Leon Newman1, Dhifaf A Jasim1, Eric Prestat2, Neus Lozano1,3, Irene de Lazaro1, Yein Nam1, Bakri M Assas4,5, Joanne Pennock4, Sarah J Haigh2, Cyrill Bussy1, Kostas Kostarelos1,3. 1. Nanomedicine Lab, National Graphene Institute and Faculty of Biology, Medicine & Health, The University of Manchester, Manchester, M13 9PT, United Kingdom. 2. Department of Materials, School of Natural Sciences, The University of Manchester, Manchester, M13 9PL, United Kingdom. 3. Catalan Institute of Nanoscience and Nanotechnology (ICN2), Barcelona, 08193, Spain. 4. Lydia Becker Institute of Immunology and Inflammation, and Division of Infection, Immunity and Respiratory Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, United Kingdom. 5. Department of Immunology, Faculty of Applied Sciences, King Abdulaziz University, Jeddah, 21589, Saudi Arabia.
Abstract
Carbon nanomaterials, including 2D graphene-based materials, have shown promising applicability to drug delivery, tissue engineering, diagnostics, and various other biomedical areas. However, to exploit the benefits of these materials in some of the areas mentioned, it is necessary to understand their possible toxicological implications and long-term fate in vivo. We previously demonstrated that following intravenous administration, 2D graphene oxide (GO) nanosheets were largely excreted via the kidneys; however, a small but significant portion of the material was sequestered in the spleen. Herein, we interrogate the potential consequences of this accumulation and the fate of the spleen-residing GO over a period of nine months. We show that our thoroughly characterized GO materials are not associated with any detectable pathological consequences in the spleen. Using confocal Raman mapping of tissue sections, we determine the sub-organ biodistribution of GO at various time points after administration. The cells largely responsible for taking up the material are confirmed using immunohistochemistry coupled with Raman spectroscopy, and transmission electron microscopy (TEM). This combination of techniques identified cells of the splenic marginal zone as the main site of GO bioaccumulation. In addition, through analyses using both bright-field TEM coupled with electron diffraction and Raman spectroscopy, we reveal direct evidence of in vivo intracellular biodegradation of GO sheets with ultrastructural precision. This work offers critical information about biological processing and degradation of thin GO sheets by normal mammalian tissue, indicating that further development and exploitation of GO in biomedicine would be possible.
Carbon nanomaterials, including 2D graphene-based materials, have shown promising applicability to drug delivery, tissue engineering, diagnostics, and various other biomedical areas. However, to exploit the benefits of these materials in some of the areas mentioned, it is necessary to understand their possible toxicological implications and long-term fate in vivo. We previously demonstrated that following intravenous administration, 2D graphene oxide (GO) nanosheets were largely excreted via the kidneys; however, a small but significant portion of the material was sequestered in the spleen. Herein, we interrogate the potential consequences of this accumulation and the fate of the spleen-residing GO over a period of nine months. We show that our thoroughly characterized GO materials are not associated with any detectable pathological consequences in the spleen. Using confocal Raman mapping of tissue sections, we determine the sub-organ biodistribution of GO at various time points after administration. The cells largely responsible for taking up the material are confirmed using immunohistochemistry coupled with Raman spectroscopy, and transmission electron microscopy (TEM). This combination of techniques identified cells of the splenic marginal zone as the main site of GO bioaccumulation. In addition, through analyses using both bright-field TEM coupled with electron diffraction and Raman spectroscopy, we reveal direct evidence of in vivo intracellular biodegradation of GO sheets with ultrastructural precision. This work offers critical information about biological processing and degradation of thin GO sheets by normal mammalian tissue, indicating that further development and exploitation of GO in biomedicine would be possible.
Graphene-based materials (GBMs)
have potential for exciting applications including those related to
medical technologies, such as improved drug delivery.[1−4] A key concern, however, is the implications of interactions of these
engineered nanomaterials with the mammalian biological milieu.[5] Understanding the fate of GBMs after
administration to the body and the materials’ tendencies to
accumulate within organs and cells, especially those of the mononuclear
phagocytic system (MPS), such as the lungs, liver and spleen, and
the effects thereof,[6,7] are key in defining whether GBMs
will be suitable for biomedical applications.Preferential accumulation
of nanomaterials in one component of
the MPS over another is typically influenced by the route of administration
and the physicochemical characteristics of the materials administered.[8] We and others have reported the accumulation
of functionalized GBMs in the spleen following intravenous (i.v.)[6,9] and intraperitoneal administration.[7] Splenic accumulation after i.v. administration is not restrictive only to GBMs;[6] it has been reported for various other nanomaterials.[10,11] In terms of physicochemical characteristics, we showed that thicker
GBMs such as multilayer graphene oxide (GO) sheets are more likely
to be trapped within the capillary beds of the lungs compared with
single-to-few-layer GO sheets, after systemic administration.[12] Single-to-few-layer GO sheets, on the other
hand, have a greater capacity to be excreted via the
urinary tract and for the small fraction of this material that remained
in the body, this was shown to accumulate predominantly within the
spleen.[9,12]The spleen is a highly specialized
organ; it forms a major part
of the MPS and has major functions in the innate and adaptive branches
of the immune system.[13] It is adapted to
filtering blood via the strategic placement of an
array of phagocytic cells, such as specialized macrophages. These
phagocytic cells act to “clean” the blood of foreign-body
invaders and particulates. The filtered blood is then returned to
the main circulation via the efferent splenic vein.[13] The spleen also contains large numbers of lymphoid
cells and antigen-presenting cells, such as dendritic cells. If foreign-body
invaders or particulates, such as GBMs, are recognized by these cells
as antigens, they may induce antigen-specific immune responses.[14,15] Besides immune-related functions, the spleen also plays an important
role in the maintenance of a healthy red blood cell (RBC) population
and the storage of iron.[13]Accumulation
of GBMs within the spleen following administration
has been reported to be without toxicological consequences.[7] At the same time, however, various reports have
detailed extensive immune responses characterized by upregulation
of inflammatory markers as well as histopathological changes[6] following the administration of GBMs. Such discrepancies
are often linked to the inhomogeneity in physicochemical properties,
such as thickness, lateral dimensions, and levels of surface functionalization,
of the administered GBMs between investigations.[8,16] Thick,
large, or poorly functionalized sheets are more likely to have detrimental
consequences compared with thin, small, well-functionalized, and highly
dispersed materials. Variations in GBM characteristics can, therefore,
determine the impact of the materials on biological systems[8] and consequently affect its applicability in
biomedical research particularly with regard to systemic drug delivery.GO sheets are a promising class of GBMs that have been investigated
extensively in biomedicine; like other GBMs, they are often complex
and poorly characterized, leading to discrepancies in the literature
in terms of toxicology. One aspect that is particularly sensitive
to variations in physicochemical characteristics is the in
vivo long-term fate and, in particular, the biodegradability
of the materials.[5,17,18]The degradability of GO, as well as related carbon nanomaterials,
has been reported in the literature under different conditions mimicking
biological processes. Various studies describe degradative processes
mediated by oxidizing chemicals,[19−22] as well as free radicals (reactive
oxygen species or reactive nitrogen species) generating enzymes, including
some that are relevant to mammals.[17,18,23−26] Such studies have suggested that the colloidal characteristics
of GO dispersions, and the material characteristics that control these,
are important determinants of the biodegradability of the materials.[17] Low levels of surface functionalization and
increased thickness are, for instance, likely to promote poor dispersibility
and aggregation/agglomeration of the materials, thereby hindering
their enzyme-mediated biodegradation; the contrary would promote it.[17,18] However, these studies provide limited information as to the potential
of GBMs to degrade in vivo.In this respect,
the most advanced study so far describes the biodegradability
of carboxylated graphene (GO-like materials) over a period of three
months in mice, using confocal Raman spectroscopy.[6] The authors reported the continuing but incomplete biodegradation
of thick graphene-based aggregates in different organs of the MPS
with ensuing development of associated pathological features.[6] Noticeably, the spleen was shown to degrade the
accumulated material at a faster rate compared with other components
of the MPS.[6]In order to develop
GO as a potential vehicle for therapeutics
or diagnostics, more work is required to determine the exact degree
of biodegradability of these materials in vivo. In
previous reports, we demonstrated that after i.v. administration, single-to-few-layer GO sheets are largely
excreted via the kidneys and urinary tract.[9,27] We quantified the amount of material excreted as well as that retained
in the body and examined the interaction of GO with the kidneys and
its toxicological consequences.[27] Importantly,
we showed that a small, yet significant, proportion of this thin material
was sequestered within the spleen. Herein, we build on these previous
findings and report a much-needed long-term study investigating both
the impact and in vivo biodegradability of the portion
of the small and thin GO sheets sequestered within the spleen over
nine months following i.v. administration in mice.
Results and Discussion
Two criteria are preferable in the development of engineered nanomaterials
for biomedical applications: a safe in vivo profile
in the context of the designated application and the capacity for
effective, or controlled, biodegradation or body elimination.[5] Among GBMs, GO sheets are the most studied oxidized
derivatives of sp-hybridized carbon nanomaterials
for biomedical applications. This is due to their relatively hydrophilic
nature and amenability to surface functionalization.[28] These features give GO sheets a strong capacity particularly
regarding the design of two-dimensional nanoscale carriers for drugs
and other pharmaceutical agents.[2,29,30] However, information concerning the in vivo safety
profile and fate over time of GO sheets is limited.[5] Considering our previous study, which demonstrated that
the spleen is the primary organ of accumulation of the GO dose fraction
not excreted via the kidney after i.v. administration
in mice,[9] the primary objective of the
present study was to understand the impact of this accumulation on
the spleen structure and function and to reveal the in vivo fate (i.e., biodegradability)
of the GO sequestered within the spleen.
Biological-Grade GO
Sheets Have Ideal Features for Biomedical Studies
Various
reports have detailed the importance of properly defining
and characterizing GBMs in biomedical research.[5,16,31] Characteristics such as lateral dimensions,
thickness, and surface functionalization are key determinants of the
impact of GBMs on biological systems.[8] Following
the production of an aqueous GO suspension, an extensive physicochemical
characterization of the GO sheets was performed. First, atomic force
microscopy (AFM) and transmission electron microscopy (TEM) were used
to confirm the synthesis of single-to-few-layer GO sheets with lateral
dimensions below 2 μm with a log-normal distribution (Figure A and B). Previous
studies recommend that when injecting colloidal particles intravenously,
the material dimensions should not exceed the diameter of a capillary
(5–7 μm).[32] This is because
the materials must be able to journey through these narrow blood vessels
following administration without getting trapped, for example, in
the lung capillary bed.[8,32,33]
Figure 1
Physicochemical
characterization of GO, prior to injection. (a)
AFM image, with corresponding graphs showing the distribution of sheet
thickness and lateral dimensions. (b) TEM. (c) Raman spectroscopy
with I(D)/I(G) ratio. (d) Electron
diffraction pattern with the corresponding SAED aperture micrograph
given in Figure S1. Further physicochemical
characterization is shown in Figure S2.
