenza Vantaggiato, Laura Governini

et al.

Proteomes, Journal Year: 2022, Volume and Issue: 10(2), P. 12 - 12

Published: April 22, 2022

In the era of multi-omic sciences, dogma on singular cause-effect in physio-pathological processes is overcome and system biology approaches have been providing new perspectives to see through. this context, extracellular vesicles (EVs) are offering a level complexity, given their role cellular communication activity as mediators specific signals target cells or tissues. Indeed, heterogeneity terms content, function, origin potentiality contribute cross-interaction almost every molecular process occurring complex system. Such features make EVs proper biological systems being, therefore, optimal targets omic sciences. Currently, most studies focus dissecting content order either characterize it explore its various pathogenic at transcriptomic, proteomic, metabolomic, lipidomic genomic levels. Despite valuable results being provided by individual studies, categorization data might represent limit be overcome. For reason, integrative approach tissue-specific potentiality. This review summarizes state-of-the-art addressing recent research integration multi-level challenging developments origin.

Language: Английский

Citations

36

A fully automated FAIMS-DIA mass spectrometry-based proteomic pipeline DOI Creative Commons
Luke Reilly,

E. C. Lara,

Daniel M. Ramos

et al.

Cell Reports Methods, Journal Year: 2023, Volume and Issue: 3(10), P. 100593 - 100593

Published: Sept. 19, 2023

Here, we present a standardized, "off-the-shelf" proteomics pipeline working in single 96-well plate to achieve deep coverage of cellular proteomes with high throughput and scalability. This integrated streamlines fully automated sample preparation platform, data-independent acquisition (DIA) coupled high-field asymmetric waveform ion mobility spectrometer (FAIMS) interface, an optimized library-free DIA database search strategy. Our systematic evaluation FAIMS-DIA showing compensation voltage (CV) at -35 V not only yields the deepest proteome but also best correlates without FAIMS. in-depth comparison direct-DIA engines shows that Spectronaut outperforms others, providing highest quantifiable proteins. Next, apply three common strategies characterizing human induced pluripotent stem cell (iPSC)-derived neurons show single-shot mass spectrometry (MS) using single-CV (-35 V)-FAIMS-DIA results >9,000 proteins <10% missing values, as well superior reproducibility accuracy compared other existing methods.

Language: Английский

Citations

22

Proteomic analysis of serum extracellular vesicles reveals Fibulin-3 as a new marker predicting liver-related events in MASLD DOI Creative Commons
Sadatsugu Sakane, Hayato Hikita,

Kumiko Shirai

et al.

Hepatology Communications, Journal Year: 2024, Volume and Issue: 8(6)

Published: June 1, 2024

Background: There is a need for novel noninvasive markers metabolic dysfunction–associated steatotic liver disease (MASLD) to stratify patients at high risk liver-related events including cancer and decompensation. In the present study, we used proteomic analysis of proteins in extracellular vesicles (EVs) identify new biomarkers that change with fibrosis progression can predict development events. Methods: We analyzed serum EVs from 50 MASLD assessed by biopsy identified altered advanced fibrosis. A further evaluation was conducted on another cohort 463 biopsy. Results: Eight candidate were EVs. Among them, levels Fibulin-3, Fibulin-1, Ficolin 1 correlated their EV levels. addition, Fibulin-3 Fibulin-1 changed significantly Using biopsy, found concentration greater those but not different. Multivariate Cox proportional hazards revealed higher Fibrosis-4 (FIB-4) index independent factors When cutoff value 6.0 µg/mL according Youden AUROCs, more frequently developed than did other patients. Validation using 226 clinically diagnosed confirmed are associated frequency Conclusions: Serum as biomarker predicting MASLD.

Language: Английский

Citations

7

Extracellular vesicle proteome unveils cathepsin B connection to Alzheimer’s disease pathogenesis DOI Creative Commons

Kohei Yuyama,

Hui Sun,

Risa Fujii

et al.

Brain, Journal Year: 2023, Volume and Issue: 147(2), P. 627 - 636

Published: Dec. 10, 2023

Abstract Extracellular vesicles (EVs) are membrane that released extracellularly and considered to be implicated in the pathogenesis of neurodegenerative diseases including Alzheimer’s disease. Here, CSF EVs 16 ATN-classified cases were subjected quantitative proteome analysis. In these EVs, levels 11 proteins significantly altered during ATN stage transitions (P &lt; 0.05 fold-change &gt; 2.0). These thought associated with disease represent candidate biomarkers for pathogenic classification. Enzyme-linked immunosorbent assay analysis plasma revealed cathepsin B (CatB) transition (seven groups validation set, n = 136). The EV CatB showed a negative correlation amyloid-β42 concentrations. This proteomic landscape classifications can depict molecular framework progression, may promising biomarker therapeutic target amyloid pathology.

Language: Английский

Citations

15