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Extracellular Vesicles and Exosomes as Therapeutic Agents

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cell Biology and Pathology".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 20498

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Stritch School of Medicine, Core Microscopy Facility and Department of Microbiology and Immunology, Loyola University Chicago, Chicago, IL USA
Interests: neurodegenerative disease; addiction; microscopy; senescence; therapeutics
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Special Issue Information

Dear Colleagues,

Extracellular vesicles (EVs) are lipid-bound vesicles secreted by cells into the extracellular space. The three main subtypes of EVs—microvesicles, exosomes, and apoptotic bodies—are differentiated based on their biogenesis, release pathway, size, content, and function. The content or “cargo” of EVs include nucleic acids, lipids, proteins, and metabolites. The role of EVs in cell–cell communication and their ability to act as carriers of biomarkers for diseases are well-established. EVs are widely considered as promising therapeutic options because they have a long circulating half-life, are tolerated well by the human body, are capable of penetrating cell membranes and targeting specific cell types, and have the capacity to be engineered. Indeed, the use of EVs (predominantly exosomes) as therapeutic agents and/or drug-delivery systems in neurodegenerative diseases, cancers, stroke, myocardial infarction, and several other pathologies has been the subject of intense research. Despite recent advances, a better understanding of the mechanisms by which EVs function would help unlock the full potential of EV-based therapeutics. This Special Issue welcomes articles focused on the use of EVs—including exosomes—as therapeutic agents, with a focus on articles that provide a better understanding of the uptake, biodistribution, and trafficking of EVs or elucidate the mechanisms by which EVs exert their therapeutic effects.

Dr. David J. Rademacher
Guest Editor

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Keywords

  • extracellular vesicles
  • exosomes
  • therapeutics
  • drug delivery
  • bioengineering

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Published Papers (9 papers)

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18 pages, 6624 KiB  
Article
Lyophilized Small Extracellular Vesicles (sEVs) Derived from Human Adipose Stem Cells Maintain Efficacy to Promote Healing in Neuronal Injuries
by Brianna Jones, Rekha Patel, Bangmei Wang, Theresa Evans-Nguyen and Niketa A. Patel
Biomedicines 2025, 13(2), 275; https://doi.org/10.3390/biomedicines13020275 - 23 Jan 2025
Viewed by 699
Abstract
Background: Traumatic brain injury (TBI) occurs in individuals of all ages, predominantly during sports, accidents, and in active military service members. Chronic consequences of TBI include declined cognitive and motor function, dementia, and emotional distress. Small extracellular vesicles (sEVs), previously referred to as [...] Read more.
Background: Traumatic brain injury (TBI) occurs in individuals of all ages, predominantly during sports, accidents, and in active military service members. Chronic consequences of TBI include declined cognitive and motor function, dementia, and emotional distress. Small extracellular vesicles (sEVs), previously referred to as exosomes, are nano-sized lipid vesicles that play a role in intercellular communication. Our prior research established the efficacy of sEVs derived from human adipose stem cells (hASC sEVs) in accelerating the healing of brain injuries. The hASC sEVs are a biologic therapeutic and need to be stored at −20 °C or −80 °C. This limits their use in translating to everyday use in clinics or their inclusion in first-aid kits for application immediately after injury. To address this, here we demonstrate that hASC sEVs can be stored at room temperature (RT) for two months post lyophilization. Methods: A transmission electron microscope (TEM) and nanoparticle tracking analysis (NTA) were used to validate the morphology of lyophilized RT sEVs. Using in vitro models of neuronal injury mimicking physical injury, inflammation, and oxidative stress, we demonstrate that lyophilized RT hASC sEVs are viable and promote the healing of neuronal injuries. Results: The lyophilized sEVs maintain their purity, size, and morphology upon rehydration. Lyophilized, RT stored sEVs showed better efficacy after two months compared with −80 °C stored sEVs. Conclusions: RT storage of lyophilized hASC sEVs maintains their efficacy to accelerate the healing of injuries in neuronal cells. This will advance the use of hASC sEVs, bringing them closer to use in clinics, home first-aid kits, and on battlefields by active service members. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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Figure 1

Figure 1
<p>Schematic of the three processes that occur during lyophilization. The publication license can be found in <a href="#app1-biomedicines-13-00275" class="html-app">Supplementary File S2</a> (Created in BioRender. Jones, B. (2024) <a href="https://BioRender.com/s06h883" target="_blank">https://BioRender.com/s06h883</a>; accessed on 15 December 2024).</p>
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<p>NTA and TEM data showing the sizes and concentrations of sEVs isolated from hASCs. (<b>A</b>) sEV elution from ExoSpin column showing an average size of 80.3 nm and concentration of 9.84 × 10<sup>8</sup> particles/mL. (<b>B</b>) sEV elution from qEV column showing a peak size of 145 nm and concentration of 9.20 × 10<sup>7</sup> particles/mL. Measurements in triplicate for each sample. (<b>C</b>) TEM image showing hASC sEVs extracted from a qEV column at 40 k× and 80 k× magnification. Scale bar = 500 nm and 200 nm, respectively.</p>
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<p>TEM images of −80 °C sEVs and lyophilized sEVs at low and high magnifications and NTA data showing the sizes of the −80 °C sEVs and lyophilized sEVs after 2 weeks, 1 month, and 2 months. (<b>A</b>) NTA data showing sizes of hASC sEVs after 2 weeks of storage. (<b>B</b>) NTA data showing sizes of hASC sEVs after 1 month of storage. (<b>C</b>) NTA data showing sizes of hASC sEVs after 2 months of storage. (<b>D</b>) TEM images of sEVs after 2 weeks of storage. (<b>E</b>) TEM images of sEVs after 1 month of storage. (<b>F</b>) TEM images of sEVs after 2 months of storage. (<b>G</b>) NTA data and TEMs of lyophilized sEVs without trehalose after 2 weeks of storage. For 40 k× images, the scale bar = 500 nm. For 50 k×, 80 k×, and 100 k× images, the scale bar = 200 nm. For 150 k× images, the scale bar = 100 nm.</p>
