Preprint
Article

Induction of Neuroinflammation and Brain Oxidative Stress by Brain-derived Extracellular Vesicles from Hypertensive Rats

Altmetrics

Downloads

113

Views

44

Comments

0

A peer-reviewed article of this preprint also exists.

Submitted:

24 January 2024

Posted:

26 January 2024

You are already at the latest version

Alerts
Abstract
Neuroinflammation and brain oxidative stress are recognized as significant contributors to hypertension including salt sensitive hypertension. Extracellular vesicles (EVs) play an essential role in intercellular communication in various situations, including physiological and pathological ones. Based on this evidence, we hypothesized that EVs derived from the brains of hypertensive rats with salt sensitivity could trigger neuroinflammation and oxidative stress during hypertension development. To test this hypothesis, we compared the impact of EVs isolated from the brains of hypertensive Dahl Salt Sensitive rats (DSS) and normotensive Sprague Dawley (SD) rats on inflammatory factors and mitochondrial reactive oxygen species (mtROS) production in primary neuronal cultures and brain cardiovascular relevant regions, including the hypothalamic paraventricular nucleus (PVN) and lamina terminalis (LT). We found that brain-derived DSS-EVs significantly increased mRNA levels of proinflammatory cytokines (PICs) and chemokines, including TNFα, IL1β, CCL2, CCL5, and CCL12, as well as the transcriptional factor NF-κB in neuronal cultures. DSS-EVs also induced oxidative stress in neuronal cultures, as evidenced by elevated NADPH oxidase subunit CYBA coding gene mRNA levels and persistent mtROS elevation. When DSS-EVs were injected into the brains of normal SD rats, mRNA levels of PICs, chemokines, and the chronic neuronal activity marker FOSL1 were significantly increased in the PVN and LT. Furthermore, DSS-EVs caused mtROS elevation in brain PVN and LT, particularly in neurons. Our study reveals a novel role for brain-derived EVs from hypertensive rats in triggering neuroinflammation, upregulating chemokine expression, and inducing excessive ROS production. These findings provide insight into the complex interactions between EVs and hypertension-associated processes, offering potential therapeutic targets for hypertension-linked neurological complications.
Keywords: 
Subject: Medicine and Pharmacology  -   Neuroscience and Neurology

1. Introduction

Extracellular vesicles (EVs) are pivotal conduits for intercellular communication, profoundly influencing multicellular organisms' physiological and pathological processes [1]. These vesicles, encompassing both exosomes and macrovesicles, serve as cellular couriers, shuttling complex cargoes of proteins, lipids, metabolites, and various nucleic acids, including mRNA, microRNA, and long non-coding RNA [2]. The molecular payload, encapsulated within the protective lipid bilayer of EVs, is meticulously tailored to reflect the donor cells' health and activity status, thereby transferring materials and functional information [2,3]. The targeting of specific recipient cells allows EVs to deliver signals that can alter gene expression, modulate cellular behavior, and orchestrate a coordinated response among cells in diverse biological contexts [2,3]. With their inherent ability to navigate through the extracellular milieu and deliver their cargo precisely, EVs are increasingly recognized as important players in maintaining homeostasis and influencing the progression of diseases [4,5,6,7], marking them as a focal point for therapeutic innovation and a deeper understanding of cellular communication networks.
Hypertension, a critical risk factor for cardiovascular diseases [8,9], is influenced by a complex interplay of factors, notably high dietary salt intake [10]. Elevated salt intake activates immune responses and sparks inflammatory processes in key brain regions associated with cardiovascular control, such as the hypothalamic paraventricular nucleus (PVN) [11,12]. The ensuing neuroinflammation disrupts neurotransmitter balance critical for blood pressure regulation, contributing to the pathogenesis of hypertension [13,14]. This condition is further exacerbated by inflammatory mediators like cytokines and chemokines, which emerge from salt-induced neuroinflammation, heightening sympathetic nervous system activity (SNA) and reducing baroreflex sensitivity, thus fostering hypertension [14,15,16,17]. A pivotal consequence of increased salt consumption is the surge in the generation of reactive oxygen species (ROS) within the brain, straining the brain's antioxidant defenses and leading to oxidative stress. This oxidative stress is a critical perpetrator in the cascade of events that exacerbate hypertension, as it activates pro-inflammatory pathways and boosts SNA [18,19,20,21,22], which are recognized contributors to elevated blood pressure [23]. The lamina terminalis (LT), with its constituent structures—the subfornical organ, the organum vasculosum of the LT, and the median preoptic nucleus—and its lack of a complete blood-brain barrier (BBB), is particularly susceptible to circulating factors such as ions, hormones, and cytokines. It is crucial in body fluid homeostasis and cardiovascular regulation [24,25]. It has been observed that pro-inflammatory cytokines are elevated in the LT of rats subjected to a high-fat diet and Ang II infusion, highlighting the significance of cytokine-mediated impairment of LT functions and the overactivation of its neural circuitry during hypertensive conditions [26].
Based on compelling evidence, we hypothesize that EVs originating from the brains of hypertensive rats contribute to neuroinflammation and oxidative stress, playing a role in the onset of hypertension. To test our hypothesis, we examined the impact of brain derived EVs from hypertensive Dahl Salt Sensitive (DSS) rats on neuroinflammation and oxidative stress, comparing them to EVs from normotensive Sprague Dawley (SD) rats. Specifically, we investigated how these EVs influence cytokine and chemokine levels, as well as ROS and other oxidative stress indicators in both neuronal cultures and specific brain regions linked to blood pressure control. Our study may potentially uncover new targets for high blood pressure treatment.

2. Materials and Methods

2.1. Animals

Adult SD and DSS rats were obtained from Charles River Laboratories (Wilmington, MA, USA) and utilized in our breeding colony to generate offspring. The rats were housed under controlled conditions, with an ambient temperature ranging from 20 to 24°C and a 12-hour light-dark cycle. The rats were provided ad libitum access to food and water throughout the experimental period. The rats were used for intracerebroventricular (ICV) injection, brain-derived EV isolation, and primary neuronal cell preparation; all procedures were described below. All experimental protocols were approved by the Institutional Animal Care and Use Committee (IACUC) at Michigan Technological University.

2.2. Isolation of brain-derived EVs

Six-week-old male DSS rats were given a high-salt diet (4% NaCl) to develop hypertension [11], while age-matched SD rats received a regular salt diet (0.4% NaCl) as a control group. Following a minimum six-week dietary regimen, the animals were euthanized for brain extraction. The whole brain except for the cerebellum was used to isolate EVs using a revised established protocol [27,28]. Brain tissues were sectioned into small pieces and incubated in Gibco Hibernate E medium at a ratio of approximately 0.2 grams of tissue to 2 mL of medium per well in a 6-well plate. The tissue was then dissociated to a uniform size of about 2x2x2 mm. To this, collagenase D and DNase I were introduced to achieve concentrations of 2 mg/mL and 40 U/mL, respectively, in each well. The plate was incubated at 37°C for 30 minutes with gentle shaking at 70 rpm. Post-incubation, protease, and phosphatase inhibitors were added before the tissue was strained through a 70 μm cell strainer into a new 50 mL tube. Subsequent differential centrifugation steps were conducted at 4°C (300 xg for 10 minutes, 2000 xg for 20 minutes, and 10,000 xg for 30 minutes). The resulting supernatants were passed through a 0.22 μm filter to exclude larger particles. These filtered supernatants were overlaid onto a 30% sucrose cushion and ultracentrifuged at 100,000 xg for 90 minutes at 4°C. Pellets were collected and washed with Dulbecco’s phosphate-buffered saline (DPBS) with ultracentrifugation at 100,000 xg for 90 minutes again at 4°C. The final pellets obtained were resuspended in 50 μL of ice-cold DPBS, enhanced with protease and phosphatase inhibitors, to prepare for downstream applications.

2.3. Scanning Transmission Electron Microscopy (STEM) Analysis

EVs in a 30 μL aliquot were combined with an identical volume of 2% paraformaldehyde (PFA) and left to interact for 5 minutes. Then, 5 μL of this mixture was placed onto the carbon-coated side of a grid and allowed to settle for 1 minute. The grid was then blotted gently to dry using filter paper. For negative staining, uranyl acetate (UA) was employed. Freshly prepared 2% UA solution, 3 μL in volume, was applied to the grid and allowed to remain for 30 seconds before blotting away the excess solution with filter paper. After repeating the staining procedure, the grid was left to dry in the air overnight. The dry samples were subsequently examined under a FEI 200kV Titan Themis STEM.