Physicochemical
characterization of GO, prior to injection. (a)
AFM image, with corresponding graphs showing the distribution of sheet
thickness and lateral dimensions. (b) TEM. (c) Raman spectroscopy
with I(D)/I(G) ratio. (d) Electron
diffraction pattern with the corresponding SAED aperture micrograph
given in Figure S1. Further physicochemical
characterization is shown in Figure S2.Spectroscopic analysis was then performed and consistent
with that
expected of GO: an sp-hybridized carbon
hexagonal lattice interspersed with oxygen functionalities. Raman
spectroscopy showed enhanced scattering in the D band relative to
the G band (Figure C), which indicated the presence of defects within the graphitic
backbone of GO. This finding was corroborated by the hexagonal electron-diffraction
pattern, which showed diffusivity within the diffraction rings, suggestive
of the presence of crystalline and noncrystalline regions within the
GO sheets (Figure D). The corresponding electron micrograph is provided in Figure S1. Attenuated total reflectance Fourier-transform
infrared spectroscopy (ATR FT-IR) indicated that these defective regions
were occupied by various oxygen-containing functional groups (Figure S2A). For instance, stretching vibrations
of the O–H bond were observed as a broad band between 3000
and 3700 cm–1;[34] these
likely originated from hydroxyl and carboxyl groups and residual tightly
bound water molecules. Aliphatic C–H stretching vibrations
were observed as a minor band around 2815 cm–1,[35] while stretching vibrations originating potentially
from C=O groups, present in carbonyl and carboxyl groups, were
demonstrated by a sharp peak at approximately 1725 cm–1.[28,34] Evidence of in-plane vibrations in cyclic
aromatic networks were also observed as very weak bands between 1500
and 1600 cm–1,[28,36] although,
O–H bending modes in adsorbed water molecules, expected around
1625 cm–1, may have also contributed.[28,37] Bending vibrations of O–H present in hydroxyls were detectable
as a strong band around 1400 cm–1.[28,37] Evidence of ether groups could also be detected; they have previously
been reported to result in intense absorption bands around 1045 and
965 cm–1, which correspond to C–O stretching
vibrations;[28,34] epoxides may finally have contributed
to vibrations around 850 cm–1.[28] These inferences were supported by thermogravimetric analysis
(TGA) (Figure S2B) and X-ray photoelectron
spectroscopy (XPS) (Figure S2C-i and C-ii) data. TGA data also indicated that these defected regions, occupied
by oxygen-containing functionalities, constituted about 40% w/w of
total GO. Ultraviolet–visible (UV–vis) (Figure S2D) and fluorescence (Figure S2E) spectroscopies further revealed characteristic
absorption and fluorescence curves expected for GO.Polar oxygen-containing
functionalities, as detected on our GO
material, are known to minimize the thermodynamic consequences of
hosting hydrophobic carbon-based materials in the hydrogen-bonding
network of aqueous environments.[38] In our
case, this allowed the formulation of a well-dispersed GO aqueous
preparation. Overall, the characterization results demonstrate the
successful preparation of colloidal dispersions of GO nanosheets suitable
for i.v. administration.[8,33] Based on the literature and our previous work, small, well-dispersed,
and thin GO sheets are less likely to cause adverse reactions due
to physical entrapment in capillaries and other small blood vessels.[12] Small, well-dispersed sheets are also more likely
to be excreted via the kidneys and urinary tract,[12] and regarding the small portion of material
that remains within the body, these have a greater chance of interacting
with cells without causing damage.[39]
GO
Sheets Have Limited Effect on Spleen Histopathology
Following
characterization and confirmation that the GO sheets
were of small lateral dimensions, single-to-few layers, and extensively
surface oxidized, dispersed material was administrated to mice via i.v. injection. Based on the material physicochemical
features, the GO sheets were expected to accumulate over time in the
spleen, as previously reported by us[9] and
others[7,40] independently. However, we could not find
any study that examined the consequences of GO accumulation on the
splenic structure or function at the administered doses used here
(2.5, 5, or 10 mg/kg).[9,27]This prompted us to explore
the possible effects of the accumulated
material, first on spleen histology. Using H & E staining, we
observed no histopathological changes or tissue damages at either
24 h (Figure A) or
one month (Figure B) after GO administration at doses of 2.5, 5, or 10 mg/kg. Magnified
regions of both red and white pulps were histologically normal in
GO-injected mice and showed no apparent difference compared with those
of mice injected with the vehicle control, namely, dextrose 5% (Dex
5%, negative control). In contrast, mice injected with bacterial lipopolysaccharide
5 mg/kg (LPS, positive control; used widely to study acute toxicological
responses)[41] exhibited a reduction in the
extent of hematoxylin staining, especially in the red pulp, which
is indicative of cell death. These findings were consistent with other
reports,[7] although some have demonstrated
GO-induced structural changes associated with significant pathological
implications.[42] Differences in observations
between studies are thought to be due to differences in the physicochemical
characteristics of the GBMs used, particularly thickness, lateral
dimensions, and dispersibility.[8]
Figure 2
Effect of GO
on spleen structure. H & E-stained spleen sections
(5 μm thick) are shown after injection of GO (2.5, 5, and 10
mg/kg), Dex 5% (negative control), and LPS 5 mg/kg (positive control)
after (a) 24 h and (b) one month postinjection. The first column is
composed of 20× magnification images. Scale bars represent 100
μm. The middle and last columns show 60× magnifications
of red and white pulps, respectively. The scale bars represent 50
μm. The inset images show 300× magnified regions with scale
bars that represent 5 μm. (c) Quantification of the total cells
with brown pigmentation detected in spleen sections. Data are represented
as mean ± standard error (SE). Statistical significance was assessed via the Kruskal–Wallis multiple comparison test and
Dunns’ posthoc test (*p <
0.05, ***p < 0.005 vs age-matched
negative control). There were n = 3–4 mice
per group.
Effect of GO
on spleen structure. H & E-stained spleen sections
(5 μm thick) are shown after injection of GO (2.5, 5, and 10
mg/kg), Dex 5% (negative control), and LPS 5 mg/kg (positive control)
after (a) 24 h and (b) one month postinjection. The first column is
composed of 20× magnification images. Scale bars represent 100
μm. The middle and last columns show 60× magnifications
of red and white pulps, respectively. The scale bars represent 50
μm. The inset images show 300× magnified regions with scale
bars that represent 5 μm. (c) Quantification of the total cells
with brown pigmentation detected in spleen sections. Data are represented
as mean ± standard error (SE). Statistical significance was assessed via the Kruskal–Wallis multiple comparison test and
Dunns’ posthoc test (*p <
0.05, ***p < 0.005 vs age-matched
negative control). There were n = 3–4 mice
per group.In addition to a normal histological
appearance of the spleen,
we observed that with increasing doses of GO (2.5, 5, or 10 mg/kg),
there was an increase in the number of individual cells showing brown
pigmentation in comparison to the controls (insets in Figure A (24 h) and 2B (1 month)). All cells that visually appeared brown were
counted (Figure C),
with no specific exclusion criteria applied to reduce bias. At 24
h after GO administration, increase in pigmentation was particularly
apparent in the red pulp and marginal zone regions of the spleen.
This increase in pigmentation in GO-treated animals compared with
controls was more pronounced at one month, compared with 24 h. At
one month, the presence of brown-pigmented cells was also evident
in the white pulp at the maximum dose (10 mg/kg). In our previous
study, a similar appearance of dark brown/black pigmented cells was
noted in the red pulp of spleens of mice injected with functionalized
GO sheets (fGO).[9] Other
studies have also reported dark local regions in the H & E stained
tissue sections of organs (including lungs and liver) following administration
of GO or fGO.[43−45] The dark local regions in these
studies were attributed to accumulation of foreign carbon nanostructures.[46] However, at this level of information, dark
or brown regions could be indicative of substances other than GO,
such as iron, which is known to be stored in the spleen as hemosiderin,
preferentially in the red pulp.[47,48] In addition to the
microarchitecture, the general appearance of the whole spleen was
examined (Figure S3). During the early
stages, i.e., 24 h after injection,
there was a notable darkening of the spleens particularly following
the injection of the highest GO doses. Wen etal. demonstrated a similar dark black coloration of the
whole spleen in mice injected with fGO. This darkening
also increased when the administrated dose (up to 16 mg/kg) increased.[49]To further assess the possible impact
of GO i.v. injection at the tissue
level, terminal deoxynucleotidyl
transferase (TdT) dUTP nick-end labeling (TUNEL) staining was performed
on spleen sections (Figures S4 and S5).
While the LPS-positive control was clearly inducing a higher number
of TUNEL-positive cells compared with the negative control, GO was
consistently inducing a higher number of TUNEL-positive apoptotic
cells (about twice the amount found in negative control) for both
time points tested, only at the highest tested dose (i.e., 10 mg/kg). Although the total number of TUNEL-positive
apoptotic cells in GO groups was still within the norms expected for
the spleen,[50,51] but significantly lower than
in the LPS control, these findings were suggestive that 10 mg/kg could
likely be the lowest-observed-adverse-effect level (LOAEL) for the
tested material in this animal model.
GO Sheets Have Limited
Effects on Splenic Function
In order to further study the
effect of GO on the spleen and clarify
the possible risk associated with the 10 mg/kg dose, the two main
splenic functions, namely, hematological and immunological, were interrogated.
The hematological function concerns primarily the ability of the red
pulp macrophages to eliminate aberrant and old RBCs.[52−56]Figure A presents
optical microscopy images of H & E-stained blood smears of mice
injected with GO at doses of 2.5, 5, or 10 mg/kg, at 24 h and one
month compared with those of mice injected with Dex 5% (negative control)
or 5 mg/kg LPS (positive control). Black arrows indicate deviant RBCs
in a representative LPS-injected mouse blood smear. Quantification
of the deviant RBCs is provided as bar chart in the same figure. Aberrant
RBCs normally do not account for more than 3% of total RBCs.[57] The graph, therefore, presents evidence of normal
levels of aberrant RBCs (about 3%)[57] for
all groups injected with GO, regardless of the concentrations, at
both 24 h and one month after administration. The LPS-injected group
(positive control), however, exhibited elevated levels of abnormal
RBCs (7%) relative to the negative control (Dex 5%) and significantly
above the physiological level (3%).[57] This
was expected, as LPS administration has been shown to result in increased
RBC deformation.[41]
Figure 3
Effect of GO on spleen
function, after 24 h and one month postinjection
of GO at different concentrations (2.5, 5, 10 mg/mL) compared with
control mice, Dex 5% (negative control), and LPS 5 mg/kg-injected
(positive control) mice. (a) Blood smears stained with H & E at
two magnifications, 60× (scale bar 50 μm) and inset images
300× (scale bar 5 μm). The graph represents the percentage
of deviant RBCs (reticulocytes, abnormal and aged RBCs) from the total
RBC counts; the black arrows indicate some of the deviant RBCs detected
in LPS-injected mice. The graph was obtained after counting >500
cells
from each mouse (n = 3 per group). (b) Pearls’
Persian blue-stained spleen tissue sections (5 μm thick) at
two magnifications, 20× (scale bar, 100 μm) and inset images
100× (scale bar, 20 μm). Blue spots demonstrate regions
of Persian blue-stained hemosiderin. The graph represents the percentage
of total imaged tissue that stained blue, indicating the presence
of hemosiderin. This was obtained by measuring the intensity of the
blue-stained regions from 3 or 4 images from each mouse captured at
20× (n = 3, 4 mice per group) by Fuji Image
J analysis. (c) Spleen T-lymphocyte cell counts, CD4+ T-helper
cell counts plot (left), and cytotoxic CD8+ cell count
plot (right). Cell counting was performed by flow cytometry. Three
repeat counts were performed for each group of mice (n = 3). (d) Gene expression levels of pro-inflammatory cytokines IL-6,