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<p>Cellular uptake and wound closure comparison of −80 °C sEVs and lyophilized RT sEVs at two weeks in HT22 cells. (<b>A</b>) Cellular uptake of DiD and DiD-labeled sEVs over 24 h, imaged at 40× (scale bar = 25 µm). (<b>B</b>) Graphical comparison of DiD intensity. The images for DiD, DAPI, and the overlay are all images of the same section of cells. DiD is being used to stain the sEVs in this study, while DAPI stains the nuclei of the cells. The overlay shows both DiD and DAPI in one image together to visualize how well the DiD-labeled sEVs are taken up by the cells. A high cell colocalization with sEV indicates that a higher number of sEVs are making their way into the cells. Statistical analysis was performed by ANOVA analysis, with no significant differences between −80 °C stored sEVs compared with lyophilized RT sEVs with trehalose. (<b>C</b>) Scratch assay over 24 h, imaged at 4×. (<b>D</b>) Comparison of % wound closure and rate of cell migration between samples. The images in each column shown in the figure demonstrate a scratch in the HT22 cells at different time intervals. The scratch shown at each time interval is the same scratch in the same section of cells to demonstrate how each treatment affects the ability of the cells to close the wound gap. A high % wound closure indicates how well the sEVs are repairing the damage to the cells. Statistical analysis was performed by ANOVA analysis (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and **** <span class="html-italic">p</span> ≤ 0.0001, no significance (ns)).</p>
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<p>Cellular uptake and wound closure comparison of −80 °C sEVs and lyophilized RT sEVs at one month in HT22 cells. (<b>A</b>) Cellular uptake of DiD-labeled sEVs over 24 h, imaged at 40× (scale bar = 25 µm). (<b>B</b>) Graphical comparison of DiD intensity. The images for DiD, DAPI, and the overlay are all images of the same section of cells. DiD is being used to stain the sEVs in this study, while DAPI stains the nuclei of the cells. The overlay shows both DiD and DAPI in one image together to help visualize how well the DiD-labeled sEVs are taken up by the cells. A high cell colocalization with sEVs indicates that a higher number of sEVs are making their way into the cells. Statistical analysis was performed by two-tailed Student’s <span class="html-italic">t</span>-test, no significance (ns). (<b>C</b>) Scratch assay over 24 h, imaged at 4×. (<b>D</b>) Comparison of % wound closure and rate of cell migration between samples. The images in each column shown in the figure demonstrate a scratch in the HT22 cells at different time intervals. The scratch shown at each time interval is the same scratch in the same section of cells to demonstrate how each treatment affects the ability of the cells to close the wound gap. A high % wound closure indicates how well the sEVs are repairing the damage to the cells. Statistical analysis was performed by ANOVA analysis ** <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Cellular uptake and wound closure comparison of −80 °C sEVs and lyophilized RT sEVs at two months in HT22 cells. (<b>A</b>) Cellular uptake of DiD-labeled sEVs over 24 h, imaged at 40× (scale bar = 25 µm). (<b>B</b>) Graphical comparison of DiD intensity. The images for DiD, DAPI, and the overlay are all images of the same section of cells. DiD is being used to stain the sEVs in this study, while DAPI stains the nuclei of the cells. The overlay shows both DiD and DAPI in one image together to help visualize how well the DiD-labeled sEVs are taken up by the cells. A high cell colocalization with sEV indicates that a higher number of sEVs are making their way into the cells. Statistical analysis was performed by two-tailed Student’s <span class="html-italic">t</span>-test, no significance (ns). (<b>C</b>) Scratch assay over 24 h, imaged at 4×. (<b>D</b>) Comparison of % wound closure and rate of cell migration between samples after 16 h. Statistical analysis was performed by two-tailed Student’s <span class="html-italic">t</span>-test. (<b>E</b>) Comparison of % wound closure and rate of cell migration between samples after 24 h. The images in each column shown in the figure demonstrate a scratch in the HT22 cells at different time intervals. The scratch shown at each time interval is the same scratch in the same section of cells to demonstrate how each treatment affects the ability of the cells to close the wound gap. A high % wound closure indicates how well the sEVs are repairing the damage to the cells. Statistical analysis was performed by ANOVA analysis *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> ≤ 0.0001.</p>
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<p>Immunochemistry assay of HT22 cells treated with 5 ng/mL LPS for 6 h, after which the medium was changed, and the cells were treated with 2 µg of sEVs for 18 h. (<b>A</b>) Cells were stained using Ki-67 as a marker for proliferation and DAPI as a nucleus stain and imaged with a Keyence BZx-810 microscope at 20× (scale bar = 50 µm). (<b>B</b>) Determination of colocalization of Ki-67 and DAPI was determined using the Keyence software. The images for Ki67, DAPI, and the overlay are all images of the same section of cells. Ki67 stains proliferating cells, while the DAPI stains the nuclei of the cells. The overlay shows both the Ki67 and DAPI in one image together to visualize cell proliferation occurring from each treatment. Statistical analysis was performed by ANOVA analysis (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and **** <span class="html-italic">p</span> ≤ 0.0001).</p>
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<p>Immunochemistry assay of HT22 cells treated with 1:1000 hydrogen peroxide for 1 h, after which the medium was changed, and the cells were treated with 2 µg of lyophilized sEVs for 18 h. (<b>A</b>) Cells were stained using Ki-67 as a marker for proliferation and DAPI as a nucleus stain and imaged with a Keyence BZx-810 microscope at 20× (scale bar = 50 µm). (<b>B</b>) Determination of colocalization of Ki-67 and DAPI was determined using the Keyence software. The image for Ki67, DAPI, and the overlay are all images of the same section of cells. Ki67 stains proliferating cells, while the DAPI stains the nuclei of the cells. The overlay shows both the Ki67 and DAPI in one image together to visualize cell proliferation occurring from each treatment. Statistical analysis was performed by ANOVA analysis (** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> ≤ 0.0001).</p>
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14 pages, 3680 KiB  
Article
Grapefruit-Derived Vesicles Loaded with Recombinant HSP70 Activate Antitumor Immunity in Colon Cancer In Vitro and In Vivo
by Luiza Garaeva, Elena Komarova, Svetlana Emelianova, Elena Putevich, Andrey L. Konevega, Boris Margulis, Irina Guzhova and Tatiana Shtam
Biomedicines 2024, 12(12), 2759; https://doi.org/10.3390/biomedicines12122759 - 3 Dec 2024
Viewed by 1069
Abstract
Background/Objectives: Stress protein HSP70 administered exogenously has demonstrated high potential as an efficient adjuvant in antitumor immune response. To enhance the antigen-presenting activity, bioavailability, and stability of exogenous recombinant human HSP70, we propose incorporating it into plant extracellular vesicles. Earlier, we found that [...] Read more.