2.4. Dynamic Light Scattering (DLS) Analysis

For particle size determination, a 10 μl volume of the resuspended EV pellet was diluted in DPBS to a protein concentration of 0.01 μg/μl. Approximately 800 μl of this dilution was placed into a low-volume cuvette. The Malvern Zetasizer Nano series was utilized to assess the size distribution of the particles. Cuvettes with lids were inverted before measurements to ensure uniformity and prevent sedimentation of larger particles. Each dilution was analyzed in triplicate to ensure the accuracy of the results.

2.5. Western Blot Analysis

The presence of specific proteins in EVs was evaluated through Western blot analysis. The EVs were prepared by mixing with RIPA lysis buffer containing 0.5% phenylmethylsulfonyl fluoride (PMSF) and subjected to sonication in three 5-second bursts. The mixture was then incubated on ice for 15 minutes, pipetting at 5-minute intervals to assist lysis. Protein concentrations were quantified using the Bradford reagent. Proteins (40 to 100 μg) were then separated on an SDS-PAGE gel using an electric field (initially 80 mV for 30 minutes, followed by 120 mV for 1.5 to 2.5 hours). After electrophoresis, proteins were transferred to a nitrocellulose membrane with a trans-blot turbo transfer system. The membrane was blocked with 5% milk in Tris-buffered saline containing 0.1% Tween® 20 (TBST) and then incubated with primary antibodies including mouse anti- ALG-2 interacting protein X (mouse-anti-Alix, 1:200 dilution, Santa Cruz Biotechnology), mouse anti- tumor susceptibility 101 (mouse anti-TSG101, 1:200 dilution, Santa Cruz Biotechnology), mouse anti- Golgi matrix protein 130 kD (mouse anti-GM130, 1:200 dilution, Santa Cruz Biotechnology) and rabbit anti-CD9 (1:1000 dilution, Cell Signaling) at 4°C overnight. The membranes were washed thrice with PBS, each for 5 minutes, followed by an hour's incubation with horseradish peroxidase (HRP)-conjugated secondary anti-bodies. Chemiluminescent detection was achieved using SuperSignal West Dura Extend-ed Duration Substrate and imaged using a Bio-Rad gel imaging system. Primary antibodies are listed in Table S1.

2.6. Fluorescent labeling of brain-derived EV

Following established protocols, brain-derived EVs were labeled with rhodamine-based fluorophores [29]. The labeled EVs (Rho-EVs) underwent incubation with primary neuronal cultures. The uptake and localization of these Rho-EVs were examined at intervals of 3, 24, 48, and 72 hours using confocal microscopy (Olympus FV1000). Hoechst stain (0.1 g/mL) was applied to the neuronal cultures 10-15 minutes before imaging to visualize cell nuclei.

2.7. Intracerebroventricular (ICV) Injections of EVs

The procedures for ICV injections adhered to previously published protocols [30,31]. Rats under anesthesia with 2.5% isoflurane in O2 received an injection of 8 µg of EV protein from either DSS or SD rats into the right lateral ventricle. Stereotaxic coordinates guided the injections: 0.8-0.9 mm posterior to bregma, 1.4-1.8 mm lateral to the midline, and 3.2-3.8 mm below the dural surface. Injections were administered at a flow rate of 1 µL/min using an UltraMicroPump3 (World Precision Instruments). Following the procedure, the animals were euthanized with an excess of isoflurane. Their brains were immediately frozen in liquid nitrogen and stored at -80°C for subsequent mRNA analysis.

2.8. mRNA level measurement using real-time PCR

The measurement of mRNA levels for select genes was performed in neuronal cultures and specific brain regions (PVN and LT areas) utilizing real-time PCR, as detailed in earlier studies [30,31]. RNA was isolated using the RNeasy Mini kit per the manufacturer's protocol. Between 200-400 ng of RNA from each sample was reverse transcribed to synthesize cDNA, which was then used as a template in Real-Time PCR assays. The expression levels of cytokines including tumor necrosis factor alpha (TNFα), interleukin-1 beta (IL-1β) and interleukin 6 (IL-6), chemokines including C-C motif chemokine ligand 2 (CCL2), CCL5 and CCL12, and the nuclear factor NF-kB subunit NF-kB1, inducible nitric oxide synthase (iNOS), NADPH oxidase subunits cytochrome b-245, alpha polypeptide and beta polypeptide (CYBA and CYBB), as well as indicators of neuronal activity including FBJ osteosarcoma oncogene and Fos-like antigen 1 (c-FOS and FOSL1), were quantified. TaqMan-specific primers and probes were employed for these assessments, with glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA as a normalization reference. Primers listed in Table S1 were purchased from ThermoFisher Scientific.

2.9. Mitochondrial reactive oxygen species (mtROS) measurement

Mitochondria-targeting fluorescent probes (MitoProbe) [32] were employed to determine ROS levels in the mitochondria of primary brain neuronal cultures and brain tissue. During in vitro experiments, primary neurons, aged 7 to 10 days in culture, were incubated with MitoProbe (1μM) after either a direct application or a fixation with 4% PFA for 30 minutes, followed by a co-stained with Hoechst for 15 minutes. After incubation, the cells were cleansed with PBS and analyzed using confocal microscopy to evaluate mtROS levels.
For in vivo measurements, rats received ICV injections of EVs. Three hours after the EV administration, MitoProbe was injected into the same brain region. Six hours after the initial EV injections, an overdose of isoflurane was administered for euthanasia, followed by transcardial perfusion with cold PBS and then 4% PFA in 1×PBS. The brains were then extracted, fixed in 4% PFA overnight and preserved in 30% sucrose in 1×PBS until the tissue descended to the container's bottom. Subsequently, the brains were cryo-sectioned for immunofluorescence analysis.

2.10. Immunofluorescence analysis

The process for immunofluorescence began with brains being embedded in O.C.T. compound (Sakura Finetek) and then cryo-sectioned into 20 µm thick coronal sections that included the PVN and LT regions. Following previously established protocols, brain sections were initially rinsed three times in PBS for 10 minutes each, permeabilized in cold methanol for 10 minutes, and then given a PBS wash. The sections were subsequently blocked with 5% horse serum for one hour. Incubation followed with primary antibodies: rabbit anti-neuronal nuclei (rabbit anti-NeuN, 1:300 dilution), mouse anti-glial fibrillary acidic protein (mouse anti-GFAP, 1:300 dilution), or rabbit anti-ionized calcium binding adaptor molecule 1 (rabbit anti-Iba1, 1:500 dilution) in PBS containing 0.5% Triton X-100 and 5% horse serum, maintained for 24 hours at 4°C. The following day, the sections underwent three further PBS washes, each lasting 10 minutes, before incubation with secondary antibodies—Alexa Fluor 488 donkey anti-rabbit IgG or Alexa Fluor 488 donkey anti-mouse IgG—for one hour at room temperature. Subsequent washes in PBS were performed before the sections were mounted in Vectorshield (Vector Labs, Burlingame, CA, United States). Fluorescent images were captured using confocal microscopy (Olympus FV1000).

2.11. Statistical Analysis

Statistical comparisons were conducted using Prism 9 (GraphPad), with all data presented as mean ± SEM. The student’s t-test or one-way ANOVA was applied to assess statistical significance. Post hoc analysis with Tukey’s multiple comparison test was used to evaluate differences between groups in the case of one-way ANOVA. The total fluorescent area was quantified using ImageJ software. A p-value of less than 0.05 was considered indicative of statistical significance.

