Macrophages, one of the most important phagocytic cells of the immune system, are highly plastic and are known to exhibit diverse roles under different pathological conditions. The ability to repolarize macrophages from pro-inflammatory (M1) to anti-inflammatory (M2) or vice versa offers a promising therapeutic approach for treating various diseases such as traumatic injury and cancer. Herein, it is demonstrated that macrophage-engineered vesicles (MEVs) generated by disruption of macrophage cellular membranes can be used as nanocarriers capable of reprogramming macrophages and microglia toward either pro- or anti-inflammatory phenotypes. MEVs can be produced at high yields and easily loaded with diagnostic molecules or chemotherapeutics and delivered to both macrophages and cancer cells in vitro and in vivo. Overall, MEVs show promise as potential delivery vehicles for both therapeutics and their ability to controllably modulate macrophage/microglia inflammatory phenotypes.
Macrophages, one of the most important phagocytic cells of the immune system, are highly plastic and are known to exhibit diverse roles under different pathological conditions. The ability to repolarize macrophages from pro-inflammatory (M1) to anti-inflammatory (M2) or vice versa offers a promising therapeutic approach for treating various diseases such as traumatic injury and cancer. Herein, it is demonstrated that macrophage-engineered vesicles (MEVs) generated by disruption of macrophage cellular membranes can be used as nanocarriers capable of reprogramming macrophages and microglia toward either pro- or anti-inflammatory phenotypes. MEVs can be produced at high yields and easily loaded with diagnostic molecules or chemotherapeutics and delivered to both macrophages and cancer cells in vitro and in vivo. Overall, MEVs show promise as potential delivery vehicles for both therapeutics and their ability to controllably modulate macrophage/microglia inflammatory phenotypes.
Macrophages are an
essential component of the innate immune system
where they play a diverse role. Macrophage function includes clearing
waste materials such as cellular debris and participating in tissue
repair and remodeling that occurs during wound healing.[1] They also serve as a defense against bacterial
infections and other pathogens largely through phagocytosis.[2,3] Additionally, they are integral to the initiation of an adaptive
immune response through their antigen presenting capabilities.[4] As a result of this versatile role, macrophages
exhibit a range of functional activities which are often driven by
stimuli in the surrounding environment.[5] Macrophages exist in a continuum of polarization states between
a pro-inflammatory phenotype, classified as M1, and an anti-inflammatory
phenotype, classified as M2.[6] The polarization
state is often mediated by environmental signals such as cytokines,
fatty acids, and components from microorganisms such as lipopolysaccharides
(LPSs).[7,8] Pro-inflammatory macrophages are characterized
by the production of nitric oxide and the release of high levels of
inflammatory cytokines including IL-12, TNF-α, and IL-1β.1
Anti-inflammatory macrophages secrete cytokines which can dampen the
immune response such as IL-10 and IL-4.[9]The expression of specific macrophage cytokines is implicated
in
the progression of several disease states. For example, recent studies
have shown that macrophages are involved in the progression of cancer,
inflammatory diseases, and infectious diseases.[10] In the tumor microenvironment, macrophages exhibit an anti-inflammatory
phenotype and are known as alternatively activated or tumor-associated
macrophages (TAMs).[11] While IFN-γ
and IL-12 release by pro-inflammatory macrophages have an anti-angiogenic
effect and can block the formation of the new blood vessels in the
tumor microenvironment, TAMs suppress production of these cytokines.[12−16] Factors released by cancer cells in the tumor microenvironment cause
TAMs to become tumor-supportive assisting in growth, tissue remodeling,
angiogenesis, and metastasis.[13,17] Tumor progression is
further supported by TAMs which produce reduced levels of the major
histocompatibility complex (MHC)-II which suppresses the anti-tumor
adaptive immune response.[18,19] Macrophages also play
a critical role in the inflammatory response such as during spinal
cord injury (SCI).[20] As the blood–brain
barrier is compromised following SCI, peripheral macrophages rapidly
invade the spinal cord and contribute to both pathological and reparative
processes.[21] While pro-inflammatory macrophages
contribute to neurodegeneration and tissue loss after SCI, anti-inflammatory
macrophages contribute to tissue remodeling and axon regeneration.[22−24] Control of macrophage phenotype through the ability to shift therapeutically
between pro-inflammatory and anti-inflammatory polarizations has been
proposed as a potential treatment for diseases such as some types
of cancer and traumatic injury.[25,26] Under different pathological
conditions, macrophages exhibit heterogeneity across a continuum of
polarization states. The ability to repolarize macrophages from one
phenotype to another is a promising technique which might enable alternative
forms of treatment for several diseases. For example, repolarizing
TAMs toward a pro-inflammatory phenotype is an attractive means to
sensitize cancer to immunotherapy.[27,28] Similarly,
repolarizing pro-inflammatory macrophages toward anti-inflammatory
phenotypes, thereby reducing the potential neurotoxic effects of M1
macrophages, could be a promising approach for treating SCI and stroke.[9,24,29]Studies have shown that
endogenous extracellular vesicles (EEVs)
such as exosomes obtained from immune cells such as macrophages and
dendritic cells possess the ability to repolarize TAMs to pro-inflammatory
macrophages in the tumor microenvironment.[30−32] Despite their
promise in shifting macrophage phenotype as a therapeutic approach,
EEV-based therapies are still challenged by low production yields
and difficulties in separating target vesicles from other similarly
sized vesicles.[33] Vesicles artificially
generated from cellular membranes have been found to mimic many of
the properties of EEVs.[28,33−38] For example, recent studies demonstrated that vesicles derived from
cellular membranes of RAW264.7 cells can stimulate anti-inflammatory
macrophages toward a pro-inflammatory phenotype. Studies have also
shown that cell-derived vesicles from tumor cells exhibit targeted
delivery back to the cell of origin.[36]In the present study, we generated vesicles from mouse bone marrow-derived
macrophages (BMDMs) and demonstrate that we can tune their capability
to repolarize macrophages toward either pro- or anti-inflammatory
phenotypes. We also characterized these macrophage-engineered vesicles
(MEVs) to show that they are similar in size to EEVs and exhibit cell
targeting capability for delivery of therapeutics to both cancer cells
and macrophages.
Results and Discussion
Characterization of MEVs
MEVs are generated through
mechanical disruption of the cell membrane into nano-sized fragments
which reform into vesicles. Here, we used a prechilled nitrogen decompressor
and maintained BMDMs at a pressure of 300 psi for at least 5 min.