Background/Objectives: Stress protein HSP70 administered exogenously has demonstrated high potential as an efficient adjuvant in antitumor immune response. To enhance the antigen-presenting activity, bioavailability, and stability of exogenous recombinant human HSP70, we propose incorporating it into plant extracellular vesicles. Earlier, we found that grapefruit-derived extracellular vesicles (GEV) were able to store the protein with no loss of its major function, chaperone activity. Methods: In this study, we tested whether HSP70 loaded into GEV (GEV-HSP70) could elicit an antitumor immune response in cellular and animal models of colorectal cancer. Results: To test the hypothesis in vitro, human and mouse colorectal cancer cell lines were used. We have shown that the addition of HSP70, either in free form or as part of GEVs, increases the sensitivity of human (HCT-116, DLD1) or mouse (CT-26) colon cancer cells to mouse cytotoxic lymphocytes and human NK-92 cells. Moreover, the amount of protein in the form of GEV-HSP70 required to cause the same activation of antitumor immunity was 20 times less than when HSP70 was added in free form. In a colon carcinoma model in vivo, GEV-HSP70 were inoculated subcutaneously into BALB/c mice together with CT-26 cells to form a tumor node. As compared with the control groups, we observed an increase in the lifespan of animals and a decrease in the tumor size, as well as a decrease in the level of TGFB1 IL-10 factors in the blood plasma. In vitro analysis of the immunomodulatory activity of GEV-HSP70 showed that antitumor response in GEV-HSP70-treated mice was associated with the accumulation of CD8+ cells. Conclusions: These results demonstrate the high feasibility and efficacy of the new technique based on HSP70 encapsulated in plant vesicles in activation of the specific response to colon tumors. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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Figure 1
<p>Size, concentration, and morphology of grapefruit-derived vesicles before (GEV) and after loading procedure (GEV-HSP70). (<b>A</b>,<b>B</b>) Typical examples of nanoparticle tracking analysis (NTA) of the sample of isolated GEV (<b>A</b>) and GEV-HSP70 (<b>B</b>). (<b>C</b>,<b>D</b>) Cryo-EM images of GEV (<b>C</b>) or GEV-HSP70 (<b>D</b>). White arrows indicate vesicles with intact membrane, red arrows indicate vesicles with broken membrane, and black arrows—debris in the sample. The blue arrows depict a lipid bilayer membrane of the vesicle. Scale bars are 50 nm. Inset–size distribution histogram. A total of 100 particles were analyzed. (<b>E</b>,<b>F</b>) Loading efficiency of GEV with HSP70 protein: (<b>E</b>) Example of Western blot (WB) of HSP70 in the initial GEV (line 7) and GEV-HSP70 (lines 5,6) in an amount of 10<sup>11</sup> particles per line. Recombinant HSP70 in an amount from 0.2 μg to 2 μg per line (lines 1–4). (<b>F</b>) Cumulative quantification of HSP70 loaded into GEV obtained from WB.</p>
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<p>Effect of free HSP70 and GEV-HSP70 on the proliferative activity of human and murine colon cancer cells when attacked by cytotoxic lymphocytes (CTL) from naïve C3HA mice or human NK-92 cells. (<b>A</b>,<b>B</b>) GEV-HSP70 increases the sensitivity of human colon cancer cells to the NK cells action: HCT-116 (<b>A</b>) and DLD1 (<b>B</b>) cells were seeded to wells of E-plate and incubated or not with GEV-HSP70 for 24 h, and then NK-92 cells were added into wells. Recoding on xCELLigence equipment lasted 45 h. (<b>C</b>–<b>F</b>) Effect of free and GEV-loaded HSP70 on the proliferative activity of CT-26 cells when attacked by CTL from naïve C3HA mice or human NK-92 cells. (<b>C</b>,<b>E</b>) Proliferative activity of CT-26 cells preincubated with HSP70 (10 μg), GEV (0 μg HSP70), and GEV-HSP70 (about 0.5 μg HSP70) when exposed to the CTL. (F,H). Proliferative activity of CT-26 cells preincubated with HSP70 (10 μg or 1 μg), GEV (0 μg HSP70), and GEV-HSP70 (about 0.5 μg HSP70) upon exposure to NK-92 cells. Addition of rHSP70, GEV-HSP70, and naïve GEVs at 24 h of incubation, addition of effector cells at 40 h of incubation. For the (<b>E</b>,<b>F</b>) panels, the last observation time point was chosen for analysis. In panels (<b>A</b>–<b>D</b>), the normalization point for the proliferation curves is chosen to correspond to the time point of effector cells. Pairwise multiple comparisons were performed using ANOVA with Tukey’s posterior test. A statistically significant difference between the is indicated as **** for <span class="html-italic">p</span> &lt; 0.0001, *** for <span class="html-italic">p</span> ≤ 0.0005, * for <span class="html-italic">p</span> &lt; 0.05, ns—not statistically significant.</p>
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<p>Antitumor effect of HSP70 and GEV-HSP70 in a mouse model of colorectal carcinoma. (<b>A</b>) Analysis of the growth rate of the tumor node during the 21st day of observation in 4 groups of animals after inoculation of CT-26 cells (Untreated) or CT-26 cells mixed with GEV, GEV-HSP70 (2 μg HSP70/dose), and with HSP70 (50 μg/dose) (N = 8) (<b>B</b>,<b>C</b>) Twenty-one days after CT-26 cells inoculation tumors were isolated, photographed (<b>B</b>) and weighed (<b>C</b>) (N = 8). (<b>D</b>,<b>E</b>) Analysis of the tumor size by the intravital luminescence imaging system (N = 5). (<b>F</b>) Life expectancy of animals in control and experimental groups (N = 10). Legend *** for <span class="html-italic">p</span> ≤ 0.0005, ** for <span class="html-italic">p</span> ≤ 0.005, * for <span class="html-italic">p</span> &lt; 0.05, ns—not statistically significant.</p>
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<p>GEV-HSP70 and free HSP70 induce a specific antitumor immune response in the CT-26 mouse model of colorectal carcinoma. (<b>A</b>,<b>B</b>) Assessment of the concentration of cytokines IL-10 and TGFB-1 in the blood plasma of mice 21 days after inoculation with CT-26 cells (Untreated), CT-26 cells mixed with GEV, GEV-HSP70 (about 2 μg HSP70/dose) or HSP70 (50 μg/dose) (N = 5). (<b>C</b>) Proliferative activity of CT-26 cells when exposed to the total fraction of lymphocytes isolated from the spleens of mice of experimental and control groups. (<b>D</b>) The influence of the lymphocyte fraction depleted of CD8+ T-lymphocytes on the proliferative activity of CT-26 cells. (<b>E</b>) Cytostatic effect of CD8+ T lymphocytes from mice from experimental and control groups on the proliferation of CT-26 cells (N = 5). Pairwise multiple comparisons were performed using ANOVA with Tukey’s posterior test. <span class="html-italic">p</span> &lt; 0.0001 = ****, <span class="html-italic">p</span> ≤ 0.0005 = ***, <span class="html-italic">p</span> ≤ 0.005 = **, ns—not statistically significant.</p>
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16 pages, 6155 KiB  
Article
Artificial Extracellular Vesicles Generated from T Cells Using Different Induction Techniques
by Ekaterina A. Zmievskaya, Sabir A. Mukhametshin, Irina A. Ganeeva, Elvina M. Gilyazova, Elvira T. Siraeva, Marianna P. Kutyreva, Artur A. Khannanov, Youyong Yuan and Emil R. Bulatov
Biomedicines 2024, 12(4), 919; https://doi.org/10.3390/biomedicines12040919 - 20 Apr 2024
Cited by 4 | Viewed by 2076
Abstract
Cell therapy is at the forefront of biomedicine in oncology and regenerative medicine. However, there are still significant challenges to their wider clinical application such as limited efficacy, side effects, and logistical difficulties. One of the potential approaches that could overcome these problems [...] Read more.