3. Results

3.1. Isolation and identification of brain-derived EVs from SD and DSS rats

The extraction method for brain EVs from hypertensive DSS rats and their normotensive counterparts, SD rats, is depicted in Figure 1. Utilizing TEM, we confirmed that EVs from both group rats have a similar range of sizes, 22 to 182 nm, and consist of nanosized vesicles wrapped in a lipid bilayer, as shown in Figure 2A. The DLS method revealed comparable average sizes of EVs from both SD control rats and DSS rats with high salt diets (Figure 2B), with mean diameters of 213.4 ± 6.4 nm for SD-EVs and 218.8 ± 9.2 nm for DSS-EVs, as Figure 2C illustrates. The size of EVs measured via DLS appears larger than observing under the TEM. This discrepancy suggests that the sizing of EVs may be influenced by the specific methods employed. However, a crucial finding from this experiment is that the EV size is comparable between hypertensive rats and normotensive rats. This finding suggests that hypertension, induced by a high-salt diet in the DSS rats, does not significantly affect the size of the EVs compared to the normotensive SD rats.
Protein concentration measurements of the EVs showed no significant disparity between the two rat groups (Figure 2E, SD-EV: 2.15 ± 0.2 μg/μL vs DSS-EV: 2.12 ± 0.2 μg/μL). This suggests that the hypertensive state of the donor rat does not impact the total protein content of the EVs. Moreover, Western blot analysis confirmed the presence of EV markers, ALIX, TSG101 and CD9, in both sets of rats and the absence of the Golgi apparatus protein GM130, which is not associated with EVs, thereby verifying the purity of the EVs extracted from both SD and DSS rat brains (Figure 2D).
We then explored whether the cargos within EVs derived from hypertensive DSS rats and normotensive SD rats have distinct impacts on cellular communication. Specifically, we assessed how these cargos influence the mRNA levels of proinflammatory cytokines (PICs) and the production of ROS in both primary neuronal cultures and the cardiovascular relevant brain regions of rats.

3.2. Brain-derived EVs from hypertensive DSS rats increase mRNA levels of PICs and chemokines in primary neuronal cultures

Our study provides compelling evidence that brain-derived EVs from hypertensive DSS rats play a crucial role in promoting neuroinflammation, a critical factor in the development of hypertension. Fluorescently labeled EVs were observed to be absorbed by primary rat brain neuronal cultures, with the uptake beginning at 3 hours post-incubation and reaching a peak at 24 hours (Figure 3). This timing provided the framework for subsequent analyses. When treated with EVs from hypertensive rats (DSS-EVs), the neuronal cultures demonstrated a significant upregulation in the mRNA expression of inflammatory markers (Figure 4). Specifically, we observed a 2.3-fold increase in TNFα, a 3.7-fold increase in IL1β, and a 1.4-fold rise in NF-κB, a key regulator of inflammation, compared to SD-EV treated group.
The study further revealed that the same treatment with DSS-EVs increased the expression of acute neuronal activation marker c-Fos by 1.3-fold compared to cells treated with EVs from normotensive SD rats. Moreover, the chemokine mRNA levels after DSS-EV exposure showed a consistent pattern of significant elevation: CCL2 levels rose by 2.4-fold, CCL5 by 2.1-fold, and CCL12 by a striking 4.2-fold, compared to the SD-EV treated group. These chemokines are known for their role in immune cell mobilization and activation, suggesting an enhanced inflammatory response following treatment with hypertensive rat-derived EVs.

3.3. Brain-derived EVs from hypertensive DSS rats increase mtROS in primary neuronal cultures

Our investigation into the connection between oxidative stress and hypertension revealed significant findings. Specifically, we analyzed the effect of DSS-EVs on oxidative stress markers in primary neuronal cultures. The analysis showed that exposure to DSS-EVs resulted in a 1.7-fold increase in the mRNA levels of CYBA, a subunit of NADPH oxidase known for producing ROS (Figure 5A). However, the mRNA levels of another subunit, CYBB, did not significantly change. This suggests a selective regulatory effect of DSS-EVs on components of the NADPH oxidase complex (Figure 5B).
We then measured mtROS production, a key indicator of oxidative stress, using a mitochondria-targeting fluorescent probe, MitoProbe (Figure 5C). The total fluorescent area of mtROS in neurons treated with DSS-EVs was 1.6 times higher than in neurons treated with SD-EVs or PBS (Figure 5D). This indicates that DSS-EVs have a pronounced effect on mtROS production in neuronal cells. This was not observed in neurons treated with SD-EVs, suggesting that the hypertensive state may be linked to increased mitochondrial oxidative stress mediated by EVs.
Further time-course analysis showed a time-dependent pattern of ROS production (Figure 6). While both DSS-EVs and SD-EVs induced ROS production initially, after 48 and 72 hours, a sharp decline in ROS levels was observed in neurons treated with SD-EVs but not in those exposed to DSS-EVs (Figure 6A). DSS-EV-treated neurons exhibited a 2-fold and 1.6-fold increase in ROS intensity at 48 and 72 hours, respectively, compared to SD-EV-treated neurons (Figure 6B). These findings indicate that DSS-EVs maintain a prolonged pro-oxidative effect in primary neurons.
Our data suggests that EVs derived from hypertensive conditions, like those in DSS rats, cause oxidative stress in neurons. This is evidenced by increased mtROS production and sustained activation of oxidative pathways over time. The study provides compelling evidence that EVs could play a substantial role in the progression of hypertension by perpetuating oxidative stress, highlighting a potential target for therapeutic intervention in hypertensive-related neuronal damage.

3.4. ICV inection of brain-derived EVs from hypertensive DSS rats increases mRNA levels of PICs and chemokines in the PVN and LT of SD rats

Our results demonstrate that ICV injection of brain-derived EVs from hypertensive DSS rats markedly elevates mRNA levels of various inflammatory cytokines and chemokines in the PVN and LT of normotensive SD rats (Figure 7 and Figure 8). Specifically, 8 μg of protein-containing DSS-EVs were administered. After 6 hours, there was a significant increase in mRNA levels in the PVN for IL1β (4.3-fold), IL-6 (3.4-fold), CCL5 (2.6-fold), iNOS (5.2-fold) and FOSL1 (2.8-fold) when compared to SD-EV injections. Additionally, a trend towards increased mRNA levels of CCL2 and CCL12 was noted. In the LT, significant upregulation of IL1β (2.8-fold), CCL2 (2.8-fold), CCL5 (1.6-fold), CCL12 (2.3-fold), and FOSL1 (2.1-fold) was observed. These alterations suggest that the injected EVs from hypertensive rats can induce an inflammatory response in brain regions associated with cardiovascular regulation in normotensive rats.
These findings indicate that EVs derived from the brains of hypertensive rats carry inflammatory signatures capable of triggering neuroinflammation and neuronal excitation in otherwise normotensive rats. This discovery, along with the recognized significance of neuroinflammation and neuronal excitation in the development of hypertension, suggests that EVs may play a mediating role in the development and progression of hypertension.

3.5. ICV injection of brain-derived EVs from hypertensive DSS rats increase mtROS in PVN and LT of SD rats

Our results indicate that brain-derived EVs from DSS rats can significantly increase ROS production, leading to oxidative stress within specific PVN and LT regions of the normotensive SD rats. In this experiment, we administered 8µg of protein-containing EVs from either DSS or SD rats via ICV microinjection into the right lateral ventricle of SD rats. Following this, we injected MitoProbe to assess mtROS levels in the brain. Six hours following EV administration, the rats were euthanized, transcardially perfused with 4% PFA and their brains were sectioned for mtROS measurement. Confocal imaging demonstrated a notable elevation in mtROS levels in both the PVN and LT regions of rats injected with DSS-EVs, as compared to the control group receiving SD-EV injections. (Figure 9A and Figure 10A). Quantitative analysis demonstrated an 11-fold increase in mtROS levels in the PVN and a 7.5-fold increase in the LT, relative to SD-EV treatment (Figure 9B and Figure 10B).
Analysis of the confocal images further demonstrated that the surge in mtROS was primarily associated with neurons. This was evidenced by the significant overlap between mtROS fluorescence and NeuN staining, a marker for neurons, in both the PVN and LT regions. Additionally, colocalization with GFAP and Iba1 suggested that astrocytes and microglia also contributed to the increased ROS production, albeit to a lesser extent. To validate that the heightened mtROS was indeed a result of DSS-EV introduction and not an artifact of paraformaldehyde fixation, additional rat brains were snap-frozen post-EV and MitoProbe injection. Subsequent confocal microscopy of the PVN, after nuclear staining with 4′,6-diamidino-2-phenylindole dihydrochloride (DAPI), corroborated our findings, showing a significant 5.2-fold increase in ROS production following DSS-EV treatment compared to SD-EVs (Figure 11).
Our data underscores the role of brain-derived EVs in mediating oxidative stress within the PVN and LT regions under hypertensive conditions. The prominent increase in mtROS levels following the administration of EVs from hypertensive rats suggests that these vesicles could be critical facilitators of oxidative stress. Neurons emerged as the primary cell type affected, with astrocytes and microglia also implicated in the process. These findings bolster the hypothesis that EVs contribute to the pathophysiology of hypertension and may offer novel insight into how hypertension influences brain function, potentially guiding the development of new therapeutic strategies.