IL-1β, and TNF-α and gene expression levels of anti-inflammatory
cytokines IL-10 and TGF-β. (a) and (b) represent the spleen
hematological function, while (c) and (d) represent the spleen immunological
functions. In (a), (b), and (c) data are represented as mean ±
standard error (SE), while for the RT-q-PCR in (d), data are represented
as mean ± standard deviation (SD). Statistical significance was
performed by using the Kruskal–Wallis multiple comparison test
and Dunn’s posthoc test, while the Welch ANOVA
and Games–Howell’s posthoc test was
used in D. In all cases statistics are *p < 0.05,
**p < 0.01, ***p < 0.005 vs negative control.
Effect of GO on spleen
function, after 24 h and one month postinjection
of GO at different concentrations (2.5, 5, 10 mg/mL) compared with
control mice, Dex 5% (negative control), and LPS 5 mg/kg-injected
(positive control) mice. (a) Blood smears stained with H & E at
two magnifications, 60× (scale bar 50 μm) and inset images
300× (scale bar 5 μm). The graph represents the percentage
of deviant RBCs (reticulocytes, abnormal and aged RBCs) from the total
RBC counts; the black arrows indicate some of the deviant RBCs detected
in LPS-injected mice. The graph was obtained after counting >500
cells
from each mouse (n = 3 per group). (b) Pearls’
Persian blue-stained spleen tissue sections (5 μm thick) at
two magnifications, 20× (scale bar, 100 μm) and inset images
100× (scale bar, 20 μm). Blue spots demonstrate regions
of Persian blue-stained hemosiderin. The graph represents the percentage
of total imaged tissue that stained blue, indicating the presence
of hemosiderin. This was obtained by measuring the intensity of the
blue-stained regions from 3 or 4 images from each mouse captured at
20× (n = 3, 4 mice per group) by Fuji Image
J analysis. (c) Spleen T-lymphocyte cell counts, CD4+ T-helper
cell counts plot (left), and cytotoxic CD8+ cell count
plot (right). Cell counting was performed by flow cytometry. Three
repeat counts were performed for each group of mice (n = 3). (d) Gene expression levels of pro-inflammatory cytokines IL-6,
IL-1β, and TNF-α and gene expression levels of anti-inflammatory
cytokines IL-10 and TGF-β. (a) and (b) represent the spleen
hematological function, while (c) and (d) represent the spleen immunological
functions. In (a), (b), and (c) data are represented as mean ±
standard error (SE), while for the RT-q-PCR in (d), data are represented
as mean ± standard deviation (SD). Statistical significance was
performed by using the Kruskal–Wallis multiple comparison test
and Dunn’s posthoc test, while the Welch ANOVA
and Games–Howell’s posthoc test was
used in D. In all cases statistics are *p < 0.05,
**p < 0.01, ***p < 0.005 vs negative control.The other aspect of hematological function[58] of the spleen is its capacity to serve as a reservoir for biologically
important metals, such as iron in the form of hemosiderin in red pulp
macrophages.[59−61]Figure B presents Perls’ Prussian blue staining that was used to
detect the hemosiderin content (stained in blue; quantification presented
in bar chart) in mouse spleen sections at 24 h and one month after
injection with different concentrations of GO (2.5, 5, or 10 mg/kg).
As expected, the levels of hemosiderin increased with the age of the
mice (as seen in Dex 5%-treated animals between the 24 h and 30 day
time points). As also expected, there was a significant reduction
in the amount of hemosiderin in LPS-treated mice; this can be attributed
to the marked cell death known to be induced by LPS.[62] At 24 h and one month, neither a decrease nor increase
in hemosiderin was observed in GO-treated mice, regardless of dose,
when compared with age-matched Dex 5%-treated mice.Taken together,
these results indicated that the spleen was able
to maintain both a healthy RBC population (Figure A) and its iron-storage capability (Figure B) after GO administration
irrespective of the dose used. Other studies have reported a similar
absence of changes in the overall spleen hematological parameters
of mice injected with a single dose of GBMs of up to 10 mg/kg after
48 h[43] and 10 days,[63] or even with doses as high as 60 mg/kg after 24 h.[64] The same finding is true after repeated administration
of 10 mg/kg every 2 days for up to 22 days,[65] 15 mg/kg every other day for 14 days,[66] or even after repeated oral administration of high doses of GO (60
mg/kg) every 24 h for five consecutive days.[67]In addition to providing information about the hematological
function
of the spleen, the Perls’ Prussian blue staining provided additional
information concerning the identity of the brown-pigmented features,
previously observed in the splenic marginal zones of GO-treated mice
(Figure ). Most of
the brown material in the red pulp was stained blue and, therefore,
was confirmed to be hemosiderin. In contrast, in cells of the splenic
marginal zone, or their close vicinity, brown material (unstained
by the Perls’ Prussian blue dye) continued to be observed in
spleen sections of GO-treated mice, compared with control groups.
This further confirmed that the brown-pigmented material present in
the marginal zones of GO-treated mice was not hemosiderin but more
likely GO.We then investigated the immunological function of
the spleen (Figure C and D). Emphasis
was put on cell-mediated immunity, which was measured by determining
the populations of T lymphocytes, specifically CD4+ and
CD8+ cells as the major immune component of the splenic
white pulp.[68,69] Cell-mediated immunity has a
crucial role in the recognition and elimination of antigenic substances
such as abnormal cells and foreign matter.[15] Cell counts for both T helper CD4+ and T cytotoxic CD8+ cells are presented in Figure C (representative flow cytometry plots outlining CD4+ and CD8+ populations are provided in Figure S6). The graph shows that there were moderate
changes in CD4+ and CD8+ cell populations in
mice injected with GO (2.5, 5, and 10 mg/kg) at both 24 h and one
month after administration when compared with the age-matched negative
controls (Dex 5%). In contrast, LPS-injected mice showed a significant
reduction in both cell populations (Figure C). These data were in agreement with the
findings of Wang etal., who showed
no changes in CD4+ and CD8+ T-cell populations
in spleens of mice injected with two different types of graphene nanosheets
at 1 mg/kg after i.v. injection.[45] Interestingly, the same study demonstrated that
there was a significant rise in both CD4+ and CD8+ T cells after administration of multiwalled carbon nanotubes (CNTs)
at the same dose and that this rise persisted for more than 7 days.[45] Such results illustrate how different types
of carbon nanomaterials (GBMs or CNTs) may interact with biological
systems in different ways and, thereby, result in different biological
outcomes.[5]To expand our study on
the immunological function of the spleen,
we analyzed the gene expression profiles of various cytokines, including
pro-inflammatory (IL-6, IL-1β, and TNF-α) and anti-inflammatory
(IL-10 and TGF- β) mediators. Rise in cytokine expression is
typical evidence of CD4+ T-cell activation and is known
to mediate CD8+ cells’ and B-cells’ functions.[14] Herein, no significant differences in the levels
of the pro-inflammatory cytokines IL-6 and TNF-α were detected
at any time point in mice injected with GO (2.5, 5, or 10 mg/kg) compared
with mice injected with Dex 5% (Figure D). This was in agreement with the findings of Wang etal., who also did not detect any change
in cytokine levels following the i.v. injection of graphene nanosheets, even 1 week after administration.[45] There was, however, a significant increase at
24 h in IL-1β expression for all GO-injected mice (Figure D); this increase
was also noted by Orecchioni etal. at 24 h after the incubation of GO with human immune cells.[70] After one month, IL-1β levels returned
to normal in mice treated with the lowest concentrations of GO (2.5
and 5 mg/kg), indicating that this effect was transient and due to
a mild inflammatory response occurring soon after injection. However,
at 10 mg/kg and in contrast to the 2.5 and 5 mg/kg doses, IL-1β
levels were significantly reduced at the one-month time point. Noticeably,
there was also a significant reduction in anti-inflammatory cytokine
expression at 24 h, in particular IL-10 in mice injected with 2.5,
5, and 10 mg/kg of GO, and TGF-β in mice injected with 10 mg/kg
of GO. Levels of both IL-10 and TGF-β were also significantly
reduced at the one-month time point for all tested GO doses.Such cytokine suppressive effects of GO have been previously reported
by Sydlic etal. following the administration
of GO at 20 mg/kg.[71] The authors attributed
such effects to a protective mechanism associated with the adverse
effects of GO.[71] Suppression of cytokine
expression could also be due to direct inhibitory effects of GO on
secreting cells (e.g., primarily
macrophages in the case of TGF-β[72] or monocytes and macrophages in case of both IL-10[73] and IL-1β[74]) by a mechanism
that does not involve secondary regulatory effects[75] or decreased responsiveness of such cells.[76] T cells are the main source of IL-6,[77] while TNF-α is primarily secreted by macrophages
but can also be produced by other cells, such as CD4+ T
cells. T-cell populations were, however, unaltered in the present
study (Figure C);
reduction in cytokine expression after GO treatment may, therefore,
indicate the involvement of the innate immune system in regulating
the effects of GO.[70] More in-depth work
is warranted to assess this possibility.
GO Sheets Accumulate Preferentially
in Marginal Zone Macrophages
after i.v. Administration, but Progressively
Disappear from the Spleen over Nine Months
Following the
determination of the impact of GO on mouse spleen,
we analyzed the sub-splenic biodistribution of the material to reveal
its long-term fate within this organ. For this experiment, we used
7.5 mg/kg of GO, rather than the maximum 10 mg/kg dose used in the
above experiments. This selection was based on observations that 10
mg/kg could induce moderate but potentially significant modifications
of the immunological function of the spleen (Figure D); increase cell apoptosis, despite being
within a physiological range for mouse spleen[50,51] (Figure S5); and our previous observations[27] of uncharacteristic mouse growth curves at this
dose after one month. All observations suggested that 10 mg/kg might
be the LOAEL dose in mice for this material over the long term. Therefore,
we selected a lower dose (i.e.,
7.5 mg/kg) to reduce the long-term risk to the animals’ health.