Cell therapy is at the forefront of biomedicine in oncology and regenerative medicine. However, there are still significant challenges to their wider clinical application such as limited efficacy, side effects, and logistical difficulties. One of the potential approaches that could overcome these problems is based on extracellular vesicles (EVs) as a cell-free therapy modality. One of the major obstacles in the translation of EVs into practice is their low yield of production, which is insufficient to achieve therapeutic amounts. Here, we evaluated two primary approaches of artificial vesicle induction in primary T cells and the SupT1 cell line—cytochalasin B as a chemical inducer and ultrasonication as a physical inducer. We found that both methods are capable of producing artificial vesicles, but cytochalasin B induction leads to vesicle yield compared to natural secretion, while ultrasonication leads to a three-fold increase in particle yield. Cytochalasin B induces the formation of vesicles full of cytoplasmic compartments without nuclear fraction, while ultrasonication induces the formation of particles rich in membranes and membrane-related components such as CD3 or HLAII proteins. The most effective approach for T-cell induction in terms of the number of vesicles seems to be the combination of anti-CD3/CD28 antibody activation with ultrasonication, which leads to a seven-fold yield increase in particles with a high content of functionally important proteins (CD3, granzyme B, and HLA II). Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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Figure 1
<p>The scheme of the experiment includes the induction of artificial vesicles from primary T lymphocytes and SupT1 cell line with two methods under investigation and further comprehensive study of obtained vesicles.</p>
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<p>Scheme of experiments with primary T cells. Two types of cell sources were used—resting and activated T cells. Additionally, two types of induction were tested—chemical induction with cytochalasin B and physical induction with ultrasonication. Naturally secreted vesicles were used as a control.</p>
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<p>Size distribution measured by nanoparticle tracking analysis of vesicle samples generated from T cells: (<b>A</b>) MVs (naturally secreted from resting T cells); (<b>B</b>) AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); (<b>C</b>) AVs US (artificial vesicles generated with ultrasonication from resting T cells); (<b>D</b>) aMVs (MVs secreted by activated T cells); (<b>E</b>) AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); (<b>F</b>) AVs aUS (artificial vesicles generated with ultrasonication from activated T cells).</p>
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<p>Comparison of yields and sizes of microvesicles generated using different induction techniques: (<b>A</b>) calculated microvesicle yields (number) per donor primary T cell (calculation is based on concentration measured by nanoparticle tracking analysis); (<b>B</b>) mean and mode microvesicle sizes measured by nanoparticle tracking analysis. MVs (naturally secreted from resting T cells); AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); AVs US (artificial vesicles generated with ultrasonication from resting T cells); aMVs (MVs secreted by activated T cells); AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); AVs aUS (artificial vesicles generated with ultrasonication from activated T cells). All samples were analyzed in five repetitions.</p>
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<p>Images of microvesicle samples obtained by atomic force microscopy: (<b>A</b>) MVs (naturally secreted from resting T cells); (<b>B</b>) AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); (<b>C</b>) AVs US (artificial vesicles generated with ultrasonication from resting T cells); (<b>D</b>) aMVs (MVs secreted by activated T cells); (<b>E</b>) AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); (<b>F</b>) AVs aUS (artificial vesicles generated with ultrasonication from activated T cells).</p>
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<p>Adhesion and deformation properties of various microvesicles obtained by atomic force microscopy: (<b>A</b>) relative adhesion of microvesicles; (<b>B</b>) relative deformation of microvesicles, <span class="html-italic">n</span> = 85–220 depending on the sample. MVs (naturally secreted from resting T cells); AVs ChB (artificial vesicles generated with cytochalasin B from resting T cells); AVs US (artificial vesicles generated with ultrasonication from resting T cells); aMVs (MVs secreted by activated T cells); AVs aChB (artificial vesicles generated with cytochalasin B from activated T cells); AVs aUS (artificial vesicles generated with ultrasonication from activated T cells). <span class="html-italic">p</span>-value &lt; 0.05 is marked *, <span class="html-italic">p</span> &lt; 0.01 is marked **, and <span class="html-italic">p</span> &lt; 0.001 is marked ***.</p>
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<p>Transfer of SupT1 cytoplasmic compartments to AVs measured by fluorometric assay. ChB 10, ChB 5, and ChB 2.5 refer to AV samples obtained by cytochalasin B induction of cell suspensions diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. US 10, US 5, US 2.5 refer to AV samples obtained by ultrasonication induction of cell suspensions diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. All other samples were prepared from 5 × 10<sup>6</sup> cells/mL SupT1 suspension. Unst—vesicles obtained from unstained cells; DPBS—clear DPBS; DiI or Calcein—DPBS with dye at concentration used for staining: (<b>A</b>) fluorescence of DiI in samples obtained from different cell dilutions; (<b>B</b>) fluorescence of Calcein in samples obtained from different cell dilutions; (<b>C</b>) Calcein fluorescence normalized to lipid level; (<b>D</b>) lipid level normalized to total protein concentration; (<b>E</b>) Calcein fluorescence normalized to total protein concentration; (<b>F</b>) protein concentration in native samples obtained from different cell dilutions. All samples were analyzed in triplets. <span class="html-italic">p</span>-value &lt; 0.05 is marked *, <span class="html-italic">p</span> &lt; 0.01 is marked **, and <span class="html-italic">p</span> &lt; 0.001 is marked ***.</p>
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<p>Transfer of SupT1 cytoplasmic fluorescent protein Katushka2S and nuclei to AVs measured by fluorometric assay: (<b>A</b>–<b>C</b>) Fluorometric data of Katushka2S transfer into AVs; ChB 10, ChB 5, and ChB 2.5 refer to AV samples induced with cytochalasin B from cell suspension diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. US 10, US 5, and US 2.5 refer to AV samples induced with ultrasonication from cell suspension diluted to 10 × 10<sup>6</sup> cells/mL, 5 × 10<sup>6</sup> cells/mL, or 2.5 × 10<sup>6</sup> cells/mL, respectively. All other samples were obtained from SupT1 cells at 5 × 10<sup>6</sup> cells/mL. (<b>D</b>–<b>F</b>) Fluorometric data of AVs, stained by Hoechst33258 for detection of double-strand DNA. DPBS—clear DPBS; ChB unst, US unst—samples of vesicles, obtained from non-fluorescent or unstained cells; Hoechst—DPBS with dye at concentration used for staining. All samples were analyzed in triplets. <span class="html-italic">p</span>-value &lt; 0.05 is marked *, <span class="html-italic">p</span> &lt; 0.01 is marked **, and <span class="html-italic">p</span> &lt; 0.001 is marked ***.</p>
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<p>Transfer of SupT1 cell compartment into AVs measured by immunoblotting analysis: (<b>A</b>) immunoblotting analysis of calnexin (endoplasmic reticulum marker); (<b>B</b>) immunoblotting analysis of Hsp70 (cytosolic marker); (<b>C</b>) immunoblotting analysis of lamin B1 (nuclear marker). Data include immunoblotting images, calculated levels of the normalized target protein, and β-actin.</p>
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<p>Functionally important proteins (CD3, granzyme B, and HLA II) presented in different types of AVs, obtained from resting T cells (MVs, AVs ChB, and AVs US) or activated T cells (aMVs, AVs aChB, and AVs aUS): (<b>A</b>) immunoblotting analysis of CD3; (<b>B</b>) immunoblotting analysis of granzyme B; (<b>C</b>) immunoblotting analysis of HLA II. Data include immunoblotting images, calculated levels of the normalized target protein, and β-actin.</p>
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<p>Formation of artificial vesicles from T cells using physical induction by ultrasonication and chemical induction by cytochalasin B. Ultrasonication causes disruption of the cell membrane with partial leakage of cell contents, while membrane proteins are transferred to vesicles. Cytochalasin B induces vesiculation from the cell surface with effective intracellular transfer of cytoplasmic contents. In both cases, functional components such as granzyme B are transferred to the resulting vesicles.</p>
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28 pages, 6431 KiB  
Article
Extracellular Vesicles Derived from Osteogenic-Differentiated Human Bone Marrow-Derived Mesenchymal Cells Rescue Osteogenic Ability of Bone Marrow-Derived Mesenchymal Cells Impaired by Hypoxia
by Chenglong Wang, Sabine Stöckl, Girish Pattappa, Daniela Schulz, Korbinian Hofmann, Jovana Ilic, Yvonne Reinders, Richard J. Bauer, Albert Sickmann and Susanne Grässel
Biomedicines 2023, 11(10), 2804; https://doi.org/10.3390/biomedicines11102804 - 16 Oct 2023
Viewed by 1671
Abstract
In orthopedics, musculoskeletal disorders, i.e., non-union of bone fractures or osteoporosis, can have common histories and symptoms related to pathological hypoxic conditions induced by aging, trauma or metabolic disorders. Here, we observed that hypoxic conditions (2% O2) suppressed the osteogenic differentiation [...] Read more.