4. Discussion

Our current study embarked on a quest to decode the influence of brain-derived EVs on the progression of hypertension, focusing on their ability to modulate neuroinflammation and the generation of ROS in primary neuronal cultures and brain regions critical for cardiovascular regulation. The investigation unraveled three pivotal findings:
(1)
EVs isolated from the brains of hypertensive DSS rats were identified to significantly increase PIC levels, such as TNF-α and IL-1β, in cultured neurons. This suggests that the EVs can carry and transfer inflammatory signals, potentially leading to a heightened inflammatory state in the recipient cells. The activation of NF-κB signaling pathways and elevation of chemokines like CCL2, CCL5, and CCL12, as well as the amplification of neuronal activity evidenced by the c-Fos marker, were also noted. Furthermore, an increase in ROS within these neurons was observed, hinting at the pro-oxidative effects of the EVs.
(2)
The administration of EVs from hypertensive rats to normotensive SD rats resulted in similar inflammatory and oxidative responses within the PVN and LT—brain regions that are instrumental in managing cardiovascular functions. This reaction was characterized by elevated levels of proinflammatory markers, neuronal activity as indicated by Fosl1, and mitochondrial ROS production.
(3)
A pronounced rise in ROS production, specifically in neurons located within the PVN and LT, was induced by the hypertensive rat brain-derived EVs, highlighting the targeted nature of EV-related alterations within these crucial neural structures.
These findings underscore the critical role of EVs, including exosomes and larger vesicles, in cellular communication. They serve as vehicles for biological signals that can alter cellular functions, illuminating their potential role in the pathogenesis of hypertension. The detailed examination of EVs from both normotensive and hypertensive rat models sheds light on their possible contribution to hypertension-related complications.
In this study, we selected the DSS rat strain as the hypertensive model and SD rats as the normal controls. The DSS rats are known for their salt sensitivity and were initially derived from the SD rats, ensuring they share the same genetic background [33]. This genetic commonality establishes a strong basis for attributing the observed neuroinflammatory and oxidative changes to the effects of brain-derived EVs, thereby reinforcing the relevance and potential involvement of EVs in the development of hypertension.
Our research delves into the role of EVs in the brains of hypertensive rats and their impact on primary neuronal cultures, shedding light on their potential contribution to neuroinflammatory processes. Neuroinflammation often manifests through increased levels of PICs, which are known to be associated with various diseases, including hypertension [11,34,35,36]. In our present study, EVs from hypertensive rats were found to elevate the mRNA expression of inflammatory markers like TNFα and IL1β, as well as the transcription factor NF-κB in cultured neurons. Given that NF-κB orchestrates the regulation of numerous genes, particularly those related to inflammation, its activation is a clear indicator of an inflammatory state.
Our previous research established that TNFα could intensify the inflammatory response in neurons [37], a finding reinforced by our current study. Neurons are thus implicated as both sources and targets of neuroinflammation in hypertensive conditions, responding to external hypertensive stimuli, in this case, brain-derived EVs. Moreover, EVs have been known to carry or present cytokines on their surface, including TNFα, IL1β, and IL6 [38]. This aligns with findings in clinical settings, such as in patients with myocardial infarction, where EV-associated cytokines have shown dysregulation [39].
While our current work did not determine the exact source of central cytokines, further research is necessary to elaborate. The primary neuronal cultures used were derived from various brain regions, including the hypothalamus and cortex. To pinpoint the brain areas most affected by EVs, we examined the inflammatory responses in two hypertension-relevant regions, the PVN and LT, after introducing EVs intracranially. Consistently, we observed that EVs from hypertensive rats induced a significant increase, or at least a rising trend, in cytokine and chemokine levels in these regions compared to controls. This aligns with previous observations that a high-salt diet increases cerebrospinal fluid sodium levels and that certain cytokines are elevated in hypertensive conditions [11]. Notably, injections of PICs into the PVN have been shown to raise blood pressure and SNA, implicating these cytokines in hypertension development [40].
Our present study discovered a marked increase in IL1β and a notable rising trend in IL6 in the LT, characterized by its highly permeable blood-brain barrier. This suggests that neuroinflammation in the LT during hypertension may be mediated, at least in part, by brain-derived EVs. Given the LT's susceptibility to circulating cytokines, it is plausible that these cytokines could affect its functions, a hypothesis supported by models indicating that the LT's neural response to cytokines contributes to hypertension development [41,42]. These findings suggest that brain-derived EVs may serve as conduits for neuroinflammation, potentially amplifying the inflammatory environment within the brain, which is associated with the onset and progression of hypertension.
Our investigation expanded to the impact of EVs on chemokine expression, where we discovered pronounced increases in the mRNA levels of CCL2, CCL5, and CCL12 in primary neuronal cultures exposed to EVs from hypertensive DSS rats. Notably, in brain regions such as the PVN and the LT, we detected either significant enhancements or an upward trend in the mRNA levels of these chemokines when SD rats received treatments with EVs sourced from hypertensive DSS counterparts. These findings are pivotal due to the established role of these chemokines in hypertension.
The chemokine CCL2 is crucial in guiding immune cells like neutrophils, monocytes, and T cells to inflammation sites by interacting with specific chemokine receptors. The link between high CCL2 levels and the severity of hypertension-related organ damage has been supported by correlations found in human studies [43]. Furthermore, experiments blocking CCR2, the receptor for both CCL2 and CCL12, demonstrated a reduction in blood pressure in animal models of hypertension [44].
CCL5 is another critical chemokine, serving as a strong attractant for monocytes and T cells. Increased levels of CCL5 have been documented in both the central nervous system and peripheral organs such as the kidneys in hypertensive rats, implying a systemic response that could exacerbate hypertension [45,46,47].
The elevated mRNA levels of CCL2 in neurons treated with EVs from hypertensive rats suggest that these vesicles may carry factors that induce an inflammatory response. Since CCL2 is involved in recruiting inflammatory cells, its increased expression could lead to enhanced inflammation within the brain, contributing to the pathophysiology of hypertension. The fact that higher CCL2 levels are associated with more severe organ damage in humans with hypertension underscores the clinical relevance of our findings.
The heightened expression of CCL5 in response to EVs from hypertensive rats highlights a potential mechanism by which hypertension can alter immune cell migration and infiltration in the brain and other organs. Given that CCL5 expression is upregulated in hypertensive rats' central nervous system and kidneys, it's plausible that this chemokine could contribute to the maintenance and progression of high blood pressure through its chemotactic activities. The observed increase in CCL12 mRNA and the known effects of blocking CCR2 present a strong case for these molecules as therapeutic targets. By interfering with CCR2, the EV-mediated propagation of hypertension could be mitigated, which could reduce blood pressure and associated damage.
Our observations indicate a substantial role for brain-derived EVs in mediating chemokine-driven inflammatory responses, implicating them in the recruitment and activation of immune cells that potentially exacerbate neuroinflammation. This could have far-reaching implications for understanding the pathogenesis of hypertension and open the door to novel therapeutic strategies targeting EVs and their inflammatory cargo.
Our research further delves into the contribution of EVs to ROS generation. When produced excessively, ROS can eclipse the body's antioxidant defenses, prompting oxidative stress—a pivotal factor in the onset of hypertension [48]. Our findings highlight that exposure to EVs from the brains of hypertensive DSS rats significantly escalates CYBA mRNA levels in primary neuronal cultures. This suggests that EVs may activate oxidative stress by engaging the NADPH oxidase system, a known pathway for ROS production. While mitochondria are recognized as the primary sites for ROS generation, our assays of mtROS through fluorescence intensity reinforce the premise that DSS-EVs amplify mtROS production.
To substantiate the link between EVs and oxidative stress in vivo, we administered ICV injections of DSS-EVs into normotensive SD rats. Post-injection, we observed a pronounced rise in iNOS mRNA within the PVN and a surge in mtROS fluorescence in both the PVN and LT. Our data pinpoint neurons as the predominant ROS generators in response to EV exposure. This is a reasonable observation considering that neurons, with their high metabolic demand, possess an abundance of mitochondria, which, under stress conditions, can leak electrons that react with oxygen to form ROS. Therefore, neuronal cells are particularly susceptible to shifts in redox states and can significantly contribute to ROS production. This discovery is crucial because it directly connects neuroinflammation, oxidative stress, and hypertension. Both neuroinflammation and oxidative stress are known to amplify SNA, which is a major driving force in the development of hypertension. ROS and inflammatory mediators can disturb neurotransmitter equilibrium and autonomic regulation, increasing SNA [20,49]. In line with these findings, our experiments showed that treatment with DSS-EVs increased the expression of c-Fos, a marker of neuronal activation, in primary neuron cultures. We also noted higher levels of FOSL1, another indication of neuronal activity, in the PVN and LT regions. Such neuronal activation is a precursor to raised blood pressure and the advancement of hypertension.