This was important, as we intended to study biodegradation over nine
months, while not compromising our ability to detect and track the
fate of GO during this long period. In agreement with this approach,
no impact on the growth curve of the GO-injected mice was observed
compared with the vehicle (Dex 5%) control-injected mice (Figure S7) over the nine-month period.Using confocal Raman mapping to track the injected GO sheets in
spleen sections, it was confirmed without ambiguity that the observed
brown material in the splenic marginal zone had typical Raman spectroscopic
fingerprints of GO (Figure A, day 1). Previous literature studies have reported similar
accumulation in this region for other engineered nanoparticles, including
lipid-based nanoparticles[10,78] and CNT.[40,79] In the spleen, the marginal zone is densely populated with various
strategically located phagocytic cells.[10] The next step was, therefore, to determine the precise identity
of the specific cells within the splenic marginal zone that sequestered
GO. Using immunofluorescence in correlation with conventional (point-and-shoot)
Raman spectroscopy in spleen sections, we found that GO was sequestered
primarily within a subset of splenic macrophages. These were shown
to be the marginal zone macrophages (MZM), which stained positive
for the ERTR-9 antigen,[10] and were shown
to contain GO by Raman analysis (Figure B). Preferential uptake of GO by MZMs was
further confirmed using fluorescence-activated cell sorting (FACS)
followed by conventional Raman spectroscopy on isolated splenocyte
subpopulations (Figure C and Figure S8).
Figure 4
Localization and abundance
of GO in spleen tissue at different
time points following the administration of 7.5 mg/kg GO. (a) Confocal
Raman correlation maps of GO Raman signatures detected in mice spleen
sections at different time points (day 1, 30, and 270) post-GO administration.
The horizontal length scale bar represents 200 μm. The vertical
heat scale bar (black–white) indicates 40–80% correlation
with spectra of starting material shown in Figure c. (b) Overlay image of the immunostaining
of MZM (green) and nuclei (blue) with bright field images, together
with correlative Raman spectra of regions of interest, at different
time points (day 1, 30, and 270). The white circles and their corresponding
numerical identities indicate different regions of interest where
the Raman spectra were acquired. The corresponding numbered spectra
are inset in the respective images. Scale bars represent 50 μm.
(c) The percentage of cell-sorted MZMs that screened Raman positive
for GO over time (n = 20 spectra for each of three
animals at each time point). (d) Apoptotic cell density detected as
per the TUNEL assay, for GO and Dex 5% treated groups at different
time points (day 1, 30, and 270). Statistical significances were tested
using the Kruskal–Wallis multiple comparison test with Dunn’s posthoc test. A full breakdown of the results of the statistical
analysis for graphs C and D is provided in Tables S1 and S2, respectively. In all cases, statistical significance
was defined where p < 0.05.
Localization and abundance
of GO in spleen tissue at different
time points following the administration of 7.5 mg/kg GO. (a) Confocal
Raman correlation maps of GO Raman signatures detected in mice spleen
sections at different time points (day 1, 30, and 270) post-GO administration.
The horizontal length scale bar represents 200 μm. The vertical
heat scale bar (black–white) indicates 40–80% correlation
with spectra of starting material shown in Figure c. (b) Overlay image of the immunostaining
of MZM (green) and nuclei (blue) with bright field images, together
with correlative Raman spectra of regions of interest, at different
time points (day 1, 30, and 270). The white circles and their corresponding
numerical identities indicate different regions of interest where
the Raman spectra were acquired. The corresponding numbered spectra
are inset in the respective images. Scale bars represent 50 μm.
(c) The percentage of cell-sorted MZMs that screened Raman positive
for GO over time (n = 20 spectra for each of three
animals at each time point). (d) Apoptotic cell density detected as
per the TUNEL assay, for GO and Dex 5% treated groups at different
time points (day 1, 30, and 270). Statistical significances were tested
using the Kruskal–Wallis multiple comparison test with Dunn’s posthoc test. A full breakdown of the results of the statistical
analysis for graphs C and D is provided in Tables S1 and S2, respectively. In all cases, statistical significance
was defined where p < 0.05.Within the spleen, MZMs make up a small fraction of the total splenocytes
and are situated throughout the middle and outer portion of the marginal
zone.[80] In these regions of the spleen,
blood, previously flowing under high pressure due to the restrictive
diameter of the terminal arterioles, emerges from the white pulp and
into the sinuses of the marginal zone.[13] Due to the open nature of this region, there is a lack of resistance,
which causes the blood to experience a dramatic deceleration in flow
velocity, resulting in a local decrease in blood pressure.[10,13] Highly phagocytic MZMs take this opportunity to remove unwanted
particulates, including cellular debris and exogenous particulates
from the blood.[10,13] We infer that GO sheets circulating
in the blood may have in the same way been taken up by the MZMs, which
have been repeatedly shown to internalize engineered nanoparticles,
including liposomes,[10,11] polystyrene microspheres,[10] or CNTs,[40] after
i.v. administration.We then
attempted to probe the fate of the GO accumulated in the
marginal zone over time (from day 1 to day 270 after administration, Figure A and B). Comparing
spleen sections from GO-injected mice analyzed at the different time
points, we observed a clear decrease in the abundance of detectable
GO and a corresponding loss in the GO Raman spectral integrity from
day 1 to day 270. Results from confocal Raman mapping of spleen sections
(Figure A) agreed
with that of conventional (point and shoot) Raman spectroscopy on
individual splenocytes (Figure B). In both cases, while the Raman signature of GO was easy
to identify at 24 h, the same signature could hardly be detected at
the later time points. The greatest loss in GO-positive cells was
observed during the first month after administration (between day
1 and day 30), but it continued to decrease over the remaining course
of the experiment (Figure C).Observation of loss of GO Raman signature may on
one hand be due
to biodegradation of the material, leaving only a trace amount of
GO crystalline regions that were below the limit of detection of Raman
spectroscopy.[81] On the other hand, it could
be explained by the elimination of the material. Indeed, it has been
previously shown that nanomaterials traveling through blood can be
noncovalently attached to RBCs.[82] If this
was the case for GO, the sheets would be held in the RBC reservoir
of the spleen and would exit the organ carried by healthy RBCs without
being captured by phagocytic cells. However, this hypothesis would
not fit with the biodistribution pattern observed herein, since the
majority of RBCs within the spleen are present in the red pulp[13] and not in the marginal zone where GO appeared
to accumulate (Figure D). Our previous studies[9,27] have also shown that
a large portion of administrated GO sheets are excreted via the urinary tract (without causing damage to the kidneys) soon after
i.v. administration; this would
not be possible if large amounts of GO were bound to RBCs. This suggests
that GO sheets are more likely relatively free and not carried by
RBCs when circulating in the blood, leading to their capture by MZMs
when reaching the spleen.Another possibility that would explain
an over-time elimination
would be GO sheets inducing significant tissue damage upon accumulation,
which in turn would cause release of splenic content, including iron
(hemosiderin)[83] and the captured GO. However,
our results showed no detectable damage to the spleen (or decrease
of hemosiderin) for up to one month (Figures and 3), when the
greatest loss of GO signal was observed. Similarly, no significant
differences in the number of apoptotic cells were found in the spleen
of GO-injected mice even after nine months (Figure D), although there was an initial slight
but statistically insignificant increase at day 1. However, the extent
of cell death was within the norm expected for spleen tissue.[50,51] In addition, on examining the TUNEL-staining images, it is apparent
that apoptosis was not predominant in the marginal zone (Figure S9), where the densest accumulation of
GO was observed, at any time point.Without completely negating
the possibility of concomitant elimination
of the material via mechanisms that would require
further investigation, the absence of compelling evidence to support
elimination of the material leads us to conclude that biodegradative
processes were the more likely leading cause for the loss of GO Raman
signature in spleen sections. This conclusion is supported by several
studies showing that thin and well-dispersed GO sheets, similar to
those used in the present study, are more likely to undergo biodegradation
compared with thicker and aggregated GO sheets in the presence of
oxidative enzymes.[17,18] In particular, myeloperoxidase,
an enzyme typically produced by granulocytes and macrophages, including
MZMs, was shown to be unable to degrade highly aggregated GO, but
efficiently catalyzed degradation of well-dispersed GO materials,[17] such as those used herein. Such studies emphasize
the key role of the hydrophilicity, negative surface charge, and colloidal
stability of aqueously dispersed GO in relation to biodegradation.
In addition to this, the spleen has been previously shown to have
a stronger capacity to biodegrade GBMs (especially GO-like, carboxylatedgraphene)[6] than other components of the
MPS such as the lungs and liver.[6,42]
GO Sheets Biodegrade in
the Marginal Zone Macrophages over Nine
Months
To further characterize the progressive in
vivo biodegradation of GO over nine months, we looked in
more detail
at the spleen marginal zone cells in which GO sheets accumulate preferentially.
First, using H & E staining, we found evidence of the consistent
presence of slightly darkened regions within the marginal zones of
the spleen, at all tested time points (Figure A-i). This agreed with the data presented
in Figures –4, in which dark regions were observed across the
whole spleen. However, these dark regions were present not only in
GO-injected mice (Figure A-i) but also in the Dex 5%-administered mice, albeit more
sparingly (Figure S10). The number of dark
regions was, therefore, quantified (Figure B) and revealed a clear association between
the higher number of dark regions in the marginal zone and GO administration,
compared with vehicle controls. Importantly and consistent with the
idea of progressive degradation of GO, the number of marginal zone
dark regions in GO-treated mice decreased over time (more sharply
during the first 30 days), reaching values similar to those found
in Dex 5%-treated mice by day 270 (Figure B).
Figure 5
Splenic biodegradation of GO over nine months
following i.v. administration
at a dose of 7.5 mg/kg. (a) (i) Splenic sections of mice that were
stained with H & E; scale bars represent 50 μm. Inset images
show the presence of GO material in the vicinity of cells of the marginal
zone; scale bars represent 10 μm. (ii) Average Raman spectra
of GO present in physically homogenized spleen tissue at different
time points, n = 10 ROI × 3 mice. (iii) TEM
micrographs of GO sequestered within the vesicular compartments of
marginal zone splenocytes over time; scale bars represent 1 μm.
The inset shows a magnification of the GO material at the respective
time points; scale bars represent 500 nm. (iv) Representative electron
diffraction pattern line profiles of GO at different time points postadministration,
with the respective diffractograms inset; scale bars represent 10
1/nm. (b) Average number of dark areas present in the splenic marginal
zone at each time point (n = 5 ROI × 3 mice)
(*p < 0.05).(c) Evolution of the Raman I(D)/I(G) ratio over nine months (n = 10 ROI × 3 mice). Statistical significances for
graphs B and C are given in Tables S3 and S4, respectively.
Splenic biodegradation of GO over nine months
following i.v. administration
at a dose of 7.5 mg/kg. (a) (i) Splenic sections of mice that were
stained with H & E; scale bars represent 50 μm. Inset images
show the presence of GO material in the vicinity of cells of the marginal
zone; scale bars represent 10 μm. (ii) Average Raman spectra
of GO present in physically homogenized spleen tissue at different
time points, n = 10 ROI × 3 mice. (iii) TEM
micrographs of GO sequestered within the vesicular compartments of
marginal zone splenocytes over time; scale bars represent 1 μm.