The sudden release of pressure causes the cell membrane to fragment,
and because the phospholipids composing the membrane are amphipathic,
the hydrophobic effect drives these fragments to spontaneously form
vesicles in aqueous solutions. These vesicles are separated from cellular
debris by a series of centrifugation and ultracentrifugation steps
as depicted in Scheme . Vesicles are generated in the presence of the solution in which
the cells were initially suspended, leading to the encapsulation of
any hydrophilic therapeutic or other cargo present in the aqueous
solution during vesicle generation. Figure A shows a fluorescence image of MEVs generated
by nitrogen cavitation in the presence of a fluorescein-containing
solution. Fluorescein is a fluorescent dye that is soluble in an aqueous
medium and is entrapped within the vesicles during their formation.
Green punctate regions in the fluorescence image indicate the presence
of fluorescein inside the vesicles and the successful loading of cargo
during vesicle generation. Similarly, MEVs can be labeled with a lipophilic
dye such as DiI. The fluorescence image in Figure B shows red punctate regions corresponding
to DiI incorporation into the vesicle membrane.
Scheme 1
Schematic Illustrating the Approach of Generating Vesicles from Polarized
Bone Marrow-Derived Macrophages
Fully differentiated
unstimulated
macrophages (M0) are polarized into either pro-inflammatory macrophages
(M1) or anti-inflammatory macrophages (M2). Nitrogen cavitation is
then used to fragment the cellular membranes of these cells generating
M1-engineered vesicles (M1EVs) or M2-engineered vesicles (M2EVs).
Vesicles are then separated from cellular fragments by serial centrifugation.
These vesicles are then delivered to either unstimulated or polarized
macrophages to shift the polarization toward the polarization type
of the MEVs.
Figure 1
MEV characterization.
(A) Fluorescence image of MEVs loaded with
a fluorescent dye (fluorescein) during vesicle generation illustrating
the principle of encapsulation of cargo by MEVs. (B) Fluorescence
image of MEVs labeled with the lipophilic dye, DiI. (C) Size distribution
of pro-inflammatory MEVs (M1EVs) measured by nanoparticle tracking
analysis. (D) Size distribution of anti-inflammatory MEVs (M2EVs).
The effective diameter of the vesicles generated by nitrogen cavitation
was between 100–200 nm. (E) Effective diameter of M1 vesicles
in PBS for 3 days measured using dynamic light scattering. (F) 3D
confocal image of an M2 macrophage after delivery of fluorescein (interior)-loaded
M1EVs labeled with DiI (lipid bilayer), showing clear uptake of vesicles
on the surface and inside by macrophages.
MEV characterization.
(A) Fluorescence image of MEVs loaded with
a fluorescent dye (fluorescein) during vesicle generation illustrating
the principle of encapsulation of cargo by MEVs. (B) Fluorescence
image of MEVs labeled with the lipophilic dye, DiI. (C) Size distribution
of pro-inflammatory MEVs (M1EVs) measured by nanoparticle tracking
analysis. (D) Size distribution of anti-inflammatory MEVs (M2EVs).
The effective diameter of the vesicles generated by nitrogen cavitation
was between 100–200 nm. (E) Effective diameter of M1 vesicles
in PBS for 3 days measured using dynamic light scattering. (F) 3D
confocal image of an M2 macrophage after delivery of fluorescein (interior)-loaded
M1EVs labeled with DiI (lipid bilayer), showing clear uptake of vesicles
on the surface and inside by macrophages.
Schematic Illustrating the Approach of Generating Vesicles from Polarized
Bone Marrow-Derived Macrophages
Fully differentiated
unstimulated
macrophages (M0) are polarized into either pro-inflammatory macrophages
(M1) or anti-inflammatory macrophages (M2). Nitrogen cavitation is
then used to fragment the cellular membranes of these cells generating
M1-engineered vesicles (M1EVs) or M2-engineered vesicles (M2EVs).
Vesicles are then separated from cellular fragments by serial centrifugation.
These vesicles are then delivered to either unstimulated or polarized
macrophages to shift the polarization toward the polarization type
of the MEVs.To determine the yield of MEVs
during nitrogen cavitation, we performed
multiple particle tracking to extract both the size distribution of
vesicles and their concentration. Particle tracking (Nanosight 300)
determines particle size based on diffusion rates and the concentration
by counting the number of particles in a defined volume. Vesicles
generated from approximately 100 million M1 BMDMs in culture using
nitrogen cavitation yielded 5.5 × 1010 vesicles (M1EVs).
Similarly, 100 million M2 macrophages yielded 6.9 × 1010 vesicles (M2EVs). The size distribution of MEVs generated by nitrogen
cavitation at 300 psi is primarily between 100–200 nm, which
is similar to that of exosomes.[39,40] The mean diameter of
M1EVs was found to be 144.6 nm (Figure C) and that of M2EVs was found to be 137.8 nm (Figure D). We further measured
the zeta potential of MEVs suspended in the PBS buffer and found that
M1EVs had a zeta potential value of −104 ± 2 mV and M2EVs
had a zeta potential of −84 ± 2 mV. A large negative value
for the zeta potential indicates the stability of MEVs in aqueous
solution.[33,41−43] These initial characterization
studies show that vesicles from BMDMs can be generated with a similar
size to exosomes. Additionally, we were able to produce a large number
of vesicles from a relatively small volume of tissue culture without
the need to wait for long periods of time for the production of EEVs
through normal physiological processes.We next tested the stability
of MEVs over time to determine their
potential suitability as a drug delivery vehicle where they would
be required to circulate within the human body for a period of time
before delivery of cargo to a specific site. We tested the stability
of MEVs generated by nitrogen cavitation by incubating them in solution
for 3 consecutive days. We monitored vesicle size over time to determine
the extent of aggregation. The size of MEVs remained relatively constant
for the first 2 days, signifying the stability of MEVs over this interval.
After 48 h, the stability gradually decreased, as shown by the increase
in the size of the vesicles (Figure E). Thus, in addition to their high yields, MEVs are
also stable for times compatible with the likely circulation time
needed for therapeutic delivery.
MEV Delivery to Macrophages
Previous studies have shown
that vesicles generated from cellular membranes can be used as efficient
therapeutic delivery vehicles to deliver cargo to the interior of
the cell.[36] In order to investigate the
ability of MEVs to deliver cargo into the interior of macrophages,
we first generated MEVs from BMDMs stimulated to be M1 (INF-γ
+ LPS) and loaded with fluorescein. The M1EVs were labeled concomitantly
with the lipophilic dialkylcarbocyanine fluorescent dye, DiI, which
embeds into the lipid bilayer of the vesicles. Both fluorescent labels
were separated from the unloaded dye using a size exclusion column.