5. Conclusions

Our present study has found that brain-derived EVs from hypertensive rats may influence the onset and progression of hypertension by modulating neuroinflammation and ROS production within key cardiovascular regions of the brain and primary neuronal cultures. The current study has identified a notable increase in inflammatory markers and neuronal activity indicators in response to hypertensive EVs, suggesting that these vesicles may serve as critical facilitators of the inflammatory processes associated with hypertension. Our work provides a valuable perspective on the role of EVs as carriers of pathological signals in hypertensive conditions. By demonstrating that EVs derived from hypertensive brains can elevate cytokine and chemokine levels, increase markers of neuronal activity, and promote excessive mtROS production, we have established a potential mechanistic link between EV-mediated intercellular communication and hypertension (Figure 12).
The implications of these findings are profound, as they highlight the potential of targeting EVs to alleviate the neurological and cardiovascular complications of hypertension. Our results underscore the importance of further exploring the biological significance of EVs in hypertension, which could lead to innovative therapeutic approaches that address the root causes of this condition. Future research in this domain is poised to refine our understanding of EV-mediated pathways in hypertension, paving the way for novel interventions that could transform the management of this prevalent and debilitating disease.

6. Limitations

Our study presents compelling evidence that brain-derived EVs from hypertensive DSS rats induce neuroinflammation and increase ROS production, potentially contributing to hypertension development. However, some considerations merit attention. The primary neuronal cultures used encompassed diverse brain regions, limiting our ability to discern region-specific responses to EVs. Additionally, our study didn't directly assess the origin of central cytokines, suggesting a need for a more detailed exploration to elucidate EVs' mechanistic pathways in hypertension. Differentiating systemic versus regional effects of cytokines and addressing the blood-brain barrier's influence in areas like LT pose challenges.
Furthermore, our investigation, though comprehensive, could benefit from more specificity in understanding the roles of PICs, chemokines, and ROS in hypertension development. Long-term effects of EV exposure on neuronal function and blood pressure regulation were not explored, leaving room for understanding the chronic impacts of EVs over time.
Finally, our study lacks interventions to modulate observed EV-mediated effects. Future research incorporating such interventions could offer more conclusive insights into the therapeutic potential of targeting EVs in hypertension, guiding innovative therapeutic directions. Ongoing efforts aim to address these gaps, fostering a more comprehensive understanding of EVs' roles in hypertension and inspiring therapeutic advancements.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org. Table S1: Primer sequences, primary antibodies, and reagents.