In orthopedics, musculoskeletal disorders, i.e., non-union of bone fractures or osteoporosis, can have common histories and symptoms related to pathological hypoxic conditions induced by aging, trauma or metabolic disorders. Here, we observed that hypoxic conditions (2% O2) suppressed the osteogenic differentiation of human bone marrow-derived mesenchymal cells (hBMSC) in vitro and simultaneously increased reactive oxygen species (ROS) production. We assumed that cellular origin and cargo of extracellular vesicles (EVs) affect the osteogenic differentiation capacity of hBMSCs cultured under different oxygen pressures. Proteomic analysis revealed that EVs isolated from osteogenic differentiated hBMSC cultured under hypoxia (hypo-osteo EVs) or under normoxia (norm-osteo EVs) contained distinct protein profiles. Extracellular matrix (ECM) components, antioxidants and pro-osteogenic proteins were decreased in hypo-osteo EVs. The proteomic analysis in our previous study revealed that under normoxic culture conditions, pro-osteogenic proteins and ECM components have higher concentrations in norm-osteo EVs than in EVs derived from naïve hBMSCs (norm-naïve EVs). When selected for further analysis, five anti-hypoxic proteins were significantly upregulated (response to hypoxia) in norm-osteo EVs. Three of them are characterized as antioxidant proteins. We performed qRT-PCR to verify the corresponding gene expression levels in the norm-osteo EVs’ and norm-naïve EVs’ parent cells cultured under normoxia. Moreover, we observed that norm-osteo EVs rescued the osteogenic ability of naïve hBMSCs cultured under hypoxia and reduced hypoxia-induced elevation of ROS production in osteogenic differentiated hBMSCs, presumably by inducing expression of anti-hypoxic/ antioxidant and pro-osteogenic genes. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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<p>Overview of experimental set-up; EVs = extracellular vesicles.</p>
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<p>Characterization of the EV groups. (<b>A</b>,<b>B</b>) Representative particle size distribution of hypo-osteo EVs and norm-osteo EVs was measured by NTA; n = 3. (<b>C</b>,<b>D</b>) Quantitative comparison between hypo-osteo EVs and norm-osteo EVs in count and size measured; n = 3. (<b>E</b>,<b>F</b>) Uptake of EVs by naïve hBMSCs. PKH26-labeled hypo-osteo EVs (<b>E</b>) and norm-osteo EVs (<b>F</b>) were internalized by naïve hBMSCs and visualized with fluorescence microscopy. Cell nuclei were stained with DAPI, and structure of the cytoskeleton was visualized with Phalloidin staining. 20 × 10 magnification; Scale bar 100 μm; n = 3. (<b>G</b>) Western blot image showing bands of standard surface markers (CD9, CD81 and CD63) of hypo-osteo EVs and norm-osteo EVs; n = 3; Pat. = patient. (<b>H</b>–<b>J</b>) Relative quantitation of western blot image band intensities; n = 3. (<b>K</b>) The expression/level ratio of CD9, CD81 and CD63 proteins in hypo-osteo EVs was compared with that in norm-osteo EVs (proteomics data); n = 3. Results were calculated as percentage of the unstimulated control group (norm-osteo EVs, shown by the dotted line); * = <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Evaluation of osteogenic differentiation ability of naïve hBMSCs under hypoxia and normoxia. (<b>A</b>) Alizarin Red staining of hBMSCs after 3 weeks of osteogenic differentiation under hypoxia or normoxia. Shown are the individual results from five different donors. Macroscopic view (scale bar 1 cm); n = 5; Pat. = patient. (<b>B</b>) Quantification of Alizarin Red staining; n = 5. (<b>C</b>) Quantification of Alkaline Phosphatase (ALP) activity of hBMSCs after 2 weeks of osteogenic differentiation under hypoxia or normoxia; n = 5. (<b>D</b>) Representative Western blot images of HIF-1α and RUNX2 after 2 weeks of osteogenic differentiation of hBMSCs under hypoxia and normoxia; n = 4. (<b>E</b>,<b>F</b>) Relative quantitation of Western blot image band intensities relative to Histone H3; n = 4. Results were calculated as percentage of the unstimulated control group (osteogenic differentiation of hBMSCs under normoxia, shown by the dotted line); * = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01; *** = <span class="html-italic">p</span> &lt; 0.001; **** = <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Venn diagram of total proteins and heatmap of distinct proteins identified in hypo-osteo EVs and norm-osteo EVs. (<b>A</b>) The distinct profiles (Venn diagram) of total proteins in hypo-osteo EVs and norm-osteo EVs; n = 3. (<b>B</b>) The distinct protein (more than 2-fold change) profiles of norm-osteo EVs and hypo-osteo EVs (heatmap); n = 3. The color code indicates the log2 (FC) difference of the proteins for those two EV groups: red means enriched in EVs, and blue means depleted in EVs.</p>
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<p>Functional enrichment analysis of distinct regulated and downregulated proteins in hypo-osteo EVs compared with that in norm-osteo EVs. Gene ontology (GO) analysis of the upregulated and downregulated biological processes (<b>A</b>), molecular functions (<b>B</b>), hypo-osteo EVs compared with that in norm-osteo EVs for upregulated and downregulated proteins were clustered; n = 3. (<b>C</b>) Cellular components in hypo-osteo EVs compared with that in norm-osteo EVs with the KEGG (<b>D</b>) enrichment analyses data for upregulated and downregulated proteins were clustered; n = 3. KEGG = Kyoto Encyclopedia of Genes and Genomes. Pathways related to bone regeneration are marked with pink lines. BP = biological processes; MF = molecular functions; CC = cellular components. GO terms related to bone regeneration (ECM, osteogenesis, angiogenesis, ROS and adhesion) and EV are marked with different colored lines.</p>
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<p>Functional enrichment analysis of distinct regulated and downregulated proteins in hypo-osteo EVs compared with that in norm-osteo EVs. Gene ontology (GO) analysis of the upregulated and downregulated biological processes (<b>A</b>), molecular functions (<b>B</b>), hypo-osteo EVs compared with that in norm-osteo EVs for upregulated and downregulated proteins were clustered; n = 3. (<b>C</b>) Cellular components in hypo-osteo EVs compared with that in norm-osteo EVs with the KEGG (<b>D</b>) enrichment analyses data for upregulated and downregulated proteins were clustered; n = 3. KEGG = Kyoto Encyclopedia of Genes and Genomes. Pathways related to bone regeneration are marked with pink lines. BP = biological processes; MF = molecular functions; CC = cellular components. GO terms related to bone regeneration (ECM, osteogenesis, angiogenesis, ROS and adhesion) and EV are marked with different colored lines.</p>
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<p>Protein–protein interaction (PPI) network of the identified proteins and hub proteins in hypo-osteo EVs compared with that in norm-osteo EVs. (<b>A</b>) Interactions between upregulated and downregulated proteins in hypo-osteo EVs compared with that in norm-osteo EVs; n = 3; Red nodes indicate upregulated proteins and blue nodes indicate downregulated proteins. (<b>B</b>) The 20 most highly correlated hub proteins in PPI network. The colors indicate the strength of correlated hub proteins of top 20 hub proteins; red is the highest correlated hub. The top two hub proteins (EGFR and CTNNB1) are marked with blue circles and yellow boxes.</p>