We then incubated BMDMs stimulated with IL-4, to generate M2 cells,
with the M1EVs. After incubation with these M2 macrophages, we observed
bright fluorescence after 2 h when imaged with confocal microscopy
under both 488 nm (fluorescein) and 532 nm (DiI) excitation (Figure S1). M1EVs were evident inside of M2 macrophages,
as shown from the fluorescence puncta both inside and on the membrane
of macrophages (Figure F). At 2 h after incubation, most vesicles remain intact and isolated
on the membrane as well as inside of the cell.After confirming
the delivery of M1EVs onto M2 macrophages, we next performed a set
of experiments to determine if vesicles generated from M1 and M2 BMDMs
possess different macrophage targeting capabilities. We generated
DiI-labeled vesicles from an equal number of M1 or M2 macrophages.
We then determined the efficiency of delivery to M1 and M2 macrophages
by measuring the fluorescence signal at various time points over 2
h. We added M1EVs and M2EVs separately to M1 or M2-stimulated BMDMs.
Vesicles were then rinsed from the cells, and the cells were subsequently
imaged using wide-field microscopy. We found time-dependent uptake
of MEVs by macrophages (Figure A–D). While both M1EVs and M2EVs were efficiently delivered
to M1 and M2 macrophages, M2 macrophages showed a higher uptake of
both M1EVs and M2EVs compared to M1 macrophages (Figure E,F).
Figure 2
Macrophage targeting
specificity. (A–D) Widefield fluorescence
images of M2 macrophages showing the time-dependent uptake of DiI-labeled
M1EVs by M2 macrophages, scale bar = 30 μm. (E) Comparison of
M1EVs delivered to M1 macrophages (black) vs M1EVs delivered to M2
macrophages (red). (F) Comparison of M2EVs delivered to M1 macrophages
(black) vs M2EVs delivered to M2 macrophages (red). (G) Comparison
of M2 Macrophages with M1EV delivery (green), M2 macrophages incubated
with dynasore (80 μM) for 30 min prior to M1EV addition (gold),
and M2 macrophages with M1EV delivery in the presence of DMSO (delivery
vehicle) (red). Each data point is the average of five independent
replicates (n = 5). Norm. ID is the mean integrated
density of the image normalized to the mean integrated density value
of M2 macrophages before adding vesicles. The data are presented as
the mean ± SEM. **p < 0.01 indicates a significant
difference in the vesicle uptake by macrophages at respective time
points.
Figure 3
Reprogramming
macrophage polarization with MEVs. (A) Measurement
of the pro-inflammatory cytokines and nitric oxide (NO) released by
M0, M1, and M2 macrophages compared to the production of cytokines
released after M1EV delivery to M2 and M0 macrophages. Both M0 and
M2 macrophages are polarized toward an M1 phenotype upon interaction
with M1EVs in vitro. (B) Quantification of pro-inflammatory
cytokines and NO expression by M0 and M1 macrophages when incubated
with M2EVs for 24 h in vitro. Pro-inflammatory cytokines
released by M1 macrophages are significantly reduced upon interaction
with M2EVs, which shows that M2EVs are capable of reprogramming M1
macrophages toward an M2 phenotype. Each data point is the average
of at least three experiments (n = 3). The data are
presented as the mean ± SEM.
Macrophage targeting
specificity. (A–D) Widefield fluorescence
images of M2 macrophages showing the time-dependent uptake of DiI-labeled
M1EVs by M2 macrophages, scale bar = 30 μm. (E) Comparison of
M1EVs delivered to M1 macrophages (black) vs M1EVs delivered to M2
macrophages (red). (F) Comparison of M2EVs delivered to M1 macrophages
(black) vs M2EVs delivered to M2 macrophages (red). (G) Comparison
of M2 Macrophages with M1EV delivery (green), M2 macrophages incubated
with dynasore (80 μM) for 30 min prior to M1EV addition (gold),
and M2 macrophages with M1EV delivery in the presence of DMSO (delivery
vehicle) (red). Each data point is the average of five independent
replicates (n = 5). Norm. ID is the mean integrated
density of the image normalized to the mean integrated density value
of M2 macrophages before adding vesicles. The data are presented as
the mean ± SEM. **p < 0.01 indicates a significant
difference in the vesicle uptake by macrophages at respective time
points.Dynamin activity is an integral
component of both endocytosis and
phagocytosis.[44,45] Dynasore, a dynamin inhibitor,
has been widely used to study the process of internalization of exosomes
from the surface of the macrophage.[44,46,47] Recent studies showed that the knockdown of dynamin
2 almost completely inhibited the uptake of exosomes by RAW264.7 macrophage-like
cells.[48] Since MEVs mimic exosomes, we
next investigated whether they exhibited a similar mechanism of vesicle
internalization by macrophages. We compared the uptake of fluorescently
labeled M1EVs by M2 BMDMs in the presence and absence of dynasore.
Dynasore (80 μM) was added to cultured macrophages 20 min prior
to the addition of labeled vesicles. M2 macrophages were left to incubate
with M1EVs for 2 h and subsequently imaged by wide-field microscopy.
We found that dynasore had no effect on the cell viability and macrophages
looked morphologically similar with and without treatment. We calculated
the integrated density of the fluorescence signal to compare the uptake
of M1EVs by M2 macrophages. We found that dynasore resulted in 64%
reduction in uptake of vesicles relative to the control (Figure G). We performed
similar vesicle uptake control experiments in the presence of the
vehicle, DMSO, at an equal concentration. We found that there was
no significant effect of DMSO on the M1EV uptake process by M2 macrophages
relative to the control with no DMSO or dynasore. Macrophages are
well-established phagocytotic cells. The loss of cellular uptake with
dynamin inhibition coupled with the observation of intact vesicles
inside macrophages indicates that macrophages are likely internalizing
vesicles via phagocytosis. These results demonstrate
that MEVs exhibit similar properties to exosomes and are able to target
macrophages.