Author Contributions

X.C. and X.Y. contributed equally. Conceptualization, X.C. and Z.S.; methodology, X.C., X.Y., L.G., Q.C., L.B. and Z.S.; data curation, X.C., X.Y., and Z.S.; software, X.C.; validation, X.C. and Z.S; investigation, X.C., X.Y., L.B. and Z.S.; writing—original draft preparation, X.C., L.B. and Z.S.; writing—review and editing, X.C., X.Y., L.B. and Z.S.; supervision, Q.C., L.B. and Z.S.; funding acquisition, L.B. and Z.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Institutes of Health (NIH) grant R01HL163159 (Z.S.), R15HL150703 (Z.S.), R15HL122952 (Q.C.) and American Heart Association (AHA) grant 1807047 (L.B.).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Raposo, G.; Stoorvogel, W. Extracellular vesicles: exosomes, microvesicles, and friends. J Cell Biol 2013, 200, 373–383. [Google Scholar] [CrossRef]
  2. van Niel, G.; D'Angelo, G.; Raposo, G. Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol 2018, 19, 213–228. [Google Scholar] [CrossRef]
  3. Dixson, A.C.; Dawson, T.R.; Di Vizio, D.; Weaver, A.M. Context-specific regulation of extracellular vesicle biogenesis and cargo selection. Nat Rev Mol Cell Biol 2023, 24, 454–476. [Google Scholar] [CrossRef]
  4. Becker, A.; Thakur, B.K.; Weiss, J.M.; Kim, H.S.; Peinado, H.; Lyden, D. Extracellular Vesicles in Cancer: Cell-to-Cell Mediators of Metastasis. Cancer Cell 2016, 30, 836–848. [Google Scholar] [CrossRef]
  5. Lu, M.; DiBernardo, E.; Parks, E.; Fox, H.; Zheng, S.Y.; Wayne, E. The Role of Extracellular Vesicles in the Pathogenesis and Treatment of Autoimmune Disorders. Front Immunol 2021, 12, 566299. [Google Scholar] [CrossRef]
  6. Turpin, D.; Truchetet, M.E.; Faustin, B.; Augusto, J.F.; Contin-Bordes, C.; Brisson, A.; Blanco, P.; Duffau, P. Role of extracellular vesicles in autoimmune diseases. Autoimmun Rev 2016, 15, 174–183. [Google Scholar] [CrossRef] [PubMed]
  7. Han, C.; Yang, J.; Sun, J.; Qin, G. Extracellular vesicles in cardiovascular disease: Biological functions and therapeutic implications. Pharmacol Ther 2022, 233, 108025. [Google Scholar] [CrossRef] [PubMed]
  8. Fuchs, F.D.; Whelton, P.K. High Blood Pressure and Cardiovascular Disease. Hypertension 2020, 75, 285–292. [Google Scholar] [CrossRef] [PubMed]
  9. Kjeldsen, S.E. Hypertension and cardiovascular risk: General aspects. Pharmacol Res 2018, 129, 95–99. [Google Scholar] [CrossRef]
  10. Grillo, A.; Salvi, L.; Coruzzi, P.; Salvi, P.; Parati, G. Sodium Intake and Hypertension. Nutrients 2019, 11. [Google Scholar] [CrossRef] [PubMed]
  11. Jiang, E.; Chapp, A.D.; Fan, Y.; Larson, R.A.; Hahka, T.; Huber, M.J.; Yan, J.; Chen, Q.H.; Shan, Z. Expression of Proinflammatory Cytokines Is Upregulated in the Hypothalamic Paraventricular Nucleus of Dahl Salt-Sensitive Hypertensive Rats. Front Physiol 2018, 9, 104. [Google Scholar] [CrossRef] [PubMed]
  12. Winklewski, P.J.; Radkowski, M.; Wszedybyl-Winklewska, M.; Demkow, U. Brain inflammation and hypertension: the chicken or the egg? J Neuroinflammation 2015, 12, 85. [Google Scholar] [CrossRef] [PubMed]
  13. Khor, S.; Cai, D. Hypothalamic and inflammatory basis of hypertension. Clin Sci (Lond) 2017, 131, 211–223. [Google Scholar] [CrossRef] [PubMed]
  14. Amorim, M.R.; de Deus, J.L.; Cazuza, R.A.; Mota, C.M.D.; da Silva, L.E.V.; Borges, G.S.; Batalhão, M.E.; Cárnio, E.C.; Branco, L.G.S. Neuroinflammation in the NTS is associated with changes in cardiovascular reflexes during systemic inflammation. J Neuroinflammation 2019, 16, 125. [Google Scholar] [CrossRef] [PubMed]
  15. Haspula, D.; Clark, M.A. Neuroinflammation and sympathetic overactivity: Mechanisms and implications in hypertension. Auton Neurosci 2018, 210, 10–17. [Google Scholar] [CrossRef] [PubMed]
  16. Mowry, F.E.; Peaden, S.C.; Stern, J.E.; Biancardi, V.C. TLR4 and AT1R mediate blood-brain barrier disruption, neuroinflammation, and autonomic dysfunction in spontaneously hypertensive rats. Pharmacol Res 2021, 174, 105877. [Google Scholar] [CrossRef] [PubMed]
  17. Shi, P.; Raizada, M.K.; Sumners, C. Brain cytokines as neuromodulators in cardiovascular control. Clin Exp Pharmacol Physiol 2010, 37, e52–57. [Google Scholar] [CrossRef]
  18. Fujita, M.; Ando, K.; Nagae, A.; Fujita, T. Sympathoexcitation by oxidative stress in the brain mediates arterial pressure elevation in salt-sensitive hypertension. Hypertension 2007, 50, 360–367. [Google Scholar] [CrossRef]
  19. Fujita, M.; Fujita, T. The role of CNS in salt-sensitive hypertension. Curr Hypertens Rep 2013, 15, 390–394. [Google Scholar] [CrossRef]
  20. Kishi, T.; Hirooka, Y. Oxidative stress in the brain causes hypertension via sympathoexcitation. Front Physiol 2012, 3, 335. [Google Scholar] [CrossRef]
  21. Ando, K.; Fujita, M. Reactive oxygen species and the central nervous system in salt-sensitive hypertension: possible relationship with obesity-induced hypertension. Clin Exp Pharmacol Physiol 2012, 39, 111–116. [Google Scholar] [CrossRef]
  22. Touyz, R.M.; Rios, F.J.; Alves-Lopes, R.; Neves, K.B.; Camargo, L.L.; Montezano, A.C. Oxidative Stress: A Unifying Paradigm in Hypertension. Can J Cardiol 2020, 36, 659–670. [Google Scholar] [CrossRef]
  23. Fujita, T.; Henry, W.L.; Bartter, F.C.; Lake, C.R.; Delea, C.S. Factors influencing blood pressure in salt-sensitive patients with hypertension. Am J Med 1980, 69, 334–344. [Google Scholar] [CrossRef] [PubMed]
  24. Guyenet, P.G. Putative Mechanism of Salt-Dependent Neurogenic Hypertension: Cell-Autonomous Activation of Organum Vasculosum Laminae Terminalis Neurons by Hypernatremia. Hypertension 2017, 69, 20–22. [Google Scholar] [CrossRef] [PubMed]
  25. McKinley, M.J.; Allen, A.M.; May, C.N.; McAllen, R.M.; Oldfield, B.J.; Sly, D.; Mendelsohn, F.A. Neural pathways from the lamina terminalis influencing cardiovascular and body fluid homeostasis. Clin Exp Pharmacol Physiol 2001, 28, 990–992. [Google Scholar] [CrossRef]
  26. Xue, B.; Yu, Y.; Zhang, Z.; Guo, F.; Beltz, T.G.; Thunhorst, R.L.; Felder, R.B.; Johnson, A.K. Leptin Mediates High-Fat Diet Sensitization of Angiotensin II-Elicited Hypertension by Upregulating the Brain Renin-Angiotensin System and Inflammation. Hypertension 2016, 67, 970–976. [Google Scholar] [CrossRef]
  27. Crescitelli, R.; Lässer, C.; Lötvall, J. Isolation and characterization of extracellular vesicle subpopulations from tissues. Nat Protoc 2021, 16, 1548–1580. [Google Scholar] [CrossRef]
  28. Vella, L.J.; Scicluna, B.J.; Cheng, L.; Bawden, E.G.; Masters, C.L.; Ang, C.S.; Willamson, N.; McLean, C.; Barnham, K.J.; Hill, A.F. A rigorous method to enrich for exosomes from brain tissue. J Extracell Vesicles 2017, 6, 1348885. [Google Scholar] [CrossRef] [PubMed]
  29. Yan, X.; Chen, X.; Shan, Z.; Bi, L. Engineering Exosomes to Specifically Target the Mitochondria of Brain Cells. ACS Omega 2023, 8, 48984–48993. [Google Scholar] [CrossRef]
  30. Huber, M.J.; Fan, Y.; Jiang, E.; Zhu, F.; Larson, R.A.; Yan, J.; Li, N.; Chen, Q.H.; Shan, Z. Increased activity of the orexin system in the paraventricular nucleus contributes to salt-sensitive hypertension. Am J Physiol Heart Circ Physiol 2017, 313, H1075–h1086. [Google Scholar] [CrossRef]
  31. Fan, Y.; Jiang, E.; Gao, H.; Bigalke, J.; Chen, B.; Yu, C.; Chen, Q.; Shan, Z. Activation of Orexin System Stimulates CaMKII Expression. Front Physiol 2021, 12, 698185. [Google Scholar] [CrossRef]
  32. Yapici, N.B.; Mandalapu, S.; Gibson, K.M.; Bi, L. Targeted fluorescent probes for detection of oxidative stress in the mitochondria. Bioorg Med Chem Lett 2015, 25, 3476–3480. [Google Scholar] [CrossRef]
  33. Dahl, L.K.; Heine, M.; Tassinari, L. Effects of chronia excess salt ingestion. Evidence that genetic factors play an important role in susceptibility to experimental hypertension. J Exp Med 1962, 115, 1173–1190. [Google Scholar] [CrossRef] [PubMed]
  34. Agarwal, D.; Welsch, M.A.; Keller, J.N.; Francis, J. Chronic exercise modulates RAS components and improves balance between pro- and anti-inflammatory cytokines in the brain of SHR. Basic Res Cardiol 2011, 106, 1069–1085. [Google Scholar] [CrossRef] [PubMed]
  35. Kang, Y.M.; Ma, Y.; Zheng, J.P.; Elks, C.; Sriramula, S.; Yang, Z.M.; Francis, J. Brain nuclear factor-kappa B activation contributes to neurohumoral excitation in angiotensin II-induced hypertension. Cardiovasc Res 2009, 82, 503–512. [Google Scholar] [CrossRef]
  36. Avolio, E.; Pasqua, T.; Di Vito, A.; Fazzari, G.; Cardillo, G.; Alò, R.; Cerra, M.C.; Barni, T.; Angelone, T.; Canonaco, M. Role of Brain Neuroinflammatory Factors on Hypertension in the Spontaneously Hypertensive Rat. Neuroscience 2018, 375, 158–168. [Google Scholar] [CrossRef] [PubMed]