The inset shows a magnification of the GO material at the respective
time points; scale bars represent 500 nm. (iv) Representative electron
diffraction pattern line profiles of GO at different time points postadministration,
with the respective diffractograms inset; scale bars represent 10
1/nm. (b) Average number of dark areas present in the splenic marginal
zone at each time point (n = 5 ROI × 3 mice)
(*p < 0.05).(c) Evolution of the Raman I(D)/I(G) ratio over nine months (n = 10 ROI × 3 mice). Statistical significances for
graphs B and C are given in Tables S3 and S4, respectively.To further confirm that
progressive degradation of GO entrapped
in the spleen was taking place in GO-injected animals, conventional
Raman spectroscopy was used to detect the typical Raman fingerprints
of GO in physically homogenized spleen tissue of mice injected with
GO at different time points and for up to nine month after administration.
This allowed us to probe GO biodegradation at the whole organ level,
to reveal the full extent of degradation for all the GO sheets entrapped
in the spleen. In agreement with previous data (Figure ), we found that the intensity of the Raman
signature of GO dramatically decreased over time (Figure A-ii). By nine months, the
GO Raman signature was barely recognizable, lacking all typical spectral
features of GO crystals. For reference, the complete series of averaged
spectra (n = 30) over the nine month study is provided
in Figure S11.Going further in the
analysis of the collected Raman spectra, we
extracted the peak intensity for the characteristic D vs G bands of GBMs (D band at ∼1350 cm–1;
G band at ∼1580 cm–1) and calculated the I(D)/I(G) intensity ratio for each time
point (Figure C).
The data revealed that over nine months the GO Raman signature in
the spleen followed the expected three-stage classification of disorder
for graphitic carbon crystals.[84] This theory
is known as the amorphous trajectory of carbon and describes the transformation
of sp2-hybridized carbon structures into a mainly tetrahedral
sp3 amorphous carbon phase.[84] Prior to injection, the GO material displayed a prominent D peak
(Figure ), which is
due to the breathing modes of sp2-hybridized carbon bonds
present in the structure’s hexagonal rings. In order for the
D peak to be visualized, charge carriers must be inelastically scattered
by a phonon and then undergo a second elastic scattering by a defect
within the material.[85] The presence of
such a heightened D peak indicated, therefore, that prior to injection
the GO sheets were significantly defective from a crystal point of
view. This is expected considering the conditions of the modified
Hummers’ method used to oxidize and exfoliate graphite to form
GO.[28,34,86] From day 1
to day 7 after administration, the I(D)/I(G) ratio of GO in the spleen began to rise (Figure C), indicating that the degree of defects
within the material had increased, as expected per the first stage
of the amorphous trajectory of carbon and in correlation with predictions
of the Tuinstra–Koenin (TK) equation.[87] The TK equation relates the size of sp2-hybridized crystal domains within graphitic materials as they become
increasingly defective. The equation predicts that as the size of
the sp2-hybridized crystal domain decreases, the I(D)/I(G) ratio will increase until a minimum
crystal domain size is reached. After this point, the I(D)/I(G) is expected to decrease as the spectral
peaks are gradually attenuated and the spectra are such that the assumptions
of the TK equation no longer apply.[84]The rise in the I(D)/I(G) ratio
continued at a slow pace for another week after injection (from day
7 to 14; Figure C).
This slow pattern can be explained by the presence of oxidized debris,
physisorbed to the surface of GO sheets. Such debris may have degraded
first, thereby offering protection to the underlying GO sheet, hence
slowing the initial biodegradative process. The presence of oxidized
debris may be alluded to by the XPS O/C atomic ratio (O/C = 0.5) measured
in the GO material, prior to injection in animals. A previous study[88] showed that GO, prepared through a modified
Hummers’ method, often contains significant quantities of physisorbed
oxidized debris. These debris consist mainly of highly oxidized nanometer-sized
polyaromatic molecules; their presence on GO sheets can lead to high
O/C ratios of around 0.4 or above. When such GO materials are subjected
to base washing, shown to remove these physisorbed oxidized debris,
significant reductions in the XPS-derived O/C ratio to values of approximately
0.3 or below are observed.[88] This is due
to the lower abundance of oxygen in the sample following the removal
of the oxidized debris by the base washing. The protective effect
of these oxidized debris may also be enhanced by the in vivo-derived protein corona, which is expected to form around any nanomaterial
on contact with biological fluids such as blood.After day 14,
the I(D)/I(G) ratio
was observed to decrease (in particular between day 14 and 30; Figure C), as expected as
part of the second stage of the amorphous trajectory of carbon. It
can be explained by the increasing presence of defects within the
2D structure of GO sheets, which eventually results in the presence
of significant amounts of amorphous carbon structures, to such an
extent that the assumptions of the TK equation no longer apply.[84,89] This inference is supported by studies in which ion beams of increasing
energies were directed at graphene sheets. In these cases, the ions
caused knock-on damage, resulting in defects within the graphene sheets
and consequent alterations in the Raman spectral features over time,[85] which followed a similar pattern to what we
observed herein for the spleen-bound GO. The results of these ion-beam
studies were also discussed relative to the amorphous trajectory of
carbon and predictions of the TK equation.[85] Several enzyme- and cell-based studies investigating the biodegradation
of GBMs also displayed a similar pattern of Raman I(D)/I(G) ratio changes, albeit under much shorter
time frames.[18,90]The presence of an increasing
amount of defects and disorder within
the spleen-bound GO may also explain the increasingly difficult-to-detect
GO Raman signals beyond 24 h (as observed in both conventional Raman
spectroscopy (1 μm2 spot size; Figure B, Figure A-ii) and confocal Raman mapping (mm2 wide
tissue section area; Figure A)). Indeed, as time progressed, attenuation of the two characteristic
Raman scattering peaks continued to occur, with subsequent decreases
in the I(D)/I(G) ratio (Figure C) until both peaks
were hardly detectable. By day 270, attenuation of both D and G bands
was consistent across samples with limited exceptions, indicating
that the crystalline structure of the accumulated material had been
largely lost (Figure A-ii).We finally wanted to confirm visually that biodegradation
of GO
was occurring within the splenocytes and not extracellularly. BF-TEM
was used to image GO directly within the ultrastructure of tissue-fixed
cells. An acceleration voltage of 80 kV was used, in order to reduce
knock-on damage.[91] Cell-entrapped GO appeared
to lose its characteristic appearance and become increasingly defective
over time (Figures A-iii and S12). This was further validated
by the evolution of the electron diffraction patterns of intracellularly
entrapped GO, which became increasingly difficult to acquire (Figures A-iv and S13). At day 1, it was relatively easy to locate
intracellular GO structures and acquire hexagonal diffraction patterns
characteristic of GO within cellular compartments (Figure A-iii and A-iv). However, at
longer time points, there was an overall decrease in the abundance
of material as well as the intensity measured for the diffraction
peaks associated with GO. This was attributed to a progressive attenuation
of the crystallinity of the GO to a more amorphous structure due to
biodegradation,[17] as discussed above and
supported by the Raman results (Figures C and S11). In
further support of these findings, evidence of the formation of holes
within the planar structure of GO sheets was identified at day 30
(Figure S14). These formations were not
apparent prior to injection or at early time points, i.e., before day 30, and could not be attributed
to electron beam damage during image acquisition. Beyond 30 days,
cell-entrapped GO sheets appeared too damaged to allow TEM imaging
of further degradation (i.e., more
advanced holey formation) of the planar structure. These observations
and their time line may suggest a structural biodegradation-related
GO transition state, whereby defects accumulate within the material
and then erode away, resulting initially in the creation of large
holes within the GO sheets and ultimately the complete loss of their
planar structure. Importantly, the structural changes in GO planes
observed in spleen sections could not be found in GO sheets incubated
at 37 °C in the dark for nine months (i.e., material not injected in animals; Figures S15 and S16), indicating that elements of the spleen
biological milieu are likely responsible for these
structural changes.Similar results have been documented several
times in vitro when sp2-hybridized carbon
nanomaterials, including GBMs,
were exposed to oxidizing chemicals,[19] peroxidase
family enzymes,[17,18,23] and other enzymes such as cellular nicotinamide adenine dinucleotide
phosphate-oxidase (NADPH oxidase) or induced nitrogen oxide synthase
(iNOS).[92] In terms of a possible mechanism
by which the GO sheets were being biodegraded intracellularly, based
on the extensive work concerning CNT degradation in macrophages,[93] it can be envisioned that following phagocytosis
in MZMs membrane-bound NADPH oxidase was activated and catalyzed the
production of superoxide. Superoxide dismutase could then convert
the superoxide into hydrogen peroxide, which could react with free
radical nitric oxide to generate reactive peroxynitrite. Peroxidase
enzymes such as myeloperoxidase (MPO) may also have a role in catalyzing
production of hypochlorite from peroxide and chloride ions, even though
macrophages, including MZMs, contain lower levels of MPO than other
immune cells such as neutrophils.[94] Another
possibility is that Fe ions, present within macrophages,[94] catalyzed the breakdown of peroxide to hydroxyl
radicals. As a result of these different processes, free radicals
and reactive species, including peroxynitrite, hypochlorite, and hydroxyl
radicals, could then attack reactive sites such as epoxide groups
present on the planes of GO sheets, resulting in hole formation (as
observed herein via TEM) and the eventual breakdown
of the whole graphitic lattice. Further research is, however, warranted
to confirm which molecular mechanism(s) is(are) leading to biodegradation
of GO in the mouse spleen.An interesting and related question
is the nature of the resulting
molecular byproducts of biodegradation and whether they could be eliminated
or not. Although we have not determined the molecular identity or
fate of these in vivo generated degradation products,
our study reveals that their likely production and presence did not
obviously jeopardize the splenic health or growth curve of mice. Similarly,
and in support of our findings, previous studies have reported that
the in vivo administration of carbon nanomaterial
biodegradation byproducts, generated in vitro, lack
toxic consequences for animal subjects.[95,96] However, further
studies would help determine the exact cellular mechanisms that catalyze
the observed biodegradation of GO, as well as the precise molecular
identity and fate of the resulting degradation byproducts, for the
latter, using GO synthesized from 13C-labeled graphite
for instance.Besides the Raman, TEM, and electron diffraction
properties of
GBMs probed herein, the materials’ photothermal properties
could also be exploited in future studies to similarly reveal biodegradation;
this would particularly be relevant to reduced GO.[97,98] Such a concept was previously applied to functionalized CNTs in
2D microglial cell cultures.[99] In this
study, photothermal imaging was used to track the fate of CNTs over
time, revealing their progressive disappearance from the phagocytic
cells. The same technique could, therefore, be applied to quantitatively
determine the dynamics of biodegradation of GBMs in biological systems.In order to obtain more quantitative results regarding biodegradation,
as most of the techniques used herein were at best only providing
semiquantitative assessment, the use of simpler biological models,
such as in vitro 3D cell culture models, should be
explored. In these models, the applied/administrated dose, the delivered
dose, and the cellular dose of nanomaterials may be easier to determine.