MEVs Reprogram Macrophage Phenotypes
Previous studies
have shown that exosomes generated from M1 or M2 macrophages can be
used to differentiate naive macrophages into the corresponding pro-
or anti-inflammatory phenotypes.[30,49] After confirming
that MEVs can be delivered to macrophages, we tested their ability
to differentiate naive (M0) macrophages. M1EVs were generated using
nitrogen cavitation from cultured M1 macrophages and then delivered
to M0 macrophages to compare cytokine production from M0 macrophages,
M1 macrophages, and M0 macrophages incubated with M1EVs. Macrophage-conditioned
media (MCM) were extracted from the cell culture of each sample. We
performed a meso-scale delivery Sevenplex ELISA that simultaneously
tested for seven mouse pro-inflammatory cytokines (IFN-γ, IL-10,
IL-12p70, IL-1β, IL-6, KC/GRO, and TNF-α) in the cell
culture supernatant. We observed clear pro-inflammatory markers from
M1 macrophages and virtually no measurable levels for most of the
cytokines in the M0 culture (Figure A). We also found that M1EVs
can reprogram M0 macrophages toward an M1 phenotype as evidenced by
the increased production of each of the pro-inflammatory cytokines
(n = 3/group) from undetectable to 6 ± 6% (IFN-γ),
45 ± 2% (IL-10), 29 ± 1% (IL-12p70), 81 ± 63% (IL-1β),
12 ± 5% (IL-6), 36 ± 13% (KC/GRO), and 20 ± 8% (TNF-α)
of the average concentration seen for M1 macrophages (Figures A and S2). These results verified that M1EVs can stimulate M0 BMDMs
toward a pro-inflammatory phenotype. We did not observe a shift toward
a pro-inflammatory phenotype when M2MEVs were added to M0 macrophages.
Our results reinforce the claim that MEVs exhibit similar properties
to exosomes and can be used to polarize naive macrophages.Reprogramming
macrophage polarization with MEVs. (A) Measurement
of the pro-inflammatory cytokines and nitric oxide (NO) released by
M0, M1, and M2 macrophages compared to the production of cytokines
released after M1EV delivery to M2 and M0 macrophages. Both M0 and
M2 macrophages are polarized toward an M1 phenotype upon interaction
with M1EVs in vitro. (B) Quantification of pro-inflammatory
cytokines and NO expression by M0 and M1 macrophages when incubated
with M2EVs for 24 h in vitro. Pro-inflammatory cytokines
released by M1 macrophages are significantly reduced upon interaction
with M2EVs, which shows that M2EVs are capable of reprogramming M1
macrophages toward an M2 phenotype. Each data point is the average
of at least three experiments (n = 3). The data are
presented as the mean ± SEM.We next performed a set of experiments to determine the effect
of vesicle delivery on macrophages that have already been polarized
toward a specific phenotype. We examined the ability of pro-inflammatory
vesicles to influence anti-inflammatory macrophages as well as the
ability of anti-inflammatory vesicles to influence pro-inflammatory
macrophages. To test the capability of MEVs to reprogram already polarized
macrophages, we treated cultured M2 BMDMs with M1EVs and compared
the cytokine production from M1 macrophages, M2 macrophages, and M2
macrophages exposed to M1EVs. For M2 macrophages that had been treated
with M1EVs, we found a significant increase in the production of cytokines
(n = 3/group) from undetectable to 10 ± 1% (IFN-γ),
91 ± 20% (IL-10), 37 ± 12% (IL-12p70), 77 ± 30% (IL-1β),
44 ± 20% (IL-6), 85 ± 27% (KC/GRO), and 55 ± 18% (TNF-α)
of the average concentration seen for M1 macrophages (Figures A and S3). We further performed a Griess assay to assess the nitric
oxide (NO) presence in MCM collected from M1, M2, and M2 macrophages
that were incubated with M1EVs. We found a significant increase in
the production of nitric oxide from negligible initial amounts in
M2 to 41 ± 0.4% of the average concentration seen for M1 macrophages
when M2 macrophages were treated with M1EVs. Comparing M2 versus M0
macrophages treated with M1EVs, M1EVs were able to induce a greater
increase in pro-inflammatory indicators in M2 macrophages. Control
studies showed that MEVs themselves only have marginal amounts of
cytokines and they would not be responsible for the amounts seen after
the shift (Figure S4). These results indicate
that M1EVs can repolarize M2 BMDMs toward a pro-inflammatory M1 phenotype
as evidenced by the increase in inflammatory cytokine production.We also added M2 vesicles to cultured M0 macrophages and compared
the cytokine production from M1 macrophages, M0 macrophages, and M0
macrophages incubated with M2EVs (Figure B). We found that upon incubation of M0 macrophages
with M2EVs, M0 macrophages did not produce most of the pro-inflammatory
cytokines, indicating that M2EVs do not induce most of the pro-inflammatory
properties in target M0 macrophages (Figure B). This indicates that the delivery of vesicles
themselves does not simply generate a pro-inflammatory response that
was seen only with M1EV delivery. We further compared the cytokine
production from M1 macrophages, M2 macrophages, and M1 macrophages
incubated with M2EVs. We observed clear pro-inflammatory markers from
M1-macrophages but virtually no levels for most of the pro-inflammatory
cytokines in the M2 culture. We further observed a clear decrease
in the levels of all the pro-inflammatory markers for M1 macrophages
that were incubated with M2EVs (Figure B). M2EVs significantly attenuated cytokine released
by M1 macrophages by 99% (IFN-γ), 85% (IL-10), 74% (IL-12p70),
9% (IL-1β), 72% (IL-6), 78% (KC/GRO), and 96% (TNF-α)
of the average concentration seen for M1 macrophages (Figures B and S5). We also observed a significant reduction (49%) in NO
production by M1 macrophages that were incubated with M2EVs compared
to the average concentration seen for M1 macrophages. This indicates
that M2EVs can reprogram M1 macrophages away from a pro-inflammatory
phenotype. This has important implications on the use of MEVs to reprogram
macrophage
phenotype as part of a therapeutic approach. The phenotype used to
generate MEVs appears to dictate their ability to reprogram both naive
and already polarized macrophages toward a desired phenotype. The
ability to alter macrophage inflammatory properties could be an important
therapeutic tool to reprogram anti-inflammatory macrophages to a pro-inflammatory
phenotype.