  37. Gao, H.; Bigalke, J.; Jiang, E.; Fan, Y.; Chen, B.; Chen, Q.H.; Shan, Z. TNFα Triggers an Augmented Inflammatory Response in Brain Neurons from Dahl Salt-Sensitive Rats Compared with Normal Sprague Dawley Rats. Cell Mol Neurobiol 2022, 42, 1787–1800. [Google Scholar] [CrossRef] [PubMed]
  38. Fitzgerald, W.; Freeman, M.L.; Lederman, M.M.; Vasilieva, E.; Romero, R.; Margolis, L. A System of Cytokines Encapsulated in ExtraCellular Vesicles. Sci Rep 2018, 8, 8973. [Google Scholar] [CrossRef]
  39. Lebedeva, A.; Fitzgerald, W.; Molodtsov, I.; Shpektor, A.; Vasilieva, E.; Margolis, L. Differential clusterization of soluble and extracellular vesicle-associated cytokines in myocardial infarction. Sci Rep 2020, 10, 21114. [Google Scholar] [CrossRef]
  40. Shi, Z.; Gan, X.B.; Fan, Z.D.; Zhang, F.; Zhou, Y.B.; Gao, X.Y.; De, W.; Zhu, G.Q. Inflammatory cytokines in paraventricular nucleus modulate sympathetic activity and cardiac sympathetic afferent reflex in rats. Acta Physiol (Oxf) 2011, 203, 289–297. [Google Scholar] [CrossRef]
  41. Johnson, A.K.; Xue, B. Central nervous system neuroplasticity and the sensitization of hypertension. Nat Rev Nephrol 2018, 14, 750–766. [Google Scholar] [CrossRef]
  42. Xue, B.; Zhang, Y.; Johnson, A.K. Interactions of the Brain Renin-Angiotensin-System (RAS) and Inflammation in the Sensitization of Hypertension. Front Neurosci 2020, 14, 650. [Google Scholar] [CrossRef]
  43. Tucci, M.; Quatraro, C.; Frassanito, M.A.; Silvestris, F. Deregulated expression of monocyte chemoattractant protein-1 (MCP-1) in arterial hypertension: role in endothelial inflammation and atheromasia. J Hypertens 2006, 24, 1307–1318. [Google Scholar] [CrossRef]
  44. Chan, C.T.; Moore, J.P.; Budzyn, K.; Guida, E.; Diep, H.; Vinh, A.; Jones, E.S.; Widdop, R.E.; Armitage, J.A.; Sakkal, S.; et al. Reversal of vascular macrophage accumulation and hypertension by a CCR2 antagonist in deoxycorticosterone/salt-treated mice. Hypertension 2012, 60, 1207–1212. [Google Scholar] [CrossRef]
  45. Guzik, T.J.; Hoch, N.E.; Brown, K.A.; McCann, L.A.; Rahman, A.; Dikalov, S.; Goronzy, J.; Weyand, C.; Harrison, D.G. Role of the T cell in the genesis of angiotensin II induced hypertension and vascular dysfunction. J Exp Med 2007, 204, 2449–2460. [Google Scholar] [CrossRef]
  46. Mikolajczyk, T.P.; Nosalski, R.; Szczepaniak, P.; Budzyn, K.; Osmenda, G.; Skiba, D.; Sagan, A.; Wu, J.; Vinh, A.; Marvar, P.J.; et al. Role of chemokine RANTES in the regulation of perivascular inflammation, T-cell accumulation, and vascular dysfunction in hypertension. Faseb j 2016, 30, 1987–1999. [Google Scholar] [CrossRef]
  47. Zhang, J.D.; Patel, M.B.; Song, Y.S.; Griffiths, R.; Burchette, J.; Ruiz, P.; Sparks, M.A.; Yan, M.; Howell, D.N.; Gomez, J.A.; et al. A novel role for type 1 angiotensin receptors on T lymphocytes to limit target organ damage in hypertension. Circ Res 2012, 110, 1604–1617. [Google Scholar] [CrossRef]
  48. Vaziri, N.D.; Rodríguez-Iturbe, B. Mechanisms of disease: oxidative stress and inflammation in the pathogenesis of hypertension. Nat Clin Pract Nephrol 2006, 2, 582–593. [Google Scholar] [CrossRef]
  49. Stocker, S.D.; Kinsman, B.J.; Sved, A.F. Recent Advances in Neurogenic Hypertension: Dietary Salt, Obesity, and Inflammation. Hypertension 2017. [Google Scholar] [CrossRef]
Figure 1. Schematic diagram of brain-derived extracellular vesicles (EV) isolation Rat brain tissue pieces is first incubated with collagenase D and DNase I to release EVs embedded in the extracellular matrix. A combination of centrifugation, filtration, sucrose cushion ultracentrifugation and additional ultracentrifugation is performed to isolate brain-derived EVs.
Figure 1. Schematic diagram of brain-derived extracellular vesicles (EV) isolation Rat brain tissue pieces is first incubated with collagenase D and DNase I to release EVs embedded in the extracellular matrix. A combination of centrifugation, filtration, sucrose cushion ultracentrifugation and additional ultracentrifugation is performed to isolate brain-derived EVs.
Preprints 97239 g001
Figure 2. Identification of brain-derived EVs from Sprague Dawley (SD) and Dahl Salt Sensitive (DSS) rats (A) Representative electron micrograph of brain-derived EVs with transmission electron microscopy; Selected EVs are indicated by yellow arrows and their diameters are measured in green line. Scale bar is 100nm in (a-c) and 50nm in (d). (B-C) Comparison of size of DSS-EV (dashed line) and SD-EV (solid line) with dynamic light scattering; Summary data (C) comparing the average size of DSS-EV with SD-EV; (D) Western blots of EV protein markers (ALIX, TSG101 and CD9) in both groups; GM130 referred as a negative control; (E) Protein concentration of brain-derived EVs in SD and DSS rats. Graphs indicate mean ± SEM.
Figure 2. Identification of brain-derived EVs from Sprague Dawley (SD) and Dahl Salt Sensitive (DSS) rats (A) Representative electron micrograph of brain-derived EVs with transmission electron microscopy; Selected EVs are indicated by yellow arrows and their diameters are measured in green line. Scale bar is 100nm in (a-c) and 50nm in (d). (B-C) Comparison of size of DSS-EV (dashed line) and SD-EV (solid line) with dynamic light scattering; Summary data (C) comparing the average size of DSS-EV with SD-EV; (D) Western blots of EV protein markers (ALIX, TSG101 and CD9) in both groups; GM130 referred as a negative control; (E) Protein concentration of brain-derived EVs in SD and DSS rats. Graphs indicate mean ± SEM.
Preprints 97239 g002
Figure 3. Brain-derived EVs are taken up in primary neuronal cultures. EVs from rat brains were fluorescent labeled (shown in red) and incubated with primary neurons for a series of time- 3h, 24h, 48h and 72h. Subsequently labeled EVs were nuclear stained with Hoechst (shown in blue) and subjected to confocal microscopy. Scale bar of images with low magnification is 50 µm and images with high magnification is 20 µm.
Figure 3. Brain-derived EVs are taken up in primary neuronal cultures. EVs from rat brains were fluorescent labeled (shown in red) and incubated with primary neurons for a series of time- 3h, 24h, 48h and 72h. Subsequently labeled EVs were nuclear stained with Hoechst (shown in blue) and subjected to confocal microscopy. Scale bar of images with low magnification is 50 µm and images with high magnification is 20 µm.
Preprints 97239 g003
Figure 4. Brain-derived EVs from hypertensive DSS rats increase mRNA levels of inflammatory cytokines, chemokines, NF-kB1 and c-Fos in primary neuronal cultures. Primary neurons were incubated with either DSS-EV, SD-EV or PBS control for 24h. mRNA levels of genes including TNFα (A), IL-1β (B), IL-6 (C), CCL2 (D), CCL5 (E), CCL12 (F), iNOS (G), NF-kB (H) and c-Fos (I) were semi-quantified by real-time PCR and compared among DSS-EV, SD-EV and PBS control groups using One-way ANOVA test. The mRNA levels were normalized with GAPDH. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01.
Figure 4. Brain-derived EVs from hypertensive DSS rats increase mRNA levels of inflammatory cytokines, chemokines, NF-kB1 and c-Fos in primary neuronal cultures. Primary neurons were incubated with either DSS-EV, SD-EV or PBS control for 24h. mRNA levels of genes including TNFα (A), IL-1β (B), IL-6 (C), CCL2 (D), CCL5 (E), CCL12 (F), iNOS (G), NF-kB (H) and c-Fos (I) were semi-quantified by real-time PCR and compared among DSS-EV, SD-EV and PBS control groups using One-way ANOVA test. The mRNA levels were normalized with GAPDH. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01.
Preprints 97239 g004
Figure 5. Brain-derived EVs from hypertensive rats increase mtROS in primary neuronal cultures. Primary neurons were incubated with DSS-EV, SD-EV or PBS control for 24h. The mRNA levels of CYBA (A) and CYBB (B) were compared among DSS-EV, SD-EV and PBS groups and normalized with GAPDH. (C) After 24h, primary neurons were fixed with 4% PFA and stained with Hoechst (shown in blue) and MitoProbe (shown in red) for 30 min. Scale bar of the images is 100 µm. (D)Total fluorescent area of MitoProbe was quantified and normalized to PBS control. Each data point represents a summary data of ROS levels from multiple microscopic views of a cell sample. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001.
Figure 5. Brain-derived EVs from hypertensive rats increase mtROS in primary neuronal cultures. Primary neurons were incubated with DSS-EV, SD-EV or PBS control for 24h. The mRNA levels of CYBA (A) and CYBB (B) were compared among DSS-EV, SD-EV and PBS groups and normalized with GAPDH. (C) After 24h, primary neurons were fixed with 4% PFA and stained with Hoechst (shown in blue) and MitoProbe (shown in red) for 30 min. Scale bar of the images is 100 µm. (D)Total fluorescent area of MitoProbe was quantified and normalized to PBS control. Each data point represents a summary data of ROS levels from multiple microscopic views of a cell sample. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001.