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<p>Evaluation of osteogenic differentiation ability of hBMSCs after EV treatment under hypoxia. (<b>A</b>) Alizarin Red staining of hBMSCs after 3 weeks of osteogenic differentiation and simultaneous stimulation with the different EV groups (scale bar 1 cm); n = 6–7. (<b>B</b>) Quantification of Alizarin Red staining; n = 6–7. (<b>C</b>) Quantification of ALP activity of hBMSC after 2 weeks of osteogenic differentiation and simultaneous stimulation with the different EV groups under hypoxia; n = 7. (<b>D</b>) ROS production of hBMSCs after 2 weeks of osteogenic differentiation and simultaneous stimulation with the different EV groups under hypoxia; n = 8. (<b>E</b>–<b>I</b>) Gene expression of the osteogenic marker genes (RUNX2, BGLAP, ALP, COL1A1 and OPN) were analyzed after 2 weeks of osteogenic differentiation of hBMSCs and simultaneous treatment with the different EV groups under hypoxia; n = 5–6. Results were calculated as percentage of the negative control group (no EVs under hypoxia, shown by the dotted line). Difference to the negative control: * = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01; *** = <span class="html-italic">p</span> &lt; 0.001; difference between groups: <sup>#</sup>= <span class="html-italic">p</span> &lt; 0.05; <sup>##</sup> = <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Validation of selected proteomic data obtained from norm-naïve EVs and norm-osteo EVs by gene expression analysis of hBMSCs. (<b>A</b>) The expression/level ratio of the five identified anti-hypoxic proteins (CAV1, SFRP1, SOD3, HSP90B1 and AQP1) in norm-osteo EVs compared with that in norm-naïve EVs (proteomics data); n = 3. (<b>B</b>–<b>F</b>) Gene expression of the five anti-hypoxic genes (CAV1, SFRP1, SOD3, HSP90B1 and AQP1) were analyzed in hBMSCs after 35 days of osteogenic differentiation and in naïve hBMSCs both cultured under normoxia; n = 4–5. Results were calculated as percentage of the control group (naïve hBMSCs under normoxia, shown by the dotted line); * = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Evaluation of gene expression of the five anti-hypoxic proteins during osteogenic differentiation of hBMSCs under hypoxia after EVs stimulation. (<b>A</b>–<b>E</b>) Expression levels of the five anti-hypoxic genes were analyzed after 2 weeks of osteogenic differentiation in hBMSCs and simultaneous treatment with the different EV groups under hypoxia; n = 6–7. Results were calculated as percentage of the negative control group (no EVs under hypoxia, shown by the dotted line); Difference to the negative control: * = <span class="html-italic">p</span> &lt; 0.05; ** = <span class="html-italic">p</span> &lt; 0.01, ***= <span class="html-italic">p</span> &lt; 0.001.</p>
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14 pages, 3348 KiB  
Article
The Influence of Exercise-Associated Small Extracellular Vesicles on Trophoblasts In Vitro
by Shuhiba Mohammad, Jayonta Bhattacharjee, Velislava Tzaneva, Kelly Ann Hutchinson, Madeeha Shaikh, Danilo Fernandes da Silva, Dylan Burger and Kristi B. Adamo
Biomedicines 2023, 11(3), 857; https://doi.org/10.3390/biomedicines11030857 - 11 Mar 2023
Cited by 1 | Viewed by 2238
Abstract
Exercise induces the release of small extracellular vesicles (sEVs) into circulation that are postulated to mediate tissue cross-talk during exercise. We previously reported that pregnant individuals released greater levels of sEVs into circulation after exercise compared to matched non-pregnant controls, but their biological [...] Read more.
Exercise induces the release of small extracellular vesicles (sEVs) into circulation that are postulated to mediate tissue cross-talk during exercise. We previously reported that pregnant individuals released greater levels of sEVs into circulation after exercise compared to matched non-pregnant controls, but their biological functions remain unknown. In this study, sEVs isolated from the plasma of healthy pregnant and non-pregnant participants after a single bout of moderate-intensity exercise were evaluated for their impact on trophoblasts in vitro. Exercise-associated sEVs were found localized within the cytoplasm of BeWo choriocarcinoma cells, used to model trophoblasts in vitro. Exposure to exercise-associated sEVs did not significantly alter BeWo cell proliferation, gene expression of angiogenic growth factors VEGF and PLGF, or the release of the hormone human chorionic gonadotropin. The results from this pilot study support that exercise-associated sEVs could interact with trophoblasts in vitro, and warrant further investigation to reveal their potential role in communicating the effects of exercise to the maternal–fetal interface. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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<p>Exercise-associated sEVs were found within BeWo cells <span class="html-italic">in vitro</span>. Representative confocal microscopy images of BeWo cells after overnight (16 h) incubation with 2.5 µg/mL PKH26-labeled sEVs from pregnant (<b>A</b>) and non-pregnant (<b>B</b>) plasma post-exercise. Panel (<b>C</b>) shows a representative vehicle control image (PBS). Blue represents DAPI staining for nuclei, magenta depicts phalloidin staining, and green shows PKH26-labeled sEVs. “Magenta” and “Green” lookup tables were used to display phalloidin and sEV labeling, respectively. For each panel, orthogonal projections show the XY (main image), YZ (right of main image), and XZ (top image) planes. All images were taken using a 63× objective lens with oil immersion. Scale bar = 10 µm for all images.</p>
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<p>Exercise-associated sEVs did not affect BeWo cell proliferation. There were no differences in proliferation when no treatment (PBS Ctrl) was compared to treatment with exercise-associated sEVs from pregnant and non-pregnant individuals (F = 0.469, <span class="html-italic">p</span> = 0.642) (<b>A</b>). Representative merged fluorescence images of each condition (<b>B</b>) and a negative control (Neg Ctrl) where primary antibody was omitted are shown, where blue depicts DAPI staining for nuclei and green shows Ki67 positive signal. All experiments were conducted in triplicate, with sEVs obtained from <span class="html-italic">n</span> = 3 pregnant and <span class="html-italic">n</span> = 3 non-pregnant participants, with corresponding PBS controls (<span class="html-italic">n</span> = 5). Scale bar = 200 µm. Neg ctrl, negative control; PBS Ctrl, phosphate-buffered saline control.</p>
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<p>The effect of exercise-associated sEVs on relative gene expression of angiogenic growth factors and b-hCG production in BeWo cells. Gene expression of <span class="html-italic">VEGF</span> (<b>A</b>) and <span class="html-italic">PLGF</span> (<b>B</b>) was not altered upon exposure to circulating exercise-associated sEVs (10 µg/mL for 24 h) obtained from pregnant and non-pregnant individuals compared to PBS control (PBS Ctrl) treatment (F = 1.98, <span class="html-italic">p</span> = 0.200, and F = 0.726, <span class="html-italic">p</span> = 0.513, respectively). (<b>C</b>) There were no differences in b-hCG cell media levels when no treatment was compared to treatment with exercise-associated sEVs from pregnant and non-pregnant participants (F = 0.885, <span class="html-italic">p</span> = 0.450). All experiments were conducted in triplicate, with sEVs obtained from <span class="html-italic">n</span> = 3 pregnant and <span class="html-italic">n</span> = 3 non-pregnant participants, with corresponding PBS controls (<span class="html-italic">n</span> = 5).</p>
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14 pages, 1082 KiB  
Article
Antimicrobial and Immunomodulatory Potential of Cow Colostrum Extracellular Vesicles (ColosEVs) in an Intestinal In Vitro Model
by Samanta Mecocci, Livia De Paolis, Roberto Zoccola, Floriana Fruscione, Chiara Grazia De Ciucis, Elisabetta Chiaradia, Valentina Moccia, Alessia Tognoloni, Luisa Pascucci, Simona Zoppi, Valentina Zappulli, Giovanni Chillemi, Maria Goria, Katia Cappelli and Elisabetta Razzuoli
Biomedicines 2022, 10(12), 3264; https://doi.org/10.3390/biomedicines10123264 - 15 Dec 2022
Cited by 4 | Viewed by 2479
Abstract
Extracellular Vesicles (EVs) are nano-sized double-lipid-membrane-bound structures, acting mainly as signalling mediators between distant cells and, in particular, modulating the immune response and inflammation of targeted cells. Milk and colostrum contain high amounts of EVs that could be exploited as alternative natural systems [...] Read more.