Repolarization of Microglia
Microglia
are immune cells
present in the central nervous system.[50] Similar to macrophages, microglia are also polarized to M1 and M2
phenotypes and play pro- and anti-inflammatory roles, respectively.[51] To determine if macrophage-derived vesicles
are able to reprogram microglia phenotypes, we delivered vesicles
derived from macrophages to primary microglia cells in culture. We
induced M2 microglia polarization using IL-4. M1EVs generated from
bone marrow-derived M1 (LPS + INF-γ) macrophages were then added
to cultured M2 microglia to compare the cytokine production from M1
microglia, M2 microglia, and M2 microglia incubated with M1EVs. We
observed clear pro-inflammatory markers from M1 microglia and virtually
no measurable levels for most of the cytokines in the M2 microglia
culture. We also observed an increase in the levels of all the pro-inflammatory
markers for M2 microglia that were incubated with M1EVs (Figure S6). The ability of M1EVs to reprogram
M2-polarized microglia toward a pro-inflammatory (M1) phenotype in
a controlled fashion suggests that we can reprogram both macrophage
and microglia inflammatory properties by the delivery of vesicles
that are targeted to specific cell types. Furthermore, similar to
macrophage exosomes, MEVs can deliver the corresponding signals to
unstimulated macrophages and differentiate them into specific phenotypes.
This has implications for therapeutic approaches where the goal is
to either initiate or suppress a pro-inflammatory response.The ability of MEVs to reprogram immune cells is likely due to membrane-bound
proteins on the surface of the vesicle. As they are derived from parent
immune cells, MEVs carry a wide range of transmembrane proteins, membrane-bound
cytokines, and other cell signaling endogenous ligands. These proteins
can interact with membrane receptors on the target cell initiating
signaling cascades that lead to repolarization.
Macrophage-Induced
Neurotoxicity
Classically activated
M1 macrophages, stimulated with LPS + IFN-γ, are neurotoxic
and contribute to neuronal degeneration by releasing high levels of
specific pro-inflammatory cytokines and oxidative metabolites such
as nitric oxides.[9,52] Pro-inflammatory cytokines such
as TNF-α, IFN-γ, IL-12, and IL-6 have been found to be
involved in neuronal death.[53−55] Alternatively activated, M2 macrophages
do not induce cell death but rather help the repair process by releasing
growth factors and anti-inflammatory cytokines.[22,23] Recent studies showed that azithromycin (AZM), a frequently used
macrolide antibiotic, also possesses the ability to reduce macrophage-mediated
neurotoxicity by altering macrophage phenotype from pro-inflammatory
to anti-inflammatory.[9,56] We sought to determine if MEV-induced
reprogramming of M1 macrophages toward an M2 phenotype could moderate
neurotoxicity in a similar fashion to AZM.[9] We used LPS + IFN-γ to stimulate an M1 macrophage phenotype
and IL-4 to stimulate an M2 phenotype. We generated vesicles from
M2 macrophages and then exposed M1 macrophages to M2 MEVs, which reduces
the production of pro-inflammatory cytokines (Figure B). We collected the supernatant from M1
macrophages and M1 macrophages that had been exposed to M2EVs for
24 h. Media from both conditions were used to separately treat differentiated
Neuro-2A (N2a) cells. N2a cells are a mouse neural crest-derived cell
line which possess the ability to differentiate into cells with neuron-like
characteristics. We found that media from M1 macrophages resulted
in a 40% reduction in neuron viability relative to the control media
(Figure A) (n = 5/group). We further found that media collected from
M1 macrophages that had been exposed to M2EVs for 24 h resulted in
no significant reduction in neuron viability relative to the control
(Figure A). This is
likely due to the significant reduction of pro-inflammatory cytokines
by M1 macrophages upon incubation with M2EVs (comparable to AZM-treated
M1 cells, Figure B),
and the corresponding increase in neuron viability suggests that pro-inflammatory
cytokines released by M1 macrophages play a major role in the cytotoxicity
of N2a cells. These results also indicate that reprogramming M1 macrophages
toward an anti-inflammatory phenotype using M2EVs is comparable to
an immunomodulatory pharmacological agent and reduces the cytotoxicity
normally observed with pro-inflammatory macrophages.
Figure 4
Macrophage-mediated neurotoxicity.
(A) The effect of macrophage-conditioned
media on the viability of differentiated N2a cells was determined
using a cell viability assay for control cells with growth media (pink),
for the supernatant from M1 macrophage culture (green), and for the
supernatant from M1 macrophage culture after treatment with M2EVs
(blue). (B) Comparative study of the ability of M2EVs and AZM in solution
(10 μM) to reprogram M1 macrophages toward an M2 phenotype.
Each data point is the average of five independent replicates (n = 5). **p < 0.01 indicates that the
results are statistically significant. The data are presented as the
mean ± SEM.
Macrophage-mediated neurotoxicity.
(A) The effect of macrophage-conditioned
media on the viability of differentiated N2a cells was determined
using a cell viability assay for control cells with growth media (pink),
for the supernatant from M1 macrophage culture (green), and for the
supernatant from M1 macrophage culture after treatment with M2EVs
(blue). (B) Comparative study of the ability of M2EVs and AZM in solution
(10 μM) to reprogram M1 macrophages toward an M2 phenotype.
Each data point is the average of five independent replicates (n = 5). **p < 0.01 indicates that the
results are statistically significant. The data are presented as the
mean ± SEM.
MEVs for Therapeutic Delivery
Previous studies have
shown that vesicles generated from A549 (lung carcinoma) cells can
target as well as deliver chemotherapeutics to the same cell type
from which they were generated.[36] There
is some concern about the use of cancer cell-derived vesicles for
drug delivery because of the potential for these vesicles to be cleared
by the body’s immune system and that these vesicles might increase
the metastatic potential. We tested MEVs to determine if they had
similar targeting and therapeutic delivery features as were previously
observed for cancer cell vesicles. MEVs lack any cancer characteristics
and would not increase the metastatic potential. We first performed
an experiment to determine the targeting ability of MEVs for A549
cells. We generated vesicles from macrophages and labeled them with
DiI. We then determined the efficiency of delivery of MEVs by measuring
the fluorescence signal at time points over 4 h. We observed an increase
in the fluorescence intensity over time resulting from an uptake of
MEVs by the A549 cells. The uptake of MEVs by A549 cells suggests
that MEVs can serve as a potential drug delivery vehicle in the delivery
of chemotherapeutics (Figure S7). We next
determined if MEVs could be loaded with cisplatin and delivered to
cancer cells while maintaining the efficacy of the therapeutic. We
also compared the specificity of cisplatin delivery onto A549 cells
using M0EVs, M1EVs, and M2EVs (Figure A). We found that empty M0EVs and M2EVs had no significant
effect on A549 cell proliferation. However, M1EVs resulted in 10%
A549 cell death in 24 h. We further generated cisplatin-loaded M0EVs
(Cs-M0EVs), M1EVs (Cs-M1EVs), and M2EVs (Cs-M2EVs) from an equal number
of M0, M1, and M2 macrophages. Previous studies have shown that vesicles
generated using nitrogen cavitation can efficiently encapsulate chemotherapeutics
and are stable for 2 days.[36] Therapeutic-loaded
MEVs were then delivered to cancer cells to determine cytotoxicity.