Indeed, 3D cell culture models represent a convenient midway point
between 2D cell culture models (which does not replicate adequately
cell–cell and cell–matrix interactions or the complex
diffusion/transport processes seen in 3D tissues)[100,101] and true in vivo animal models. Previous reports
have demonstrated significant differences in the interaction of nanomaterials
with 2D cell cultures compared with 3D cell cultures.[100] This highlights the benefit of the latter as
a more predictive and representative biological model, particularly
when quantitatively determining critical doses of administered materials,
and the dynamics of material degradation in cells, as recently reported
for biosynthesized magnetic iron nanoparticles.[102]
Conclusions
We have provided evidence that following
i.v. administration the small proportion
of GO sheets that
were not initially excreted but accumulated in the spleen did not
induce histopathologic damage. Importantly, we report the maintenance
of the functional (both hematological and immunological) integrity
of the spleen at doses as high as 10 mg/kg, although at the highest
dose administered slight immunological variations were observed. Using
confocal Raman mapping, as well as immunohistochemistry and conventional
Raman spectroscopy in combination, to map the splenic distribution
of GO, we identified that a subpopulation of splenic macrophages,
known as the marginal zone macrophages, were the predominant cells
responsible for bioaccumulating the material. Finally, using an array
of techniques including Raman spectroscopy and TEM coupled with electron
diffraction, we tracked the fate of the bioaccumulated GO over nine
months and provide compelling evidence, down to the ultrastructural
level, to suggest the in vivo biodegradation of GO
to such an extent that the material lost its detectable graphitic
crystalline structure. This further suggests that the initial accumulation
of GO in the spleen was a transient event. This important result supports
the development of thoroughly characterized GO sheets for biomedical
technologies and is highly encouraging especially for systemic drug
delivery purposes, where the biocompatibility and biodegradability
of nanocarriers are a key advantage.[103]
Experimental Section
Graphene Oxide Preparation
The oxidation of graphite
was based on a modified Hummers’ method.[86] Briefly, a mixture of 0.8 g of flake graphite (Graflake
9580, Brazil) and 0.4 g of sodium nitrate (NaNO3) was maintained
at approximately 0 °C using an ice bath. Then 18.4 mL of 96%
sulfuric acid (H2SO4) was added to the mixture
while stirring, followed by the gentle addition of 2.4 g of potassium
permanganate (KMnO4). The mixture was taken from the ice
bath. After 30 min, the mixture increased in viscosity and resulted
in the formation of a dark-colored paste. A volume of 37 mL of Milli-Q
H2O was added. An increase in temperature to 80 °C
was observed, and this continued until 98 °C. The temperature
was maintained at 98 °C for 30 min. After this duration, the
mixture was diluted with a volume of 112 mL of warm Milli-Q H2O. A 12 mL aliquot of 30% H2O2 was added
subsequently. The suspension was centrifuged and pelleted repeatedly
at 7690g for 20 min; the supernatant was then removed
and replaced with Milli-Q H2O. This process was repeated
until the acidic pH of the supernatant was neutralized (pH 7, 20 °C)
and a viscous orange/brown gel layer of single-to-few-layer GO appeared
on top of the graphite oxidation byproducts. This gel-like layer was
carefully extracted with warm water to yield a dispersion of GO. A
known volume of this aqueously dispersed material was freeze-dried,
and the dry material weighed. This allowed the concentration of the
extracted GO material to be determined. The concentration of the material
was found to be 2.4 mg/mL. The aqueously dispersed GO was then subjected
to ultrasonication for 5 min (VWR, 80W) to prepare the desired small
sheet size GO. The internal batch reference of GO used in the present
study is GO (f1s). Samples were characterized via AFM, TEM, selected area electron diffraction (SAED), ATR FT-IR,
TGA, XPS, UV–vis, and fluorescence spectroscopy to confirm
successful synthesis of single to few layer small GO sheets.
Atomic
Force Microscopy
Sample preparation was completed
on freshly cleaved mica, treated with 40 μL of poly-l-lysine (Sigma-Aldrich, UK). The poly-l-lysine was used
to present a positively charged surface that would allow the adhesion
of GO. Aliquots (10 μL) of GO (100 μg/mL) were transferred
onto the mica-poly-l-lysine surface and left to adsorb for
2 min. Unbound structures were removed by gentle rinsing with 2 mL
of Milli-Q H2O and left to dry at room temperature. A multimode
atomic force microscope (Bruker, UK) was applied in tapping mode,
in order to avoid damaging the samples, for height (trace and retrace)
and amplitude measurements. Measurements were performed using an Otespa
tapping mode tip (Bruker, UK). The following parameters were employed:
scan rate, 1 Hz; lines per scan, 512; integral gain, 1; proportional
gain, 5; amplitude set point, 150 mV (maintained approximately constant
between all measurements). Scans were taken at 50, 20, 10, 5, and
2 μm (aspect ratio 1:1). Postimage processing was completed
using the Bruker Nanoscope Analysis version 1.4 software (Bruker,
UK) and included section analysis for measuring the cross-sectional
height of samples.
Transmission Electron Microscopy for Material
Characterization
A 20 μL aliquot of sample (200 μg/mL)
was placed on
a carbon-coated copper grid (CF400-Cu) (Electron Microscopy Services,
UK) and left to adsorb for 2 min. Filter paper (Merk-Millipore, UK)
was used to gently remove the excess dispersed material. Then samples
were observed with a FEI Tecnai 12 BioTWIN microscope (FEI, NL) at
an acceleration voltage of 100 kV. Images were taken with a Gatan
Orius SC1000 CCD camera (Gatan, UK). For SAED of GO sheets, material
samples was prepared as described above, however, on Quantifoil S
7/2 copper grids (Electron Microscopy Services, USA). SAED patterns
were acquired on a FEI Talos 200X (FEI, Eindhoven, NL), operating
at 80 kV and using electron dose rates ranging between 45 and 84 e–·A–1 s–1.
This microscope was equipped with a FEI Ceta CMOS camera. Patterns
were acquired from 0.5 μm2 areas, corresponding to
the 40 μm selected-area aperture. An acquisition time of 1 s
was used.
Raman Spectroscopy for Material Characterization
Samples
were prepared for analysis by drop casting 20 μL of GO (100
μg/mL) dispersion onto a glass slide. Samples were left to dry
for at least 2 h at 37 °C. Spectra were collected using a DXR
Raman microscope (Thermo Fisher Scientific, UK) using a λ =
633 nm laser. Spectra were considered between 250 and 3500 cm–1, enabling the visualization of the D and G scatter
bands. Prior to the measurements, the Raman system was energy calibrated
to a polystyrene reference material. The calibrated instrument had
an energy resolution of 2.5 cm–1. Spectra were collected
at a laser power of 0.4 mW with a magnification lens of 50× (numerical
aperture: 0.75) with a 25 s exposure time and averaged over five locations.
Raman spectra were corrected for tissue autofluorescence using a sixth-order
polynomial baseline correction; all spectra were normalized to the
G peak for I(D)/I(G) calculation
using Origin Pro 8.5.1. software (Origin Lab, USA).
Attenuated
Total Reflection Fourier Transform Infrared Spectroscopy
A drop of GO dispersion was placed into a Tensor 27 FTIR machine
(Bruker, UK) and dried for 5 min at 60 °C until a powder remained.
Spectroscopic analysis was carried out between 750 and 4000 cm–1. Data processing was completed using OriginPro 8.5.1.
software (Origin Lab, USA).
Thermogravimetric Analysis
Lyophilized
GO (2 mg) was
weighed into a ceramic crucible set at 25 °C in a TGA 400 thermogravimetric
analyzer (PerkinElmer, UK). Samples were initially held at 100 °C
for 5 min to reduce the presence of residual water. The temperature
was then increased at a rate of 10 °C per minute from 25 to 995
°C, with a nitrogen flow of 20 mL/min. Measurements were considered
between 100 and 800 °C to avoid water interference. Data processing
was completed using OriginPro 8.5.1. software (Origin Lab, USA).
X-ray Photoelectron Spectroscopy
The chemical composition
of the GO sheets was studied by XPS at the NEXUS facility (the UK’s
National EPSRC XPS Users’ Service, hosted by nanoLAB in Newcastle-upon-Tyne).
XPS spectra was recorded using a Thermo Theta Probe XPS spectrometer
with a monochromatic Al Kα source of 1486.68 eV. The survey
XPS spectra were acquired with a pass energy (PE) of 200 eV, a 1 eV
step size, and a 50 ms dwell time and averaged over five scans. The
etching step was 90 s. The high-resolution C 1s XPS spectra were acquired
with a PE of 40 eV, a step size of 0.1 eV, and a 100 ms dwell time
and averaged over 20 scans. Spectra from insulating samples were charge-corrected
by shifting all peaks to the adventitious carbon C 1s spectral component,
with the binding energy set to 284.6 eV. The CasaXPS software was
used to process the spectra acquired at NEXUS. Processing steps included
the C 1s XPS spectral deconvolution and assignment of the different
deconvoluted spectral components as per the binding energies at which
they arise. These assignments were made in accordance with NIST’s
XPS databases: π–π*: 290–290.2, O–C=O:
289.7–288.2 eV, C=O: 288.1–287.4 eV, C–O:
286.8–286.2, C–C and C=C: 284.6 eV. The full
width half-maximum of each deconvoluted peak, other than that of the
π–π*, was constrained to the same extent, and a
Shirley background was taken. The peak for C–C/C=C was
of an asymmetric line shape, while the rest were of the standard Gaussian–Lorentzian
line shape.
UV/Visible Spectroscopy
The UV–vis
absorbance
spectra of GO were measured by a Varian Cary win UV 50 Bio spectrophotometer
(Agilent Technologies, UK). The GO samples were diluted in water from
7.5 to 20 μL/mL prior to measurement in a 1 mL glass cuvette
with a 1 cm path length. Dual-beam mode and baseline correction were
used throughout the measurements to scan the peak wavelength and maximum
absorbance between 200 and 600 nm.
Fluorescence Spectroscopy
Fluorescence emission spectra
of GO were measured over a concentration range between 75 and 200
μg/mL, using an LS-50B spectrofluorimeter (PerkinElmer, UK),
with both excitation and emission slits set at 20 nm. The excitation
wavelength used was 525 nm.
Animal Handling Procedures
Eight-week-old
C57BL/6 mice
(18.1 ± 0.7 g) were obtained from Harlan (Oxfordshire, UK), allowed
to acclimatize for 1 week, and maintained under a 12 h light–dark
cycle at a steady temperature and humidity. Mice were allowed access
to food and water ad libitum for the duration of
the investigation. All experiments were conducted in accordance with
the UK Home Office Code of Practice (1989) for the housing and care
of animals in scientific procedures in accordance with prior approval
from the UK Home Office (Project License Number: P6C826A12). For short-term
splenic function and structural studies, mice (n =
3) were intravenously administered with GO (2.5, 5, and 10 mg/kg)
or Dex 5% (negative control) and were culled for the different experiments
after 24 h and 1 month. LPS (E. coli O127:B8, L4516-1MG;
Sigma-Aldrich, UK) (5 mg/kg) at 24 h was used as the positive control.
These mice were maintained for only 24 h, since the mice showed symptoms
of distress and were therefore culled at this time point. LPS is known
to illicit inflammatory responses following injection and is commonly
used as a positive control in this respect. Relevant to our study,
LPS can induce increased levels of red blood cell deformity, pro-inflammatory
cytokines, and apoptosis;[41,62] this is expected to
result in alterations to both structure and function of the spleen.