Preprints 97239 g005
Figure 6. Brain-derived EVs from hypertensive rats increase mtROS in primary neuronal cultures in a time-dependent manner. (A) Primary neurons were incubated with DSS-EV, SD-EV, or PBS for a series of time-6h, 24h, 48h and 72h. After EV incubation, neurons were immediately stained with Hoechst (shown in blue) and MitoProbe (shown in red) for 30 min. Scale bar of the images is 100 µm. (B)Total fluorescent area of MitoProbe was quantified and normalized to control-6h group. Each data point represented a summary data of ROS levels from multiple microscopic views of a cell sample. Graphs indicate mean ± SEM. One-way ANOVA test is performed to compare fluorescence of different groups treated for the same amount of time. * P< 0.05, ** P<0.01, *** P<0.001.
Figure 6. Brain-derived EVs from hypertensive rats increase mtROS in primary neuronal cultures in a time-dependent manner. (A) Primary neurons were incubated with DSS-EV, SD-EV, or PBS for a series of time-6h, 24h, 48h and 72h. After EV incubation, neurons were immediately stained with Hoechst (shown in blue) and MitoProbe (shown in red) for 30 min. Scale bar of the images is 100 µm. (B)Total fluorescent area of MitoProbe was quantified and normalized to control-6h group. Each data point represented a summary data of ROS levels from multiple microscopic views of a cell sample. Graphs indicate mean ± SEM. One-way ANOVA test is performed to compare fluorescence of different groups treated for the same amount of time. * P< 0.05, ** P<0.01, *** P<0.001.
Preprints 97239 g006
Figure 7. Brain-derived EVs from DSS hypertensive rats increase mRNA levels of inflammatory cytokines, chemokines and FOSL1 in the PVN of SD rats. SD rats were administrated either DSS-EV (n=4) or SD-EV (n=4) into the right lateral ventricle and brain PVN were punched out 6h after ICV injection. PVN mRNA levels of genes including TNFα (A), IL-1β (B), IL-6 (C), CCL2 (D), CCL5 (E), CCL12 (F), iNOS (G), NF-kB (H) and FOSL1 (I) were semi-quantified by real-time PCR and compared between DSS-EV and SD-EV groups. The mRNA levels were normalized with GAPDH. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01.
Figure 7. Brain-derived EVs from DSS hypertensive rats increase mRNA levels of inflammatory cytokines, chemokines and FOSL1 in the PVN of SD rats. SD rats were administrated either DSS-EV (n=4) or SD-EV (n=4) into the right lateral ventricle and brain PVN were punched out 6h after ICV injection. PVN mRNA levels of genes including TNFα (A), IL-1β (B), IL-6 (C), CCL2 (D), CCL5 (E), CCL12 (F), iNOS (G), NF-kB (H) and FOSL1 (I) were semi-quantified by real-time PCR and compared between DSS-EV and SD-EV groups. The mRNA levels were normalized with GAPDH. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01.
Preprints 97239 g007
Figure 8. Brain-derived EVs from DSS hypertensive rats increase mRNA levels of inflammatory cytokines, chemokines and FOSL1 in the LT of SD rats. SD rats were administered either DSS-EV (n=4) or SD-EV (n=4) into the right lateral ventricle and brain LT were punched out 6h after ICV injection. LT mRNA levels of genes including TNFα (A), IL-1β (B), IL-6 (C), CCL2 (D), CCL5 (E), CCL12 (F), iNOS (G), NF-kB (H) and FOSL1 (I) were semi-quantified by real-time PCR and compared between DSS-EV and SD-EV groups. The mRNA levels were normalized with GAPDH. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01.
Figure 8. Brain-derived EVs from DSS hypertensive rats increase mRNA levels of inflammatory cytokines, chemokines and FOSL1 in the LT of SD rats. SD rats were administered either DSS-EV (n=4) or SD-EV (n=4) into the right lateral ventricle and brain LT were punched out 6h after ICV injection. LT mRNA levels of genes including TNFα (A), IL-1β (B), IL-6 (C), CCL2 (D), CCL5 (E), CCL12 (F), iNOS (G), NF-kB (H) and FOSL1 (I) were semi-quantified by real-time PCR and compared between DSS-EV and SD-EV groups. The mRNA levels were normalized with GAPDH. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01.
Preprints 97239 g008
Figure 9. Brain-derived EVs from hypertensive rats increase mtROS in the PVN of SD rats. (A) Representative images showed PVN ROS levels in different brain cells (NeuN for neurons, GFAP for astrocytes, Iba1 for microglia, all show in green) in SD-EV-treated and DSS-EV-treated rats. Scale bar of the images is 50 µm. (B) Total fluorescent area of MitoProbe was quantified and normalized to control. Each data point represents the average fluorescent area of multiple microscopic views of a PVN region. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001. (DAPI: 4′,6-diamidino-2-phenylindole dihydrochloride).
Figure 9. Brain-derived EVs from hypertensive rats increase mtROS in the PVN of SD rats. (A) Representative images showed PVN ROS levels in different brain cells (NeuN for neurons, GFAP for astrocytes, Iba1 for microglia, all show in green) in SD-EV-treated and DSS-EV-treated rats. Scale bar of the images is 50 µm. (B) Total fluorescent area of MitoProbe was quantified and normalized to control. Each data point represents the average fluorescent area of multiple microscopic views of a PVN region. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001. (DAPI: 4′,6-diamidino-2-phenylindole dihydrochloride).
Preprints 97239 g009
Figure 10. Brain-derived EVs from hypertensive rats increase mtROS in the LT of SD rats. (A) Representative images showed LT ROS levels in different brain cells in SD-EV-treated and DSS-EV-treated rats. Scale bar of the images is 50 µm. (B) Total fluorescent area of MitoProbe was quantified and normalized to control. Each data point represents the average fluorescent area of multiple microscopic views of a LT region. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001.
Figure 10. Brain-derived EVs from hypertensive rats increase mtROS in the LT of SD rats. (A) Representative images showed LT ROS levels in different brain cells in SD-EV-treated and DSS-EV-treated rats. Scale bar of the images is 50 µm. (B) Total fluorescent area of MitoProbe was quantified and normalized to control. Each data point represents the average fluorescent area of multiple microscopic views of a LT region. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001.
Preprints 97239 g010
Figure 11. Brain-derived EVs from hypertensive rats increase mtROS in the PVN of SD rats. (A) Representative images demonstrated ROS fluorescence in the identified PVN region. Yellow arrows indicate mtROS + cells. Scale bar of the images is 20 µm. (B) Total fluorescent area of MitoProbe was quantified and normalized to control. Each data point represents a microscopic view of a PVN region. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001.
Figure 11. Brain-derived EVs from hypertensive rats increase mtROS in the PVN of SD rats. (A) Representative images demonstrated ROS fluorescence in the identified PVN region. Yellow arrows indicate mtROS + cells. Scale bar of the images is 20 µm. (B) Total fluorescent area of MitoProbe was quantified and normalized to control. Each data point represents a microscopic view of a PVN region. Graphs indicate mean ± SEM. * P< 0.05, ** P<0.01, *** P<0.001.
Preprints 97239 g011
Figure 12. The hypothesized interplay between brain-derived EVs and hypertension development in hypertensive DSS rats. High salt diet induces the generation of brain-derived EVs containing hypertension-associated factors. These hypertension-related EVs target cardiovascular regions including LT and PVN and trigger neurons to elevate levels of FOSL1, cytokines, chemokines, and mitochondrial ROS. Consequently, this results in neuroexcitation, neuroinflammation and oxidative stress, collectively contributing to the onset and/or progression of hypertension.
Figure 12. The hypothesized interplay between brain-derived EVs and hypertension development in hypertensive DSS rats. High salt diet induces the generation of brain-derived EVs containing hypertension-associated factors. These hypertension-related EVs target cardiovascular regions including LT and PVN and trigger neurons to elevate levels of FOSL1, cytokines, chemokines, and mitochondrial ROS. Consequently, this results in neuroexcitation, neuroinflammation and oxidative stress, collectively contributing to the onset and/or progression of hypertension.
Preprints 97239 g012
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
Prerpints.org logo

Preprints.org is a free preprint server supported by MDPI in Basel, Switzerland.

Subscribe

© 2024 MDPI (Basel, Switzerland) unless otherwise stated