Cisplatin-loaded M0 and M2 vesicles resulted in 45 and 40% cell death,
respectively, at 24 h. However, cisplatin-loaded M1 vesicles resulted
in a 60% A549 cell death in 24 h (Figure A). This is a clear indication that cisplatin-loaded
M1 MEVs are more efficient in killing cancer cells compared to cisplatin-loaded
M0 and cisplatin-loaded M2 macrophages.
Figure 5
MEVs as biological nanocarriers.
(A) Comparison of targeting specificity
of cisplatin-loaded M0, M1, and M2-engineered vesicles to A549 cells.
Each data point is the average of five independent replicates (n = 5). ANOVA with post hoc Tukey’s HSD was used
to test the significance of the results. **p <
0.01 indicates that the results are statistically significant. The
data are presented as the mean ± SEM. (B) Mice bearing A549 xenografts
were injected with DiR labelled M1EVs, demonstrating that M1EVs can
reach the tumor of the mice.
MEVs as biological nanocarriers.
(A) Comparison of targeting specificity
of cisplatin-loaded M0, M1, and M2-engineered vesicles to A549 cells.
Each data point is the average of five independent replicates (n = 5). ANOVA with post hoc Tukey’s HSD was used
to test the significance of the results. **p <
0.01 indicates that the results are statistically significant. The
data are presented as the mean ± SEM. (B) Mice bearing A549 xenografts
were injected with DiR labelled M1EVs, demonstrating that M1EVs can
reach the tumor of the mice.
In Vivo Delivery of MEVs to Tumor Xenografts
To determine if MEVs exhibited similar targeting features in vivo as observed in cell culture, we generated vesicles
from M1 macrophages and labeled them with a membrane dye, DiR. The
free dye was separated from MEVs using PD Miniprep columns. We found
that M1EVs targeted tumor xenografts (subcutaneous injection A549
cells) implanted in immune-compromised athymic nude (nu/nu) mice.
After the tumor xenograft reached at least 100 mm3, we
injected 2 × 1010 vesicles through the tail vein of
each of the three different mice. We used an IVIS whole animal imager
for in vivo imaging. Imaging was done at 48 and 72
h post injection of labeled vesicles. DiR alone when injected into
the mice as a control showed nonspecific accumulation. We observed
clear delivery of the labeled vesicles to the tumor xenograft at 72
h post injection of labeled vesicles (Figure B). These results verify that M1EVs can specifically
target the tumor tissue in vivo.
Conclusions
In conclusion, BMDMs can be used to engineer nano-sized vesicles
with high yield using nitrogen cavitation. These vesicles can be loaded
with various cargo during their generation and can be used as drug
delivery vehicles both in vitro and in vivo. In addition, MEVs when interacting with the macrophage itself possess
the ability to reprogram macrophages and microglia into specific inflammatory
phenotypes that dictate the macrophage function (e.g., neurotoxicity
and tumor migration). This shows the potential for MEVs as a novel
and versatile therapeutic to target and reprogram macrophages.
Experimental
Section
Animals
We used 2–5-month-old wild-type C57BL/6
mice to extract bone marrow cells. Animals were properly accommodated
in IVC cages by providing enough food and water. All experiments were
performed following the guidelines of the National Institute of Health
and were approved by the Institutional Animal Care and Use Committee
at the University of Kentucky.
Cell Culture
BMDMs
were isolated from both tibias and
femurs of wild-type mice at 2–5 months of age as previously
reported.[23,57] Briefly, mice were first anesthetized and
then killed by cervical dislocation. After removing femurs and tibias
from the carcass, the bone marrow was extracted using a 10 mL syringe
loaded with Roswell Park i Institute (RPMI) Medium into a 50 mL centrifuge
tube. The bone marrow in media was then triturated with an 18-gauge
needle until a single cell suspension was obtained, followed by centrifugation
at 1,200×g for 5 min. The supernatant was carefully
removed, and cells were resuspended in 4 mL of RBC lysis buffer (0.15
M NH4Cl, 10 mM KHCO3, and 0.1 mM Na4EDTA), followed by swirling by hand for 3 min. 6 mL of RPMI media
was then added, followed by centrifugation at 1200×g for 5 min. The supernatant was aspirated off, and the cells were
resuspended in differentiation media (RPMI supplemented with 10% fetal
bovine serum (FBS), 1% penicillin/streptomycin (PS), 1% (4-(2-hydroxyethyl)-1-piperazineethanesulfonic
acid), 0.001% β-mercaptoethanol, 1% glutamine, and 20% supernatant
from sL929 cells) and plated in T-175 cell culture flasks in differentiation
media. sL929 cell lines were maintained in RPMI media supplemented
with 10% FBS, 1% PS, and 1% glutamine. The supernatant from sL929
cells contains the macrophage-colony stimulating factor (MCSF), which
is essential for differentiating bone marrow cells into macrophages.
Differentiation media were replaced on days 2, 4, and 6, and the cells
were replated on day 7 at a cell density of 1 × 106 cells/mL in replating media [Dulbecco’s modified Eagle’s
medium (DMEM) supplemented with 10% FBS, 1% glutamine, and 1% PS).