Administration of LPS as a positive control, therefore, allowed us
to compare and gauge the potential toxicological effects of GO on
spleen structure and function. For longer term degradation studies,
mice (n = 3) were administered with either 7.5 mg/kg
or Dex 5% (negative control). The mass concentrations of GO in the
injection was 0.75 mg/mL, corresponding to 150 μg of GO per
injection. Mice were then culled at different time points (1, 7, 14,
30, 90, 180, and 270 days following the single administration) via being subject to terminal anesthesia followed by cervical
dislocation. For all experiments, mice were continuously monitored
and weighed every 4 days during the first month and weekly thereafter.
Spleen Histopathological Analysis
Spleens of mice were
fixed with 4% paraformaldehyde and dehydrated through increasing concentrations
of alcohol (ethanol 50–100%) and embedded by paraffin wax.
Sections of 5 μm were cut on a microtome (Leica, UK), stained
with hematoxylin and eosin stain (H & E), coverslipped with resinous
mounting media, and allowed to dry for 48 h at 37 °C. Images
were collected using a 20× objective in a 3D Histech Panoramic
250 Flash slide scanner. Images were processed and analyzed using
Pannoramic Viewer (http://www.3dhistech.com/) and Fiji/ImageJ software (version 1.5c; National Institutes of
Health, USA). All three mice were examined per condition.
Blood Smear
Analysis
Blood was collected from mice via cardiac puncture and immediately drawn into a capillary
tube. One drop of blood (approximately 4 mm in diameter) was placed
on a clean slide (near the end). The drop was spread by another glass
slide placed at a 45° angle and pressed into the drop of blood,
allowing it to spread via capillary action. The slides
were then fixed with cold methanol (precooled to −20 °C)
and allowed to dry at room temperature. The samples were stained by
H & E stain and imaged as described above. Reticulocytes and abnormal
and aged RBCs were considered as deviant RBCs,[52−56,104] and their percentage
of the total RBCs was calculated. More than 500 cells were counted
for each mouse (n = 3 for each group).
Perls’
Persian Blue Analysis of Spleen Sections
Paraffin-embedded
sections of spleens were sectioned at 5 μm
and then dehydrated as described above. The sections were stained
with a freshly prepared mixture of aqueous solutions of 20% hydrochloric
acid and 10% potassium ferrocyanide trihydrate (Sigma-Aldrich, UK)
at a volume ratio of 1:1, followed by counter staining with nuclear
fast red 0.2% aqueous solution. The slides were dehydrated through
95% and 100% ethanol solutions, respectively, with two consecutive
changes for each concentration. They were then coverslipped with resinous
mounting media and left to dry overnight. Images were collected as
described above. The percentage of blue pigmentation was analyzed
by Fiji/ImageJ software (version 1.5c; National Institutes of Health,
USA). This was obtained from three to four images from each mouse
captured at 20× after setting a threshold (n = 3 mice per group).
Spleen Single-Cell Suspension Preparation
Half spleens
were extracted from mice and placed immediately in RPMI 1640 media
(Sigma-Aldrich, UK) supplemented with 10% FBS (Gibco, Thermo Fisher
Scientific, UK) and 1% penicillin and streptomycin (Sigma-Aldrich,
UK). Single-cell suspensions were obtained by gently passing the spleens
through a 100 μm cell strainer (BD Falcon cell sieve). The cell
suspension was centrifuged at 400g for 5 min, and
the supernatant was discarded. The cells were resuspended in fresh
media, and the contaminating RBCs were removed by adding 3–4
mL of red blood cell lysis buffer (Roche, UK) and allowed to react
at 4 °C for 5 min. The cell suspension was then centrifuged (400g for 5 min), and the cells were pelleted while the supernatant
was discarded. The cell pellet was then resuspended and washed in
fresh media twice. The splenocytes were counted using a cytometer,
aliquoted, and further processed as needed.
T-Lymphocyte Counts by
Flow Cytometry
Splenocytes were
first preincubated with anti-CD16/32 antibodies at 2 μg/mL (eBioscience,
UK, ref #16-0161-85) for 20 min on ice, in order to block nonspecific
binding sites. The cells were washed (centrifuged at 400g for 5 min) and then labeled with the antibody mixture of anti-CD4-PE
at 0.25 μg/mL (eBioscience, UK, ref #12-0041-82) and anti-CD8a
at 0.25 μg/mL. PerCP-Cy5.5 (eBioscience, UK, ref #45-0081-82)
was further incubated with the cells on ice for another 20 min. Cells
were then washed and resuspended in buffer (1% sodium azide and 1%
FBS in 1× PBS) for acquisition. Flow cytometry analysis was carried
out using a BD FACSVerse flow cytometer (Becton Dickinson, Oxford,
UK). Single-color control samples were used to set compensation. PE
and PerCE-Cy5.5 fluorescence was detected with 574/26 nm and 690/50
nm band-pass filters, respectively, after excitation with a 488 nm
blue laser. Data were analyzed and statistics were generated using
the FACSuite v1.6 software (Becton Dickinson, Oxford, UK).
Spleen
Cytokine Gene Expression by RT-qPCR
An Aurum
Total RNA minikit (Biorad, UK) was used to extract the total RNA of
2 × 106 isolated splenocytes. The RNA concentration
and quality were analyzed using UV spectrophotometry (BioPhotometer,
Eppendorf, UK). cDNA synthesis was performed from 1 μg of RNA
sample with an iScript cDNA synthesis kit (Bio-Rad, UK) according
to the manufacturer’s instructions. The protocol for reverse
transcription was set as follows: 25 °C for 5 min, 42 °C
for 30 min, 85 °C for 5 min, and 4 °C for 5 min. A 2 μL
amount of cDNA sample was used for each real-time qPCR reaction performed
with iQ SYBR Green Supermix (Bio-Rad, UK). Experimental duplicates
of each sample were run on a CFX-96 real time system (Bio-Rad, UK)
with the following protocol: 95 °C for 3 min, one cycle; 95 °C
for 10 s, 60 °C for 30 s: repeated for 40 cycles. Melt curve
analysis was conducted at the end of the protocol to confirm amplification
of a single product. β-Actin was used as a housekeeping gene,
and gene expression levels were normalized to the Dex 5%-injected
control group. Primer sequences were as follows: β-actin, Fwd
5′ GACCTCTATGCCAACACAGT 3′ and Rv 5′
AGTACTTGCGCTCAGGAGGA 3′; IL-6, Fwd 5′ ATGGATGCTACCAAACTGGA
3′ and Rv 5′ CCTCTTGGTTGAAGATATGA 3′;
TNFα, Fwd 5′ CAGACCCTCACACTCAGATCATCT
3′ and Rv 5′ CCTCCACTTGGTGGTTTGCTA
3′; IL-1β, Fwd 5′ GGACAGAATATCAACCAACAAGTGATA
3′ and Rv 5′ GTGTGCCGTCTTTCATTACACAG 3′;
IL-10, Fwd 5′ GGTTGCCAAGCCTTATCGGA 3′ and
Rv 5′ ACCTGCTCCACTGCCTTGCT 3′; TGF-β,
Fwd 5′ GACCAGCCGCCGCCGCAGG 3′ and Rv 5′
AGGGCTGTCTGGAGTCCTC 3′.
Confocal Raman Mapping
of Tissue Sections
Mice were
culled and spleens were immediately extracted and washed in 1×
phosphate buffered saline (PBS) (Sigma-Aldrich, UK). One quarter of
each extracted spleen was immediately transversely immersed into the
optimal cutting temperature (O.C.T. compound, Tissue-Tek) media and
then snap-frozen in isopropanol (Sigma-Aldrich, UK) precooled to liquid
nitrogen temperatures. The spleens were cut into 5 μm thick
sections via cryomicrotomy (Leica, UK) and placed
onto glass slides. The tissue sections were then fixed using 300 μL
of ice-cold methanol (Sigma-Aldrich, UK) for 10 min. The sections
were subsequently gently washed in 1× PBS twice in order to remove
the O.C.T. compound. Milli-Q water was used to remove any salt crystals
from the PBS. The sample was redoused with 300 μL of ice-cold
methanol and dried for 1 h at 37 °C to dehydrate the sample.
Raman scanning was completed on regions of the spleen tissue including
the red and white pulp regions. Raman scanning was completed using
a polystyrene calibrated DXRxi Raman mapping system (Thermo Scientific,
UK) using the following conditions: λ = 633 nm, 1 mW, objective
50× (numerical aperture: 0.75), pixel size = 3 μm. The
software was used to generate Raman correlation maps based on the
correlation of the acquired signal with the spectra of the starting
material shown in Figure C. The instrument had an energy resolution of 2.5 cm–1. Dex 5%-treated animals were analyzed in the same way to ensure
no cross contamination as a quality check.
Immunofluorescence with
Raman Spectroscopy
Mice were
culled, and the spleens were immediately extracted and washed in 1×
PBS (Sigma-Aldrich, UK). One quarter of the spleen was immediately
transversely immersed into the O.C.T. compound and snap-frozen in
isopropanol (Sigma-Aldrich, UK) that was precooled to liquid-nitrogen
temperatures. The spleens were next sectioned into 5 μm sections via cryomicrotomy, and the sections were collected onto
glass slides (VWR, UK). Afterward, the tissue sections were fixed
using 300 μL of ice-cold methanol (Sigma-Aldrich, UK) for 10
min. The methanol was removed, and the fixed tissues were incubated
in blocking buffer (1% bovine serum albumin (fraction v, Sigma-Aldrich,
UK), 0.1% Triton X100 in 1× PBS) for 1 h in a humidification
chamber. Tissue sections were washed in a washing buffer that consisted
of 0.1% Triton X100 in 1× PBS, three times for 5 min each. The
washing buffer was removed, and the tissue was incubated with the
biotinylated Anti-SIGN Related 1 antibody [ER-TR9] (#AB51819, Abcam,
UK) diluted in blocking buffer to 3.3 μg/mL for 2 h at room
temperature in a humidification chamber. The antibody solution was
removed, and the tissue sections were gently washed with the washing
buffer three times for 5 min each. The tissue sections were incubated
with the revealing agent, Fluorescein Avidin DCS (Vector Laboratories,
UK), which was diluted to 22 μg/mL with HEPES-buffered saline
(pH 8.2, 20 °C), for 2 h in a humidification chamber. The tissue
was then washed with washing buffer, and excess liquid was removed
using a cotton bud. The tissue sections were coverslipped with Prolong
gold antifade including DAPI (Thermo Fisher Scientific, UK). The sample
was left in the dark at room temperature for a 24 h period. Fluorescence
microscopy was completed, and the regions where ERTR-9 staining was
detected were marked on a customized grid. Controls consisting of
either the revealing agent (Fluorescein Avidin) alone without biotinylated
antibody (to ensure no signal was originating from the unspecific
binding of the revealing agent) or tissues from animals treated with
dextrose 5% were included in this experiment, in order to exclude
false-positive readings. The coverslips were later gently removed
by incubating the slides in 1× PBS overnight at room temperature.
Following this treatment, the coverslips could be removed via gravity; care was taken not to damage the fixed tissue.