Extracellular Vesicles (EVs) are nano-sized double-lipid-membrane-bound structures, acting mainly as signalling mediators between distant cells and, in particular, modulating the immune response and inflammation of targeted cells. Milk and colostrum contain high amounts of EVs that could be exploited as alternative natural systems in antimicrobial fighting. The aim of this study is to evaluate cow colostrum-derived EVs (colosEVs) for their antimicrobial, anti-inflammatory and immunomodulating effects in vitro to assess their suitability as natural antimicrobial agents as a strategy to cope with the drug resistance problem. ColosEVs were evaluated on a model of neonatal calf diarrhoea caused by Escherichia coli infection, a livestock disease where antibiotic therapy often has poor results. Colostrum from Piedmontese cows was collected within 24 h of calving and colosEVs were immediately isolated. IPEC-J2 cell line was pre-treated with colosEVs for 48 h and then infected with EPEC/NTEC field strains for 2 h. Bacterial adherence and IPEC-J2 gene expression analysis (RT-qPCR) of CXCL8, DEFB1, DEFB4A, TLR4, TLR5, NFKB1, MYD88, CGAS, RIGI and STING were evaluated. The colosEVs pre-treatment significantly reduced the ability of EPEC/NTEC strains to adhere to cell surfaces (p = 0.006), suggesting a role of ColosEVs in modulating host–pathogen interactions. Moreover, our results showed a significant decrease in TLR5 (p < 0.05), CGAS (p < 0.05) and STING (p < 0.01) gene expression in cells that were pre-treated with ColosEVs and then infected, thus highlighting a potential antimicrobial activity of ColosEVs. This is the first preliminarily study investigating ColosEV immunomodulatory and anti-inflammatory effects on an in vitro model of neonatal calf diarrhoea, showing its potential as a therapeutic and prophylactic tool. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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<p>Morphological characterization of isolated colosEVs: Transmission electron microscopy low (<b>A</b>) and high (<b>B</b>) magnification micrographs showing single and clustered colosEVs indicated by red arrows. Scale bar: A. 100 nm; B. 200 nm; (<b>C</b>) Western blot images obtained using Ab against Tsg101 (Tumor Susceptibility Gene 101 protein) and CD81 (Cluster of Differentiation 81) that are both mEV antigens and calnexin as negative cellular debris control of two colosEV samples (1 and 2); (<b>D</b>) nanoparticle tracking analysis graph indicating colosEV size distribution.</p>
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<p>Viability of IPEC-J2 after colosEVs exposure at 48 h. The different concentrations of colosEVs did not determine a significant difference in terms of cell viability after 24 h (see <a href="#app1-biomedicines-10-03264" class="html-app">Figure S1</a>), whereas 150 µg colosEVs determined a significant reduction in IPECJ2 vitality at 48 h (<span class="html-italic">p</span> &lt; 0.0001, indicated by *** in the graph). Data are expressed as optical density (OD) ± SD. Differences were evaluated through the Kruskal–Wallis test and applying the post hoc Dunn’s multiple comparison test.</p>
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<p>Effect of 48 h +1.5 µg colosEVs on <span class="html-italic">E. Coli</span>-inflamed IPEC-J2 cells. IPEC-J2-tested conditions were: inflamed (<span class="html-italic">E. coli</span>, pink), inflamed 1.5 µg colosEVs (<span class="html-italic">E. coli</span> + 1.5 µg colosEVs, light yellow), untreated (control, dark yellow). Significant differences are reported with respect to infected cells with <span class="html-italic">E. coli</span>. Differences were evaluated through the Kruskal–Wallis test and applying the post hoc Dunn’s multiple comparison test. The asterisks indicate the statistical significance: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 and *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Adhesion of <span class="html-italic">E. coli</span> strains on 1.5 µg colosEVs pre-treated cells compared with untreated ones. Data are expressed as log10 CFU of adherent, <span class="html-italic">E. coli</span>/5 × 10<sup>5</sup> cells and mean value of 3 experiments ± 1 standard deviation. Differences were evaluated through the Student’s <span class="html-italic">t</span>-test. The asterisks indicate the statistical significance: ** <span class="html-italic">p</span> &lt; 0.01.</p>
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Review

Jump to: Research

37 pages, 2081 KiB  
Review
Effects of Physical Cues on Stem Cell-Derived Extracellular Vesicles toward Neuropathy Applications
by Danyale Berry, Justice Ene, Aakash Nathani, Mandip Singh, Yan Li and Changchun Zeng
Biomedicines 2024, 12(3), 489; https://doi.org/10.3390/biomedicines12030489 - 22 Feb 2024
Cited by 2 | Viewed by 2110
Abstract
The peripheral nervous system undergoes sufficient stress when affected by diabetic conditions, chemotherapeutic drugs, and personal injury. Consequently, peripheral neuropathy arises as the most common complication, leading to debilitating symptoms that significantly alter the quality and way of life. The resulting chronic pain [...] Read more.
The peripheral nervous system undergoes sufficient stress when affected by diabetic conditions, chemotherapeutic drugs, and personal injury. Consequently, peripheral neuropathy arises as the most common complication, leading to debilitating symptoms that significantly alter the quality and way of life. The resulting chronic pain requires a treatment approach that does not simply mask the accompanying symptoms but provides the necessary external environment and neurotrophic factors that will effectively facilitate nerve regeneration. Under normal conditions, the peripheral nervous system self-regenerates very slowly. The rate of progression is further hindered by the development of fibrosis and scar tissue formation, which does not allow sufficient neurite outgrowth to the target site. By incorporating scaffolding supplemented with secretome derived from human mesenchymal stem cells, it is hypothesized that neurotrophic factors and cellular signaling can facilitate the optimal microenvironment for nerve reinnervation. However, conventional methods of secretory vesicle production are low yield, thus requiring improved methods to enhance paracrine secretions. This report highlights the state-of-the-art methods of neuropathy treatment as well as methods to optimize the clinical application of stem cells and derived secretory vesicles for nerve regeneration. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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<p>Structural representation of the nerve in PNS.</p>
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<p>Classification of peripheral nerve injuries.</p>
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<p>Components of EV cargo. Exosomes are composed of a multitude of proteins, molecules, growth factors, cytokines, lipids, and nucleic acids that influence the exosome structure, cargo organization, secretion, and signaling in multiple biological processes.</p>
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<p>Biogenesis of exosomes. (1) Internalized cargo from the cellular membrane via endocytosis is sorted into (2) early endosomes. (3) ESCRT, tetraspanins, and lipids guide early endosomes through late endosome/MVB maturation, (4) which is concentrated with ILVs. (5) The Golgi apparatus then supplements ILVs with nucleic acids, RNAs, proteins, and MHC II molecules. (6) MVBs are then transported to the plasma membrane via the cytoskeletal and microtubule network. (7) During the transportation process, Rab GTPases guide the docking and fusion of MVB with the plasma membrane. (8) ILVs are secreted as exosomes via exocytosis.</p>
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19 pages, 1275 KiB  
Review
Potential for Therapeutic-Loaded Exosomes to Ameliorate the Pathogenic Effects of α-Synuclein in Parkinson’s Disease
by David J. Rademacher
Biomedicines 2023, 11(4), 1187; https://doi.org/10.3390/biomedicines11041187 - 17 Apr 2023
Cited by 8 | Viewed by 2838
Abstract
Pathogenic forms of α-synuclein (α-syn) are transferred to and from neurons, astrocytes, and microglia, which spread α-syn pathology in the olfactory bulb and the gut and then throughout the Parkinson’s disease (PD) brain and exacerbate neurodegenerative processes. Here, we review attempts to minimize [...] Read more.