On day 8, cells were stimulated to M1 [LPS (20 ng/mL; Invivogen) +
IFN-γ (20 ng/mL; eBioscience)] or M2 [IL-4 (20 ng/mL); eBioscience]
macrophages, while the unstimulated macrophages from day 7 were termed
M0 macrophages. For cytokine analysis, the supernatant from stimulated
cells, MCM, was collected after 24 h. Vesicles were added after 12
h of stimulation, and the supernatant was collected after 24 h of
vesicle addition to M1 or M2 macrophages. The MCM obtained were collected
into Eppendorf tubes and stored at −80 °C until the analysis
was done.Primary cultures of microglia were prepared from postnatal
P2 to P4 pups from C57BL/6 mice. Briefly, pups were decapitated, and
brains were kept in Petri dishes filled with ice-cold Hank’s
Balanced Salt Solution (Ca2+, Mg2+, NaHCO3, and phenol red). Brains were dissected, and the hippocampal
region was extracted for microglia isolation and culture. The tissues
were then minced, and the cell suspension was made. The cell suspension
was treated with 2.5% trypsin (quality biological), incubated, and
finally resuspended in the astrocyte culture media containing DMEM
with 10% FBS and 1% PS. Cells were incubated at a density of 2 million
on a poly-l-lysine-coated T75 flask containing astrocyte
culture media. Cell culture media were changed every 3 days until
the flask was confluent with cells. Microglia were detached from astrocytes
and oligodendrocytes by shaking the flasks for 30 min at a speed of
180 rpm.The mouseneuroblastoma cell line (also known as Neuro-2a
or N2a)
was maintained in the N2a cell culture medium composed of 44% DMEM,
45% OPTI–MEM reduced-serum medium, 10% FBS, and 1% PS. A total
of 40,000 N2a cells were plated in each well of a 96-well plate in
N2a media supplemented with 20 μM retinoic acid (Sigma-Aldrich)
and allowed to differentiate for 24 h. Retinoic acid helped N2a cells
to differentiate into cells with neuron-like properties.[58] On day 1, the differentiation media were exchanged
for 100 μL of various MCM in 20 μM retinoic acid and two
controls with and without 20 μM retinoic acid. Cells were further
incubated for 48 h, and the neurotoxicity of MCM was evaluated using
an alamar blue cell proliferation assay.Humanlung cancer (A549)
cells were maintained in the A549 cell
culture medium composed of 89% DMEM, 10% FBS, and 1% PS. A total of
40,000 A549 cells were plated in each well of a 96-well plate and
left to incubate for 12 h at 37 °C. After 12 h, the old growth
media were removed carefully, being sure not to disturb the cells,
and were exchanged with A549 cell media containing cisplatin-loaded
macrophage (M0, M1, and M2)-engineered vesicles or empty (M0, M1,
and M2) vesicles. After 24 h of incubation at 37 °C, the media
were aspirated off and 100 μL of Optimem was added, followed
by 20 μL of alamar blue for the cell viability assay.
Cell Viability
Assay
For cytotoxicity assays, the cell
media from each well of a 96-well plate were exchanged for 100 μL
of Optimem (Invitrogen), followed by the addition of 20 μL of
alamar blue. Cells were then incubated for 35–45 min until
a uniform purple coloration was developed. The resulting fluorescence
was measured using a Tecan 96-well plate reader equipped with an excitation
filer set to 535 nm and the emission filter set to 595 nm. All measurements
were done in quintuplicate (five different wells), and at least three
independent experiments were carried out.
MEV Isolation
Completely differentiated macrophages
from day 8 were used to generate MEVs. The macrophage cell media were
aspirated off from the flask containing macrophages, and the cells
were first washed with PBS. 3 mL of PBS was further added to each
flask, and cells were detached by scraping them, followed by resuspension
in PBS. The cell suspension from all flasks was first collected into
a 50 mL tube, and the total number of cells was counted using a hematocytometer.
The cell slurry collected in the previous step was then centrifuged
at 1200 rpm at 4 °C for 5 min, and the obtained pellets were
resuspended in 10 mL of PBS supplemented with the protease inhibitor.
To fragment the cellular membrane and generate the vesicles, cells
were then subjected to a pressure of 300 psi for 5 min in a prechilled
nitrogen gas decompressor (Parr Instruments Company, IL, USA) on ice.
The pressure was rapidly released to generate fragmentation resulting
in vesicles. The fragmented cell mixture including vesicles was centrifuged
at 4000×g for 10 min at 4 °C. The pellet
obtained was discarded, but the supernatant was centrifuged at 10,000×g for 20 min at 4 °C. The supernatant was again subjected
to ultracentrifugation at 100,000×g for 60 min
at 4 °C to pellet the remaining nanovesicles. The pellet was
washed five times with PBS before being resuspended in 500 μL
of the PBS buffer.
MEV Characterization
MEVs were generated
by nitrogen
cavitation, followed by a series of centrifugation steps as discussed
above. The mean diameter, concentration, and zeta potential of MEVs
were determined via nanoparticle tracking analysis
(NTA) using a Nanosight 300 and a ZetaView PMX-120. Similarly, MEV
stability was determined using dynamic light scattering (DLS). A ZetaPALS
potential Analyzer (Brookhaven Instruments) was used to obtain the
DLS measurements.
MEV Labeling
Cells were detached
from the flask and
counted and resuspended in 9.9 mL of PBS. 100 μL of 100 mM fluorescein
was added to the cell suspension so that the final concentration of
fluorescein becomes 1 mM in the cell suspension. The cell solution
was fragmented using nitrogen cavitation, and the vesicle pellet was
obtained. The pellet was then washed with PBS to remove any unincorporated
fluorescein inside the vesicle. Vesicles were then resuspended in
1 mL of PBS and transferred to a clean ultracentrifuge (UCF) tube
where the vesicle suspension was diluted to 4 mL in PBS. For the complete
removal of the free dye, the diluted vesicle suspension was recentrifuged
at 100,000×g for 60 min at 4 °C. The supernatant
from centrifugation was discarded, and the pellet was washed with
1 mL of the PBS buffer. 500 μL of PBS was added to the UCF tube,
and the pellet was resuspended by pipetting several times. DiI was
then added to the vesicle resuspension such that the final concentration
of the dye becomes 2 μM and left to incubate for 30 min at 37
°C. DiI is a lipophilic dye which gets incorporated into the
lipid bilayer of the vesicle. The free dye molecules were separated
from the fluorescently labeled vesicles using a size exclusion spin
column (PD MidiTrap column). The column was equilibrated first by
running 15 mL of PBS through the column and the column was centrifuged
at 1000g for 2 min to remove any remaining PBS from
the column. Then, 500 μL of the vesicle solution was added carefully
onto the center of the column from the top and centrifuged at 1000g for 2 min to obtain DiI-labeled vesicles loaded with fluorescein.
MEV Imaging
DiI or fluorescein-labeled vesicles were
generated as discussed previously and deposited onto a glass bottom
dish before imaging them using fluorescence microscopy. DiI-labeled
vesicles were imaged using a 532 nm laser of a 1.9 mW power with a
gain of 990 and an exposure time of 200 ms. Similarly, fluorescein-loaded
vesicles were imaged using a 488 nm laser of a 0.8 mW power with a
gain of 990 and an exposure time of 200 ms.