The exposed tissues were gently washed with Milli-Q water and left
to dry at 37 °C for 1–2 h. Using the marked grids the
same regions identified by fluorescence microscopy were analyzed by
a “point-and-shoot” polystyrene calibrated DXR Raman
microscope (Thermo Fisher Scientific, UK) using a laser at λ
= 633 nm, 0.4 mW, 50× (numerical aperture of 0.75) and an exposure
time of 25 s and averaged over three readings; the energy resolution
of the instrument was 2.5 cm–1. This allowed the
colocalization of the Raman signature of GO with the immunofluorescence
signal of ERTR-9-positive marginal zone macrophages. The spleens of
at least three mice, with two or more splenic sections, were imaged.
Fluorescence-Activated Cell Sorting with Raman Spectroscopy
A single-cell suspension of splenocytes was obtained as described
above. The isolated cells were then stained with the relevant antibodies
mentioned below as per the manufacturer’s instructions. FACS
was then performed on live cells on a BD Influx cell sorter (BD Biosciences,
Oxford, UK). Fluorescently conjugated antibodies (Miltenyi Biotec
Limited, UK) were excited, and their emission was collected under
the following conditions: CD45-VioBlue, violet laser, band-pass 460/50;
F4/80-v770-PE, yellow-green laser, 750LP; CD11c-FITC, blue laser,
band-pass 530/40; CD209-PE, yellow-green laser, band-pass 585/29;
CD169b, red laser, band-pass 670/30. Cells were gated on an initial
scatter gate to exclude debris. Lymphocytes were identified as CD45+/side scatter low and granulocytes were CD45+/side
scatter high. F4/80+/CD11c– macrophages
were gated from the granulocyte gate and CD11c+/F4/80– dendritic cells were gated from this population too.
The CD209+ and CD169b+ cells were identified
as being F4/80–/CD11c– and identified
by plotting them against each other. Baseline voltages were set using
unlabeled cells, and positive populations were identified using full
minus one (FMO) controls. Cells were filtered through a 50 μm
mesh prior to being sorted through a 100 μm diameter nozzle
at 20 PSI pressure, which generated a drop drive frequency of 38 kHz.
Sort side streams were optimized to enable five separate populations
to be collected simultaneously from each individual sample. Up to
20 000 cells were collected depending on the frequency of the
cell subpopulation in the sample. The event rate was maintained at
2000–3000 events per second to minimize aberrant droplet formation
and ensure a high degree of purity in the sorted cells. Cells were
collected into 1.5 mL tubes containing 1× PBS and then deposited
onto glass slides via a Cytospin apparatus using
a centrifuge set to 350g. The cells were fixed onto
the glass slide with a drop of ice cold methanol. Once dry, the sample
was analyzed via Raman microscopy using a DXR Raman
microscope (Thermo Fisher Scientific, UK) calibrated to polystyrene
with an energy resolution of 2.5 cm–1. Measurements
used a laser at λ = 633 nm, 0.4 mW, 50× (numerical aperture
of 0.75), and an exposure time of 25 s and averaged over three readings.
The percentage of scanned cells in which GO was detected was determined
at each time point, n = three mice × 20 cells.
Cells isolated from Dex 5%-treated mice were processed in the same
way and scanned to ensure there was no cross contamination of GO between
samples.
TUNEL Staining
Spleen sections were embedded in paraffin
wax, sectioned to 5 μm thickness on a microtome (Leica, UK),
and placed on glass slides. The sections then underwent deparafinization via two immersions in xylene for 5 min each, followed by
washing in 100% methanol for 5 min. The samples were subsequently
rehydrated by passing them through a series of decreasing concentrations
of alcohol concentrations (100%, 95%, 85%, 70%, 50%) for 3 min at
each concentration. The sections were further washed in 0.85% NaCl
for 5 min. The rehydrated sections were fixed in 4% formaldehyde (ref
#28908; Thermo Fisher Scientific, UK) for 15 min. The remaining formaldehyde
was then removed by washing in PBS 1× (Sigma-Aldrich, UK) twice
for 5 min each. The excess PBS was removed gently with filter paper,
being careful to not touch the sections. The glass slides with their
fixed sections were then placed on a flat surface, and 10 μL
of a 20 μg/mL proteinase-K solution was placed on each tissue
section. The slides were left with the proteinase K solution for an
optimized time of 8 min. Proteinase K was removed by washing with
PBS for 5 min. Then the tissue was covered with 100 μL of equilibrium
buffer and left to equilibrate for 5 min. The equilibrium buffer was
removed, and 50 μL of rTdT incubation buffer was added onto
each slide and left for 60 min in a humidification chamber at 37 °C.
The slides were next immersed in physiological saline (sodium chloride)
2× to terminate the reaction. The slides were then washed in
PBS 1× (Sigma, UK) twice for 5 min and then washed twice in Milli-Q
water for another 5 min each. The slides were, thereafter, incubated
in 4% Sudan black (in ethanol) for 10 min to eliminate RBC-derived
fluorescence, followed by washing seven times in PBS 1× (Sigma,
UK) for 3 min each and three washes in Milli-Q water for 3 min each.
The slides were coverslipped with Prolong gold antifade including
DAPI (Thermo Fisher Scientific, UK) and left at room temperature in
the dark for 24 h. Images were collected using a 20× objective
in a 3D Histech Panoramic 250 Flash slide scanner. Images were processed
and analyzed using Pannoramic Viewer (http://www.3dhistech.com/)
and Fiji/ImageJ software (version 1.5c; National Institutes of Health,
USA). Three mice were examined per condition. A total of five images
of 300 μm2 were analyzed per mouse. The number of
TUNEL-positive cells was blindly counted by three independent investigators,
and the counts of the three individuals were averaged for each image.
Raman Spectroscopy on Homogenized Spleens
For each
time point analyzed, a quarter of the extracted and washed individual
murine spleens were homogenized mechanically onto a glass slide and
left to dry for 30–60 min at room temperature and pressure.
This was completed in order to assess the state of the overall GO
content of the spleen, instead of cell-specific content. Raman spectroscopy
was performed on the tissue homogenates using a polystyrene calibrated
DXR Raman microscope (Thermo Fisher Scientific, UK) using a λ
= 633 nm laser a 50× objective lens (numerical aperture of 0.75)
and a laser power of 0.4 mW with an exposure time of 25 s. The energy
resolution was 2.5 cm–1. Raman scattering signals
were acquired in at least 10 different regions per mouse with three
biological replicas. Raman spectra were corrected for tissue autofluorescence
using a sixth-order polynomial baseline correction, and the ratio
of intensity of the D and G peaks, I(D)/I(G), was calculated and averaged for n = 10 spectra
for each of the three mice. We also scanned Dex 5%-treated animals
in the same way to ensure no cross contaminations as a quality check.
Histological Marginal Zone Analysis
For each time point
in the degradation study, a quarter of the spleen was fixed with 4%
paraformaldehyde and dehydrated through increasing concentrations
of ethanol (50–100%) and embedded in paraffin wax. Sections
of 5 μm thickness were cut and collected onto glass slides and
then stained with H & E stain. The stained sections were then
coverslipped with resinous mounting media and allowed to dry for 48
h at 37 °C. Images were collected using a 20× objective
and a 3D Histech Panoramic 250 Flash slide scanner. Images were processed
and analyzed to determine the average number of dark regions in the
splenic marginal zone (n = 5 marginal zones for each
of the three mice) using Panoramic Viewer (http://www.3dhistech.com/)
and Fiji/ImageJ software (version 1.5c; National Institutes of Health,
USA).
TEM on Splenic Tissue Sections
For each time point
analyzed, a quarter of each of the extracted and washed murine spleens
was fixed in paraformaldehyde (4% (w/v))/glutaraldehyde (2.5% (w/v))
(Sigma-Aldrich, UK) for 24 h. Following fixation, specimens were cut
into 2–3 mm blocks using a sterile surgical blade. Each specimen
was washed several times with deionized water, submitted to a second
fixation with reduced osmium tetroxide (OsO4) (Agar Scientific,
UK) for 90 min, then rinsed with deionized water and dehydrated through
a series of concentration-graded ethanol (Thermo Fisher Scientific,
UK) solutions, 30%, 50%, 70%, 90%, and 100%. The specimens were incubated
at each concentration for 15 min; dilutions were made in Milli-Q water.
This was followed by the incubation of the specimen in 100% acetone
(Thermo Fisher Scientific, UK) for 15 min. Each specimen was infiltrated
with increasing concentrations of polypropylene TAAB 812 hard resin
(TAAB Laboratories Ltd., UK) (25%, 50%, 75%, and 100%, using acetone
as the diluent) for 12 h at each grade. Next, specimens were left
in 100% resin for a further 6 h at room temperature. Specimens were,
thereafter, orientated in the embedding mold filled with fresh 100%
resin, such that transversal sectioning of the spleen sample would
be possible. The resin (with the orientated sample) was then cured
at 60 °C for 48 h to allow resin polymerization. TEM imaging
was performed on ultrathin sections (approximately 40–70 nm
thickness) obtained using an Ultracut E ultramicrotome (Reichert-Jung,
Austria) and a diamond knife (Diatome 45°, Leica, UK). Ultrathin
sections were collected onto coatless 200-mesh thin copper 3.05 mm
grids (Electron Microscopy Services, USA) and observed under a FEI
Tecnai T-12 BioTWIN TEM (FEI, Eindhoven, NL) equipped with an Orius
CCD SC100 camera (Gatan, UK) at 100 kV. The use of this microscope
and grids allowed efficient observation of the whereabouts and tracking
of the GO within tissue. We also scanned Dex 5%-treated animals in
the same way to ensure no cross contamination as a quality check.
Electron Diffraction of GO in Tissue Sections
Tissues
were fixed and resin-embedded, and ultrathin sections were prepared
for TEM, as described above. In this experiment, the ultrathin sections
were collected onto Quantifoil S 7/2 copper grids (Electron Microscopy
Services, USA). TEM and SAED shown in Figures A-iv, S13, and S14 were performed on a FEI Talos 200X (FEI, Eindhoven, NL) operating
at 80 kV and using electron dose rates ranging between 45 and 84 e–·A–1 s–1.
TEM images and SAED patterns were acquired using a FEI Ceta CMOS camera
on an area of 3.14 × 10–2 and 0.5 μm2 corresponding to the selected-area apertures of 10 and 40
μm, respectively. An acquisition time of 1 s was used for the
collection of TEM images and SAED patterns. However, for the acquisition
of SAED patterns with a 10 μm selected-area aperture, the acquisition
time was set to 8 s.
Statistical Analysis
All experimental
data are represented
as mean ± standard error (SE) or mean ± standard deviation
(SD) as stated in each section, with at least n =
3, 4. Statistical significance was determined by the Kruskal–Wallis
nonparametric test with Dunn’s posthoc test
or a Mann–Whitney U test for pairwise comparisons where appropriate.
For RT-qPCR data Levene’s test for homogeneity of variances
was performed, if it showed significance (p <
0.05); then Welch ANOVA and a Games-Howell’s posthoc test were performed. SPSS software, version 22.0, was used to perform
this analysis. In all experiments, probability values of <0.05
were considered significant.
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