Pathogenic forms of α-synuclein (α-syn) are transferred to and from neurons, astrocytes, and microglia, which spread α-syn pathology in the olfactory bulb and the gut and then throughout the Parkinson’s disease (PD) brain and exacerbate neurodegenerative processes. Here, we review attempts to minimize or ameliorate the pathogenic effects of α-syn or deliver therapeutic cargo into the brain. Exosomes (EXs) have several important advantages as carriers of therapeutic agents including an ability to readily cross the blood–brain barrier, the potential for targeted delivery of therapeutic agents, and immune resistance. Diverse cargo can be loaded via various methods, which are reviewed herein, into EXs and delivered into the brain. Genetic modification of EX-producing cells or EXs and chemical modification of EX have emerged as powerful approaches for the targeted delivery of therapeutic agents to treat PD. Thus, EXs hold great promise for the development of next-generation therapeutics for the treatment of PD. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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<p>The transfer of α-syn to and from neurons, astrocytes, and microglia. The transfer of α-syn to astrocytes and microglia results in their activation. Activated astrocytes and microglia release ROS, pro-inflammatory cytokines and chemokines, which contribute to the neurodegenerative processes in PD. The figure was created with BioRender.com <a href="https://app.biorender.com/" target="_blank">https://app.biorender.com/</a> (accessed on 24 March 2023).</p>
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<p>Approaches to minimize or eliminate the pathogenic effects of α-syn-containing EXs in PD. (<b>A</b>). The major steps in the biogenesis of α-syn-containing EXs. Therapeutic approaches may target key proteins involved in each of these steps. (<b>B</b>). An EX that contains pathogenic, misfolded α-syn and expresses the tetraspanins, CD9 and CD63, is sequestered by antibodies directed against CD9 and CD63 and then cleared from circulation. (<b>C</b>). α-Syn-containing EXs are taken up by recipient cells by clathrin-mediated endocytosis. Therapeutic approaches may target proteins involved in EX uptake. Note that there are numerous ways that EXs can be taken up by recipient cells including caveolin-mediated endocytosis, lipid raft-mediated endocytosis, micropinocytosis, phagocytosis, and membrane fusion [<a href="#B70-biomedicines-11-01187" class="html-bibr">70</a>]. (<b>D</b>). There are numerous ways to load therapeutic cargos into EXs and deliver them to target cells in the brain, as described in the text. The figure was created with BioRender.com <a href="https://app.biorender.com/" target="_blank">https://app.biorender.com/</a> (accessed on 24 March 2023).</p>
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24 pages, 1822 KiB  
Review
Regenerative Effects of Exosomes-Derived MSCs: An Overview on Spinal Cord Injury Experimental Studies
by Giovanni Schepici, Serena Silvestro and Emanuela Mazzon
Biomedicines 2023, 11(1), 201; https://doi.org/10.3390/biomedicines11010201 - 13 Jan 2023
Cited by 13 | Viewed by 3072
Abstract
Spinal cord injury (SCI) is a devastating condition usually induced by the initial mechanical insult that can lead to permanent motor and sensory deficits. At present, researchers are investigating potential therapeutic strategies to ameliorate the neuro-inflammatory cascade that occurs post-injury. Although the use [...] Read more.
Spinal cord injury (SCI) is a devastating condition usually induced by the initial mechanical insult that can lead to permanent motor and sensory deficits. At present, researchers are investigating potential therapeutic strategies to ameliorate the neuro-inflammatory cascade that occurs post-injury. Although the use of mesenchymal stromal/stem (MSCs) as a potential therapy in application to regenerative medicine promoted anti-inflammatory and neuroprotective effects, several disadvantages limit their use. Therefore, recent studies have reported the effects of exosomes-derived MSCs (MSC-EXOs) as an innovative therapeutic option for SCI patients. It is noteworthy that MSC-EXOs can maintain the integrity of the blood-spinal cord barrier (BSCB), promoting angiogenic, proliferative, and anti-oxidant effects, as well as immunomodulatory, anti-inflammatory, and antiapoptotic properties. Therefore, in this study, we summarized the preclinical studies reported in the literature that have shown the effects of MSC-EXOs as a new molecular target to counteract the devastating effects of SCI. Full article
(This article belongs to the Special Issue Extracellular Vesicles and Exosomes as Therapeutic Agents)
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Figure 1

Figure 1
<p>The Prisma flow diagram illustrates the methodology that was used to select the in vivo and in vitro studies used for the writing of the review. Duplicate articles were excluded from the total of the studies that were found. Conversely, articles that highlight the role of MSCs derived exosomes in promoting injury repair and restoring functional deficits are described (The PRISMA Statement is published in [<a href="#B9-biomedicines-11-00201" class="html-bibr">9</a>].</p>
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<p>Pathophysiology of spinal cord injury (SCI). This schematic diagram illustrates the phase of SCI and its pathophysiology. Immediately after primary injury, the activation of resident astrocytes and microglia, and the subsequent infiltration of blood immune cells, induce an important neuroinflammatory response. This acute neuroinflammatory response plays a key role in the secondary injury mechanisms in the sub-acute and chronic phases that lead to cell death and tissue degeneration, as well as the formation of the glial scar, axonal degeneration and demyelination. During the acute phase, monocyte-derived macrophages occur in the central area of the injury to scavenge tissue damage. In these phases, the loss of oligodendrocytes leads to axonal demyelination, followed by spontaneous remyelination. Instead, astrocytes and pericytes, normally present in the spinal cord parenchyma, after damage proliferate and migrate to the site of injury and contribute to the formation of the glial scar. The image was created using the image bank of Servier Medical Art (Available online: <a href="http://smart.servier.com/" target="_blank">http://smart.servier.com/</a>, accessed on 1 December 2022), licensed under a Creative Commons Attribution 3.0 Unported License (Available online: <a href="https://creativecommons.org/licenses/by/3.0/" target="_blank">https://creativecommons.org/licenses/by/3.0/</a>, accessed on 1 December 2022).</p>
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<p>Repair of the nervous system following SCI post exosomes transplantation. Exosomes secreted by donor cells can cross to the blood-brain barrier, reducing both neuroinflammation and neuronal apoptosis, thus promoting vascular remodeling, neurogenesis, microglia activation and axonal remodeling in the nervous system. The image was created using the image bank of Servier Medical Art (Available online: <a href="http://smart.servier.com/" target="_blank">http://smart.servier.com/</a>, accessed on 1 December 2022), licensed under a Creative Commons Attribution 3.0 Unported License (Available online: <a href="https://creativecommons.org/licenses/by/3.0/" target="_blank">https://creativecommons.org/licenses/by/3.0/</a>, accessed on 1 December 2022).</p>
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