Confocal Imaging
A Nikon A1R laser scanning confocal
microscope equipped with a 60× oil objective was used for confocal
imaging of macrophages that had taken up dye-labeled vesicles. Thus,
the obtained images were analyzed with Nikon image processing software.[59]
MEV Uptake
100 million M1 and 110
million M2 macrophages
were used to prepare M1EVs and M2EVs, respectively, for the study
of MEV uptake by M1 or M2 macrophages. MEVs were generated and labeled
with DiI as mentioned previously. From total 500 μL of each
vesicle suspension, 50 μL of DiI-labeled vesicles was then added
separately to each glass bottom dish containing 90,000 M1 or M2 macrophages.
Imaging was done at 0.5, 1, 1.5, and 2 h using a fluorescence microscope
equipped with a 20× objective with an exposure time of 32 ms.
The macrophage media with fluorescently labeled vesicles were first
removed, and the cells were washed twice with 1 mL of L-15 prior to
the addition of 1 mL of L-15 to the cells for imaging.
Cisplatin-Loaded
MEVs
100 million M0, M1, or M2 cells
were used to generate macrophage-derived, cisplatin-loaded vesicles
and deliver them to A549 cells. Macrophage media were first aspirated
off, and 3 mL of PBS was added to each flask prior to scraping them.
The cell solution was collected into a 50 mL centrifuge tube, and
the number of cells was determined using a hematocytometer. The cell
solution was pelleted at 2000×g for 2 min at
4 °C. The supernatant was discarded, and cells were resuspended
in 8 mL of 8.33 mM cisplatin solution made in PBS with 1 tablet of
the protease inhibitor. The cell solution was nitrogen-cavitated using
a prechilled nitrogen decompressor on ice at 300 psi for 5 min. The
cell lysate obtained was centrifuged at 4000×g for 10 min at 4 °C. The pellet thus obtained was discarded,
and the obtained supernatant was centrifuged at 10,000×g for 20 min at 4 °C. The supernatant obtained was
again subjected to ultracentrifugation at 100,000×g for 60 min at 4 °C to collect the pellet containing cisplatin-loaded
nanovesicles. This final pellet was first washed with 1 mL of PBS
twice and resuspended in 750 μL of PBS. Empty vesicles were
generated using the same procedure discussed above but in the absence
of cisplatin.
Cisplatin Concentration in MEVs
The concentration of
cisplatin loaded in vesicles was determined using inductively coupled
plasma–optical emission spectrometry (ICP–OES).[36] Cisplatin-loaded MEVs were first treated with
1% Triton X-100 to dissolve the lipid bilayer, followed by 70% nitric
acid treatment to release platinum from cisplatin. The resulting solution
was further incubated on a heat block at 60 °C for 2 h, followed
by dilution to 5 mL, such that the final nitric acid concentration
was 10% for analysis using ICP–OES. A standard curve using
platinum standards in 10% nitric acid solution was used to determine
the concentration. Ytterbium was used as an internal standard to compensate
for the internal drift of the instrument. We have previously shown
that vesicles generated by nitrogen cavitation are stable with no
apparent cisplatin leakage for 72 h.[36]
Cytokine Analysis
MEVs were generated as described
before. M1EVs were generated from 100 million M1 macrophages and resuspended
in 500 μL of PBS. The number of vesicles present in the resuspension
was determined using NTA. 5.49 × 109 M1EVs were added
into each well of a 24-well plate containing 1 million M0 and M2 macrophages
in 950 μL of replating media. The plate was left to incubate
at 37 °C for 24 h. After 24 h of incubation, MCM were collected
in an Eppendorf tube (1 mL) and later used for pro-inflammatory cytokine
analysis. M2EVs were generated as before using M2 macrophages. 7.6
× 109 M2EVs were added to each well containing M0
and M1 macrophages. The plate was left to incubate at 37 °C for
24 h before collecting the media for cytokine analysis. We performed
a mouse pro-inflammatory sevenplex assay following the manufacturer’s
protocol. Briefly, 25 μL of calibrators and MCM were added to
each well of a capture antibody-precoated MSD well plate. The plate
was then allowed to incubate for an hour, and the detection antibody
was added into each well of the MSD. After vigorously shaking the
plate for an hour, it was then washed with 0.5% tween PBS. The Read
buffer was finally added to each well and analyzed on the MESO SECTOR
imager from Meso Scale Discovery. Standard curves were obtained by
fitting the electrochemiluminescence signal from calibrators using
Meso Scale Delivery Workbench analysis software.
In
Vivo Delivery
A549 cells (1 ×
106) were injected subcutaneously into the interscapular
region of 6-week-old athymic nude mice. The mice were monitored until
palpable xenograft tumors developed greater than 200 mm3. M1EVs were generated using 100 million M1 macrophages by the procedure
mentioned above. A NanoSight 300 multiple particle tracking system
was used to determine the mean diameter and the concentration of MEVs.
M1EVs were then labeled with the DiR near-infrared fluorescent dye.
Briefly, 1 μL of 1 mM DiR was added to 199 μL of the vesicle
resuspension so that the final concentration of DiR in the vesicle
resuspension was 5 μM. DiR-labeled vesicles were separated from
free DiR using a size exclusion PD MidiTrap column equilibrated with
PBS. 100 μL of DiR-labeled M1EVs was then injected into the
lateral tail vein of tumor-bearing mice. Isoflurane gas was used to
anesthetize mice for imaging 72 h post injection using an IVIS Spectrum
In Vivo Imaging System (PerkinElmer) controlled with LivingImage software
(PerkinElmer). Epifluorescence images were obtained using 710 nm excitation
and 760 nm emission filters, f/stop number 4 and binning factor 4,
with a 35 s exposure.
Statistical Analysis
Statistical
analyses were performed
using Origin 2018. All data were expressed as the mean ± standard
error of the mean (SEM). At least three independent biological replicate
experiments were performed for each condition (n ≥
3). The two-sample t-test or ANOVA with post hoc
Tukey’s HSD test was done when appropriate and results were
considered statistically significant at p-values less than or equal
to 0.01.
Authors: John C Gensel; Satoshi Nakamura; Zhen Guan; Nico van Rooijen; Daniel P Ankeny; Phillip G Popovich Journal: J Neurosci Date: 2009-03-25 Impact factor: 6.167
Authors: Surya P Aryal; Xu Fu; Joree N Sandin; Khaga R Neupane; Jourdan E Lakes; Martha E Grady; Christopher I Richards Journal: Glia Date: 2021-04-14 Impact factor: 7.452
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